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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Aging</journal-id>
<journal-title-group>
<journal-title>Frontiers in Aging</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Aging</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2673-6217</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="publisher-id">1752160</article-id>
<article-id pub-id-type="doi">10.3389/fragi.2026.1752160</article-id>
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<article-categories>
<subj-group subj-group-type="heading">
<subject>Review</subject>
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<title-group>
<article-title>The tight bond between Fanconi anemia and aging</article-title>
<alt-title alt-title-type="left-running-head">Mej&#xed;a-Barrera et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fragi.2026.1752160">10.3389/fragi.2026.1752160</ext-link>
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<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Mej&#xed;a-Barrera</surname>
<given-names>Marco Antonio</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
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<name>
<surname>Mart&#xed;nez-Torres</surname>
<given-names>Enya Enara</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
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<name>
<surname>Ju&#x00E1;rez-Figueroa</surname>
<given-names>Ulises</given-names>
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<sup>1</sup>
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<name>
<surname>Torres</surname>
<given-names>Leda</given-names>
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<sup>1</sup>
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<name>
<surname>Fiesco-Roa</surname>
<given-names>Mois&#xe9;s O.</given-names>
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<sup>1</sup>
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<surname>Garc&#xed;a-de-Teresa</surname>
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<sup>1</sup>
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<name>
<surname>Gomez-Verjan</surname>
<given-names>Juan Carlos</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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<contrib contrib-type="author">
<name>
<surname>Mel&#xe9;ndez-Zajgla</surname>
<given-names>Jorge</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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<name>
<surname>Rodr&#xed;guez</surname>
<given-names>Alfredo</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
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<xref ref-type="aff" rid="aff6">
<sup>6</sup>
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<surname>S&#xe1;nchez</surname>
<given-names>Silvia</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<surname>Molina</surname>
<given-names>Bertha</given-names>
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<sup>1</sup>
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<name>
<surname>Frias</surname>
<given-names>Sara</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<xref ref-type="aff" rid="aff5">
<sup>5</sup>
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<aff id="aff1">
<label>1</label>
<institution>Laboratorio de Citogen&#xe9;tica, Instituto Nacional de Pediatr&#xed;a (INP)</institution>, <city>Mexico City</city>, <country country="MX">Mexico</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Posgrado en Ciencias Biol&#x00F3;gicas, Universidad Nacional Aut&#xf3;noma de M&#xe9;xico</institution>, <city>Mexico City</city>, <country country="MX">Mexico</country>
</aff>
<aff id="aff3">
<label>3</label>
<institution>Instituto Nacional de Geriatr&#xed;a (INGER)</institution>, <city>Mexico City</city>, <country country="MX">Mexico</country>
</aff>
<aff id="aff4">
<label>4</label>
<institution>Laboratorio de Gen&#xf3;mica Funcional del C&#xe1;ncer, Instituto Nacional de Medicina Gen&#xf3;mica</institution>, <city>Mexico City</city>, <country country="MX">Mexico</country>
</aff>
<aff id="aff5">
<label>5</label>
<institution>Departamento de Medicina Gen&#xf3;mica y Toxicolog&#xed;a Ambiental, Instituto de Investigaciones Biom&#xe9;dicas, Universidad Nacional Aut&#xf3;noma de M&#xe9;xico</institution>, <city>Mexico City</city>, <country country="MX">Mexico</country>
</aff>
<aff id="aff6">
<label>6</label>
<institution>Laboratorio de Falla Medular y Carcinog&#xe9;nesis, Instituto Nacional de Pediatr&#xed;a</institution>, <city>Mexico City</city>, <country country="MX">Mexico</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Sara Frias, <email xlink:href="mailto:sarafrias@iibiomedicas.unam.mx">sarafrias@iibiomedicas.unam.mx</email>
</corresp>
<fn fn-type="equal" id="fn001">
<label>&#x2020;</label>
<p>These authors contributed equally to this work</p>
</fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-24">
<day>24</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>7</volume>
<elocation-id>1752160</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>21</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Mej&#xed;a-Barrera, Mart&#xed;nez-Torres, Ju&#x00E1;rez-Figueroa, Torres, Fiesco-Roa, Garc&#xed;a-de-Teresa, Gomez-Verjan, Mel&#xe9;ndez-Zajgla, Rodr&#xed;guez, S&#xe1;nchez, Molina and Frias.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Mej&#xed;a-Barrera, Mart&#xed;nez-Torres, Ju&#x00E1;rez-Figueroa, Torres, Fiesco-Roa, Garc&#xed;a-de-Teresa, Gomez-Verjan, Mel&#xe9;ndez-Zajgla, Rodr&#xed;guez, S&#xe1;nchez, Molina and Frias</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-24">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<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/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>Fanconi anemia (FA) is a rare genetic disorder characterized by genomic instability, bone marrow failure, physical abnormalities, and increased cancer susceptibility. Growing evidence suggests that. FA may represent a progeroid syndrome, displaying features of accelerated aging at the cellular and molecular levels. This review examines the cellular and molecular characteristics of FA in the context of the established hallmarks of aging, supporting the hypothesis that FA constitutes a premature aging disorder. The hallmarks of aging, classified as primary, antagonistic, and integrative, are highly interconnected and mutually influential. FA cells exhibit primary hallmarks such as; genomic instability, telomere attrition, epigenetic alterations, and dysregulated autophagy. Antagonistic hallmarks, including cellular senescence, mitochondrial dysfunction, and altered; nutrient sensing, are also evident. Integrative hallmarks, such as stem cell exhaustion, altered; intercellular communication, chronic inflammation, and dysbiosis, arise as downstream consequences of the accumulated primary and antagonistic damage. The presence of these hallmarks, together with the early onset of clinical manifestations such as bone marrow failure, cancer, and premature menopause, strongly supports the notion that FA involves accelerated aging. Although patients with FA lacks the overt physical features typical of other progeroid syndromes, its clinical, cellular, and molecular abnormalities demonstrate a strong association with age-related decline, making FA a valuable model of premature aging. Despite limited experimental evidence directly demonstrating accelerated aging, this review highlights the molecular mechanisms linking FA and aging and identifies understudied areas that warrant further investigation.</p>
</abstract>
<kwd-group>
<kwd>aging</kwd>
<kwd>chromosomal instability</kwd>
<kwd>DNA damage</kwd>
<kwd>Fanconi anemia</kwd>
<kwd>hallmarks of aging</kwd>
<kwd>progeroid diseases</kwd>
</kwd-group>
<funding-group>
<award-group id="gs1">
<funding-source id="sp1">
<institution-wrap>
<institution>Direcci&#xf3;n General de Asuntos del Personal Acad&#xe9;mico, Universidad Nacional Aut&#xf3;noma de M&#xe9;xico</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/501100006087</institution-id>
</institution-wrap>
</funding-source>
<award-id rid="sp1">IN205120</award-id>
</award-group>
<award-group id="gs2">
<funding-source id="sp2">
<institution-wrap>
<institution>Instituto Nacional de Pediatria</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/100016928</institution-id>
</institution-wrap>
</funding-source>
<award-id rid="sp2">2020/012</award-id>
<award-id rid="sp2">2020/053</award-id>
</award-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This research was funded by Secretar&#xed;a de Ciencia, Humanidades, Tecnolog&#xed;a e Innovaci&#xf3;n (SECIHTI) grant number CF-2023-G-800; Direcci&#xf3;n General de Asuntos del Personal Acad&#xe9;mico, Universidad Nacional Aut&#xf3;noma de M&#xe9;xico, UNAM-PAPIIT, grant number IN205120; Instituto Nacional de Pediatr&#xed;a, Recursos Fiscales, Projects 2020/012 and 2020/053. MAM-B and EEM-T were supported by postgraduate fellowships from the Secretar&#xed;a de Ciencia, Humanidades, Tecnolog&#xed;a e Innovaci&#xf3;n (SECIHTI), numbers 705272 and 1281819, respectively.</funding-statement>
</funding-group>
<counts>
<fig-count count="5"/>
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<ref-count count="167"/>
<page-count count="17"/>
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<meta-name>section-at-acceptance</meta-name>
<meta-value>Genetics, Genomics and Epigenomics of Aging</meta-value>
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</front>
<body>
<sec id="s1">
<label>1</label>
<title>Fanconi anemia</title>
<p>FA is a genetic syndrome with a prevalence in the United States (USA) of 1&#x2013;5 cases per million live births and a carrier frequency of approximately 1:257&#x2013;300 (<xref ref-type="bibr" rid="B146">Swift, 1971</xref>; <xref ref-type="bibr" rid="B128">Rosenberg et al., 2011</xref>). The disease was first described by the Swiss pediatrician Guido Fanconi, who reported a family with three affected siblings presenting with skin hyperpigmentation, growth retardation, hyperreflexia, microcephaly, genital hypoplasia, skeletal alterations of the thumb and radius, and aplastic anemia (<xref ref-type="bibr" rid="B37">Fanconi, 1927</xref>). Pathogenic variants (PV) in any of at least 23 FA/BRCA (Fanconi anemia/Breast cancer) pathway genes, nominated <italic>FANCA</italic> through <italic>FANCX</italic> (<xref ref-type="bibr" rid="B42">Garc&#xed;a-de-Teresa et al., 2020</xref>; <xref ref-type="bibr" rid="B67">HUGO Gene Nomenclature Committee, 2023</xref>; <xref ref-type="bibr" rid="B79">Kuehl et al., 2025</xref>) (see <xref ref-type="sec" rid="s11">Supplementary Table S1</xref>), cause FA. Most of these genes exhibit an autosomal recessive inheritance pattern, except for <italic>FANCB</italic>, which is X-linked, and <italic>FANCR/RAD51</italic>, which follows an autosomal dominant pattern (<xref ref-type="bibr" rid="B42">Garc&#xed;a-de-Teresa et al., 2020</xref>; <xref ref-type="bibr" rid="B79">Kuehl et al., 2025</xref>). The FA/BRCA pathway is responsible for detecting and repairing DNA interstrand crosslinks (ICLs), highly deleterious lesions that impede essential cellular processes such as DNA replication and transcription (<xref ref-type="bibr" rid="B135">Semlow and Walter, 2021</xref>).</p>
<sec id="s1-1">
<label>1.1</label>
<title>Physical, hematologic, and oncologic FA phenotype</title>
<p>The FA phenotype has been extensively characterized at the clinical level through direct observation of patient features. At the molecular and cellular levels, experimental insights into FA pathophysiology have been obtained <italic>ex vivo</italic> from patient-derived cells, as well as from a variety of experimental models. Primary human samples, including non-immortalized peripheral blood cells and patient-derived fibroblasts harboring pathogenic variants in individual <italic>FANC</italic> genes, enable the direct investigation of cellular states while preserving phenotypic heterogeneity (<xref ref-type="bibr" rid="B5">Auerbach, 2009</xref>; <xref ref-type="bibr" rid="B70">Joksic et al., 2012</xref>). In parallel, cellular models with targeted disruption of specific <italic>FANC</italic> genes, generated in established cell lines or primary cultures, provide a controlled experimental framework in which wild-type <italic>FANC</italic> genes can be reintroduced to functionally complement the defect, allowing direct comparisons under identical conditions (<xref ref-type="bibr" rid="B107">Nguyen et al., 2023</xref>). Finally, genetically engineered murine models carrying complete loss-of-function (knockout, &#x2212;/&#x2212;) or partial loss-of-function (knockdown) alleles recapitulate specific cellular, and molecular features of the disease (<xref ref-type="bibr" rid="B6">Bakker et al., 2013</xref>; <xref ref-type="bibr" rid="B115">Parmar et al., 2009</xref>). Collectively, these complementary models have been instrumental in delineating the molecular mechanisms underlying the physical, hematologic, and oncologic manifestations of the FA phenotype described below.</p>
<p>FA represents the most common hereditary bone marrow failure (BMF) syndrome (<xref ref-type="bibr" rid="B39">Fiesco-Roa et al., 2019</xref>; <xref ref-type="bibr" rid="B138">Shimamura and Alter, 2010</xref>). The FA phenotype is typically divided into three major categories: 1. Physical abnormalities, 2. Hematologic disorders, 3. Cancer predisposition (<xref ref-type="bibr" rid="B42">Garc&#xed;a-de-Teresa et al., 2020</xref>).</p>
<sec id="s1-1-1">
<label>1.1.1</label>
<title>Physical abnormalities</title>
<p>Physical anomalies in FA can affect virtually all organs and systems, resulting in highly variable phenotypic presentations (<xref ref-type="bibr" rid="B65">Hoover et al., 2024</xref>). Literature reviews indicate that nearly 80% of patients exhibit at least one physical feature encompassed within the VACTERL-H (Vertebral, Anal, Cardiac, Tracheo-Esophageal, Renal, Limbs, Hydrocephalus) and PHENOS (Pigmentation of the skin, small Head, Eyes, Neurological, Otological, Short stature) acronyms (<xref ref-type="bibr" rid="B39">Fiesco-Roa et al., 2019</xref>).</p>
<p>In comprehensively evaluated patients, Altintas et al., described the most frequent features in the Clinic Cohort of the National Cancer Institute in USA: Skin pigmentation abnormalities (82%), Small eyes (82%), Radial ray abnormalities (60%), Otological abnormalities (56%), Microcephaly (50%), Short stature (49%), Renal malformations (37%), Neurostructural abnormalities (37%), Cardiac abnormalities (32%) (<xref ref-type="bibr" rid="B4">Altintas et al., 2023</xref>).</p>
<p>Skin pigmentation abnormalities are particularly notable and warrant interpretation in the context of aging. While Ultraviolet (UV) light exposure is the principal exogenous factor contributing to photoaging in the general population (<xref ref-type="bibr" rid="B73">Kim et al., 2022</xref>), pigmentary changes in FA are not limited to sun-exposed areas (<xref ref-type="bibr" rid="B130">Ruggiero et al., 2021</xref>). This observation suggests that intrinsic mechanisms, such as defective DNA repair FA/BRCA pathway and the accumulation of genomic instability, may also play a role (<xref ref-type="bibr" rid="B42">Garc&#xed;a-de-Teresa et al., 2020</xref>). Furthermore, increasing evidence highlights the role of cellular senescence in skin aging (<xref ref-type="bibr" rid="B73">Kim et al., 2022</xref>). FA cells that fail to repair DNA damage may acquire genomic instability that may conduct to senescence (<xref ref-type="bibr" rid="B129">Rosselli et al., 2003</xref>). Thus, the pigmentary phenotype observed in FA could reflect molecular processes such as senescence and genome instability that are present in aging.</p>
</sec>
<sec id="s1-1-2">
<label>1.1.2</label>
<title>Hematological disorders</title>
<p>The reduced DNA repair capacity in FA leads to cumulative damage and hematopoietic stem cell depletion, a hallmark feature of the disease (<xref ref-type="bibr" rid="B11">Behrens et al., 2014</xref>; <xref ref-type="bibr" rid="B27">Ceccaldi et al., 2012</xref>; <xref ref-type="bibr" rid="B33">Domenech et al., 2018</xref>). Depletion of hematopoietic stem and progenitor cells (HSPC) in patients with FA starts as early as intrauterine life (<xref ref-type="bibr" rid="B33">Domenech et al., 2018</xref>); Consequently, approximately 90% of FA patients develop hematologic abnormalities by age 40 (<xref ref-type="bibr" rid="B81">Kutler et al., 2003</xref>), with a median age of bone marrow failure onset of 6.6 years (<xref ref-type="bibr" rid="B4">Altintas et al., 2023</xref>). The hematologic spectrum ranges from asymptomatic cytopenia to severe aplastic anemia (AA), myelodysplastic neoplasia (MDS), which has a cumulative incidence of 50% in FA patients aged 50 years and acute myeloid leukemia (AML), with a cumulative incidence of 5% by age 30 (<xref ref-type="bibr" rid="B3">Alter et al., 2018</xref>). Macrocytosis is another common feature, present in approximately 90% of patients with FA during early infancy or childhood (<xref ref-type="bibr" rid="B127">Rogers, 2020</xref>).</p>
<p>In normal aging, bone marrow cellularity declines from approximately 60% at 20 years of age to about 30% by 70 years, with hematopoiesis becoming progressively restricted to the lower vertebrae, pelvis, and sternum, accompanied by increased marrow adipogenesis (<xref ref-type="bibr" rid="B162">Zhao et al., 2021</xref>; <xref ref-type="bibr" rid="B120">Ricci et al., 1990</xref>). Aged human pluripotent stem cells (HPSCs) exhibit a bias toward myeloid differentiation, and transcriptional upregulation of genes associated with myeloid hematologic malignancies (<xref ref-type="bibr" rid="B162">Zhao et al., 2021</xref>; <xref ref-type="bibr" rid="B114">Pang et al., 2011</xref>).</p>
<p>In patients with FA these alterations occur decades earlier and with greater severity, they develop profound bone marrow hypocellularity and pancytopenia, at a median age of &#x223c;7 years, reflecting accelerated HPSC exhaustion; indeed, a reduced marrow cellularity has been detected as early as embryonic development in FA (<xref ref-type="bibr" rid="B27">Ceccaldi et al., 2012</xref>; <xref ref-type="bibr" rid="B33">Domenech et al., 2018</xref>), and clonal evolution mainly toward myeloid malignancies may emerge before the third decade of life (<xref ref-type="bibr" rid="B3">Alter et al., 2018</xref>). Notably, while aging-associated myeloid skewing of hematopoietic stem cells (HSCs) is a well-established feature of normal aging, a comparable intrinsic myeloid bias has only been demonstrated in FA murine models. Young Fancd2<sup>&#x2212;/&#x2212;</sup> Aldh2<sup>&#x2212;/&#x2212;</sup> mice display an HSC transcriptomic signature resembling that of aged wild-type HSCs, characterized by p53 activation and enrichment of myeloid-biased HSCs, providing mechanistic evidence that FA-associated genome instability can drive premature aging-like hematopoietic programs (<xref ref-type="bibr" rid="B155">Wang et al., 2023</xref>).</p>
</sec>
<sec id="s1-1-3">
<label>1.1.3</label>
<title>Susceptibility to the development of cancer</title>
<p>Patients with FA have a markedly increased risk of developing neoplasia at an early age. The most frequent cancers are AML and squamous cell carcinomas of the head and neck and the female genital tract, with rates hundreds of times higher than those in the general population (<xref ref-type="bibr" rid="B3">Alter et al., 2018</xref>). A study by Alter et al., which included data from the National Cancer Institute Inherited Bone Marrow Failure Syndromes Cohort, revealed the following relative risks among FA patients compared with people without FA: &#x223c;600 for head and neck squamous cell carcinoma (HNSCC), &#x223c;200 for AML, &#x223c;600 for vulvar squamous cell carcinoma (SCC), &#x223c;6,000 for MDS (<xref ref-type="bibr" rid="B3">Alter et al., 2018</xref>).</p>
<p>Importantly, the age of onset for these cancers is significantly earlier in patients with FA. In the general population, the median age at cancer diagnosis is 66 years (<xref ref-type="bibr" rid="B106">National Cancer Institute, 2025</xref>). Specifically, AML typically arises between 66 and 71 years of age, and cases before age 45 are rare (<xref ref-type="bibr" rid="B104">Nagel et al., 2017</xref>). In contrast, FA patients develop AML at a median age of 17 years (<xref ref-type="bibr" rid="B3">Alter et al., 2018</xref>). Likewise, non-virus-associated HNSCC occurs at a median age of 66 years in the general population, but at 37 years in individuals with FA (<xref ref-type="bibr" rid="B3">Alter et al., 2018</xref>; <xref ref-type="bibr" rid="B69">Johnson et al., 2020</xref>). These findings demonstrate that malignancies typically observed after the fifth decade of life appear in FA individuals about 3&#xa0;decades before, indicating a markedly early onset of cancer and further reinforcing the concept of accelerated aging in this population.</p>
</sec>
</sec>
</sec>
<sec id="s2">
<label>2</label>
<title>Aging and progeroid syndromes</title>
<p>There is no single, universally accepted definition of aging, reflecting the diversity of conceptual and methodological approaches to this process (<xref ref-type="bibr" rid="B85">Lemoine, 2020</xref>). The World Health Organization (WHO) defines aging as the result of the cumulative impact of a wide range of molecular and cellular damage over time, leading to a progressive decline in physical and mental capacity, an increased risk of disease, and ultimately death (<xref ref-type="bibr" rid="B156">World Health Organization, 2022</xref>). Across the heterogeneity of definitions, most definitions converge on two core features: 1) the progressive accumulation of damage over time (<xref ref-type="bibr" rid="B64">Hoeijmakers, 2009</xref>; <xref ref-type="bibr" rid="B53">Harman, 2006</xref>; <xref ref-type="bibr" rid="B89">Lombard et al., 2005</xref>) and 2) the associated functional decline with increased susceptibility to disease and mortality (<xref ref-type="bibr" rid="B91">L&#xf3;pez-Ot&#xed;n et al., 2013</xref>; <xref ref-type="bibr" rid="B74">Kirkwood and Austad, 2000</xref>; <xref ref-type="bibr" rid="B75">Kirkwood and Rose, 1991</xref>). In contrast, several aspects of aging remain incompletely resolved, including the extent to which aging is reversible. Notably, accumulating evidence indicates that certain genetic, pharmacological, and dietary interventions can delay aging phenotypes, challenging the notion of aging as a strictly unidirectional process (<xref ref-type="bibr" rid="B143">Spadaro et al., 2022</xref>; <xref ref-type="bibr" rid="B14">Bernardes de Jesus et al., 2012</xref>).</p>
<p>Progeroid syndromes (PSs) comprise a group of rare genetic disorders characterized by an accelerated aging phenotype that closely mimics physiological aging (<xref ref-type="bibr" rid="B57">Hennekam, 2020</xref>; <xref ref-type="bibr" rid="B121">Rieckher et al., 2021</xref>). The term <italic>progeroid</italic> means &#x201c;resembling progeria,&#x201d; derived from the Greek words <italic>pro</italic> and <italic>geras</italic>, meaning &#x201c;before old age&#x201d; (<xref ref-type="bibr" rid="B12">Bejaoui et al., 2023</xref>). PSs, such as Werner syndrome, Hutchinson&#x2013;Gilford progeria syndrome, mandibuloacral dysplasia, Nestor&#x2013;Guillermo progeria syndrome, restrictive dermopathy, ataxia telangiectasia, Bloom syndrome, Cockayne syndrome, Nijmegen breakage syndrome, and Seckel syndrome, exhibit a wide spectrum of pathological manifestations. These clinical features parallel those observed in natural aging and include alopecia, hearing and vision loss, tissue atrophy, skin ulceration, cardiovascular abnormalities, osteoporosis, progressive neurodegeneration, reduced bone marrow cellularity, genomic instability, and an increased susceptibility to cancer. The pathogenic variants underlying these syndromes are functionally linked to genome maintenance and DNA repair, supporting the hypothesis that the accumulation of DNA damage plays a causal role in aging (<xref ref-type="bibr" rid="B57">Hennekam, 2020</xref>; <xref ref-type="bibr" rid="B121">Rieckher et al., 2021</xref>).</p>
<p>Patients with FA, due to defects in the FA/BRCA DNA repair pathway, exhibit multiple clinical features commonly associated with PSs from early life. These include bone marrow dysfunction, cytopenias, immunodeficiency, chronic inflammation, squamous cell carcinomas, acute myeloid leukemia, endocrine decline, sarcopenia, and osteopenia. In addition, genomic instability and stem cell exhaustion, both recognized hallmarks of aging, are prominent features of FA (<xref ref-type="bibr" rid="B4">Altintas et al., 2023</xref>; <xref ref-type="bibr" rid="B81">Kutler et al., 2003</xref>; <xref ref-type="bibr" rid="B22">Brosh et al., 2017</xref>). The convergence of these phenotypic and molecular characteristics supports the notion that Fanconi anemia may be considered a progeroid syndrome, as it encompasses several features observed across distinct PSs within a single disease entity (<xref ref-type="bibr" rid="B121">Rieckher et al., 2021</xref>; <xref ref-type="bibr" rid="B22">Brosh et al., 2017</xref>; <xref ref-type="bibr" rid="B152">Velleuer and Carlberg, 2024</xref>).</p>
<p>This review seeks to examine the phenotypic and genotypic spectrum of AF within the framework of the hallmarks of aging, to evaluate FA as a premature aging syndrome and to emphasize the need for further research in the less-explored aspects of FA pathophysiology.</p>
</sec>
<sec id="s3">
<label>3</label>
<title>Hallmarks of aging present in Fanconi anemia</title>
<p>The hallmarks of aging were proposed to encompass the fundamental biological processes that drive aging at the cellular, tissue, and organismal levels. According to L&#xf3;pez-Ot&#xed;n et al., these hallmarks are grouped into three categories, primary, antagonistic, and integrative, based on their hierarchical and functional relationships (<xref ref-type="bibr" rid="B91">L&#xf3;pez-Ot&#xed;n et al., 2013</xref>; <xref ref-type="bibr" rid="B92">L&#xf3;pez-Ot&#xed;n et al., 2023</xref>).</p>
<p>These hallmarks are not isolated mechanisms but rather interconnected processes that collectively contribute to the progressive decline associated with aging. Experimental evidence provides both direct and indirect links between FA and several of these hallmarks, supporting the concept that FA represents a model of premature or accelerated aging (<xref ref-type="sec" rid="s11">Supplementary Table S2</xref>).</p>
<sec id="s3-1">
<label>3.1</label>
<title>Primary hallmarks of aging in Fanconi anemia</title>
<p>Primary hallmarks that have unequivocal adverse effects on cellular components. These include genomic instability, telomere attrition, epigenetic alterations, loss of proteostasis, and disabled macroautophagy (<xref ref-type="bibr" rid="B92">L&#xf3;pez-Ot&#xed;n et al., 2023</xref>) (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Primary hallmarks of aging related to Fanconi anemia. Fanconi anemia (FA) cells display hypersensitivity to DNA crosslinking agents, resulting in chromosomal aberrations such as radial figures. These cells also accumulate R-loops, highlighting FA as a genomic instability syndrome. Moreover, evidence indicates telomere shortening and structural telomeric abnormalities, consistent with telomere attrition. Epigenetic alterations have also been reported, including reduced expression of DNMT1 and DNMT3&#x3b2;, and decreased acetylation of H4K16. Finally, impaired macroautophagy and increased protein synthesis have been observed in FA HSPCs, leading to defective autophagy and loss of proteostasis. (Created with Biorender).</p>
</caption>
<graphic xlink:href="fragi-07-1752160-g001.tif">
<alt-text content-type="machine-generated">Diagram illustrating the primary hallmarks in Fanconi anemia (FA), including genomic instability, telomere attrition, disabled macroautophagy, epigenetic alterations, and loss of proteostasis, with related cellular and DNA abnormalities visually represented.</alt-text>
</graphic>
</fig>
<sec id="s3-1-1">
<label>3.1.1</label>
<title>Genomic instability</title>
<p>Genomic instability is defined as the persistent generation of diverse genetic alterations, ranging from point mutations to large-scale chromosomal rearrangements, and can be classified into chromosomal instability (CIN) and micro- and minisatellite instability (MIN) (<xref ref-type="bibr" rid="B34">Draviam et al., 2004</xref>; <xref ref-type="bibr" rid="B2">Aguilera and G&#xf3;mez-Gonz&#xe1;lez, 2008</xref>). CIN, the most common form of genomic instability in cancer cells, involves a continuous state of mitotic dysfunction and failure in DNA repair pathways, leading to structural and numerical chromosomal abnormalities. MIN results from replication slippage and DNA repair impairment, producing expansions or contractions of repetitive DNA sequences (<xref ref-type="bibr" rid="B15">Bielski and Taylor, 2021</xref>).</p>
<p>Genomic instability in somatic cells has long been recognized as a causal factor in cell death and degeneration associated with aging, dating back to the 1940s when studies showed that low doses of radiation shorten lifespan and accelerate the accumulation of DNA lesions in late life (<xref ref-type="bibr" rid="B59">Henshaw et al., 1947</xref>). Multiple types of DNA alterations contribute to this instability, including chemical damage caused by reactive molecules, such as the formation of interstrand crosslinks (ICLs). Consequently, disruption of ICL repair mechanisms can drive genomic instability (<xref ref-type="bibr" rid="B77">Kottemann and Smogorzewska, 2013</xref>). The FA/BRCA pathway plays a central role in ICL repair (<xref ref-type="fig" rid="F2">Figure 2</xref>). It recognizes ICLs through ubiquitin-like with PHD and RING finger domains 1 (UHRF1) and the FANCM-Mph1-associated Histone-Fold (FANCM&#x2013;MHF1&#x2013;MHF2) complex. Subsequently, UHRF1 recruits the FANCD2&#x2013;I complex and the FANCM&#x2013;MHF1&#x2013;MHF2 complex to the FA core complex on chromatin. The ubiquitin ligases UBE2T/FANCT and RFWD3/FANCW then transfer ubiquitin to FANCL (a component of the FA core complex), which monoubiquitinates the FANCD2&#x2013;I heterodimer, facilitating recruitment of the scaffold protein SLX4/FANCP along with the endonucleases MUS81 Structure-Specific Endonuclease Subunit (MUS81), Structure-specific endonuclease subunit SLX1B (SLX1), and XPF/ERCC4/FANCQ, to unhook the ICL (<xref ref-type="bibr" rid="B122">Rodr&#xed;guez and D&#x2019;Andrea, 2017</xref>). This process generates various DNA repair intermediates that are resolved by distinct pathways: single-stranded DNA fragments are repaired by translesion synthesis; adducts by nucleotide excision repair (NER), and double-strand breaks (DSBs) by homologous recombination (HR) (<xref ref-type="bibr" rid="B122">Rodr&#xed;guez and D&#x2019;Andrea, 2017</xref>). In normal cells with functional ICL repair, the cell cycle is temporarily arrested to allow DNA repair, and if the damage is extensive or irreparable, apoptosis is triggered (<xref ref-type="bibr" rid="B77">Kottemann and Smogorzewska, 2013</xref>; <xref ref-type="bibr" rid="B30">Deans and West, 2011</xref>). However, FA cells lacking efficient repair mechanisms may follow two fates: they can undergo apoptosis or survive despite carrying unrepaired DNA damage (<xref ref-type="bibr" rid="B77">Kottemann and Smogorzewska, 2013</xref>; <xref ref-type="bibr" rid="B30">Deans and West, 2011</xref>; <xref ref-type="bibr" rid="B9">Basu, 2018</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>FA/BRCA pathway. FANCM complex recognizes the ICL during replication (1). This triggers the assembly of the FA core complex, involving nine Fanconi proteins and two FA-associated proteins (2), which monoubiquitinates the FANCI-D2 complex (3). This central complex activates exonuclease activity of FANCQ and FANCP, represented as scissors, which unhook the ICL (4). As a result, different lesions must be repaired. On one hand, REV1-polymerase &#x3b6; complex performs translesion synthesis on the strand containing the unhooked ICL. At the same time, the DSB is processed by MRN/CtIP (5) and subsequently repaired by homologous recombination. In this process, FANCD1, FANCN, FANCJ, FANCO, and FANCR mediate strand invasion using the sister chromatid as a template to restore the original DNA sequence. Finally, the ICL adduct is removed by nucleotide excision repair (6) (Created with Biorender).</p>
</caption>
<graphic xlink:href="fragi-07-1752160-g002.tif">
<alt-text content-type="machine-generated">Diagram illustrating six-step process of interstrand crosslink (ICL) DNA repair via the Fanconi anemia pathway, including lesion recognition, FA core complex assembly, ID2 complex ubiquitination, unhooking, double-strand break processing with translesion synthesis, and homologous recombination with removal of the ICL adduct by specific protein complexes.</alt-text>
</graphic>
</fig>
<p>Chromosomal instability in FA cells becomes particularly evident after exposure to DNA crosslinking agents, both endogenous, such as aldehydes, and exogenous, such as diepoxybutane (DEB) or mitomycin C (MMC) (<xref ref-type="bibr" rid="B42">Garc&#xed;a-de-Teresa et al., 2020</xref>; <xref ref-type="bibr" rid="B41">Garaycoechea et al., 2018</xref>). FA cells exhibit hypersensitivity to these agents (<xref ref-type="bibr" rid="B5">Auerbach, 2009</xref>; <xref ref-type="bibr" rid="B132">Schroeder et al., 1964</xref>), and their exposure leads to characteristic chromosomal abnormalities, including chromatid and isochromatid double strand breaks as well as radial figures. These radial formations arise from the joining of breaks between non-sister chromatids, reflecting and maintaining the pronounced chromosomal instability observed in individuals with FA (<xref ref-type="bibr" rid="B50">Hanlon Newell et al., 2008</xref>).</p>
<p>An important indicator of genomic instability is the presence of an increase in DNA-RNA hybrid structures known as R-loops. These structures can impede replication fork progression and accumulate when there are defects in DNA repair pathways, such as the FA/BRCA pathway, specifically, FANCD2, FANCA, and BRCA2 play key roles in preventing R-loop-induced DNA damage and replication fork stalling. In human cell lines and primary murine bone marrow cells, deficient in <italic>FANCA</italic> or <italic>FANCD2</italic>, R-loops are markedly enriched compared with FA/BRCA-proficient cells, as detected by DNA-RNA immunoprecipitation-Quantitative Polymerase Chain Reaction (DRIP-qPCR). This finding demonstrates that the FA/BRCA pathway plays a critical role in removing R-loops (<xref ref-type="bibr" rid="B44">Garc&#xed;a-Rubio et al., 2015</xref>). During normal aging, the over-accumulation of R-loops generates DNA damage, disrupting the homeostasis and microenvironment of stem cells (<xref ref-type="bibr" rid="B29">Cinat et al., 2021</xref>). R-loop accumulation correlates with reduced lifespan, infertility, epigenetic deregulation, and aberrant expression of transposable elements, all of them observed during aging. Importantly, unresolved R-loops can activate innate immune signaling through the Cyclic GMP&#x2013;AMP Synthase-Stimulator of Interferon Genes (cGAS&#x2013;STING) pathway, promoting sterile inflammation. Together, these findings position R-loops as emerging drivers of genomic instability and inflammaging, highlighting their potential role in the molecular mechanisms underlying aging (<xref ref-type="bibr" rid="B163">Zhao et al., 2023</xref>).</p>
<p>The bone marrow is a tissue with continuous renewal and constant cell division, each division presenting an opportunity for replicative damage. Individuals with FA are especially susceptible to such damage, which helps explain why they typically develop bone marrow failure at an early age (&#x223c;7 years) compared to the general population (&#x223c;60 years) (<xref ref-type="bibr" rid="B81">Kutler et al., 2003</xref>; <xref ref-type="bibr" rid="B23">Butturini et al., 1994</xref>).</p>
</sec>
<sec id="s3-1-2">
<label>3.1.2</label>
<title>Telomere attrition</title>
<p>Because of the unidirectional nature of DNA polymerases and processing events, human telomeres lose approximately 50&#x2013;200 base pairs with each cell division (<xref ref-type="bibr" rid="B167">Zou et al., 2004</xref>). Consequently, telomere shortening occurs after every DNA replication and division cycle. The number of divisions a given cell can undergo before entering senescence is defined as the Hayflick limit (<xref ref-type="bibr" rid="B54">Hayflick and Moorhead, 1961</xref>). In humans, telomere length has been shown to correlate with mortality and the incidence of age-related chronic diseases, including Alzheimer&#x2019;s disease, cardiovascular disease, type 2 diabetes, osteoporosis, and cancer (<xref ref-type="bibr" rid="B26">Cawthon et al., 2003</xref>; <xref ref-type="bibr" rid="B46">Gruber et al., 2021</xref>; <xref ref-type="bibr" rid="B131">Schneider et al., 2022</xref>).</p>
<p>Telomeres in lymphocytes from patients with FA are significantly shorter than those in age-matched controls, as shown by quantitative fluorescence <italic>in situ</italic> hybridization (Q-FISH) analysis of 16 FA patients, revealing a marked reduction in telomere length (<xref ref-type="bibr" rid="B51">Hanson et al., 2001</xref>). Similarly, analyses of lymphocytes and fibroblasts from patients with <italic>FANCD2</italic> mutations identified multiple telomeric abnormalities, such as premature telomere shortening, increased telomeric recombination, and aberrant telomeric structures (<xref ref-type="bibr" rid="B70">Joksic et al., 2012</xref>). More recently, telomere length was quantified by real-time quantitative polymerase chain reaction (qPCR) in individuals carrying <italic>FANCA, FANCG</italic>, and <italic>FANCL</italic> mutations. All three FA groups exhibited significant telomere shortening compared with controls, with individuals from the <italic>FANCL</italic> group showing the most pronounced reduction (<xref ref-type="bibr" rid="B136">Shah et al., 2021</xref>).</p>
<p>Other studies have indirectly implicated FANC proteins in telomere maintenance. Although no changes in basal telomere length were observed in a <italic>Fancc</italic> knockout mouse model, increased telomere attrition became evident when bone marrow cells were subjected to high proliferative stress through serial transplantation. These findings suggest that <italic>Fancc</italic> deficiency accelerates telomere shortening during rapid proliferation of hematopoietic cells (<xref ref-type="bibr" rid="B119">Rhee et al., 2010</xref>).</p>
<p>An alternative pathway for telomere maintenance is the alternative lengthening of telomeres (ALT) mechanism, in which several FANC proteins play key roles. FANCD2 colocalizes with the telomeric protein Telomeric Repeat Binding Factor 1 (TRF1) exclusively in ALT-positive cells, and depletion of FANCA or FANCD2 results in telomere loss and reduced telomere sister chromatid exchange (<xref ref-type="bibr" rid="B36">Fan et al., 2009</xref>). Similarly, loss of FANCM in ALT cells induces severe telomeric replication stress and heightened ALT activity, reflecting the role of specific FANCM domains in suppressing ALT (<xref ref-type="bibr" rid="B93">Lu et al., 2019</xref>; <xref ref-type="bibr" rid="B140">Silva et al., 2019</xref>). Furthermore, FANCJ unwinds guanine quadruplex (G4) DNA structures <italic>in vitro</italic> (<xref ref-type="bibr" rid="B90">London et al., 2008</xref>), and its depletion leads to impaired proliferation, increased apoptosis, and accumulation of DNA damage (<xref ref-type="bibr" rid="B157">Wu et al., 2008</xref>). Collectively, these findings highlight the potential contribution of FANC proteins to telomere homeostasis and suggest that their role in Fanconi anemia warrants further investigation.</p>
</sec>
<sec id="s3-1-3">
<label>3.1.3</label>
<title>Epigenetic alterations</title>
<p>Epigenetic alterations contribute to aging by modulating the expression of genes involved in diverse pathways, including cellular stress response, senescence, mitochondrial dysfunction, and telomere attrition. These alterations can impact multiple mechanisms that govern gene expression through changes in chromatin structure, such as DNA methylation patterns, post-translational modifications of histones, chromatin remodeling, and dysregulation of non-coding RNAs (<xref ref-type="bibr" rid="B71">Jusic et al., 2022</xref>; <xref ref-type="bibr" rid="B109">Oh and Petronis, 2021</xref>; <xref ref-type="bibr" rid="B134">Seale et al., 2022</xref>; <xref ref-type="bibr" rid="B145">Swer and Sharma, 2021</xref>). Aging-associated diseases, including cardiovascular disorders, neurodegenerative conditions, and cancer, are all linked to changes in epigenetic regulation (<xref ref-type="bibr" rid="B82">la Torre et al., 2023</xref>).</p>
<p>The Information Theory of Aging (ITOA) posits that biological information is stored in two main forms: the DNA nucleotide sequence and the epigenome. This theory explains why individuals with unique genomes can exhibit similar aging phenotypes. Unlike the somatic mutation theory of aging, the ITOA emphasizes the epigenome&#x2019;s role in regulating multiple cellular processes, including DNA repair (<xref ref-type="bibr" rid="B94">Lu et al., 2023</xref>). According to the ITOA, cellular responses to damage originate from chromatin alterations and epigenetic dysregulation, which sensitize cells to DNA damage (<xref ref-type="bibr" rid="B159">Yang et al., 2023</xref>).</p>
<p>Despite its relevance, few studies have addressed epigenetic regulation in FA. Peripheral blood mononuclear cells from FA patients display an epigenetic profile distinct from healthy individuals. Consistent with the ITOA, these cells exhibited reduced expression of the DNA methyltransferases DNA Methyltransferase 1 (DNMT1) and DNA Methyltransferase 3&#x3b2; (DNMT3&#x3b2;) (<xref ref-type="bibr" rid="B13">Belo et al., 2015</xref>). Such alterations in methylation machinery may underlie the FA-specific epigenetic signature recently identified, which has potential diagnostic utility (<xref ref-type="bibr" rid="B113">Pagliara et al., 2023</xref>).</p>
<p>Other levels of epigenetic regulation are also affected in FA. In <italic>FANCC</italic>-deficient fibroblasts, a significant decrease in H4K16 acetylation was observed (<xref ref-type="bibr" rid="B118">Renaud et al., 2016</xref>). This mark, catalyzed by the Tat-interacting protein, 60&#xa0;kDa (TIP60) enzyme, normally inhibits recruitment of the non-homologous end-joining (cNHEJ) protein p53-binding protein 1 (53BP1) to its docking site, H4K20Me2, thereby preventing repair <italic>via</italic> the error-prone cNHEJ pathway. The reduction in H4K16 acetylation, together with the accumulation of 53BP1, Replication Timing Regulatory Factor 1 (RIF1), and Receptor-Associated Protein 80 (RAP80) at damaged chromatin, suggests that double-strand breaks in FA-deficient cells are preferentially repaired through error-prone pathways (<xref ref-type="bibr" rid="B118">Renaud et al., 2016</xref>).</p>
<p>Similarly, hypoacetylation of histones has been reported in FANCA-deficient cells, particularly at replication forks. While these acetylation changes were not immediately apparent after acute DNA damage, chemically modifying histone acetylation in these cells induced DNA damage, indicating a critical role for proper acetylation in maintaining genomic stability (<xref ref-type="bibr" rid="B43">Garc&#xed;a-de-Teresa et al., 2024</xref>).</p>
<p>Gene expression studies in FA have also highlighted the influence of epigenetic regulation. The active form of vitamin D affects the transcription of over 1,000 genes, with <italic>FANCE</italic> among its potential targets. Vitamin D receptor (VDR) binding enhances chromatin accessibility and increases the active chromatin mark H3K27ac at the <italic>FANCE</italic> locus, suggesting that vitamin D insufficiency could modulate the progression of genetic disorders such as FA (<xref ref-type="bibr" rid="B151">Velleuer and Carlberg, 2020</xref>).</p>
<p>Finally, dysregulation of non-coding RNAs has been observed in FA. In FANCP/SLX4-deficient cells, the Long interspersed nuclear element-1 (LINE-1) retrotransposable elements, typically silenced by 5&#x2032;-UTR methylation, show increased retrotransposition. This loss of epigenetic silencing is accompanied by elevated production of proinflammatory cytokines, implicating these mobile elements in cancer susceptibility in patients with FA (<xref ref-type="bibr" rid="B20">Br&#xe9;gnard et al., 2016</xref>).</p>
</sec>
<sec id="s3-1-4">
<label>3.1.4</label>
<title>Loss of proteostasis</title>
<p>Loss of proteostasis, or altered protein homeostasis, is a hallmark of physiological aging, characterized by the accumulation of misfolded proteins or proteins modified by glycosylation, oxidation, or ubiquitination. This process has been implicated in natural aging as well as in neurodegenerative diseases such as Alzheimer&#x2019;s and Parkinson&#x2019;s disease (<xref ref-type="bibr" rid="B60">Hipp et al., 2019</xref>). To date, only one study has reported alterations in protein homeostasis in FA. In this study, hematopoietic stem and progenitor cells (HSPCs) from <italic>Fancd2&#x5e;&#x2212;/&#x2212;</italic> fetal mouse liver exhibited increased protein synthesis and accumulation of misfolded proteins, which induced endoplasmic reticulum stress, restricted HSPC expansion during gestation and inflammaging (<xref ref-type="bibr" rid="B78">Kovuru et al., 2024</xref>); all these processes observed in natural aging are recapitulated by FA in early stages of development, however, they remain limited to murine models. Further research is required to establish whether this phenomenon is a consistent feature in patients with FA.</p>
</sec>
<sec id="s3-1-5">
<label>3.1.5</label>
<title>Disabled macroautophagy</title>
<p>Macroautophagy refers to a set of cellular processes in which cytoplasmic components are sequestered within double-membrane vesicles that subsequently fuse with lysosomes or vacuoles to degrade their contents (<xref ref-type="bibr" rid="B158">Yamamoto et al., 2023</xref>). Importantly, autophagy is not limited to protein quality control but also regulates other macromolecules, damaged organelles, such as mitochondria (mitophagy), lysosomes (lysophagy), and invading pathogens (xenophagy) (<xref ref-type="bibr" rid="B86">Levine and Kroemer, 2019</xref>).</p>
<p>In mouse embryonic fibroblasts, deletion of <italic>Fancc</italic> reduces the colocalization of the Sindbis virus capsid protein with autophagosomes. Consistently, <italic>Fancc</italic>-deficient mice exhibit increased susceptibility to Sindbis virus and herpes simplex virus type 1 (HSV-1) infection, indicating that FANCC functions as a key adaptor in antiviral defense in the central nervous system through autophagy-dependent pathways (<xref ref-type="bibr" rid="B144">Sumpter et al., 2016</xref>). In addition, accumulation of damaged mitochondria in brain and heart cells of <italic>Fancc</italic>-deficient mice implicates FANCC in mitophagy. Mechanistically, FANCC interacts with the ubiquitin ligase parkin, which also associates biochemically with FANCA, and several FA proteins, including FANCA, FANCL, FANCF, FANCD2, FANCS, and FANCD1, have been shown to contribute to parkin-mediated mitophagy by siRNA studies, (<xref ref-type="bibr" rid="B144">Sumpter et al., 2016</xref>). This role is further supported by viral infection models, as Zika virus induces autophagy in mouse and human neural stem cells while deregulating key selective autophagy genes, including <italic>FANCC</italic>. Loss of <italic>FANCC</italic> activity compromises selective autophagy and mitophagy, thereby facilitating Zika virus replication. These observations underscore the importance of FA proteins in antiviral defense and macroautophagy (<xref ref-type="bibr" rid="B148">Tiwari et al., 2020</xref>).</p>
<p>In peripheral blood mononuclear cells from patients with FA, it has been observed a decreased expression of autophagy-related genes, including Autophagy Related 3 (<italic>ATG3</italic>)<italic>,</italic> Autophagy Related 4B Cysteine Peptidase (<italic>ATG4B</italic>)<italic>,</italic> Autophagy Related 7 (<italic>ATG7</italic>)<italic>,</italic> Autophagy Related 12 (<italic>ATG12</italic>)<italic>,</italic> Autophagy Related 16 (<italic>ATG16</italic>)<italic>,</italic> Microtubule-Associated Protein 1 Light Chain 3 Beta (<italic>MAP1LC3B</italic>), and Beclin 1 (<italic>BECN1</italic>), suggesting impaired autophagy. This was accompanied by overactivation of the Notch signaling pathway, which is involved in intercellular communication (<xref ref-type="bibr" rid="B166">Zipporah et al., 2020</xref>).</p>
<p>Finally, in HeLa cells <italic>FANCL</italic>-deficient using clustered regularly interspaced short palindromic repeats/CRISPR-associated protein 9 (CRISPR/Cas9), parkin is overexpressed and sensitivity to mitochondrial stress is increased. Restoration of wild-type <italic>FANCL</italic> or expression of the FANCLC307A mutant, which lacks ubiquitin ligase activity, corrected these phenotypes, indicating that FANCL protects against mitochondrial stress and supports parkin-mediated mitophagy, independently of its ligase function (<xref ref-type="bibr" rid="B10">Beesetti et al., 2022</xref>).</p>
<p>Collectively, these findings highlight a critical role for FANC proteins in autophagy and mitophagy, linking defective autophagic processes to cellular stress responses in FA. The evidence related to the primary hallmarks of aging is summarized in <xref ref-type="fig" rid="F1">Figure 1</xref>. These hallmarks serve as a common denominator in aging and directly influence the subsequent antagonistic and integrative hallmarks, as discussed below.</p>
</sec>
</sec>
<sec id="s3-2">
<label>3.2</label>
<title>Antagonistic hallmarks of aging in Fanconi anemia</title>
<p>Antagonistic hallmarks counteract primary hallmarks, often acting as protective responses to cellular, tissue, or organ damage. However, their persistent or excessive activity can be deleterious, contributing to aging and disease. These hallmarks include cellular senescence, mitochondrial dysfunction, and deregulated nutrient sensing (<xref ref-type="bibr" rid="B91">L&#xf3;pez-Ot&#xed;n et al., 2013</xref>; <xref ref-type="bibr" rid="B92">L&#xf3;pez-Ot&#xed;n et al., 2023</xref>). The evidence for these processes in FA is summarized in <xref ref-type="fig" rid="F3">Figure 3</xref>.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Antagonistic hallmarks of aging related to Fanconi anemia. FA cells exhibit main features of senescent cells such p53, p21, and p27 overexpression. Furthermore, these cells present a reduction of ATP production, increase oxidative damage and mitochondrial abnormalities, suggesting mitochondrial dysfunction. Finally, FA cells evidence deregulation in nutrient sensing such as dysfunction of the insulin signaling pathway and overexpression of <italic>TPH1</italic> (Created with Biorender).</p>
</caption>
<graphic xlink:href="fragi-07-1752160-g003.tif">
<alt-text content-type="machine-generated">Conceptual diagram illustrates antagonistic hallmarks in Fanconi anemia, highlighting cellular senescence, deregulated nutrient sensing, and mitochondrial dysfunction leading to decreased insulin receptor phosphorylation, increased TPH1, reduced cellular energy, altered mitochondrial morphology, increased reactive oxygen species, and oxidative stress.</alt-text>
</graphic>
</fig>
<sec id="s3-2-1">
<label>3.2.1</label>
<title>Cellular senescence</title>
<p>Cellular senescence is characterized by irreversible cell cycle arrest and resistance to apoptosis (<xref ref-type="bibr" rid="B66">Huang et al., 2022</xref>). It is triggered by stress or genomic damage, including DNA breaks and telomere shortening, and serves as a tumor-suppressive mechanism (<xref ref-type="bibr" rid="B52">Harley et al., 2024</xref>; <xref ref-type="bibr" rid="B56">Helbling-Leclerc et al., 2021</xref>; <xref ref-type="bibr" rid="B149">Toropov et al., 2023</xref>). Senescent cells accumulate during natural aging and age-related diseases and contribute to cancer development (<xref ref-type="bibr" rid="B24">Calcinotto et al., 2019</xref>); it can propagate through tissues <italic>via</italic> paracrine signaling mediated by Senescence-associated secretory phenotype (SASP) components such as C-C Motif Chemokine Ligand 2 (CCL2), Transforming Growth Factor-beta (TGF-&#x3b2;), Interleukin-1 (IL-1), Interleukin-6 (IL-6), and Interleukin-8 (IL-8) (<xref ref-type="bibr" rid="B17">Birch and Gil, 2020</xref>; <xref ref-type="bibr" rid="B45">Gorgoulis et al., 2019</xref>). Cellular senescence is a context-dependent program, important for normal development, regeneration, and tumor suppression when transient, whereas SASP associated with chronic senescence, as seen with aging, is considered a detrimental process (<xref ref-type="bibr" rid="B101">Moiseeva et al., 2023</xref>; <xref ref-type="bibr" rid="B84">Lavarti et al., 2025</xref>).</p>
<p>Evidence from cellular and murine models indicates that disruption of the FA/BRCA pathway is sufficient to induce senescence. In human melanoma cell lines, silencing of <italic>FANCA</italic> or <italic>FANCD2</italic> results in increased cell size and granularity (features that are commonly associated with cellular senescence) together with elevated levels of p53, p21, and p27, increased senescence-associated &#x3b2;-galactosidase (SA-&#x3b2;Gal) activity, accumulation of senescence-associated heterochromatin foci (SAHF), and heightened reactive oxygen species (ROS) (<xref ref-type="bibr" rid="B19">Bourseguin et al., 2016</xref>; <xref ref-type="bibr" rid="B55">Helbling-Leclerc et al., 2019</xref>); consistently, FA mesenchymal stem cells display aberrant cytokine profiles, including SASP (<xref ref-type="bibr" rid="B49">Han et al., 2022</xref>; <xref ref-type="bibr" rid="B48">Haga et al., 2023</xref>; <xref ref-type="bibr" rid="B76">Korthof et al., 2013</xref>; <xref ref-type="bibr" rid="B35">Epanchintsev et al., 2015</xref>). Persistent DNA damage and ROS accumulation are therefore proposed to sustain a chronic senescent state in FA cells, reinforcing a loop of inflammation and cellular dysfunction (<xref ref-type="bibr" rid="B56">Helbling-Leclerc et al., 2021</xref>).</p>
<p>In FA human embryo cells, chronic replication stress and defective interstrand crosslink repair promote unresolved DNA damage and sustained activation of the p53-p21 axis, leading to early-onset senescence at markedly younger biological ages (<xref ref-type="bibr" rid="B27">Ceccaldi et al., 2012</xref>; <xref ref-type="bibr" rid="B105">Nalepa and Clapp, 2018</xref>). Persistent senescence in this context is predicted to establish a SASP, thereby driving sterile inflammation, tissue dysfunction, and hematopoietic stem cell attrition. Thus, premature and unresolved senescence in FA closely mirrors pathological aging-associated senescence and likely contributes to the accelerated aging phenotypes characteristic of the disease.</p>
</sec>
<sec id="s3-2-2">
<label>3.2.2</label>
<title>Mitochondrial dysfunction</title>
<p>Mitochondrial function declines with age, leading to increased ROS production, inflammasome activation, and Mitochondrial DNA (mtDNA) release, which can trigger inflammation and compromise mitochondrial integrity (<xref ref-type="bibr" rid="B47">Guo and Chiang, 2022</xref>). Since the discovery of mitochondrial dysfunction in FANCG-deficient cells (<xref ref-type="bibr" rid="B102">Mukhopadhyay et al., 2006</xref>), evidence has accumulated for an essential role of FANC proteins in mitochondrial homeostasis (<xref ref-type="bibr" rid="B117">Ravera et al., 2013</xref>; <xref ref-type="bibr" rid="B25">Cappelli et al., 2017</xref>; <xref ref-type="bibr" rid="B80">Kumari et al., 2014</xref>).</p>
<p>Mitophagy is critical for removing damaged mitochondria, reducing ROS, and preventing cell death. In FA, mitophagy is impaired, leading to oxidative damage and disease progression (<xref ref-type="bibr" rid="B144">Sumpter et al., 2016</xref>). FA cells exhibit a pro-oxidant state, partly due to defective repair of ROS-induced DNA lesions, as evidenced by high levels of 8-oxo-deoxyguanosine in patient DNA (<xref ref-type="bibr" rid="B31">Degan et al., 1995</xref>; <xref ref-type="bibr" rid="B103">Myers et al., 2011</xref>).</p>
<p>Mitochondrial dysfunction has been documented in FANCD2<sup>&#x2212;/&#x2212;</sup> fibroblasts and FANCA<sup>&#x2212;/&#x2212;</sup> lymphoblasts, with increased ROS, reduced mitochondrial membrane potential, decreased oxygen consumption, altered morphology, and low Adenosine Triphosphate (ATP) levels. These defects result from inactivation of F1F0ATPase and cytochrome C oxidase, impairing cellular energy production (<xref ref-type="bibr" rid="B80">Kumari et al., 2014</xref>). FANCD2 also participates in mito-nuclear communication, regulating the mitochondrial unfolded protein response (mt-UPR) and transcription at common fragile sites <italic>via</italic> the FANCD2/FANCI- Ubiquitin-Like Protein 5 (UBL5) axis to prevent dysfunction (<xref ref-type="bibr" rid="B38">Fernandes et al., 2021</xref>).</p>
<p>Interestingly, certain FANCA pathogenic variants are associated with milder mitochondrial phenotypes, showing intermediate ATP/Adenosine Monophosphate (AMP) ratios between wild-type and null cells, suggesting hypomorphic effects on mitochondrial activity (<xref ref-type="bibr" rid="B18">Bottega et al., 2018</xref>). The severity of mitochondrial dysfunction in FA has led to the proposal that FA is, in part, a mitochondrial disease, with mitochondrial defects contributing to diabetes, impaired glucose tolerance, and other metabolic abnormalities (<xref ref-type="bibr" rid="B112">Pagano et al., 2021</xref>; <xref ref-type="bibr" rid="B111">Pagano et al., 2020</xref>; <xref ref-type="bibr" rid="B142">Sing et al., 2022</xref>).</p>
</sec>
<sec id="s3-2-3">
<label>3.2.3</label>
<title>Deregulated nutrient sensing</title>
<p>The nutrient-sensing cellular network includes extracellular ligands, receptors, and signaling cascades. Nutrient-sensing pathways detect extracellular nutrients and stress, balancing anabolic and catabolic processes. Aging disrupts this balance, impairing cellular responses to nutrition and stress (<xref ref-type="bibr" rid="B92">L&#xf3;pez-Ot&#xed;n et al., 2023</xref>). Key nutrient-sensing regulators such as AMP-activated protein kinase (AMPK), sirtuins (SIRTs), insulin, insulin-like growth factor 1 (IGF1), and mechanistic target of rapamycin (mTOR) signaling are central to aging biology, as they coordinate cellular energy status with metabolic homeostasis, stress responses, and longevity. Nutrient-sensing pathways are recognized as fundamental regulators of aging.</p>
<p>In FA, many individuals display disrupted appetite and eating behavior (&#x201c;picky eating&#x201d;), which may be linked to alterations in nutrient-sensing hormonal responses, including those mediated by ghrelin, which has been found markedly reduced in patients with FA (<xref ref-type="bibr" rid="B152">Velleuer and Carlberg, 2024</xref>; <xref ref-type="bibr" rid="B153">Vicente-Mu&#xf1;oz et al., 2025</xref>). This phenotype is accompanied by endocrine dysfunction, insulin resistance, and early-onset type 2 diabetes, suggesting intrinsic disturbances in nutrient-sensing pathways that parallel aging-related metabolic processes. Several studies in patients with FA support this notion, reporting high prevalences of metabolic abnormalities, including impaired glucose regulation and insulin resistance, ranging from 30% to 80% (<xref ref-type="bibr" rid="B65">Hoover et al., 2024</xref>; <xref ref-type="bibr" rid="B4">Altintas et al., 2023</xref>; <xref ref-type="bibr" rid="B153">Vicente-Mu&#xf1;oz et al., 2025</xref>; <xref ref-type="bibr" rid="B116">Petryk et al., 2015</xref>). Notably, these values are comparable to those observed in adults aged &#x2265;65 years in the non-FA population (<xref ref-type="bibr" rid="B164">Zhong et al., 2021</xref>; <xref ref-type="bibr" rid="B141">Simarro et al., 2011</xref>) and are significantly higher than those reported in age-matched non-FA populations (<xref ref-type="bibr" rid="B126">Rogero Blanco et al., 2012</xref>; <xref ref-type="bibr" rid="B108">Nolan et al., 2017</xref>; <xref ref-type="bibr" rid="B96">Luk et al., 2025</xref>).</p>
<p>Dynamic metabolic studies have demonstrated in patients with FA, a great alteration in the substrate utilization, characterized by insulin resistance, sustained hyperglycemia, and a failure to increase postprandial energy expenditure, indicating defective insulin/IGF1 signaling and reduced metabolic flexibility (<xref ref-type="bibr" rid="B153">Vicente-Mu&#xf1;oz et al., 2025</xref>), showing a preferential shift toward lipid utilization and enhanced ketogenesis that suggests compensatory activation of energy-conserving pathways typically associated with AMPK and SIRT signaling pathways. This imbalance between anabolic (insulin/IGF1&#x2013;mTOR) and catabolic (AMPK&#x2013;SIRT) nutrient-sensing pathways mirrors age-related metabolic remodeling but occurs at markedly younger ages and in the absence of classical obesity. (<xref ref-type="bibr" rid="B152">Velleuer and Carlberg, 2024</xref>; <xref ref-type="bibr" rid="B153">Vicente-Mu&#xf1;oz et al., 2025</xref>). In line with this, amino acid metabolism in individuals with Fanconi anemia (FA) is altered at both the cellular and systemic levels. FA cells exhibit dysregulation of amino acid sensing and utilization, particularly involving the branched-chain amino acids isoleucine and valine, the aromatic amino acids phenylalanine and tyrosine, glycine (<xref ref-type="bibr" rid="B153">Vicente-Mu&#xf1;oz et al., 2025</xref>). In addition, tryptophan metabolism is disrupted, favoring its conversion to serotonin, a metabolite implicated in oncogenesis (<xref ref-type="bibr" rid="B7">Bartlett et al., 2021</xref>); these alterations support an insulin-resistant and metabolically abnormal phenotype (<xref ref-type="bibr" rid="B153">Vicente-Mu&#xf1;oz et al., 2025</xref>; <xref ref-type="bibr" rid="B88">Li et al., 2012</xref>).</p>
<p>Collectively, these data raise the hypothesis that FA represents a model of accelerated yet metabolically atypical aging, influenced by nutrigenomic and lifestyle-related factors that induce cellular disturbances in signal transduction pathways. These disturbances may in turn, affect the epigenome, particularly the DNA methylome, thereby influencing patients&#x2019; biological age. Probing the existence of such epigenetic changes may enable the monitoring of modifications in the environment and food intake in the patients with FA, and the identification of druggable targets to delay or even reverse age-related features and diseases. (<xref ref-type="bibr" rid="B152">Velleuer and Carlberg, 2024</xref>).</p>
</sec>
</sec>
<sec id="s3-3">
<label>3.3</label>
<title>Integrative hallmarks</title>
<p>Integrative hallmarks emerge when accumulated damage from primary and antagonistic hallmarks overwhelms cellular compensatory mechanisms, impairing tissue function and homeostasis (<xref ref-type="bibr" rid="B92">L&#xf3;pez-Ot&#xed;n et al., 2023</xref>). These hallmarks include stem cell exhaustion, altered intercellular communication, chronic inflammation, and dysbiosis. Evidence for these processes in FA is summarized in <xref ref-type="fig" rid="F4">Figure 4</xref>.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Integrative hallmarks of aging related to Fanconi anemia. FA cells exhibit molecular features of chronic inflammation as well as increase of TNF-&#x3b1;, IL-1, MIC-1 and HSP-70. Furthermore, this chronic inflammation with the altered Ca<sup>2&#x2b;</sup> ATPase altogether suggests malfunctioning of intercellular communication. Otherwise, patients with FA presents with early bone marrow failure that shows stem cell exhaustion. Finally, there is some evidence of <italic>Mycoplasma salivarium</italic> abundancy that might be signal of dysbiosis (Created with Biorender).</p>
</caption>
<graphic xlink:href="fragi-07-1752160-g004.tif">
<alt-text content-type="machine-generated">Diagram outlining integrative hallmarks in Fanconi anemia (FA), including stem cell exhaustion, chronic inflammation, dysbiosis, and altered intercellular communication, with related features such as bone marrow failure, increased MYC in HSC, proinflammatory markers, Mycoplasma salivarium in HNSCC, increased Ca2+-ATPase activity in ER, and inflammation, each illustrated with corresponding graphics.</alt-text>
</graphic>
</fig>
<sec id="s3-3-1">
<label>3.3.1</label>
<title>Stem cell exhaustion</title>
<p>Aging is characterized by a progressive decline in the self-renewal capacity of tissues (<xref ref-type="bibr" rid="B92">L&#xf3;pez-Ot&#xed;n et al., 2023</xref>). HSPCs in the bone marrow gradually lose regenerative potential and exhibit skewed differentiation toward the myeloid lineage (<xref ref-type="bibr" rid="B137">Shevyrev et al., 2023</xref>). This decline compromises tissue homeostasis and is influenced by other hallmarks, including genomic damage, senescence, autophagy defects, and epigenetic alterations (<xref ref-type="bibr" rid="B28">Childs et al., 2015</xref>; <xref ref-type="bibr" rid="B63">Ho et al., 2017</xref>; <xref ref-type="bibr" rid="B154">Walter et al., 2015</xref>; <xref ref-type="bibr" rid="B1">Adelman et al., 2019</xref>).</p>
<p>In FA, HSPC exhaustion underlies BMF, which affects up to 90% of patients by age 50 (<xref ref-type="bibr" rid="B81">Kutler et al., 2003</xref>; <xref ref-type="bibr" rid="B3">Alter et al., 2018</xref>). BMF may manifest as isolated cytopenia or progress to AA, MDS, or AML (<xref ref-type="bibr" rid="B4">Altintas et al., 2023</xref>). Mesenchymal stromal cells (MSCs) from patients with FA show premature senescence, spontaneous chromosomal breaks, lower fibroblast-colony-forming unit (CFU-F) counts, and reduced proliferative capacity compared to healthy donors (<xref ref-type="bibr" rid="B97">Mantelli et al., 2015</xref>).</p>
<p>Mouse models reinforce these observations. <italic>Fancc/Fancg</italic> double knockout (DKO) MSCs exhibit reduced survival, lower CFU-F numbers, bone marrow hypoplasia, and skewed differentiation toward adipocytes during osteoblast differentiation. This shift disrupts the normal niche activity to maintain hematopoiesis as adipocytes negatively regulate hematopoietic activity and represent an important source of TNF-&#x3b1; which induce apoptosis in the FA hematopoietic cells. Collectively, these features contributes to hypoplasia and BMF (<xref ref-type="bibr" rid="B165">Zhou et al., 2017</xref>). MSCs from FA patients, including a single <italic>FANCG</italic>-mutant sample, display increased adipogenic differentiation, elevated mitochondrial ROS, and transcriptomic signatures of senescence, consistent with accelerated aging. (<xref ref-type="bibr" rid="B48">Haga et al., 2023</xref>; <xref ref-type="bibr" rid="B165">Zhou et al., 2017</xref>).</p>
<p>Endogenous and exogenous genotoxic stress is elevated in FA HSPCs. Reactive aldehydes contribute to DNA damage, as indicated by &#x3b3;H2AX accumulation (<xref ref-type="bibr" rid="B83">Langevin et al., 2011</xref>), indeed, FA patients with Aldehyde Dehydrogenase 2 (ALDH2) deficiency, a critical enzyme for acetaldehyde detoxification, develop BMF within the first 7 months of life, highlighting the importance of aldehyde clearance in hematopoietic homeostasis (<xref ref-type="bibr" rid="B61">Hira et al., 2013</xref>). Moreover, MYC proto-oncogene overexpression in FA HSPCs occurs in the context of chronic activation of the TGF-&#x3b2; and p53 signaling axes, which promotes transcriptional reprogramming promoting the downregulation of cell adhesion-related genes, resulting in impaired adhesion to the bone marrow niche, and increased susceptibility to HSPC detachment, exhaustion, and bone marrow failure (<xref ref-type="bibr" rid="B123">Rodr&#xed;guez et al., 2021a</xref>; <xref ref-type="bibr" rid="B125">Rodr&#xed;guez et al., 2022</xref>; <xref ref-type="bibr" rid="B124">Rodr&#xed;guez et al., 2021b</xref>; <xref ref-type="bibr" rid="B161">Zhang et al., 2016</xref>).</p>
</sec>
<sec id="s3-3-2">
<label>3.3.2</label>
<title>Alteration of intercellular communication</title>
<p>Aging disrupts signaling pathways, resulting in impaired intercellular communication that affects systemic tissue function (<xref ref-type="bibr" rid="B91">L&#xf3;pez-Ot&#xed;n et al., 2013</xref>). In FA, altered intra and intercellular communication is a well-documented feature and contributes to bone marrow failure, and cancer predisposition. It is evident that the homeostasis of calcium, an indispensable element for cell signal transmission, is impaired in FA-A fibroblasts, with threefold lower basal intracellular Ca<sup>2&#x2b;</sup> compared to wild-type or <italic>FANCA</italic>-corrected cells, and Ca<sup>2&#x2b;</sup> is concentrated in the endoplasmic reticulum due to heightened Ca<sup>2&#x2b;</sup>-ATPase activity (<xref ref-type="bibr" rid="B150">Usai et al., 2015</xref>; <xref ref-type="bibr" rid="B95">Luan and Wang, 2021</xref>).</p>
<p>HSPC in FA display defective communication with the bone marrow niche, this due to dysregulated adhesion molecules and chemokine signaling CXCL12&#x2013;CXCR4 axis that mediates cell-cell communication regulating homing, survival and retention of HSPCs within the bone marrow niche, leading to impaired niche retention and stem cell exhaustion (<xref ref-type="bibr" rid="B123">Rodr&#xed;guez et al., 2021a</xref>). FA cells are also hypersensitive to TGF-&#x3b2; signaling, resulting in aberrant paracrine signaling, enhanced p53 activation, and suppression of HSPC proliferation and self-renewal (<xref ref-type="bibr" rid="B123">Rodr&#xed;guez et al., 2021a</xref>; <xref ref-type="bibr" rid="B125">Rodr&#xed;guez et al., 2022</xref>; <xref ref-type="bibr" rid="B124">Rodr&#xed;guez et al., 2021b</xref>). In addition, chronic DNA damage and replication stress promote inflammatory signaling and SASP-like cytokine secretion, contributing to the propagation of senescence-associated paracrine signaling and to inflammaging (<xref ref-type="bibr" rid="B56">Helbling-Leclerc et al., 2021</xref>). This represents an altered form of intercellular communication characterized by the sustained production of proinflammatory cytokines, leading to disrupted tissue homeostasis (<xref ref-type="bibr" rid="B91">L&#xf3;pez-Ot&#xed;n et al., 2013</xref>).</p>
<p>Together, these findings indicate that FA is characterized not only by intrinsic DNA repair defects but also by profound alterations in intercellular communication at the tissue level.</p>
</sec>
<sec id="s3-3-3">
<label>3.3.3</label>
<title>Chronic inflammation</title>
<p>Inflammaging refers to the progressive accumulation of inflammatory mediators with age, including IL-6, TNF-&#x3b1;, N-terminal pro-B-type natriuretic peptide (NT-proBNP), Cystatin C, and cholinesterase, which are associated with increased mortality and immune decline (<xref ref-type="bibr" rid="B62">Hirata et al., 2020</xref>; <xref ref-type="bibr" rid="B99">Milan-Mattos et al., 2019</xref>; <xref ref-type="bibr" rid="B100">Mogilenko et al., 2021</xref>). Chronic inflammation arises from multiple hallmarks, including genomic instability, epigenetic dysregulation, proteostasis loss, autophagy defects, telomere attrition, mitochondrial dysfunction, cellular senescence, stem cell depletion, and altered intercellular communication (<xref ref-type="bibr" rid="B92">L&#xf3;pez-Ot&#xed;n et al., 2023</xref>).</p>
<p>In FA, bone marrow dysfunction is exacerbated by immune-regulatory cytokines such as Interferon-gamma (IFN-&#x3b3;) (<xref ref-type="bibr" rid="B87">Li et al., 2004</xref>; <xref ref-type="bibr" rid="B139">Si et al., 2006</xref>). This suggests that increased concentrations of cytokines are involved in the evolution of BMF in individuals with FA; however, the precise mechanism is unknown. DNA damage and chronic stress contribute to inflammation: FANCC-deficient cells overexpress inflammatory mediators, including Interleukin-1 Receptor Antagonist (IL-1RA), Macrophage Inhibitory Cytokine 1 (MIC-1), Heat Shock Protein 70 (HSP-70), and accumulate TNF-&#x3b1; to levels 5&#x2013;8 times higher than healthy controls, suggesting that in addition to its function in DNA repair, FANCC might play a role in inflammatory response, which could influence the inflammatory phenotypes observed in FA (<xref ref-type="bibr" rid="B160">Za et al., 2004</xref>; <xref ref-type="bibr" rid="B21">Briot et al., 2008</xref>). On the other hand, FANCD2 and FANCC deficiency enhances TNF-&#x3b1; induced Nuclear Factor kappa-light-chain-enhancer of activated B cells (NF-&#x39a;b) activation, sustaining inflammatory activity (<xref ref-type="bibr" rid="B98">Matsushita et al., 2011</xref>). Additionally, overexpression of IL-1&#x3b2; in FA mononuclear cells can be rescued by FANCA gene complementation, further linking FA gene deficiency to inflammatory dysregulation (<xref ref-type="bibr" rid="B68">Ib&#xe1;&#xf1;ez et al., 2009</xref>).</p>
<p>Collectively, FA cells display a proinflammatory phenotype that reflects the cumulative effect of deficiencies in DNA repair, mitochondrial function, senescence control, and other cellular mechanisms.</p>
</sec>
<sec id="s3-3-4">
<label>3.3.4</label>
<title>Dysbiosis</title>
<p>Dysbiosis is characterized by disrupted host-microbiota communication, including reduced beneficial organisms, overgrowth of harmful species, or decreased microbial diversity. Notably, these categories are not mutually exclusive and often coexist (<xref ref-type="bibr" rid="B32">DeGruttola et al., 2016</xref>). In aging, dysbiosis is associated with reproducible alterations in gut microbiota composition and function, and is characterized by reduced microbial diversity, depletion of short-chain fatty acid&#x2013;producing commensals, and enrichment of pro-inflammatory pathobionts (<xref ref-type="bibr" rid="B110">O&#x2019;Toole and Jeffery, 2015</xref>). Data regarding this hallmark is limited in FA, however there is evidence that patients with FA carry a local microbial imbalance within the oral niche, in terms of the elevated presence of <italic>Streptococcus, Neisseria</italic> and <italic>Haemophilus</italic>, specifically in patients presenting with oral lesions and severe mucositis (<xref ref-type="bibr" rid="B40">Furquim et al., 2017</xref>). Additionally, <italic>Mycoplasma salivarium</italic> was abundant on the surface of a squamous cell carcinoma in an FA patient, compared to benign lesions and healthy controls, implicating dysbiosis in cancer progression (<xref ref-type="bibr" rid="B58">Henrich et al., 2014</xref>). Altered microbiota composition has also been linked to head and neck squamous cell carcinoma, although not performed in FA patients, this is the most common solid tumor in patients with FA (<xref ref-type="bibr" rid="B3">Alter et al., 2018</xref>; <xref ref-type="bibr" rid="B147">Ting et al., 2023</xref>).</p>
<p>While underexplored, dysbiosis may contribute to aging phenotypes and cancer susceptibility in FA and warrants further investigation.</p>
</sec>
</sec>
</sec>
<sec id="s4">
<label>4</label>
<title>Interplay between primary, antagonistic and integrative hallmarks in Fanconi anemia</title>
<p>Fanconi anemia is a genetic syndrome with a median survival of 39 years (<xref ref-type="bibr" rid="B3">Alter et al., 2018</xref>), characterized by multiple cellular and molecular features that overlap with aging. At the molecular level, the hallmarks of aging are highly interconnected, creating a feedback network that links primary sources of damage to downstream consequences (<xref ref-type="fig" rid="F5">Figure 5</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Circus plot of interactions between aging hallmarks. Each ribbon representing an interaction. The red color represents the primary hallmarks, the blue color the antagonistic hallmarks and the purple the integrative hallmarks.</p>
</caption>
<graphic xlink:href="fragi-07-1752160-g005.tif">
<alt-text content-type="machine-generated">Circular chord diagram illustrating relationships among twelve biological processes related to aging, including chronic inflammation, dysbiosis, genomic instability, stem cell exhaustion, and mitochondrial dysfunction, with colored arcs and connecting bands indicating interconnections between processes.</alt-text>
</graphic>
</fig>
<sec id="s4-1">
<label>4.1</label>
<title>Connections from primary hallmarks</title>
<p>Genomic instability, a central primary hallmark, drives the accumulation of DNA damage that can activate cellular senescence (<xref ref-type="bibr" rid="B56">Helbling-Leclerc et al., 2021</xref>), and impair stem cell function, particularly evident in HSPCs (<xref ref-type="bibr" rid="B29">Cinat et al., 2021</xref>; <xref ref-type="bibr" rid="B133">Schuma et al., 2021</xref>). Telomere shortening further contributes to senescence and genomic instability (<xref ref-type="bibr" rid="B52">Harley et al., 2024</xref>).</p>
<p>R-loop accumulation, a byproduct of defective DNA repair, represents another intersection of hallmarks. While R-loops are associated with genomic instability and cancer, they also influence chromatin condensation and epigenetic gene silencing, linking DNA damage to epigenetic regulation (<xref ref-type="bibr" rid="B72">Kim and Wang, 2021</xref>). Similarly, LINE-1 retrotransposition contributes to chronic inflammation (<xref ref-type="bibr" rid="B20">Br&#xe9;gnard et al., 2016</xref>), and reduced DNMT3B expression correlates with chromosomal instability (<xref ref-type="bibr" rid="B13">Belo et al., 2015</xref>). Decreased H4K16 acetylation activates error-prone repair, promoting chromosomal aberrations, while experimental histone hyperacetylation paradoxically induces DNA damage, likely by disrupting protective chromatin structures against R-loop accumulation (<xref ref-type="bibr" rid="B42">Garc&#xed;a-de-Teresa et al., 2020</xref>; <xref ref-type="bibr" rid="B43">Garc&#xed;a-de-Teresa et al., 2024</xref>). This evidence suggests a strong relationship between DNA damage and epigenetics.</p>
<p>Altered autophagy mechanisms also integrate multiple hallmarks. Defective virophagy increases susceptibility to viral infections, exemplified by FA neuroinflammatory syndrome (FANS), where polyomavirus-infected microglia are observed (<xref ref-type="bibr" rid="B8">Bartlett et al., 2024</xref>), suggesting a connection with dysbiosis. Impaired autophagy coupled with upregulated Notch signaling alters intercellular communication (<xref ref-type="bibr" rid="B166">Zipporah et al., 2020</xref>; <xref ref-type="bibr" rid="B16">Bigas and Espinosa, 2016</xref>), while deficient mitophagy prevents the clearance of dysfunctional mitochondria, promoting oxidative stress (<xref ref-type="bibr" rid="B38">Fernandes et al., 2021</xref>).</p>
<p>Although data are limited, loss of proteostasis in FA has been linked to HSPC restriction during embryogenesis, illustrating another connection between primary damage and integrative outcomes (<xref ref-type="bibr" rid="B78">Kovuru et al., 2024</xref>).</p>
</sec>
<sec id="s4-2">
<label>4.2</label>
<title>Connections to antagonistic and integrative hallmarks</title>
<p>Primary hallmarks feed directly into antagonistic and integrative hallmarks. Mitochondrial dysfunction generates elevated ROS, which drives oxidative stress, induces senescence (<xref ref-type="bibr" rid="B56">Helbling-Leclerc et al., 2021</xref>; <xref ref-type="bibr" rid="B19">Bourseguin et al., 2016</xref>), and impairs insulin signaling, contributing to metabolic dysregulation (<xref ref-type="bibr" rid="B88">Li et al., 2012</xref>). SASP factors secreted by senescent cells can interact with adjacent cells mediate altered intercellular communication and propagate inflammation (<xref ref-type="bibr" rid="B17">Birch and Gil, 2020</xref>). Increased serotonin levels in FA may also affect metabolic and signaling pathways beyond neurotransmission (<xref ref-type="bibr" rid="B7">Bartlett et al., 2021</xref>).</p>
<p>Ultimately, Endogenous aldehyde accumulation, a metabolic byproduct, exacerbates early HSPC exhaustion, linking metabolic dysregulation to stem cell depletion. Chronic inflammation further reinforces this process: proinflammatory FA cells produce cytokines that either directly promote HSPC attrition or create a microenvironment that drives elevated MYC expression, amplifying replicative and genotoxic stress (<xref ref-type="bibr" rid="B123">Rodr&#xed;guez et al., 2021a</xref>).</p>
</sec>
</sec>
<sec id="s5">
<label>5</label>
<title>Integrative perspective</title>
<p>The cumulative effect of primary and antagonistic hallmarks manifests as integrative hallmarks, including stem cell depletion, chronic inflammation, altered intercellular communication, and potentially dysbiosis. Together, these processes compromise tissue and systemic homeostasis, reflecting key features of aging. However, experimental evidence directly demonstrating accelerated aging in patients with FA is still lacking, and although no studies have examined the external phenotype of FA from the perspective of aging, its cellular and molecular defects, particularly in DNA repair, chromatin regulation, and mitochondrial function, recapitulate the mechanisms underlying accelerated aging.</p>
<p>FA shares similarities with syndromes such as Werner syndrome (WRN1 mutations), Hutchinson-Gilford progeria (LMNA mutations), and Cockayne syndrome (ERCC6/ERCC8 mutations) (<xref ref-type="bibr" rid="B57">Hennekam, 2020</xref>), all of which affect genome stability. FANC proteins have diverse roles, being ICL repair the most well-known, however, they might not be limited to this sole activity. Results from several studies appear promising, as they highlight new molecular mechanisms underlying FA disease progression and, simultaneously, alternative therapeutic pathways.</p>
<p>Taken together, FA provides a valuable model to study accelerated aging, illustrating the interplay between genomic instability, cellular stress responses, metabolic dysfunction, inflammation, and stem cell exhaustion. Studying FA offers unique insights into fundamental aging mechanisms and the relationship between aging and cancer, with significant implications for developing targeted therapies and understanding age-associated disease processes.</p>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="s6">
<title>Author contributions</title>
<p>MAM-B: Investigation, Writing &#x2013; review and editing, Conceptualization, Writing &#x2013; original draft. EEM-T: Writing &#x2013; original draft, Investigation, Conceptualization, Visualization, Writing &#x2013; review and editing. UJ-F: Conceptualization, Investigation, Writing &#x2013; review and editing, Visualization, Writing &#x2013; original draft. LT: Conceptualization, Investigation, Writing &#x2013; review and editing, Writing &#x2013; original draft. MF-R: Investigation, Writing &#x2013; review and editing. BGT: Writing &#x2013; review and editing, Investigation. JCG-V: Writing &#x2013; review and editing. JM-Z: Writing &#x2013; review and editing. AR: Writing &#x2013; review and editing. SS: Writing &#x2013; review and editing. BM: Writing &#x2013; review and editing. SF: Investigation, Writing &#x2013; original draft, Funding acquisition, Conceptualization, Data curation, Supervision, Project administration, Writing &#x2013; review and editing.</p>
</sec>
<ack>
<title>Acknowledgements</title>
<p>We express our gratitude to biologists Mar&#x00ED;a de la Luz Velasco, Oscar Castro, and Armando Garc&#x00ED;a for their dedicated work in the diagnosis of Fanconi anemia, and to Mar&#x00ED;a de la Paz Ruiz for her valuable secretarial support. We also extend our sincere appreciation to the patients with Fanconi anemia, anemia, whose strength and resilience continue to inspire our work.</p>
</ack>
<sec sec-type="COI-statement" id="s8">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s9">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="s11">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fragi.2026.1752160/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fragi.2026.1752160/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table2.docx" id="SM2" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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