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<?release-delay 0|0?>
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">IJMM</journal-id>
<journal-title-group>
<journal-title>International Journal of Molecular Medicine</journal-title></journal-title-group>
<issn pub-type="ppub">1107-3756</issn>
<issn pub-type="epub">1791-244X</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/ijmm.2024.5475</article-id>
<article-id pub-id-type="publisher-id">ijmm-55-02-05475</article-id>
<article-categories>
<subj-group>
<subject>Review</subject></subj-group></article-categories>
<title-group>
<article-title>Impact of psychological stress on ovarian function: Insights, mechanisms and intervention strategies (Review)</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Hu</surname><given-names>Yu</given-names></name><xref rid="af1-ijmm-55-02-05475" ref-type="aff">1</xref><xref rid="af2-ijmm-55-02-05475" ref-type="aff">2</xref><xref rid="af3-ijmm-55-02-05475" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname><given-names>Wuyang</given-names></name><xref rid="af1-ijmm-55-02-05475" ref-type="aff">1</xref><xref rid="af2-ijmm-55-02-05475" ref-type="aff">2</xref><xref rid="af3-ijmm-55-02-05475" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author">
<name><surname>Ma</surname><given-names>Wenqing</given-names></name><xref rid="af1-ijmm-55-02-05475" ref-type="aff">1</xref><xref rid="af2-ijmm-55-02-05475" ref-type="aff">2</xref><xref rid="af3-ijmm-55-02-05475" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname><given-names>Wenwen</given-names></name><xref rid="af1-ijmm-55-02-05475" ref-type="aff">1</xref><xref rid="af2-ijmm-55-02-05475" ref-type="aff">2</xref><xref rid="af3-ijmm-55-02-05475" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author">
<name><surname>Ren</surname><given-names>Wu</given-names></name><xref rid="af1-ijmm-55-02-05475" ref-type="aff">1</xref><xref rid="af2-ijmm-55-02-05475" ref-type="aff">2</xref><xref rid="af3-ijmm-55-02-05475" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname><given-names>Shixuan</given-names></name><xref rid="af1-ijmm-55-02-05475" ref-type="aff">1</xref><xref rid="af2-ijmm-55-02-05475" ref-type="aff">2</xref><xref rid="af3-ijmm-55-02-05475" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Fu</surname><given-names>Fangfang</given-names></name><xref rid="af1-ijmm-55-02-05475" ref-type="aff">1</xref><xref rid="af2-ijmm-55-02-05475" ref-type="aff">2</xref><xref rid="af3-ijmm-55-02-05475" ref-type="aff">3</xref><xref ref-type="corresp" rid="c1-ijmm-55-02-05475"/></contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Li</surname><given-names>Yan</given-names></name><xref rid="af1-ijmm-55-02-05475" ref-type="aff">1</xref><xref rid="af2-ijmm-55-02-05475" ref-type="aff">2</xref><xref rid="af3-ijmm-55-02-05475" ref-type="aff">3</xref><xref ref-type="corresp" rid="c1-ijmm-55-02-05475"/></contrib></contrib-group>
<aff id="af1-ijmm-55-02-05475">
<label>1</label>Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China</aff>
<aff id="af2-ijmm-55-02-05475">
<label>2</label>National Clinical Research Center for Obstetrical and Gynecological Diseases, Wuhan, Hubei 430030, P.R. China</aff>
<aff id="af3-ijmm-55-02-05475">
<label>3</label>Ministry of Education, Key Laboratory of Cancer Invasion and Metastasis, Wuhan, Hubei 430030, P.R. China</aff>
<author-notes>
<corresp id="c1-ijmm-55-02-05475">Correspondence to: Dr Fangfang Fu or Professor Yan Li, Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, Hubei 430030, P.R. China, E-mail: <email>fufangfang@tjh.tjmu.edu.cn</email>, E-mail: <email>liyan@tjh.tjmu.edu.cn</email></corresp></author-notes>
<pub-date pub-type="collection">
<month>02</month>
<year>2025</year></pub-date>
<pub-date pub-type="epub">
<day>18</day>
<month>12</month>
<year>2024</year></pub-date>
<volume>55</volume>
<issue>2</issue>
<elocation-id>34</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>08</month>
<year>2024</year></date>
<date date-type="accepted">
<day>18</day>
<month>11</month>
<year>2024</year></date></history>
<permissions>
<copyright-statement>Copyright: &#x000A9; 2024 Hu et al.</copyright-statement>
<copyright-year>2024</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivs License</ext-link>, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.</license-p></license></permissions>
<abstract>
<p>Mental stress may lead to ovarian dysfunction. Psychological stress disrupts ovarian function, leading to adverse <italic>in vitro</italic> fertilization outcomes, premature ovarian insufficiency and decreased ovarian reserve. Furthermore, psychological stress caused by decreased ovarian function and infertility can exacerbate the mental burden. In animals, psychological stress leads to ovarian insufficiency, resulting in irregular estrous cycles and decreased ovarian reserve. The present study summarizes effects of psychogenic stress on ovarian function and the underlying mechanisms, highlighting involvement of the hypothalamic-pituitary-adrenal, sympathetic-adrenal-medullary and hypothalamic-pituitary-ovarian axes, as well as the neuroendocrine-metabolic network. Moreover, the present review outlines psychological intervention and metabolic strategies for improving ovarian function, offering potential new approaches for treating ovarian hypofunction. The present study aims to clarify understanding of psychological stress-induced ovarian dysfunction and propose alternative intervention strategies for ovarian dysfunction and infertility.</p></abstract>
<kwd-group>
<title>Key words</title>
<kwd>stress</kwd>
<kwd>ovarian function</kwd>
<kwd>HPA axis</kwd>
<kwd>SAM axis</kwd>
<kwd>HPO axis</kwd>
<kwd>neuroendocrine-metabolic disease</kwd></kwd-group>
<funding-group>
<award-group>
<funding-source>National Key Research and Development Program of China</funding-source>
<award-id>2022YFC2704100</award-id>
<award-id>2021YFC2700402-02</award-id></award-group>
<award-group>
<funding-source>National Natural Science Foundation of China</funding-source>
<award-id>81902669</award-id></award-group>
<funding-statement>The present study was supported by the National Key Research and Development Program of China (grant nos. 2022YFC2704100 and 2021YFC2700402-02) and National Natural Science Foundation of China (grant no. 81902669).</funding-statement></funding-group></article-meta></front>
<body>
<sec sec-type="intro">
<label>1.</label>
<title>Introduction</title>
<p>Globally, stress is a prevalent issue. Mental health obstacles, such as social isolation, fear, loneliness, unemployment, financial instability and loss of family or friends, all contribute to psychological stress (<xref rid="b1-ijmm-55-02-05475" ref-type="bibr">1</xref>). Mental stress causes physical health problems, including weakened immune function, hypertension, gastrointestinal issues, cardiovascular disease, sleep disturbance and ovarian dysfunction (<xref rid="b2-ijmm-55-02-05475" ref-type="bibr">2</xref>,<xref rid="b3-ijmm-55-02-05475" ref-type="bibr">3</xref>). Stress has been widely acknowledged as a key factor that impacts the advancement and onset of ovarian damage (<xref rid="b2-ijmm-55-02-05475" ref-type="bibr">2</xref>,<xref rid="b4-ijmm-55-02-05475" ref-type="bibr">4</xref>). To the best of our knowledge, however, no consistent conclusions have been drawn on the impact of stress on ovarian function based on epidemiological data, clinical trials and experimental studies (<xref rid="b2-ijmm-55-02-05475" ref-type="bibr">2</xref>,<xref rid="b4-ijmm-55-02-05475" ref-type="bibr">4</xref>,<xref rid="b5-ijmm-55-02-05475" ref-type="bibr">5</xref>).</p>
<p>There is a growing body of evidence indicating that psychological stress leads to ovarian dysfunction (<xref rid="b2-ijmm-55-02-05475" ref-type="bibr">2</xref>,<xref rid="b6-ijmm-55-02-05475" ref-type="bibr">6</xref>,<xref rid="b7-ijmm-55-02-05475" ref-type="bibr">7</xref>). Notably, for patients undergoing <italic>in vitro</italic> fertilization (IVF) treatment, higher anxiety leads to lower clinical pregnancy (<xref rid="b8-ijmm-55-02-05475" ref-type="bibr">8</xref>) and fertilization rates (<xref rid="b9-ijmm-55-02-05475" ref-type="bibr">9</xref>), decreased embryo quality (<xref rid="b10-ijmm-55-02-05475" ref-type="bibr">10</xref>) and fewer oocytes retrieved (<xref rid="b11-ijmm-55-02-05475" ref-type="bibr">11</xref>). A prospective study of 274 patients showed that stress reduced the likelihood of conception during the fertile window each day (<xref rid="b12-ijmm-55-02-05475" ref-type="bibr">12</xref>) and participation in stress reduction interventions improves IVF outcomes (<xref rid="b11-ijmm-55-02-05475" ref-type="bibr">11</xref>). Mental stress can also affect ovarian reserve, leading to decreased levels of antral follicle count (AFC) (<xref rid="b13-ijmm-55-02-05475" ref-type="bibr">13</xref>) and anti-M&#x000FC;llerian hormone (AMH) (<xref rid="b14-ijmm-55-02-05475" ref-type="bibr">14</xref>). Moreover, mental stress is also involved in an increased risk of premature ovarian insufficiency (POI) (<xref rid="b15-ijmm-55-02-05475" ref-type="bibr">15</xref>), functional hypothalamic amenorrhea (FHA) (<xref rid="b16-ijmm-55-02-05475" ref-type="bibr">16</xref>) and polycystic ovary syndrome (PCOS) (<xref rid="b17-ijmm-55-02-05475" ref-type="bibr">17</xref>). Furthermore, ovarian insufficiency, such as alteration in female sex hormones, also increases the incidence of depression (<xref rid="b18-ijmm-55-02-05475" ref-type="bibr">18</xref>). Similarly, ovarian dysfunction is observed in mental stress models; both chronic unpredictable stress (CUS) (<xref rid="b19-ijmm-55-02-05475" ref-type="bibr">19</xref>) and chronic restraint stress (CRS) (<xref rid="b20-ijmm-55-02-05475" ref-type="bibr">20</xref>) models lead to depression-like behavior and decreased fertility. Stress can also cause general neuroendocrine system changes, which decrease oocyte quality (<xref rid="b21-ijmm-55-02-05475" ref-type="bibr">21</xref>). In recent years, there has been a growing recognition that stress is an emerging risk factor for metabolic disorder (<xref rid="b22-ijmm-55-02-05475" ref-type="bibr">22</xref>,<xref rid="b23-ijmm-55-02-05475" ref-type="bibr">23</xref>). Metabolic disturbances triggered by stress could lead to conditions such as obesity, type 2 diabetes mellitus (T2DM) and ovary damage (<xref rid="b2-ijmm-55-02-05475" ref-type="bibr">2</xref>).</p>
<p>The present study aimed to investigate the association between psychological stress and ovarian function based on existing clinical evidence. Research on psychological-associated stress and female reproductive endocrine function from a neuroendocrine-metabolic (NEM) perspective and the underlying molecular mechanisms are summarized. Additionally, strategies to safeguard ovarian function from psychological stress are explored. The present review may provide new perspectives and directions for research and treatment of ovarian dysfunction and infertility.</p></sec>
<sec sec-type="methods">
<label>2.</label>
<title>Materials and methods</title>
<sec>
<title>Search strategy</title>
<p>MEDLINE (<ext-link xlink:href="http://clarivate.com.cn/solutions/medline/" ext-link-type="uri">clarivate.com.cn/solutions/medline/</ext-link>) was searched for relevant studies published between January 1960 and December 2023 by using title/abstract terms including 'stress', 'psychological stress', 'mental stress', 'anxiety', 'depression', 'distress', 'cortisol', 'alpha amylase', 'primary ovarian insufficiency', 'Functional hypothalamic amenorrhea', 'polycystic ovary syndrome', 'IVF', 'assisted reproductive technology', 'menopause', 'ovarian reserve', 'anti-M&#x000FC;llerian hormone', 'antral follicle count', 'Chronic stress', 'chronic unpredictable stress', 'restraint stress', 'chronic restraint stress', 'cold stress', 'follicles', 'oocytes', 'granulosa cells', 'ovulation', 'estrous cycle', 'ovarian hormone', 'HPA', 'SAM', 'CRH', 'metabolic syndrome', 'insulin resistance', 'diabetes', 'obesity', 'sleep disorders', 'melatonin', 'psychological intervention', 'cognitive behavioral therapy', 'mindfulness-based stress reduction', 'music therapy', 'yoga', 'caloric restriction', 'metformin', 'resveratrol' or in combination, applying AND and OR operators. To obtain more comprehensive retrieval results, the references of relevant papers were also searched.</p></sec>
<sec>
<title>Inclusion and exclusion criteria</title>
<p>Research and review articles focusing on the role of stress on ovarian function were included. By contrast, research and review articles focusing on the effect of disorders associated with ovarian dysfunction on mental stress, including communications, case reports, guidelines, comments and protocols, were excluded from the present review. Articles written not in English or without available full text were also excluded.</p></sec>
<sec>
<title>Data extraction</title>
<p>The title and abstract of every article were checked by two authors (YH and WW). Disagreements were resolved by a third author (FF). A total of 7,623 articles were found by the initial search; 7,316 papers were removed after checking the title and abstract. Next, 307 papers were filtered for full text, of which 183 met the inclusion criteria; 36 were population studies on the effect of stress on ovarian function, 71 were animal models and 26 were psychological and 50 were metabolic intervention studies.</p></sec></sec>
<sec sec-type="other">
<label>3.</label>
<title>Stress causes ovarian dysfunction</title>
<p>It has been hypothesized that stress may affect ovarian function, however it is unclear whether ovarian dysfunction precedes anxiety or stress precedes ovarian damage (<xref rid="b5-ijmm-55-02-05475" ref-type="bibr">5</xref>). Stress is commonly overlooked as a cause of reproductive vulnerability (<xref rid="b2-ijmm-55-02-05475" ref-type="bibr">2</xref>). Activation of the stress response system suppresses the hypothalamic-pituitary-ovarian (HPO) axis (<xref rid="b24-ijmm-55-02-05475" ref-type="bibr">24</xref>,<xref rid="b25-ijmm-55-02-05475" ref-type="bibr">25</xref>). Daily perceived stress can lead to a decrease in estrogen, progesterone and luteinizing hormone (LH), as well as an increase in follicle-stimulating hormone (FSH) in reproductive-aged patients (<xref rid="b24-ijmm-55-02-05475" ref-type="bibr">24</xref>). Patients with a history of depression also had higher FSH and LH levels and lower estradiol levels and those having more significant depressive symptoms were twice as likely to experience earlier perimenopause transition than those without such history (<xref rid="b25-ijmm-55-02-05475" ref-type="bibr">25</xref>). Additionally, female patients may be more sensitive to lower levels of cortisol than male patients due to increased limbic system activation following repeated stressors (<xref rid="b26-ijmm-55-02-05475" ref-type="bibr">26</xref>). The psychological distress caused by decreased ovarian function may further exacerbate the association between psychological stress and impaired ovarian function (<xref rid="f1-ijmm-55-02-05475" ref-type="fig">Fig. 1</xref>; <xref rid="tI-ijmm-55-02-05475" ref-type="table">Table I</xref>).</p>
<sec>
<title>Decreased assisted reproductive technology (ART) outcome</title>
<p>In assisted reproductive medicine, one of the most controversial areas is the underlying influence of psychological factors on pregnancy outcomes. Infertility is a serious health problem around the world and female infertility factors account for at least 35% of all infertility cases (<xref rid="b27-ijmm-55-02-05475" ref-type="bibr">27</xref>). The risk of anxiety, depression and distress is generally high in infertile patients (<xref rid="b28-ijmm-55-02-05475" ref-type="bibr">28</xref>,<xref rid="b29-ijmm-55-02-05475" ref-type="bibr">29</xref>). A 2004 study that interviewed 122 patients before their first infertility clinic visit utilizing a structured psychiatric interview found that 40.2% had a psychiatric disorder, including major depressive, generalized anxiety and dysthymic disorder (<xref rid="b30-ijmm-55-02-05475" ref-type="bibr">30</xref>). Volgsten <italic>et al</italic> (<xref rid="b31-ijmm-55-02-05475" ref-type="bibr">31</xref>) reported that, of 413 infertile patients undergoing IVF treatment, 127 (30.8%) were diagnosed with psychiatric disorders, with major depression being the most common. In a study involving 352 female and 274 male patients attending infertility clinics in northern California, 56.5% of patients exhibited notable symptoms of depression and 76% showed notable symptoms of anxiety (<xref rid="b32-ijmm-55-02-05475" ref-type="bibr">32</xref>). Infertile patients have higher Beck Depression Inventory (BDI) (14.94&#x000B1;12.90 vs. 8.95&#x000B1;10.49, P&lt;0.0001) and Spielberger Trait Anxiety Inventory (STAI-T) score (48.76&#x000B1;10.96 vs. 41.18&#x000B1;11.26, P&lt;0.0001), indicating a greater experience of anxiety and depression compared with fertile individuals (<xref rid="b33-ijmm-55-02-05475" ref-type="bibr">33</xref>).</p>
<p>Numerous studies have explored the link between psychological symptoms before and during ART cycles and subsequent pregnancy rates, yielding conflicting results: Certain studies suggest that higher distress/anxiety/depression levels before and during treatment are associated with lower pregnancy rates (<xref rid="b8-ijmm-55-02-05475" ref-type="bibr">8</xref>,<xref rid="b9-ijmm-55-02-05475" ref-type="bibr">9</xref>,<xref rid="b11-ijmm-55-02-05475" ref-type="bibr">11</xref>,<xref rid="b34-ijmm-55-02-05475" ref-type="bibr">34</xref>-<xref rid="b39-ijmm-55-02-05475" ref-type="bibr">39</xref>), while others do not (<xref rid="b10-ijmm-55-02-05475" ref-type="bibr">10</xref>,<xref rid="b40-ijmm-55-02-05475" ref-type="bibr">40</xref>-<xref rid="b50-ijmm-55-02-05475" ref-type="bibr">50</xref>). These inconsistencies may be attributed to challenges in accurately assessing stress levels in female patients with infertility and heterogeneity of studies (<xref rid="b5-ijmm-55-02-05475" ref-type="bibr">5</xref>,<xref rid="b28-ijmm-55-02-05475" ref-type="bibr">28</xref>). Future research should therefore focus on developing more precise psychological assessment methods and establishing consistent time points for data collection to enhance quality of research findings.</p></sec>
<sec>
<title>POI</title>
<p>POI is characterized by premature loss of ovarian function and permanent cessation of menstruation before the age of 40 years (<xref rid="b51-ijmm-55-02-05475" ref-type="bibr">51</xref>). Demographic studies confirm that psychological stress, such as emotional trauma, major life events or chronic stress, may be as a potential trigger for POI in certain cases (<xref rid="b52-ijmm-55-02-05475" ref-type="bibr">52</xref>,<xref rid="b53-ijmm-55-02-05475" ref-type="bibr">53</xref>). Individuals with POI report continuous exposure to family and work stress and sleep problems, suggesting that adverse life events may contribute to development of POI (<xref rid="b52-ijmm-55-02-05475" ref-type="bibr">52</xref>).</p>
<p>Among mental disorders associated with POI, depression is most closely associated to POI. A population study involving 290 patients found that 43% of those with POI had a history of depression, with 26% receiving a depression diagnosis before being diagnosed with POI (<xref rid="b15-ijmm-55-02-05475" ref-type="bibr">15</xref>). Depression typically emerges following signs of altered ovarian function but before POI diagnosis (<xref rid="b54-ijmm-55-02-05475" ref-type="bibr">54</xref>), possibly due to a more fragile stress system. Female patients are more likely than male patients to develop depression and changes in estrogen levels can increase susceptibility to this condition (<xref rid="b18-ijmm-55-02-05475" ref-type="bibr">18</xref>,<xref rid="b55-ijmm-55-02-05475" ref-type="bibr">55</xref>). Given the lack of prospective studies on pre-diagnosis stress in patients with POI, more conclusive evidence is needed to determine whether there is an overlapping process or causal association between POI and psychological stress.</p></sec>
<sec>
<title>Diminished ovarian reserve (DOR)</title>
<p>Various indicators are used to assess ovarian reserve (OR), with AFC and AMH being particularly promising (<xref rid="b51-ijmm-55-02-05475" ref-type="bibr">51</xref>). A study on 979 premenopausal patients aged 25-45 years used AFC measured via transvaginal ultrasound to evaluate OR; the finding indicated a positive association between higher stress levels and AFC in younger patients (&#x003B2;=0.545, P=0.005), and stress accelerates age-related AFC decline (&#x003B2;=&#x02212;0.036, P=0.031), suggesting women with higher stress experienced faster AFC loss (<xref rid="b56-ijmm-55-02-05475" ref-type="bibr">56</xref>). Environmental stress might enhance fertility temporarily by increasing the volume of growing follicles, potentially depleting OR in the long-term (<xref rid="b56-ijmm-55-02-05475" ref-type="bibr">56</xref>). Additionally, a cross-sectional study suggested that psychological stress accelerates AFC decline (&#x003B2;=&#x02212;0.070, P=0.021), implying that low positive affectivity may aggravate the adverse impact of stress on AFC decline (<xref rid="b57-ijmm-55-02-05475" ref-type="bibr">57</xref>). Consistent findings across populations reveal that higher levels of perceived stress are linked to decreased AFC and AMH levels (<xref rid="b13-ijmm-55-02-05475" ref-type="bibr">13</xref>). A cross-sectional study on 576 infertile patients demonstrated a negative association between salivary &#x003B1; amylase (SAA), a stress marker, and AMH levels (r=&#x02212;0.315, P&lt;0.001; adjusted for age, r=&#x02212;0.336, P&lt;0.001) (<xref rid="b58-ijmm-55-02-05475" ref-type="bibr">58</xref>). Another study noted modest inverse associations between depression and low AMH among patients aged 36-40 years (adjusted P=0.75, 95%CI, 0.52, 1.09) and nulliparous patients (adjusted P=0.77, 95%CI, 0.59, 1.00) (<xref rid="b14-ijmm-55-02-05475" ref-type="bibr">14</xref>). Taken together, data from the aforementioned population studies suggested that elevated levels of perceived stress, as well as biomarkers of stress, are associated with reduced OR.</p></sec>
<sec>
<title>FHA</title>
<p>FHA or anovulation is characterized by the absence of menstruation and ovulation without an identifiable organic cause. The main determinant of the disease is a combination of psychosocial and metabolic stress (<xref rid="b59-ijmm-55-02-05475" ref-type="bibr">59</xref>). Predisposing factors include low energy use, nutritional deficiencies, abnormal sleep, emotional and chronic severe stress and overexertion or physical activity (<xref rid="b59-ijmm-55-02-05475" ref-type="bibr">59</xref>,<xref rid="b60-ijmm-55-02-05475" ref-type="bibr">60</xref>). More severe depressive and anxious symptoms contribute to onset of FHA (<xref rid="b16-ijmm-55-02-05475" ref-type="bibr">16</xref>,<xref rid="b61-ijmm-55-02-05475" ref-type="bibr">61</xref>-<xref rid="b63-ijmm-55-02-05475" ref-type="bibr">63</xref>). Patients with FHA often exhibit dysfunctional attitudes, such as perfectionism, higher need for approval, and struggle to cope with daily stressors (<xref rid="b59-ijmm-55-02-05475" ref-type="bibr">59</xref>). Cognitive behavioral therapy accelerates the recovery of ovarian function in patients with FHA, underscoring the role of mental stress in development of this condition (<xref rid="b59-ijmm-55-02-05475" ref-type="bibr">59</xref>). As with POI, more prospective studies are needed to explore the effect of psychological stress on FHA.</p></sec>
<sec>
<title>PCOS</title>
<p>PCOS is a prevalent endocrine disorder in patients of reproductive age, characterized by systemic metabolic issue and disruptions in neuroendocrine-immune function (<xref rid="b64-ijmm-55-02-05475" ref-type="bibr">64</xref>). Patients with PCOS are at a higher risk of developing cardiovascular risk factors and associated insulin resistance, dyslipidemia and diabetes (<xref rid="b65-ijmm-55-02-05475" ref-type="bibr">65</xref>). Patients with PCOS also face an elevated likelihood of mood and anxiety disorders (<xref rid="b17-ijmm-55-02-05475" ref-type="bibr">17</xref>,<xref rid="b66-ijmm-55-02-05475" ref-type="bibr">66</xref>,<xref rid="b67-ijmm-55-02-05475" ref-type="bibr">67</xref>). There is a notable prevalence of psychiatric issues among patients with PCOS, including depression (26-40%), anxiety (11.6%) and binge-eating (23.3%) (<xref rid="b17-ijmm-55-02-05475" ref-type="bibr">17</xref>), indicating a potential role of psychological factors in pathophysiology of PCOS. Psychological aspects have been identified as a notable risk factor for PCOS (<xref rid="b68-ijmm-55-02-05475" ref-type="bibr">68</xref>) and emotional distress potentially stems from psychosocial and/or pathophysiological origins (<xref rid="b66-ijmm-55-02-05475" ref-type="bibr">66</xref>). Moreover, patients with PCOS may perceive symptom such as hirsutism and acne or potential outcomes such as infertility and obesity as stigmatizing, leading to distress and potentially exacerbating progression of the disease (<xref rid="b67-ijmm-55-02-05475" ref-type="bibr">67</xref>). However, as meta-analysis has indicated, few studies have focused on the effect of psychological stress on disease and PCOS (<xref rid="b17-ijmm-55-02-05475" ref-type="bibr">17</xref>).</p></sec></sec>
<sec sec-type="other">
<label>4.</label>
<title>Stress models and ovarian dysfunction</title>
<p>Animal models (<xref rid="b69-ijmm-55-02-05475" ref-type="bibr">69</xref>-<xref rid="b71-ijmm-55-02-05475" ref-type="bibr">71</xref>), in which the effects of mental stress can be observed, are widely used for studying pathogenesis of stress-related disorders, such as type 2 diabetes, systemic inflammation, obesity and cancer, and their treatment strategies (<xref rid="f2-ijmm-55-02-05475" ref-type="fig">Fig. 2</xref>; <xref rid="tII-ijmm-55-02-05475" ref-type="table">Table II</xref>).</p>
<sec>
<title>Stress models of ovary research</title>
<sec>
<title>CUS</title>
<p>CUS is a well-established method where animals are subjected to unpredictable stressors over a prolonged period to induce emotional changes, which lead to lasting alterations in animal behavior, gut microbiota and neurological function (<xref rid="b72-ijmm-55-02-05475" ref-type="bibr">72</xref>-<xref rid="b74-ijmm-55-02-05475" ref-type="bibr">74</xref>). The CUS stressors include restraint stress, tail suspension and swimming, with the intensity of stressors gradually increasing to prevent tolerance (<xref rid="b19-ijmm-55-02-05475" ref-type="bibr">19</xref>). Depression-like behaviors induced by CUS are evaluated using tests such as the forced swimming test (FST) and sucrose preference test (SPT) (<xref rid="b75-ijmm-55-02-05475" ref-type="bibr">75</xref>). CUS exposure has been shown to disrupt the estrous cycle, decrease the number of primordial and preantral follicles and corpus luteum, elevate serum FSH and cortisol levels and reduce serum estradiol, AMH and gonadotropin-releasing hormone (GnRH) levels, making it an ideal animal model for studying impaired ovarian function (<xref rid="b19-ijmm-55-02-05475" ref-type="bibr">19</xref>,<xref rid="b76-ijmm-55-02-05475" ref-type="bibr">76</xref>-<xref rid="b80-ijmm-55-02-05475" ref-type="bibr">80</xref>).</p>
<p>CUS has been found to negatively impact oocyte developmental potential, with transcriptome analysis revealing disruption in expression of apoptotic genes and cell cycle regulators (<xref rid="b81-ijmm-55-02-05475" ref-type="bibr">81</xref>). CUS decreases brain-derived neurotrophic factor (BDNF) expression in antral follicles, resulting in decreased number of retrieved oocytes and rate of blastocyst formation, which could be rescued by exogenous BDNF treatment (<xref rid="b82-ijmm-55-02-05475" ref-type="bibr">82</xref>). Another study indicated that CUS significantly decreased the number of retrieved oocytes, fertilization rate and number of embryos (including high-quality embryos and blastocysts), which may be due to different expression of heat shock protein 70 in the embryo after CUS (<xref rid="b83-ijmm-55-02-05475" ref-type="bibr">83</xref>). Additionally, supplementation with exogenous growth differentiation factor 9 (GDF9) rescues development of both secondary and antral follicles in stressed mice (<xref rid="b84-ijmm-55-02-05475" ref-type="bibr">84</xref>). Granulosa cells in the ovary of depression-like mice induced by CUS exhibit increased apoptosis, possibly due to accumulation of reactive oxygen species (ROS) and activation of the mitogen-activated protein kinase (MAPK) pathway resulting from downregulation of isocitrate dehydrogenase-1 expression (<xref rid="b85-ijmm-55-02-05475" ref-type="bibr">85</xref>,<xref rid="b86-ijmm-55-02-05475" ref-type="bibr">86</xref>). This suggests CUS can lead to elevated ovarian oxidative stress and mitochondrial dyshomeostasis, supported by increased expression of superoxide dismutase (SOD), mitochondrial fusion protein optic atrophy 1, mitofusin 1 and nucleus-encoded protein succinate dehydrogenase complex A and decreased expression of mitochondrial fission protein 1 in ovary of stressed mice (<xref rid="b87-ijmm-55-02-05475" ref-type="bibr">87</xref>,<xref rid="b88-ijmm-55-02-05475" ref-type="bibr">88</xref>).</p></sec>
<sec>
<title>CRS</title>
<p>The CRS model, which is commonly used in studies (<xref rid="b89-ijmm-55-02-05475" ref-type="bibr">89</xref>-<xref rid="b91-ijmm-55-02-05475" ref-type="bibr">91</xref>) on psychological stress, involves confining animals in a restraint bucket for a designated period each day, inducing anxiety and depression. Typically, animals are restrained for 4 h daily over an 8-week period (<xref rid="b20-ijmm-55-02-05475" ref-type="bibr">20</xref>), although the number of restraint days and duration/day can be tailored based on experimental objectives and specific circumstances (<xref rid="b92-ijmm-55-02-05475" ref-type="bibr">92</xref>). For example, for studying social interaction, a restraint duration of 5 min is sufficient, however, if the aim is to observe changes in the brain, the restraint time needs to be extended to 6 h (<xref rid="b92-ijmm-55-02-05475" ref-type="bibr">92</xref>).</p>
<p>Mice subjected to CRS display elevated serum cortisol and corticotropin-releasing hormone (CRH) levels, indicating activation of the hypothalamic-pituitary-adrenal (HPA) axis (<xref rid="b21-ijmm-55-02-05475" ref-type="bibr">21</xref>,<xref rid="b93-ijmm-55-02-05475" ref-type="bibr">93</xref>-<xref rid="b98-ijmm-55-02-05475" ref-type="bibr">98</xref>). Additionally, CRS results in decreased ovarian weight, disruption in estrous cycles, increased ovarian fibrosis and overactivation of primordial follicles, which may be attributed to the upregulation of Kit expression and activation of the phosphatidylinositol 3-kinase (PI3K)/PTEN/Akt pathway (<xref rid="b21-ijmm-55-02-05475" ref-type="bibr">21</xref>). CRS increases oocyte aneuploidy, decreases the percentage of blastocysts and number of cells/blastocyst and impaired corpora lutea function during gestation in mice and rats, leading to decreased pregnancy rates and litter size (<xref rid="b99-ijmm-55-02-05475" ref-type="bibr">99</xref>-<xref rid="b101-ijmm-55-02-05475" ref-type="bibr">101</xref>). The decline in fertility associated with CRS may be linked to diminished oocyte quality, with germinal vesicle breakdown (GVBD) being a key indicator of oocyte quality (<xref rid="b102-ijmm-55-02-05475" ref-type="bibr">102</xref>). Following CRS, female mice exhibit compromised oocyte competence, which was characterized by an increase in spindles defects and chromatin misalignment, decrease in GVBD percentage and prolonged GVBD time, which may be due to abnormalities of the Fas/FasL system or TNF-&#x003B1; signaling in oocytes and granulosa cells (<xref rid="b93-ijmm-55-02-05475" ref-type="bibr">93</xref>,<xref rid="b97-ijmm-55-02-05475" ref-type="bibr">97</xref>,<xref rid="b98-ijmm-55-02-05475" ref-type="bibr">98</xref>,<xref rid="b103-ijmm-55-02-05475" ref-type="bibr">103</xref>,<xref rid="b104-ijmm-55-02-05475" ref-type="bibr">104</xref>). Moreover, CRS decreases the expression of cyclin B1 (CCNB1), a key regulator of M-phase/mature promoting factor (<xref rid="b93-ijmm-55-02-05475" ref-type="bibr">93</xref>). Treatment with MG132, an inhibitor of anaphase-promoting complex/cyclosome, rescues prolonged GVBD time and elevates CCNB1 expression in oocytes of CRS-exposed mice (<xref rid="b93-ijmm-55-02-05475" ref-type="bibr">93</xref>). Furthermore, CRS elevates meiotic arrest failure in oocytes by suppressing the cyclic AMP (cAMP) signaling pathway, particularly via the downregulation of G-protein-coupled receptor 3, natriuretic peptide C and natriuretic peptide receptor 2, leading to accelerated oocyte loss and premature ovarian aging (<xref rid="b20-ijmm-55-02-05475" ref-type="bibr">20</xref>). Short-time restraint stress accelerates postovulatory oocyte aging due to elevated cytoplasmic calcium levels and increased oxidative stress (<xref rid="b105-ijmm-55-02-05475" ref-type="bibr">105</xref>).</p></sec>
<sec>
<title>Chronic cold stress</title>
<p>Animals exposed to cold stress experience heightened sympathetic activity and elevated levels of norepinephrine in the ovary (<xref rid="b106-ijmm-55-02-05475" ref-type="bibr">106</xref>-<xref rid="b108-ijmm-55-02-05475" ref-type="bibr">108</xref>), while corticosterone and gonadotropin (Gn) levels are unaffected (<xref rid="b109-ijmm-55-02-05475" ref-type="bibr">109</xref>,<xref rid="b110-ijmm-55-02-05475" ref-type="bibr">110</xref>). As a result, chronic cold stress is commonly used in the examination of overactivation effects of the sympathetic-adrenal-medullary (SAM) axis. The cold stress regimen typically spans 21-28 days, involving activities such as daily 15-min swims in 15&#x000B0;C water or 3-h exposures to 4&#x000B0;C temperature (<xref rid="b111-ijmm-55-02-05475" ref-type="bibr">111</xref>,<xref rid="b112-ijmm-55-02-05475" ref-type="bibr">112</xref>).</p>
<p>The majority of studies show that prolonged exposure to cold stress may result in extended estrous cycle, reduced level of estrogen and progesterone, decreased corpus luteum count and increased follicular atresia in rats (<xref rid="b111-ijmm-55-02-05475" ref-type="bibr">111</xref>,<xref rid="b113-ijmm-55-02-05475" ref-type="bibr">113</xref>-<xref rid="b115-ijmm-55-02-05475" ref-type="bibr">115</xref>). The observed hindered follicular development may be attributed to increased nerve growth factor levels in the ovary stemming from sympathetic activation, breakdown of the gap junctions between oocyte and cumulus cells and dysregulation of the NRF2/Connexin-43 (CX43)/steroidogenic acute regulatory (StAR)/progesterone pathway in granulosa cells following cold exposure (<xref rid="b106-ijmm-55-02-05475" ref-type="bibr">106</xref>). Cold stress triggers the upregulation of endothelin-1 (ET-1) and ET-receptor type A, alongside downregulation of ET-receptor type B protein, thereby disrupting the ovarian vascular endothelin system, leading to vasoconstriction and microcirculation issues in rats (<xref rid="b113-ijmm-55-02-05475" ref-type="bibr">113</xref>). This compromised blood flow may impede ovarian function by decreasing oxygen and nutrient delivery to the ovary (<xref rid="b116-ijmm-55-02-05475" ref-type="bibr">116</xref>). However, a previous study indicated that prepubertal rats that experience chronic cold stress do not exhibit altered ovarian architecture that affects the ovulation in adulthood (<xref rid="b117-ijmm-55-02-05475" ref-type="bibr">117</xref>). When animals were exposed to both chronic restraint and cold water stress, the results were different (<xref rid="b118-ijmm-55-02-05475" ref-type="bibr">118</xref>,<xref rid="b119-ijmm-55-02-05475" ref-type="bibr">119</xref>): A study showed that the number of atretic follicles and the percentage of apoptotic granulosa cells are notably increased following exposure to restraint stress, while another study indicated that there were no effects on the ovaries after exposure to cold stress (<xref rid="b118-ijmm-55-02-05475" ref-type="bibr">118</xref>,<xref rid="b119-ijmm-55-02-05475" ref-type="bibr">119</xref>).</p></sec>
<sec>
<title>Other stress models</title>
<p>A model of high housing density is conducted by housing eight C57BL/6 mice in a 484 cm<sup>2</sup> ventilated cage which results in increased stocking density and elevated stress hormones among the mice (<xref rid="b120-ijmm-55-02-05475" ref-type="bibr">120</xref>). Mice housed in more densely packed conditions exhibit higher corticosterone and lower AMH levels, alongside a great number of atretic ovarian follicles (<xref rid="b120-ijmm-55-02-05475" ref-type="bibr">120</xref>). The scream model subjects mice to noise levels between 45 and 60 dB for 6 h daily over 3 weeks, leading to decreased levels of AMH and estradiol, loss of primordial and preantral follicles, increased apoptosis in granulosa cell and ultimately decreased litter sizes (<xref rid="b121-ijmm-55-02-05475" ref-type="bibr">121</xref>). An additional study indicated that maternal separation stress could simulate early life stress (<xref rid="b122-ijmm-55-02-05475" ref-type="bibr">122</xref>), with population studies suggesting that early life stress may be associated with an earlier onset of menarche and menopause (<xref rid="b123-ijmm-55-02-05475" ref-type="bibr">123</xref>-<xref rid="b125-ijmm-55-02-05475" ref-type="bibr">125</xref>). In a previous study, female litters were separated from their mothers between postnatal days 2 and 16 for 6 h/day, with the home cages of the litters placed on a warming pad set at 33-35&#x000B0;C to prevent undue stress (<xref rid="b122-ijmm-55-02-05475" ref-type="bibr">122</xref>). After 14 days, there was a significant decrease in the activity of SOD, glutathione peroxidase and catalase, accompanied by oocyte development disorder (<xref rid="b122-ijmm-55-02-05475" ref-type="bibr">122</xref>). A predatory stress model suggests that the rate of blastocyst of formation, and the number of cells/blastocyst significantly decreases in stressed mice (<xref rid="b126-ijmm-55-02-05475" ref-type="bibr">126</xref>). Chronic immobilization stress could disrupt the estrous cycle, decrease serum levels of AMH, increase the serum levels of FSH and cortisol and reduce the number of primordial follicles (<xref rid="b127-ijmm-55-02-05475" ref-type="bibr">127</xref>). In addition, cortisol injection simulates the impact of stress-induced cortisol elevation on ovarian function (<xref rid="b128-ijmm-55-02-05475" ref-type="bibr">128</xref>).</p>
<p>While animal models enhance the current understanding of psychiatric disorders, they have certain limitations; for example, animals are incapable of conveying sadness, guilt or suicidal thoughts, which are symptoms mostly confined to humans (<xref rid="b129-ijmm-55-02-05475" ref-type="bibr">129</xref>).</p></sec>
<sec>
<title>Evaluation of stress models</title>
<p>Following successful modeling, the experimental animals display indications such as anhedonia and melancholy, in addition to other signs of depression such as disturbed sleep, alterations in weight and appetite, anxiousness and isolation from social interaction, mirroring the symptoms observed in humans with major depressive disorder (<xref rid="b130-ijmm-55-02-05475" ref-type="bibr">130</xref>).</p></sec>
<sec>
<title>SPT</title>
<p>SPT is frequently utilized to evaluate anhedonia (<xref rid="b131-ijmm-55-02-05475" ref-type="bibr">131</xref>-<xref rid="b133-ijmm-55-02-05475" ref-type="bibr">133</xref>). Test subjects are provided with a choice between water sources containing sucrose or plain water; decreased appetite for sucrose is considered to indicate anhedonia (<xref rid="b131-ijmm-55-02-05475" ref-type="bibr">131</xref>).</p></sec>
<sec>
<title>FST</title>
<p>To evaluate behaviors associated with hopelessness, FST is employed. The animal is positioned in a cylinder filled with water; if the subject recognizes that escape is unattainable, it may exhibit depressive-like behavior characterized by limited movement except that necessary to keep the snout above the water level (<xref rid="b134-ijmm-55-02-05475" ref-type="bibr">134</xref>).</p></sec>
<sec>
<title>Tail suspension test (TST)</title>
<p>TST is a common method for assessing depressive-like behavior, with the time spent motionless by the subject over a 6-min period recorded (<xref rid="b135-ijmm-55-02-05475" ref-type="bibr">135</xref>).</p></sec>
<sec>
<title>Open field test (OFT)</title>
<p>OFT detects the locomotor activity and exploratory behavior (<xref rid="b136-ijmm-55-02-05475" ref-type="bibr">136</xref>). Upon introduction to a new open field, animals display fear of the unfamiliar surroundings by staying along the outer edges, although curiosity spurs them to venture further into the center (<xref rid="b137-ijmm-55-02-05475" ref-type="bibr">137</xref>,<xref rid="b138-ijmm-55-02-05475" ref-type="bibr">138</xref>). In general, mice tend to hug the walls due to thigmotaxis, moving primarily along the perimeter (<xref rid="b137-ijmm-55-02-05475" ref-type="bibr">137</xref>). This behavior is amplified in mice exhibiting anxiety-like traits; mice with lower anxiety levels are inclined to spend more time in the central, open region of the field (<xref rid="b137-ijmm-55-02-05475" ref-type="bibr">137</xref>).</p></sec>
<sec>
<title>Light-dark box (LDB)</title>
<p>LDB box test exploits instinctual aversion to well-lit areas and spontaneous exploration in response to mild stressors, such as novel environments and light exposure (<xref rid="b139-ijmm-55-02-05475" ref-type="bibr">139</xref>). The delay in a mouse entry into the dark section indicates an avoidance of the bright area due to anxiety, while movements between compartments reflect exploratory behavior.</p></sec>
<sec>
<title>Elevated plus maze (EPM)</title>
<p>EPM is extensively utilized for evaluating anxiety-related behavior in laboratory animals, particularly rodents (<xref rid="b140-ijmm-55-02-05475" ref-type="bibr">140</xref>-<xref rid="b142-ijmm-55-02-05475" ref-type="bibr">142</xref>). Similar to OFT and LDB, EPM exploits the emotional adaptive responses that animals exhibit when confronted with unavoidable aversive situations (<xref rid="b143-ijmm-55-02-05475" ref-type="bibr">143</xref>).</p></sec>
<sec>
<title>Commonly used models for ovarian function research</title>
<p>Recent studies (<xref rid="b75-ijmm-55-02-05475" ref-type="bibr">75</xref>,<xref rid="b85-ijmm-55-02-05475" ref-type="bibr">85</xref>,<xref rid="b98-ijmm-55-02-05475" ref-type="bibr">98</xref>) exploring the effects of mental stress on ovarian function have predominantly employed CUS and CRS models. Animals exposed to stress in these models exhibit decreased preference for sucrose in the SPT and total distance traveled and locomotor activity duration and increased time spent in the peripheral zones during OFT. On the other hand, the cold stress mode primarily activates the SAM system and does not significantly alter mouse behavior and is more appropriate for studying the effects of stress-induced sympathetic nervous activation on ovarian function. These models not only induce depression-like behaviors but also affect ovarian function, such as irregular estrous cycle, decreased ovarian reserve. Thus, they provide a more comprehensive reflection of the impact of psychological stress on ovarian function.</p></sec></sec></sec>
<sec sec-type="other">
<label>5.</label>
<title>Mechanism of ovarian dysfunction caused by mental stress</title>
<p>During the stress response, the autonomic nervous system reacts instantly by triggering the SAM axis and activating the HPA axis (<xref rid="b144-ijmm-55-02-05475" ref-type="bibr">144</xref>). Stimulation of autonomic nerves prompts release of norepinephrine (NE) from neuronal terminals, leading to the activation of the adrenal medulla and subsequent discharge of epinephrine, resulting in activation of the SAM axis (<xref rid="b145-ijmm-55-02-05475" ref-type="bibr">145</xref>). The activation of the hypothalamic paraventricular nucleus (PVN) in the brain induces release of CRH and arginine vasopressin (AVP) into the pituitary portal system. CRH and AVP synergistically stimulate secretion of pituitary adrenocorticotropic hormone, which enters the systemic circulation, reaches the adrenal cortex and promotes the production and release of cortisol (<xref rid="b146-ijmm-55-02-05475" ref-type="bibr">146</xref>). Additionally, CRH that is released from the PVN area of the inferior colliculus can activate locus coeruleus neurons, increasing NE production (<xref rid="b147-ijmm-55-02-05475" ref-type="bibr">147</xref>). The neuroendocrine system serves critical roles in regulating basal homeostasis and responding to threats and it is also involved in the pathogenesis of diseases marked by imbalance or dyshomeostasis (<xref rid="b148-ijmm-55-02-05475" ref-type="bibr">148</xref>-<xref rid="b150-ijmm-55-02-05475" ref-type="bibr">150</xref>). Prolonged exposure to life stressors in individuals with a susceptible genetic makeup can lead to visceral fat build-up, attributed to persistent hypercortisolism, reactive insulin hypersecretion and reduced growth hormone secretion (<xref rid="b68-ijmm-55-02-05475" ref-type="bibr">68</xref>). Furthermore, in adults, stress can induce hypogonadism, and lead to symptoms such as loss of libido and subfertility (<xref rid="b68-ijmm-55-02-05475" ref-type="bibr">68</xref>).</p>
<p>Elevated levels of cortisol have the potential to disturb the equilibrium of hormones key for reproductive function, such as GnRH, LH and FSH, leading to a disruption in ovarian function (<xref rid="b151-ijmm-55-02-05475" ref-type="bibr">151</xref>,<xref rid="b152-ijmm-55-02-05475" ref-type="bibr">152</xref>). Additionally, stress hormones released by the SAM axis impact the HPO axis by influencing the secretion of GnRH and other regulatory hormones responsible for ovarian function (<xref rid="b145-ijmm-55-02-05475" ref-type="bibr">145</xref>). Furthermore, premature cessation of ovulation may be related to elevated serum triglycerides and high-density lipoprotein cholesterol levels (<xref rid="b153-ijmm-55-02-05475" ref-type="bibr">153</xref>). Patients with POI exhibit irregularities in lipid and glucose metabolism (<xref rid="b154-ijmm-55-02-05475" ref-type="bibr">154</xref>). <xref rid="f3-ijmm-55-02-05475" ref-type="fig">Fig. 3</xref> demonstrates associations between psychological stress, HPA and HPO axes, sympathetic adrenal system and metabolic disorders influencing ovarian function, highlighting the role of HPA and SAM axis activation along with metabolic disorder (<xref rid="f4-ijmm-55-02-05475" ref-type="fig">Fig. 4</xref>; <xref rid="tIII-ijmm-55-02-05475" ref-type="table">Tables III</xref> and <xref rid="tIV-ijmm-55-02-05475" ref-type="table">IV</xref>).</p>
<sec>
<title>HPA axis</title>
<p>The HPA axis serves a key role in the functioning of the neuroendocrine system, overseeing responses to stress and managing bodily functions such as digestion, immunity, mood, sexual behavior and energy regulation (<xref rid="b68-ijmm-55-02-05475" ref-type="bibr">68</xref>). Activation of the HPA axis impacts ovarian function by boosting the levels of cortisol and CRH. Additionally, it can suppress release of gonadotropins, such as FSH and LH, thereby affecting synthesis of steroid hormones, ovulation and menstrual cycle (<xref rid="b155-ijmm-55-02-05475" ref-type="bibr">155</xref>). Previous research has indicated that the surge in cortisol and CRH resulting from HPA axis activation, along with the inhibition of the HPO axis, are key factors in impairing ovarian function (<xref rid="b156-ijmm-55-02-05475" ref-type="bibr">156</xref>).</p>
<p>In a CRS model, activation of the HPA axis results in impaired oocyte developmental potential and decreased fertility (<xref rid="b21-ijmm-55-02-05475" ref-type="bibr">21</xref>,<xref rid="b93-ijmm-55-02-05475" ref-type="bibr">93</xref>-<xref rid="b95-ijmm-55-02-05475" ref-type="bibr">95</xref>). Previous studies indicated that patients undergoing IVF experienced higher levels of state anxiety and serum cortisol (<xref rid="b39-ijmm-55-02-05475" ref-type="bibr">39</xref>,<xref rid="b157-ijmm-55-02-05475" ref-type="bibr">157</xref>). Additionally, patients with high anticipatory state anxiety and cortisol concentrations have lower pregnancy rates (<xref rid="b158-ijmm-55-02-05475" ref-type="bibr">158</xref>), supporting the link between HPA axis activation and decreased fertility. However, a cross-sectional study of 89 infertile patients revealed that increased perceived mental stress is an independent predictor of increasing FSH levels (&#x003B2;=0.22, P=0.045) and likelihood for DOR (OR=9.97, 95%CI, 1.66, 55.99, P=0.012), but there was no significant difference in serum cortisol levels between patients with DOR and normal OR (r=&#x02212;0.176, P=0.287), which suggests that serum cortisol levels, representing current stress, may not significantly be associated with ovarian reserve or infertility (<xref rid="b159-ijmm-55-02-05475" ref-type="bibr">159</xref>). In direct exposure studies, mouse oocytes exposed to physiological or stress-induced levels of cortisol during <italic>in vitro</italic> maturation did not show any impact on nuclear maturation or embryo development (<xref rid="b94-ijmm-55-02-05475" ref-type="bibr">94</xref>,<xref rid="b160-ijmm-55-02-05475" ref-type="bibr">160</xref>). Conversely, injection of cortisol into female mice resulted in impaired oocyte development, decreased mitochondrial membrane potential and increased oxidative stress and granulosa cell apoptosis through activating the TNF-&#x003B1; system (<xref rid="b128-ijmm-55-02-05475" ref-type="bibr">128</xref>). These effects may be linked to decreased expression of insulin-like growth factor 1 (IGF-1) and BDNF in granulosa cells and decreased FasL/Fas secretion in ovaries and oocytes (<xref rid="b161-ijmm-55-02-05475" ref-type="bibr">161</xref>). The differing impacts of cortisol <italic>in vivo</italic> and <italic>in vitro</italic> may be attributed to the indirect influence of cortisol on oocytes via the NEM network. In rats, exposure to CRS leads to increased expression of hypothalamic RFamide-related peptide-3 (RFRP3) and levels of circulating corticosterone, resulting in decreased HPG axis function (<xref rid="b95-ijmm-55-02-05475" ref-type="bibr">95</xref>). However, following a complete estrous cycle, female rats exhibit decreased inclination towards mating; the stress-induced reproductive dysfunction in female rats is alleviated by suppressing RFRP3 expression using a cytomegalovirus promoter-driven lentivirus vector. This indicates that elevated levels of RFRP3 under stress may have enduring detrimental impacts on fertility (<xref rid="b95-ijmm-55-02-05475" ref-type="bibr">95</xref>).</p>
<p>During stress, the hypothalamus produces a neuropeptide known as CRH, which serves a vital role in the regulation of ovarian functions, as its receptors have been identified in reproductive organs, including ovary, uterus and placenta (<xref rid="b162-ijmm-55-02-05475" ref-type="bibr">162</xref>). Previous research has shown that CRH is responsible for activation of primordial follicles in cultured newborn mouse ovaries <italic>in vitro</italic> (<xref rid="b21-ijmm-55-02-05475" ref-type="bibr">21</xref>). Furthermore, CRS could result in a decrease in oocyte competence and an increase in both CRH and CRH receptor (CRH-R) expression in the ovary (<xref rid="b97-ijmm-55-02-05475" ref-type="bibr">97</xref>). Co-culturing mouse granulosa cells with CRH activates the Fas/FasL and TNF-&#x003B1; systems, leading to heightened apoptosis of granulosa cells and oocytes, as well as impaired early embryonic development (<xref rid="b97-ijmm-55-02-05475" ref-type="bibr">97</xref>,<xref rid="b103-ijmm-55-02-05475" ref-type="bibr">103</xref>). CRH-R antagonists such as antalarmin are effective in inhibiting these damaging effects (<xref rid="b97-ijmm-55-02-05475" ref-type="bibr">97</xref>). In another study, injection of CRH in female rats for 12 days post-mating resulted in a 40% disruption in pregnancy (<xref rid="b163-ijmm-55-02-05475" ref-type="bibr">163</xref>). These findings suggest that CRH negatively impacts reproductive function.</p>
<p>Stress-induced activation of the HPA axis results in increased levels of glucocorticoids in the bloodstream, along with disrupted functioning of the HPO axis and ovarian cycle. In female mice, chronic stress reduces the synthesis and release of LH mediated by GnRH (<xref rid="b164-ijmm-55-02-05475" ref-type="bibr">164</xref>). One explanation for decreased LH secretion may be the elevated levels of cortisol due to stress. A previous study on mice exposed to long-term corticosterone demonstrated a notable decrease in LH levels, accompanied by alteration in neuronal activity in the pituitary gonadotroph cells (<xref rid="b165-ijmm-55-02-05475" ref-type="bibr">165</xref>). CRS in rats inhibits the preovulatory LH surge (<xref rid="b166-ijmm-55-02-05475" ref-type="bibr">166</xref>), while CUS has been shown to raise cortisol levels and SOD activity (<xref rid="b87-ijmm-55-02-05475" ref-type="bibr">87</xref>), both of which impact ovulation. Moreover, patients diagnosed with FHA exhibit high activation of the HPA axis, indicated by increased levels of cortisol in the blood (<xref rid="b167-ijmm-55-02-05475" ref-type="bibr">167</xref>). Furthermore, patients with FHA who experience spontaneous recovery of ovarian function show lower serum cortisol levels post-recovery compared with those who do not recover from FHA (<xref rid="b168-ijmm-55-02-05475" ref-type="bibr">168</xref>).</p></sec>
<sec>
<title>SAM axis</title>
<p>Ovarian function is regulated by the autonomic nervous system, which cooperates with the HPO axis (<xref rid="b169-ijmm-55-02-05475" ref-type="bibr">169</xref>). Sympathetic fibers from the celiac ganglia extend to ovarian follicles, mainly targeting the theca layer, where NE, the principal neurotransmitter, interacts with &#x003B2;-adrenergic receptors situated in the theca and granulosa cells (<xref rid="b170-ijmm-55-02-05475" ref-type="bibr">170</xref>-<xref rid="b172-ijmm-55-02-05475" ref-type="bibr">172</xref>). Neural and hormonal signals integrate to control steroid production and development of ovarian follicles (<xref rid="b173-ijmm-55-02-05475" ref-type="bibr">173</xref>). Notably, during stressful conditions, excessive activation of the SAM axis disrupts this equilibrium, leading to compromised ovarian function (<xref rid="b174-ijmm-55-02-05475" ref-type="bibr">174</xref>).</p>
<p>Previous research on rats has shown that normal aging process is associated with elevated NE levels and increased sympathetic activity within the ovary (<xref rid="b175-ijmm-55-02-05475" ref-type="bibr">175</xref>), implying that SAM axis activation promotes ovarian aging. Chronic exposure to cold stress activates the sympathetic nervous system, causing prolonged estrous cycle, decreased levels of estrogen and progesterone and corpus luteum count and heightened follicular atresia in rats (<xref rid="b114-ijmm-55-02-05475" ref-type="bibr">114</xref>,<xref rid="b115-ijmm-55-02-05475" ref-type="bibr">115</xref>,<xref rid="b117-ijmm-55-02-05475" ref-type="bibr">117</xref>,<xref rid="b176-ijmm-55-02-05475" ref-type="bibr">176</xref>).</p>
<p>Surgical denervation of the ovary and blocking the &#x003B2;-adrenergic receptor using propranolol decrease ovarian sympathetic activity, leading to a decrease in ovarian kisspeptin (KISS1) and an increase in FSH receptor (FSHR) expression. This may enhance follicle growth, suggesting activation of the SAM axis could hinder ovarian function by elevating ovarian KISS1 levels (<xref rid="b177-ijmm-55-02-05475" ref-type="bibr">177</xref>). NE is detected in human follicular fluid (<xref rid="b178-ijmm-55-02-05475" ref-type="bibr">178</xref>). However, physiological levels of NE are unable to trigger NE receptor activation but can induce the generation of ROS in granulosa cells (<xref rid="b178-ijmm-55-02-05475" ref-type="bibr">178</xref>). <italic>In vitro</italic>, rat granulosa cells display increased apoptosis upon co-culture with NE (<xref rid="b179-ijmm-55-02-05475" ref-type="bibr">179</xref>). Furthermore, following recovery from cold stress model, rats exhibited sustained elevated levels of ovarian NE, disrupted estrous cycle and reduced fertility, indicating that SAM axis activation may have lasting impacts on ovarian function in rats (<xref rid="b111-ijmm-55-02-05475" ref-type="bibr">111</xref>).</p>
<p>Data from population studies also corroborate the harm caused by SAM axis activation on ovarian function (<xref rid="b12-ijmm-55-02-05475" ref-type="bibr">12</xref>,<xref rid="b58-ijmm-55-02-05475" ref-type="bibr">58</xref>,<xref rid="b180-ijmm-55-02-05475" ref-type="bibr">180</xref>,<xref rid="b181-ijmm-55-02-05475" ref-type="bibr">181</xref>). A previous population-based study including 274 patients showed significant decreases in the likelihood of conceiving during the fertile window in the first cycle of attempting pregnancy for patients with high SAA levels compared with those with low levels (fecundability odds ratio, FOR=0.85, 95%CI, 0.67, 1.09) (<xref rid="b12-ijmm-55-02-05475" ref-type="bibr">12</xref>). Although SAA is a marker for stress and SAM activity, these findings support the idea that stress impacts female fertility through the SAM pathway (<xref rid="b12-ijmm-55-02-05475" ref-type="bibr">12</xref>). Similarly, a study on 401 patients found that those in the top tertile for SAA levels had a 29% decrease in fecundity (longer time to pregnancy) compared with those in the bottom tertile (FOR=0.71, 95%CI, 1.04, 4.11), and this decrease in fecundity leads to an increased risk of infertility (Relative Risk, RR=2.07, 95%CI=1.04, 4.11) (<xref rid="b181-ijmm-55-02-05475" ref-type="bibr">181</xref>). Aside from its potential impact on fertility rates, SAM axis activation may also influence OR. A study on 576 infertile patients found that higher levels of SAA were linked to lower serum AMH (r=&#x02212;0.315; adjusted r=&#x02212;0.336, both P&lt;0.0001) (<xref rid="b58-ijmm-55-02-05475" ref-type="bibr">58</xref>). Another population study involving 107 patients revealed that follicular NE levels had a negative association with proportion of good quality embryos (r=&#x02212;0.62, P&lt;0.05) but not with clinical pregnancy rates (<xref rid="b180-ijmm-55-02-05475" ref-type="bibr">180</xref>).</p></sec>
<sec>
<title>Metabolic disorder</title>
<p>The activation of stress-associated neuroendocrine systems plays a key role in maintaining body equilibrium, yet excessive stress can disrupt homeostasis (<xref rid="b148-ijmm-55-02-05475" ref-type="bibr">148</xref>). Previous studies indicate that life stress poses a risk and has prognostic implications for metabolic conditions such as obesity, T2DM and metabolic syndrome (<xref rid="b3-ijmm-55-02-05475" ref-type="bibr">3</xref>,<xref rid="b182-ijmm-55-02-05475" ref-type="bibr">182</xref>). Moreover, involvement of the HPA and SAM axes due to mental stress is linked to increased metabolic disorder (<xref rid="b183-ijmm-55-02-05475" ref-type="bibr">183</xref>,<xref rid="b184-ijmm-55-02-05475" ref-type="bibr">184</xref>). Notably, patients with metabolic syndrome or T2DM exhibit lower OR compared with healthy counterparts (<xref rid="b185-ijmm-55-02-05475" ref-type="bibr">185</xref>,<xref rid="b186-ijmm-55-02-05475" ref-type="bibr">186</xref>), highlighting the connection between stress, metabolic disorder and ovarian function.</p></sec>
<sec>
<title>Abnormal glucose metabolism and insulin resistance</title>
<p>Previous research suggests that stressors such as stressful life events, emotional distress, anger, poor sleep and work stress disrupt glucose balance and promote insulin resistance (<xref rid="b187-ijmm-55-02-05475" ref-type="bibr">187</xref>). As a result, these stressors are considered independent risk factors for T2DM (<xref rid="b188-ijmm-55-02-05475" ref-type="bibr">188</xref>,<xref rid="b189-ijmm-55-02-05475" ref-type="bibr">189</xref>) and individuals experiencing chronic stress are at a higher risk of developing T2DM compared with non-stressed individuals (<xref rid="b190-ijmm-55-02-05475" ref-type="bibr">190</xref>). T2DM is a chronic metabolic disorder characterized by hyperglycemia and insulin resistance, both of which may contribute to ovarian dysfunction (<xref rid="b191-ijmm-55-02-05475" ref-type="bibr">191</xref>,<xref rid="b192-ijmm-55-02-05475" ref-type="bibr">192</xref>).</p>
<p>As reviewed by Dri <italic>et al</italic> (<xref rid="b193-ijmm-55-02-05475" ref-type="bibr">193</xref>), granulosa, theca and stromal compartments of the ovary express insulin receptors, which bind to insulin and IGF-1, dysregulating dynamics of OR and/or impairing the survival and competence of the oocytes. Previous studies <italic>in vitro</italic> have demonstrated that insulin can stimulate these receptors in granulosa and theca cells, resulting in elevated levels of androgen, estrogen and progesterone (<xref rid="b194-ijmm-55-02-05475" ref-type="bibr">194</xref>-<xref rid="b196-ijmm-55-02-05475" ref-type="bibr">196</xref>). Prolonged stress and insulin resistance can lead to reduced &#x003B2;-cell function, necessitating exogenous insulin administration (<xref rid="b197-ijmm-55-02-05475" ref-type="bibr">197</xref>). Chronic exposure to high systemic insulin levels stimulates ovarian insulin and IGF-1 receptors, resulting in follicle stimulation and increased production of ovarian androgens (<xref rid="b198-ijmm-55-02-05475" ref-type="bibr">198</xref>). Persistent hyperglycemia can negatively impact folliculogenesis and ovarian function, potentially via advanced glycation end-products (AGEs) and their receptors (<xref rid="b191-ijmm-55-02-05475" ref-type="bibr">191</xref>,<xref rid="b199-ijmm-55-02-05475" ref-type="bibr">199</xref>). AGEs decrease oocyte developmental competence and vascularization, induce hypoxia and decrease glucose uptake (<xref rid="b200-ijmm-55-02-05475" ref-type="bibr">200</xref>). Insulin resistance can also disrupt ovulation by impeding recruitment of dominant follicles, leading to anovulatory states and menstrual irregularity (<xref rid="b201-ijmm-55-02-05475" ref-type="bibr">201</xref>). Moreover, in T1DM, folliculogenesis, oogenesis and embryo development are impaired in mice (<xref rid="b202-ijmm-55-02-05475" ref-type="bibr">202</xref>), but the underlying mechanism needs to be further investigated.</p>
<p>Previous population studies have indicated an association between abnormal glucose metabolism, insulin resistance and ovarian function (<xref rid="b173-ijmm-55-02-05475" ref-type="bibr">173</xref>-<xref rid="b180-ijmm-55-02-05475" ref-type="bibr">180</xref>). The incidence of oligomenorrhea is notably higher in patients with T2DM compared with those with normal blood glucose levels (<xref rid="b203-ijmm-55-02-05475" ref-type="bibr">203</xref>,<xref rid="b204-ijmm-55-02-05475" ref-type="bibr">204</xref>). Additionally, Study of Women's Health Across the Nation Bone, a longitudinal and ethnically diverse research project (n=2,171), observed that patients with diabetes at the start of the study reached menopause ~3 years sooner than non-diabetic counterparts (P=0.002) (<xref rid="b205-ijmm-55-02-05475" ref-type="bibr">205</xref>). Similarly, Sekhar <italic>et al</italic> (<xref rid="b206-ijmm-55-02-05475" ref-type="bibr">206</xref>) reported that the mean age of menopause is lower in patients with T2DM (44.65 years) compared with those without T2DM (48.2 years; P&lt;0.01). A retrospective cohort study by Qin <italic>et al</italic> (<xref rid="b207-ijmm-55-02-05475" ref-type="bibr">207</xref>) found that patients with T2DM had significantly decreased AMH levels (2.43&#x000B1;2.31 vs. 3.58&#x000B1;2.58 <italic>&#x003BC;</italic>g/l, P&lt;0.001), and T2DM was an independent risk factor for clinical pregnancy rate (adjusted OR=0.458, adjusted 95% CI, 0.235, 0.891, P=0.022) and live birth rate (adjusted OR=0.227, adjusted 95%CI, 0.101, 0.513, P&lt;0.001). Furthermore, early menopause (onset at &lt;45 years of age) was found to be more prevalent among patients with T2DM compared with those without T2DM (<xref rid="b206-ijmm-55-02-05475" ref-type="bibr">206</xref>). Decreased estrogen secretion post-menopause can increase visceral fat deposition and insulin resistance, significantly elevating risk of T2DM (<xref rid="b208-ijmm-55-02-05475" ref-type="bibr">208</xref>), and hormone replacement therapy has been shown to mitigate this risk (<xref rid="b209-ijmm-55-02-05475" ref-type="bibr">209</xref>,<xref rid="b210-ijmm-55-02-05475" ref-type="bibr">210</xref>). Similarly, decreased insulin sensitivity and impaired glucose metabolism are observed in animal models that underwent ovariectomy, but these effects are reversed by chronic estrogen administration (<xref rid="b211-ijmm-55-02-05475" ref-type="bibr">211</xref>,<xref rid="b212-ijmm-55-02-05475" ref-type="bibr">212</xref>). These findings highlight the key role of estrogens in maintaining glucose homeostasis. Consequently, stress-induced impaired glucose metabolism may lead to ovarian dysfunction, which can cause further abnormal glucose metabolism.</p>
<p>In summary, stress-induced abnormal glucose metabolism has detrimental effects on ovarian function throughout the reproductive lifecycle. However, more animal studies and cohort studies are required to elucidate the interplay between these factors.</p></sec>
<sec>
<title>Obesity</title>
<p>Obesity has emerged as a growing health crisis with notable repercussions for public health. In recent years, accumulating evidence indicated that stress, notably increased levels of cortisol, plays a crucial role in the onset of obesity (<xref rid="b213-ijmm-55-02-05475" ref-type="bibr">213</xref>-<xref rid="b216-ijmm-55-02-05475" ref-type="bibr">216</xref>). Chronic stress activates the HPA axis, which results in elevated circulating cortisol levels. This causes the redistribution of white adipose tissue towards the abdominal area, and also increases appetite, particularly for calorie-dense foods (<xref rid="b217-ijmm-55-02-05475" ref-type="bibr">217</xref>). Notably, the obesity epidemic coincides with factors such as elevated cortisol production, prolonged stress, consumption of high glycemic index foods and poor sleep quality (<xref rid="b3-ijmm-55-02-05475" ref-type="bibr">3</xref>). The Prospective Urban and Rural Epidemiological study involving 120,000 individuals found that participants with higher life stress scores (encompassing work, family and financial stress and major life events) exhibited a higher prevalence of abdominal obesity compared with those with lower life stress (<xref rid="b218-ijmm-55-02-05475" ref-type="bibr">218</xref>). Moreover, in elderly female patients, central obesity becomes common due to redistribution of adipose tissue associated with aging (<xref rid="b219-ijmm-55-02-05475" ref-type="bibr">219</xref>). Similar patterns observed in fat redistribution due to chronic stress and aging in female patients suggest a potential connection between these factors (<xref rid="b220-ijmm-55-02-05475" ref-type="bibr">220</xref>). Recent studies increasingly highlight that obesity is associated not only with stress but also with diminished ovarian function (<xref rid="b221-ijmm-55-02-05475" ref-type="bibr">221</xref>-<xref rid="b223-ijmm-55-02-05475" ref-type="bibr">223</xref>).</p>
<p>Population-based studies have demonstrated an inverse association between obesity and OR (<xref rid="b186-ijmm-55-02-05475" ref-type="bibr">186</xref>-<xref rid="b192-ijmm-55-02-05475" ref-type="bibr">192</xref>). A cross-sectional study on 36 healthy patients aged 40-52 years showed that AMH and inhibin levels of obese patients were reduced by 77 (0.06, 95%CI, 0.12, 0.67 vs. 0.02 ng/ml, 95%CI, 0.12, 0.67, P=0.02) and 24% (12.5, 95%CI, 10.1, 15.4 ng/ml vs. 9.5 ng/ml, 95% CI, 8.0, 11.3, P=0.08), respectively, compared with normal-weight patients after adjusting for age, body mass index (BMI), race, smoking status and alcohol use (<xref rid="b224-ijmm-55-02-05475" ref-type="bibr">224</xref>). In a previous study involving 1,654 African American patients aged 23-35 years, it was observed that obese participants exhibited 23.7% lower AMH concentration (2.9 vs. 3.8 ng/ml) compared with those with a BMI &#x02264;25 kg/m<sup>2</sup> (<xref rid="b225-ijmm-55-02-05475" ref-type="bibr">225</xref>). This finding has been corroborated by several other research studies (<xref rid="b226-ijmm-55-02-05475" ref-type="bibr">226</xref>-<xref rid="b228-ijmm-55-02-05475" ref-type="bibr">228</xref>). Additionally, obesity is linked to anovulatory cycles, irregular menstrual period and, diminished implantation and pregnancy rate and it may also be associated with PCOS (<xref rid="b229-ijmm-55-02-05475" ref-type="bibr">229</xref>,<xref rid="b230-ijmm-55-02-05475" ref-type="bibr">230</xref>). Research on the effects of a high-fat diet (HFD) on ovarian follicular development has indicated a decrease in number of primordial follicles (<xref rid="b231-ijmm-55-02-05475" ref-type="bibr">231</xref>). Exposure to HFD results in follicular atresia, and accelerated follicle loss in rats via the activation of mTOR and the inhibition of sirtuin 1 (SIRT1) signaling, leading to premature ovarian failure (POF) (<xref rid="b232-ijmm-55-02-05475" ref-type="bibr">232</xref>). Previous studies on diet-induced obesity in mice reveal increased oocyte apoptosis (<xref rid="b233-ijmm-55-02-05475" ref-type="bibr">233</xref>), the presence of multiple spindles (double spindles) (<xref rid="b234-ijmm-55-02-05475" ref-type="bibr">234</xref>) and oocyte mitochondrial dysfunction such as decreased mitochondrial membrane potential, mitochondrial distribution and ATP levels (<xref rid="b235-ijmm-55-02-05475" ref-type="bibr">235</xref>). These findings are supported by population studies: For example, Machtinger <italic>et al</italic> (<xref rid="b236-ijmm-55-02-05475" ref-type="bibr">236</xref>) found that severe obesity is associated with a higher incidence of spindle anomalies in failed fertilized oocytes, with observations of double spindles (OR=2.68, 95%CI, 1.39-5.15, P=0.003) and disorganized single spindles (OR=4.58, 95%CI, 1.05-19.86, P=0.04). A recent study reported that an increase in BMI was negatively associated with OR measured by AMH levels in patients with PCOS (&#x003B2;=&#x02212;0.03, 95%CI, &#x02212;0.06-0.00, P=0.034) (<xref rid="b237-ijmm-55-02-05475" ref-type="bibr">237</xref>). Although direct evidence linking stress-induced obesity with impaired ovarian function is lacking, the aforementioned indirect evidence supports this connection.</p></sec>
<sec>
<title>Sleep disorder and decreased melatonin</title>
<p>Sleep disorder caused by mental stress are widely hypothesized to be associated with infertility and ovarian dysfunction (<xref rid="b238-ijmm-55-02-05475" ref-type="bibr">238</xref>-<xref rid="b240-ijmm-55-02-05475" ref-type="bibr">240</xref>). Previous studies on animals have indicated that sleep deprivation (SD) disrupts the regularity of the estrous cycle and results in anovulation, potentially leading to reproductive dysfunction (<xref rid="b241-ijmm-55-02-05475" ref-type="bibr">241</xref>,<xref rid="b242-ijmm-55-02-05475" ref-type="bibr">242</xref>). Negative effects of SD may impede follicular development during ovarian hyperstimulation due to an increase in corticosterone levels in rats (<xref rid="b243-ijmm-55-02-05475" ref-type="bibr">243</xref>). SD has been shown to significantly elevate serotonin levels, which decreases estradiol production induced by FSH and FSH-driven expression of StAR protein in follicles, resulting in decreased estrogen levels in the bloodstream (<xref rid="b244-ijmm-55-02-05475" ref-type="bibr">244</xref>). This is also supported by population-based research: A large-scale prospective cohort study that monitored 80,840 patients from the Nurses' Health Study between 1991 and 2013 discovered that working rotating night shifts for 2 or &gt;10 years is associated with earlier onset of menopause (<xref rid="b245-ijmm-55-02-05475" ref-type="bibr">245</xref>).</p>
<p>Melatonin secretion decreases with age, which serves a crucial role in regulating sleep and metabolic balance, with its lipophilic nature giving it potent antioxidant properties (<xref rid="b246-ijmm-55-02-05475" ref-type="bibr">246</xref>). Melatonin is a key player in combating aging by protecting cells from oxidative damage, a process exacerbated by the natural decline in melatonin levels over time (<xref rid="b247-ijmm-55-02-05475" ref-type="bibr">247</xref>,<xref rid="b248-ijmm-55-02-05475" ref-type="bibr">248</xref>). Previous findings linked CUS to increased ovarian ROS levels, with ROS-induced oxidative stress being a notable contributor to ovarian damage and aging (<xref rid="b85-ijmm-55-02-05475" ref-type="bibr">85</xref>). Previous studies have demonstrated that melatonin safeguards mouse ovarian granulosa cells by mitigating oxidative stress-induced DNA damage, mitochondrial dysfunction, lipid peroxidation and apoptosis (<xref rid="b249-ijmm-55-02-05475" ref-type="bibr">249</xref>), which are associated with the SIRT1/FOXO1 and FOS pathways (<xref rid="b249-ijmm-55-02-05475" ref-type="bibr">249</xref>-<xref rid="b252-ijmm-55-02-05475" ref-type="bibr">252</xref>). Moreover, melatonin improves oocyte quality by neutralizing ROS generated during follicle maturation and ovulation and fertilization via NADPH, glutathione (GSH), bone Morphogenetic Protein 15 (BMP15) and SIRT1/SOD2-associated mechanisms (<xref rid="b253-ijmm-55-02-05475" ref-type="bibr">253</xref>-<xref rid="b256-ijmm-55-02-05475" ref-type="bibr">256</xref>). On the other hand, melatonin supplements also significantly alleviated spindle/chromosome disorganization, which may involve the SIRT2-dependent H4K16 deacetylation pathway (<xref rid="b257-ijmm-55-02-05475" ref-type="bibr">257</xref>,<xref rid="b258-ijmm-55-02-05475" ref-type="bibr">258</xref>). Clinical trials have indicated that melatonin treatment in infertile patients can elevate follicular melatonin levels, reduce oxidative damage and enhance fertilization and pregnancy rates (<xref rid="b253-ijmm-55-02-05475" ref-type="bibr">253</xref>,<xref rid="b257-ijmm-55-02-05475" ref-type="bibr">257</xref>,<xref rid="b259-ijmm-55-02-05475" ref-type="bibr">259</xref>). Importantly, decreased melatonin secretion has been linked to a higher risk of diabetes (<xref rid="b260-ijmm-55-02-05475" ref-type="bibr">260</xref>), underscoring the association between melatonin levels, metabolic health and ovarian function.</p></sec></sec>
<sec sec-type="other">
<label>6.</label>
<title>Intervention strategies for ovarian dysfunction</title>
<sec>
<title>Psychological intervention strategies for ovarian dysfunction</title>
<p>The likelihood of depression, anxiety and distress is notably high among patients experiencing infertility and psychological symptoms adversely affect fertility (<xref rid="b261-ijmm-55-02-05475" ref-type="bibr">261</xref>). Additionally, onset of depression often occurs before the diagnosis of POI, implying that depression and/or its treatment may contribute to development of POI (<xref rid="b15-ijmm-55-02-05475" ref-type="bibr">15</xref>).</p>
<p>The effectiveness of psychological interventions in decreasing psychological distress and association with significant increases in pregnancy rates has been shown (<xref rid="b5-ijmm-55-02-05475" ref-type="bibr">5</xref>). After receiving antidepressant medication and psychotherapy, infertile patients with depression have higher pregnancy rates (<xref rid="b262-ijmm-55-02-05475" ref-type="bibr">262</xref>). Patients with POF/POI may benefit from psychological interventions, as emotional and other menopausal symptoms may be prolonged and not always alleviated by hormone therapy (<xref rid="b15-ijmm-55-02-05475" ref-type="bibr">15</xref>). Stress management and psychological therapy have been linked to spontaneous pregnancy in certain infertile couples. Multiple studies have documented cases of infertile couples conceiving naturally after adopting a child (<xref rid="b263-ijmm-55-02-05475" ref-type="bibr">263</xref>,<xref rid="b264-ijmm-55-02-05475" ref-type="bibr">264</xref>). The aforementioned data suggests that psychological interventions may be a promising approach for these individuals to enhance quality of life.</p></sec>
<sec>
<title>Cognitive behavioral therapy (CBT)</title>
<p>CBT can help patients alleviate stress and achieve relaxation by identifying and analyzing problems, recognizing unproductive thoughts and behaviors, creating and implementing replacement thoughts and behaviors, regular review and adjustment of strategies, and applying learned skills to daily life (<xref rid="b265-ijmm-55-02-05475" ref-type="bibr">265</xref>). CBT has been demonstrated to be an effective approach in treating depressive disorder, with meta-analyses of randomized controlled trials corroborating its efficacy for both anxiety (<xref rid="b266-ijmm-55-02-05475" ref-type="bibr">266</xref>-<xref rid="b268-ijmm-55-02-05475" ref-type="bibr">268</xref>) and depression (<xref rid="b269-ijmm-55-02-05475" ref-type="bibr">269</xref>,<xref rid="b270-ijmm-55-02-05475" ref-type="bibr">270</xref>).</p>
<p>A randomized controlled trial involving 56 pregnant patients with a history of primary infertility indicated that CBT counseling alleviates perceived stress, and anxiety, as well as enhancing the quality of life score (<xref rid="b271-ijmm-55-02-05475" ref-type="bibr">271</xref>). Domar <italic>et al</italic> (<xref rid="b272-ijmm-55-02-05475" ref-type="bibr">272</xref>) showed that infertile patients assigned to either structured CBT or standard support groups had a higher pregnancy rate (52 vs. 20%, P=0.05), compared with those who did not participate in these programs during their second IVF cycle; however, P-value decreased slightly to 0.038 after adjusting for intracytoplasmic sperm injection (ICSI) through logistic regression. Mean stress scores after CBT treatment in infertile patients were significantly decreased compared with before (2.7&#x000B1;0.62 vs. 3.5&#x000B1;0.62; P&lt;0.05) (<xref rid="b273-ijmm-55-02-05475" ref-type="bibr">273</xref>), which was confirmed by a previous web-based CBT study (<xref rid="b274-ijmm-55-02-05475" ref-type="bibr">274</xref>). Researchers have identified CBT as an effective treatment for enhancing the quality of life (vasomotor symptoms, physical, psychosocial, sexual and total domain) of perimenopausal patients (<xref rid="b275-ijmm-55-02-05475" ref-type="bibr">275</xref>-<xref rid="b280-ijmm-55-02-05475" ref-type="bibr">280</xref>). A randomized controlled trial conducted with 50 patients with POI revealed mean scores of stress &#x0005B;adjusted mean difference (AMD), &#x02212;10.97; 95%CI, &#x02212;11.64, &#x02212;10.29; P&lt;0.001&#x0005D;, state anxiety (AMD, &#x02212;14.76; 95%CI, &#x02212;15.77, &#x02212;13.74; P&lt;0.001), trait anxiety (AMD, &#x02212;14.41; 95%CI, &#x02212;15.47, &#x02212;13.74; P&lt;0.001) and depression (AMD, &#x02212;7.44; 95%CI, &#x02212;8.41, &#x02212;6.46; P&lt;0.001) were significantly lower in the CBT group compared with control group receiving routine care (<xref rid="b281-ijmm-55-02-05475" ref-type="bibr">281</xref>), suggesting healthcare providers should employ this method to enhance mental health in these patients.</p>
<p>A study allocated 16 patients with FHA equally to CBT group or an observation group for 20 weeks; 6/8 patients in the CBT group experienced recovery of ovarian activity compared with 2/88 in the observation group (87.5 vs. 25.0%, &#x003C7;<sup>2</sup>=7.14) (<xref rid="b282-ijmm-55-02-05475" ref-type="bibr">282</xref>). Besides promoting ovulation, CBT has also been shown to lower cortisol levels in patients with FHA (<xref rid="b283-ijmm-55-02-05475" ref-type="bibr">283</xref>). CBT not only reinstates ovarian function but also impacts metabolic processes (<xref rid="b284-ijmm-55-02-05475" ref-type="bibr">284</xref>). A pilot study on 12 adolescents with PCOS demonstrated that CBT notably decreases weight (104&#x000B1;26 vs. 93&#x000B1;18 kg, P&lt;0.05) and improves depression score (17&#x000B1;3 vs. 9.6&#x000B1;2, P&lt;0.01) (<xref rid="b285-ijmm-55-02-05475" ref-type="bibr">285</xref>). Another study involving 15 overweight/obese adolescents with PCOS revealed that weekly CBT + lifestyle modification sessions (LS) for 8 weeks significantly led to weight loss, enhanced quality of life and reduced depressive symptoms compared with those only receiving LS intervention (<xref rid="b286-ijmm-55-02-05475" ref-type="bibr">286</xref>).</p></sec>
<sec>
<title>Mindfulness-based stress reduction (MBSR)</title>
<p>MBSR, a strategy of lessening stress and anxiety through meditation, breathwork and body awareness, is a methodical mindfulness meditation plan that is progressively accessible in medical and healthcare environments to boost mental health and general wellbeing (<xref rid="b287-ijmm-55-02-05475" ref-type="bibr">287</xref>). MBSR has been demonstrated to decrease mental suffering and enhance life quality in patients with cancer, heart disease and depressions (<xref rid="b288-ijmm-55-02-05475" ref-type="bibr">288</xref>,<xref rid="b289-ijmm-55-02-05475" ref-type="bibr">289</xref>).</p>
<p>Individuals diagnosed with POF or POI often experience prolonged mood disturbance and other menopausal symptoms that may not be effectively alleviated by hormone therapy (<xref rid="b15-ijmm-55-02-05475" ref-type="bibr">15</xref>), indicating that MBSR may offer potential benefits. A randomized controlled trial including 197 symptomatic peri- and postmenopausal patients found that both MBSR and menopause education control (MEC) decreases total Greene Climacteric Scale score and symptom score reduction of anxiety and depression is significant in the MBSR compared with the MEC group (anxiety, 5.97&#x000B1;2.49 vs. 6.97&#x000B1;2.57, P=0.07; depression, 4.78&#x000B1;2.60 vs. 5.39&#x000B1;2.41, P=0.031) (<xref rid="b290-ijmm-55-02-05475" ref-type="bibr">290</xref>). In patients with POI, mindfulness practices have been shown to decrease scores of menopause-specific quality of life (compared with baseline, 48.32&#x000B1;4.96 vs. 95.6&#x000B1;9.77, P&lt;0.0001; compared with control, 48.32&#x000B1;4.96 vs. 102.6&#x000B1;14.9, P&lt;0.0001) and the frequency of hot flushes (6.74&#x000B1;6.34 vs. 23.4&#x000B1;13.9, P&lt;0.0001) (<xref rid="b291-ijmm-55-02-05475" ref-type="bibr">291</xref>). MBSR improves emotional wellbeing and biological outcomes in infertile patients (<xref rid="b292-ijmm-55-02-05475" ref-type="bibr">292</xref>-<xref rid="b294-ijmm-55-02-05475" ref-type="bibr">294</xref>).</p></sec>
<sec>
<title>Music therapy</title>
<p>Previous research has shown that music therapy has the potential to decrease stress, improve quality of life and alleviate depression and anxiety (<xref rid="b295-ijmm-55-02-05475" ref-type="bibr">295</xref>). In a randomized-controlled study of 48 postmenopausal patients, music therapy significantly decreased BDI score (11.81&#x000B1;8.62 vs. 16.44&#x000B1;6.09, P=0.031) compared with control and the Menopause Rating Scale (MRS) total and sub-scale scores were significantly decreased when comparing before and after intervention (<xref rid="b296-ijmm-55-02-05475" ref-type="bibr">296</xref>).</p>
<p>In a study of 40 patients with perimenopause syndrome, music therapy was more likely to improve psychological and emotional symptoms compared with CBT (MRS total, 9.2 vs. 3.5, P=0.008; MRS-psychological, 6.5 vs. 0.9, P=0.004; Patient Health Questionnaire 9 score, 4.3 vs. 1.6, P=0.009) (<xref rid="b297-ijmm-55-02-05475" ref-type="bibr">297</xref>). A comprehensive meta-analysis indicated that music therapy decreases the anxiety (MD=&#x02212;3.09, 95%CI, &#x02212;5.57, &#x02212;0.61, P=0.01) and pain score (MD=&#x02212;2.93, 95%CI, &#x02212;3.86, &#x02212;2.00, P&lt;0.0001) and increased the satisfaction score (MD=1.51, 95%CI, 0.40, 2.61, P=0.008) in infertile patients undergoing ART (<xref rid="b298-ijmm-55-02-05475" ref-type="bibr">298</xref>). While music therapy increases the clinical pregnancy rates, the difference is not statistically significant (RR=1.08, 95%CI, 0.94, 1.26, P=0.28) (<xref rid="b298-ijmm-55-02-05475" ref-type="bibr">298</xref>,<xref rid="b299-ijmm-55-02-05475" ref-type="bibr">299</xref>).</p></sec>
<sec>
<title>Other methods to manage stress</title>
<p>Alongside seeking advice from professional psychologists, individuals may opt for self-care. An evaluation of 166 patients undergoing first-time IVF through a randomized controlled prospective study, examining the effectiveness of a cognitive coping and relaxation intervention (CCRI) that could be self-administered indicated that patients who engaged in the CCRI demonstrated enhanced positive reappraisal coping, better Fertility Quality of Life score and reduced levels of anxiety (<xref rid="b300-ijmm-55-02-05475" ref-type="bibr">300</xref>). Another randomized controlled prospective pilot study explored the impact of an online version of the mind/body program (<xref rid="b301-ijmm-55-02-05475" ref-type="bibr">301</xref>), where patients assigned to the intervention group showed significant decreases in anxiety and depression, along with an increased likelihood of pregnancy.</p>
<p>Yoga has been shown to be a beneficial intervention for anxiety and depression, stress reduction and enhancement of the overall wellbeing among the general public (<xref rid="b302-ijmm-55-02-05475" ref-type="bibr">302</xref>). Furthermore, yoga can alleviate anxiety and depression in individuals undergoing IVF treatment and increase the ART success rate (<xref rid="b303-ijmm-55-02-05475" ref-type="bibr">303</xref>). Yoga can enhance the quality of life in relation to infertility, with a specific focus on diminishing adverse emotions and cognition linked to infertility (<xref rid="b304-ijmm-55-02-05475" ref-type="bibr">304</xref>). A separate study investigating yoga as a complementary approach for patients receiving IVF treatment yielded comparable results (<xref rid="b305-ijmm-55-02-05475" ref-type="bibr">305</xref>). Yoga alleviates the menopausal symptoms, anxiety and depression of menopausal patients and decreases the levels of FSH and LH (<xref rid="b306-ijmm-55-02-05475" ref-type="bibr">306</xref>,<xref rid="b307-ijmm-55-02-05475" ref-type="bibr">307</xref>).</p>
<p>Frederiksen <italic>et al</italic> (<xref rid="b308-ijmm-55-02-05475" ref-type="bibr">308</xref>) assessed advantages of expressive writing for individuals with from infertility; male and female patients exhibited a noticeable decrease in depressive symptoms. In addition, adhering to a balanced diet, leading a healthy lifestyle and managing work-life balance are potential strategies to alleviate stress and safeguard ovarian function (<xref rid="b309-ijmm-55-02-05475" ref-type="bibr">309</xref>).</p></sec>
<sec>
<title>Metabolic interventions for ovarian dysfunction</title>
<p>As aforementioned, the activation of stress-associated neuroendocrine systems causes metabolic imbalance in the body, and metabolic disorders lead to ovary dysfunction.</p></sec>
<sec>
<title>Caloric restriction (CR)</title>
<p>CR refers to a reduction in calorie consumption without eliminating essential nutrients (<xref rid="b310-ijmm-55-02-05475" ref-type="bibr">310</xref>). CR is hypothesized to extend the lifespan of rodents, yeast, worms, flies and primates by decreasing body weight and slowing aging process (<xref rid="b311-ijmm-55-02-05475" ref-type="bibr">311</xref>). CR has been shown to mitigate age-associated diseases such as neurodegeneration, hepatic steatosis and T2DM (<xref rid="b312-ijmm-55-02-05475" ref-type="bibr">312</xref>).</p>
<p>Notably, recent studies have shown that CR can protect ovarian function. CR decreases aneuploidy, chromosomal misalignment and meiotic spindle abnormality in oocytes in aged mice (<xref rid="b313-ijmm-55-02-05475" ref-type="bibr">313</xref>-<xref rid="b315-ijmm-55-02-05475" ref-type="bibr">315</xref>). CR can attenuate aging-associated decrease in chromosomal cohesion and protect the normal progress of meiosis (<xref rid="b315-ijmm-55-02-05475" ref-type="bibr">315</xref>). CR enhances ovarian estrogen sensitivity and inhibits ovulation, thereby extending reproductive lifespan (<xref rid="b316-ijmm-55-02-05475" ref-type="bibr">316</xref>,<xref rid="b317-ijmm-55-02-05475" ref-type="bibr">317</xref>). CR can also reduce primordial follicle activation and lead to increased ovarian Forkhead box O3 (Foxo3a) expression, activation of the SIRT1 signaling pathway and suppression of the mTOR signaling pathway, which may increase preservation of the ovarian primordial follicular reserve and delay menopause onset (<xref rid="b318-ijmm-55-02-05475" ref-type="bibr">318</xref>-<xref rid="b322-ijmm-55-02-05475" ref-type="bibr">322</xref>).</p>
<p>Obesity impairs ovarian function and obese patients are often encouraged to lose weight before conception to increase the chances of a successful pregnancy (<xref rid="b323-ijmm-55-02-05475" ref-type="bibr">323</xref>). However, the protective effect of CR on ovarian function lacks large-scale multicenter clinical trials and CR is a long-term dietary adjustment process that is difficult to maintain (<xref rid="b324-ijmm-55-02-05475" ref-type="bibr">324</xref>). Recently, there has been considerable interest in identifying drugs that can mimic the effects of CR. CR mimetics (CRMs) promote lifespan and sustain the health benefits of CR without requiring dietary restriction (<xref rid="b325-ijmm-55-02-05475" ref-type="bibr">325</xref>-<xref rid="b329-ijmm-55-02-05475" ref-type="bibr">329</xref>). CRMs have good clinical prospects because they do not require long-term dietary restriction and have better patient compliance.</p></sec>
<sec>
<title>Metformin</title>
<p>Metformin is a widely prescribed medication for management of T2DM (<xref rid="b330-ijmm-55-02-05475" ref-type="bibr">330</xref>) that reduces blood glucose by decreasing glucose absorption, enhancing peripheral glucose uptake and increasing insulin sensitivity (<xref rid="b331-ijmm-55-02-05475" ref-type="bibr">331</xref>). Metformin can decrease the risk of all-cause mortality and cardiovascular death in patients with T2DM (<xref rid="b332-ijmm-55-02-05475" ref-type="bibr">332</xref>). Moreover, metformin is also known for anti-aging (<xref rid="b333-ijmm-55-02-05475" ref-type="bibr">333</xref>) and anticancer (<xref rid="b334-ijmm-55-02-05475" ref-type="bibr">334</xref>) effects.</p>
<p>Metformin has been demonstrated to increase OR and protect ovarian function through regulatory mechanisms such as inhibiting the mTOR pathway, enhancing SIRT1 expression and decreasing oxidative stress damage (<xref rid="b335-ijmm-55-02-05475" ref-type="bibr">335</xref>,<xref rid="b336-ijmm-55-02-05475" ref-type="bibr">336</xref>). Furthermore, in aged mice, metformin decreases mitochondrial ROS via SIRT3-mediated acetylation of SOD2K68 in oocytes (<xref rid="b337-ijmm-55-02-05475" ref-type="bibr">337</xref>). For chemotherapy-induced ovarian damage, metformin may attenuate carboplatin-induced ovarian damage, potentially through its antioxidative effects (<xref rid="b338-ijmm-55-02-05475" ref-type="bibr">338</xref>). In addition, metformin decreases aging-related ovarian fibrosis. Metformin-responsive macrophage subpopulations appear in aged mice treated with metformin, which may decrease ovarian fibrosis by clearing fibroblasts that produce the senescence-associated secretory phenotype in aged ovaries (<xref rid="b339-ijmm-55-02-05475" ref-type="bibr">339</xref>). Therefore, metformin may serve as a promising drug to protect reproductive function.</p></sec>
<sec>
<title>Resveratrol</title>
<p>Resveratrol is a derivative of stilbene produced by &gt;70 species of plants (<xref rid="b340-ijmm-55-02-05475" ref-type="bibr">340</xref>) in response to external adverse stimuli. Resveratrol has multiple protective effects in mammal models of T2DM, metabolic syndrome, cancer and neurodegenerative and cardiovascular diseases (<xref rid="b341-ijmm-55-02-05475" ref-type="bibr">341</xref>). For example, resveratrol increases SIRT1 levels and improves insulin resistance in a HFD rat model, indicating resveratrol has the potential to combat insulin resistance and maintain glucose metabolism homeostasis (<xref rid="b342-ijmm-55-02-05475" ref-type="bibr">342</xref>). Furthermore, resveratrol induces a CR-like transcriptional signature in mice and mimics metabolic changes of human CR (<xref rid="b343-ijmm-55-02-05475" ref-type="bibr">343</xref>).</p>
<p>In humans, resveratrol can improve the follicular microenvironment to improve IVF outcomes (<xref rid="b344-ijmm-55-02-05475" ref-type="bibr">344</xref>). Intraperitoneal injection of resveratrol during superovulation improves oocyte quality in both young and old mice, and increased the number of oocytes retrieved from old mice (<xref rid="b345-ijmm-55-02-05475" ref-type="bibr">345</xref>). Resveratrol improves fertility of reproductive age female mice, which may be achieved by activating SIRT1 and increasing the expression of Foxo3a (<xref rid="b346-ijmm-55-02-05475" ref-type="bibr">346</xref>-<xref rid="b349-ijmm-55-02-05475" ref-type="bibr">349</xref>). <italic>In vitro</italic>, resveratrol increased first polar body emission rates and improves oocyte mitochondrial function (<xref rid="b350-ijmm-55-02-05475" ref-type="bibr">350</xref>-<xref rid="b352-ijmm-55-02-05475" ref-type="bibr">352</xref>). <italic>In vitro</italic>, resveratrol protects granulosa cells by activating autophagy to resist oxidative stress (<xref rid="b353-ijmm-55-02-05475" ref-type="bibr">353</xref>,<xref rid="b354-ijmm-55-02-05475" ref-type="bibr">354</xref>). In conclusion, resveratrol is beneficial to ovarian function and protects oocytes.</p></sec></sec>
<sec sec-type="conclusions">
<label>7.</label>
<title>Conclusion</title>
<p>Psychological stress is associated with poor health and impaired ovarian function (<xref rid="b2-ijmm-55-02-05475" ref-type="bibr">2</xref>,<xref rid="b4-ijmm-55-02-05475" ref-type="bibr">4</xref>). The present review summarizes the adverse effects of mental stress on ovarian function, which are associated with decreased IVF success rates and OR and the occurrence of POI, FHA and PCOS. Mental stress is involved in the pathogenesis of POI, FHA and POCS (<xref rid="b15-ijmm-55-02-05475" ref-type="bibr">15</xref>,<xref rid="b17-ijmm-55-02-05475" ref-type="bibr">17</xref>,<xref rid="b61-ijmm-55-02-05475" ref-type="bibr">61</xref>). However, more prospective studies are needed to explore the effect of psychological stress in initiation and progression of these diseases. Elevated levels of perceived stress, as well as SAA, could reduce OR (<xref rid="b13-ijmm-55-02-05475" ref-type="bibr">13</xref>,<xref rid="b56-ijmm-55-02-05475" ref-type="bibr">56</xref>,<xref rid="b58-ijmm-55-02-05475" ref-type="bibr">58</xref>). However, salivary cortisol, another biomarker used to measure psychological stress, has no association with fecundability (<xref rid="b181-ijmm-55-02-05475" ref-type="bibr">181</xref>). Cortisol exhibits a distinct circadian rhythm, with peak levels occurring in the morning and decreasing throughout the day; thus, it may be important to obtain multiple samples/day from a patient in order to investigate its effects on human health (<xref rid="b355-ijmm-55-02-05475" ref-type="bibr">355</xref>). Mental stress has an adverse effect on the outcome of IVF or ICSI, although some studies suggest that there is no association between them (<xref rid="b48-ijmm-55-02-05475" ref-type="bibr">48</xref>). To the best of our knowledge, no studies have reported that psychological stress has a positive effect on pregnancy outcomes. Anderheim <italic>et al</italic> (<xref rid="b48-ijmm-55-02-05475" ref-type="bibr">48</xref>) found no evidence that mental stress impairs IVF outcomes. However, Aimagambetova <italic>et al</italic> (<xref rid="b36-ijmm-55-02-05475" ref-type="bibr">36</xref>) found that higher STAI-S and STAI-T are negatively associated with clinical pregnancy outcomes. A potential reason for this discrepancy is that, when filling out psychological questionnaires, patients may not provide accurate assessments of distress. Different inclusion criteria, assessment tools for psychological status and study design may be additional reasons for the inconsistent results. The influence of stress on ART outcomes remains controversial, but, for infertile patients, psychological intervention can alleviate anxiety and depression, potentially resulting in notably improved pregnancy rates. Multi-center clinical trials with large sample sizes are necessary in future research. Under ideal conditions, prospective studies through puberty to perimenopause should regularly collect psychological questionnaires/scales, metabolic and ovarian function indexes to demonstrate causal mechanisms linking stress and ovarian dysfunction.</p>
<p>The present study summarizes animal models used to study the impact of mental stress on ovarian function, such as CUS, CRS and chronic cold stress, as well as evaluation methods. Mental stress affects the follicle and ovarian vascular function via the HPA, SAM and HPO axis and neurometabolic network, in which stress induces granulosa cell apoptosis by activating the MAPK, FAS and TNF-&#x003B1; pathway and increasing ROS, leading to overactivation of primordial follicles and decreasing the number of follicles by activating the PI3K/AKT pathway, as well as oocyte quality by downregulating BDNF, GDF9 and CCNB1, inhibiting the cAMP pathway, mitochondrial energy metabolism imbalance and inducing ROS accumulation. In addition, stress can lead to disorder of ovarian vascular structure and microenvironment by upregulating expression of ET-1 and ET-AR and downregulating expression of ET-BR, leading to a decline in ovarian function (<xref rid="f4-ijmm-55-02-05475" ref-type="fig">Fig. 4</xref>).</p>
<p>Multiple studies have examined the impact of chronic stress on the neuroendocrine system over extended periods (<xref rid="b156-ijmm-55-02-05475" ref-type="bibr">156</xref>,<xref rid="b356-ijmm-55-02-05475" ref-type="bibr">356</xref>). In the existing studies, traditional biological stress markers (cortisol and &#x003B1;-amylase) have been widely used to assess stress levels of patients and experimental animals (<xref rid="b10-ijmm-55-02-05475" ref-type="bibr">10</xref>,<xref rid="b58-ijmm-55-02-05475" ref-type="bibr">58</xref>,<xref rid="b85-ijmm-55-02-05475" ref-type="bibr">85</xref>,<xref rid="b181-ijmm-55-02-05475" ref-type="bibr">181</xref>). However, due to the differences in susceptibility between individuals and evaluation methods, previous results are inconsistent. Obayashi (<xref rid="b357-ijmm-55-02-05475" ref-type="bibr">357</xref>) summarized advantages and weaknesses of different salivary stress markers in the assessment of stress, such as cortisol, &#x003B1;-amylase, chromogranin A and IgA and proposed optimization of the method of saliva collection in order to improve the consistency of stress levels. As Shah <italic>et al</italic> (<xref rid="b358-ijmm-55-02-05475" ref-type="bibr">358</xref>) noted, when exploring the association between psychological stress and ovarian function, a comprehensive assessment of stress levels should include physiological markers (such as heart rate variability, blood pressure and cytokine levels) and biochemical indicators (cortisol, catecholamines, copeptin, SAA, IL-6 and C-reactive protein levels), as well as individual subjective assessments (self-reported stress levels, perceived stress scale or psychometric evaluations). Neuroendocrine changes caused by mental stress lead to systemic inflammation, leading to an increase in systemic inflammatory markers and health issues such as cardiovascular disease, cognitive dysfunction and accelerated aging (<xref rid="b359-ijmm-55-02-05475" ref-type="bibr">359</xref>). Therefore, inflammatory biomarkers such as TNF-&#x003B1;, HIF-1&#x003B1; and asymmetric dimethylarginine (ADMA) may serve as biological indicators to measure mental stress and its impact on physical health. Combinations of different markers and approaches such as wearable device-based stress detection (<xref rid="b360-ijmm-55-02-05475" ref-type="bibr">360</xref>) may establish effective stress markers. However, its effects need more clinical research for verification.</p>
<p>Existing studies focus on the direct role of psychological stress on the onset of POI, FHA and PCOS (<xref rid="b15-ijmm-55-02-05475" ref-type="bibr">15</xref>,<xref rid="b17-ijmm-55-02-05475" ref-type="bibr">17</xref>,<xref rid="b61-ijmm-55-02-05475" ref-type="bibr">61</xref>). For example, most studies have explored the impact of PCOS on the mental stress or psychological-associated disease (<xref rid="b361-ijmm-55-02-05475" ref-type="bibr">361</xref>-<xref rid="b363-ijmm-55-02-05475" ref-type="bibr">363</xref>). Large-scale prospective studies with lager samples are needed to support whether mental stress causes PCOS. Furthermore, the existing evidence that mental stress impairs ovarian function through metabolic disturbances is indirect (<xref rid="b207-ijmm-55-02-05475" ref-type="bibr">207</xref>,<xref rid="b236-ijmm-55-02-05475" ref-type="bibr">236</xref>). cohort studies and animal experiments are required to determine whether mental stress directly affects ovarian function through metabolism-related diseases.</p>
<p>It is key to elucidate the specific molecular mechanism underlying the effect of on the ovary and provide psychological intervention strategies for patients with ovarian dysfunction, especially for those in need of ART intervention. Hence, psychological interventions (CBT, MBSR and music therapy) may be beneficial to reduce adverse influence of stress and improve ovarian function and reproductive outcomes. The present review may provide an alternative intervention strategy for improvement of ovarian dysfunction and infertility.</p></sec></body>
<back>
<sec sec-type="data-availability">
<title>Availability of data and materials</title>
<p>Not applicable.</p></sec>
<sec sec-type="other">
<title>Authors' contributions</title>
<p>YL and FF conceived and designed the study. YH and FF wrote the manuscript and constructed figures and tables. WuW, WM, WeW, WR and SW revised the manuscript. All the authors have read and approved the final manuscript. Data authentication is not applicable.</p></sec>
<sec sec-type="other">
<title>Ethics approval and consent to participate</title>
<p>Not applicable.</p></sec>
<sec sec-type="other">
<title>Patient consent for publication</title>
<p>Not applicable.</p></sec>
<sec sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p></sec>
<glossary>
<title>Abbreviations</title>
<def-list>
<def-item>
<term>IVF</term>
<def>
<p><italic>in vitro</italic> fertilization</p></def></def-item>
<def-item>
<term>AFC</term>
<def>
<p>antral follicle count</p></def></def-item>
<def-item>
<term>AMH</term>
<def>
<p>anti-M&#x000FC;llerian hormone</p></def></def-item>
<def-item>
<term>POI</term>
<def>
<p>premature ovarian insufficiency</p></def></def-item>
<def-item>
<term>FHA</term>
<def>
<p>functional hypothalamic amenorrhea</p></def></def-item>
<def-item>
<term>PCOS</term>
<def>
<p>polycystic ovary syndrome</p></def></def-item>
<def-item>
<term>CUS</term>
<def>
<p>chronic unpredictable stress</p></def></def-item>
<def-item>
<term>CRS</term>
<def>
<p>chronic restraint stress</p></def></def-item>
<def-item>
<term>T2DM</term>
<def>
<p>type 2 diabetes mellitus</p></def></def-item>
<def-item>
<term>NEM</term>
<def>
<p>neuroendocrine-metabolic</p></def></def-item>
<def-item>
<term>HPO</term>
<def>
<p>hypothalamic-pituitary-ovarian</p></def></def-item>
<def-item>
<term>LH</term>
<def>
<p>luteinizing hormone</p></def></def-item>
<def-item>
<term>FSHR</term>
<def>
<p>follicle-stimulating hormone receptor</p></def></def-item>
<def-item>
<term>ART</term>
<def>
<p>assisted reproductive technology</p></def></def-item>
<def-item>
<term>BDI</term>
<def>
<p>Beck Depression Inventory</p></def></def-item>
<def-item>
<term>STAI-T</term>
<def>
<p>Spielberger Trait Anxiety Inventory</p></def></def-item>
<def-item>
<term>DOR</term>
<def>
<p>diminished ovarian reserve</p></def></def-item>
<def-item>
<term>SAA</term>
<def>
<p>salivary &#x003B1; amylase</p></def></def-item>
<def-item>
<term>FST</term>
<def>
<p>forced swimming test</p></def></def-item>
<def-item>
<term>SPT</term>
<def>
<p>sucrose preference test</p></def></def-item>
<def-item>
<term>GnRH</term>
<def>
<p>gonadotropin-releasing hormone</p></def></def-item>
<def-item>
<term>BDNF</term>
<def>
<p>brain-derived neurotrophic factor</p></def></def-item>
<def-item>
<term>GDF</term>
<def>
<p>growth differentiation factor</p></def></def-item>
<def-item>
<term>ROS</term>
<def>
<p>reactive oxygen species</p></def></def-item>
<def-item>
<term>SOD</term>
<def>
<p>superoxide dismutase</p></def></def-item>
<def-item>
<term>CRH-R</term>
<def>
<p>corticotropin-releasing hormone receptor</p></def></def-item>
<def-item>
<term>HPA</term>
<def>
<p>hypothalamic-pituitary-adrenal</p></def></def-item>
<def-item>
<term>GVBD</term>
<def>
<p>germinal vesicle breakdown</p></def></def-item>
<def-item>
<term>CCNB1</term>
<def>
<p>cyclin B1</p></def></def-item>
<def-item>
<term>SAM</term>
<def>
<p>sympathetic-adrenal-medullary</p></def></def-item>
<def-item>
<term>StAR</term>
<def>
<p>steroidogenic acute regulatory</p></def></def-item>
<def-item>
<term>ET-1</term>
<def>
<p>endothelin-1</p></def></def-item>
<def-item>
<term>TST</term>
<def>
<p>tail suspension test</p></def></def-item>
<def-item>
<term>OFT</term>
<def>
<p>open field test</p></def></def-item>
<def-item>
<term>LDB</term>
<def>
<p>light-dark box</p></def></def-item>
<def-item>
<term>EPM</term>
<def>
<p>elevated plus maze</p></def></def-item>
<def-item>
<term>PVN</term>
<def>
<p>paraventricular nucleus</p></def></def-item>
<def-item>
<term>AVP</term>
<def>
<p>arginine vasopressin</p></def></def-item>
<def-item>
<term>IGF</term>
<def>
<p>insulin-like growth factor</p></def></def-item>
<def-item>
<term>RFRP3</term>
<def>
<p>RFamide-related peptide-3</p></def></def-item>
<def-item>
<term>KISS</term>
<def>
<p>kisspeptin</p></def></def-item>
<def-item>
<term>AGE</term>
<def>
<p>advanced glycation end-product</p></def></def-item>
<def-item>
<term>BMI</term>
<def>
<p>body mass index</p></def></def-item>
<def-item>
<term>HFD</term>
<def>
<p>high-fat diet</p></def></def-item>
<def-item>
<term>SIRT1</term>
<def>
<p>sirtuin 1</p></def></def-item>
<def-item>
<term>POF</term>
<def>
<p>premature ovarian failure</p></def></def-item>
<def-item>
<term>CBT</term>
<def>
<p>cognitive behavioral therapy</p></def></def-item>
<def-item>
<term>AMD</term>
<def>
<p>adjusted mean difference</p></def></def-item>
<def-item>
<term>MBSR</term>
<def>
<p>mindfulness-based stress reduction</p></def></def-item>
<def-item>
<term>MEC</term>
<def>
<p>menopause education control</p></def></def-item>
<def-item>
<term>MRS</term>
<def>
<p>Menopause Rating Scale</p></def></def-item>
<def-item>
<term>CCRI</term>
<def>
<p>cognitive coping and relaxation intervention</p></def></def-item>
<def-item>
<term>CRM</term>
<def>
<p>caloric restriction mimetic</p></def></def-item></def-list></glossary>
<ack>
<title>Acknowledgements</title>
<p>Not applicable.</p></ack>
<ref-list>
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<floats-group>
<fig id="f1-ijmm-55-02-05475" position="float">
<label>Figure 1</label>
<caption>
<p>Association between elevated psychological stress and diminished ovarian function. Mental stress triggers the interaction between the nervous and the endocrine system, leading to metabolic disorder. These elements interact with each other, creating a NEM network that results in impaired ovarian function; feelings of shame caused by ovarian insufficiency further exacerbate the psychological burden, ultimately establishing a harmful loop of psychological stress and ovarian dysfunction. Figure generated by using <ext-link xlink:href="http://BioRender.com" ext-link-type="uri">BioRender.com</ext-link>. NEM, neuroendocrine-metabolic; HPA, hypothalamic-pituitary-adrenal; SAM, sympathetic-adrenal-medullary.</p></caption>
<graphic xlink:href="ijmm-55-02-05475-g00.tif"/></fig>
<fig id="f2-ijmm-55-02-05475" position="float">
<label>Figure 2</label>
<caption>
<p>Models used in stress-associated ovarian function studies and stress assessment methods. Chronic unpredictable stress and chronic restraint stress models are the most widely used. The cold stress model is primarily applied to examine sympathetic-adrenal-medullary activation effects on the ovary. Additional models, such as high housing density, scream and maternal separation models, are also used to analyze impact of stress on ovarian function. The appropriate modeling method is selected based on experimental requirements and conditions. Following stress modeling, animals displaying anxiety and depression characteristics are assessed using methods such as SUC preference, forced swimming, tail suspension, open field, light-dark box and elevated plus maze tests. The figure was created with <ext-link xlink:href="http://BioRender.com" ext-link-type="uri">BioRender.com</ext-link>. SUC, sucrose.</p></caption>
<graphic xlink:href="ijmm-55-02-05475-g01.tif"/></fig>
<fig id="f3-ijmm-55-02-05475" position="float">
<label>Figure 3</label>
<caption>
<p>Association between psychological stress, HPA, HPO and SAM axes and metabolic disorder in regulating ovarian function. Psychological stress leads to the activation of the HPA and SAM axes, while concurrently suppressing the HPO axes. In response to stress, activation of the paraventricular nucleus region stimulates the secretion of CRH and AVP into the pituitary portal system, stimulating the pituitary gland to release ACTH into the circulation, which triggers cortisol release from the adrenal gland. Simultaneously, the locus coeruleus is activated, resulting in a surge of systemic sympathetic nervous excitement along with increased release of epinephrine from the adrenal medulla. The activation of HPA and SAM axes disrupts neuroendocrine homeostasis, triggering a cascade of metabolic disorders such as glucose metabolism abnormality and obesity. This dysregulation, coupled with the suppression of the HPO axis, impairs ovarian function. Figure created with <ext-link xlink:href="http://BioRender.com" ext-link-type="uri">BioRender.com</ext-link>. HPO, hypothalamic-pituitary-ovarian; HPA, hypothalamic-pituitary-adrenal; SAM, sympathetic-adrenal-medullary; GnRH, gonadotropin-releasing hormone; FSH, follicle-stimulating hormone; LH, luteinizing hormone; E<sub>2</sub>, estradiol; P, Progesterone; CRH, corticotropin-releasing hormone; AVP, arginine vasopressin; CNS, central nervous system.</p></caption>
<graphic xlink:href="ijmm-55-02-05475-g02.tif"/></fig>
<fig id="f4-ijmm-55-02-05475" position="float">
<label>Figure 4</label>
<caption>
<p>Mechanisms of ovarian dysfunction caused by stress. Psychological stress affects ovarian function and inhibits the HPO axis by activating the HPA and SAM axes. This causes increased granulosa cell apoptosis, diminished oocyte quality and excessive activation of primordial follicles, culminating in decreased ovarian reserve. Meanwhile, psychological stress leads to disorder of the vascular endothelin system of the ovary, resulting in ovarian vasoconstriction and microcirculation disorder. Figure created with <ext-link xlink:href="http://BioRender.com" ext-link-type="uri">BioRender.com</ext-link>. HPA, hypothalamic-pituitary-adrenal; SAM, sympathetic-adrenal-medullary; HPO, hypothalamic-pituitary-ovarian; IDH, isocitrate dehydrogenase; FSHR, follicle-stimulating hormone; ROS, reactive oxygen species; BDNF, brain derived neurotrophic factor; GDF, growth differentiation factor; CCN, cyclin; ET-AR, ET-receptor types A.</p></caption>
<graphic xlink:href="ijmm-55-02-05475-g03.tif"/></fig>
<table-wrap id="tI-ijmm-55-02-05475" position="float">
<label>Table I</label>
<caption>
<p>Impact of psychological stress on ovarian function in population studies.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th colspan="5" valign="top" align="left">A, Assisted reproductive technology
<hr/></th></tr>
<tr>
<th valign="top" align="left">First author (year)</th>
<th valign="top" align="center">Subjects</th>
<th valign="top" align="center">Results</th>
<th valign="top" align="center">Limitations</th>
<th valign="top" align="center">(Refs.)</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Chai <italic>et al</italic>, 2023</td>
<td valign="top" align="left">110 infertile patients; 112 controls</td>
<td valign="top" align="left">No association between serum cortisol levels and IVF cycles (&#x003C4;=0.071, P&#x02265;0.05) and clinical pregnancy (&#x003C4;=&#x02212;0.047, P&#x02265;0.05).</td>
<td valign="top" align="left">Cortisol may be influenced by other factors</td>
<td valign="top" align="center">(<xref rid="b42-ijmm-55-02-05475" ref-type="bibr">42</xref>)</td></tr>
<tr>
<td valign="top" align="left">Mirzaasgari <italic>et al</italic>, 2022</td>
<td valign="top" align="left">154 infertile patients</td>
<td valign="top" align="left">No difference in ISE scale between non-pregnant patients and those with positive pregnancy tests</td>
<td valign="top" align="left">Large drop-off in subjects; low sample size</td>
<td valign="top" align="center">(<xref rid="b44-ijmm-55-02-05475" ref-type="bibr">44</xref>)</td></tr>
<tr>
<td valign="top" align="left">Bapayeva <italic>et al</italic>, 2021</td>
<td valign="top" align="left">142 infertile patients</td>
<td valign="top" align="left">Higher STAI-S and STAI-T are negatively associated with clinical pregnancy (RR=0.95, 95%CI, 0.91, 0.99, P&lt;0.05; RR=0.92, 95%CI, 0.86, 0.99, P&lt;0.05)</td>
<td valign="top" align="left">Low response rate; non-response bias</td>
<td valign="top" align="center">(<xref rid="b8-ijmm-55-02-05475" ref-type="bibr">8</xref>)</td></tr>
<tr>
<td valign="top" align="left">Peng <italic>et al</italic>, 2021</td>
<td valign="top" align="left">150 patients without clinical pregnancy after first IVF or ICSI; 300 controls</td>
<td valign="top" align="left">No difference between psychological distress and clinical pregnancy (anxiety, adjusted OR=1.00, 95%CI, 0.97, 1.03; depression, adjusted OR=0.98 95%CI, 0.95, 1.02; perceived stress, adjusted OR=0.98 95%CI, 0.95, 1.01)</td>
<td valign="top" align="left">Single time point of psychological assessment; small sample size</td>
<td valign="top" align="center">(<xref rid="b45-ijmm-55-02-05475" ref-type="bibr">45</xref>)</td></tr>
<tr>
<td valign="top" align="left">Sallem <italic>et al</italic>, 2021</td>
<td valign="top" align="left">79 patients undergoing IVF</td>
<td valign="top" align="left">BAI score is negatively correlated with embryo segmentation (r=&#x02212;0.24; P=0.05) and implantation rate (r=0.65; P=0.001).No correlation between serum cortisol levels and IVF outcome</td>
<td valign="top" align="left">No elimination of some confounding factors</td>
<td valign="top" align="center">(<xref rid="b10-ijmm-55-02-05475" ref-type="bibr">10</xref>)</td></tr>
<tr>
<td valign="top" align="left">Aimagambetova <italic>et al</italic>, 2020</td>
<td valign="top" align="left">304 infertile patients</td>
<td valign="top" align="left">Higher STAI-S and STAI-T are negatively associated with clinical pregnancy outcome (OR=0.94, 95%CI, 0.91, 0.98, P&lt;0.01; OR=0.95, 95%CI, 0.91, 0.99, P=0.02).</td>
<td valign="top" align="left">Non-response bias; small sample size</td>
<td valign="top" align="center">(<xref rid="b36-ijmm-55-02-05475" ref-type="bibr">36</xref>)</td></tr>
<tr>
<td valign="top" align="left">Park <italic>et al</italic>, 2019</td>
<td valign="top" align="left">143 infertile patients</td>
<td valign="top" align="left">No difference in clinical pregnancy between high or moderate and low stress (FOR=1.11, 95%CI, 0.58, 2.14; FOR=1.37, 95%CI, 0.71, 2.67)</td>
<td valign="top" align="left">Data of baseline chronic stress, life stressors or stress biomarkers was absent</td>
<td valign="top" align="center">(<xref rid="b46-ijmm-55-02-05475" ref-type="bibr">46</xref>)</td></tr>
<tr>
<td valign="top" align="left">Cesta <italic>et al</italic>, 2018</td>
<td valign="top" align="left">485 infertile patients</td>
<td valign="top" align="left">No difference in clinical pregnancy between lowest and highest categories of perceived stress score (OR=1.04, 95%CI, 0.58, 1.87)</td>
<td valign="top" align="left">Single time point of psychological assessment; other factors may influence cortisol</td>
<td valign="top" align="center">(<xref rid="b43-ijmm-55-02-05475" ref-type="bibr">43</xref>)</td></tr>
<tr>
<td valign="top" align="left">Xu <italic>et al</italic>, 2017</td>
<td valign="top" align="left">842 patients undergoing IVF</td>
<td valign="top" align="left">Fertilization rate decreases with higher SAS score (91.9%, SAS score, 25-44 vs. 90.4%, SAS score, 45-59 vs. 81.8%, SAS score 60-100&#x0005D;, P&lt;0.001)</td>
<td valign="top" align="left">Non-response bias; single time point of psychological assessment</td>
<td valign="top" align="center">(<xref rid="b9-ijmm-55-02-05475" ref-type="bibr">9</xref>)</td></tr>
<tr>
<td valign="top" align="left">Terzioglu <italic>et al</italic>, 2016</td>
<td valign="top" align="left">217 couples undergoing ICSI</td>
<td valign="top" align="left">Patients with positive pregnancy outcome had lower depression score (P&lt;0.05)</td>
<td valign="top" align="left">Small sample size</td>
<td valign="top" align="center">(<xref rid="b35-ijmm-55-02-05475" ref-type="bibr">35</xref>)</td></tr>
<tr>
<td valign="top" align="left">Lynch <italic>et al</italic>, 2014</td>
<td valign="top" align="left">501 couples</td>
<td valign="top" align="left">Patients with high SAA levels have a longer time to pregnancy (FOR=0.71, 95%CI, 0.51, 1.00, P&lt;0.05) and double the infertility risk (RR=2.07, 95%CI, 1.04, 4.11)</td>
<td valign="top" align="left">Single time point of psychological assessment; saliva sample collection</td>
<td valign="top" align="center">(<xref rid="b181-ijmm-55-02-05475" ref-type="bibr">181</xref>)</td></tr>
<tr>
<td valign="top" align="left">Butts <italic>et al</italic>, 2014</td>
<td valign="top" align="left">52 patients undergoing IVF</td>
<td valign="top" align="left">No association between urine cortisol and clinical pregnancy (&#x003B2;=&#x02212;0.18, 95%CI, -0.04, 0.02, P=0.48).</td>
<td valign="top" align="left">Small sample size; single time point of uterine sample collection</td>
<td valign="top" align="center">(<xref rid="b50-ijmm-55-02-05475" ref-type="bibr">50</xref>)</td></tr>
<tr>
<td valign="top" align="left">An <italic>et al</italic>, 2013</td>
<td valign="top" align="left">264 patients undergoing IVF or ICSI</td>
<td valign="top" align="left">STAI score is negatively associated with live birth rate (OR=0.855, 95%CI, 0.810, 1.006, P=0.03).</td>
<td valign="top" align="left">Response bias; small sample size</td>
<td valign="top" align="center">(<xref rid="b34-ijmm-55-02-05475" ref-type="bibr">34</xref>)</td></tr>
<tr>
<td valign="top" align="left">Turner <italic>et al</italic>, 2013</td>
<td valign="top" align="left">44 patients undergoing IVF</td>
<td valign="top" align="left">Patients with positive pregnancy outcome had lower STAI-S score (34.93 vs. 44.35, P=0.05), STAI-T 33.67 vs. 41.30, (P=0.03) and PSS score (11.53 vs. 16.20, P=0.03).</td>
<td valign="top" align="left">Response bias; small sample size</td>
<td valign="top" align="center">(<xref rid="b37-ijmm-55-02-05475" ref-type="bibr">37</xref>)</td></tr>
<tr>
<td valign="top" align="left">Quant <italic>et al</italic>, 2013</td>
<td valign="top" align="left">89 patients undergoing IVF and 77 partners</td>
<td valign="top" align="left">Partner composite psychological distress score was a predictor of fertilization rate (&#x003B2;=&#x02212;0.18, SE=0.09, P=0.049).</td>
<td valign="top" align="left">Single time point of psychological assessment</td>
<td valign="top" align="center">(<xref rid="b38-ijmm-55-02-05475" ref-type="bibr">38</xref>)</td></tr>
<tr>
<td valign="top" align="left">Pasch <italic>et al</italic>, 2012</td>
<td valign="top" align="left">202 patients undergoing IVF</td>
<td valign="top" align="left">STAI (39.96 vs. 41.41, P=0.43) and CES-D score (11.29 vs. 12.39, P=0.48) show no difference between patients with successful and unsuccessful outcomes</td>
<td valign="top" align="left">Data of psychotherapy treatments was absent; follow-up period was short</td>
<td valign="top" align="center">(<xref rid="b41-ijmm-55-02-05475" ref-type="bibr">41</xref>)</td></tr>
<tr>
<td valign="top" align="left">Lynch <italic>et al</italic>, 2012</td>
<td valign="top" align="left">339 patients trying to conceive</td>
<td valign="top" align="left">No association between baseline psychosocial and pregnancy rate</td>
<td valign="top" align="left">Response bias; short follow-up period</td>
<td valign="top" align="center">(<xref rid="b47-ijmm-55-02-05475" ref-type="bibr">47</xref>)</td></tr>
<tr>
<td valign="top" align="left">Li <italic>et al</italic>, 2011</td>
<td valign="top" align="left">107 infertile patients</td>
<td valign="top" align="left">Follicular noradrenaline levels are negatively correlated with embryo quality (r=&#x02212;0.62, P&lt;0.05) and not correlated with pregnancy rate</td>
<td valign="top" align="left">Small sample size; insufficient sample representativeness</td>
<td valign="top" align="center">(<xref rid="b180-ijmm-55-02-05475" ref-type="bibr">180</xref>)</td></tr>
<tr>
<td valign="top" align="left">Anderheim <italic>et al</italic>, 2005</td>
<td valign="top" align="left">166 patients undergoing IVF</td>
<td valign="top" align="left">No difference in psychological effects between patients with or without adverse pregnancy outcomes</td>
<td valign="top" align="left">Response bias</td>
<td valign="top" align="center">(<xref rid="b48-ijmm-55-02-05475" ref-type="bibr">48</xref>)</td></tr>
<tr>
<td valign="top" align="left">Klonoff-Cohen <italic>et al</italic>, 2001</td>
<td valign="top" align="left">151 patients with primary or secondary infertility</td>
<td valign="top" align="left">Each PANAS unit increase is linked to 2% fewer oocytes retrieved (log-coefficient, -0.019, 95%CI, -0.03, -0.01, P=0.04).</td>
<td valign="top" align="left">Small sample size</td>
<td valign="top" align="center">(<xref rid="b11-ijmm-55-02-05475" ref-type="bibr">11</xref>)</td></tr>
<tr>
<td valign="top" align="left">Csemiczky <italic>et al</italic>, 2000</td>
<td valign="top" align="left">22 infertile patients</td>
<td valign="top" align="left">Patients with negative IVF outcome had higher state anxiety level (P&lt;0.06).</td>
<td valign="top" align="left">Small sample size</td>
<td valign="top" align="center">(<xref rid="b39-ijmm-55-02-05475" ref-type="bibr">39</xref>)</td></tr>
<tr>
<td valign="top" align="left">Milad <italic>et al</italic>, 1998</td>
<td valign="top" align="left">40 patients undergoing IVF</td>
<td valign="top" align="left">No difference in STAI score (42.15 vs. 45.0) and cortisol levels (2.69 vs. 3.12) between patients with or without adverse pregnancy outcomes</td>
<td valign="top" align="left">High dropout rate</td>
<td valign="top" align="center">(<xref rid="b49-ijmm-55-02-05475" ref-type="bibr">49</xref>)</td></tr>
<tr>
<td colspan="5" align="left" valign="bottom">
<hr/></td></tr>
<tr>
<td colspan="5" valign="top" align="left">B, POI</td></tr>
<tr>
<td colspan="5" align="left" valign="bottom">
<hr/></td></tr>
<tr>
<td valign="top" align="left">Sun <italic>et al</italic>, 2022</td>
<td valign="top" align="left">43 patients newly diagnosed with POI</td>
<td valign="top" align="left">Patients with POI consistently experienced adverse life events associated with work, family stress and sleep issues</td>
<td valign="top" align="left">Small sample size; lack of psychological assessment</td>
<td valign="top" align="center">(<xref rid="b52-ijmm-55-02-05475" ref-type="bibr">52</xref>)</td></tr>
<tr>
<td valign="top" align="left">Allshouse <italic>et al</italic>, 2015</td>
<td valign="top" align="left">160 patients previously diagnosed with POI</td>
<td valign="top" align="left">Among patients with POI reporting a history of depression, 26% reported that depression occurred &gt;5 years before POI diagnosis and menopausal symptoms do not diminish over time in patients with POI</td>
<td valign="top" align="left">Certain confounding factors such as treatment of gonadotoxic drugs, treatment of antidepressants, financial status, smoking and alcohol abuse were not eliminated</td>
<td valign="top" align="center">(<xref rid="b15-ijmm-55-02-05475" ref-type="bibr">15</xref>)</td></tr>
<tr>
<td valign="top" align="left">Schmidt <italic>et al</italic>, 2011</td>
<td valign="top" align="left">174 patients with spontaneous 46, XX POI; 100 patients with Turner syndrome</td>
<td valign="top" align="left">Patients with POI have higher lifetime depression rates than patients with Turner syndrome and community-based samples from female subjects (P&lt;0.001)</td>
<td valign="top" align="left">Confounding factors such as such as treatment of gonadotoxic drugs, financial status, postgraduate alcohol abuse; recall bias</td>
<td valign="top" align="center">(<xref rid="b54-ijmm-55-02-05475" ref-type="bibr">54</xref>)</td></tr>
<tr>
<td colspan="5" align="left" valign="bottom">
<hr/></td></tr>
<tr>
<td colspan="5" valign="top" align="left">C, Diminished ovarian reserve</td></tr>
<tr>
<td colspan="5" align="left" valign="bottom">
<hr/></td></tr>
<tr>
<td valign="top" align="left">M&#x000ED;nguez-Alarc&#x000F3;n <italic>et al</italic>, 2023</td>
<td valign="top" align="left">520 patients seeking fertility care</td>
<td valign="top" align="left">Patients in the second (13.3, 95%CI, 12.7, 13.8) and third (13.5, 95%CI, 13.0, 14.1) tertiles of stress have lower AFC compared with patients in the lowest tertile (14.3, 95%CI, 13.8, 14.9, both P&lt;0.05)</td>
<td valign="top" align="left">Response bias; single time point of psychological assessment</td>
<td valign="top" align="center">(<xref rid="b13-ijmm-55-02-05475" ref-type="bibr">13</xref>)</td></tr>
<tr>
<td valign="top" align="left">Golenbock <italic>et al</italic>, 2020</td>
<td valign="top" align="left">332 patients with history of MDD; 644 controls</td>
<td valign="top" align="left">Depression is negatively associated with AMH levels in patients aged 36-40 years (adjusted PR=0.75, 95%CI, 0.52, 1.09) and nulliparous patients (adjusted PR=0.77, 95%CI, 0.59, 1.00)</td>
<td valign="top" align="left">Cross-sectional design; unrepresentative population sample</td>
<td valign="top" align="center">(<xref rid="b14-ijmm-55-02-05475" ref-type="bibr">14</xref>)</td></tr>
<tr>
<td valign="top" align="left">Dong <italic>et al</italic>, 2017</td>
<td valign="top" align="left">576 infertile patients</td>
<td valign="top" align="left">SAA is negatively associated with AMH levels (r=&#x02212;0.336, P&lt;0.0001; adjusted for age, r=&#x02212;0.336, P&lt;0.0001)</td>
<td valign="top" align="left">Only one biomarker for stress assessment</td>
<td valign="top" align="center">(<xref rid="b58-ijmm-55-02-05475" ref-type="bibr">58</xref>)</td></tr>
<tr>
<td valign="top" align="left">Bleil <italic>et al</italic>, 2012</td>
<td valign="top" align="left">979 patients aged 25-45 years</td>
<td valign="top" align="left">Higher stress levels are associated with higher AFC (&#x003B2;=0.545, P=0.005) and accelerated follicle loss</td>
<td valign="top" align="left">Single time point of AFC assessment</td>
<td valign="top" align="center">(<xref rid="b56-ijmm-55-02-05475" ref-type="bibr">56</xref>)</td></tr>
<tr>
<td valign="top" align="left">Bleil <italic>et al</italic>, 2012</td>
<td valign="top" align="left">683 patients aged 25-45 years</td>
<td valign="top" align="left">Psychological stress accelerates AFC decline in patients with low (&#x003B2;=&#x02212;0.070, P=0.021) but not high positive affect (&#x003B2;=0.018, P=0.54)</td>
<td valign="top" align="left">Response bias; unrepresentative population sample</td>
<td valign="top" align="center">(<xref rid="b57-ijmm-55-02-05475" ref-type="bibr">57</xref>)</td></tr>
<tr>
<td colspan="5" align="left" valign="bottom">
<hr/></td></tr>
<tr>
<td colspan="5" valign="top" align="left">D, FHA</td></tr>
<tr>
<td colspan="5" align="left" valign="bottom">
<hr/></td></tr>
<tr>
<td valign="top" align="left">Dundon <italic>et al</italic>, 2010</td>
<td valign="top" align="left">41 patients with FHA; 39 healthy controls</td>
<td valign="top" align="left">Patients with FHA have higher depression and anxiety scores in Zung Scale (both P&lt;0.001)</td>
<td valign="top" align="left">Cross-sectional design; response bias</td>
<td valign="top" align="center">(<xref rid="b63-ijmm-55-02-05475" ref-type="bibr">63</xref>)</td></tr>
<tr>
<td valign="top" align="left">Lawson <italic>et al</italic>, 2009</td>
<td valign="top" align="left">13 patients with FHA; 18 amenorrheic patients with anorexia nervosa; 21 healthy controls</td>
<td valign="top" align="left">Patients with FHA have higher cortisol levels (9.4 vs. 7.6, P=0.04) and HAMD (6.6 vs. 1.1, P&lt;0.001) and HAMA score (7.5 vs. 1.5, P&lt;0.001) compared with healthy controls</td>
<td valign="top" align="left">Cross-sectional design; response bias</td>
<td valign="top" align="center">(<xref rid="b16-ijmm-55-02-05475" ref-type="bibr">16</xref>)</td></tr>
<tr>
<td valign="top" align="left">Bomba <italic>et al</italic>, 2007</td>
<td valign="top" align="left">20 patients with FHA; 20 healthy controls</td>
<td valign="top" align="left">Both normogonadotropic and hypogonadotropic patients with FHA have higher cortisol levels (16.0 vs. 10.1 and 15.8 vs. 10.1, respectively; both P&lt;0.01)</td>
<td valign="top" align="left">Small sample size</td>
<td valign="top" align="center">(<xref rid="b61-ijmm-55-02-05475" ref-type="bibr">61</xref>)</td></tr>
<tr>
<td valign="top" align="left">Marcus <italic>et al</italic>, 2001</td>
<td valign="top" align="left">28 patients with FHA; 24 patients with organic amenorrhea; 25 healthy controls</td>
<td valign="top" align="left">Patients with FHA have higher BDI (7.9 vs. 2.9, P=0.02) and HAMD score (6.2 vs. 2.4, P=0.02)</td>
<td valign="top" align="left">Response bias</td>
<td valign="top" align="center">(<xref rid="b62-ijmm-55-02-05475" ref-type="bibr">62</xref>)</td></tr>
<tr>
<td valign="top" align="left">Berga <italic>et al</italic>, 1997</td>
<td valign="top" align="left">19 patients with FHA; 19 patients with other anovulation causes; 19 healthy controls</td>
<td valign="top" align="left">Patients with FHA have higher cortisol levels than those with other anovulation causes (80.1 vs. 67.7, P&lt;0.05) or healthy controls (80.1 vs. 67.1, P&lt;0.05).</td>
<td valign="top" align="left">Cortisol may be influenced by other factors</td>
<td valign="top" align="center">(<xref rid="b168-ijmm-55-02-05475" ref-type="bibr">168</xref>)</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-ijmm-55-02-05475">
<p>IVF, <italic>in vitro</italic> fertilization; ISE, Infertility Self-Efficacy; STAI, State-trait Anxiety Inventory; RR, relative risk; PR, prevalence ratio; CI, confidence interval; ICSI, intracytoplasmic sperm injection; OR, odds ratio; SAS, Self-Rating Anxiety Scale; SAA, salivary &#x003B1; amylase; PSS, Perceived Stress Scale; CES-D, Center for Epidemiologic Studies Depression; PANAS, Positive and Negative Affective Scale; POI, premature ovarian insufficiency; AMH, anti-M&#x000FC;llerian hormone; AFC, antral follicle count; MDD, major depressive disorder; FHA, functional hypothalamic amenorrhea; HAMD, Hamilton Depression Scale; HAMA, Hamilton Anxiety Scale; BDI, Beck Depression Inventory; BAI, Beck Anxiety Inventory.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tII-ijmm-55-02-05475" position="float">
<label>Table II</label>
<caption>
<p>Summary of animal models for ovarian dysfunction induced by psychological stress.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Animal</th>
<th valign="top" align="center">Stress</th>
<th valign="top" align="center">Behavior test</th>
<th valign="top" align="center">Stress biomarker</th>
<th valign="top" align="center">Effects on ovary</th>
<th valign="top" align="center">(Refs.)</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">C57BL/6 or BALB/c mice</td>
<td valign="top" align="left">8 week CUS</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">Increased serum corticosterone levels</td>
<td valign="top" align="left">Decreased follicle number; irregular estrous cycle; increased serum FSH levels; decreased estradiol, progesterone and AMH levels</td>
<td valign="top" align="center">(<xref rid="b19-ijmm-55-02-05475" ref-type="bibr">19</xref>,<xref rid="b85-ijmm-55-02-05475" ref-type="bibr">85</xref>)</td></tr>
<tr>
<td valign="top" align="left">C57BL/6 mice</td>
<td valign="top" align="left">2-8 month CUS</td>
<td valign="top" align="left">SPT, TST</td>
<td valign="top" align="left">Increased serum corticosterone levels</td>
<td valign="top" align="left">Decreased follicle number; increased follicular atresia and ovarian fibrosis; irregular estrous cycle; decreased estradiol and AMH levels and litter size</td>
<td valign="top" align="center">(<xref rid="b77-ijmm-55-02-05475" ref-type="bibr">77</xref>)</td></tr>
<tr>
<td valign="top" align="left">Kunming mice</td>
<td valign="top" align="left">3-4 week CUS</td>
<td valign="top" align="left">OFT</td>
<td valign="top" align="left">Increased serum corticosterone and CRH levels</td>
<td valign="top" align="left">Decreased number of retrieved oocytes and oocyte quality; increased follicular atresia</td>
<td valign="top" align="center">(<xref rid="b83-ijmm-55-02-05475" ref-type="bibr">83</xref>,<xref rid="b88-ijmm-55-02-05475" ref-type="bibr">88</xref>)</td></tr>
<tr>
<td valign="top" align="left">ICR mice</td>
<td valign="top" align="left">6 week CUS</td>
<td valign="top" align="left">SPT, OFT</td>
<td valign="top" align="left">Decreased serum corticosterone and CRH levels</td>
<td valign="top" align="left">Decreased oocyte fertilization, cleavage and blastocyst formation rate</td>
<td valign="top" align="center">(<xref rid="b81-ijmm-55-02-05475" ref-type="bibr">81</xref>)</td></tr>
<tr>
<td valign="top" align="left">Swiss mice</td>
<td valign="top" align="left">5 or 30 day CUS</td>
<td valign="top" align="left">OFT, SPT, FST, EPM</td>
<td valign="top" align="left">Increased serum corticosterone levels</td>
<td valign="top" align="left">Inhibition of follicular development; increased follicular atresia rate; irregular estrous cycle</td>
<td valign="top" align="center">(<xref rid="b82-ijmm-55-02-05475" ref-type="bibr">82</xref>,<xref rid="b84-ijmm-55-02-05475" ref-type="bibr">84</xref>,<xref rid="b87-ijmm-55-02-05475" ref-type="bibr">87</xref>)</td></tr>
<tr>
<td valign="top" align="left">Sprague-Dawley rats</td>
<td valign="top" align="left">4-5 week CUS</td>
<td valign="top" align="left">SPT, OFT</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">Irregular estrous cycle; increased ovarian fibrosis, follicular atresia and FSH levels; decreased estradiol and AMH levels</td>
<td valign="top" align="center">(<xref rid="b76-ijmm-55-02-05475" ref-type="bibr">76</xref>,<xref rid="b79-ijmm-55-02-05475" ref-type="bibr">79</xref>,<xref rid="b80-ijmm-55-02-05475" ref-type="bibr">80</xref>)</td></tr>
<tr>
<td valign="top" align="left">C57BL/6, BALB/C or Kunming mice</td>
<td valign="top" align="left">4-8 week CRS</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">Increased serum corticosterone and CRH levels</td>
<td valign="top" align="left">Decreased oocyte quality; increased follicular atresia rate; irregular estrous cycle</td>
<td valign="top" align="center">(<xref rid="b20-ijmm-55-02-05475" ref-type="bibr">20</xref>,<xref rid="b21-ijmm-55-02-05475" ref-type="bibr">21</xref>,<xref rid="b93-ijmm-55-02-05475" ref-type="bibr">93</xref>,<xref rid="b98-ijmm-55-02-05475" ref-type="bibr">98</xref>,<xref rid="b104-ijmm-55-02-05475" ref-type="bibr">104</xref>)</td></tr>
<tr>
<td valign="top" align="left">Sprague-Dawley rats</td>
<td valign="top" align="left">5 day CRS</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">Decreased progesterone levels; increased fetal resorption</td>
<td valign="top" align="center">(<xref rid="b99-ijmm-55-02-05475" ref-type="bibr">99</xref>)</td></tr>
<tr>
<td valign="top" align="left">Kunming mice</td>
<td valign="top" align="left">24 or 48 h CRS</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">Increased serum corticosterone and CRH levels</td>
<td valign="top" align="left">Decreased oocyte quality; impaired spindle assembly</td>
<td valign="top" align="center">(<xref rid="b97-ijmm-55-02-05475" ref-type="bibr">97</xref>,<xref rid="b100-ijmm-55-02-05475" ref-type="bibr">100</xref>,<xref rid="b101-ijmm-55-02-05475" ref-type="bibr">101</xref>,<xref rid="b103-ijmm-55-02-05475" ref-type="bibr">103</xref>,<xref rid="b105-ijmm-55-02-05475" ref-type="bibr">105</xref>)</td></tr>
<tr>
<td valign="top" align="left">Sprague-Dawley or Wistar rats</td>
<td valign="top" align="left">4-12 weeks cold stress</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">Increased ovarian NE concentration and serum corticosterone levels</td>
<td valign="top" align="left">Decreased number of follicles, ovulation and oocyte maturation rate; irregular estrous cycle</td>
<td valign="top" align="center">(<xref rid="b106-ijmm-55-02-05475" ref-type="bibr">106</xref>,<xref rid="b107-ijmm-55-02-05475" ref-type="bibr">107</xref>,<xref rid="b111-ijmm-55-02-05475" ref-type="bibr">111</xref>,<xref rid="b112-ijmm-55-02-05475" ref-type="bibr">112</xref>,<xref rid="b114-ijmm-55-02-05475" ref-type="bibr">114</xref>,<xref rid="b118-ijmm-55-02-05475" ref-type="bibr">118</xref>)</td></tr>
<tr>
<td valign="top" align="left">Sprague-Dawley or CIIZ-V rats</td>
<td valign="top" align="left">3-8 week cold stress</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">Unchanged estrous cycle and ovarian tissue structure</td>
<td valign="top" align="center">(<xref rid="b117-ijmm-55-02-05475" ref-type="bibr">117</xref>,<xref rid="b119-ijmm-55-02-05475" ref-type="bibr">119</xref>)</td></tr>
<tr>
<td valign="top" align="left">C57BL/6 mice</td>
<td valign="top" align="left">10 week cold stress</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">Increased serum corticosterone levels</td>
<td valign="top" align="left">Increased number of atretic follicles; decreased serum AMH levels</td>
<td valign="top" align="center">(<xref rid="b120-ijmm-55-02-05475" ref-type="bibr">120</xref>)</td></tr>
<tr>
<td valign="top" align="left">Sprague-Dawley rats</td>
<td valign="top" align="left">3 week scream sound exposure</td>
<td valign="top" align="left">SPT, FST</td>
<td valign="top" align="left">Increased serum corticosterone levels</td>
<td valign="top" align="left">Decreased AMH and estradiol levels and litter size; increased follicles loss and granulosa cell apoptosis</td>
<td valign="top" align="center">(<xref rid="b121-ijmm-55-02-05475" ref-type="bibr">121</xref>)</td></tr>
<tr>
<td valign="top" align="left">NMRI mice</td>
<td valign="top" align="left">14 day maternal separation stress</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">Impaired follicle development; decreased oocyte maturation rate</td>
<td valign="top" align="center">(<xref rid="b122-ijmm-55-02-05475" ref-type="bibr">122</xref>)</td></tr>
<tr>
<td valign="top" align="left">Kunming mice</td>
<td valign="top" align="left">24 h predatory stress</td>
<td valign="top" align="left">EPM</td>
<td valign="top" align="left">Increased serum corticosterone levels</td>
<td valign="top" align="left">Decreased oocyte quality and embryo development</td>
<td valign="top" align="center">(<xref rid="b126-ijmm-55-02-05475" ref-type="bibr">126</xref>)</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn2-ijmm-55-02-05475">
<p>CUS, chronic unpredictable stress; FSH, follicle-stimulating hormone; AMH, anti-M&#x000FC;llerian hormone; SPT, sucrose preference test; OFT, open field test; TST, tail suspension test; CRH, corticotropin-releasing hormone; FST, forced swimming test; CRS, chronic restraint stress; NE, norepinephrine; EPM, elevated plus maze.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tIII-ijmm-55-02-05475" position="float">
<label>Table III</label>
<caption>
<p>Effect of stress on ovary.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Cell type</th>
<th valign="top" align="center">Type of stress</th>
<th valign="top" align="center">Test subject</th>
<th valign="top" align="center">Mediators</th>
<th valign="top" align="center">Impact</th>
<th valign="top" align="center">(Refs.)</th></tr></thead>
<tbody>
<tr>
<td rowspan="4" valign="top" align="left">Oocyte</td>
<td valign="top" align="left">CUS</td>
<td valign="top" align="left">Mice</td>
<td valign="top" align="left">HPA axis</td>
<td valign="top" align="left">Increased follicle atresia with suppressed GDF9 expression</td>
<td valign="top" align="center">(<xref rid="b84-ijmm-55-02-05475" ref-type="bibr">84</xref>)</td></tr>
<tr>
<td valign="top" align="left">CRS</td>
<td valign="top" align="left">Mice</td>
<td valign="top" align="left">HPA axis</td>
<td valign="top" align="left">Increased abnormal bipolar spindle rates; reduced the expression of CCNB1; increased meiotic arrest failure of oocytes by inhibition of the cAMP pathway; overactivation of primordial follicles due to activation of the PI3K/AKT pathway</td>
<td valign="top" align="center">(<xref rid="b20-ijmm-55-02-05475" ref-type="bibr">20</xref>,<xref rid="b21-ijmm-55-02-05475" ref-type="bibr">21</xref>,<xref rid="b93-ijmm-55-02-05475" ref-type="bibr">93</xref>)</td></tr>
<tr>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">Rats</td>
<td valign="top" align="left">NE</td>
<td valign="top" align="left">Decreased ovarian sympathetic activity decreases KISS1 levels and increases FSHR expression and follicle growth</td>
<td valign="top" align="center">(<xref rid="b177-ijmm-55-02-05475" ref-type="bibr">177</xref>)</td></tr>
<tr>
<td valign="top" align="left">Injection of cortisol</td>
<td valign="top" align="left">Mice</td>
<td valign="top" align="left">Cortisol</td>
<td valign="top" align="left">Impaired oocyte development and mitochondrial membrane potential</td>
<td valign="top" align="center">(<xref rid="b128-ijmm-55-02-05475" ref-type="bibr">128</xref>,<xref rid="b161-ijmm-55-02-05475" ref-type="bibr">161</xref>)</td></tr>
<tr>
<td rowspan="5" valign="top" align="left">Granulosa</td>
<td valign="top" align="left">CUS</td>
<td valign="top" align="left">Mice</td>
<td valign="top" align="left">HPA axis</td>
<td valign="top" align="left">Increased apoptosis due to the ROS accumulation and MAPK pathway activation</td>
<td valign="top" align="center">(<xref rid="b85-ijmm-55-02-05475" ref-type="bibr">85</xref>)</td></tr>
<tr>
<td valign="top" align="left">CRS</td>
<td valign="top" align="left">Mice</td>
<td valign="top" align="left">HPA axis</td>
<td valign="top" align="left">Increased apoptosis via activating the Fas/FasL and TNF&#x003B1; system</td>
<td valign="top" align="center">(<xref rid="b97-ijmm-55-02-05475" ref-type="bibr">97</xref>,<xref rid="b103-ijmm-55-02-05475" ref-type="bibr">103</xref>))</td></tr>
<tr>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">Humans</td>
<td valign="top" align="left">NE</td>
<td valign="top" align="left">Induced generation of ROS in granulosa cells</td>
<td valign="top" align="center">(<xref rid="b178-ijmm-55-02-05475" ref-type="bibr">178</xref>)</td></tr>
<tr>
<td valign="top" align="left">Injection of cortisol</td>
<td valign="top" align="left">Mice</td>
<td valign="top" align="left">Cortisol</td>
<td valign="top" align="left">Decreased expression of IGF1 and BDNFl increased apoptosis</td>
<td valign="top" align="center">(<xref rid="b128-ijmm-55-02-05475" ref-type="bibr">128</xref>,<xref rid="b161-ijmm-55-02-05475" ref-type="bibr">161</xref>)</td></tr>
<tr>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">Rats</td>
<td valign="top" align="left">NE</td>
<td valign="top" align="left">Activation of TGF&#x003B2;-SMAD7 pathway and apoptosis</td>
<td valign="top" align="center">(<xref rid="b179-ijmm-55-02-05475" ref-type="bibr">179</xref>)</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn3-ijmm-55-02-05475">
<p>CUS, chronic unpredictable stress; HPA, hypothalamic-pituitary-adrenal; GDF9, growth differentiation factor 9; CRS, chronic restraint stress; CCNB1, cyclin B1; cAMP, cyclic AMP; KISS, kisspeptin; FSHR, follicle-stimulating hormone receptor; ROS, reactive oxygen species; NE, norepinephrine; IGF1, insulin-like growth factor 1; BDNF, brain-derived neurotrophic factor; TGF&#x003B2;, transforming growth factor &#x003B2;; ET-AR, endothelin-receptor type A.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tIV-ijmm-55-02-05475" position="float">
<label>Table IV</label>
<caption>
<p>Effect of metabolic disorder on the ovary.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">First author (year)</th>
<th valign="top" align="center">Subjects</th>
<th valign="top" align="center">Effect on ovarian function</th>
<th valign="top" align="center">Limitations</th>
<th valign="top" align="center">(Refs.)</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Qin <italic>et al</italic>, 2023</td>
<td valign="top" align="left">265 infertile patients</td>
<td valign="top" align="left">T2DM decreases clinical pregnancy rate (adjusted OR, 0.458, 95%CI, 0.235, 0.891, P=0.022) and live birth rate (adjusted OR, 0.227, 95%CI, 0.101, 0.513, P&lt;0.001)</td>
<td valign="top" align="left">Incomplete medical records; lack of detailed population characteristics</td>
<td valign="top" align="center">(<xref rid="b207-ijmm-55-02-05475" ref-type="bibr">207</xref>)</td></tr>
<tr>
<td valign="top" align="left">Sekhar <italic>et al</italic>, 2015</td>
<td valign="top" align="left">600 patients (300 with T2DM and 300 controls)</td>
<td valign="top" align="left">Patients with T2DM have earlier menopause age (44.65 vs. 48.2 years, P&lt;0.01)</td>
<td valign="top" align="left">Assessment of menopause age susceptible to recall bias</td>
<td valign="top" align="center">(<xref rid="b206-ijmm-55-02-05475" ref-type="bibr">206</xref>)</td></tr>
<tr>
<td valign="top" align="left">Khalil <italic>et al</italic>, 2011</td>
<td valign="top" align="left">2,171 patients (117 with and 2054 without diabetes mellitus)</td>
<td valign="top" align="left">Patients with diabetes have earlier menopause age (48.9 vs. 51.7 years, P=0.005)</td>
<td valign="top" align="left">No differentiation between T1DM and T2DM</td>
<td valign="top" align="center">(<xref rid="b205-ijmm-55-02-05475" ref-type="bibr">205</xref>)</td></tr>
<tr>
<td valign="top" align="left">Bernardi <italic>et al</italic>, 2017</td>
<td valign="top" align="left">1,654 female subjects</td>
<td valign="top" align="left">BMI was negatively associated with AMH (&#x003B2;=&#x02212;0.015, 95%CI, &#x02212;0.021, &#x02212;0.009, P&lt;0.0001)</td>
<td valign="top" align="left">Recall bias; association between obesity and AMH lacks generalizability to other racial/ethnic groups</td>
<td valign="top" align="center">(<xref rid="b225-ijmm-55-02-05475" ref-type="bibr">225</xref>)</td></tr>
<tr>
<td valign="top" align="left">Machtinger <italic>et al</italic>, 2012</td>
<td valign="top" align="left">Oocytes from 276 patients (105 from severely obese and 171 from normal BMI patients)</td>
<td valign="top" align="left">Oocytes from severely obese patients have higher incidence of double spindles (58.9 vs. 35.1%, P=0.003) and prevalence of disarranged spindles (28.6 vs. 8.6%, P=0.04)</td>
<td valign="top" align="left">Oocytes had been discarded and failed to fertilize, which was unclear if the results are generalizable to fertilized oocytes from the same cohort</td>
<td valign="top" align="center">(<xref rid="b236-ijmm-55-02-05475" ref-type="bibr">236</xref>)</td></tr>
<tr>
<td valign="top" align="left">Freeman <italic>et al</italic>, 2007</td>
<td valign="top" align="left">122 female subjects</td>
<td valign="top" align="left">Obese patients have lower AMH levels (geometric mean, 0.016 vs. 0.046; geometric mean ratio, 0.35, 95%CI, 0.13, 0.92, P=0.034)</td>
<td valign="top" align="left">AMH of postmenopausal patients was below assay threshold</td>
<td valign="top" align="center">(<xref rid="b227-ijmm-55-02-05475" ref-type="bibr">227</xref>)</td></tr>
<tr>
<td valign="top" align="left">Douchi <italic>et al</italic>, 2002</td>
<td valign="top" align="left">83 female patients with obesity</td>
<td valign="top" align="left">Patients with menstrual disorder have higher trunk-to-leg fat ratio (1.48 vs. 11.25, P&lt;0.01)</td>
<td valign="top" align="left">Lack of control group of non-obese patients</td>
<td valign="top" align="center">(<xref rid="b229-ijmm-55-02-05475" ref-type="bibr">229</xref>)</td></tr>
<tr>
<td valign="top" align="left">Stock <italic>et al</italic>, 2019</td>
<td valign="top" align="left">80,840 female subjects</td>
<td valign="top" align="left">Subjects working rotating night shifts have an increased risk of earlier menopause (multivariable-adjusted HR, 1.09, 95%CI, 1.02, 1.16)</td>
<td valign="top" align="left">Work schedule information was not detailed</td>
<td valign="top" align="center">(<xref rid="b245-ijmm-55-02-05475" ref-type="bibr">245</xref>)</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn4-ijmm-55-02-05475">
<p>T2DM, type 2 diabetes mellitus; AMH, anti-M&#x000FC;llerian hormone; BMI, body mass index; CI, confidence interval; HR, hazard ratio.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
