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<?release-delay 0|0?>
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">ETM</journal-id>
<journal-title-group>
<journal-title>Experimental and Therapeutic Medicine</journal-title>
</journal-title-group>
<issn pub-type="ppub">1792-0981</issn>
<issn pub-type="epub">1792-1015</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/etm.2018.6399</article-id>
<article-id pub-id-type="publisher-id">ETM-0-0-6399</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Impact of weight cycling on CTRP3 expression, adipose tissue inflammation and insulin sensitivity in C57BL/6J mice</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Li</surname><given-names>Xin</given-names></name>
<xref rid="af1-etm-0-0-6399" ref-type="aff">1</xref>
<xref rid="c1-etm-0-0-6399" ref-type="corresp"/></contrib>
<contrib contrib-type="author"><name><surname>Jiang</surname><given-names>Li</given-names></name>
<xref rid="af2-etm-0-0-6399" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Yang</surname><given-names>Miao</given-names></name>
<xref rid="af1-etm-0-0-6399" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Wu</surname><given-names>Yu-Wen</given-names></name>
<xref rid="af1-etm-0-0-6399" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Sun</surname><given-names>Jia-Zhong</given-names></name>
<xref rid="af1-etm-0-0-6399" ref-type="aff">1</xref></contrib>
</contrib-group>
<aff id="af1-etm-0-0-6399"><label>1</label>Department of Endocrinology, Zhongnan Hospital, Wuhan University, Wuhan, Hubei 430071, P.R. China</aff>
<aff id="af2-etm-0-0-6399"><label>2</label>Department of Internal Medicine, Zhongnan Hospital, Wuhan University, Wuhan, Hubei 430071, P.R. China</aff>
<author-notes>
<corresp id="c1-etm-0-0-6399"><italic>Correspondence to</italic>: Dr Xin Li, Department of Endocrinology, Zhongnan Hospital, Wuhan University, 169 Donghu Road, Wuhan, Hubei 430071, P.R. China, E-mail: <email>wdy2003win@163.com</email></corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>09</month>
<year>2018</year></pub-date>
<pub-date pub-type="epub">
<day>04</day>
<month>07</month>
<year>2018</year></pub-date>
<volume>16</volume>
<issue>3</issue>
<fpage>2052</fpage>
<lpage>2059</lpage>
<history>
<date date-type="received"><day>29</day><month>06</month><year>2017</year></date>
<date date-type="accepted"><day>11</day><month>05</month><year>2018</year></date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2018, Spandidos Publications</copyright-statement>
<copyright-year>2018</copyright-year>
</permissions>
<abstract>
<p>Impacts of weight cycling on C1q/tumor necrosis factor (TNF)-related protein-3 (CTRP3) expression, adipose tissue inflammation and insulin sensitivity in C57BL/6J mice were evaluated in the current study. A total of 30 male C57Bl/6J mice were divided randomly into three groups; normal control (n=10), high-fat diet (OB, n=10) and weight cycling (WC, n=10), which were fed with high-fat diet in the first and last 8 weeks and regular chow in between. Systemic glucose metabolic status and insulin sensitivity were detected by intraperitoneal glucose tolerance test and hyperinsulinemic-euglycemic clamp, respectively. Blood levels of interleukin (IL)-6 and TNF-&#x03B1; were determined using ELISA. Relative CTRP3, IL-6, TNF-&#x03B1; and glucose transporter (GLUT)4 mRNA expression in adipose tissue was detected using reverse transcription-quantitative polymerase chain reaction assays. Relative CTRP3, phosphatidylinositide 3-kinases (PI3K) and protein kinase B (PKB; Ser473) protein expression were detected by western blot analysis. Area under the curve of glucose and glucose infusion rate of the WC group were significantly increased compared with the OB group (P&#x003C;0.01). CTRP3 mRNA and protein levels of the WC group were significantly decreased by 20.3 and 23.1&#x0025;, respectively, compared with the OB group (P&#x003C;0.01). IL-6 and TNF-&#x03B1; protein plasma levels and gene expression in adipose tissue of the WC group were significantly increased compared with the OB group (P&#x003C;0.01). Expression and phosphorylation of insulin signaling molecules PI3K and PKB (Ser473), respectively and GLUT4 gene expression in adipose tissue of the WC group were significantly decreased compared with the OB group (P&#x003C;0.01). In conclusion, weight cycling impaired glucose metabolism and insulin sensitivity by decreasing CTRP3, PI3K, phosphorylated-PKB (Ser473) and GLUT4 expression, and increasing IL-6 and TNF-&#x03B1; levels.</p>
</abstract>
<kwd-group>
<kwd>weight cycling</kwd>
<kwd>C1q/tumor necrosis factor-related protein-3</kwd>
<kwd>inflammation</kwd>
<kwd>insulin resistance</kwd>
<kwd>insulin signaling</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Prevalence of overweight and obesity has rapidly increased in recent decades and is associated with increased risk of chronic diseases, including insulin resistance (IR), type 2 diabetes mellitus (T2DM) and cardiovascular disease (CAD) (<xref rid="b1-etm-0-0-6399" ref-type="bibr">1</xref>). The majority of metabolic consequences of obesity originate in dysfunction of adipose tissues (<xref rid="b2-etm-0-0-6399" ref-type="bibr">2</xref>). Losing weight is the most effective approach to counteract these negative consequences, through changes in lifestyle or surgery (<xref rid="b3-etm-0-0-6399" ref-type="bibr">3</xref>). Improved health or appearance encourages obese and non-obese individuals to lose weight through dietary changes or exercise (<xref rid="b4-etm-0-0-6399" ref-type="bibr">4</xref>). However, weight loss is rarely maintained (<xref rid="b5-etm-0-0-6399" ref-type="bibr">5</xref>). Repetitive loss and gain of body weight, which is defined as weight cycling, is very common (<xref rid="b6-etm-0-0-6399" ref-type="bibr">6</xref>). In developed countries 10&#x2013;40&#x0025; of the population are estimated to weight cycle (<xref rid="b7-etm-0-0-6399" ref-type="bibr">7</xref>). Impacts of weight cycling on the metabolism are controversial; studies indicate that weight cycling increases the risk of T2DM and CADs (<xref rid="b8-etm-0-0-6399" ref-type="bibr">8</xref>&#x2013;<xref rid="b10-etm-0-0-6399" ref-type="bibr">10</xref>). Underlying mechanisms remain unknown.</p>
<p>Obesity is considered a low-grade chronic inflammatory disease (<xref rid="b11-etm-0-0-6399" ref-type="bibr">11</xref>). Increased proinflammatory cytokines are expressed in hypertrophied adipocytes and adipose tissue-resident immune cells (<xref rid="b12-etm-0-0-6399" ref-type="bibr">12</xref>). Metabolic inflammation is considered to be a pivotal factor in the pathogenesis of IR and T2DM, and white adipose tissue is the main source of systemic low-grade inflammation (<xref rid="b13-etm-0-0-6399" ref-type="bibr">13</xref>). It is well-known that the primary function of adipose tissue is to store excess nutrients, including triglycerides (TGs) and release free fatty acids (FFAs) during fasting (<xref rid="b14-etm-0-0-6399" ref-type="bibr">14</xref>). To date, &#x003E;50 adipokines have been reported (<xref rid="b15-etm-0-0-6399" ref-type="bibr">15</xref>). Adipokines exert their biological roles through autocrine, paracrine or systemic mechanism, modulating physiological processes of metabolism and immunity (<xref rid="b16-etm-0-0-6399" ref-type="bibr">16</xref>). C1q/tumor necrosis factor (TNF)-related protein-3 (CTRP3) is a novel adipokine expressed in subcutaneous and visceral adipose tissue (<xref rid="b17-etm-0-0-6399" ref-type="bibr">17</xref>). CTRP3 has been reported to have multiple effects, including lowering glucose levels, inhibiting glyconeogenesis in the liver (<xref rid="b18-etm-0-0-6399" ref-type="bibr">18</xref>), increasing angiogenesis (<xref rid="b19-etm-0-0-6399" ref-type="bibr">19</xref>) and anti-inflammation (<xref rid="b20-etm-0-0-6399" ref-type="bibr">20</xref>). Expression is upregulated by insulin and downregulated by chronic lipopolysaccharide exposure (<xref rid="b21-etm-0-0-6399" ref-type="bibr">21</xref>). Impacts of weight cycling on adipokine expression, including leptin, adiponectin and resistin, have been reported (<xref rid="b22-etm-0-0-6399" ref-type="bibr">22</xref>). Associations with CTRP3 expression, which may affect metabolic consequences of weight cycling by modulating inflammation and insulin signaling transduction, have yet to be evaluated.</p>
<p>In the present study, C57BL/6J mice were cycled between high-fat diet and standard chow to determine if weight cycling alters CTRP3 expression, inflammation and insulin sensitivity compared with a normal control (NC) group that gained weight in the absence of weight cycling.</p>
</sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Animals and diets</title>
<p>A total of 30 8-week-old healthy male C57Bl/6J mice (body weight, 20.0&#x00B1;1.0 g) were housed under 12-h light/dark cycles with regulated temperature (18&#x2013;25&#x00B0;C) and humidity (55&#x2013;65&#x0025;). Mice were purchased from the Beijing Vital River Laboratory Animal Technology Co., Ltd. (Beijing, China). All mice received <italic>ad libitum</italic> access to food and water, and were fed with regular chow for 2 weeks to adapt to the environment. Contents of the regular chow were 21&#x0025; protein, 55&#x0025; carbohydrate and 6&#x0025; fat, with a total energy of 15.36 kJ/g. Following the initial 2 weeks, mice were divided randomly into the NC group (n=10), fed with regular chow throughout the study (24 weeks); the obesity group (OB; n=10), fed with high-fat diet which consisted of regular feedstuff, lard, sucrose, milk powder and fresh egg, with a final composition of 16&#x0025; protein, 38&#x0025; carbohydrate and 46&#x0025; fat and a total energy of 20.54 kJ/g throughout the study (24 weeks) (<xref rid="b23-etm-0-0-6399" ref-type="bibr">23</xref>); and the weight cycling group (WC, n=10) with a diet-switch protocol (<xref rid="b24-etm-0-0-6399" ref-type="bibr">24</xref>), where mice were fed with the high-fat diet in the first and last 8 weeks and regular chow for the remainder of the study. All experimental procedures were approved by the Institutional Animal Care and Use Committee of the Center for Animal Experiments, Wuhan University (Wuhan, China).</p>
</sec>
<sec>
<title>Body mass, food intake and feed efficiency</title>
<p>Mice had free access to food and water. Body mass (BM) was determined weekly throughout the study. Mice were provided with fresh chow every morning; chow remaining from the previous day was discarded after the mass was recorded. Differences between food supplied and remaining were considered as food intake (FI). Feed efficiency (FE) was calculated as ratio between BM gain (g) and food consumed (kJ) per animal over the course of the study (every 8 weeks), and is presented as a percentage (<xref rid="b24-etm-0-0-6399" ref-type="bibr">24</xref>).</p>
</sec>
<sec>
<title>Intraperitoneal glucose tolerance tests</title>
<p>After 24 weeks, baseline blood glucose of mice was measured from blood of the tail vein followed by 8 h fasting. An intraperitoneal injection of 10&#x0025; glucose solution at 0.01 ml/g body weight was administered to the mice. Time points of blood glucose measurements were 0, 30, 60, 120 and 180 min following injection. Levels of glucose were detected using a Glucose assay kit (cat. no. F006; Nanjing Jiancheng Bioengineering Institute, Nanjing, China) according to the manufacturer&#x0027;s protocol. The trapezoidal method was used to calculate the area under the curve of glucose (AUCG) (<xref rid="b23-etm-0-0-6399" ref-type="bibr">23</xref>).</p>
</sec>
<sec>
<title>Hyperinsulinemic-euglycemic clamp</title>
<p>At week 24, mice were anesthetized with pentobarbitone (50 mg/kg) via intraperitoneal injection following overnight fasting. Both sides of femoral veins were exposed and catheters for glucose and insulin infusions were inserted. A further catheter was inserted into the femoral artery for blood sampling. After the surgery was performed, mice were placed quietly without any further operation for 30 min to eliminate any possible stress. Then the hyperinsulinemic-euglycemic clamping test was performed, which lasted 120 min. The insulin infusion rate was 1.67 mU/kg/min and the arterial blood glucose level was clamped at the basal fasting concentration by supplying glucose at variable rates. Under hyperinsulinemic conditions, the steady glucose infusion rate (GIR) required to maintain euglycemia is a standard measure of systemic insulin sensitivity (<xref rid="b25-etm-0-0-6399" ref-type="bibr">25</xref>).</p>
</sec>
<sec>
<title>Blood measurements</title>
<p>Total cholesterol (TC), FFAs and TGs were detected using a total cholesterol assay kit, a nonesterified free fatty acid assay kit and a triglyceride assay kit all obtained from Nanjing Jiancheng Bioengineering Institute (cat. nos. F002-2, A042-2 and F001, respectively). Interleukin (IL)-6 (cat. no. ab100713) and TNF-&#x03B1; (cat. no. ab1793) were assessed using commercially available ELISA kits obtained from Abcam, (Cambridge, UK) according to the manufacturer&#x0027;s protocol. The concentrations of TNF-&#x03B1; and IL-6 in each sample were determined by interpolation from the standard curve. The intra-essay precision and inter-assay precision were &#x003C;6 and &#x003C;10&#x0025;, respectively.</p>
</sec>
<sec>
<title>Adipose tissue histology</title>
<p>At week 24, all animals were euthanized by CO<sub>2</sub> inhalation. A comprehensive assessment of death was made through observation of signs of breath, heartbeat and nerve reflex. One side of the epididymal fat was extracted from sacrificed mice. Tissue was weighed, divided into four equal pieces and fixed overnight at 4&#x00B0;C by immersion in phosphate-buffered 4&#x0025; paraformaldehyde. Samples were dehydrated and embedded in paraffin. Embedded tissue was cut into 5-&#x00B5;m-thick sections for hematoxylin and eosin staining. Sections were routinely de-waxed with xylene for 30 min, followed by gradient ethanol dehydration with 100, 95, 85 and 70&#x0025; ethanol for 2 min. The tissue sections were then immersed in hematoxylin at room temperature for 15 min, in 1&#x0025; hydrochloric alcohol for 6&#x2013;8 sec and in saturated lithium carbonate solution for 1 min. Then, the tissue sections were immersed in eosin staining solution for 4 min (<xref rid="b26-etm-0-0-6399" ref-type="bibr">26</xref>). Six light microscopic images (magnification, &#x00D7;400) per mouse and 5 mice per group were selected at random for the quantitative analysis with Image J (version 1.52a; National Institutes of Health, Bethesda, MD, USA) and the average adipocyte volume (&#x00B5;m<sup>2</sup>) was extrapolated (<xref rid="b27-etm-0-0-6399" ref-type="bibr">27</xref>).</p>
</sec>
<sec>
<title>Reverse transcription-quantitative polymerase chain reaction (RT-qPCR)</title>
<p>Fresh epididymal adipose tissue was homogenized with RLT lysis buffer (Rneasy Mini kit; Qiagen, Inc., Valencia, CA, USA) followed by chloroform delipidation steps. Total RNA was extracted from the aqueous phase using a silicon spin column. cDNA was reverse-transcribed with SuperScript III (Invitrogen; Thermo Fisher Scientific, Inc., Waltham, MA, USA) using 1 &#x00B5;g total RNA, according to the manufacturer&#x0027;s instructions. PCR primers (Shanghai Saibaisheng Gene Technology Co. Ltd., Shanghai, China) used in the present study were as follows: CTRP3, forward 5&#x2032;-GCCCCCGTATCAGGTGTGTATTT-3&#x2032; and reverse 5&#x2032;-TGAAGACTGTGTTGCCGTTGTGC-3&#x2032;; IL-6, forward 5&#x2032;-AGTTGCCTTCTTGGGACTGA-3&#x2032; and reverse 5&#x2032;-CAGAATTGCCATTGCACAAC-3&#x2032;; TNF-&#x03B1;, forwards 5&#x2032;-ACGGCATGGATCTCAAAGAC-3&#x2032; and reverse 5&#x2032;-CGGCAGAGACCACCTTGAACT-3&#x2032;; glucose transporter (GLUT)4, forward 5&#x2032;-CCCCGCTGGAATGAGGTTTTTGAGGTGAT-3&#x2032; and reverse 5&#x2032;-CAGACAGGGGCCGAAGATTGGGAGACAGT-3&#x2032;; and &#x03B2;-actin, forward 5&#x2032;-ACACCCGCCACCAGTTCGC-3&#x2032; and reverse 5&#x2032;-TCTCCCCCTCATCACCCACAT-3&#x2032;. &#x03B2;-actin mRNA was quantified as internal control. Analysis was performed using the 2<sup>&#x2212;</sup>&#x0394;&#x0394;<sup>Cq</sup> method (<xref rid="b28-etm-0-0-6399" ref-type="bibr">28</xref>). Cycle conditions were 95&#x00B0;C for 2 min followed by 40 cycles at 95&#x00B0;C for 15 sec and 65&#x00B0;C for 34 sec.</p>
</sec>
<sec>
<title>Western blot analysis</title>
<p>Proteins of epididymal adipose tissue homogenates were prepared by adding 30 &#x00B5;l/ml protease inhibitors (Roche Applied Science, Penzberg, Germany) and 10 &#x00B5;l/ml phosphatase inhibitors (Sigma-Aldrich; Merck KGaA, Darmstadt, Germany) in tissue extraction reagent I (cat. no. FNN0071; Thermo Fisher Scientific, Inc.). The protein concentration was determined using a BCA protein assay kit (Pierce; Thermo Fisher Scientific, Inc.). Samples were heated to 100&#x00B0;C for 5 min in SDS buffer (cat. no. orb154330; Biorbyt Ltd., Cambridge, UK) and equal volumes of protein extracts (25 &#x00B5;g) were separated on 12&#x0025; SDS-PAGE gels and transferred to polyvinylidene fluoride membranes. Membranes were blocked with 5&#x0025; skimmed milk in Tris-buffered saline containing 0.1&#x0025; Tween-20 (TBS-T) for 1 h at 20&#x00B0;C, followed by incubation overnight at 4&#x00B0;C with the following affinity-purified goat polyclonal primary antibodies obtained from Abcam: CTRP3 (cat. no. ab135301; 1:1,000), phosphatidylinositide 3-kinases (PI3K; cat. no. ab86714; 1:1,000), phosphorylated protein kinase B (p-PKB)-Ser473 (cat. no. ab18206; 1:1,000), PKB (cat. no. ab8805; 1:1,000) and &#x03B2;-actin: (cat. no. ab8226; 1:1,000). Horseradish peroxidase-conjugated goat anti-rabbit immunoglobulin G (1:5,000; cat. no. CL7802AP; Cedarlane Laboratories, Burlington, Canada) conjugated to horseradish peroxidase was incubated with membranes for 1 h at room temperature. Following five washes with TBS-T, membranes were processed for autoradiography by enhanced chemiluminescence (Pierce; Thermo Fisher Scientific, Inc.). Densitometric analysis was performed using ImageQuant (version LAS-4000; GE Healthcare Life Sciences, Little Chalfont, UK). Experiments were performed in triplicates.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Data are presented as mean &#x00B1; standard error and were evaluated statistically by one-way analysis of variance (ANOVA) with SPSS (19.0; IBM Corp., Armonk, NY, USA). Comparisons among three groups were performed by one-way ANOVA followed by Bonferroni&#x0027;s post-hoc tests. P&#x003C;0.05 was considered to indicate a statistically significant difference.</p>
</sec>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>Changes in BM during the experiment</title>
<p>Changes in BM of mice throughout the experiment are presented in <xref rid="f1-etm-0-0-6399" ref-type="fig">Fig. 1</xref>. At the beginning of the study, no significant differences in BM among the groups were observed. During the first 8 weeks, the BM of mice in OB and WC groups, who were provided with high-fat diet, increased faster compared with the NC group, which was fed regular chow. Following the switch to regular chow in the WC group, BM decreased over the course of 4 weeks to match that of the NC group. Following the reintroduction of a high-fat diet at week 16, mice of the WC group regained weight and matched with the OB group in the final 3 weeks of the study. At the end of the study, BM of the OB and WC groups were significantly increased compared with the NC group (P&#x003C;0.01). No significant difference in BM between OB and WC group was observed.</p>
</sec>
<sec>
<title>Weight cycling increases feed efficiency</title>
<p>Mice fed regular chow and high-fat diet had a similar FI (g/animal/day) throughout the study. The FE in the WC and OB groups was higher compared with the NC group (P&#x003C;0.01). In the first 8 weeks, there were no significant differences in FE between the OB and WC group (1.01&#x00B1;0.04 g/kJ vs. 0.99&#x00B1;0.04 g/kJ); however, both were significantly higher than the NC group (0.55&#x00B1;0.03 g/kJ, P&#x003C;0.01). In the second phase of the study, the FE of the WC group was significantly lower than the OB group (0.84&#x00B1;0.03 g/kJ vs. 0.93&#x00B1;0.03 g/kJ; P&#x003C;0.05), but all remained significantly higher than the NC group (0.49&#x00B1;0.03 g/kJ; P&#x003C;0.01). In the last 8 weeks, FE in the WC group was significantly increased compared with the OB group (1.05&#x00B1;0.05 g/kJ vs. 0.87&#x00B1;0.03 g/kJ; P&#x003C;0.01), indicating that the FE of WC mice was increased in the phase of body weight regaining (<xref rid="tI-etm-0-0-6399" ref-type="table">Table I</xref>).</p>
</sec>
<sec>
<title>Weight cycling impairs systemic glucose metabolism</title>
<p>At the end of the experiment, intraperitoneal glucose tolerance tests were performed to indicate levels of systemic glucose metabolism. High-fat dieting in the OB and WC group significantly increased blood glucose concentrations compared with regular chow in the NC group (P&#x003C;0.01). Weight cycling resulted in an additional significant increase in blood glucose levels compared with the OB group (P&#x003C;0.01; <xref rid="f2-etm-0-0-6399" ref-type="fig">Fig. 2</xref>). The AUCG from 0&#x2013;180 min (AUCG<sub>0&#x2013;180</sub>) determined for the OB and WC groups were significantly increased compared with the NC group (P&#x003C;0.01). AUCG<sub>0&#x2013;180</sub> of the WC group was significantly increased compared with the OB group (P&#x003C;0.01; <xref rid="tI-etm-0-0-6399" ref-type="table">Table I</xref>), indicating that weight cycling deteriorated metabolic dysfunction compared with continuous high-fat dieting.</p>
</sec>
<sec>
<title>Weight cycling impairs systemic insulin sensitivity</title>
<p>GIRs were used to evaluate insulin sensitivity. The GIR in the OB group was 6.72&#x00B1;0.83 mg/kg/min, which was significantly lower compared with the NC group at 10.3&#x00B1;0.98 mg/kg/min (P&#x003C;0.01). These results indicated that a high-fat diet may induce systemic IR. Weight cycling resulted in an additional significant decrease in GIR compared with the OB group (5.30&#x00B1;0.72 mg/kg/min vs. 6.72&#x00B1;0.83 mg/kg/min; P&#x003C;0.01; <xref rid="tI-etm-0-0-6399" ref-type="table">Table I</xref>).</p>
</sec>
<sec>
<title>Weight cycling increases serum lipid levels and inflammation factors</title>
<p>Levels of TG, FFA and TC in the OB and WC groups were significantly increased compared with the NC group (P&#x003C;0.01). No significant differences in TG and FFA were observed between the OB and WC groups, whereas TC levels in the WC group were significantly increased compared with the OB group (P&#x003C;0.05). Compared with the NC group, IL-6 and TNF-&#x03B1; blood levels in the OB and WC group were significantly increased (P&#x003C;0.01). IL-6 and TNF-&#x03B1; in blood levels in the WC group were significantly increased compared with the OB group (P&#x003C;0.01; <xref rid="tI-etm-0-0-6399" ref-type="table">Table I</xref>).</p>
</sec>
<sec>
<title>Weight cycling decreases CTRP3 expression in adipose tissue</title>
<p>Relative CTRP3 mRNA expression in adipose tissue of the OB and WC groups was significantly decreased compared with the NC group (P&#x003C;0.01). CTRP3 mRNA expression in the WC group was significantly decreased by 20.3&#x0025; compared with the OB group (P&#x003C;0.01; <xref rid="f3-etm-0-0-6399" ref-type="fig">Fig. 3</xref>). Compared with the NC group, relative CTRP3 protein expression in adipose tissue of the OB and WC groups was significantly decreased by 31.0 and 47.0&#x0025;, respectively (P&#x003C;0.01; <xref rid="f4-etm-0-0-6399" ref-type="fig">Fig. 4</xref>). Significant differences in CTRP3 protein expression in adipose tissue were further observed between the OB and the WC group (P&#x003C;0.01).</p>
</sec>
<sec>
<title>Weight cycling increases adipocyte size and expression of inflammatory factors in adipose tissue</title>
<p>Adipocyte sizes in the OB and WC groups were significantly increased compared with the NC group (P&#x003C;0.01). Compared with the OB group, the adipocyte size of the WC group was significantly increased by 48.42&#x0025; (P&#x003C;0.01; <xref rid="f5-etm-0-0-6399" ref-type="fig">Fig. 5</xref>). Relative IL-6 and TNF-&#x03B1; mRNA expression in the OB and WC groups were significantly elevated compared with the NC group (P&#x003C;0.01). Compared with the OB group, IL-6 and TNF-&#x03B1; mRNA expression in the WC group was significantly increased by 20.8 and 19.7&#x0025;, respectively (P&#x003C;0.01; <xref rid="f3-etm-0-0-6399" ref-type="fig">Fig. 3</xref>).</p>
</sec>
<sec>
<title>Weight cycling decreases expression of insulin signaling molecules in adipose tissue</title>
<p>Compared with the NC group, relative PI3K expression and PKB (Ser473) phosphorylation in adipose tissue of the OB and WC groups were significantly decreased (P&#x003C;0.01; <xref rid="f5-etm-0-0-6399" ref-type="fig">Fig. 5</xref>). PI3K expression and PKB (Ser473) phosphorylation in adipose tissue of the WC group were significantly decreased by 9.7 and 24.4&#x0025;, respectively, compared with the OB group (P&#x003C;0.01). Relative GLUT4 mRNA expression in the OB and WC group was decreased by 24.0 and 31.0&#x0025;, respectively, compared with the NC group (P&#x003C;0.01; <xref rid="f3-etm-0-0-6399" ref-type="fig">Fig. 3</xref>). Differences in relative GLUT4 mRNA expression between the WC and OB groups were significant (P&#x003C;0.01).</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>One of the features of obesity is low-grade inflammation, which attributes to dysregulated production and release of cytokines and adipokines, including IL-6, TNF-&#x03B1;, monocyte chemoattractant protein 1, leptin, resistin and adiponectin (<xref rid="b29-etm-0-0-6399" ref-type="bibr">29</xref>). Controlling of body weight has an important effect on T2DM, CAD and other obesity-associated diseases (<xref rid="b30-etm-0-0-6399" ref-type="bibr">30</xref>). However, weight loss interventions are often accompanied by repeated weight loss and recovery cycles, a phenomenon known as weight cycling (<xref rid="b31-etm-0-0-6399" ref-type="bibr">31</xref>). A study has demonstrated that weight cycling is associated with deterioration of metabolism and CADs (<xref rid="b32-etm-0-0-6399" ref-type="bibr">32</xref>). However, the mechanism by which weight cycling promotes metabolic dysfunction remains unclear. The current study revealed that weight cycling worsened obesity-associated systemic glucose intolerance and IR in C57Bl/6J mice. In addition to worsened metabolic disorders, it was observed that weight cycling increased TNF-&#x03B1; and IL-6 mRNA expression in adipose tissue and decreased expression of insulin signaling molecules and CTRP3, a novel adipokine, which has been reported to have anti-inflammation and insulin sensitization effects (<xref rid="b33-etm-0-0-6399" ref-type="bibr">33</xref>). These findings indicated that dysregulated CTRP3 expression and associated aggravated inflammation in adipose tissue may describe possible mechanisms through which weight cycling induces metabolic dysfunction.</p>
<p>The current study demonstrated that body weight of the WC group increased to the level of the OB group at the end of the study. Mice experienced three cycles of diet. In the second cycle, regular chow followed a high-fat diet allowing the mice to recuperate their body weight. It has been demonstrated that caloric restriction of humans and rodents reduces energy consumption and makes it difficult to maintain weight loss (<xref rid="b34-etm-0-0-6399" ref-type="bibr">34</xref>). A reduction in energy expenditure may persist during weight loss, suggesting that a reduction in energy expenditure may be a metabolic defense for weight loss (<xref rid="b35-etm-0-0-6399" ref-type="bibr">35</xref>). This may explain large fluctuations in body weight observed in obese patients. In the current study, it was revealed that the FE in the last eight weeks in the WC group was significantly higher compared with the OB group, which was also fed with high-fat diet. This indicated that the FE of WC mice was increased in the phase of regaining body weight. Weight cycling may induce adverse metabolic outcomes through regaining body weight with increased FE.</p>
<p>A clinical study demonstrated that weight cycling increases the risk for development of T2DM and CAD (<xref rid="b36-etm-0-0-6399" ref-type="bibr">36</xref>). Another study reported that there was a 10&#x0025; increase in 25-year risk of coronary death in males with cycled weight compared with those with stable gained weight (<xref rid="b37-etm-0-0-6399" ref-type="bibr">37</xref>). A previous study demonstrated that weight cycling was associated with increased incidence of T2DM in participants of the Framingham Heart Study (<xref rid="b38-etm-0-0-6399" ref-type="bibr">38</xref>). However, other studies reported no adverse effects of weight cycling (<xref rid="b6-etm-0-0-6399" ref-type="bibr">6</xref>,<xref rid="b39-etm-0-0-6399" ref-type="bibr">39</xref>,<xref rid="b40-etm-0-0-6399" ref-type="bibr">40</xref>). A study focused on the association between weight cycling and mortality and revealed that weight cycling, independent of body mass index and weight gain, did not increase the overall risk of mortality (<xref rid="b41-etm-0-0-6399" ref-type="bibr">41</xref>). The controversy of the impacts of weight cycling in humans may be due to varying study designs. In an animal study, it was reported that weight cycling resulted in an additional increase in fasting blood glucose levels and decrease in glucose tolerance compared with a weight gain group (<xref rid="b42-etm-0-0-6399" ref-type="bibr">42</xref>). In agreement with previous studies, the current study demonstrated that fasting blood glucose levels and AUCG<sub>0&#x2013;180</sub> of the weight cycling group were increased compared with the obesity group, indicating that weight cycling increases the overall metabolic disorder, even when compared with a high fat diet.</p>
<p>A previous study has revealed that weight cycling increases systemic IR in rats, through increased fasting insulin levels (<xref rid="b43-etm-0-0-6399" ref-type="bibr">43</xref>). To the best of our knowledge, the current study detected for the first time the system insulin sensitivity through hyperinsulinemic-euglycemic clamp. It revealed that high-fat dieting induced IR compared with regular chow, whereas weight cycling resulted in an additional increase in IR compared with the OB group. It was further reported that relative PI3K expression, PKB (Ser473) phosphorylation and GLUT4 gene expression in adipose tissue of the WC group were significantly decreased compared with the OB group. A previous study demonstrated that a complete loss of insulin stimulated AKT/PKB phosphorylation at Ser473 in adipose tissue of weight cycling mice following insulin injection, indicating that weight cycling further impaired adipose tissue insulin sensitivity compared with continuous obesity (<xref rid="b42-etm-0-0-6399" ref-type="bibr">42</xref>).</p>
<p>Macrophages are usually present in adipose tissue following the breakdown of adipocytes (<xref rid="b44-etm-0-0-6399" ref-type="bibr">44</xref>). A study reported that weight cycling induced a fluctuation of fat pads, potentially associated with immune cell infiltration and increased levels of proinflammatory cytokines and adipocyte IR (<xref rid="b45-etm-0-0-6399" ref-type="bibr">45</xref>). In accordance with previous studies, the current study demonstrated that weight cycling increased adipocyte size and relative IL-6 and TNF-&#x03B1; mRNA expression in adipose tissue. In addition to the activation of the innate immune system, another study reported that weight cycling increased CD4&#x002B; and CD8&#x002B; T cell counts, expression of type 1 T helper-associated cytokines and presence of CD8&#x002B; effector memory T cells in adipose tissue, suggesting an exaggerated adaptive immune response during weight cycling (<xref rid="b42-etm-0-0-6399" ref-type="bibr">42</xref>).</p>
<p>As the largest endocrine organ, adipose tissue secretes many bioactive molecules, including adipokines that circulate in blood (<xref rid="b46-etm-0-0-6399" ref-type="bibr">46</xref>). Adipokines serve important roles in energy homeostasis, obesity and diabetes (<xref rid="b47-etm-0-0-6399" ref-type="bibr">47</xref>). Adiponectin and resistin are currently discussed as key metabolic regulators in obesity, IR and T2DM (<xref rid="b48-etm-0-0-6399" ref-type="bibr">48</xref>). The concentration of circulating adiponectin, a potent anti-inflammatory effector, decreases as obesity progresses (<xref rid="b49-etm-0-0-6399" ref-type="bibr">49</xref>). Resistin is a unique signaling molecule that contributes to IR and is closely associated with inflammation markers (<xref rid="b50-etm-0-0-6399" ref-type="bibr">50</xref>). It has been reported that weight cycling decreased adiponectin expression and increased resistin expression, suggesting that weight cycling may induce metabolic disorders through dysregulation of adipokine expression (<xref rid="b43-etm-0-0-6399" ref-type="bibr">43</xref>). As a novel adipokine, CTRP3 has many effects, including lowering glucose levels, inhibiting glyconeogenesis in the liver (<xref rid="b18-etm-0-0-6399" ref-type="bibr">18</xref>), increasing angiogenesis (<xref rid="b19-etm-0-0-6399" ref-type="bibr">19</xref>) and anti-inflammation (<xref rid="b51-etm-0-0-6399" ref-type="bibr">51</xref>). A previous study revealed that CTRP3 improves insulin sensitivity of IR 3T3-L1 adipocytes by reducing inflammation and improving insulin signaling transduction (<xref rid="b25-etm-0-0-6399" ref-type="bibr">25</xref>). Effects of weight cycling on CTRP3 expression remain unknown. To the best of out knowledge, the current study, for the first time, reported that weight cycling decreased CTRP3 expression in adipose tissue.</p>
<p>There are potential limitations of the study. The frequency of weight cycling was limited to one cycle, obesity to weight loss to weight regain, biochemical parameters and the expression of inflammatory markers were only measured at the end of the study. Future studies may construct a model with increased weight cycling phases and investigate effects of weight cycling at various time points throughout the model.</p>
<p>In conclusion, the current study demonstrated that weight cycling impaired glucose tolerance and insulin sensitivity with decreased PKB (Ser473) phosphorylation, CTRP3 and PI3K protein and GLUT4 gene expression and increased IL-6 and TNF-&#x03B1; gene expression. Crosstalk between insulin and inflammation signaling is well-known; Jun N-terminal kinase-1 and inhibitor of &#x03BA;B kinase are inflammatory signaling pathways that promote insulin resistance (<xref rid="b52-etm-0-0-6399" ref-type="bibr">52</xref>). Activation of these pathways will lead to serine phosphorylation of the insulin receptor substrate protein-1, resulting in diminished insulin effectiveness (<xref rid="b53-etm-0-0-6399" ref-type="bibr">53</xref>). Weight cycling may potentially aggravate glucose intolerance of obese mice through downregulation of anti-inflammation adipokine CTRP3 expression. Further studies are needed to determine signal transduction and molecular mechanisms supporting this hypothesis.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>The authors would like to thank Ms Shuhan Li for her help with linguistic modifications to the manuscript.</p>
</ack>
<sec>
<title>Funding</title>
<p>The present study was supported by the Hubei Province Health and Family Planning Scientific Research Project (grant no. WJ2015Q018) and the Hubei Province Natural Science Foundation (grant no. 2016CFB662).</p>
</sec>
<sec>
<title>Availability of data and materials</title>
<p>All data generated or analyzed during the present study are included in this published article.</p>
</sec>
<sec>
<title>Authors&#x0027; contributions</title>
<p>XL designed and directed the research, and drafted the manuscript. XL, LJ and MY performed the experiments, and analyzed and interpreted data. YW and JS collected the experimental data. All authors read and approved the final for publication.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>All experimental procedures were approved by the Institutional Animal Care and Use Committee (IACUC) at the Center for Animal Experiments, Wuhan University (Wuhan, China).</p>
</sec>
<sec>
<title>Patient consent for publication</title>
<p>Not applicable.</p>
</sec>
<sec>
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
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<floats-group>
<fig id="f1-etm-0-0-6399" position="float">
<label>Figure 1.</label>
<caption><p>Changes in body weight of the mice. Mean body weight of mice following varying dieting regimes for 24 weeks was determined weekly. &#x002A;P&#x003C;0.01 vs. NC group. NC, normal control; OB, obesity; WC, weight cycling.</p></caption>
<graphic xlink:href="etm-16-03-2052-g00.tif"/>
</fig>
<fig id="f2-etm-0-0-6399" position="float">
<label>Figure 2.</label>
<caption><p>Weight cycling induces systemic glucose metabolic dysfunction. Blood glucose levels were determined over 180 min using IPGTT in mice following varying dieting regimes for 24 weeks. IPGTT, intraperitoneal glucose tolerance test; NC, normal control; OB, obesity; WC, weight cycling. &#x002A;P&#x003C;0.01 vs. NC group, <sup>&#x2206;</sup>P&#x003C;0.01 vs. OB group.</p></caption>
<graphic xlink:href="etm-16-03-2052-g01.tif"/>
</fig>
<fig id="f3-etm-0-0-6399" position="float">
<label>Figure 3.</label>
<caption><p>Effects of dieting on CTRP3, IL-6, TNF-&#x03B1; and GLUT4 mRNA expression. Relative CTRP3, IL-6, TNF-&#x03B1; and GLUT4 mRNA levels were determined in mice following varying dieting regimes for 24 weeks using reverse transcription-quantitative polymerase chain reaction assays. &#x002A;P&#x003C;0.01 vs. NC group; <sup>&#x2206;</sup>P&#x003C;0.01 vs. OB group. TNF, tumor necrosis factor; CTRP3, C1q/TNF-related protein-3; IL-6, interleukin-6; GLUT4, glucose transporter 4; NC, normal control; OB, obesity; WC, weight cycling.</p></caption>
<graphic xlink:href="etm-16-03-2052-g02.tif"/>
</fig>
<fig id="f4-etm-0-0-6399" position="float">
<label>Figure 4.</label>
<caption><p>Effects of dieting on CTRP3, PI3K, PKB and PKB (Ser473) protein expression. Relative CTRP3, PI3K, PKB and PKB (Ser473) protein expression was determined in mice following varying dieting regimes for 24 weeks. &#x002A;P&#x003C;0.01 vs. NC group; <sup>&#x2206;</sup>P&#x003C;0.01 vs. OB group. CTRP3, C1q/tumor necrosis factor-related protein-3; PI3K, phosphatidylinositol 3-kinase; PKB, protein kinase B; NC, normal control; OB, obesity; WC, weight cycling.</p></caption>
<graphic xlink:href="etm-16-03-2052-g03.tif"/>
</fig>
<fig id="f5-etm-0-0-6399" position="float">
<label>Figure 5.</label>
<caption><p>Effects of dieting on area of adipocytes. Section areas of adipocytes of mice following varying dieting regimes for 24 weeks were determined using hematoxylin and eosin staining (magnification, &#x00D7;400). &#x002A;P&#x003C;0.01 vs. NC group; <sup>&#x2206;</sup>P&#x003C;0.01 vs. OB group. NC, normal control; OB, obesity; WC, weight cycling.</p></caption>
<graphic xlink:href="etm-16-03-2052-g04.tif"/>
</fig>
<table-wrap id="tI-etm-0-0-6399" position="float">
<label>Table I.</label>
<caption><p>Food intake, feed efficiency, glucose tolerance, insulin sensitivity, blood fat and inflammation factors in serum of mice under varying dieting regimes (n=10).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Group</th>
<th align="center" valign="bottom">FI<sup><xref rid="tfn4-etm-0-0-6399" ref-type="table-fn">d</xref></sup> (g/animal/d)</th>
<th align="center" valign="bottom">FE<sup><xref rid="tfn4-etm-0-0-6399" ref-type="table-fn">d</xref></sup> (g/kJ)</th>
<th align="center" valign="bottom">AUCG</th>
<th align="center" valign="bottom">GIR (mg/kg/min)</th>
<th align="center" valign="bottom">FFA (mmol/l)</th>
<th align="center" valign="bottom">TG (mmol/l)</th>
<th align="center" valign="bottom">TC (mmol/l)</th>
<th align="center" valign="bottom">IL-6 (pg/ml)</th>
<th align="center" valign="bottom">TNF-&#x03B1; (pg/ml)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">NC</td>
<td align="center" valign="top">3.30&#x00B1;0.06</td>
<td align="center" valign="top">0.37&#x00B1;0.02</td>
<td align="center" valign="top">1,005&#x00B1;25</td>
<td align="center" valign="top">10.30&#x00B1;0.98</td>
<td align="center" valign="top">0.23&#x00B1;0.03</td>
<td align="center" valign="top">0.65&#x00B1;0.06</td>
<td align="center" valign="top">2.45&#x00B1;0.12</td>
<td align="center" valign="top">25.4&#x00B1;2.4</td>
<td align="center" valign="top">3.2&#x00B1;0.3</td>
</tr>
<tr>
<td align="left" valign="top">OB</td>
<td align="center" valign="top">3.29&#x00B1;0.05</td>
<td align="center" valign="top">0.87&#x00B1;0.03<sup><xref rid="tfn1-etm-0-0-6399" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">1,325&#x00B1;28<sup><xref rid="tfn1-etm-0-0-6399" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">6.72&#x00B1;0.83<sup><xref rid="tfn1-etm-0-0-6399" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">0.38&#x00B1;0.03<sup><xref rid="tfn1-etm-0-0-6399" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">0.89&#x00B1;0.09<sup><xref rid="tfn1-etm-0-0-6399" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">3.87&#x00B1;0.21<sup><xref rid="tfn1-etm-0-0-6399" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">98.7&#x00B1;5.3<sup><xref rid="tfn1-etm-0-0-6399" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">6.7&#x00B1;0.4<sup><xref rid="tfn1-etm-0-0-6399" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">WC</td>
<td align="center" valign="top">3.35&#x00B1;0.08</td>
<td align="center" valign="top">1.05&#x00B1;0.05<sup><xref rid="tfn1-etm-0-0-6399" ref-type="table-fn">a</xref>,<xref rid="tfn2-etm-0-0-6399" ref-type="table-fn">b</xref></sup></td>
<td align="center" valign="top">1,455&#x00B1;32<sup><xref rid="tfn1-etm-0-0-6399" ref-type="table-fn">a</xref>,<xref rid="tfn2-etm-0-0-6399" ref-type="table-fn">b</xref></sup></td>
<td align="center" valign="top">5.30&#x00B1;0.72<sup><xref rid="tfn1-etm-0-0-6399" ref-type="table-fn">a</xref>,<xref rid="tfn2-etm-0-0-6399" ref-type="table-fn">b</xref></sup></td>
<td align="center" valign="top">0.41&#x00B1;0.04<sup><xref rid="tfn1-etm-0-0-6399" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">0.83&#x00B1;0.08<sup><xref rid="tfn1-etm-0-0-6399" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">4.12&#x00B1;0.29<sup><xref rid="tfn1-etm-0-0-6399" ref-type="table-fn">a</xref>,<xref rid="tfn3-etm-0-0-6399" ref-type="table-fn">c</xref></sup></td>
<td align="center" valign="top">118.3&#x00B1;8.1<sup><xref rid="tfn1-etm-0-0-6399" ref-type="table-fn">a</xref>,<xref rid="tfn2-etm-0-0-6399" ref-type="table-fn">b</xref></sup></td>
<td align="center" valign="top">8.1&#x00B1;0.6<sup><xref rid="tfn1-etm-0-0-6399" ref-type="table-fn">a</xref>,<xref rid="tfn2-etm-0-0-6399" ref-type="table-fn">b</xref></sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-etm-0-0-6399"><label>a</label><p>P&#x003C;0.01 vs. NC group</p></fn>
<fn id="tfn2-etm-0-0-6399"><label>b</label><p>P&#x003C;0.01 vs. OB group</p></fn>
<fn id="tfn3-etm-0-0-6399"><label>c</label><p>P&#x003C;0.05 vs. OB group. NC, normal control; OB, obesity; WC, weight cycling; FI, food intake; FE, feed efficiency; AUCG, area under the curve of glucose; GIR, glucose infusion rate; FFA, free fatty acid; TG, triglyceride; TC, total cholesterol; IL-6, interleukin-6; TNF-&#x03B1;, tumor necrosis factor-&#x03B1;.</p></fn>
<fn id="tfn4-etm-0-0-6399"><label>d</label><p>Week 17&#x2013;24.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
