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<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Biomedpress</journal-id>
<journal-id journal-id-type="publisher-id">Biomedpress</journal-id>
<journal-id journal-id-type="journal_submission_guidelines">bmrat.org</journal-id>
<journal-title-group>
<journal-title>Biomedical Research and Therapy</journal-title>
</journal-title-group>
<issn publication-format="electronic">2198-4093</issn>
<issn publication-format="print">2198-4093</issn>
<publisher>
<publisher-name>Biomedpress</publisher-name>
<publisher-loc>Laos</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.15419/0ydhpf05</article-id>
<article-categories>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Potential genetic associations of acne scar phenotypes: IL1A in fibrotic scarring and CYB5R1 in atrophic scarring</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<contrib-id contrib-id-type="orcid">0000-0001-8364-6744</contrib-id>
<name>
<surname>To</surname>
<given-names>Dong-Kha</given-names>
</name>
<email>tdkha@medvnu.edu.vn</email>
<xref rid="aff1" ref-type="aff">1</xref>
<xref rid="aff2" ref-type="aff">2</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">0009-0009-6134-9453</contrib-id>
<name>
<surname>Nguyen</surname>
<given-names>Duy-Khang</given-names>
</name>
<xref rid="aff1" ref-type="aff">1</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<contrib-id contrib-id-type="orcid">0000-0002-2659-2927</contrib-id>
<name>
<surname>Nguyen</surname>
<given-names>Quynh-Giang</given-names>
</name>
<xref rid="aff1" ref-type="aff">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Duong</surname>
<given-names>Tuan-Khoi</given-names>
</name>
<xref rid="aff1" ref-type="aff">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nguyen</surname>
<given-names>Dang-Khoa</given-names>
</name>
<xref rid="aff1" ref-type="aff">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nguyen</surname>
<given-names>Hoang-Dung</given-names>
</name>
<xref rid="aff1" ref-type="aff">1</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<contrib-id contrib-id-type="orcid">0000-0002-7937-1634</contrib-id>
<name>
<surname>Bui</surname>
<given-names>Chi-Bao</given-names>
</name>
<xref rid="aff1" ref-type="aff">1</xref>
</contrib>
<aff id="aff1">
<institution>University of Health Sciences, Vietnam National University, Ho Chi Minh City, Vietnam</institution>
</aff>
<aff id="aff2">
<institution>Vinmec Ocean Park 2 Hospital, Vinmec Healthcare System, Hung Yen, Vietnam</institution>
</aff>
</contrib-group>
<author-notes>
<corresp id="cor1">Phone: <phone>+84905950205</phone>. These authors contributed equally to this work.</corresp>
</author-notes>
<pub-date date-type="pub">
<day>30</day>
<month>04</month>
<year>2026</year>
</pub-date>
<volume>13</volume>
<issue>4</issue>
<fpage>8486</fpage>
<lpage>8494</lpage>
<history>
<date date-type="received">
<day>21</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>04</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-year>2026</copyright-year>
</permissions>
<abstract>
  <p><bold>Introduction:</bold> Nearly half of individuals diagnosed with acne vulgaris develop scarring. This study aimed to investigate the genetic associations between acne scarring and six selected gene variants (<italic>CYB5R1</italic>, <italic>IL1A</italic>, <italic>TLR4</italic>, <italic>FLG</italic>, <italic>SPINK5</italic>, and <italic>TNF</italic>). <bold>Methods:</bold> We conducted a cross-sectional study at the University of Medicine and Pharmacy Hospital and the Vietnam National Hospital of Dermatology and Venereology from September 2023 to December 2024. A total of 202 acne patients were recruited and categorized into either a non-scarring cohort (n = 55) or a scarring cohort (n = 147). Patients with scars were further classified into atrophic (n = 56), hypertrophic (n = 46), and keloid (n = 45) subgroups. <bold>Results:</bold> No significant demographic or clinical differences were observed between the groups (p &gt; 0.05). Variants in <italic>CYB5R1</italic> were more frequent in the scarred group than in the non-scarred group (38.1% vs. 23.6%, p = 0.05; OR = 1.99, 95% CI: 1.00–4.15), with the highest proportion observed in patients with atrophic scars. In contrast, <italic>IL1A</italic> variants were enriched in hypertrophic and keloid (fibrotic) scars (p &lt; 0.05). The remaining evaluated genes (<italic>TNF</italic>, <italic>TLR4</italic>, <italic>FLG</italic>, and <italic>SPINK5</italic>) demonstrated no significant association with acne scarring. <bold>Conclusion:</bold> This study suggests a potential association between <italic>CYB5R1</italic> and atrophic scarring, as well as between <italic>IL1A</italic> and fibrotic scarring. These findings support the polygenic nature of acne scarring, although further validation in larger cohorts is required.</p>
</abstract>
<kwd-group>
<title>Keywords</title>
<kwd>Acne Scar</kwd>
<kwd>Genetics</kwd>
<kwd>CYB5R1</kwd>
<kwd>IL1</kwd>
<kwd>Atrophic scar</kwd>
<kwd>Fibrotic scar</kwd>
</kwd-group>
<funding-group>
<funding-statement>5050</funding-statement>
</funding-group>
</article-meta>
</front>
<body>
<sec sec-type="level-A">
  <title>INTRODUCTION</title>
  <p>Acne vulgaris is the eighth most common skin disease globally<xref ref-type="bibr" rid="ref1">1</xref> , affecting up to 85% of adolescents and often persisting into adulthood<xref ref-type="bibr" rid="ref2">2</xref>. While inflammatory lesions may resolve, nearly half of affected individuals with acne suffer from develop scarring<xref ref-type="bibr" rid="ref3">3</xref> , which can lead to result in low self-esteem, social isolation, anxiety, and depression<xref ref-type="bibr" rid="ref4">4</xref>. Scar formation can be broadly categorized divided into two primary phenotypes: those resulting from excessive tissue deposition, leading to hypertrophic or keloid scars, and those characterized by tissue loss or destruction, resulting in atrophic scars. Despite advances in acne treatment, the prevention and management of scarring remain therapeutic challenges hurdle<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref5">5</xref> , highlighting the critical need for research into acne scar morphogenesis and the early identification of individuals at elevated risk.</p>
  <p>Current evidence indicates that acne scarring results from prolonged inflammation and dysregulated wound healing, where with genetic predisposition potentially plays may play a pivotal role<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref5">5</xref>. Candidate genes implicated in inflammatory and immunological pathways, such as interleukin-1 (<italic>IL1</italic>), interleukin-6 (<italic>IL6</italic>), tumor necrosis factor (<italic>TNF</italic>), and toll-like receptor 4 (<italic>TLR4</italic>), have been associated with acne severity and inflammatory phenotypes<xref ref-type="bibr" rid="ref6">6</xref>,<xref ref-type="bibr" rid="ref7">7</xref>,<xref ref-type="bibr" rid="ref8">8</xref>,<xref ref-type="bibr" rid="ref9">9</xref>. Moreover, genes involved in skin barrier integrity and repair, including filaggrin (<italic>FLG</italic>) and serine protease inhibitor Kazal-type 5 (<italic>SPINK5</italic>), may influence scar formation by modulating epidermal homeostasis and inflammation resolution<xref ref-type="bibr" rid="ref10">10</xref>,<xref ref-type="bibr" rid="ref11">11</xref>. Additionally, the <italic>CYB5R1</italic> gene, which encodes a member of the cytochrome b5 reductase family involved in oxidative stress and ferroptosis pathways, emerges as presents a novel candidate potentially affecting extracellular matrix remodeling in acne lesions<xref ref-type="bibr" rid="ref12">12</xref>,<xref ref-type="bibr" rid="ref13">13</xref>. Collectively, these six genes represent biologically plausible candidates for investigating the genetic basis of acne scarring.</p>
  <p>However, despite growing interest in acne genetics, most research has targeted targets acne susceptibility rather than scarring outcomes<xref ref-type="bibr" rid="ref6">6</xref>,<xref ref-type="bibr" rid="ref7">7</xref>,<xref ref-type="bibr" rid="ref8">8</xref>. To date, no comprehensive study has evaluated whether polymorphisms in <italic>IL1A</italic>, <italic>TLR4</italic>, <italic>TNF</italic>, <italic>FLG</italic>, <italic>SPINK5</italic>, and <italic>CYB5R1</italic> predispose individuals to distinct acne scar phenotypes. Therefore, this study aims to investigate the correlation between these six genetic variants and acne scarring utilizing with detailed phenotypic scar characterization. By addressing this knowledge gap, our research seeks to enhance the understanding of acne scar pathogenesis and support the development of personalized approaches to in dermatological care.</p>
</sec>
<sec sec-type="level-A">
  <title>MATERIALS AND METHODS</title>
  <sec sec-type="level-B">
    <title>Patient Recruitment and Clinical Assessment </title>
    <p>This cross-sectional study was conducted at the University of Medicine and Pharmacy Hospital, and the Vietnam National Hospital of Dermatology and Venereology between September, 2023 and December, 2024. The study protocol was approved by the Institutional Review Board of the School of Medicine (approval number #MEDVNU-093) and adhered to the principles of the Declaration of Helsinki.</p>
    <p>A total of 202 patients with clinically diagnosed acne vulgaris were consecutively recruited during their outpatient dermatology visits. Eligible participants were at least 16 years of age, had a confirmed clinical diagnosis of acne vulgaris, and provided written informed consent. Patients with systemic inflammatory conditions, endocrine disorders, current immunosuppressive or systemic corticosteroid therapy, or a history of isotretinoin use within the preceding six months were excluded.</p>
    <p>Participants were stratified into two groups based on their scar status: 55 patients with acne but without visible scars (the non-scarring cohort), and 147 patients with acne scars (the scarring cohort). Clinical characteristics, including age, sex, acne phenotype (comedonal, cystic, inflammatory, or mixed), and pore size (small, medium, or large), were recorded.</p>
    <p>All patients were independently evaluated by two board-certified dermatologists, and any diagnostic discrepancies were resolved via consensus. Acne phenotypes were classified according to the criteria established by Sebastian Cruz et al. (2023)<xref ref-type="bibr" rid="ref14">14</xref>. Scar assessment was performed by the same two board-certified dermatologists utilizing the morphological classification system (atrophic, hypertrophic, and keloid) as described by Jacob et al. (2001)<xref ref-type="bibr" rid="ref15">15</xref> and Kravvas et al. (2017)<xref ref-type="bibr" rid="ref16">16</xref>. Additionally, scar severity was graded according to the Goodman &amp; Baron qualitative global scarring grading system (2006)<xref ref-type="bibr" rid="ref17">17</xref> to ensure inter-rater reliability. Any further discrepancies were resolved by consensus. Clinical assessment and peripheral blood collection were performed concurrently to ensure phenotypic-genotypic concordance for downstream association analyses.</p>
  </sec>
  <sec sec-type="level-B">
    <title>Sample Collection and DNA Extraction </title>
    <p>Peripheral venous blood samples were collected in ethylenediaminetetraacetic acid (EDTA) tubes and processed according to standardized molecular laboratory protocols. Genomic DNA was extracted using validated commercial extraction kits. DNA concentration and purity were assessed via spectrophotometric and fluorometric methods. Samples that failed to meet quality control thresholds were excluded from subsequent analyses.</p>
  </sec>
  <sec sec-type="level-B">
    <title>Single Nucleotide Polymorphism Selection and Targeted Sequencing </title>
    <p>A targeted next-generation sequencing (NGS) approach was employed, focusing on preselected single nucleotide polymorphisms (SNPs) and pathogenic variants chosen based on biological plausibility and prior clinical evidence. The six selected gene variants (<italic>CYB5R1</italic>, <italic>IL1A</italic>, <italic>TLR4</italic>, <italic>FLG</italic>, <italic>SPINK5</italic>, and <italic>TNF</italic>) represent three principal biological axes implicated in acne pathogenesis: the inflammatory response, epidermal barrier function, and lipid metabolism.</p>
    <p>Variant selection was informed by published evidence from the ClinVar and dbSNP databases, pathogenicity classification according to the American College of Medical Genetics and Genomics (ACMG) guidelines, and putative associations with inflammatory phenotypes, nodulocystic acne, and scar formation (<xref ref-type="table" rid="tab1">Table 1</xref>). For variants without assigned reference SNP cluster IDs (rsIDs), genomic coordinates and Human Genome Variation Society (HGVS) nomenclature are provided to ensure reproducibility. High-depth NGS was performed to ensure the reliable detection of both rare and common variants within the targeted loci.</p>
  <table-wrap id="tab1" orientation="portrait">
  <label>Table 1</label>
  <caption><title>Selected gene variants information</title></caption>
    <table rules="rows">
      <colgroup/>
      <thead>
        <tr>
          <th align="left"><bold>Gene variants</bold></th>
          <th align="left"><bold>rsID</bold></th>
          <th align="left"><bold>Database</bold></th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <td align="left"><italic>IL1A</italic></td>
          <td align="left"><p>rsID: Not available</p>
          <p>IL1A(NM_000575.5):c.586C&gt;T</p>
          <p>p.(Gln196Ter)</p></td>
          <td align="left"><p>ACMG:</p>
          <p>PVS1, PM2, PP3</p></td>
        </tr>
        <tr>
          <td align="left"><italic>TNF</italic></td>
          <td align="left"><p>rs281865419</p>
          <p>(NM_000594.4(TNF):c.322C&gt;T (p.Arg108Trp))</p></td>
          <td align="left">ClinVar, Pathogenic</td>
        </tr>
        <tr>
          <td align="left"><italic>TLR4</italic></td>
          <td align="left"><p>rsID: Not available</p>
          <p>TLR4(NM_138557.3):c.1390del</p>
          <p>p.(Cys464AlafsTer2)</p></td>
          <td align="left"><p>ACMG:</p>
          <p>PVS1, PM2</p></td>
        </tr>
        <tr>
          <td align="left"><italic>SPINK5</italic></td>
          <td align="left"><p>rs771730802</p>
          <p>(NM_006846.4(SPINK5):c.81+5G&gt;A)(intron variant)</p></td>
          <td align="left">ClinVar, Pathogenic</td>
        </tr>
        <tr>
          <td align="left"><italic>FLG</italic></td>
          <td align="left"><p>rs775253166</p>
          <p>NM_002016.2(FLG):c.11033_11036del (p.Ser3678fs)</p></td>
          <td align="left">ClinVar, Pathogenic</td>
        </tr>
        <tr>
          <td align="left"><italic>CYB5R1</italic></td>
          <td align="left"><p>rsID: Not available</p>
          <p>CYB5R1(NM_016243.3):c.706C&gt;T</p>
          <p>p.(Arg236Cys)</p>
          <p>CYB5R1(NM_016243.3):c.624C&gt;A</p>
          <p>p.(Cys208Ter)</p></td>
          <td align="left"><p>ACMG:</p>
          <p>PVS1, PM2</p></td>
        </tr>
      </tbody>
    </table>
  </table-wrap>
  </sec>
  <sec sec-type="level-B">
    <title>Genetic Analysis </title>
    <p>Genetic analysis was designed based on recent genome-wide association studies (GWAS) of acne vulgaris, which have identified more than 25 susceptibility loci across diverse populations<xref ref-type="bibr" rid="ref8">8</xref>,<xref ref-type="bibr" rid="ref18">18</xref>. To capture the genetic architecture relevant to acne and scarring, we selected two complementary SNP panels. First, we compiled index SNPs and their proxies (r² ≥ 0.8) reported in large meta-GWAS of acne vulgaris (including loci near <italic>FADS2</italic>, <italic>LGR5</italic>, <italic>FASN</italic>, <italic>ZNRF3-KREMEN1</italic>, <italic>HLA-C</italic>, and <italic>FLG</italic>)<xref ref-type="bibr" rid="ref8">8</xref>,<xref ref-type="bibr" rid="ref18">18</xref>. These SNPs represent established risk loci implicated in sebaceous gland biology, hair follicle development, immune regulation, and wound healing.</p>
    <p>Second, to expand genomic coverage, we included a custom array panel of approximately 4,500 SNPs, incorporating variants previously reported in dermatologic genetics studies and polymorphisms in inflammation-related, barrier-related, and extracellular matrix remodeling genes<xref ref-type="bibr" rid="ref6">6</xref>,<xref ref-type="bibr" rid="ref19">19</xref>. This panel was designed to facilitate exploratory association testing beyond the known GWAS hits, with a specific focus on genes potentially involved in scarring.</p>
    <p>Genotyping was performed using the Illumina Infinium Global Screening Array (GSA) supplemented with custom content, with quality control assessments conducted by Macrogen Inc. (Seoul, Korea). In brief, DNA samples (≥50 ng/µL, A260/280 ratio 1.8–2.0) were processed according to the manufacturer's protocols. Quality control procedures followed standard GWAS pipelines<xref ref-type="bibr" rid="ref20">20</xref>. Specifically, samples with call rates &lt;95%, sex discordance, or cryptic relatedness (pi-hat &gt;0.2) were excluded. SNP-level filters included a call rate &lt;98%, a Hardy–Weinberg equilibrium of p &lt; 1 × 10⁻⁶, and a minor allele frequency (MAF) &lt;0.01. After quality control, approximately 4,300 SNPs remained for downstream analysis.</p>
    <p>Statistical association analyses were conducted using PLINK v1.9 software. Additive genetic models were tested using logistic regression, adjusted for age, sex, and acne severity. Principal component analysis (PCA) was employed to control for population stratification, and the first five principal components (PCs) were included as covariates. Variants showing a suggestive association (p &lt; 1 × 10⁻⁴) were further annotated using ANNOVAR against the dbSNP, gnomAD, and GTEx eQTL databases. Enrichment analyses of significant SNPs were performed to identify biological pathways relevant to scar pathogenesis.</p>
  </sec>
  <sec sec-type="level-B">
    <title>Statistical Analyses </title>
    <p>IBM SPSS Statistics version 26.0 and R version 4.5.1 were utilized for the statistical analyses. Independent t-tests were used to compare continuous variables between groups, and chi-square tests were used to assess categorical relationships, with statistical significance set at p &lt; 0.05. The R programming language was used to visualize gene variant distributions and odds ratios using forest plots and heatmaps.</p>
  </sec>
</sec>
<sec sec-type="level-A">
  <title>RESULTS </title>
  <sec sec-type="level-B">
    <title>Demographic Characteristics and Prevalence of Acne Scarring </title>
    <p>Over a 16-month period, the study recruited 202 patients receiving acne treatment at the Vietnam National Hospital of Dermatology and Venereology. The participants were stratified into two groups based on scar status: a non-scarring cohort (n = 55) and a scarring cohort (n = 147). Subsequently, gene analysis was conducted, and clinical features were assessed by dermatologists. Detailed data are presented in <xref ref-type="table" rid="tab2">Table 2</xref>.</p>
  <table-wrap id="tab2" orientation="portrait">
  <label>Table 2</label>
  <caption><title>Demographic characteristics of the study groups</title></caption>
    <table rules="rows">
      <colgroup/>
      <thead>
        <tr>
          <th align="left">&#x00A0;</th>
          <th align="left"><bold>No scar (n=55)</bold></th>
          <th align="left"><bold>Scar (n=147)</bold></th>
          <th align="left"><bold>p-value</bold></th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <td align="left" colspan="4"><bold>Gender</bold></td>
        </tr>
        <tr>
          <td align="left">Female</td>
          <td align="left">23 (41.8)</td>
          <td align="left">72 (49.0)</td>
          <td align="left">0.454</td>
        </tr>
        <tr>
          <td align="left">Male</td>
          <td align="left">32 (58.2)</td>
          <td align="left">75 (51.0)</td>
          <td align="left">&#x00A0;</td>
        </tr>
        <tr>
          <td align="left"><bold>Age, years</bold></td>
          <td align="left">&#x00A0;</td>
          <td align="left">&#x00A0;</td>
          <td align="left">&#x00A0;</td>
        </tr>
        <tr>
          <td align="left">Mean (SD)</td>
          <td align="left">29.3 (7.00)</td>
          <td align="left">28.4 (7.33)</td>
          <td align="left">0.435</td>
        </tr>
        <tr>
          <td align="left">Median (IQR)</td>
          <td align="left">28 (17 - 42)</td>
          <td align="left">28 (17 - 42)</td>
          <td align="left">&#x00A0;</td>
        </tr>
        <tr>
          <td align="left" colspan="4"><bold>Acne phenotypes (%)</bold></td>
        </tr>
        <tr>
          <td align="left">Comedonal</td>
          <td align="left">18 (32.7)</td>
          <td align="left">40 (27.2)</td>
          <td align="left">0.883</td>
        </tr>
        <tr>
          <td align="left">Cystic</td>
          <td align="left">12 (21.8)</td>
          <td align="left">33 (22.4)</td>
          <td align="left">&#x00A0;</td>
        </tr>
        <tr>
          <td align="left">Inflammatory</td>
          <td align="left">12 (21.8)</td>
          <td align="left">34 (23.1)</td>
          <td align="left">&#x00A0;</td>
        </tr>
        <tr>
          <td align="left">Mixed</td>
          <td align="left">13 (23.6)</td>
          <td align="left">40 (27.2)</td>
          <td align="left">&#x00A0;</td>
        </tr>
        <tr>
          <td align="left" colspan="4"><bold>Pore size (%)</bold></td>
        </tr>
        <tr>
          <td align="left">Small</td>
          <td align="left">26 (47.3)</td>
          <td align="left">55 (37.4)</td>
          <td align="left">0.246</td>
        </tr>
        <tr>
          <td align="left">Medium</td>
          <td align="left">18 (32.7)</td>
          <td align="left">46 (31.3)</td>
          <td align="left">&#x00A0;</td>
        </tr>
        <tr>
          <td align="left">Large</td>
          <td align="left">11 (20.0)</td>
          <td align="left">46 (31.3)</td>
          <td align="left">&#x00A0;</td>
        </tr>
        <tr>
          <td align="left"><bold><italic>SPINK5</italic> (%)</bold></td>
          <td align="left">&#x00A0;</td>
          <td align="left">&#x00A0;</td>
          <td align="left">&#x00A0;</td>
        </tr>
        <tr>
          <td align="left">Found</td>
          <td align="left">19 (34.5)</td>
          <td align="left">37 (25.2)</td>
          <td align="left">0.185</td>
        </tr>
        <tr>
          <td align="left">None</td>
          <td align="left">36 (65.5)</td>
          <td align="left">110 (74.8)</td>
          <td align="left">&#x00A0;</td>
        </tr>
        <tr>
          <td align="left"><bold><italic>TNF</italic> (%)</bold></td>
          <td align="left">&#x00A0;</td>
          <td align="left">&#x00A0;</td>
          <td align="left">&#x00A0;</td>
        </tr>
        <tr>
          <td align="left">Found</td>
          <td align="left">14 (25.5)</td>
          <td align="left">46 (31.3)</td>
          <td align="left">0.419</td>
        </tr>
        <tr>
          <td align="left">None</td>
          <td align="left">41 (74.5)</td>
          <td align="left">101 (68.7)</td>
          <td align="left">&#x00A0;</td>
        </tr>
        <tr>
          <td align="left"><bold><italic>IL1A</italic> (%)</bold></td>
          <td align="left">&#x00A0;</td>
          <td align="left">&#x00A0;</td>
          <td align="left">&#x00A0;</td>
        </tr>
        <tr>
          <td align="left">Found</td>
          <td align="left">18 (32.7)</td>
          <td align="left">54 (36.7)</td>
          <td align="left">0.597</td>
        </tr>
        <tr>
          <td align="left">None</td>
          <td align="left">37 (67.3)</td>
          <td align="left">93 (63.3)</td>
          <td align="left">&#x00A0;</td>
        </tr>
        <tr>
          <td align="left"><bold><italic>CYB5R1</italic> (%)</bold></td>
          <td align="left">&#x00A0;</td>
          <td align="left">&#x00A0;</td>
          <td align="left">&#x00A0;</td>
        </tr>
        <tr>
          <td align="left">Found</td>
          <td align="left">13 (23.6)</td>
          <td align="left">56 (38.1)</td>
          <td align="left">0.05</td>
        </tr>
        <tr>
          <td align="left">None</td>
          <td align="left">42 (76.4)</td>
          <td align="left">91 (61.9)</td>
          <td align="left">&#x00A0;</td>
        </tr>
        <tr>
          <td align="left"><bold><italic>FLG</italic> (%)</bold></td>
          <td align="left">&#x00A0;</td>
          <td align="left">&#x00A0;</td>
          <td align="left">&#x00A0;</td>
        </tr>
        <tr>
          <td align="left">Found</td>
          <td align="left">13 (23.6)</td>
          <td align="left">50 (34.0)</td>
          <td align="left">0.156</td>
        </tr>
        <tr>
          <td align="left">None</td>
          <td align="left">42 (76.4)</td>
          <td align="left">97 (66.0)</td>
          <td align="left">&#x00A0;</td>
        </tr>
        <tr>
          <td align="left"><bold><italic>TLR4</italic> (%)</bold></td>
          <td align="left">&#x00A0;</td>
          <td align="left">&#x00A0;</td>
          <td align="left">&#x00A0;</td>
        </tr>
        <tr>
          <td align="left">Found</td>
          <td align="left">24 (43.6)</td>
          <td align="left">46 (31.3)</td>
          <td align="left">0.101</td>
        </tr>
        <tr>
          <td align="left">None</td>
          <td align="left">31 (56.4)</td>
          <td align="left">101 (68.7)</td>
          <td align="left">&#x00A0;</td>
        </tr>
      </tbody>
    </table>
    <table-wrap-foot>
  <p>† Abbreviations: SD, standard deviation; IQR, interquartile Range; all asterisks “*” indicate statistically significant differences: *p &lt; 0.05</p>
    </table-wrap-foot>
  </table-wrap>
    <p>No significant differences were observed between the groups regarding gender distribution, age, and clinical features (p &gt; 0.05). Genetic analysis revealed no significant differences in the proportion of variants in <italic>SPINK5</italic>, <italic>TNF</italic>, <italic>IL1A</italic>, <italic>FLG</italic>, and <italic>TLR4</italic> (p &gt; 0.05) between the non-scarring and scarring cohorts. In contrast, <italic>CYB5R1</italic> variants, though not statistically significant, demonstrated a borderline association with the scarring cohort (p = 0.05).</p>
  </sec>
  <sec sec-type="level-B">
    <title>Genetic Associations with Scarring and Non-Scarring Outcomes </title>
    <p>This genetic association study investigated the relationship between scarring risk and selected gene variants (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Notably, <italic>CYB5R1</italic> variants exhibited the strongest observed association with scarring (OR = 1.99, 95% CI: 1.00 - 4.15); however, because the confidence interval includes unity, this finding does not reach conventional statistical significance.</p>
<fig id="fig1" orientation="portrait" fig-type="graphic" position="anchor">
<label>Figure 1</label>
<caption><title><bold>Association of genetic variants with the risk of acne scarring.</bold> This forest plot illustrates the odds ratios (OR) and 95% confidence intervals (CI) for the association between acne scarring and variants in the <italic>IL1</italic>, <italic>TNF</italic>, <italic>FLG</italic>, <italic>SPINK5</italic>, <italic>CYB5R1</italic>, and <italic>TLR4</italic> genes. An OR &gt; 1 indicates an increased risk of scar formation, whereas an OR &lt; 1 suggests a protective effect. The vertical gray line represents the null value (OR = 1), indicating no statistical association.</title></caption>
<graphic xlink:href="https://static.biomedpress.org/bmrat/v13/issue%204/a4/BMRAT-042026-A4-Figure1.png"/>
</fig>
    <p>Although <italic>FLG</italic>, <italic>IL1A</italic>, and <italic>TNF</italic> variants showed odds ratios greater than 1, their wide confidence intervals overlapping with unity indicated a lack of statistical significance. Conversely, <italic>TLR4</italic> (OR = 0.59, 95% CI: 0.31 - 1.12) and <italic>SPINK5</italic> (OR = 0.64, 95% CI: 0.33 - 1.26) were associated with reduced odds, but these findings were also not statistically significant.</p>
  </sec>
  <sec sec-type="level-B">
    <title>Genetic Associations with Specific Scar Phenotypes </title>
    <p>Participants in the scarring cohort were stratified into three scar types of increasing severity: atrophic (n = 56), hypertrophic (n = 46), and keloid (n = 45). The study examined the odds ratios and the distribution of gene variants across these three scar types. Detailed data are presented in <xref ref-type="table" rid="tab3">Table 3</xref>. Significant differences in variant proportions were observed across scar types for <italic>IL1A</italic> (p = 0.020) and <italic>CYB5R1</italic> (p = 0.042). No significant differences were found for <italic>TLR4</italic>, <italic>FLG</italic>, <italic>SPINK5</italic>, or <italic>TNF</italic> (p &gt; 0.05) across the scar phenotypes.</p>
  <table-wrap id="tab3" orientation="portrait">
  <label>Table 3</label>
  <caption><title>Distribution of Gene Variants Across Diverse Scar Phenotypes</title></caption>
    <table rules="rows">
      <colgroup/>
      <thead>
        <tr>
          <th align="left" rowspan="2"><bold>Gene Variants</bold></th>
          <th align="left" colspan="2"><italic><bold>IL1A</bold></italic></th>
          <th align="left" colspan="2"><italic><bold>TLR4</bold></italic></th>
          <th align="left" colspan="2"><italic><bold>FLG</bold></italic></th>
          <th align="left" colspan="2"><italic><bold>SPINK5</bold></italic></th>
          <th align="left" colspan="2"><italic><bold>CYB5R1</bold></italic></th>
          <th align="left" colspan="2"><italic><bold>TNF</bold></italic></th>
        </tr>
        <tr>
          <th align="left">Found (n=72)</th>
          <th align="left">None</th>
          <th align="left">Found (n=70)</th>
          <th align="left">None</th>
          <th align="left">Found (n=63)</th>
          <th align="left">None</th>
          <th align="left">Found (n=56)</th>
          <th align="left">None</th>
          <th align="left">Found (n=69)</th>
          <th align="left">None</th>
          <th align="left">Found (n=60)</th>
          <th align="left">None</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <td align="left"><p><bold>No Scars</bold></p>
          <p><bold>(n = 55)</bold></p></td>
          <td align="left">18</td>
          <td align="left">37</td>
          <td align="left">24</td>
          <td align="left">31</td>
          <td align="left">13</td>
          <td align="left">42</td>
          <td align="left">19</td>
          <td align="left">36</td>
          <td align="left">13</td>
          <td align="left">42</td>
          <td align="left">14</td>
          <td align="left">41</td>
        </tr>
        <tr>
          <td align="left"><p><bold>Atrophic</bold></p>
          <p><bold>(n = 56)</bold></p></td>
          <td align="left">12</td>
          <td align="left">44</td>
          <td align="left">20</td>
          <td align="left">36</td>
          <td align="left">16</td>
          <td align="left">40</td>
          <td align="left">16</td>
          <td align="left">40</td>
          <td align="left">27</td>
          <td align="left">29</td>
          <td align="left">18</td>
          <td align="left">38</td>
        </tr>
        <tr>
          <td align="left"><p><bold>Hypertrophic</bold></p>
          <p><bold>(n = 46)</bold></p></td>
          <td align="left">20</td>
          <td align="left">26</td>
          <td align="left">11</td>
          <td align="left">35</td>
          <td align="left">18</td>
          <td align="left">28</td>
          <td align="left">11</td>
          <td align="left">35</td>
          <td align="left">16</td>
          <td align="left">30</td>
          <td align="left">17</td>
          <td align="left">29</td>
        </tr>
        <tr>
          <td align="left"><p><bold>Keloid</bold></p>
          <p><bold>(n = 45)</bold></p></td>
          <td align="left">22</td>
          <td align="left">23</td>
          <td align="left">15</td>
          <td align="left">30</td>
          <td align="left">16</td>
          <td align="left">29</td>
          <td align="left">10</td>
          <td align="left">35</td>
          <td align="left">13</td>
          <td align="left">32</td>
          <td align="left">11</td>
          <td align="left">34</td>
        </tr>
        <tr>
          <td align="left"><bold>p-value</bold></td>
          <td align="left" colspan="2"><bold>0.020*</bold></td>
          <td align="left" colspan="2">0.225</td>
          <td align="left" colspan="2">0.335</td>
          <td align="left" colspan="2">0.511</td>
          <td align="left" colspan="2"><bold>0.042*</bold></td>
          <td align="left" colspan="2">0.495</td>
        </tr>
      </tbody>
    </table>
    <table-wrap-foot>
  <p>† Abbreviations: all asterisks “*” indicate statistically significant differences: *p &lt; 0.05</p>
    </table-wrap-foot>
  </table-wrap>
    <p>The proportions of patients harboring specific gene variations across various scar types were illustrated via heatmap analysis (<xref ref-type="fig" rid="fig2">Figure 2</xref>). The proportion of the <italic>CYB5R1</italic> gene variant in atrophic scars was found to be 0.48. The proportion of the <italic>IL1A</italic> gene variant was 0.43 in hypertrophic scars and 0.49 in keloid scars. In patients without scars, the proportion of the <italic>TLR4</italic> gene variant was 0.44. Hypertrophic scars demonstrated an <italic>FLG</italic> gene variant proportion of 0.39, while keloid scars showed a variant proportion of 0.36. In patients without scars, the proportion of the <italic>SPINK5</italic> gene variant was 0.35. With values of 0.32 in atrophic scars, 0.37 in hypertrophic scars, 0.24 in keloid scars, and 0.25 in the non-scarring cohort, the <italic>TNF</italic> gene variant exhibited moderate proportions across all groups.</p>
<fig id="fig2" orientation="portrait" fig-type="graphic" position="anchor">
<label>Figure 2</label>
<caption><title><bold>Proportion of gene variants across</bold> <bold>acne</bold> <bold>scar phenotypes</bold>. This heatmap illustrates the proportion of individuals in the atrophic, hypertrophic, keloid, and non-scarring cohorts who harbored variants in the <italic>TLR4</italic>, <italic>FLG</italic>, <italic>CYB5R1</italic>, <italic>IL1</italic>, <italic>TNF</italic>, and <italic>SPINK5</italic> genes. Greater proportions are represented by darker red shading. Statistically significant differences (p &lt; 0.05) are indicated by asterisks (*).</title></caption>
<graphic xlink:href="https://static.biomedpress.org/bmrat/v13/issue%204/a4/BMRAT-042026-A4-Figure2.png"/>
</fig>
  </sec>
</sec>
<sec sec-type="level-A">
  <title>DISCUSSION</title>
  <p>This study found no significant associations between demographic factors (gender, age), clinical acne phenotypes, or pore size and the presence of acne scarring. These findings align with previous reports indicating that such variables often have limited predictive value for scarring outcomes. Moreover, we observed a potential association between <italic>CYB5R1</italic> variants and acne scarring, highlighting a possible genetic predisposition to this condition. This variant is more prevalent in the scarred cohort, presenting mostly with atrophic scars, and carries nearly double the odds of scarring (OR 1.99; CI 1.00 - 4.15), while the other gene variants showed no significant association. However, this finding was borderline and should be interpreted cautiously.</p>
  <p>According to meta-analyses, between 75 and 90 percent of acne scars are atrophic<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref21">21</xref>, with hypertrophic and keloidal scars accounting for only a small minority. Indeed, Cheng et al. discovered that approximately 78% of scars in acne patients were atrophic<xref ref-type="bibr" rid="ref3">3</xref>, consistent with older estimates of 80-90%<xref ref-type="bibr" rid="ref21">21</xref>. Therefore, genes that affect the development of atrophic scars are of significant clinical relevance in acne pathogenesis.</p>
  <p><italic>CYB5R1</italic> encodes NADH-cytochrome b5 reductase 1, a ubiquitous oxidoreductase involved in lipid metabolism, steroid biosynthesis, and drug metabolism, with strong expression in keratinocytes and mitochondria across multiple tissues. Crucially, recent mechanistic work implicates <italic>CYB5R1</italic> in the generation of reactive oxygen species (ROS) and lipid peroxidation—especially in the context of ferroptosis (iron-dependent lipid peroxidation)<xref ref-type="bibr" rid="ref22">22</xref>. <italic>CYB5R1</italic> is predicted to localize to the mitochondria and the endoplasmic reticulum and shares 63% sequence identity with the well-known <italic>CYB5R3</italic> isoform. Recent data indicate that <italic>CYB5R1</italic> can drive mitochondrial electron leakage to generate ROS<xref ref-type="bibr" rid="ref12">12</xref>.</p>
  <p>We hypothesize about the mechanisms underlying <italic>CYB5R1</italic>'s impact on scarring given its redox involvement. Our findings are consistent with new research that links <italic>CYB5R1</italic> to hydrogen peroxide production and membrane damage during ferroptotic cascades<xref ref-type="bibr" rid="ref22">22</xref>, pointing to a mechanism by which its variants increase the oxidative burden in acne-prone skin. Although ferroptosis is known to trigger inflammatory pathways, an overproduction of ROS may affect the viability or function of dermal fibroblasts, resulting in inadequate collagen deposition and cutaneous atrophy<xref ref-type="bibr" rid="ref22">22</xref>. Likewise, fibroblasts or endothelial cells in the regenerating skin may directly undergo cell death as a result of <italic>CYB5R1</italic>-mediated ferroptosis. On the other hand, hypertrophic/keloid scars are indicative of increased matrix and fibroblast activity; hence, a pro-oxidative bias may specifically predispose individuals to the atrophic phenotype. The association of <italic>CYB5R1</italic> adds a new redox-mediated dimension to scar morphogenesis, which is distinct from well-established genes like <italic>IL1A</italic> and <italic>TNF</italic>, which are well-documented in acne pathogenesis<xref ref-type="bibr" rid="ref23">23</xref>. Future research should examine whether individuals harboring the <italic>CYB5R1</italic> variant actually exhibit elevated oxidative stress or compromised fibroblast remodeling during the healing of acne lesions. Nevertheless, despite its role in regulating ferroptosis and oxidative stress—processes essential to lipid peroxidation and cellular death<xref ref-type="bibr" rid="ref12">12</xref>,<xref ref-type="bibr" rid="ref23">23</xref>—<italic>CYB5R1</italic> has not previously been studied in dermatological settings like acne or skin fibrosis.</p>
  <p>The cytokines of the IL-1 family are well-known mediators of acne inflammation and scarring. Historically, <italic>IL1A</italic> had been found to be particularly important because IL-1α activity is detected early in comedogenesis and can help initiate the inflammatory response in acne lesions<xref ref-type="bibr" rid="ref24">24</xref>. Previously, IL-1 protein levels were shown to be significantly higher in fibrotic scars, such as keloids, which indicates persistent wound inflammation<xref ref-type="bibr" rid="ref25">25</xref>; however, previous genetic research did not find any link to acne scarring<xref ref-type="bibr" rid="ref26">26</xref>. Consequently, our discovery of a significant <italic>IL1A</italic> gene variant association (p=0.020) offers compelling evidence that IL-1α signaling affects scar risk. Interestingly, <italic>IL1B</italic> was previously recognized as a major cytokine in acne<xref ref-type="bibr" rid="ref26">26</xref>; subsequently, our findings are consistent with known biology, but they also point to a new polymorphism or regulatory mechanism in the <italic>IL1A</italic> gene that was missed by previous SNP investigations.</p>
  <p>TNF-α is also a key inflammatory mediator in acne. In keloid tissues, the TNF-α protein is increased, and TNF-α mediates the immediate acne lesion response<xref ref-type="bibr" rid="ref25">25</xref>. However, SNPs in the <italic>TNF</italic> promoter, such as -308G/A, have not reliably predicted the severity or amount of scarring<xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref27">27</xref>. All scar types in our group had modest frequencies (0.24–0.37) of <italic>TNF</italic> variants. This is consistent with the complex body of evidence, as meta-analyses only find minor, population-specific effects of <italic>TNF</italic> SNPs on acne. Though its genetic contribution to scarring seems widespread and most likely involves numerous regulatory alleles rather than a single common variant, <italic>TNF</italic>'s key inflammatory role remains evident overall<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref26">26</xref>.</p>
  <p>For <italic>TLR4</italic>, the pattern was intriguing. TLR4 is an innate immune receptor that initiates MyD88/NF-κB signaling, which causes dermal fibroblasts to produce IL-6, IL-8, and MMP-1<xref ref-type="bibr" rid="ref28">28</xref>. In fact, fibroblasts exposed to UV-A exhibit elevated TLR4 expression and subsequent production of IL-6, IL-8, and MMP-1<xref ref-type="bibr" rid="ref28">28</xref>. The importance of 3′-UTR SNPs in <italic>TLR4</italic> linked to acne susceptibility has been confirmed by recent GWAS on acne<xref ref-type="bibr" rid="ref7">7</xref>. According to our study, the no-scar group had the highest proportion of the <italic>TLR4</italic> variant (44%), indicating a protective polymorphism that inhibits fibrotic/inflammatory signaling. This observation aligns with biological mechanisms; for instance, in skin models, inhibiting TLR4 reduces pro-fibrotic cytokines. Therefore, by suggesting that specific alleles may reduce scar development, our findings expand on <italic>TLR4</italic>'s recognized role in acne<xref ref-type="bibr" rid="ref7">7</xref>,<xref ref-type="bibr" rid="ref28">28</xref>.</p>
  <p>Furthermore, there were notable patterns in the genes related to skin barrier function. Filaggrin, or <italic>FLG</italic>, is necessary for epidermal cornification and hydration; ichthyosis and severe eczema result from null variants<xref ref-type="bibr" rid="ref29">29</xref>. We found <italic>FLG</italic> variants in approximately 36–39% of hypertrophic and keloid scars, despite the fact that they were previously considered to be unrelated to overall acne risk. According to this new association, barrier abnormalities may make people more likely to experience excessive fibrosis during the healing process. Similarly, <italic>SPINK5</italic> produces the protease inhibitor LEKTI, which is necessary for cornification; variants in <italic>SPINK5</italic> result in Netherton syndrome, which is characterized by scaly, irritated skin<xref ref-type="bibr" rid="ref30">30</xref>,<xref ref-type="bibr" rid="ref31">31</xref>. Interestingly, the <italic>SPINK5</italic> variant was enriched in those without scars (35%), suggesting that some <italic>SPINK5</italic> alleles may reduce inflammation that promotes scarring. These findings raise novel questions about how barrier gene variation can affect scar outcomes, because <italic>FLG</italic> and <italic>SPINK5</italic> polymorphisms have not, to our knowledge, been connected to acne scarring previously<xref ref-type="bibr" rid="ref29">29</xref>.</p>
  <p>This study has several strengths, including its detailed phenotypic characterization of acne scars (atrophic, hypertrophic, and keloid subtypes) by board-certified dermatologists using standardized classification systems, which enhances the clinical relevance of the findings. The use of a custom-expanded genotyping array allowed for the exploration of biologically plausible candidate genes beyond established GWAS loci, providing insights into potential redox-mediated mechanisms in acne scarring pathogenesis. Additionally, the cross-sectional design enabled efficient recruitment and simultaneous assessment of genetic variants and scar outcomes in a Vietnamese hospital-based cohort, where such data remain limited. However, the relatively small sample size, particularly within the scar subgroups (n = 202 overall, with scar subgroups of n = 45-56), reduces statistical power and increases the risk of type II errors. The primary association for <italic>CYB5R1</italic> variants was borderline (p = 0.050, OR = 1.99, 95% CI: 1.00-4.15), rendering it nominally significant and exploratory rather than confirmatory. The cross-sectional design prevents causal inference, and findings require replication in larger, independent cohorts for confirmation and generalizability.</p>
  <sec sec-type="level-B">
    <title>Conclusion</title>
    <p>In conclusion, our findings suggest a possible distinct role for <italic>CYB5R1</italic> and <italic>IL1A</italic> variants in atrophic and fibrotic scarring, respectively. Hypothetical mechanisms are suggested to involve oxidative stress and ferroptosis pathways, which represents a paradigm-shifting novelty, connecting redox biology with acne pathophysiology, even though the findings regarding <italic>TNF</italic>, <italic>FLG</italic>, <italic>SPINK5</italic>, and <italic>TLR4</italic> collectively build upon established inflammatory and barrier pathways in dermatology. These discoveries support the polygenic character of acne scarring and open the door for tailored treatments, such as ferroptosis inhibitors, to lessen scar formation in people who are genetically predisposed.</p>
  </sec>
</sec>
<sec sec-type="level-A">
  <title>ABBREVIATIONS</title>
  <p>CYB5R1: Cytochrome B5 reductase 1; SPINK5: Serine peptidase inhibitor Kazal type 5; FLG: Filaggrin; TNF: Tumor necrosis factor; IL: Interleukin; SNP: Single Nucleotide Polymorphisms; ROS: Reactive Oxygen Species; NGS: Next-generation sequencing; GWAS: Genome-wide association studies; PCA: Principal component analysis; OR: Odds ratio; CI: Confidence Interval; SD: Standard deviation; IQR: Interquartile range</p>
</sec>
<sec sec-type="level-A">
  <title>ACKNOWLEDGEMENTS</title>
  <p>We would like to convey our heartfelt thanks to the physicians and clinical personnel of the University of Medicine and Pharmacy Hospital and the Vietnam National Hospital of Dermatology and Venereology for their outstanding assistance and collaboration during this study. </p>
</sec>
<sec sec-type="level-A">
  <title>AUTHOR CONTRIBUTIONS</title>
  <p>Conceptualisation: Duy-Khang Nguyen, Quynh-Giang Nguyen, Dong Kha To. Data analysis and methodology: Duy-Khang Nguyen, Quynh-Giang Nguyen, Chi-Bao Bui. Acquisition of clinical data: Tuan-Khoi Duong, Dang-Khoa Nguyen, Dong Kha To. Writing - original draft preparation: Duy-Khang Nguyen, Quynh-Giang Nguyen, Hoang-Dung Nguyen. Writing - review &amp; editing: Duy-Khang Nguyen, Chi-Bao Bui, Quynh-Giang Nguyen, Dong Kha To. Supervision: Chi-Bao Bui, Dong Kha To. All authors have read and agreed to the published version of the manuscript.</p>
</sec>
<sec sec-type="level-A">
  <title>COMPETING INTEREST</title>
  <p>The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.</p>
</sec>
<sec sec-type="level-A">
  <title>ETHICS APPROVAL</title>
  <p>The study protocol was approved by the Institutional Review Board of School of Medicine (approval number #MEDVNU-093) and adhered to the principles of the Declaration of Helsinki.</p>
</sec>
<sec sec-type="level-A">
  <title>FUNDING</title>
  <p>This study was primarily funded by the Vietnam National University Ho Chi Minh City (#C2024-44-24).</p>
</sec>
<sec sec-type="level-A">
  <title>DATA AVAILABILITY STATEMENT</title>
  <p> On reasonable request, the associated author will provide the data used in this article.</p>
</sec>
<sec sec-type="level-A">
  <title>CONSENT FOR PUBLICATION</title>
  <p>Not applicable.</p>
</sec>
</body>
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