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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Genet.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Genetics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Genet.</abbrev-journal-title>
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<issn pub-type="epub">1664-8021</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-id pub-id-type="publisher-id">1768485</article-id>
<article-id pub-id-type="doi">10.3389/fgene.2026.1768485</article-id>
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<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
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<title-group>
<article-title>Low-dose X-Ray induced genetic damage in human peripheral blood lymphocytes</article-title>
<alt-title alt-title-type="left-running-head">Villalba-Rond&#xf3;n 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/fgene.2026.1768485">10.3389/fgene.2026.1768485</ext-link>
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<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Villalba-Rond&#xf3;n</surname>
<given-names>Laura Camila</given-names>
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<sup>1</sup>
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<given-names>Laura</given-names>
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<sup>1</sup>
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<surname>Jaramillo-Garz&#xf3;n</surname>
<given-names>William</given-names>
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<sup>2</sup>
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<sup>3</sup>
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<surname>Rangel</surname>
<given-names>Nelson</given-names>
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<sup>4</sup>
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<surname>Rond&#xf3;n-Lagos</surname>
<given-names>Milena</given-names>
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<sup>1</sup>
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<aff id="aff1">
<label>1</label>
<institution>Escuela de Ciencias Biol&#xf3;gicas, Universidad Pedag&#xf3;gica y Tecnol&#xf3;gica de Colombia</institution>, <city>Tunja</city>, <country country="CO">Colombia</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Grupo de F&#xed;sica M&#xe9;dica, Universidad Nacional de Colombia</institution>, <city>Bogot&#xe1;</city>, <country country="CO">Colombia</country>
</aff>
<aff id="aff3">
<label>3</label>
<institution>Grupo de Investigaci&#xf3;n en Medicina Veterinaria y Zootecnia (GIDIMEVETZ), Universidad Pedag&#xf3;gica y Tecnol&#xf3;gica de Colombia</institution>, <city>Tunja</city>, <country country="CO">Colombia</country>
</aff>
<aff id="aff4">
<label>4</label>
<institution>Departamento de Nutrici&#xf3;n y Bioqu&#xed;mica, Facultad de Ciencias, Pontificia Universidad Javeriana</institution>, <city>Bogot&#xe1;</city>, <country country="CO">Colombia</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Milena Rond&#xf3;n-Lagos, <email xlink:href="mailto:sandra.rondon01@uptc.edu.co">sandra.rondon01@uptc.edu.co</email>; Nelson Rangel, <email xlink:href="mailto:rangeljne@javeriana.edu.co">rangeljne@javeriana.edu.co</email>
</corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-25">
<day>25</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1768485</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>31</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Villalba-Rond&#xf3;n, V&#xe9;lez-Lemus, Jaramillo-Garz&#xf3;n, Pulido-Medell&#xed;n, Rangel and Rond&#xf3;n-Lagos.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Villalba-Rond&#xf3;n, V&#xe9;lez-Lemus, Jaramillo-Garz&#xf3;n, Pulido-Medell&#xed;n, Rangel and Rond&#xf3;n-Lagos</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-25">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>X-rays (XR) are electromagnetic waves capable of inducing significant biological effects in living organisms. Although widely used in medicine and industry, the impact of low-dose XR exposure on human health remains insufficiently characterized. XR can generate direct and indirect DNA damage such as single- and double-strand breaks, base modifications, and DNA&#x2013;protein crosslinks, leading to chromosomal alterations that disrupt cellular homeostasis and may contribute to disease development. Although previous studies have reported general increases in cytogenetic damage at low exposures, they seldom provide detailed descriptions of which chromosomes are most affected, which structural or numerical alterations predominate, or how frequently each alteration occurs. This study aimed to characterize the type and frequency of chromosomal alterations and the spectrum of genetic damage, including both clonal and non-clonal alterations, in human lymphocytes exposed <italic>in vitro</italic> to a low X-ray dose (94.33&#xa0;mGy), using non-exposed samples as controls. Peripheral blood was collected from 12 healthy donors, and genetic damage was assessed using GTG-banding cytogenetics and the cytokinesis-block micronucleus assay. Irradiated samples exhibited a significantly higher frequency of chromosomal alterations and fragile sites compared with their respective controls (p &#x2264; 0.0093). Among numerical alterations, monosomies were the most frequent, with chromosomes 8 and 21 being the most commonly affected, detected in 50% of irradiated samples. Structural chromosomal alterations predominantly involved chromosomes 11, 16, and 17, while recurrent deletions included del(15)(q22) and del(16)(q12). Among heterochromatic variants, chtb(9)(q12) was the most frequent, and fra(9)(q12) represented the most prevalent fragile site. MN frequency increased significantly after irradiation (p &#x3d; 0.0214), and women exhibited higher MN frequencies than men regardless of treatment (p &#x3d; 0.0224). Overall, these findings indicate that low-dose XR exposure is associated with detectable chromosomal damage and underscore the relevance of biosafety practices and cytogenetic monitoring approaches in contexts involving XR exposure, even at doses traditionally considered safe.</p>
</abstract>
<kwd-group>
<kwd>chromosomal abnormalities</kwd>
<kwd>genotoxicity</kwd>
<kwd>low-dose radiation</kwd>
<kwd>micronuclei</kwd>
<kwd>x-rays</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="4"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="62"/>
<page-count count="13"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cytogenomics</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<label>1</label>
<title>Introduction</title>
<p>XR are a form of ionizing radiation widely used in medical imaging, industrial testing, and research applications. During diagnostic procedures, both patients and healthcare personnel may be exposed to low doses of XR (&#x3c;100&#xa0;mGy). The ionization produced by this type of radiation can induce physical, chemical, and biological damage in living organisms. Historically, nuclear events such as those in Hiroshima, Nagasaki, and Chernobyl have revealed the devastating effects of ionizing radiation on human health, including skin burns, ocular lens damage, thyroid dysfunction, and an increased risk of cancer, particularly leukemia (<xref ref-type="bibr" rid="B57">UNSCEAR, 2020</xref>). The biological effects of ionizing radiation have been extensively studied for decades, with most research focused on high-dose exposures. Although the detrimental consequences of high-dose radiation are well established, the biological impact of low-dose XR exposure on chromosomal integrity remains less clear and continues to be a matter of debate, as contradictory findings persist (<xref ref-type="bibr" rid="B3">BEIR VII, 2006</xref>; <xref ref-type="bibr" rid="B59">WHO, 2023</xref>). Several studies have shown that low-dose XR can induce DNA double-strand breaks, MN formation, sister chromatid exchanges, and other chromosomal abnormalities, suggesting that even minimal exposure may compromise genome stability (<xref ref-type="bibr" rid="B22">Huang et al., 2003</xref>; <xref ref-type="bibr" rid="B50">Rothkamm and L&#xf6;brich, 2003</xref>). However, other investigations report negligible or transient effects, proposing the existence of efficient DNA repair mechanisms or adaptive responses that mitigate chromosomal damage at low doses (<xref ref-type="bibr" rid="B56">Tubiana et al., 2006</xref>). These inconsistencies highlight the need for more comprehensive and standardized studies to clarify the true chromosomal consequences of low-dose XR exposure. A deeper understanding of these subtle yet potentially cumulative effects is essential for accurately assessing long-term health risks and refining radioprotection strategies aimed at safeguarding both, patients and occupationally exposed individuals (<xref ref-type="bibr" rid="B26">INSST, 2025</xref>).</p>
<p>Several studies have documented the harmful health effects of XR exposure, leading to the establishment of annual dose limits for individuals with occupational exposure, such as nuclear power plant workers (<xref ref-type="bibr" rid="B24">ICRP, 2007</xref>). Notably, epidemiological evidence indicates that children exposed to multiple computed tomography scans show an increased risk of developing leukemia and brain tumors (<xref ref-type="bibr" rid="B20">Henry and Arcangeli, 2021</xref>).</p>
<p>Despite these findings, a substantial knowledge gap persists regarding the biological consequences of low-dose XR exposure. In particular, there is limited consensus on the types of chromosomal alterations most reliably induced at low doses (e.g., losses, gains, dicentrics, translocations, deletions, MN, or locus-specific breaks) and on their frequency, which appears highly variable across studies (<xref ref-type="bibr" rid="B50">Rothkamm and L&#xf6;brich, 2003</xref>; <xref ref-type="bibr" rid="B53">Smith et al., 2003</xref>). Inconsistencies arise from differences in detection methods, dose-rate conditions and cell types examined, making it difficult to determine whether low-dose XR induce chromosomal alterations detectable through sensitive cytogenetic assays (<xref ref-type="bibr" rid="B9">Bryant et al., 2010</xref>). This gap is particularly relevant given that the general population is continuously exposed to ionizing radiation, both, from natural sources, such as cosmic rays, terrestrial radiation, and radionuclides contained in minerals, and from artificial sources, including XR-emitting equipment used in diagnostic and therapeutic procedures (<xref ref-type="bibr" rid="B44">NCRP, 2009</xref>).</p>
<p>The limited understanding of the genetic and chromosomal risks associated with low-intensity exposures hinders accurate risk assessment and the development of effective radioprotection strategies, as most low-dose studies report general increases in cytogenetic damage without detailing the affected chromosomes, the predominant types of alterations, their clonal or non-clonal nature, or their frequency. This is particularly relevant because even low-dose exposures may generate cumulative genetic damage and increase the risk of chronic diseases, including cancer. Therefore, a detailed characterization of the type, frequency, and spectrum of chromosomal alterations induced by low-dose XR exposure is essential to better elucidate its biological effects and to support public health protection strategies.</p>
<p>In this context, the present study aimed to characterize the cytogenetic effects of low-dose XR exposure in human peripheral blood lymphocytes <italic>in vitro</italic>, focusing on the type and frequency of numerical and structural chromosomal alterations, including both clonal and non-clonal events, and the overall spectrum of genetic damage, using non-exposed samples as controls. Our findings demonstrate that even low-dose XR exposure can induce numerical and structural chromosomal alterations, increase MN frequency, and enhance chromosomal fragility. These results provide important insights into the biological consequences of low-dose radiation and underscore the need to strengthen biosafety measures and radioprotection strategies for individuals exposed to XR, even at doses traditionally considered safe.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2-1">
<label>2.1</label>
<title>Study population</title>
<p>The study included twelve (12) healthy volunteers over 18&#xa0;years of age, divided into two age groups. Group 1 comprised three (3) men and three (3) women aged 20&#x2013;25&#xa0;years, while Group 2 comprised three (3) men and three (3) women aged 26&#x2013;30&#xa0;years (<xref ref-type="table" rid="T1">Table 1</xref>). Exclusion criteria included a history of occupational or recent medical exposure to XR, as well as the presence of medical conditions such as liver disease, diabetes mellitus, anemia, thyroid disorders, cancer, or epilepsy.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Distribution of participants by age group.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Demographic characteristics</th>
<th align="center">Age group 1 (20&#x2013;25&#xa0;years)</th>
<th align="center">Age group 2 (26&#x2013;30&#xa0;years)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Number</td>
<td align="center">
<italic>6</italic>
</td>
<td align="center">6</td>
</tr>
<tr>
<td align="left">Age (mean &#xb1; SD)</td>
<td align="center">22.5 &#x2b;/- 1.6</td>
<td align="center">27.2 &#x2b;/- 1.6</td>
</tr>
<tr>
<td align="left">Male (n)</td>
<td align="center">3</td>
<td align="center">3</td>
</tr>
<tr>
<td align="left">Female (n)</td>
<td align="center">3</td>
<td align="center">3</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SD, standard deviation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The study was conducted in accordance with the Declaration of Helsinki and was approved by the Ethics Committee of the Universidad Pedag&#xf3;gica y Tecnol&#xf3;gica de Colombia (approval date: 12 September 2024). Written informed consent was obtained from all participants.</p>
</sec>
<sec id="s2-2">
<label>2.2</label>
<title>Sample collection</title>
<p>Peripheral blood samples were collected from the twelve (12) participants by venipuncture into three (3) 5-mL Vacutainer&#xae; tubes containing sodium heparin (BD Ref. 367874). Standardized harvest protocols were applied.</p>
</sec>
<sec id="s2-3">
<label>2.3</label>
<title>Determination of the X-rays dose for <italic>in vitro</italic> blood sample irradiation</title>
<p>To determine the minimum dose at which cytogenetic alterations in blood cells become detectable, eight peripheral blood samples from the same donor were irradiated <italic>in vitro</italic> with XR, each receiving a distinct dose: 2.8 mGy, 7.8 mGy, 9.9 mGy, 15.1 mGy, 22.6 mGy, 47.8 mGy, 72.5 mGy, or 94.3&#xa0;mGy. These doses correspond to typical exposure levels encountered by patients and healthcare workers during medical diagnostic imaging procedures (<xref ref-type="bibr" rid="B31">Katsura et al., 2016</xref>). During irradiation, the blood samples were positioned at the center of the XR beam generated by an industrial XR unit (ICM SITEX) operated at 170&#xa0;kV for 2.1&#xa0;min. To replicate the irradiation conditions of a standard adult in an anteroposterior (AP) projection, a polymethyl methacrylate (PMMA) acrylic plate (30 &#xd7; 30&#xa0;cm, 10&#xa0;mm thick) was used to simulate soft tissue, approximating the depth of the first major blood vessel (the internal thoracic artery) in the AP projection. The entrance dose for each sample was measured using a PTW-DIADOS E dosimetric system.</p>
<p>Based on this standardization process, a dose of 94.3&#xa0;mGy was selected for subsequent sample irradiation. This dose falls within the low-dose XR range, yet is sufficiently high to induce early cytogenetic responses, as doses in the range of &#x223c;50&#x2013;100&#xa0;mGy have been consistently shown to reliably generate detectable DNA double-strand breaks in human cells (<xref ref-type="bibr" rid="B28">Jain et al., 2023</xref>; <xref ref-type="bibr" rid="B50">Rothkamm and L&#xf6;brich, 2003</xref>; <xref ref-type="bibr" rid="B62">Yamashita and Suda, 2021</xref>), as well as low-frequency of chromosomal alterations and MN measurable by standard cytogenetic assays (<xref ref-type="bibr" rid="B38">Mitchell and Norman, 1987</xref>; <xref ref-type="bibr" rid="B52">Shimura and Kojima, 2018</xref>; <xref ref-type="bibr" rid="B62">Yamashita and Suda, 2021</xref>). At this level, radiation exposure remains radiologically safe while providing a biologically informative window in which subtle radiation-induced chromosomal alterations can be detected and characterized. Therefore, 94.3&#xa0;mGy was selected as an appropriate reference dose for evaluating the impact of low-dose XR on chromosomal integrity.</p>
</sec>
<sec id="s2-4">
<label>2.4</label>
<title>Cytogenetic analysis (GTG-banding)</title>
<p>GTG-banding chromosome analysis was applied to evaluate numerical and structural chromosomal alterations induced by low-dose XR exposure in human lymphocytes. This technique enables the identification of all types of numerical and structural alterations, including deletions, translocations, inversions, dicentric and ring chromosomes. The use of GTG-banding provides a comprehensive visualization of radiation-induced damage across the entire karyotype, allowing precise classification of both, classical radiation markers (dicentric and ring chromosomes) and additional structural rearrangements within a single analytical framework.</p>
<p>Metaphases were obtained using standard harvesting protocols for GTG banding. Briefly, both irradiated and non-irradiated peripheral blood samples, were cultured in duplicate using RPMI 1640 medium (Sigma, St. Louis, MO, United States), supplemented with 10% fetal bovine serum (Sigma, St. Louis, MO, United States), and 150&#xa0;&#xb5;L of phytohemagglutinin M (Gibco, Life Technologies, Waltham, MA, United States). Cultures were incubated at 37&#xa0;&#xb0;C in a humidified atmosphere containing 5% CO<sub>2</sub> for 72&#xa0;h. Bromodeoxyuridine (BrdU) was not added to the culture medium. After incubation, colchicine (0.03&#xa0;&#x3bc;g/mL; Sigma) was added for 30&#xa0;min to arrest cells in metaphase. The samples were then subjected to hypotonic treatment with 0.075&#xa0;M KCl and fixed three times in freshly prepared Carnoy&#x2019;s fixative (methanol:acetic acid, 3:1).</p>
<p>Chromosomal spreads were prepared and GTG-banded using 0.25% trypsin (Gibco, Life Technologies, Waltham, MA, United States), followed by Giemsa staining (Sigma, St. Louis, MO, United States). Metaphase analysis, image capture, and karyotype assembly were performed using an Olympus microscope equipped with Cytovision System 7.4 software (Leica Biosystems, Richmond, IL, United States). For each sample (irradiated and non-irradiated), between 20 and 25 well-spread metaphases with optimal morphology were analyzed, selected from at least two different slides.</p>
<p>Chromosomal alterations (CAs), including both numerical and structural aberrations, as well as chromosomal variants (CVs) such as chromatid breaks (chtb) and chromosomal breaks (chrb), fragilities (fra) and heterochromatin increased on the long arm of chromosomes 9 (9qh&#x2b;) and 16 (16qh&#x2b;), were evaluated in a total of 586 metaphases (295 from irradiated and 291 from non-irradiated samples). All CAs and CVs were classified according to the International System for Human Cytogenomic Nomenclature 2024 (ISCN) (<xref ref-type="bibr" rid="B19">Hastings et al., 2024</xref>). Fragile sites were identified in GTG-banded metaphases as recurrent chromosomal gaps, constrictions, or non-staining regions affecting one or both chromatids without complete chromosomal breakage. Fragilities were reported following the ISCN 2024 (<xref ref-type="bibr" rid="B19">Hastings et al., 2024</xref>).</p>
</sec>
<sec id="s2-5">
<label>2.5</label>
<title>Cytokinesis-block micronucleus (CBMN) assay</title>
<p>The CBMN assay was performed according to the standardized protocol described by <xref ref-type="bibr" rid="B15">Fenech (2007)</xref>. Briefly, peripheral blood samples from each participant, both irradiated and non-irradiated, were cultured in duplicate in 5&#xa0;mL of RPMI 1640 medium (Sigma), supplemented with 10% fetal bovine serum (Sigma) and 150&#xa0;&#xb5;L of phytohemagglutinin M (Gibco). The cultures were incubated at 37&#xa0;&#xb0;C in a humidified atmosphere containing 5% CO<sub>2</sub> for 44&#xa0;h. Subsequently, cytochalasin B (Sigma) was added at a final concentration of 5&#xa0;&#x3bc;g/mL, and incubation continued until a total culture time of 72&#xa0;h was reached.</p>
<p>After incubation, the cells were subjected to hypotonic treatment with 0.075&#xa0;M KCl for 8&#xa0;min, followed by fixation in Carnoy&#x2019;s solution (methanol:acetic acid, 3:1). Fixed cell suspensions were spread onto clean glass slides and stained with 5% (v/v) Giemsa for 12&#xa0;min.</p>
<p>MN, nucleoplasmic bridges (NPB), and nuclear buds (NBUD) were identified in 1,000 binucleated cells per sample (irradiated and non-irradiated). Image acquisition and scoring were performed using an Olympus microscope equipped with Cytovision System 7.4 software (Leica Biosystems, Richmond, IL, United States). The identification of MN, NPB, and NBUD was based on the morphological criteria established by <xref ref-type="bibr" rid="B14">Fenech (2000)</xref>.</p>
</sec>
<sec id="s2-6">
<label>2.6</label>
<title>Statistical analysis</title>
<p>All cytogenetic parameters were analyzed to compare irradiated and non-irradiated samples. GTG-banding data were evaluated using Fisher&#x2019;s exact test, Student&#x2019;s t-test, and the unpaired Mann&#x2013;Whitney&#x2013;Wilcoxon test to account for parametric and non-parametric distributions. Data normality and homogeneity of variances were assessed with the Shapiro&#x2013;Wilk and Bartlett tests, respectively. The effects of irradiation status (irradiated vs. non-irradiated), sex (male vs. female), and their interaction on the frequencies of MN, NPB, and NBUD were assessed using a two-way ordinary ANOVA, with assumptions of normality and variance homogeneity verified prior to analysis. Paired <italic>t</italic>-tests were applied to determine whether differences between irradiated and non-irradiated samples were statistically significant. All analyses were performed using GraphPad Prism seven and RStudio (version 4.0.2). Data are presented as mean &#xb1; standard error of the mean (SEM), and statistical significance was defined at <italic>p</italic> &#x2264; 0.05, with additional thresholds of <italic>p</italic> &#x2264; 0.01 and <italic>p</italic> &#x2264; 0.001 where appropriate.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<label>3</label>
<title>Results</title>
<sec id="s3-1">
<label>3.1</label>
<title>Exposure to low doses of XR induces numerical and structural chromosomal alterations</title>
<p>Cytogenetic analysis using GTG-banding was performed on both irradiated and non-irradiated samples, revealing a consistent diploid modal number (2n) in all cases. According to international recommendations for constitutional cytogenetic studies (<xref ref-type="bibr" rid="B10">CCMG-CCGM National Office, 2021</xref>; <xref ref-type="bibr" rid="B47">Ozkan and Lacerda, 2023</xref>), the analysis of 10&#x2013;20 metaphases is generally considered sufficient to obtain reliable cytogenetic information. In the present study, the evaluation of 25 metaphases per individual was selected to allow a descriptive characterization of numerical and structural chromosomal alterations, including both clonal and non-clonal events, without any biodosimetric purpose. This approach is consistent with experimental cytogenetic studies assessing radiation-induced chromosomal aberrations rather than dose estimation (<xref ref-type="bibr" rid="B34">Kote-Jarai et al., 2006</xref>).</p>
<p>In total, 586 metaphases were examined (295 from irradiated and 291 from non-irradiated samples), all of which exhibited adequate morphology and high-quality chromosomal spreading. The small difference in the number of analyzed metaphases between groups is attributable to inter-individual variation in the mitotic index among the samples included in the study.</p>
<p>A significantly higher frequency of chromosomal alterations (CA) and fragile sites (fra) was observed in irradiated samples (269 alterations) compared to their respective non-irradiated controls (174 alterations) (p &#x2264; 0.0093; unpaired Mann&#x2013;Whitney&#x2013;Wilcoxon test) (<xref ref-type="table" rid="T2">Table 2</xref>; <xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Frequencies and percentages of chromosomal alterations (CAs) and chromosomal variants (CVs) identified in irradiated (MI) and non-irradiated (MC) lymphocyte samples.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">CAs and CVs</th>
<th colspan="3" align="center">Number of alterations</th>
</tr>
<tr>
<th align="left">&#x200b;</th>
<th align="center">MI n (%)</th>
<th align="center">MC n (%)</th>
<th align="center">p</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td>NCAs</td>
<td align="center">190 (64.4)</td>
<td align="center">44 (15.12)</td>
<td align="center">0.0001&#x2a;&#x2a;</td>
</tr>
<tr>
<td>Monosomies</td>
<td align="center">138 (46.78)</td>
<td align="center">20 (6.87)</td>
<td align="center">0.0001&#x2a;&#x2a;</td>
</tr>
<tr>
<td>Trisomies</td>
<td align="center">49 (16.61)</td>
<td align="center">24 (8.24)</td>
<td align="center">0.0025&#x2a;</td>
</tr>
<tr>
<td>Polyploidies</td>
<td align="center">3 (1.01)</td>
<td align="center">0 (0)</td>
<td align="center">0.2488</td>
</tr>
<tr>
<td>SCAs</td>
<td align="center">28 (9.5)</td>
<td align="center">5 (1.71)</td>
<td align="center">0.0001&#x2a;&#x2a;</td>
</tr>
<tr>
<td>chtb/chrb</td>
<td align="center">18 (6.1)</td>
<td align="center">11 (3.78)</td>
<td align="center">0.2531</td>
</tr>
<tr>
<td>fra</td>
<td align="center">3 (1.01)</td>
<td align="center">0 (0)</td>
<td align="center">0.2488</td>
</tr>
<tr>
<td>fra(9)(q12)</td>
<td align="center">28 (9.5)</td>
<td align="center">14 (4.81)</td>
<td align="center">0.0364&#x2a;</td>
</tr>
<tr>
<td>Heteromorphisms</td>
<td align="center">2 (0.68)</td>
<td align="center">0 (0)</td>
<td align="center">0.4992</td>
</tr>
<tr>
<td>Total alterations</td>
<td align="center">269</td>
<td align="center">74</td>
<td align="center">0.0001&#x2a;&#x2a;</td>
</tr>
<tr>
<td>Mean</td>
<td align="center">33.63</td>
<td align="center">9.25</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td>SD</td>
<td align="center">45.2</td>
<td align="center">9.51</td>
<td align="left">&#x200b;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>MI, irradiated samples; MC, non-irradiated control samples; CAs, chromosomal alterations; CVs, chromosomal variants; NCAs, numerical chromosomal alterations; SCAs, structural chromosomal alterations; chtb, chromatid break; chrb, chromosomal break; fra, fragilities; fra(9)(q12), fragility in the long arm of chromosome 9, region 1, band 2; SD, standard deviation. &#x2a;Statistically significant differences compared with non-irradiated control samples at p &#x2264; 0.05. &#x2a;&#x2a;Statistically significant differences compared with non-irradiated control samples at p &#x2264; 0.01 (Fisher&#x2019;s exact test).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Numerical and structural chromosomal alterations and heteromorphisms in irradiated (MI) and corresponding non-irradiated control samples (MC). <bold>(A)</bold> Numerical chromosomal alterations. <bold>(B)</bold> Structural chromosomal alterations. <bold>(C)</bold> Chromosomal heteromorphisms. Each column represents an individual sample (irradiated or control), and each row corresponds to a chromosome exhibiting an alteration or heteromorphism. The type of alteration is indicated by the color code shown at the bottom of the figure. end, endoreduplication; chte, chromatid exchange; del, deletion; dic, dicentric chromosome; i, isochromosome; inv, inversion; r, ring chromosome; tas, telomeric associations; add, additional material of unknown origin; chtb, chromatid breaks; chrb, chromosomal breaks; fra, fragile sites; qh&#x2b;, increased heterochromatin in the long arm.</p>
</caption>
<graphic xlink:href="fgene-17-1768485-g001.tif">
<alt-text content-type="machine-generated">Three heatmaps display chromosomal abnormalities across multiple samples of chromosomes 1 through Y. Panel A shows gains in blue and losses in red for numerical aberrations. Panel B uses multiple colors to indicate structural aberrations such as deletions, dicentrics, inversions, and others. Panel C highlights fragile sites, bands, and heteromorphisms with distinct shades of blue, green, gray, and black. Each heatmap is organized by chromosome number vertically and sample identifier horizontally.</alt-text>
</graphic>
</fig>
<p>In the irradiated samples, 295 metaphases were analyzed, identifying 190 numerical chromosomal alterations (NCAs) and 28 structural chromosomal alterations (SCAs), present in all evaluated cases (100%). Additionally, 18 chromatid or chromosomal breaks (chtb/chrb) were detected in 92% of the samples, along with two chromosomal heteromorphisms (9qh&#x2b; and 16qh&#x2b;) and 31 fragile sites (fra) in 83.3% of the samples. Among the NCAs, monosomies were the most frequent (46.78%), followed by trisomies (16.61%) and polyploidies (1.01%). Chromosomes 8 and 21 were the most frequently affected by monosomies (8.7%), detected in 50% of irradiated samples. In contrast, most trisomies corresponded to marker chromosomes (63.5%), observed in 92% of cases (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<p>A total of 28 SCAs were identified in all irradiated samples (100%) (<xref ref-type="table" rid="T2">Table 2</xref>). The most frequent SCAs were deletions (50%), followed by additional material of unknown origin (add, 14.28%), inversions (inv, 10.71%), isochromosomes (i, 7.14%), and ring chromosomes (r, 7.14%). Less common alterations included dicentric chromosomes (dic), chromatid exchanges (chte), and telomeric associations (tas), each with a frequency of 3.57%. Chromosomes 11, 16, and 17 were the most frequently involved in SCAs. Among deletions, del(15)(q22) and del(16)(q22) were observed in two irradiated samples (16.66%). Chromatid and chromosomal breaks (chtb/chrb) were observed in all irradiated samples, with chtb(9)(q12) being the most frequent (16.66%), present in three samples (25%).</p>
<p>Analysis of chromosomal fragility revealed a higher frequency of chromosomal fragilities in irradiated samples compared with non-irradiated controls. Fragilities were identified as recurrent gaps or constrictions observed in GTG-banded metaphases and were classified according to ISCN nomenclature (ISCN 2024). Among the detected fragile sites, fra(9)(q12) was the most prevalent, observed in 83.3% of the irradiated samples (90.32% of total identified fra). Other fragile regions were detected sporadically and at markedly lower frequencies.</p>
<p>A total of 291 metaphases were analyzed in the non-irradiated control samples. 44 numerical NCAs were identified in all samples (100%), whereas 5 SCAs were detected in 33.3% of the samples (<xref ref-type="table" rid="T2">Table 2</xref>). Additionally, 11 chtb/chrb were observed in 33.3% of the samples, while 14 fra(9)(q12) were detected in 66.6% of the samples. Among the NCAs, trisomies were the most frequent (8.24%), followed by monosomies (6.87%). Chromosome X was the most commonly affected by monosomies, detected in 16.6% of the control samples. Most trisomies corresponded to marker chromosomes (33.3%), present in 58.3% of the samples.</p>
<p>Regarding SCAs, a total of 5 alterations were identified, of which 80% were deletions, present in 25% of the control samples. Additionally, one ring chromosome was detected. The deletions involved chromosomes 8, 9, 10, 16, and 17. chtb/chrb were observed in 33.3% of the samples, with chtb(9)(q12) being the most frequent (27.27%), detected in three samples (16.6%). Concerning chromosomal fragilities, the only one identified was fra(9)(q12), observed in 66.6% of control samples, with an overall frequency of 4.81%.</p>
<p>Comparison of chromosomal variants (CVs), NCAs, and SCAs between irradiated samples and their paired non-irradiated controls revealed statistically significant differences in 83.33% of the cases (p &#x2264; 0.02; Fisher&#x2019;s exact test) (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Comparative frequencies of chromosomal alterations (CAs) and variants (CVs) in paired irradiated (MI) and non-irradiated control (MC) lymphocyte samples.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="center">No</th>
<th colspan="6" align="center">MI</th>
<th rowspan="2" align="center">No</th>
<th colspan="6" align="center">MC</th>
<th rowspan="2" align="center">p</th>
</tr>
<tr>
<th align="center">NCA</th>
<th align="center">SCA</th>
<th align="center">fra</th>
<th align="center">chrb/chtb</th>
<th align="center">CV</th>
<th align="center">Total</th>
<th align="center">NCA</th>
<th align="center">SCA</th>
<th align="center">fra</th>
<th align="center">chrb/chtb</th>
<th align="center">CV</th>
<th align="center">Total</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">1</td>
<td align="center">10</td>
<td align="center">4</td>
<td align="center">4</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="center">21</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">2</td>
<td align="center">0.0001&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="center">2</td>
<td align="center">13</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">2</td>
<td align="center">0</td>
<td align="center">17</td>
<td align="center">2</td>
<td align="center">4</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">5</td>
<td align="center">0.0150&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="center">3</td>
<td align="center">12</td>
<td align="center">3</td>
<td align="center">1</td>
<td align="center">4</td>
<td align="center">0</td>
<td align="center">20</td>
<td align="center">3</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">3</td>
<td align="center">0.0004&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="center">4</td>
<td align="center">17</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">2</td>
<td align="center">0</td>
<td align="center">19</td>
<td align="center">4</td>
<td align="center">3</td>
<td align="center">0</td>
<td align="center">2</td>
<td align="center">2</td>
<td align="center">0</td>
<td align="center">7</td>
<td align="center">0.0256&#x2a;</td>
</tr>
<tr>
<td align="center">5</td>
<td align="center">15</td>
<td align="center">7</td>
<td align="center">3</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">26</td>
<td align="center">5</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0.0001&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="center">6</td>
<td align="center">34</td>
<td align="center">3</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">41</td>
<td align="center">6</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0.0001&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="center">7</td>
<td align="center">3</td>
<td align="center">4</td>
<td align="center">6</td>
<td align="center">3</td>
<td align="center">0</td>
<td align="center">16</td>
<td align="center">7</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">5</td>
<td align="center">0.0241&#x2a;</td>
</tr>
<tr>
<td align="center">8</td>
<td align="center">18</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">22</td>
<td align="center">8</td>
<td align="center">4</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">4</td>
<td align="center">0.0004&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="center">9</td>
<td align="center">11</td>
<td align="center">2</td>
<td align="center">3</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">17</td>
<td align="center">9</td>
<td align="center">4</td>
<td align="center">2</td>
<td align="center">2</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">8</td>
<td align="center">0.1004</td>
</tr>
<tr>
<td align="center">10</td>
<td align="center">38</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">39</td>
<td align="center">10</td>
<td align="center">17</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">17</td>
<td align="center">0.0029&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="center">11</td>
<td align="center">13</td>
<td align="center">0</td>
<td align="center">7</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">21</td>
<td align="center">11</td>
<td align="center">2</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">3</td>
<td align="center">0.0002&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="center">12</td>
<td align="center">6</td>
<td align="center">1</td>
<td align="center">3</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">10</td>
<td align="center">12</td>
<td align="center">6</td>
<td align="center">1</td>
<td align="center">4</td>
<td align="center">7</td>
<td align="center">0</td>
<td align="center">18</td>
<td align="center">0.1245</td>
</tr>
<tr>
<td align="center">TOTAL</td>
<td align="center">89</td>
<td align="center">27</td>
<td align="center">32</td>
<td align="center">18</td>
<td align="center">2</td>
<td align="center">269</td>
<td align="center">TOTAL</td>
<td align="center">45</td>
<td align="center">5</td>
<td align="center">13</td>
<td align="center">11</td>
<td align="center">0</td>
<td align="center">74</td>
<td align="left">&#x200b;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>MI, irradiated samples; MC, non-irradiated control samples; NCAs, numerical chromosomal alterations; SCAs, structural chromosomal alterations; fra, fragilities; chtb, chromatid break; chrb, chromosomal break; CVs, chromosomal variants. Statistically significant differences based on the total number of chromosomal alterations (CAs) and variants (CVs) per sample compared with non-irradiated controls at p&#x2a;&#x2264;0.05; &#x2a;&#x2a;at p &#x2264; 0.01 (Fisher&#x2019;s exact test). The total number of metaphases analysed in the irradiated samples was 295, while in the non-irradiated control samples it was 291.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<label>3.2</label>
<title>Exposure to low doses of XR induces DNA damage</title>
<p>To assess the frequency of MN, nucleoplasmic bridges (NPB), and nuclear buds (NBUD), 1,000 binucleated cells were analyzed per sample in both, irradiated and corresponding non-irradiated controls, totaling 24,000 cells examined. Individual MN frequencies for irradiated samples and corresponding non-irradiated controls, are presented for each donor, revealing consistent interindividual variability (<xref ref-type="table" rid="T4">Table 4</xref>). MN frequencies were higher in irradiated samples than in non-irradiated controls in 11 out of 12 donors. Overall, irradiated samples exhibited a statistically significant increase in MN frequency compared with their respective non-irradiated controls (32.8 &#xb1; 28.6 vs. 13.5 &#xb1; 10.2; p &#x2264; 0.05; unpaired Mann&#x2013;Whitney&#x2013;Wilcoxon test) (<xref ref-type="fig" rid="F2">Figures 2</xref>, <xref ref-type="fig" rid="F3">3</xref>).</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Individual micronuclei (MN) frequencies in irradiated samples (MI) and their corresponding non-irradiated controls (MC).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">No</th>
<th align="center">MI (n)</th>
<th align="center">MC (n)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">1</td>
<td align="center">87</td>
<td align="center">11</td>
</tr>
<tr>
<td align="center">2</td>
<td align="center">96</td>
<td align="center">44</td>
</tr>
<tr>
<td align="center">3</td>
<td align="center">24</td>
<td align="center">12</td>
</tr>
<tr>
<td align="center">4</td>
<td align="center">13</td>
<td align="center">10</td>
</tr>
<tr>
<td align="center">5</td>
<td align="center">25</td>
<td align="center">14</td>
</tr>
<tr>
<td align="center">6</td>
<td align="center">10</td>
<td align="center">5</td>
</tr>
<tr>
<td align="center">7</td>
<td align="center">37</td>
<td align="center">10</td>
</tr>
<tr>
<td align="center">8</td>
<td align="center">19</td>
<td align="center">13</td>
</tr>
<tr>
<td align="center">9</td>
<td align="center">26</td>
<td align="center">13</td>
</tr>
<tr>
<td align="center">10</td>
<td align="center">15</td>
<td align="center">3</td>
</tr>
<tr>
<td align="center">11</td>
<td align="center">12</td>
<td align="center">14</td>
</tr>
<tr>
<td align="center">12</td>
<td align="center">29</td>
<td align="center">13</td>
</tr>
<tr>
<td align="center">TOTAL</td>
<td align="center">393</td>
<td align="center">162</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Individual MN frequencies for irradiated samples and corresponding non-irradiated controls, are presented for each donor, revealing consistent interindividual variability. MN, frequencies were higher in irradiated samples than in non-irradiated controls in 11 out of 12 donors.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Frequency of micronuclei (MN), nucleoplasmic bridges (NPB), and nuclear buds (NBUD) in irradiated samples (MI) and their corresponding non-irradiated controls (MC). Error bars represent the standard deviation of counts obtained from 1,000 binucleated cells per sample. &#x2a;Statistically significant differences compared with control samples (p &#x2264; 0.05; unpaired Mann&#x2013;Whitney&#x2013;Wilcoxon test).</p>
</caption>
<graphic xlink:href="fgene-17-1768485-g002.tif">
<alt-text content-type="machine-generated">Bar chart comparing frequencies per 1000 cells of MN, NPB, and NBUD between MC (blue) and MI (red) groups. MI group shows significantly higher MN frequency with an asterisk, large error bars, and minimal differences for NPB and NBUD.</alt-text>
</graphic>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Representative images of micronuclei (MN), nucleoplasmic bridges (NPB), and nuclear buds (NBUD) in irradiated samples (MI) and their corresponding non-irradiated control samples (MC). Abbreviations: MI1, irradiated sample 1; MC1, non-irradiated control sample 1; MI7, irradiated sample 7; MC7, non-irradiated control sample 7; MI12, irradiated sample 12; MC12, non-irradiated control sample 12.</p>
</caption>
<graphic xlink:href="fgene-17-1768485-g003.tif">
<alt-text content-type="machine-generated">Microscopy images in a three-column by six-row grid display stained cells labeled as MN, NPB, and NBUD across columns and MI1, MC1, MI7, MC7, MI12, and MC12 down rows, illustrating different nuclear anomalies in various sample groups.</alt-text>
</graphic>
</fig>
<p>In contrast, no statistically significant differences were observed in the frequencies of NPB or NBUD between the two groups. NPB frequencies were 6.2 &#xb1; 8.5 in the irradiated samples and 3.9 &#xb1; 3.8 in the non-irradiated controls, while NBUD frequencies were 2.4 &#xb1; 1.8 in the irradiated samples and 1.6 &#xb1; 1.5 in the non-irradiated controls (<xref ref-type="fig" rid="F2">Figures 2</xref>, <xref ref-type="fig" rid="F3">3</xref>).</p>
</sec>
<sec id="s3-3">
<label>3.3</label>
<title>Sex as determinant of genetic damage: comparison between irradiated and non-irradiated samples</title>
<p>To assess whether irradiation status and sex, influenced the frequencies of MN, NPB and NBUD, a two-way ordinary ANOVA was performed. The analysis revealed no significant interaction between irradiation status and sex (<italic>p</italic> &#x3d; 0.1432), indicating that the effect of irradiation on these cytogenetic endpoints was independent of sex.</p>
<p>However, a significant main effect of irradiation status was observed (<italic>p</italic> &#x3d; 0.0214), with irradiated individuals exhibiting higher MN frequencies compared with non-irradiated controls. A significant main effect of sex was also detected (<italic>p</italic> &#x3d; 0.0224), with women showing higher MN frequencies than men in both irradiated and non-irradiated samples. Consistent trends were observed for NPB and NBUD, although these effects did not reach statistical significance (data not shown).</p>
<p>Overall, these findings indicate that irradiation increases MN frequency and that sex-related differences exist in cytogenetic responses, with women displaying higher MN frequencies than men regardless of irradiation status This pattern suggests that women may be more susceptible to genomic instability, both at baseline and following radiation exposure (<xref ref-type="fig" rid="F4">Figure 4</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Micronuclei (MN) frequencies in non-irradiated vs. irradiated samples by sex. MN counts were significantly higher in irradiated samples compared with their corresponding controls. Women exhibited higher MN frequencies than men in both, control and irradiated samples. Data are expressed as mean &#xb1; standard deviation. &#x2a;Statistically significant differences compared with control samples (<italic>p</italic> &#x2264; 0.05, two-way ANOVA and paired <italic>t</italic>-test).</p>
</caption>
<graphic xlink:href="fgene-17-1768485-g004.tif">
<alt-text content-type="machine-generated">Bar chart comparing frequency of MN for women and men in control (black) and irradiated (gray) groups, showing higher values for irradiated groups. Statistically significant differences indicated by asterisks.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<label>4</label>
<title>Discussion</title>
<p>Ionizing radiation is an unavoidable component of the human environment, arising from both natural and anthropogenic sources, with medical X-rays representing the primary source of artificial exposure for the general population (<xref ref-type="bibr" rid="B30">Karmaker et al., 2021</xref>; <xref ref-type="bibr" rid="B27">Jackson and Bartek, 2009</xref>; <xref ref-type="bibr" rid="B57">UNSCEAR, 2020</xref>). The widespread and increasing use of diagnostic and interventional procedures has made medical XR the dominant man-made contributor to annual effective dose in many countries (<xref ref-type="bibr" rid="B4">Betlazar et al., 2016</xref>; <xref ref-type="bibr" rid="B24">ICRP, 2007</xref>). Although typically delivered at low doses, XR exposure can induce subtle yet persistent molecular and cellular effects, particularly in radiosensitive systems such as the hematopoietic compartment, leading to genome instability, impaired DNA repair, and oxidative and inflammatory responses (<xref ref-type="bibr" rid="B11">Cherednichenko et al., 2024</xref>). Despite their extensive clinical application, the subclinical and long-term genotoxic effects of low-dose XR exposure remain insufficiently characterized, underscoring the need for early detection of genetic alterations to refine radiobiological risk models and strengthen radioprotection strategies (<xref ref-type="bibr" rid="B17">Gnanasekaran, 2021</xref>).</p>
<p>In this context, a substantial knowledge gap persists regarding the type and frequency of chromosomal alterations induced by low-dose XR. Although previous studies have shown general increases in cytogenetic damage at low exposures, they rarely provide detailed descriptions of which chromosomes are most affected, which structural or numerical alterations predominate, or how frequently each alteration occurs. To address this limitation, our study employed GTG-banding to perform an <italic>in vitro</italic> cytogenetic assessment focused on the characterization of radiation-induced chromosomal damage, enabling the visualization of both clonal and non-clonal chromosomal abnormalities and providing precise information on their frequency.</p>
<p>Our results demonstrate that low-dose XR exposure induces measurable genetic and chromosomal damage in human peripheral blood lymphocytes <italic>in vitro</italic>, as reflected by increased MN formation and higher frequencies of structural and numerical chromosomal alterations associated with chromosomal instability. These findings are consistent with radiation-induced disruptions of DNA integrity and chromosomal segregation, indicative of persistent genotoxic stress. Similar cytogenetic effects have been reported in occupationally exposed populations, such as interventional radiologists chronically exposed to higher cumulative doses of ionizing radiation (<xref ref-type="bibr" rid="B33">Kochanova et al., 2023</xref>). Although differences in exposure patterns preclude direct dose&#x2013;response comparisons, our data show that a substantially lower acute dose (94.3&#xa0;mGy) is sufficient to induce significant chromosomal alterations and fragile sites compared with non-irradiated controls, reinforcing the capacity of ionizing radiation to induce cytogenetic damage.</p>
<p>Importantly, our results suggest that measurable chromosomal instability can occur at doses well below those reported in occupational settings, underscoring the sensitivity of cytogenetic endpoints for detecting radiation-induced genetic damage and supporting their utility in biomonitoring and radiobiological risk assessment.</p>
<p>In this study, monosomies were the most frequent NCAs detected after low-dose XR exposure, likely reflecting radiation-induced disruption of mitotic spindle function and cell cycle control, processes sensitive to oxidative stress (<xref ref-type="bibr" rid="B2">Bakhoum et al., 2015</xref>). Such alterations can lead to chromosome missegregation and persistent chromosomal instability across cell generations (<xref ref-type="bibr" rid="B36">Little, 2000</xref>). Chromosomes 8 and 21 were most frequently affected, appearing in 50% of irradiated samples, which suggests intrinsic chromosomal vulnerability (<xref ref-type="bibr" rid="B6">Bonassi et al., 2006</xref>; <xref ref-type="bibr" rid="B39">Mitelman et al., 2007</xref>). These findings are consistent with radiation-induced genomic instability, characterized by the persistence and accumulation of chromosomal alterations over time (<xref ref-type="bibr" rid="B6">Bonassi et al., 2006</xref>).</p>
<p>A markedly higher number of SCAs was detected in irradiated samples (28) compared with non-irradiated controls (5), underscoring the high radiosensitivity of human lymphocytes even at low XR doses. The predominant SCAs including: deletions, inversions, isochromosomes, and ring chromosomes, are consistent with radiation-induced DNA double-strand breaks (DSBs), one of the most deleterious consequences of radiation-induced damage. SCAs mainly involved chromosomes 11, 16, and 17, which contain regions enriched in genes related to cell cycle regulation and DNA damage response, potentially increasing their susceptibility to misrepair following irradiation (<xref ref-type="bibr" rid="B18">Goodarzi and Jeggo, 2013</xref>; <xref ref-type="bibr" rid="B46">Obe et al., 2002</xref>). Recurrent deletions: del(15)(q22) and del(16)(q22) further support the presence of chromosomal regions prone to radiation-induced breakage, possibly influenced by chromatin organization and replication timing (<xref ref-type="bibr" rid="B58">Wang et al., 2020</xref>).</p>
<p>In addition, the high frequency of the heterochromatic variant chtb(9)(q12) underscores the sensitivity of constitutive heterochromatin to radiation-induced damage. Pericentromeric regions such as 9q12, enriched in repetitive DNA, are particularly prone to fragility under replication stress and impaired DNA repair, a vulnerability that may be exacerbated by ionizing radiation (<xref ref-type="bibr" rid="B8">Brown and Freudenreich, 2021</xref>). These findings support the notion that radiation-induced chromosomal damage is shaped by chromosome-specific features and chromatin architecture rather than being randomly distributed across the genome (<xref ref-type="bibr" rid="B46">Obe et al., 2002</xref>; <xref ref-type="bibr" rid="B5">Bickmore and van Steensel, 2013</xref>).</p>
<p>Moreover, low-dose XR exposure induced a marked rise in chromosomal fragilities in peripheral blood lymphocytes, which are recognized as sensitive biomarkers of early radiation-induced DNA damage (<xref ref-type="bibr" rid="B1">Amundson et al., 2001</xref>). Notably, fra(9)(q12), a rare heritable fragile site associated with specific DNA sequence features, was the most prevalent site, detected in 83.3% of irradiated samples, highlighting its particular sensitivity to low-dose XR (<xref ref-type="bibr" rid="B16">Feng and Chakraborty, 2017</xref>). Unlike common fragile sites, which are broadly present and primarily induced by replication stress, fra(9)(q12) reflects site-specific genomic vulnerability that may be exacerbated by ionizing radiation. These findings are consistent with evidence that low-dose radiation can produce subtle yet cumulative genotoxic effects with potential long-term carcinogenic implications (<xref ref-type="bibr" rid="B41">Mothersill and Seymour, 2014</xref>).</p>
<p>The markedly lower frequency of chromosomal fragilities, NCAs and SCAs in non-irradiated samples, suggest that XR exposure acts as a direct inducer of chromosomal damage under the experimental conditions evaluated. This evidence underscores the biological relevance of even minimal radiation exposure, as repeated low-dose events in clinical or occupational contexts, may exert cumulative genotoxic effects with potential long-term health implications.</p>
<p>Dicentric chromosomes, although highly specific biomarkers of ionizing radiation&#x2013;induced damage, were not detected in this study. This is consistent with their intrinsic instability and strong negative selection during mitosis, which limits their persistence at metaphase, particularly at low radiation doses where their expected frequency approaches background levels (&#x223c;1/1,000 cells) (<xref ref-type="bibr" rid="B61">Wilkins et al., 2008</xref>; <xref ref-type="bibr" rid="B35">Lee Y. et al., 2019</xref>). Reliable dicentric detection typically requires first-division metaphases obtained from 48-h cultures with cell-cycle discrimination, conditions not applied here, as lymphocytes were cultured for 72&#xa0;h without BrdU to enable the characterization of both stable and unstable chromosomal alterations (<xref ref-type="bibr" rid="B35">Lee Y. et al., 2019</xref>). Under these conditions, dicentrics are likely eliminated across divisions or repaired through pathways such as non-homologous end joining or homologous recombination (<xref ref-type="bibr" rid="B42">Murmann-Konda et al., 2021</xref>). Accordingly, their absence aligns with both the low-dose exposure and the experimental design. To address this limitation, the MN assay was included as a complementary endpoint, allowing detection of unstable chromosomal damage that may not persist to metaphase.</p>
<p>Consistent with the chromosomal alterations observed in irradiated samples, MN frequency was significantly increased compared with non-irradiated controls, underscoring the sensitivity of the MN assay for detecting radiation-induced genomic damage at low doses. This finding confirms that ionizing radiation induces measurable genetic damage, in line with previous evidence showing that radiation promotes DNA strand breaks, acentric fragment formation, and subsequent MN generation during mitosis (<xref ref-type="bibr" rid="B12">Durante and Formenti, 2018</xref>). As such, MN formation represents a robust indicator of radiation-induced genomic instability and impaired DNA repair (<xref ref-type="bibr" rid="B14">Fenech, 2000</xref>; <xref ref-type="bibr" rid="B21">Holland et al., 2008</xref>; <xref ref-type="bibr" rid="B60">Wilhelm et al., 2020</xref>).</p>
<p>Additionally, MN frequency was significantly influenced by sex, with women exhibiting higher levels than men regardless of irradiation status. This difference may reflect hormonal influences, particularly estrogen-mediated effects on redox balance and genomic stability, as well as sex-related differences in oxidative damage repair capacity (<xref ref-type="bibr" rid="B51">Schmitz-Feuerhake et al., 2016</xref>; <xref ref-type="bibr" rid="B55">Topic et al., 2016</xref>; <xref ref-type="bibr" rid="B43">Narendran et al., 2019</xref>). The sex-specific increase in MN frequency after irradiation was not accompanied by a parallel rise in metaphase-detected chromosomal alterations, highlighting the distinct sensitivities of these cytogenetic endpoints. While metaphase analysis identifies alterations that persist through cell-cycle progression, the MN assay captures both chromosome breakage and whole-chromosome loss occurring during previous mitotic events, thereby reflecting earlier or transient genomic instability (<xref ref-type="bibr" rid="B15">Fenech, 2007</xref>; <xref ref-type="bibr" rid="B45">Norppa and Falck, 2003</xref>). Conversely, more stringent cell-cycle checkpoint control and more efficient elimination of heavily damaged cells in female lymphocytes may limit the progression of cells harboring complex aberrations to mitosis, resulting in lower detectable chromosomal alteration frequencies despite elevated MN levels (<xref ref-type="bibr" rid="B49">Rall-Scharpf et al., 2021</xref>; <xref ref-type="bibr" rid="B7">Broestl and Rubin, 2021</xref>). Collectively, these findings highlight the complementary nature of MN and chromosomal alteration assays and underscore the importance of considering sex as a key biological variable in radiobiological research and radiation risk assessment (<xref ref-type="bibr" rid="B29">Ji et al., 2019</xref>; <xref ref-type="bibr" rid="B25">ICRP, 2017</xref>).</p>
<p>Cytogenetic analyses, particularly the MN assay, offer a sensitive and reliable approach for detecting early radiation-induced genetic alterations and serve as biomarkers of both, exposure and effect (<xref ref-type="bibr" rid="B13">Fenech, 1993</xref>). These tools are especially valuable for occupational and environmental monitoring, including healthcare workers, chronically exposed professionals, patients undergoing radiotherapy, and populations living near radiation sources (<xref ref-type="bibr" rid="B17">Gnanasekaran, 2021</xref>; <xref ref-type="bibr" rid="B23">IAEA, 2014</xref>; <xref ref-type="bibr" rid="B40">Monteiro Gil et al., 2020</xref>). Early detection of cytogenetic damage supports preventive interventions, improves disease risk estimation, and informs evidence-based public health strategies.</p>
<p>Although the adverse health effects of high-dose radiation are well established and underpin current ICRP-based protection frameworks (<xref ref-type="bibr" rid="B54">Stewart et al., 2012</xref>), the biological consequences of chronic low-dose occupational exposure remain insufficiently characterized, particularly using genetic damage biomarkers (<xref ref-type="bibr" rid="B37">Mbutu-Austin et al., 2025</xref>). In this context, our findings demonstrate that low-dose XR exposure induces detectable chromosomal alterations, fragile sites, and MN formation in human lymphocytes, reinforcing the sensitivity of cytogenetic endpoints for monitoring radiation-induced effects.</p>
<p>Collectively, these results support the integration of cytogenetic biomarkers into radiation protection and biomonitoring strategies, especially for chronically or occupationally exposed individuals. Chromosomal alterations and MN formation are established indicators of genomic instability and have been associated with increased disease risk, including cancer, as supported by epidemiological evidence from radiation workers and atomic bomb survivors (<xref ref-type="bibr" rid="B48">Piotrowski et al., 2017</xref>). The detection of chromosomal damage at low XR doses further indicates that genome integrity may be compromised even at exposure levels traditionally considered low. Although adaptive responses such as inducible DNA repair have been described in lymphocytes (<xref ref-type="bibr" rid="B32">Kelsey et al., 1991</xref>), these mechanisms do not preclude initial damage induction, highlighting the complexity of low-dose radiation responses and the need to better understand how damage, repair capacity, and individual susceptibility interact to inform radioprotection frameworks.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<label>5</label>
<title>Conclusion</title>
<p>Low-dose XR exposure was found to induce chromosomal alterations and increase MN formation in human lymphocytes, confirming the high sensitivity of these cells to ionizing radiation. Importantly, the detailed characterization of the type and frequency of chromosomal alterations, encompassing both clonal and non-clonal events, provides refined evidence of how low-dose exposure compromises genome integrity. By delineating specific cytogenetic signatures associated with low-dose XR exposure scenarios, this work fills a critical gap in understanding the biological impact of such exposures and contributes essential data for strengthening radiobiological risk assessments and radioprotection frameworks. Furthermore, sex-related differences in MN frequency indicate that intrinsic biological factors may modulate susceptibility to radiation-induced genetic damage, underscoring the complexity of cellular responses to genotoxic stress. Overall, the findings highlight the value of cytogenetic assays as sensitive tools for biomonitoring radiation effects and support their potential to inform risk assessment, guide preventive strategies, and contribute to public health efforts aimed at minimizing long-term radiation-related health risks.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>The present research involved human participants and was reviewed and approved by the Ethics Committee of the Universidad Pedag&#xf3;gica y Tecnol&#xf3;gica de Colombia (approval date: 12 September 2024). All procedures involving human participants were conducted in strict accordance with local legislation and institutional ethical guidelines. Written informed consent was obtained from all participants prior to their inclusion in the study.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>LCV-R: Data curation, Formal analysis, Methodology, Visualization, Writing &#x2013; review and editing. LV-L: Data curation, Methodology, Visualization, Writing &#x2013; review and editing. WJ-G: Conceptualization, Methodology, Visualization, Writing &#x2013; review and editing. MP-M: Methodology, Resources, Validation, Writing &#x2013; review and editing. NR: Formal analysis, Investigation, Methodology, Visualization, Writing &#x2013; review and editing. M-RL: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review and editing.</p>
</sec>
<ack>
<title>Acknowledgements</title>
<p>We thank the participants for their willingness to take part in this study and for their valuable support.</p>
</ack>
<sec sec-type="COI-statement" id="s10">
<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="s11">
<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="s12">
<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>
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<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1045469/overview">Radhia M&#x27;Kacher</ext-link>, Cell Environment DNA Damage, Paris, France</p>
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<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3321507/overview">Galina Hovhannisyan</ext-link>, Yerevan State University, Armenia</p>
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