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<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.2026.5863</article-id>
<article-id pub-id-type="publisher-id">ijmm-58-01-05863</article-id>
<article-categories>
<subj-group>
<subject>Review</subject></subj-group></article-categories>
<title-group>
<article-title>Unraveling the molecular landscape of chronic radiation injury: From oxidative stress signaling to translational modeling (Review)</article-title></title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Xi</surname><given-names>Zhenjun</given-names></name><xref rid="af1-ijmm-58-01-05863" ref-type="aff">1</xref><xref rid="af2-ijmm-58-01-05863" ref-type="aff">2</xref><xref rid="fn1-ijmm-58-01-05863" ref-type="author-notes">&#x0002A;</xref></contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Li</surname><given-names>Xiaodong</given-names></name><xref rid="af3-ijmm-58-01-05863" ref-type="aff">3</xref><xref rid="fn1-ijmm-58-01-05863" ref-type="author-notes">&#x0002A;</xref></contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Yang</surname><given-names>Chunhui</given-names></name><xref rid="af4-ijmm-58-01-05863" ref-type="aff">4</xref><xref rid="fn1-ijmm-58-01-05863" ref-type="author-notes">&#x0002A;</xref></contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Wang</surname><given-names>Li</given-names></name><xref rid="af1-ijmm-58-01-05863" ref-type="aff">1</xref><xref rid="af2-ijmm-58-01-05863" ref-type="aff">2</xref><xref rid="af5-ijmm-58-01-05863" ref-type="aff">5</xref><xref rid="fn1-ijmm-58-01-05863" ref-type="author-notes">&#x0002A;</xref></contrib>
<contrib contrib-type="author">
<name><surname>Mao</surname><given-names>Jingxin</given-names></name><xref rid="af1-ijmm-58-01-05863" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname><given-names>Qianqian</given-names></name><xref rid="af5-ijmm-58-01-05863" ref-type="aff">5</xref></contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname><given-names>Chang</given-names></name><xref rid="af5-ijmm-58-01-05863" ref-type="aff">5</xref></contrib>
<contrib contrib-type="author">
<name><surname>Li</surname><given-names>Qian</given-names></name><xref rid="af5-ijmm-58-01-05863" ref-type="aff">5</xref></contrib>
<contrib contrib-type="author">
<name><surname>Hou</surname><given-names>Yuanfang</given-names></name><xref rid="af1-ijmm-58-01-05863" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>Wan</surname><given-names>Jie</given-names></name><xref rid="af6-ijmm-58-01-05863" ref-type="aff">6</xref></contrib>
<contrib contrib-type="author">
<name><surname>Yang</surname><given-names>Chengzhuo</given-names></name><xref rid="af7-ijmm-58-01-05863" ref-type="aff">7</xref></contrib>
<contrib contrib-type="author">
<name><surname>Sun</surname><given-names>Feiji</given-names></name><xref rid="af8-ijmm-58-01-05863" ref-type="aff">8</xref></contrib>
<contrib contrib-type="author">
<name><surname>Yu</surname><given-names>Chao</given-names></name><xref rid="af9-ijmm-58-01-05863" ref-type="aff">9</xref></contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname><given-names>Miao</given-names></name><xref rid="af4-ijmm-58-01-05863" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author">
<name><surname>Yuan</surname><given-names>Baocheng</given-names></name><xref rid="af4-ijmm-58-01-05863" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname><given-names>Yongsheng</given-names></name><xref rid="af1-ijmm-58-01-05863" ref-type="aff">1</xref><xref rid="af2-ijmm-58-01-05863" ref-type="aff">2</xref><xref rid="af5-ijmm-58-01-05863" ref-type="aff">5</xref></contrib>
<contrib contrib-type="author">
<name><surname>Hu</surname><given-names>Qing</given-names></name><xref rid="af4-ijmm-58-01-05863" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname><given-names>Li</given-names></name><xref rid="af5-ijmm-58-01-05863" ref-type="aff">5</xref></contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Li</surname><given-names>Xuemei</given-names></name><xref rid="af10-ijmm-58-01-05863" ref-type="aff">10</xref><xref ref-type="corresp" rid="c1-ijmm-58-01-05863"/></contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Li</surname><given-names>Xiaobing</given-names></name><xref rid="af1-ijmm-58-01-05863" ref-type="aff">1</xref><xref rid="af2-ijmm-58-01-05863" ref-type="aff">2</xref><xref rid="af5-ijmm-58-01-05863" ref-type="aff">5</xref><xref rid="af11-ijmm-58-01-05863" ref-type="aff">11</xref><xref ref-type="corresp" rid="c2-ijmm-58-01-05863"/></contrib></contrib-group>
<aff id="af1-ijmm-58-01-05863">
<label>1</label>Science and Technology Industry Development Center, Chongqing Medical and Pharmaceutical College, Chongqing 401331, P.R. China</aff>
<aff id="af2-ijmm-58-01-05863">
<label>2</label>Chongqing Municipal Health Commission Key Laboratory for Emergency Poisoning Detection and Acute Care, The First Affiliated Hospital of Chongqing Medical and Pharmaceutical College, Chongqing 400060, P.R. China</aff>
<aff id="af3-ijmm-58-01-05863">
<label>3</label>Department of Nephrology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510150, P.R. China</aff>
<aff id="af4-ijmm-58-01-05863">
<label>4</label>Department of Science and Education, The First Affiliated Hospital of Chongqing Medical and Pharmaceutical College, Chongqing 400060, P.R. China</aff>
<aff id="af5-ijmm-58-01-05863">
<label>5</label>Department of Occupational Disease and Poisoning Medicine, The First Affiliated Hospital of Chongqing Medical and Pharmaceutical College, Chongqing 400060, P.R. China</aff>
<aff id="af6-ijmm-58-01-05863">
<label>6</label>Special Medical Department, Daping Hospital, Army Medical University, Chongqing 400042, P.R. China</aff>
<aff id="af7-ijmm-58-01-05863">
<label>7</label>Department of Rehabilitation Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, P.R. China</aff>
<aff id="af8-ijmm-58-01-05863">
<label>8</label>Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical and Pharmaceutical College, Chongqing 400060, P.R. China</aff>
<aff id="af9-ijmm-58-01-05863">
<label>9</label>Department of Pediatrics, The First Affiliated Hospital of Chongqing Medical and Pharmaceutical College, Chongqing 400060, P.R. China</aff>
<aff id="af10-ijmm-58-01-05863">
<label>10</label>Department of Neurology, National Health Commission Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, P.R. China</aff>
<aff id="af11-ijmm-58-01-05863">
<label>11</label>College of Public Health, Chongqing Medical University, Chongqing 400016, P.R. China</aff>
<author-notes>
<corresp id="c1-ijmm-58-01-05863">Correspondence to: Dr Xuemei Li, Department of Neurology, National Health Commission Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, 1 Youyi Road, Yuzhong, Chongqing 400016, P.R. China, E-mail: <email>860941986@qq.com</email></corresp>
<corresp id="c2-ijmm-58-01-05863">Dr Xiaobing Li, Science and Technology Industry Development Center, Chongqing Medical and Pharmaceutical College, 82 University Town Middle Road, Shapingba, Chongqing 401331, P.R. China, E-mail: <email>xiaobing.li@cqmpc.edu.cn</email></corresp>
<fn id="fn1-ijmm-58-01-05863" fn-type="equal">
<label>&#x0002A;</label>
<p>Contributed equally</p></fn></author-notes>
<pub-date pub-type="collection">
<month>07</month>
<year>2026</year></pub-date>
<pub-date pub-type="epub">
<day>19</day>
<month>05</month>
<year>2026</year></pub-date>
<volume>58</volume>
<issue>1</issue>
<elocation-id>192</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>02</month>
<year>2026</year></date>
<date date-type="accepted">
<day>24</day>
<month>04</month>
<year>2026</year></date></history>
<permissions>
<copyright-statement>Copyright: &#x000A9; 2026 Xi et al.</copyright-statement>
<copyright-year>2026</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>The expanding footprint of human radiation exposure, driven by advances in interventional diagnostics, the resurgence of the nuclear industry and the deep-space exploration, has necessitated a paradigm shift from understanding acute syndromes to the biological effects of chronic, low-dose-rate irradiation. Unlike acute injury, chronic radiation injury (CRI) is a distinct biological entity characterized by the progressive accumulation of sublethal damage, niche remodeling and the propagation of the senescence-associated secretory phenotype, which collectively drive systemic inflammaging. Deciphering these non-linear dose-response dynamics requires high-fidelity animal models that deconstruct mechanisms often obscured by latency in human epidemiological studies. The present review critically synthesizes the methodological evolution of CRI modeling, contrasting continuous external beam paradigms with internal radionuclide contamination systems. The present study aimed to summarize the pathophysiology of multi-organ exhaustion, specifically detailing the mechanisms of hematopoietic niche senescence, pulmonary fibrosis and stochastic carcinogenesis, and propose a multidimensional validation framework integrating deep phenotyping, digital pathology and circulating biomarkers to establish rigorous construct validity. Finally, the present study aimed to bridge the translational gap by aligning preclinical screening with the Food and Drug Administration Animal Rule-a regulatory pathway permitting the approval of medical countermeasures based on animal efficacy data when human trials are unethical, advocating a future defined by single-cell spatial omics and artificial intelligence-driven precision radioprotection.</p></abstract>
<kwd-group>
<kwd>chronic radiation injury</kwd>
<kwd>low-dose-rate</kwd>
<kwd>genomic instability</kwd>
<kwd>inflammaging</kwd>
<kwd>senescence-associated secretory phenotype</kwd>
<kwd>medical countermeasure</kwd>
<kwd>Food and Drug Administration animal rule</kwd>
<kwd>precision radioprotection</kwd></kwd-group>
<funding-group>
<award-group>
<funding-source>Joint Project of Chongqing Health Commission and Science and Technology Bureau</funding-source>
<award-id>2023GGXM006</award-id></award-group>
<award-group>
<funding-source>Joint Project of Chongqing Health Commission and Science and Technology Bureau (Joint Key Laboratory Open Project)</funding-source>
<award-id>2026KFXM051</award-id></award-group>
<award-group>
<funding-source>Natural Science Foundation of Chongqing</funding-source>
<award-id>CSTB2025NSCO-GPX1116</award-id></award-group>
<award-group>
<funding-source>2026 Chongqing Municipal Health Commission Traditional Chinese Medicine Research Project</funding-source>
<award-id>2026WSJK158</award-id></award-group>
<award-group>
<funding-source>Technological Innovation Project of Shapingba District, Chongqing</funding-source>
<award-id>2025016</award-id></award-group>
<award-group>
<funding-source>2024 Scientific research Project of Chongqing Medical and Pharmaceutical College</funding-source>
<award-id>ygzrc2024101</award-id></award-group>
<award-group>
<funding-source>Chongqing Municipal Education Commission Youth Project</funding-source>
<award-id>KJQN202302811</award-id>
<award-id>KJQN202502819</award-id>
<award-id>KJQN202402821</award-id></award-group>
<award-group>
<funding-source>2024 Chongqing Medical and Pharmaceutical College Innovation Research Group Project</funding-source>
<award-id>ygz2024401</award-id></award-group>
<award-group>
<funding-source>Science and Health Joint Medical Research Project of Shapingba District, Chongqing</funding-source>
<award-id>2024SQKWLHMS051</award-id></award-group>
<award-group>
<funding-source>2025 Teaching Research &amp; Reform Project of Chongqing Medical and Pharmaceutical College</funding-source>
<award-id>YGZJG2025322</award-id></award-group>
<award-group>
<funding-source>The Key Laboratory Project of Chongqing Medical and Pharmaceutical College</funding-source>
<award-id>YGZPT2025101</award-id></award-group>
<award-group>
<funding-source>2025 Scientific Research Project of Chongqing Medical and Pharmaceutical College</funding-source>
<award-id>YGZZK2025116</award-id></award-group>
<award-group>
<funding-source>2025 Technological Innovation Project of Shapingba District, Chongqing</funding-source>
<award-id>2025031</award-id></award-group>
<award-group>
<funding-source>Joint project of Chongqing Health Commission and Science and Technology Bureau</funding-source>
<award-id>2024MSXM115</award-id></award-group>
<funding-statement>The present study was supported by 2023 Chongqing Medical Scientific Research Project (Joint Project of Chongqing Health Commission and Science and Technology Bureau; grant no. 2023GGXM006), Joint Project of Chongqing Health Commission and Science and Technology Bureau (Joint Key Laboratory Open Project) (grant no. 2026KFXM051), Natural Science Foundation of Chongqing (grant no. CSTB2025NSCO-GPX1116), 2026 Chongqing Municipal Health Commission Traditional Chinese Medicine Research Project (grant no. 2026WSJK158), Technological Innovation Project of Shapingba District, Chongqing (grant no. 2025016), 2024 Scientific research Project of Chongqing Medical and Pharmaceutical College (grant no. ygzrc2024101), Chongqing Municipal Education Commission Youth Project (grant nos. KJQN202302811, KJQN202502819 and KJQN202402821), 2024 Chongqing Medical and Pharmaceutical College Innovation Research Group Project (grant no. ygz2024401), Science and Health Joint Medical Research Project of Shapingba District, Chongqing (grant no. 2024SQKWLHMS051), 2025 Teaching Research &amp; Reform Project of Chongqing Medical and Pharmaceutical College (grant no. YGZJG2025322), The Key Laboratory Project of Chongqing Medical and Pharmaceutical College (grant no. YGZPT2025101), 2025 Scientific Research Project of Chongqing Medical and Pharmaceutical College (grant no. YGZZK2025116), 2025 Technological Innovation Project of Shapingba District, Chongqing (grant no. 2025031) and Joint project of Chongqing Health Commission and Science and Technology Bureau (grant no. 2024MSXM115).</funding-statement></funding-group></article-meta></front>
<body>
<sec sec-type="intro">
<label>1.</label>
<title>Introduction</title>
<p>Human interaction with ionizing radiation has evolved from passive environmental exposure to a complex interface defined by advanced medical diagnostics, nuclear industry expansion and long-duration space exploration (<xref rid="b1-ijmm-58-01-05863" ref-type="bibr">1</xref>). While acute radiation syndrome (ARS) resulting from high-dose exposure is characterized, the biological consequences of chronic, low-dose-rate (LDR) exposure represent a knowledge gap (<xref rid="b2-ijmm-58-01-05863" ref-type="bibr">2</xref>). It is necessary to distinguish CRI from the delayed effects of acute radiation exposure (DEARE). While DEARE refers to late-onset pathology emerging months to years following an acute high-dose/high-dose-rate exposure, CRI results from protracted LDR irradiation over months to years, characterized by continuous sublethal damage accumulation, cell senescence and inflammaging (<xref rid="b3-ijmm-58-01-05863" ref-type="bibr">3</xref>).</p>
<p>Unlike the rapid cell ablation seen in acute scenarios, CRI is characterized by persistent, progressive pathological changes (<xref rid="b4-ijmm-58-01-05863" ref-type="bibr">4</xref>). LDR exposure triggers a unique interplay of mitochondrial dysfunction and cytosolic DNA sensing pathways (cyclic GMP-AMP-STING (cGAS/STING), leading to a Senescence-Associated Secretory Phenotype (SASP, a complex pro-inflammatory secretome produced by senescent cells) (<xref rid="b5-ijmm-58-01-05863" ref-type="bibr">5</xref>). This inflammaging microenvironment drives progressive fibrosis, immune dysregulation and genomic instability distinct from acute injury patterns (<xref rid="b6-ijmm-58-01-05863" ref-type="bibr">6</xref>). Consequently, the linear no-threshold model-which assumes that biological risk is directly proportional to radiation dose without any safe lower limit-often fails to predict the non-linear, stochastic risks of chronic exposure, necessitating re-evaluation through dedicated experimental systems (<xref rid="b7-ijmm-58-01-05863" ref-type="bibr">7</xref>).</p>
<p>Animal models of CRI are key tools for deconvoluting these complex biological responses (<xref rid="b8-ijmm-58-01-05863" ref-type="bibr">8</xref>). They provide the only rigorous means to isolate the effects of dose rate from total absorbed dose, enabling the study of temporal damage accumulation vs. repair kinetics (<xref rid="b9-ijmm-58-01-05863" ref-type="bibr">9</xref>). Moreover, these models serve as the platforms for the rigorous validation of next-generation medical countermeasures (MCMs) targeting late-onset effects of both CRI and acute high-dose irradiation (DEARE), such as radiation-induced lung fibrosis and secondary malignancy (<xref rid="b10-ijmm-58-01-05863" ref-type="bibr">10</xref>). However, the fidelity of current CRI models faces scrutiny (<xref rid="b11-ijmm-58-01-05863" ref-type="bibr">11</xref>). Many historical models using fractionated acute irradiation inadequately mimic the continuous, low-intensity stress of environmental LDR (<xref rid="b12-ijmm-58-01-05863" ref-type="bibr">12</xref>-<xref rid="b14-ijmm-58-01-05863" ref-type="bibr">14</xref>). Furthermore, translating findings from inbred rodent strains to genetically diverse human populations is challenging due to species-specific differences in telomere biology and immune surveillance (<xref rid="b13-ijmm-58-01-05863" ref-type="bibr">13</xref>). Future models must integrate humanized systems and reflect the heterogeneity of real-world exposure (<xref rid="b14-ijmm-58-01-05863" ref-type="bibr">14</xref>).</p>
<p>Complementing experimental data with epidemiological evidence from human cohorts provides a foundational understanding of the long-term risks associated with chronic radiation. Long-term follow-up studies of Chernobyl liquidators and Fukushima cleanup workers have revealed elevated risks of non-cancerous pathologies, such as cataracts and circulatory disease, alongside increased incidences of leukemia and thyroid cancer (<xref rid="b15-ijmm-58-01-05863" ref-type="bibr">15</xref>-<xref rid="b17-ijmm-58-01-05863" ref-type="bibr">17</xref>). Similarly, occupational cohorts of nuclear power plant workers and healthcare professionals, particularly interventional radiologists and cardiologists, demonstrate an association between cumulative low-dose exposure and hematopoietic dysregulation or genomic instability (<xref rid="b16-ijmm-58-01-05863" ref-type="bibr">16</xref>,<xref rid="b17-ijmm-58-01-05863" ref-type="bibr">17</xref>). However, human studies are typically confounded by lifestyle variables, inaccurate retrospective dosimetry and the substantial latency period between exposure and symptomatic manifestation. These limitations highlight the translational gap that necessitates the development of high-fidelity animal models (<xref rid="b17-ijmm-58-01-05863" ref-type="bibr">17</xref>). By accurately simulating human exposure paradigms under controlled conditions, these models enable the identification of insidious molecular mechanisms such as niche remodeling and SASP-driven inflammaging that remain elusive in retrospective human analyses. Thus, integrating human epidemiological findings with mechanistic animal studies is key for establishing evidence-based occupational safety thresholds and precision radioprotection strategies (<xref rid="b18-ijmm-58-01-05863" ref-type="bibr">18</xref>).</p>
<p>The present review provides a comprehensive critique of the methodological and conceptual evolution of CRI animal models. The present study collected literature across major databases, including PubMed (<ext-link xlink:href="http://pubmed.ncbi.nlm.nih.gov/" ext-link-type="uri">pubmed.ncbi.nlm.nih.gov/</ext-link>), Scopus (<ext-link xlink:href="http://scopus.com/" ext-link-type="uri">scopus.com/</ext-link>), and Web of Science (webofscience. com/) from inception up to December 2025, specifically focusing on LDR irradiation, mechanistic modeling (SASP, oxidative stress) and translational countermeasures. The present study aimed to summarize advances in continuous external exposure and internal radionuclide contamination models, highlighting their relevance to modern radiobiology. The present study aimed to address the identification of robust cross-species biomarkers, including circulating microRNAs (miRs) and inflammatory signatures, as well as the integration of single-cell multi-omics into model validation, proposing a forward-looking framework to enhance the translational power of chronic radiation research (<xref rid="f1-ijmm-58-01-05863" ref-type="fig">Fig. 1</xref>).</p></sec>
<sec sec-type="other">
<label>2.</label>
<title>Pathophysiological characteristics of CRI</title>
<sec>
<title>Dosimetric profile: Protracted LDR exposure</title>
<p>The fundamental pathophysiology of CRI diverges from ARS (<xref rid="b19-ijmm-58-01-05863" ref-type="bibr">19</xref>). While ARS is driven by immediate, massive cellular ablation following high-dose-rate insult, CRI is the consequence of protracted exposure to LDR ionizing radiation (<xref rid="b20-ijmm-58-01-05863" ref-type="bibr">20</xref>). The biological outcome is governed not only by the total absorbed dose but also by DR (<xref rid="b21-ijmm-58-01-05863" ref-type="bibr">21</xref>). Under LDR conditions, the continuous induction of DNA damage engages adaptive response mechanisms, however, the persistent stress eventually overwhelms cellular fidelity, leading to the accumulation of sublethal damage rather than immediate cell death (<xref rid="b22-ijmm-58-01-05863" ref-type="bibr">22</xref>).</p>
<p>Populations at risk extend beyond traditional nuclear industry workers to include interventional radiologists, astronauts exposed to galactic cosmic rays and residents in high background radiation areas (<xref rid="b23-ijmm-58-01-05863" ref-type="bibr">23</xref>). Unlike the rapid onset of acute symptoms, CRI is characterized by a latent window, in which sub-clinical metabolic reprogramming and oxidative fluctuations occur prior to symptomatic manifestation (<xref rid="b24-ijmm-58-01-05863" ref-type="bibr">24</xref>). This progression complicates early risk stratification, rendering traditional biodosimetry markers ineffective and posing a challenge for precision radiation protection (<xref rid="tI-ijmm-58-01-05863" ref-type="table">Table I</xref>) (<xref rid="b25-ijmm-58-01-05863" ref-type="bibr">25</xref>).</p></sec>
<sec>
<title>Systemic cross-talk and multi-organ exhaustion</title>
<p>CRI is a systemic disease, propagated by complex inter-organ signaling rather than isolated tissue injury. The hematopoietic system serves as the most sensitive biological indicator and primary responsive target of LDR toxicity (<xref rid="b26-ijmm-58-01-05863" ref-type="bibr">26</xref>). Beyond direct DNA damage to hematopoietic stem cells (HSCs), chronic exposure remodels the bone marrow microenvironment (<xref rid="b27-ijmm-58-01-05863" ref-type="bibr">27</xref>). Radiation-induced stromal senescence and adipogenesis (fatty marrow) create a hostile niche that fails to support HSC self-renewal, leading to HSC exhaustion, persistent cytopenia and a pre-leukemic state of clonal instability (<xref rid="b28-ijmm-58-01-05863" ref-type="bibr">28</xref>). The immune system undergoes a paradoxical shift termed inflammaging. While radiation depletes na&#x000EF;ve lymphocyte pools (immunosenescence), damage-associated molecular patterns released from stressed cells trigger the cGAS/STING pathway, driving a sustained release of pro-inflammatory cytokines (IL-6, TNF-&#x003B1;) (<xref rid="b29-ijmm-58-01-05863" ref-type="bibr">29</xref>). This chronic low-grade inflammation not only impairs pathogen clearance but also creates a tumor-permissive microenvironment (<xref rid="b30-ijmm-58-01-05863" ref-type="bibr">30</xref>). The central nervous system (CNS), previously considered radioresistant, exhibits vulnerability through neuroinflammation and the inhibition of hippocampal neurogenesis, manifesting as cognitive rigidity (diminished mental flexibility and impaired adaptation to changing environmental demands) and autonomic dysregulation (<xref rid="b31-ijmm-58-01-05863" ref-type="bibr">31</xref>). Furthermore, reproductive toxicity involves germline DNA fragmentation and endocrine axis disruption, creating a cycle of systemic physiological decline amplified by oxidative stress (<xref rid="b32-ijmm-58-01-05863" ref-type="bibr">32</xref>).</p></sec>
<sec>
<title>Genomic instability and epigenetic drift</title>
<p>The molecular hallmark of CRI is genomic instability, a state where the genome acquires an increased tendency to alteration. Unlike the transient reactive oxygen species (ROS) burst in acute exposure, CRI establishes a cycle of chronic oxidative stress driven by mitochondrial dysfunction (<xref rid="b33-ijmm-58-01-05863" ref-type="bibr">33</xref>). Leakage of electrons from damaged electron transport chains generates persistent ROS, causing continuous oxidative base damage-specifically the formation of 8-oxo-7,8-dihydro-2'-deoxyguanosine (<xref rid="b34-ijmm-58-01-05863" ref-type="bibr">34</xref>). Damage is not confined to directly irradiated cells (<xref rid="b35-ijmm-58-01-05863" ref-type="bibr">35</xref>). Through the radiation-induced bystander effect, irradiated cells transmit distress signals (via exosomes and gap junctions) to non-irradiated neighbors, propagating genomic instability (<xref rid="b36-ijmm-58-01-05863" ref-type="bibr">36</xref>). Studies highlight the role of epigenetic drift (aberrant DNA methylation and histone modifications) in locking cells into a dysfunctional state (<xref rid="b37-ijmm-58-01-05863" ref-type="bibr">37</xref>,<xref rid="b38-ijmm-58-01-05863" ref-type="bibr">38</xref>). These heritable epigenetic marks explain why radiation effects persist after exposure ceases, potentially affecting unexposed offspring via transgenerational inheritance (<xref rid="f2-ijmm-58-01-05863" ref-type="fig">Fig. 2</xref>) (<xref rid="b38-ijmm-58-01-05863" ref-type="bibr">38</xref>).</p></sec>
<sec>
<title>Stochastic carcinogenesis and clonal evolution</title>
<p>A key long-term consequence of CRI is the elevation of stochastic carcinogenic risk (<xref rid="b39-ijmm-58-01-05863" ref-type="bibr">39</xref>). According to the LNT model, chronic accumulation of DNA mis-repairs increases the probability of malignant transformation (<xref rid="b40-ijmm-58-01-05863" ref-type="bibr">40</xref>).</p>
<p>Under continuous immune pressure and oxidative stress, somatic cells with advantageous mutations (in TP53 or DNA methyltransferase 3A) may undergo clonal expansion, a phenomenon known as clonal hematopoiesis of indeterminate potential (<xref rid="b41-ijmm-58-01-05863" ref-type="bibr">41</xref>). This clonal evolution serves as a precursor to radiation-induced leukemias and solid tumors (<xref rid="b42-ijmm-58-01-05863" ref-type="bibr">42</xref>).</p>
<p>Compared with spontaneous cancer, radiation-associated malignancies exhibit distinct mutational signatures and extended latency periods (<xref rid="b43-ijmm-58-01-05863" ref-type="bibr">43</xref>). The spectrum includes leukemia, thyroid papillary carcinoma and lung fibrosis-associated cancers (<xref rid="b44-ijmm-58-01-05863" ref-type="bibr">44</xref>). These mechanistic insights underscore the need for refined radiobiological models that recapitulate these stochastic events to guide international occupational safety standards (<xref rid="f3-ijmm-58-01-05863" ref-type="fig">Fig. 3</xref>; <xref rid="tII-ijmm-58-01-05863" ref-type="table">Table II</xref>).</p></sec></sec>
<sec sec-type="methods">
<label>3.</label>
<title>Methodological paradigms for modeling CRI</title>
<p>The translational validity of animal models hinges on the fidelity with which they replicate the physics and dosimetry of human exposure (<xref rid="b45-ijmm-58-01-05863" ref-type="bibr">45</xref>). While acute high-dose models are well-established, simulating the protracted nature of CRI requires precise control over dose accumulation, temporal distribution and linear energy transfer (LET) (<xref rid="b46-ijmm-58-01-05863" ref-type="bibr">46</xref>-<xref rid="b48-ijmm-58-01-05863" ref-type="bibr">48</xref>). Existing methodological approaches use X-ray and &#x003B3;-ray sources (<sup>60</sup>Co, <sup>137</sup>Cs) due to their stable energy output and tissue penetration profiles (<xref rid="b47-ijmm-58-01-05863" ref-type="bibr">47</xref>,<xref rid="b48-ijmm-58-01-05863" ref-type="bibr">48</xref>). However, the field is evolving from static exposures to sophisticated dynamic systems that decouple DR from total absorbed dose, enabling the differentiation between repairable sublethal damage and cumulative irreversible injury (<xref rid="b48-ijmm-58-01-05863" ref-type="bibr">48</xref>).</p>
<sec>
<title>External beam irradiation: From systemic to targeted precision</title>
<p>External beam irradiation is the cornerstone of radiobiological modeling, categorized by the extent of anatomical coverage. Whole-body irradiation (WBI) is the standard for simulating systemic catastrophe, such as large-scale nuclear accidents or prolonged occupational exposure in unshielded environments (<xref rid="b49-ijmm-58-01-05863" ref-type="bibr">49</xref>). By delivering a homogeneous dose across all physiological compartments, WBI effectively reproduces the syndromic nature of RI, capturing the interplay between bone marrow failure (hematopoietic syndrome) and systemic immune collapse (<xref rid="b50-ijmm-58-01-05863" ref-type="bibr">50</xref>). A challenge in WBI is achieving dosimetric homogeneity (<xref rid="b51-ijmm-58-01-05863" ref-type="bibr">51</xref>). Variations in animal geometry can lead to hot spots (overdose) or cold spots (underdose), potentially confounding survival data (<xref rid="b52-ijmm-58-01-05863" ref-type="bibr">52</xref>). Furthermore, WBI typically induces lethal acute GI toxicity before chronic fibrotic phenotypes manifest (<xref rid="b53-ijmm-58-01-05863" ref-type="bibr">53</xref>). To address this, fractionated low-dose regimens are employed to allow animals to survive the acute phase and develop late-onset pathology (<xref rid="b54-ijmm-58-01-05863" ref-type="bibr">54</xref>). To mimic scenarios such as localized radiotherapy toxicity or partial shielding, partial body irradiation selectively targets specific organs (thorax, brain) while sparing the bone marrow (<xref rid="b55-ijmm-58-01-05863" ref-type="bibr">55</xref>). Research has moved beyond lead shielding to use small animal radiation research platforms (<xref rid="b56-ijmm-58-01-05863" ref-type="bibr">56</xref>). These systems employ micro-CT guidance to deliver conformal radiation beams with sub-millimeter precision (<xref rid="b57-ijmm-58-01-05863" ref-type="bibr">57</xref>). This allows the study of organ-specific radiosensitivity (radiation-induced lung fibrosis) without the confounding variable of systemic hematopoietic collapse (<xref rid="f4-ijmm-58-01-05863" ref-type="fig">Fig. 4</xref>) (<xref rid="b58-ijmm-58-01-05863" ref-type="bibr">58</xref>).</p></sec>
<sec>
<title>Non-targeted effects (NTEs) and bystander models</title>
<p>Emerging evidence suggests CRI is not solely the result of direct energy deposition but is also mediated by NTEs (<xref rid="b59-ijmm-58-01-05863" ref-type="bibr">59</xref>). Models of indirect irradiation focus on how radiation signals are propagated through the microenvironment (<xref rid="b60-ijmm-58-01-05863" ref-type="bibr">60</xref>-<xref rid="b63-ijmm-58-01-05863" ref-type="bibr">63</xref>). Bystander and abscopal models investigate how irradiated cells communicate with non-irradiated neighbors via gap junctions, exosomes and soluble factors (ROS, cytokines) (<xref rid="b61-ijmm-58-01-05863" ref-type="bibr">61</xref>). By irradiating a specific volume (such as the liver) and assessing damage in distant organs (such as the lung), researchers can elucidate the systemic propagation of inflammatory signals (<xref rid="b62-ijmm-58-01-05863" ref-type="bibr">62</xref>). In ecological toxicology contexts, indirect exposure also refers to the interaction with irradiated media (water or soil) (<xref rid="b63-ijmm-58-01-05863" ref-type="bibr">63</xref>). These models are essential for distinguishing between direct radiotoxicity and the secondary toxicity of radiation-induced chemical species (radiolysis products) (<xref rid="b64-ijmm-58-01-05863" ref-type="bibr">64</xref>).</p></sec>
<sec>
<title>Internal contamination: Challenge of internal emitters</title>
<p>While external beams simulate prompt exposure, internal contamination is the most biologically faithful model for occupational hazards (such as uranium mining) or post-accident fallout (<xref rid="b65-ijmm-58-01-05863" ref-type="bibr">65</xref>). The pathology is dictated by the chemical nature of the radionuclide (<xref rid="b66-ijmm-58-01-05863" ref-type="bibr">66</xref>). For example, osteotropic isotopes (<sup>90</sup>Sr, <sup>226</sup>Ra) accumulate in the bone matrix, causing chronic marrow suppression and osteosarcoma, whereas radioiodine (<sup>131</sup>I) targets the thyroid (<xref rid="b67-ijmm-58-01-05863" ref-type="bibr">67</xref>). These models require precise calculation of body burden (the total amount of a radionuclide present in the organism at a given time) and effective half-life (<xref rid="b68-ijmm-58-01-05863" ref-type="bibr">68</xref>). Internal models are key for studying high-LET radiation (&#x003B1;-particles from plutonium or radon) (<xref rid="b69-ijmm-58-01-05863" ref-type="bibr">69</xref>). Unlike low-LET &#x003B3;-rays, &#x003B1;-particles cause dense ionization tracks and complex DNA double-strand breaks that are refractory to repair (<xref rid="b70-ijmm-58-01-05863" ref-type="bibr">70</xref>). This biological insult highlights the limitation of using external X-rays to mimic internal &#x003B1;-emitter contamination (<xref rid="b71-ijmm-58-01-05863" ref-type="bibr">71</xref>).</p></sec>
<sec>
<title>Complex exposure scenarios: Combined injury (CI) and LDR</title>
<p>To bridge the gap between laboratory conditions and real-world catastrophes, advanced models integrate multiple stressors (<xref rid="b72-ijmm-58-01-05863" ref-type="bibr">72</xref>,<xref rid="b73-ijmm-58-01-05863" ref-type="bibr">73</xref>). Real-world exposure typically co-occurs with trauma or burns (<xref rid="b73-ijmm-58-01-05863" ref-type="bibr">73</xref>-<xref rid="b75-ijmm-58-01-05863" ref-type="bibr">75</xref>). Specialized facilities-such as gamma gardens (open-field irradiation facilities equipped with a central radioactive source) or prolonged housing near radioactive sources (<sup>60</sup>Co or <sup>137</sup>Cs)-allow continuous exposure over months (0.05-0.50 Gy/week) (<xref rid="b75-ijmm-58-01-05863" ref-type="bibr">75</xref>). These models are suited to test the dose-rate effect (the phenomenon where the biological effectiveness of a radiation dose decreases as the rate of delivery is reduced, primarily due to ongoing cellular repair), providing key data for setting occupational safety thresholds and validating environmental risk models (<xref rid="tIII-ijmm-58-01-05863" ref-type="table">Table III</xref>) (<xref rid="b76-ijmm-58-01-05863" ref-type="bibr">76</xref>).</p></sec></sec>
<sec sec-type="other">
<label>4.</label>
<title>Biological characteristics and strategic model selection</title>
<sec>
<title>Phenotypic landscape of CRI</title>
<p>Animal models of CRI are defined by a distinct phenotypic landscape that diverges from acute syndromes (<xref rid="b77-ijmm-58-01-05863" ref-type="bibr">77</xref>). These models capture the progressive, multidimensional failure of organ systems driven by the continuous accumulation of sublethal damage and the propagation of SASP (<xref rid="b77-ijmm-58-01-05863" ref-type="bibr">77</xref>,<xref rid="b78-ijmm-58-01-05863" ref-type="bibr">78</xref>).</p></sec>
<sec>
<title>Hematopoietic exhaustion and niche remodeling</title>
<p>The hematopoietic system serves as the primary detector of radiation toxicity (<xref rid="b79-ijmm-58-01-05863" ref-type="bibr">79</xref>). Under LDR exposure, the pathology shifts from acute ablation to hematopoietic exhaustion (<xref rid="b80-ijmm-58-01-05863" ref-type="bibr">80</xref>). Continuous irradiation imposes replicative stress on HSCs, forcing quiescent cells into the cell cycle to maintain homeostasis (<xref rid="b81-ijmm-58-01-05863" ref-type="bibr">81</xref>). This chronic cycling leads to telomere erosion and premature senescence, evidenced by the downregulation of stemness markers (c-Kit, CD34) and lineage skewing toward myelopoiesis (<xref rid="b82-ijmm-58-01-05863" ref-type="bibr">82</xref>).</p>
<p>Damage extends to the bone marrow microenvironment (<xref rid="b83-ijmm-58-01-05863" ref-type="bibr">83</xref>). Radiation damages mesenchymal stromal cells and sinusoidal endothelium, altering the cytokine milieu (decreased CXCL12, increased TGF-&#x003B2;) (<xref rid="b84-ijmm-58-01-05863" ref-type="bibr">84</xref>). This hostile niche fails to support HSC retention and promotes adipogenic differentiation, perpetuating a cycle of pancytopenia and immune incompetence akin to human myelodysplastic syndrome (<xref rid="b85-ijmm-58-01-05863" ref-type="bibr">85</xref>).</p></sec>
<sec>
<title>Immunosenescence and the inflammaging loop</title>
<p>Chronic radiation accelerates immunosenescence, characterized by thymic involution and a functional paralysis of the adaptive immune repertoire (<xref rid="b86-ijmm-58-01-05863" ref-type="bibr">86</xref>). Peripheral T cell pools become oligoclonal, dominated by exhausted memory phenotypes (PD-1<sup>+</sup>) with decreased proliferative capacity (<xref rid="b87-ijmm-58-01-05863" ref-type="bibr">87</xref>). Simultaneously, the innate immune system enters a state of hyper-activation known as inflammaging (<xref rid="b88-ijmm-58-01-05863" ref-type="bibr">88</xref>). Irradiated macrophages activate the NLRP3 inflammasome and the cGAS/STING pathway, secreting a constant stream of pro-inflammatory cytokines (IL-1&#x003B2;, IL-6) (<xref rid="b89-ijmm-58-01-05863" ref-type="bibr">89</xref>). This immune dysregulation creates a permissive microenvironment that impairs pathogen clearance and reduces immunosurveillance against neoplastic transformation (<xref rid="b90-ijmm-58-01-05863" ref-type="bibr">90</xref>).</p></sec>
<sec>
<title>Neuroinflammation and synaptic stripping</title>
<p>The CNS exhibits a delayed response to chronic radiation (<xref rid="b91-ijmm-58-01-05863" ref-type="bibr">91</xref>). The primary mechanism is neuroinflammation mediated by activated microglia (<xref rid="b92-ijmm-58-01-05863" ref-type="bibr">92</xref>). Chronic exposure prevents the turnover of hippocampal neural progenitor cells, leading to deficits in neurogenesis essential for memory consolidation (<xref rid="b93-ijmm-58-01-05863" ref-type="bibr">93</xref>). Structurally, this manifests as synaptic stripping, the loss of dendritic spines in the prefrontal cortex (<xref rid="b94-ijmm-58-01-05863" ref-type="bibr">94</xref>).</p>
<p>Physiologically, these changes translate into sickness behaviors, such as lethargy, anxiety-like thigmotaxis and cognitive rigidity (<xref rid="b95-ijmm-58-01-05863" ref-type="bibr">95</xref>). Furthermore, radiation disrupts the hypothalamic-pituitary-adrenal axis, leading to circadian dysregulation (<xref rid="b96-ijmm-58-01-05863" ref-type="bibr">96</xref>). This neuro-immune-endocrine crosstalk highlights the systemic nature of CRI, where CNS injury exacerbates peripheral immune suppression (<xref rid="f5-ijmm-58-01-05863" ref-type="fig">Fig. 5</xref>) (<xref rid="b97-ijmm-58-01-05863" ref-type="bibr">97</xref>).</p></sec>
<sec>
<title>Critical appraisal: Face vs. construct validity</title>
<p>The utility of any animal model is determined by the balance between its face (phenotypic similarity to humans) and construct validity (mechanistic similarity). Compared with fractionated acute doses, LDR sources more accurately replicate the continuous radiation exposure patterns associated with occupational hazards and environmental contamination (<xref rid="b98-ijmm-58-01-05863" ref-type="bibr">98</xref>). LDR models capture the abscopal interactions between organs (such as the kidney-heart axis), allowing for the evaluation of holistic therapeutics rather than single-organ protectants (<xref rid="b99-ijmm-58-01-05863" ref-type="bibr">99</xref>). The latency of CRI requires extended housing (6-24 months), increasing costs (<xref rid="b100-ijmm-58-01-05863" ref-type="bibr">100</xref>). The confounding factor of aging becomes critical; distinguishing radiation effects from natural geriatric decline requires robust age-matched controls (<xref rid="b101-ijmm-58-01-05863" ref-type="bibr">101</xref>). Rodents possess different metabolic rates and DNA repair kinetics than humans (<xref rid="b102-ijmm-58-01-05863" ref-type="bibr">102</xref>). For example, the lethal dose required to kill 50% of the population within 30 days) varies, complicating the direct extrapolation of dose-response associations (<xref rid="b103-ijmm-58-01-05863" ref-type="bibr">103</xref>).</p></sec>
<sec>
<title>Strategic model selection for translational relevance</title>
<p>Selecting the appropriate model involves ensuring a match between the specific biological mechanisms under investigation and the inherent physiological attributes of the chosen animal (<xref rid="b104-ijmm-58-01-05863" ref-type="bibr">104</xref>).</p></sec>
<sec>
<title>Interspecies radiosensitivity and physiological homology</title>
<p>Murine models are the workhorse of mechanistic radiobiology (<xref rid="b105-ijmm-58-01-05863" ref-type="bibr">105</xref>). C57BL/6 mice are preferred for fibrosis and inflammation studies (Th1-dominant), while BALB/c mice are used for solid tumor induction (Th2-dominant) (<xref rid="b106-ijmm-58-01-05863" ref-type="bibr">106</xref>). While useful for molecular genetics, their small size makes localized organ dosimetry challenging (<xref rid="b107-ijmm-58-01-05863" ref-type="bibr">107</xref>). Rats offer a larger physiological volume, facilitating surgical interventions and serial blood sampling without inducing hypovolemic stress (<xref rid="b108-ijmm-58-01-05863" ref-type="bibr">108</xref>). They are superior for cardiovascular and renal radiation toxicity models due to hemodynamics closer to those of humans (<xref rid="b109-ijmm-58-01-05863" ref-type="bibr">109</xref>). Large animal models (canine/porcine/non-human primates) are the gold standard for preclinical validation. Porcine skin and gastrointestinal tracts are anatomically nearly identical to humans, making them ideal for cutaneous and visceral RI models (<xref rid="b110-ijmm-58-01-05863" ref-type="bibr">110</xref>). Non-human primates are essential for pivotal studies assessing complex neurobehavioral outcomes and sophisticated immune responses due to high genetic homology (<xref rid="f6-ijmm-58-01-05863" ref-type="fig">Fig. 6</xref>; <xref rid="tIV-ijmm-58-01-05863" ref-type="table">Table IV</xref>) (<xref rid="b111-ijmm-58-01-05863" ref-type="bibr">111</xref>).</p></sec>
<sec>
<title>Genetic diversity: Humanized and outbred models</title>
<p>Genetic background dictates the trajectory of chronic injury (<xref rid="b112-ijmm-58-01-05863" ref-type="bibr">112</xref>). While inbred strains (C57BL/6) offer reproducibility, they fail to capture human heterogeneity. Strains such as ataxia telangiectasia mutated-deficient or p53-heterozygous mice accelerate the onset of stochastic effects such as carcinogenesis, compressing decades of human latency into months (<xref rid="b113-ijmm-58-01-05863" ref-type="bibr">113</xref>). One approach involves using diversity outbred populations to map the genetic architecture of individual radiosensitivity, mimicking the diverse human response more effectively than traditional, genetically homogeneous inbred strains (<xref rid="b114-ijmm-58-01-05863" ref-type="bibr">114</xref>). Humanized mouse models, such as the NSG-SGM3 strain &#x0005B;NOD.Cg-Prkdc<sup>scid</sup> Il2<sup>rgtm1Wjl</sup> Tg(Prfg-IL3,CSF2,KITLG)1Eav/MloySzJ, which expresses human cytokines to support myeloid engraftment&#x0005D;, reconstituted with human HSCs allow the study of human immune responses to chronic radiation <italic>in vivo</italic>, bridging the translational gap (<xref rid="b61-ijmm-58-01-05863" ref-type="bibr">61</xref>,<xref rid="b89-ijmm-58-01-05863" ref-type="bibr">89</xref>,<xref rid="b115-ijmm-58-01-05863" ref-type="bibr">115</xref>).</p></sec>
<sec>
<title>Dosimetric and environmental standardization</title>
<p>Precision in CRI modeling requires rigorous dosimetry (<xref rid="b116-ijmm-58-01-05863" ref-type="bibr">116</xref>). The definition of chronic varies; thus, reporting the precise dose rate (Gy/h) is as critical as the total accumulated dose (<xref rid="b117-ijmm-58-01-05863" ref-type="bibr">117</xref>). Isodose cages ensure that animals receive uniform exposure regardless of movement (<xref rid="b118-ijmm-58-01-05863" ref-type="bibr">118</xref>). Furthermore, adherence to ARRIVE guidelines ensures husbandry factors (microbiome, circadian light cycles) are controlled to isolate the radiation variable (<xref rid="b119-ijmm-58-01-05863" ref-type="bibr">119</xref>).</p></sec></sec>
<sec sec-type="other">
<label>5.</label>
<title>Multidimensional validation and construct validity of animal models</title>
<p>The utility of a preclinical model relies on its construct validity, the fidelity with which it recapitulates the human pathological landscape (<xref rid="b120-ijmm-58-01-05863" ref-type="bibr">120</xref>). Establishing a standardized validation framework is key, as CRI presents a subtle, non-linear progression distinct from the clear endpoints of acute syndrome (<xref rid="b121-ijmm-58-01-05863" ref-type="bibr">121</xref>). A robust validation strategy must triangulate data across physiological performance, hematological integrity, histopathological architecture and molecular signatures, providing systems-level corroboration of radiation toxicity (<xref rid="b122-ijmm-58-01-05863" ref-type="bibr">122</xref>).</p>
<sec>
<title>Physiological and behavioral deep phenotyping</title>
<p>Physiological metrics serve as the frontline indicators of systemic stress and sickness behavior, typically preceding clinically detectable organ failure (<xref rid="b123-ijmm-58-01-05863" ref-type="bibr">123</xref>). Unlike the rapid weight loss seen in acute syndrome, chronic radiation induces a wasting phenotype akin to cancer cachexia (<xref rid="b124-ijmm-58-01-05863" ref-type="bibr">124</xref>). Longitudinal monitoring typically reveals a blunted growth trajectory or gradual BMI decline, driven by hypothalamic inflammation and sustained catabolic signaling (<xref rid="b125-ijmm-58-01-05863" ref-type="bibr">125</xref>). Clinical frailty index, an aggregate score of deficits (alopecia, gait anomalies, grip strength), is a superior metric for quantifying radiation-induced accelerated aging compared with body weight alone (<xref rid="b126-ijmm-58-01-05863" ref-type="bibr">126</xref>). Changes in feeding behavior reflect the disruption of the gut-brain axis (<xref rid="b127-ijmm-58-01-05863" ref-type="bibr">127</xref>). Radiation-induced mucositis and hypothalamic dysregulation manifest as anorexia and polydipsia (<xref rid="b128-ijmm-58-01-05863" ref-type="bibr">128</xref>). A sustained 20-30% decline in caloric intake suggests a transition from transient stress to chronic metabolic dysregulation (<xref rid="b129-ijmm-58-01-05863" ref-type="bibr">129</xref>). Quantitative behavioral assays are key for validating CNS injury (<xref rid="b130-ijmm-58-01-05863" ref-type="bibr">130</xref>). Automated tracking using open field test and Morris water maze detects decreased locomotor velocity (lethargy), anxiety-like thigmotaxis and cognitive deficits in spatial memory (<xref rid="b131-ijmm-58-01-05863" ref-type="bibr">131</xref>). These behavioral phenotypes are associated with hippocampal neuroinflammation and serve as non-invasive biomarkers for successful model induction (<xref rid="b132-ijmm-58-01-05863" ref-type="bibr">132</xref>).</p></sec>
<sec>
<title>Hematological surveillance: Lineage skewing and exhaustion</title>
<p>Peripheral blood analysis provides a dynamic liquid biopsy of the bone marrow microenvironment (<xref rid="b133-ijmm-58-01-05863" ref-type="bibr">133</xref>). In CRI models, the validation endpoint is lineage skewing (a persistent imbalance in the production of different hematopoietic cell types that reflects underlying marrow dysfunction and stem cell injury. While acute exposure causes rapid pancytopenia, chronic exposure typically leads to a myeloid-biased output (increased granulocyte/lymphocyte ratio) at the expense of lymphopoiesis, a hallmark of hematopoietic aging (<xref rid="b134-ijmm-58-01-05863" ref-type="bibr">134</xref>). Progressive, refractory normocytic anemia (hemoglobin &lt;100 g/l) and elevated red cell distribution width serve as diagnostic criteria for cumulative marrow failure (<xref rid="b135-ijmm-58-01-05863" ref-type="bibr">135</xref>). Flow cytometric profiling must assess functional status (<xref rid="b136-ijmm-58-01-05863" ref-type="bibr">136</xref>). Validated models demonstrate an inverted CD4/CD8 ratio and the expansion of regulatory T cells (<xref rid="b137-ijmm-58-01-05863" ref-type="bibr">137</xref>,<xref rid="b138-ijmm-58-01-05863" ref-type="bibr">138</xref>). Upregulation of exhaustion markers on T cells-specifically programmed cell death protein 1 (PD-1) and T-cell immunoglobulin and mucin domain-containing protein 3, along with decreased natural killer cell cytotoxicity, provide definitive immunophenotypic evidence of chronic radiation stress (<xref rid="b138-ijmm-58-01-05863" ref-type="bibr">138</xref>).</p></sec>
<sec>
<title>Histopathological architecture and artificial intelligence (AI)-assisted quantification</title>
<p>Histopathology remains the gold standard for defining irreversible tissue remodeling (<xref rid="b139-ijmm-58-01-05863" ref-type="bibr">139</xref>). However, modern validation requires specific staining and digital quantification beyond standard hematoxylin and eosin staining (<xref rid="b140-ijmm-58-01-05863" ref-type="bibr">140</xref>). A pathognomonic feature of CRI is the replacement of hematopoietic cellularity with adipose tissue (<xref rid="b141-ijmm-58-01-05863" ref-type="bibr">141</xref>). Validated models demonstrate a quantifiable shift in the marrow adipocyte-to-hematopoietic cell ratio (<xref rid="b142-ijmm-58-01-05863" ref-type="bibr">142</xref>-<xref rid="b144-ijmm-58-01-05863" ref-type="bibr">144</xref>). A hallmark of late-stage CRI is the excessive deposition of extracellular matrix (<xref rid="b143-ijmm-58-01-05863" ref-type="bibr">143</xref>). Validation should utilize Masson's trichrome or Sirius Red staining to visualize collagen (<xref rid="b144-ijmm-58-01-05863" ref-type="bibr">144</xref>). Immunohistochemistry for &#x003B1;-smooth muscle actin (identifying myofibroblasts) is key for distinguishing active fibrogenesis from static scarring (<xref rid="b145-ijmm-58-01-05863" ref-type="bibr">145</xref>). To enhance reproducibility, studies employ AI-driven image analysis algorithms to score fibrosis area fraction and cellularity, eliminating inter-observer variability inherent in manual scoring (<xref rid="b145-ijmm-58-01-05863" ref-type="bibr">145</xref>,<xref rid="b146-ijmm-58-01-05863" ref-type="bibr">146</xref>).</p></sec>
<sec>
<title>Molecular signatures: Omics of injury</title>
<p>Phenotypic observation must be corroborated by molecular mechanisms (<xref rid="b147-ijmm-58-01-05863" ref-type="bibr">147</xref>). The persistence of DNA double-strand breaks is the molecular footprint of radiation (<xref rid="b148-ijmm-58-01-05863" ref-type="bibr">148</xref>). Immunofluorescence quantification of phosphorylated histone H2AX and p53-binding protein 1 (53BP1) foci-two established biomarkers of DNA double-strand breaks-in circulating lymphocytes serves as a biodosimeter (<xref rid="b149-ijmm-58-01-05863" ref-type="bibr">149</xref>). Persistent upregulation of repair genes, such as ATM and X-ray repair cross-complementing protein 1, indicates sustained genomic stress and failed repair kinetics (<xref rid="b150-ijmm-58-01-05863" ref-type="bibr">150</xref>). Chronic injury is maintained by the SASP (<xref rid="b151-ijmm-58-01-05863" ref-type="bibr">151</xref>). Validated models must demonstrate a specific cytokine signature in plasma: Elevated IL-6, IL-1&#x003B2; and MMPs, coupled with reduced IGF-1 (<xref rid="b152-ijmm-58-01-05863" ref-type="bibr">152</xref>). This biochemical profile links molecular senescence to macroscopic fibrosis (<xref rid="b153-ijmm-58-01-05863" ref-type="bibr">153</xref>). Emerging validation strategies use cell-free DNA and radiation-responsive miRs (miR-150, miR-34a) as minimally invasive markers of tissue damage, offering a translational bridge to human clinical diagnostics (<xref rid="b153-ijmm-58-01-05863" ref-type="bibr">153</xref>,<xref rid="b154-ijmm-58-01-05863" ref-type="bibr">154</xref>).</p>
<p>A model is considered validated only when it satisfies this multidimensional matrix: Exhibiting the phenotypic frailty, hematological skewing, histological fibrosis and the molecular SASP signature characteristic of human CRI pathology (<xref rid="f7-ijmm-58-01-05863" ref-type="fig">Fig. 7</xref>; <xref rid="tV-ijmm-58-01-05863" ref-type="table">Table V</xref>) (<xref rid="b155-ijmm-58-01-05863" ref-type="bibr">155</xref>).</p></sec></sec>
<sec sec-type="other">
<label>6.</label>
<title>Translational paradigms: From mechanistic discovery to clinical countermeasure</title>
<p>Animal models of CRI serve as the operational bridge between <italic>in vitro</italic> mechanistic data and human clinical application (<xref rid="b156-ijmm-58-01-05863" ref-type="bibr">156</xref>,<xref rid="b157-ijmm-58-01-05863" ref-type="bibr">157</xref>). Because efficacy testing of radioprotective agents in humans is ethically precluded, these models are typically the primary source of evidence for regulatory approval under US. Food and Drug Administration (FDA) 'Animal Rule, which allows for the approval of new drugs based on animal efficacy data when human clinical trials are ethically or logistically unfeasible (<xref rid="tVI-ijmm-58-01-05863" ref-type="table">Table VI</xref>) (<xref rid="b157-ijmm-58-01-05863" ref-type="bibr">157</xref>).</p>
<sec>
<title>Unraveling molecular networks and epigenetic landscapes</title>
<p>Animal models of chronic radiation injury allow the mapping of complex signal transduction networks that drive chronic pathology (<xref rid="b158-ijmm-58-01-05863" ref-type="bibr">158</xref>,<xref rid="b159-ijmm-58-01-05863" ref-type="bibr">159</xref>). Chronic LDR exposure triggers a senescence-like arrest distinct from acute apoptosis (<xref rid="b159-ijmm-58-01-05863" ref-type="bibr">159</xref>). Models have been pivotal in identifying the p53-p21 axis as the gatekeeper of this arrest and the subsequent activation of NF-&#x003BA;B, which drives the SASP (<xref rid="b160-ijmm-58-01-05863" ref-type="bibr">160</xref>,<xref rid="b161-ijmm-58-01-05863" ref-type="bibr">161</xref>). This demonstrates how irradiated cells survive but remain metabolically active, propagating inflammation to bystander tissue (<xref rid="b161-ijmm-58-01-05863" ref-type="bibr">161</xref>). epigenetic scars (persistent, long-term alterations in the epigenome (such as stable changes in DNA methylation patterns) that continue to drive abnormal gene expression long after the initial radiation exposure has ceased (<xref rid="b162-ijmm-58-01-05863" ref-type="bibr">162</xref>,<xref rid="b163-ijmm-58-01-05863" ref-type="bibr">163</xref>). High-throughput bisulfite sequencing in chronically exposed rodents has identified persistent hypermethylation of tumor suppressor promoters (<italic>p</italic>16<sup>INK4a</sup>) and global hypomethylation of retrotransposons (<xref rid="b163-ijmm-58-01-05863" ref-type="bibr">163</xref>). Integrative multi-omics (transcriptomics + metabolomics) has mapped the dysregulation of the tricarboxylic acid cycle and fatty acid oxidation, providing a systems-level view of radiation-induced metabolic rewiring (<xref rid="b164-ijmm-58-01-05863" ref-type="bibr">164</xref>).</p></sec>
<sec>
<title>Preclinical development of MCMs</title>
<p>The primary industrial application of animal models of chronic radiation injury is the rigorous screening of MCMs, distinguishing between prophylactic agents (pre-exposure) and mitigators (post-exposure) (<xref rid="b165-ijmm-58-01-05863" ref-type="bibr">165</xref>). In the screening phase, models quantify the dose reduction factor of candidate agents (<xref rid="b166-ijmm-58-01-05863" ref-type="bibr">166</xref>). Effective agents must demonstrate significant preservation of the HSC pool and a reduction in marrow adiposity (<xref rid="b167-ijmm-58-01-05863" ref-type="bibr">167</xref>). Research has moved beyond free radical scavengers to targeted therapy (<xref rid="b168-ijmm-58-01-05863" ref-type="bibr">168</xref>). Models are validating senolytics (navitoclax, quercetin) that selectively eliminate senescent cells to rejuvenate tissue (<xref rid="b168-ijmm-58-01-05863" ref-type="bibr">168</xref>,<xref rid="b169-ijmm-58-01-05863" ref-type="bibr">169</xref>). Furthermore, pharmacodynamic studies optimize dosing to mitigate DEARE, ensuring that agents do not interfere with DNA repair in a manner that promotes secondary carcinogenesis (<xref rid="tVII-ijmm-58-01-05863" ref-type="table">Table VII</xref>) (<xref rid="b57-ijmm-58-01-05863" ref-type="bibr">57</xref>,<xref rid="b170-ijmm-58-01-05863" ref-type="bibr">170</xref>).</p></sec>
<sec>
<title>Integrated protection: Lifestyle and metabolic interventions</title>
<p>Beyond pharmaceuticals, models are key for testing holistic strategies suitable for long-term occupational exposure (<xref rid="b171-ijmm-58-01-05863" ref-type="bibr">171</xref>). Comparative studies demonstrate that dietary polyphenols and probiotics remodel the gut microbiome, which is often dysbiotic after radiation (<xref rid="b171-ijmm-58-01-05863" ref-type="bibr">171</xref>,<xref rid="b172-ijmm-58-01-05863" ref-type="bibr">172</xref>). This gut-bone marrow axis modulation enhances Nrf2-ARE signaling, the master regulator of antioxidant defense, thereby decreasing systemic oxidative stress (malondialdehyde levels) (<xref rid="b173-ijmm-58-01-05863" ref-type="bibr">173</xref>). Controlled exercise studies reveal that mechanical loading upregulates AMPK signaling, promoting mitochondrial biogenesis (<xref rid="b174-ijmm-58-01-05863" ref-type="bibr">174</xref>,<xref rid="b175-ijmm-58-01-05863" ref-type="bibr">175</xref>). This counteracts radiation-induced sarcopenia and fatigue, offering a non-pharmacological strategy for astronauts or nuclear workers (<xref rid="b175-ijmm-58-01-05863" ref-type="bibr">175</xref>).</p></sec>
<sec>
<title>Risk assessment: Adverse outcome pathways (AOPs) and the exposome</title>
<p>Animal models provide the empirical data necessary to construct AOPs, which link a molecular initiating event (such as DNA oxidation) to an adverse outcome (such as fibrosis). By exposing large cohorts to low-dose rates, researchers test the validity of the LNT model vs. hormesis (adaptive response) (<xref rid="b176-ijmm-58-01-05863" ref-type="bibr">176</xref>,<xref rid="b177-ijmm-58-01-05863" ref-type="bibr">177</xref>). This data is critical for setting occupational limits (such as for interventional cardiologists) (<xref rid="b178-ijmm-58-01-05863" ref-type="bibr">178</xref>). Real-world risk involves combined stressors (<xref rid="b179-ijmm-58-01-05863" ref-type="bibr">179</xref>). Advanced models simulate the exposome by co-exposing animals to radiation in the presence of heavy metals (such as uranium mining) or microgravity (spaceflight) (<xref rid="b178-ijmm-58-01-05863" ref-type="bibr">178</xref>,<xref rid="b179-ijmm-58-01-05863" ref-type="bibr">179</xref>). These studies reveal synergistic toxicities that single-stressor models miss, refining ecological risk assessments (<xref rid="b179-ijmm-58-01-05863" ref-type="bibr">179</xref>,<xref rid="b180-ijmm-58-01-05863" ref-type="bibr">180</xref>).</p></sec>
<sec>
<title>Translational perspective: Toward precision radioprotection</title>
<p>The future of CRI animal models lies in precision radioprotection (<xref rid="b181-ijmm-58-01-05863" ref-type="bibr">181</xref>). By using diversity outbred mice that reflect human genetic heterogeneity, researchers can identify genetic polymorphisms (in ATM or TGF-&#x003B2;) that confer individual radiosensitivity (<xref rid="b182-ijmm-58-01-05863" ref-type="bibr">182</xref>). Furthermore, the integration of spatial transcriptomics allows the mapping of radiation injury at single-cell resolution <italic>in situ</italic>, identifying rare, radio-resistant SC subpopulations that drive tissue regeneration or fibrosis (<xref rid="b183-ijmm-58-01-05863" ref-type="bibr">183</xref>,<xref rid="b184-ijmm-58-01-05863" ref-type="bibr">184</xref>). These refined models may facilitate the development of personalized radiation health passports, guiding individual risk management based on genetic and metabolic profiles (<xref rid="b183-ijmm-58-01-05863" ref-type="bibr">183</xref>-<xref rid="b185-ijmm-58-01-05863" ref-type="bibr">185</xref>).</p></sec></sec>
<sec sec-type="other">
<label>7.</label>
<title>Future outlook: Precision radiobiology</title>
<p>CR modeling is on the precipice of a technological revolution (<xref rid="b186-ijmm-58-01-05863" ref-type="bibr">186</xref>). Animal models are key for bridging the translational gap between laboratory-based basic research and clinical implementation, where many promising candidates fail due to unforeseen toxicities or lack of efficacy, yet the traditional black box approach, exposing animals and waiting for phenotypic outcomes, is being superseded by systems biology and engineering (<xref rid="b187-ijmm-58-01-05863" ref-type="bibr">187</xref>). The future lies in the convergence of high-fidelity <italic>in vivo</italic> modeling with high-resolution omics and AI, offering opportunities to rewrite the paradigms of radiation protection and therapy (<xref rid="f8-ijmm-58-01-05863" ref-type="fig">Fig. 8</xref>) (<xref rid="b188-ijmm-58-01-05863" ref-type="bibr">188</xref>).</p>
<sec>
<title>From bulk analysis to spatiotemporal resolution</title>
<p>Future mechanistic inquiry will transcend bulk tissue analysis to identify the spatiotemporal dynamics of injury (<xref rid="b189-ijmm-58-01-05863" ref-type="bibr">189</xref>). By integrating single-cell RNA sequencing with spatial transcriptomics, researchers may move beyond merely identifying which cells are damaged to understanding where they are located relative to the niche (<xref rid="b190-ijmm-58-01-05863" ref-type="bibr">190</xref>). This will map the neighborhood effects (how a senescent stromal cell spatially corrupts adjacent stem cells via SASP) (<xref rid="b191-ijmm-58-01-05863" ref-type="bibr">191</xref>). Advanced genetic fate-mapping will unveil the clonal trajectories of surviving cells, distinguishing between regenerative and pre-leukemic clones (<xref rid="b192-ijmm-58-01-05863" ref-type="bibr">192</xref>). This high-resolution mapping may identify specific molecular switch points (such as epigenetic loci) that determine whether a tissue undergoes repair or irreversible fibrosis (<xref rid="b193-ijmm-58-01-05863" ref-type="bibr">193</xref>).</p></sec>
<sec>
<title>Next-generation therapeutics: Senolytics and cell-free regenerative medicine</title>
<p>The therapeutic landscape is shifting from symptom management to disease modification (<xref rid="b194-ijmm-58-01-05863" ref-type="bibr">194</xref>). A notable frontier is the targeting of senescent cells (<xref rid="b195-ijmm-58-01-05863" ref-type="bibr">195</xref>). Future models will rigorously validate senolytics (drugs that induce apoptosis in senescent cells) and senomorphics (agents that suppress SASP without killing the cell) (<xref rid="b196-ijmm-58-01-05863" ref-type="bibr">196</xref>). The goal is to restore the irradiated microenvironment to a pre-exposure state (<xref rid="b197-ijmm-58-01-05863" ref-type="bibr">197</xref>). While SC therapy holds promise, the future may lie in extracellular vesicles (EVs) and exosomes (<xref rid="b198-ijmm-58-01-05863" ref-type="bibr">198</xref>). Derived from mesenchymal SCs, these cell-free cargoes carry regenerative miRs and proteins with lower immunogenicity and tumorigenic risk than live cells (<xref rid="b199-ijmm-58-01-05863" ref-type="bibr">199</xref>). Models optimize engineered EVs loaded with specific radioprotective cargos (mitochondria or mRNA) for targeted delivery (<xref rid="b199-ijmm-58-01-05863" ref-type="bibr">199</xref>,<xref rid="b200-ijmm-58-01-05863" ref-type="bibr">200</xref>). Clustered regularly interspaced short palindromic repeats-associated protein 9 and base editing <italic>in vivo</italic> will evolve toward correcting radiation-induced mutations in somatic tissue or epigenetically silencing pro-fibrotic genes (TGF-&#x003B2;) via modifiable promotors (<xref rid="b201-ijmm-58-01-05863" ref-type="bibr">201</xref>).</p></sec>
<sec>
<title>AI: Dosimetry and digital twins</title>
<p>AI may transform experimental design and risk assessment (<xref rid="b202-ijmm-58-01-05863" ref-type="bibr">202</xref>). Machine learning algorithms may replace manual observation, detecting subtle neurobehavioral deficits (gait asymmetry, micro-tremors) invisible to the human eye, increasing the sensitivity of chronic injury models (<xref rid="b203-ijmm-58-01-05863" ref-type="bibr">203</xref>). By integrating large omics datasets from animal studies, researchers aim to create digital twins of radiation injury (<xref rid="b204-ijmm-58-01-05863" ref-type="bibr">204</xref>). These <italic>in silico</italic> models can simulate decades of chronic exposure in seconds, predicting long-term outcomes and screening millions of drug candidates virtually before an animal is treated (<xref rid="b205-ijmm-58-01-05863" ref-type="bibr">205</xref>). This may accelerate MCM discovery.</p></sec>
<sec>
<title>Humanized avatars and microphysiological systems (MPSs)</title>
<p>Hybrid systems may overcome the interspecies gap (<xref rid="b206-ijmm-58-01-05863" ref-type="bibr">206</xref>). The use of immunodeficient mice reconstituted with human hematopoietic and immune systems (MISTRG mice) may become standard for assessing human-specific immune responses to chronic radiation (<xref rid="b207-ijmm-58-01-05863" ref-type="bibr">207</xref>). Integration of MPSs (organs-on-chips) with animal validation may enable transition from high-throughput <italic>in vitro</italic> mechanistic screening to definitive <italic>in vivo</italic> validation (<xref rid="b208-ijmm-58-01-05863" ref-type="bibr">208</xref>). MPS screen for human-specific toxicity mechanisms, while the animal model confirms systemic safety (<xref rid="b209-ijmm-58-01-05863" ref-type="bibr">209</xref>). This aligns with the replacement, reduction and refinement principle while maximizing translational relevance for diverse populations, from astronauts to nuclear workers (<xref rid="b210-ijmm-58-01-05863" ref-type="bibr">210</xref>).</p>
<p>While the present review provides a methodological framework for CRI modeling, limitations must be acknowledged. First, due to the logistical, ethical and financial constraints of conducting life-span studies in large animal models (such as non-human primates), the majority of the mechanistic data, particularly regarding SASP and inflammaging, is derived from murine models. Extrapolating these rodent-derived mechanisms to humans requires extreme caution, given the species-specific differences in telomere dynamics, metabolic rate and immune surveillance. Second, experimental models traditionally isolate radiation as a single stressor to maintain controlled variables. However, real-world human exposure (spaceflight or nuclear accidents) typically involves complex exposome interactions, such as concomitant exposure to heavy metals, psychological stress or microgravity, which may alter the CRI trajectory. Finally, spatial multi-omics and AI-driven digital twins are currently in their early developmental or conceptual phases and require empirical validation before widespread translational application.</p>
<p>In conclusion, CR animal models are transitioning from descriptive pathology to predictive precision medicine (<xref rid="b211-ijmm-58-01-05863" ref-type="bibr">211</xref>). This may facilitate development of robust, personalized defenses against adverse health effects of ionizing radiation (<xref rid="b212-ijmm-58-01-05863" ref-type="bibr">212</xref>).</p></sec></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>ZX, XiaodongL, ChunhuiY, LW, JM, QLiu, CL, QLi, YH, JW, ChengzhuoY, FS, ChaoY, MW, BY, YL, QH, LZ, XuemeiL and XiaobingL wrote the manuscript and constructed figures. XuemeiL and XiaobingL edited the manuscript and supervised the study. Data authentication is not applicable. All authors have read and approved the final manuscript.</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>
<ack>
<title>Acknowledgements</title>
<p>The authors would like to thank Professor Sheng Li (Chongqing Medical and Pharmaceutical College, Chongqing, China) for providing expert guidance on the conceptual framework and feedback during the preparation of the manuscript.</p></ack>
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<fig id="f1-ijmm-58-01-05863" position="float">
<label>Figure 1</label>
<caption>
<p>Distinction between ARS and CRI: Dose-rate-dependent temporal and pathobiological divergence. Schematic of the radiobiological trajectories underlying ARS and CRI as a function of dose rate, exposure pattern and temporal evolution. ARS results from HD or HDR irradiation, characterized by immediate energy deposition over hours to days, leading to apoptosis and necrosis, rapid tissue ablation, bone marrow failure and pronounced deterministic effects, such as gastrointestinal mucosal breakdown, cutaneous burns and neurovascular collapse-driven by acute cytokine release and systemic inflammatory responses. CRI arises from prolonged LDR or environmental exposure over months to years, typically delivered in a continuous or fractionated manner. This favors the accumulation of sublethal DNA damage, cellular senescence with activation of the SASP and persistent genomic instability. These processes promote chronic oxidative stress, tissue remodeling, progressive fibrosis, immune dysregulation and increased stochastic risks of carcinogenesis. ARS, acute radiation syndrome; CRI, chronic radiation injury; HDR, high-dose-rate; LDR, low-dose-rate; SASP, senescence-associated secretory phenotype.</p></caption>
<graphic xlink:href="ijmm-58-01-05863-g00.tif"/></fig>
<fig id="f2-ijmm-58-01-05863" position="float">
<label>Figure 2</label>
<caption>
<p>Role of oxidative stress signaling in mediating chronic radiation-induced systemic toxicity. Molecular cascades connecting chronic low-dose exposure to multi-organ pathology. Prolonged exposure to low-dose ionizing radiation drives the sustained accumulation of ROS, establishing a state of persistent oxidative stress and cumulative DNA damage. This oxidative burden serves as a master switch, concurrently activating distinct stress-response pathways: Upregulation of p53 signaling mediates cell cycle arrest and senescence, primarily contributing to hematopoietic stem cell exhaustion and immune dysfunction. Chronic activation of NF-&#x003BA;B propagates a pro-inflammatory microenvironment, driving tissue fibrosis and stochastic tumorigenesis. These molecular perturbations culminate in widespread cellular dysfunction, manifesting as clinical injury across the hematopoietic, immune, nervous and reproductive systems. ROS, reactive oxygen species.</p></caption>
<graphic xlink:href="ijmm-58-01-05863-g01.tif"/></fig>
<fig id="f3-ijmm-58-01-05863" position="float">
<label>Figure 3</label>
<caption>
<p>Chronic radiation injury: Organ-specific pathology and molecular drivers. Pathophysiological sequelae of protracted low-dose-rate exposure compared to acute injury. The hematopoietic compartment acts as the primary most sensitive biological indicator and early responder to radiation toxicity. Chronic stress drives HSC exhaustion and remodels the niche into an adipogenic (fatty marrow) state, leading to persistent cytopenia and regenerative failure. The immune microenvironment shifts toward a pro-inflammatory inflammaging state. Activated macrophages and senescent cells secrete SASP factors (IL-6, TNF-&#x003B1;) via the cGAS/STING pathway, creating a tumor-permissive environment. The unifying molecular mechanism involves a self-perpetuating cycle of mitochondrial dysfunction (ROS leakage) and genomic instability (&#x003B3;-H2AX accumulation). This triggers p53-mediated cell cycle arrest, driving the cell senescence that underlies systemic tissue dysfunction. The central nervous system exhibits microglial-mediated neuroinflammation. This results in synaptic stripping (loss of dendritic spines) in the hippocampus, manifesting clinically as cognitive rigidity and behavioral deficit. HSC, hematopoietic stem cell; SASP, senescence-associated secretory phenotype; TNF, tumor necrosis factor; ROS, reactive oxygen species; cGAS, cyclic GMP-AMP synthase; STING, stimulator of interferon genes.</p></caption>
<graphic xlink:href="ijmm-58-01-05863-g02.tif"/></fig>
<fig id="f4-ijmm-58-01-05863" position="float">
<label>Figure 4</label>
<caption>
<p>Methodological paradigms for modeling CRI: External beam irradiation, internal radionuclide exposure and non-targeted BE. Schematic of the principal experimental strategies used to model CRI <italic>in vivo</italic>, highlighting complementary approaches that capture distinct physical, dosimetric and biological dimensions of prolonged radiation exposure. (A) External beam irradiation models. WBI delivers a homogeneous dose to simulate systemic exposure scenarios such as nuclear accidents or unshielded occupational environments, enabling assessment of global hematopoietic and immune failure. PBI, achieved through physical shielding or image-guided precision platforms, restricts radiation to selected anatomical regions, allowing organ-specific injury (lung or brain) to be studied while sparing critical bone marrow compartments. (B) Internal exposure and radionuclide deposition. Internal contamination models reproduce biologically realistic exposure via inhalation, ingestion or wound entry of radionuclides, followed by tissue-specific deposition (bone, thyroid). These systems integrate radionuclide biokinetics, effective half-life, and LET and are indispensable for studying chronic low-dose-rate exposure and high-LET particle effects that cannot be mimicked by external beams. (C) RIBE. Non-targeted effects are demonstrated by intercellular signaling from irradiated target cells to non-irradiated bystander cells through ROS, cytokines and exosome-mediated communication, resulting in DNA damage and persistent stress responses in distal tissue. Collectively, these paradigms underscore the need for integrated modeling frameworks to capture the complexity of CRI, encompassing direct energy deposition, indirect microenvironmental signaling and long-term systemic consequences. CRI, chronic radiation injury; WBI, whole-body irradiation; PBI, partial-body irradiation; LET, linear energy transfer; RIBE, radiation-induced bystander effect; ROS, reactive oxygen species.</p></caption>
<graphic xlink:href="ijmm-58-01-05863-g03.tif"/></fig>
<fig id="f5-ijmm-58-01-05863" position="float">
<label>Figure 5</label>
<caption>
<p>Multilevel assessment hierarchy for characterizing systemic toxicity and hematopoietic dysfunction in chronic radiation injury models. Hierarchical strategy for evaluating the spectrum of radiation-induced injury across biological dimensions. Basic assessment (systemic health) monitors macroscopic physiological indicators including body weight trajectory, nutritional intake and locomotor activity, serving as early warning signs of functional decline and sickness behavior. Core assessment (hematological status) surveils the circulating compartment. Complete blood counts and flow cytometric profiling are used to identify specific cytopenias and lineage skewing within immune cell subsets, reflecting bone marrow integrity. Microscopic assessment (organ architecture) visualizes structural abnormalities in radiosensitive parenchymal organs (thymus, spleen, kidney). Histopathological analysis identifies defining morphological hallmarks, such as organ atrophy, fatty degeneration and the disruption of cortico-medullary boundaries. Molecular assessment (mechanistic drivers) assesses underlying biological initiators of toxicity. Assays for DNA damage (phosphorylated histone H2AX), oxidative stress and inflammatory cytokine profiles (ELISA) link observed phenotypic changes to molecular pathology. Collectively, these integrated assessments provide a high-resolution profile of exposure-induced dysfunction, bridging molecular mechanisms with organ-level pathology.</p></caption>
<graphic xlink:href="ijmm-58-01-05863-g04.tif"/></fig>
<fig id="f6-ijmm-58-01-05863" position="float">
<label>Figure 6</label>
<caption>
<p>Strategic alignment map for CRI animal model selection: Balancing mechanistic utility with translational relevance. Trade-off between experimental throughput (genetic utility) and physiological similarity to humans (face validity) when selecting animal models for CRI research. Mice offer unparalleled genetic manipulability (transgenic strains) and high-throughput screening capabilities, serving as the primary mechanistic workhorse despite lower physiological homology. Rats provide a balanced platform with larger physiological volumes suitable for surgical interventions and serial sampling, bridging the gap between molecular discovery and clinical relevance. Large animal models (minipigs and NHPs) exhibit high anatomical and immunological similarities that are key for pivotal preclinical validation. Minipigs serve as anatomical proxies for cutaneous and GI injury, while NHPs are the gold standard for assessing complex neuro-cognitive and immune outcomes. CRI, chronic radiation injury; GI, gastrointestinal; NHP, non-human primate.</p></caption>
<graphic xlink:href="ijmm-58-01-05863-g05.tif"/></fig>
<fig id="f7-ijmm-58-01-05863" position="float">
<label>Figure 7</label>
<caption>
<p>Multidimensional, closed-loop framework for establishing construct validity in chronic radiation injury models. Physiological assessment captures early systemic manifestations of radiation stress through longitudinal monitoring of the frailty index (body weight, activity levels, feeding behavior), distinguishing chronic wasting from acute transient toxicity. Hematological surveillance provides a dynamic readout of bone marrow integrity. Analysis focuses on lineage skewing (myeloid bias) and immunosenescence (T cell exhaustion) via flow cytometry, rather than simple pancytopenia. Histopathological architecture defines irreversible tissue remodeling at the microscopic level, characterized by organ atrophy, marrow adipogenesis and fibrotic degeneration quantified by digital pathology. Molecular interrogation establishes the mechanistic root of injury. This includes the detection of genomic instability (phosphorylated histone H2AX), oxidative stress and the systemic senescence-associated secretory phenotype signature (elevated IL-6, TGF-&#x003B2;) that drives the pathology. Macroscopic phenotypic abnormalities can be traced back to underlying molecular dysfunction. This closed-loop assessment confirms that the model recapitulates the progressive, non-linear pathology of human chronic radiation exposure.</p></caption>
<graphic xlink:href="ijmm-58-01-05863-g06.tif"/></fig>
<fig id="f8-ijmm-58-01-05863" position="float">
<label>Figure 8</label>
<caption>
<p>Translational roadmap: Bridging preclinical modeling and precision radioprotection. Validated animal models (minipigs, humanized mice) serve as the operational core for screening medical countermeasures. These high-fidelity systems provide efficacy data required by the FDA animal rule, bypassing the ethical constraints of human testing. Integration of spatial transcriptomics and artificial intelligence-driven deep phenotyping enhances the sensitivity of these models, allowing detection of subtle pathologies and the mapping of mechanism-based targets (such as senolytics). By leveraging digital twins (<italic>in silico</italic> models constructed from large multi-omics datasets), researchers can simulate long-term outcomes and design personalized radiation health passports for diverse risk groups, ranging from nuclear workers to deep-space astronauts. FDA, Food and Drug Administration; LDR, low-dose-rate.</p></caption>
<graphic xlink:href="ijmm-58-01-05863-g07.tif"/></fig>
<table-wrap id="tI-ijmm-58-01-05863" position="float">
<label>Table I</label>
<caption>
<p>Comparative pathophysiology: ARS vs. CRI.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" align="left">Feature</th>
<th valign="bottom" align="center">ARS</th>
<th valign="bottom" align="center">CRI</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Exposure pattern</td>
<td valign="top" align="left">High-dose, short duration (minutes to hours)</td>
<td valign="top" align="left">Low-dose-rate, protracted (months to years)</td></tr>
<tr>
<td valign="top" align="left">Primary cell fate</td>
<td valign="top" align="left">Apoptosis, necrosis (rapid cell loss)</td>
<td valign="top" align="left">Senescence, genomic instability, clonal expansion</td></tr>
<tr>
<td valign="top" align="left">Dominant mechanism</td>
<td valign="top" align="left">Direct DNA double-strand breaks, stem cell ablation</td>
<td valign="top" align="left">Oxidative stress cycles, inflammaging (SASP)</td></tr>
<tr>
<td valign="top" align="left">Latency period</td>
<td valign="top" align="left">Hours to weeks (immediate toxicity)</td>
<td valign="top" align="left">Months to decades</td></tr>
<tr>
<td valign="top" align="left">Hematopoietic response</td>
<td valign="top" align="left">Rapid pancytopenia (bone marrow failure)</td>
<td valign="top" align="left">Lineage skewing (myeloid bias), fatty marrow remodeling</td></tr>
<tr>
<td valign="top" align="left">Tissue remodeling</td>
<td valign="top" align="left">Acute inflammation, edema</td>
<td valign="top" align="left">Progressive fibrosis, extracellular matrix deposition</td></tr>
<tr>
<td valign="top" align="left">Carcinogenic risk</td>
<td valign="top" align="left">Deterministic (severity increases with dose)</td>
<td valign="top" align="left">Stochastic (probability increases with dose) accumulation</td></tr></tbody></table>
<table-wrap-foot>
<fn id="tfn1-ijmm-58-01-05863">
<p>ARS, acute radiation syndrome; CRI, chronic radiation injury; SASP, senescence-associated secretory phenotype.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tII-ijmm-58-01-05863" position="float">
<label>Table II</label>
<caption>
<p>Progression of chronic radiation injury.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" align="left">Phase</th>
<th valign="bottom" align="center">Time post-exposure</th>
<th valign="bottom" align="center">Biological events</th>
<th valign="bottom" align="center">Clinical manifestations</th>
<th valign="bottom" align="center">Detectable biomarkers</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Initial/latent</td>
<td valign="top" align="center">0-6 months</td>
<td valign="top" align="left">Mitochondrial dysfunction; ROS accumulation; DNA mis-repair; initiation of epigenetic drift</td>
<td valign="top" align="left">Largely asymptomatic; sub-clinical metabolic shifts; mild fatigue</td>
<td valign="top" align="left">&#x003B3;-H2AX foci (lymphocytes); 8-oxo-dG (urine); transient lymphocyte dip</td></tr>
<tr>
<td valign="top" align="left">Inflammatory</td>
<td valign="top" align="center">6-12 months</td>
<td valign="top" align="left">Onset of senescence-associated secretory phenotype; macrophage activation (M1 polarization); endothelial activation</td>
<td valign="top" align="left">Decreased exercise tolerance; recurrent mild infections; gut dysbiosis</td>
<td valign="top" align="left">Plasma IL-6, TNF-&#x003B1;; elevated CRP; upregulation of ICAM-1/VCAM-1</td></tr>
<tr>
<td valign="top" align="left">Fibrotic</td>
<td valign="top" align="center">1-2 years</td>
<td valign="top" align="left">Myofibroblast differentiation; excessive ECM deposition; capillary rarefaction; tissue stiffening</td>
<td valign="top" align="left">Pulmonary fibrosis (dyspnea); nephropathy (hypertension); malabsorption</td>
<td valign="top" align="left">TGF-&#x003B2;1; pro-collagen peptides (PIIINP); microalbuminuria; circulating miR (miR-21)</td></tr>
<tr>
<td valign="top" align="left">Degenerative</td>
<td valign="top" align="center">&gt;2 years</td>
<td valign="top" align="left">Stem cell exhaustion (senescence); clonal hematopoiesis; genomic instability threshold breached</td>
<td valign="top" align="left">Bone marrow failure (refractory anemia); cognitive decline; secondary malignancies (leukemia/solid tumors)</td>
<td valign="top" align="left">Shortened telomeres; p16<sup>INK4a</sup> expression; clonal mutations (DNMT3A); high frailty index score</td></tr></tbody></table>
<table-wrap-foot>
<fn id="tfn2-ijmm-58-01-05863">
<p>ROS, reactive oxygen species; CRP, C-reactive protein; ICAM-1, intercellular adhesion molecule 1; VCAM-1, vascular cell adhesion molecule 1; ECM, extracellular matrix; PIIINP, procollagen III N-terminal peptide; miR, microRNA; Dnmt3a, DNA methyltransferase 3A.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tIII-ijmm-58-01-05863" position="float">
<label>Table III</label>
<caption>
<p>Methodological paradigms for modeling chronic radiation exposure.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Modeling paradigm</th>
<th valign="top" align="left">Methodology description</th>
<th valign="top" align="left">Strengths (construct validity)</th>
<th valign="top" align="left">Weaknesses/confounders</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Whole-body irradiation</td>
<td valign="top" align="left">Homogeneous exposure of the entire organism</td>
<td valign="top" align="left">Simulates systemic fallout/accidents; captures multi-organ failure</td>
<td valign="top" align="left">GI toxicity typically precedes chronic fibrosis; uneven dosimetry</td></tr>
<tr>
<td valign="top" align="left">Partial-body irradiation</td>
<td valign="top" align="left">Targeted exposure (such as the thorax) with shielding</td>
<td valign="top" align="left">Spares bone marrow; allows study of specific organ failure (such as the lung)</td>
<td valign="top" align="left">Lacks systemic immune-endocrine interaction (abscopal effects)</td></tr>
<tr>
<td valign="top" align="left">Internal contamination</td>
<td valign="top" align="left">Injection/ingestion of radionuclides (<sup>90</sup>Sr, <sup>137</sup>Cs)</td>
<td valign="top" align="left">Biologically faithful to nuclear inhalation/ingestion scenarios</td>
<td valign="top" align="left">Complex dosimetry; disposal of radioactive biological waste</td></tr>
<tr>
<td valign="top" align="left">Continuous LDR facility</td>
<td valign="top" align="left">Isodose cages within a &#x003B3;-source field</td>
<td valign="top" align="left">Decouples dose-rate from total dose; mimics occupational exposure</td>
<td valign="top" align="left">Resource-intensive; requires dedicated long-term facilities</td></tr>
<tr>
<td valign="top" align="left">Combined injury</td>
<td valign="top" align="left">Radiation + burn/wound/sepsis</td>
<td valign="top" align="left">Replicates real-world catastrophe scenarios (synergistic lethality)</td>
<td valign="top" align="left">High mortality rate complicates study of late-term chronic effects</td></tr></tbody></table>
<table-wrap-foot>
<fn id="tfn3-ijmm-58-01-05863">
<p>GI, gastrointestinal; LDR, low-dose-rate.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tIV-ijmm-58-01-05863" position="float">
<label>Table IV</label>
<caption>
<p>Strategic selection of animal models based on physiological homology and research goal.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" align="left">Model</th>
<th valign="bottom" align="center">Advantages</th>
<th valign="bottom" align="center">Limitations</th>
<th valign="bottom" align="center">Recommended application</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Mouse (C57BL/6)</td>
<td valign="top" align="left">High availability of transgenic and knockout strains; Th1-dominant immune response</td>
<td valign="top" align="left">Small size limits localized dosimetry; high metabolic rate</td>
<td valign="top" align="left">Mechanistic studies (fibrosis), genetic knockout</td></tr>
<tr>
<td valign="top" align="left">Mouse (BALB/c)</td>
<td valign="top" align="left">Th2-dominant; high radiosensitivity to solid tumors</td>
<td valign="top" align="left">Prone to radiation-induced pleural effusion</td>
<td valign="top" align="left">Carcinogenesis, solid tumor induction</td></tr>
<tr>
<td valign="top" align="left">Rat</td>
<td valign="top" align="left">Larger blood volume; hemodynamics similar to humans</td>
<td valign="top" align="left">Fewer transgenic strains compared with mice</td>
<td valign="top" align="left">Cardiovascular toxicity, renal injury, serial sampling</td></tr>
<tr>
<td valign="top" align="left">Minipig</td>
<td valign="top" align="left">Anatomical/physiological homology (skin, GI tract)</td>
<td valign="top" align="left">High cost; specialized housing required</td>
<td valign="top" align="left">Cutaneous radiation injury, translational GI toxicity</td></tr>
<tr>
<td valign="top" align="left">Non-human primate</td>
<td valign="top" align="left">High genetic homology (&gt;98%); complex cognition</td>
<td valign="top" align="left">Ethical constraints; prohibitive cost; low throughput</td>
<td valign="top" align="left">Neurobehavioral deficit, FDA animal rule validation</td></tr></tbody></table>
<table-wrap-foot>
<fn id="tfn4-ijmm-58-01-05863">
<p>GI, gastrointestinal; NHP, non-human primate; FDA, Food and Drug Administration.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tV-ijmm-58-01-05863" position="float">
<label>Table V</label>
<caption>
<p>Multidimensional validation matrix for establishing CRI models.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th colspan="3" valign="top" align="left">A, Physiological
<hr/></th></tr>
<tr>
<th valign="bottom" align="left">Validation parameter</th>
<th valign="bottom" align="center">Assessment method/metric</th>
<th valign="bottom" align="center">Expected pathological shift (CRI phenotype)</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Frailty and metabolism</td>
<td valign="top" align="left">FI score</td>
<td valign="top" align="left">Increased FI score; wasting phenotype (cachexia)</td></tr>
<tr>
<td valign="top" align="left">Neurobehavioral</td>
<td valign="top" align="left">Open-field/water maze</td>
<td valign="top" align="left">Decreased locomotor velocity; spatial memory deficit</td></tr>
<tr>
<td colspan="3" valign="top" align="left">
<hr/></td></tr>
<tr>
<td colspan="3" valign="top" align="left">B, Hematological</td></tr>
<tr>
<td colspan="3" valign="top" align="left">
<hr/></td></tr>
<tr>
<td valign="top" align="left">Validation parameter</td>
<td valign="top" align="center">Assessment method/metric</td>
<td valign="top" align="center">Expected pathological shift (CRI phenotype)</td></tr>
<tr>
<td colspan="3" valign="top" align="left">
<hr/></td></tr>
<tr>
<td valign="top" align="left">Lineage integrity</td>
<td valign="top" align="left">CBC and flow cytometry</td>
<td valign="top" align="left">Myeloid skewing (increased granulocytes, decreased lymphocytes); anemia</td></tr>
<tr>
<td valign="top" align="left">Immunosenescence</td>
<td valign="top" align="left">T cell exhaustion markers (PD-1 and Tim-3)</td>
<td valign="top" align="left">CD4/CD8 inversion; PD-1<sup>+</sup> and Tim-3<sup>+</sup> upregulation</td></tr>
<tr>
<td colspan="3" valign="top" align="left">
<hr/></td></tr>
<tr>
<td colspan="3" valign="top" align="left">C, Histological</td></tr>
<tr>
<td colspan="3" valign="top" align="left">
<hr/></td></tr>
<tr>
<td valign="top" align="left">Validation parameter</td>
<td valign="top" align="center">Assessment method/metric</td>
<td valign="top" align="center">Expected pathological shift (CRI phenotype)</td></tr>
<tr>
<td colspan="3" valign="top" align="left">
<hr/></td></tr>
<tr>
<td valign="top" align="left">Tissue architecture</td>
<td valign="top" align="left">Masson's trichrome/Sirius Red</td>
<td valign="top" align="left">Increased collagen volume fraction (fibrosis)</td></tr>
<tr>
<td valign="top" align="left">Marrow niche</td>
<td valign="top" align="left">Adipocyte count (H&amp;E)</td>
<td valign="top" align="left">Fatty marrow replacement of cellularity</td></tr>
<tr>
<td colspan="3" valign="top" align="left">
<hr/></td></tr>
<tr>
<td colspan="3" valign="top" align="left">D, Molecular</td></tr>
<tr>
<td colspan="3" valign="top" align="left">
<hr/></td></tr>
<tr>
<td valign="top" align="left">Validation parameter</td>
<td valign="top" align="center">Assessment method/metric</td>
<td valign="top" align="center">Expected pathological shift (CRI phenotype)</td></tr>
<tr>
<td colspan="3" valign="top" align="left">
<hr/></td></tr>
<tr>
<td valign="top" align="left">Genomic instability</td>
<td valign="top" align="left">&#x003B3;-H2AX/53BP1 foci</td>
<td valign="top" align="left">Persistent foci in circulating lymphocytes (repair failure)</td></tr>
<tr>
<td valign="top" align="left">SASP signature</td>
<td valign="top" align="left">ELISA/multiplex immunoassay</td>
<td valign="top" align="left">Elevated IL-6, IL-1&#x003B2;, MMPs; decreased IGF-1</td></tr></tbody></table>
<table-wrap-foot>
<fn id="tfn5-ijmm-58-01-05863">
<p>FI, frailty index; CBC, complete blood count; H&amp;E, hematoxylin and eosin; SASP, senescence-associated secretory phenotype; IGF-1, insulin-like growth factor 1; 53BP1, p53-binding protein 1; CRI, chronic radiation injury; Tim-3, T-cell immunoglobulin and mucin domain-containing protein 3.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tVI-ijmm-58-01-05863" position="float">
<label>Table VI</label>
<caption>
<p>Alignment of CRI animal models with FDA animal rule criteria.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" align="left">FDA criterion</th>
<th valign="bottom" align="center">Requirement for CRI models</th>
<th valign="bottom" align="center">Challenges in modeling</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Mechanism of toxicity</td>
<td valign="top" align="left">Pathophysiology of the radiation injury in the animal model must be well-understood and sufficiently overlap with the human disease mechanism.</td>
<td valign="top" align="left">Differentiating between specific direct radiation toxicity and natural aging-associated decline in long-duration studies requires robust age-matched controls</td></tr>
<tr>
<td valign="top" align="left">Effect prediction</td>
<td valign="top" align="left">Effect of the countermeasure in the animal species must be demonstrated to predict the response in humans</td>
<td valign="top" align="left">Species-specific differences in immune surveillance and DNA repair kinetics (mice repair DNA faster than humans) complicate direct translation of efficacy</td></tr>
<tr>
<td valign="top" align="left">Dose selection</td>
<td valign="top" align="left">Study must provide sufficient pharmacokinetic and pharmacodynamic data to select an effective dose for humans</td>
<td valign="top" align="left">Establishing a human equivalent dose for chronic LDR exposure is difficult due to the variability of human exposure scenarios (spaceflight vs. occupational).</td></tr>
<tr>
<td valign="top" align="left">GLP</td>
<td valign="top" align="left">Studies must be conducted under rigorous GLP conditions to ensure data integrity and quality assurance</td>
<td valign="top" align="left">Long-duration studies (1-2 years) face high risk of attrition (animal death from non-radiation causes), which can compromise statistical power and GLP compliance</td></tr></tbody></table>
<table-wrap-foot>
<fn id="tfn6-ijmm-58-01-05863">
<p>CRI, chronic radiation injury; FDA, Food and Drug Administration; LDR, low-dose-rate; GLP, good laboratory practice.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tVII-ijmm-58-01-05863" position="float">
<label>Table VII</label>
<caption>
<p>Translational frontiers: Therapeutic targets and biomarkers for precision radioprotection.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" align="left">Pathological driver</th>
<th valign="bottom" align="center">Molecular target</th>
<th valign="bottom" align="center">Candidate diagnostic biomarker</th>
<th valign="bottom" align="center">Intervention</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Senescence (SASP)</td>
<td valign="top" align="left"><italic>p</italic>16<sup>INK4a</sup>, <italic>p</italic>21<sup>Cip1</sup>, NF-&#x003BA;B</td>
<td valign="top" align="left">Plasma IL-6, TNF-&#x003B1;, GDF-15</td>
<td valign="top" align="left">Senolytics (navitoclax, quercetin) to clear senescent cells</td></tr>
<tr>
<td valign="top" align="left">Oxidative stress</td>
<td valign="top" align="left">Nrf2/ARE pathway, mitochondria</td>
<td valign="top" align="left">Urinary 8-oxo-dG, lipid peroxides (MDA)</td>
<td valign="top" align="left">Mito-protectants; microbiome modulation (probiotics)</td></tr>
<tr>
<td valign="top" align="left">Fibrotic remodeling</td>
<td valign="top" align="left">TGF-&#x003B2;1/Smad signaling</td>
<td valign="top" align="left">Circulating pro-collagen peptides, miR-21</td>
<td valign="top" align="left">Anti-fibrotics; epigenetic modifiers (HDAC inhibitors)</td></tr>
<tr>
<td valign="top" align="left">HSC exhaustion</td>
<td valign="top" align="left">c-Kit, CXCL12</td>
<td valign="top" align="left">Circulating CD34<sup>+</sup> count, miR-150</td>
<td valign="top" align="left">Niche rejuvenation; extracellular vesicle therapy</td></tr>
<tr>
<td valign="top" align="left">Genomic instability</td>
<td valign="top" align="left">DNA repair (ATM, PARP)</td>
<td valign="top" align="left">Cell-free DNA concentration</td>
<td valign="top" align="left">Precision radioprotection guided by genetic screening (DO mice)</td></tr></tbody></table>
<table-wrap-foot>
<fn id="tfn7-ijmm-58-01-05863">
<p>SASP, senescence-associated secretory phenotype; GDF-15, growth differentiation factor 15; MDA, malondialdehyde; HDAC, histone deacetylase; HSC, hematopoietic stem cell; DO, diversity outbred; miR, microRNA; ATM, Ataxia-Telangiectasia Mutated kinase.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
