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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1660719</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2025.1660719</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Higher prevalence of <italic>NUDT15</italic> rs116855232 compared to <italic>TPMT</italic> rs1142345 in a Chinese cohort and its implications for thiopurine therapy</article-title>
<alt-title alt-title-type="left-running-head">Zhao and Huang</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2025.1660719">10.3389/fphar.2025.1660719</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhao</surname>
<given-names>Chenyu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1727959/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Hui</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1509638/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
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<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Gastroenterology, Henan Provincial People&#x2019;s Hospital, People&#x2019;s Hospital of Zhengzhou University</institution>, <addr-line>Zhengzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Medical Genetics, Hunan Province Clinical Research Center for Genetic Birth Defects and Rare Diseases, The Second Xiangya Hospital, Central South University</institution>, <addr-line>Changsha</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/744936/overview">Simran D. S. Maggo</ext-link>, Shenandoah University, United States</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/295265/overview">Sarah McGarrity</ext-link>, CAG Center for Endotheliomics (ENDO), Denmark</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2418338/overview">Jenny Nguyen</ext-link>, Children&#x2019;s Hospital of Los Angeles, United States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Chenyu Zhao, <email>chenyuzhao9305@zzu.edu.cn</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>18</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1660719</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>20</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Zhao and Huang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Zhao and Huang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Thiopurine drugs are widely used as immunosuppressants and chemotherapeutic agents in clinical practice, but their adverse effects significantly limit their clinical application. <italic>TPMT</italic> c.719A&#x3e;G (rs1142345) and <italic>NUDT15</italic> c.415C&#x3e;T (rs116855232) are the most common genetic polymorphisms influencing thiopurine drug toxicity, with notable differences in allele frequencies across diverse populations. However, there remains a paucity of research on the <italic>NUDT15</italic> c.415C&#x3e;T polymorphism in the Chinese population.</p>
</sec>
<sec>
<title>Methods</title>
<p>This study enrolled 571 Chinese patients. DNA samples were isolated, and polymerase chain reaction (PCR) was performed to amplify the <italic>TPMT</italic> c.719A&#x3e;G and <italic>NUDT15</italic> c.415C&#x3e;T in each sample. PCR products were genotyped via Sanger sequencing to identify the allelic frequencies of these polymorphisms. Additionally, we compared the detection rate of <italic>NUDT15</italic> c.415C&#x3e;T and <italic>TPMT</italic> c.719A&#x3e;G for thiopurine drug toxicity in the cohort.</p>
</sec>
<sec>
<title>Results</title>
<p>The minor allele frequencies of <italic>NUDT15</italic> c.415C&#x3e;T and <italic>TPMT</italic> c.719A&#x3e;G were determined to be 12.52% and 2.36%, respectively. The detection rate of the <italic>NUDT15</italic> c.415C&#x3e;T polymorphism was significantly higher than that of <italic>TPMT</italic> c.719A&#x3e;G (23.47% vs. 4.55%, P &#x3c; 0.001).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>
<italic>NUDT15</italic> c.415C&#x3e;T yielded a higher carrier rate than <italic>TPMT</italic> c.719A&#x3e;G in this cohort. And broader panels could shift absolute yields. These findings highlight the critical role of <italic>NUDT15</italic> c.415C&#x3e;T genotyping in guiding precision therapy with thiopurine drugs.</p>
</sec>
</abstract>
<kwd-group>
<kwd>NUDT15</kwd>
<kwd>TPMT</kwd>
<kwd>thiopurine</kwd>
<kwd>gene polymorphism</kwd>
<kwd>Pharmacogenetics</kwd>
</kwd-group>
<counts>
<page-count count="7"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Pharmacogenetics and Pharmacogenomics</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Thiopurine drugs, including azathioprine, mercaptopurine, and thioguanine, are widely employed as immunosuppressants and chemotherapeutic agents. In immunosuppressive therapy, they are used to treat inflammatory bowel disease, myasthenia gravis, rheumatoid arthritis, and to prevent organ transplant rejection. As chemotherapeutics, they play a key role in managing acute leukemia and chronic myeloid leukemia. Despite their clinical utility, their use is constrained by severe, potentially life-threatening adverse drug reactions (ADRs), such as myelosuppression, alopecia, hepatotoxicity, and pancreatitis (<xref ref-type="bibr" rid="B14">Marinaki and Arenas-Hernandez, 2020</xref>). These toxicities are strongly linked to genetic polymorphisms in two key enzymes: thiopurine S-methyltransferase (TPMT) and nucleoside diphosphate-linked moiety X-type motif 15 (NUDT15) (<xref ref-type="bibr" rid="B20">Relling et al., 2019</xref>).</p>
<p>TPMT is primarily responsible for inactivating thiopurine drugs. Reduced or absent TPMT activity leads to elevated levels of thiopurine active metabolites, thereby increasing the risk of toxicity. Genetic polymorphisms in the <italic>TPMT</italic> gene significantly influence enzyme activity. In Western populations, the <italic>TPMT</italic> variants &#x2217;3A and &#x2217;3C account for 90% of cases with low enzyme activity and are associated with leukopenia (<xref ref-type="bibr" rid="B16">Meng et al., 2018</xref>). <italic>TPMT</italic>&#x2217;3A is composed of two single nucleotide polymorphisms (SNPs): rs1800460 (c.460G&#x3e;A) and rs1142345 (c.719A&#x3e;G). Unlike <italic>TPMT</italic>&#x2217;3A, which is defined by a combination of two SNPs, <italic>TPMT</italic>&#x2217;3C is composed solely of the single SNP variant rs1142345. In contrast to populations of European descent, loss-of-function <italic>TPMT</italic> alleles exhibit lower prevalence in East Asian populations. In Chinese cohorts, the c.719A&#x3e;G (rs1142345) allele frequency typically ranges from &#x223c;1 to 3%, with <italic>TPMT</italic>&#x2a;3C (c.719A&#x3e;G) as the predominant star allele (<xref ref-type="bibr" rid="B13">Mao et al., 2021</xref>; <xref ref-type="bibr" rid="B30">Zhou and Lauschke, 2022</xref>). By comparison, carrier prevalence of <italic>TPMT</italic> loss-of-function alleles in European populations is approximately 10% (<xref ref-type="bibr" rid="B26">Teml et al., 2009</xref>). Notably, the low prevalence of <italic>TPMT</italic> variants in East Asians suggests that alternative genetic factors contribute to the higher incidence of thiopurine-related ADRs in this population (<xref ref-type="bibr" rid="B11">Liang et al., 2016</xref>).</p>
<p>NUDT15 negatively regulates thiopurine activation, and loss-of-function variants lead to accumulation of cytotoxic metabolites (<xref ref-type="bibr" rid="B12">Man et al., 2019</xref>). The Clinical Pharmacogenetics Implementation Consortium (CPIC) included nine <italic>NUDT15</italic> single-nucleotide polymorphisms in its 2018 dosing guidelines for thiopurines (<xref ref-type="bibr" rid="B20">Relling et al., 2019</xref>). The most frequent variant is <italic>NUDT15&#x2217;3</italic> (rs116855232, c.415C&#x3e;T) (<xref ref-type="bibr" rid="B13">Mao et al., 2021</xref>). Additionally, minor allele frequency (MAF) of <italic>NUDT15&#x2217;2</italic> in East Asians is about 3%. It is important to note that <italic>NUDT15</italic>&#x2a;2 is defined by two specific SNPs: rs116855232 (c.415C&#x3e;T) and rs746071566 (c. 55_56insGAGTCG). This variant has been strongly associated with thiopurine toxicity (<xref ref-type="bibr" rid="B27">Yang et al., 2014</xref>; <xref ref-type="bibr" rid="B29">Zhang et al., 2018</xref>). It exhibits a higher prevalence in Asian populations compared to European or African populations (<xref ref-type="bibr" rid="B28">Yang et al., 2015</xref>; <xref ref-type="bibr" rid="B8">Khaeso et al., 2021</xref>). Unlike <italic>TPMT</italic>, <italic>NUDT15</italic> variants show a distinct ethnic distribution, underscoring their critical role in predicting ADRs in East Asians.</p>
<p>In addition to <italic>TPMT</italic> and <italic>NUDT15</italic>, other genes involved in the thiopurine drugs metabolic pathway have been explored for their association with treatment-related adverse effects. For example, genetic variants at the <italic>ITPA</italic> locus (e.g., rs1127354 and rs7270101) are associated with reduced enzymatic activity, which may elevate toxicity risk through the accumulation of the potentially harmful metabolite thioinosine triphosphate (<xref ref-type="bibr" rid="B17">Moradveisi et al., 2019</xref>; <xref ref-type="bibr" rid="B1">Ali et al., 2023</xref>). Given their status as the most prevalent genetic variants implicated in thiopurine metabolism, <italic>TPMT</italic> c.719A&#x3e;G (rs1142345) and <italic>NUDT15</italic> c.415C&#x3e;T (rs116855232) were selected for investigation in this study.</p>
<p>The frequencies of <italic>NUDT15</italic> and <italic>TPMT</italic> variants exhibit significant ethnic diversity. Notably, there is a paucity of research on the <italic>NUDT15</italic> c.415C&#x3e;T polymorphism among the Chinese population, particularly the Han ethnic group. The objectives of the study were twofold: (1) to determine the allelic frequencies of these two variants in a Chinese cohort (predominantly Han ethnicity); and (2) to evaluate their comparative utility in predicting thiopurine drug toxicity, with the aim of optimizing healthcare resource allocation in China, a developing nation with a large population.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and methods</title>
<sec id="s2-1">
<title>Study participants and data collection</title>
<p>This retrospective clinical study included 571 patients who underwent <italic>TPMT</italic> c.719A&#x3e;G and <italic>NUDT15</italic> c.415C&#x3e;T genotyping at the Second Xiangya Hospital. Data extracted from electronic medical records comprised patients&#x2019; age, gender, nationality, diagnosis, pharmacogenetic testing results, and the department of the ordering physicians. The study was approved by the Ethics Committee of the Second Xiangya Hospital, Central South University (approval number: 141225S046).</p>
</sec>
<sec id="s2-2">
<title>Pharmacogenetics testing</title>
<p>Genomic DNA was extracted from peripheral blood samples. We performed genotyping for <italic>TPMT</italic> c.719A&#x3e;G (rs1142345) and <italic>NUDT15</italic> c.415C&#x3e;T (rs116855232) using PCR-Sanger sequencing. Genotyping results were documented and returned in standardized report formats within the electronic medical record system. Notably, our assay did not include interrogation of <italic>TPMT</italic> c.460G&#x3e;A (rs1800460) or <italic>NUDT15</italic> c.55_56insGAGTCG (rs746071566). Consequently, this methodological limitation precludes definitive assignment of <italic>TPMT&#x2a;</italic>3A versus &#x2a;3C alleles (or detection of &#x2a;3B) and hinders discrimination between <italic>NUDT15&#x2a;</italic>2 and &#x2a;3 alleles. Therefore, all results are reported as variant-specific frequencies rather than star-allele frequencies, with interpretations explicitly contextualized within the scope of our single-locus assay. Additional clinically relevant alleles recommended by CPIC/Association for Molecular Pathology (AMP) were not interrogated and fall outside the current assay&#x2019;s design.</p>
</sec>
<sec id="s2-3">
<title>Allele frequencies and sensitivity analysis</title>
<p>Allele frequencies of <italic>TPMT</italic> c.719A&#x3e;G and <italic>NUDT15</italic> c.415C&#x3e;T were calculated as: Allele frequency &#x3d; [(Numbers of heterozygotes &#x2b; Numbers of homozygotes &#xd7; 2)/Total sample numbers &#xd7; 2] &#xd7; 100%.</p>
<p>In this study, each patient underwent both genotyping tests simultaneously. Carriage of either the <italic>TPMT</italic> c.719A&#x3e;G or <italic>NUDT15</italic> c.415C&#x3e;T was defined as a positive result, as individuals with intermediate or poor metabolizer phenotypes require adjustment of thiopurine drug dosages. We compared the sensitivity of these two variants for guiding thiopurine dosing decisions in the Chinese (East Asian population).</p>
</sec>
<sec id="s2-4">
<title>Statistical analysis</title>
<p>Data were analyzed with SPSS (version 20; SPSS and SAS, version 9.2; SAS Institute, IBM Corp., Armonk, NY). Statistical tests of significance were conducted by paired Chi-square test using McNemar&#x2019;s test. The criterion for statistical significance was p &#x3c; 0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Characteristics of study participants</title>
<p>This study included 343 females and 228 males, with a median age of 43 years (range: 5&#x2013;84 years). The vast majority were of Han Chinese ethnicity (99.12%, 566/571). Other ethnic groups included Tujia (0.35%, 2/571), Miao (0.35%, 2/571), and Dong (0.18%, 1/571). This distribution was largely consistent with the 2020 National Population Census of China, which reported Han Chinese as the majority (91.1%). Patients were primarily from the Departments of Neurology (52%, 297/571), Rheumatology (22.9%, 131/571), and Gastroenterology (22.6%, 129/571). Most diagnoses were non-malignant, including myasthenia gravis, autoimmune myositis, and Crohn&#x2019;s disease. Patient demographic and clinical characteristics are summarized in <xref ref-type="table" rid="T1">Table 1</xref> and <xref ref-type="sec" rid="s13">Supplementary Material</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Characteristics of the patients in our cohort (n &#x3d; 571).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th colspan="2" align="left">Characteristics</th>
</tr>
</thead>
<tbody valign="top">
<tr style="background-color:#CCCCCC">
<td colspan="2" align="left">Age, years</td>
</tr>
<tr>
<td align="left">&#x2003;Median</td>
<td align="left">43</td>
</tr>
<tr>
<td align="left">&#x2003;Range</td>
<td align="left">5&#x2013;84</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="2" align="left">Gender</td>
</tr>
<tr>
<td align="left">&#x2003;Female</td>
<td align="left">343 (60.1%)</td>
</tr>
<tr>
<td align="left">&#x2003;Male</td>
<td align="left">228 (39.9%)</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="2" align="left">Nationality</td>
</tr>
<tr>
<td align="left">&#x2003;Ethnic Han</td>
<td align="left">566 (99.1%)</td>
</tr>
<tr>
<td align="left">&#x2003;Other ethnic groups</td>
<td align="left">5 (0.9%)</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="2" align="left">Clinical departments</td>
</tr>
<tr>
<td align="left">&#x2003;Department of neurology</td>
<td align="left">297 (52%)</td>
</tr>
<tr>
<td align="left">&#x2003;Department of rheumatology</td>
<td align="left">131 (22.9%)</td>
</tr>
<tr>
<td align="left">&#x2003;Department of gastroenterology</td>
<td align="left">129 (22.6%)</td>
</tr>
<tr>
<td align="left">&#x2003;Others</td>
<td align="left">14 (2.5%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Others: Departments of dermatology, infectious diseases, geriatrics, respiratory and ophthalmology.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>Frequency of <italic>TPMT</italic> c.719A&#x3e;G and <italic>NUDT15</italic> c.415C&#x3e;T variants</title>
<p>Among all 571 patients, 9 were homozygous for <italic>NUDT15</italic> c.415C&#x3e;T (TT), 125 were heterozygous (TC), and 437 were wild-type (CC). Conversely, only 1 patient was homozygous for <italic>TPMT</italic> c.719A&#x3e;G (GG), 25 were heterozygous (AG), and 545 were wild-type (AA). The MAFs were 12.52% for <italic>NUDT15</italic> c.415C&#x3e;T and 2.36% for <italic>TPMT</italic> c.719A&#x3e;G, respectively (<xref ref-type="table" rid="T2">Table 2</xref> and <xref ref-type="sec" rid="s13">Supplementary Material</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Distribution of <italic>TPMT</italic> c.719A&#x3e;G and <italic>NUDT15</italic> c.415C&#x3e;T.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Genotype</th>
<th colspan="3" align="left">Number of patients</th>
<th rowspan="2" align="left">Frequency (%)</th>
</tr>
<tr>
<th align="left">WT</th>
<th align="left">HET</th>
<th align="left">HOM</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">
<italic>TPMT</italic> c.719A&#x3e;G</td>
<td align="left">545</td>
<td align="left">25</td>
<td align="left">1</td>
<td align="left">2.36</td>
</tr>
<tr>
<td align="left">
<italic>NUDT15</italic> c.415C&#x3e;T</td>
<td align="left">437</td>
<td align="left">125</td>
<td align="left">9</td>
<td align="left">12.52</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>WT:wild type (for the allele of interest); HET: heterozygote; HOM: homozygous for the variant allele.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-3">
<title>Comparison for detection rate between two variants</title>
<p>The positive detection rates for <italic>TPMT</italic> c.719A&#x3e;G and <italic>NUDT15</italic> c.415C&#x3e;T were 4.55% (26/571) and 23.47% (134/571), respectively. A paired Chi-square test revealed a statistically significant difference positive rates between <italic>NUDT15</italic> c.415C&#x3e;T and <italic>TPMT</italic> c.719A&#x3e;G (<xref ref-type="table" rid="T3">Table 3</xref>, P &#x3c; 0.001). These results indicate that <italic>NUDT15</italic> c.415C&#x3e;T genotyping is more sensitive than <italic>TPMT</italic> c.719A&#x3e;G testing in the Chinese population. Additionally, seven patients carried heterozygous mutations in both <italic>NUDT15</italic> c.415C&#x3e;T (TC) and <italic>TPMT</italic> c.719A&#x3e;G (AG).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Frequency distribution/contingency table for preparation of the chi-squared test (resulting statistics are presented in the text).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th colspan="1" align="left"/>
<th colspan="3" align="left">
<italic>TPMT</italic> c.719A&#x3e;G</th>
<th rowspan="2" align="left">Total</th>
</tr>
<tr>
<th align="left"/>
<th align="left"/>
<th align="left">&#x2b;</th>
<th align="left">-</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="2" align="left">
<italic>NUDT15</italic> c.415C&#x3e;T</td>
<td align="left">
<bold>&#x2b;</bold>
</td>
<td align="left">7</td>
<td align="left">127</td>
<td align="left">134</td>
</tr>
<tr>
<td align="left">
<bold>-</bold>
</td>
<td align="left">19</td>
<td align="left">418</td>
<td align="left">437</td>
</tr>
<tr>
<td align="left">Total</td>
<td align="left"/>
<td align="left">26</td>
<td align="left">545</td>
<td align="left">571</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>A total of 153 patients (26.8%, 153/571) were predicted to have intermediate or poor TPMT/NUDT15 activity. While <italic>NUDT15</italic> c.415C&#x3e;T testing adds 22.25% to the diagnostic yield of <italic>TPMT</italic> c.719A&#x3e;G alone, <italic>TPMT</italic> c.719A&#x3e;G complements <italic>NUDT15</italic> c.415C&#x3e;T by identifying an additional 3.33% of at-risk patients negative for <italic>NUDT15</italic> c.415C&#x3e;T variants. These patients were recommended to adjust thiopurine dosages or switch to alternative therapies. In this cohort, no serious adverse events were observed except in two cases. Both patients had Crohn&#x2019;s disease. In our hospital, clinicians recommend conducting <italic>TPMT</italic> c.719A&#x3e;G and <italic>NUDT15</italic> c.415C&#x3e;T genetic testing prior to initiating thiopurine therapy. And according to CPIC guidelines, intermediate metabolizers should initiate thiopurine therapy with reduced starting doses (30%&#x2013;80% of normal dose). Poor metabolizers should consider alternative non-thiopurine immunosuppressant therapy in non-malignant conditions. Unfortunately, the two patients initially refused to undergo genetic testing and received conventional thiopurine dosages. Subsequently, they developed agranulocytosis. Pharmacogenetic testing performed afterward revealed they were homozygous for <italic>NUDT15</italic> c.415C&#x3e;T (<xref ref-type="table" rid="T4">Table 4</xref>).</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Characteristics of the 2 patients who developed agranulocytosis.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Clinical Information of Patients</th>
<th align="left">Patient 1</th>
<th align="left">Patient 2</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Age (years)</td>
<td align="left">31</td>
<td align="left">43</td>
</tr>
<tr>
<td align="left">Gender</td>
<td align="left">Male</td>
<td align="left">Male</td>
</tr>
<tr>
<td align="left">Nationality</td>
<td align="left">Han</td>
<td align="left">Han</td>
</tr>
<tr>
<td align="left">Diagnosis</td>
<td align="left">Chron&#x2019;s disease</td>
<td align="left">Chron&#x2019;s disease</td>
</tr>
<tr>
<td align="left">
<italic>NUDT15</italic> c.415C&#x3e;T genotype</td>
<td align="left">HOM</td>
<td align="left">HOM</td>
</tr>
<tr>
<td align="left">
<italic>TPMT</italic> c.719A&#x3e;G genotype</td>
<td align="left">WT</td>
<td align="left">WT</td>
</tr>
<tr>
<td align="left">WBC</td>
<td align="left">0.4&#x2a;10<sup>9</sup>/L</td>
<td align="left">0.98&#x2a;10<sup>9</sup>/L</td>
</tr>
<tr>
<td align="left">RBC</td>
<td align="left">3.45&#x2a;10<sup>12</sup>/L</td>
<td align="left">4.47&#x2a;10<sup>12</sup>/L</td>
</tr>
<tr>
<td align="left">PLT</td>
<td align="left">88&#x2a;10<sup>9</sup>/L</td>
<td align="left">69&#x2a;10<sup>9</sup>/L</td>
</tr>
<tr>
<td align="left">NEUT</td>
<td align="left">0.05&#x2a;10<sup>9</sup>/L</td>
<td align="left">0.1&#x2a;10<sup>9</sup>/L</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>WBC: white blood cells, RBC: red blood cell, PLT: platelets, NEUT: neutrophil coun.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Previous studies have investigated the association between thiopurine drug-induced ADRs and genes including <italic>TPMT, ITPA, NUDT15, GST, MRP4, HGPRT, IMPDH,</italic> and <italic>XO</italic>. Among these, <italic>TPMT, NUDT15</italic>, and <italic>ITPA</italic> are the most extensively studied (<xref ref-type="bibr" rid="B4">Chen et al., 2021</xref>; <xref ref-type="bibr" rid="B23">Suzuki et al., 2023</xref>; <xref ref-type="bibr" rid="B21">Salazar et al., 2024</xref>). Notably, the U.S. Food and Drug Administration (FDA) recommends determining patient <italic>TPMT</italic> genotypes prior to drug administration, while the CPIC guidelines additionally advise assessing <italic>NUDT15</italic> genotypes before initiating thiopurine therapy (<xref ref-type="bibr" rid="B20">Relling et al., 2019</xref>). Therefore, this study was intentionally designed to focus on <italic>NUDT15</italic> and <italic>TPMT</italic>, given their well-established role as primary contributors to thiopurine toxicity in the study cohort, although the <italic>ITPA</italic> gene has been implicated in thiopurine-induced ADRs.</p>
<p>Azathioprine (AZA) acts as a prodrug of 6-mercaptopurine (6-MP) and undergoes nonenzymatic conversion to 6-MP within erythrocytes. Subsequently, 6-MP is metabolized into various derivatives by three key enzymes: xanthine oxidase (XO), TPMT, and hypoxanthine guanine phosphoribosyl transferase (HGPRT). The thiopurine metabolism pathway is depicted in <xref ref-type="fig" rid="F1">Figure 1</xref> (<xref ref-type="bibr" rid="B15">Matsuoka, 2020</xref>; <xref ref-type="bibr" rid="B25">Tanaka and Saito, 2021</xref>; <xref ref-type="bibr" rid="B23">Suzuki et al., 2023</xref>). Reduced TPMT activity leads to accumulation of 6-thioguanine nucleotides (6-TGN). Decreased NUDT15 activity increases thiopurine triphosphate levels. Inosine triphosphate pyrophosphatase (ITPA) converts 6-thioinosine triphosphate (6-TITP) to 6-thioinosine monophosphate (6-TIMP), and diminished ITPA activity is hypothesized to cause 6-TITP accumulation. All of these conditions could result in an increased risk of adverse drug reactions.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Thiopurine metabolism pathway XO: Xanthine oxidase; TPMT: Thiopurine S-methyltransferase; HGPRT: Hypoxanthine guanine phosphoribosyl transferase; ITPA: Inosine triphosphate pyrophosphatase; IMPDH: Inosine monophosphate dehydrogenase; GMPS: Guanosine monophosphate synthetase; NUDT15: Nucleoside diphosphate-linked moiety X-type motif 15; AZA: Azathioprine; 6-MP:6-Mercaptopurine; 6-TUA: 6-Thiouric acid; 6-MeMP: 6-Methylmercaptopurine; 6-TIMP: 6-Thioinosine monophosphate; 6-TITP: 6-Thioinosine triphosphate; 6-MeTIMP: 6-Methylthionosine monophosphate; 6-TXMP: 6-Thixanthosine 5&#x2032;-monophosphate; 6-TGMP: 6-Thioguanosine monophosphate; 6-TGDP: 6-Thioguanosine diphosphate; 6-TGTP: 6-Thioguanosine triphosphate; 6-MeTGMP: 6-Methylthioguanine monophosphate; 6-TdGMP: 6-thio-deoxyguanosine monophosphate; 6-TGDP: 6-thio-guanosine diphosphate; 6-TdGTP: 6-thio-deoxyguanosine triphosphate. This figure is adapted from previously published works (<xref ref-type="bibr" rid="B25">Tanaka and Saito, 2021</xref>; <xref ref-type="bibr" rid="B23">Suzuki et al., 2023</xref>).</p>
</caption>
<graphic xlink:href="fphar-16-1660719-g001.tif">
<alt-text content-type="machine-generated">Flowchart depicting the metabolic pathway of azathioprine (AZA) and 6-mercaptopurine (6-MP). It shows transformations through various metabolites like 6-TUA, 6-TITP, 6-TIMP, and others, involving enzymes such as XO, TPMT, HGPRT, and IMPDH. The chart highlights processes leading to RNA and DNA incorporation, resulting in immunosuppression and cytotoxicity. The role of enzymes like NUDT15 in processing 6-TGMP, 6-TGDP, and 6-TGTP is also shown.</alt-text>
</graphic>
</fig>
<p>To date, over 40 <italic>TPMT</italic> alleles (<italic>TPMT</italic>&#x2217;2&#x2013;&#x2217;41) have been identified in individuals with TPMT deficiency (<xref ref-type="bibr" rid="B7">Iu et al., 2017</xref>). The frequency of <italic>TPMT</italic> genetic polymorphisms varies significantly across ethnic groups, with an approximate prevalence of 3% in Asians&#x2014;substantially lower than that in European populations (<xref ref-type="bibr" rid="B6">Fangbin et al., 2012</xref>; <xref ref-type="bibr" rid="B15">Matsuoka, 2020</xref>). The most common polymorphism is <italic>TPMT</italic> c.719A&#x3e;G, which exhibited an overall prevalence of 2.36% in our Chinese cohort (predominantly Han ethnicity). The TPMT enzyme is central to thiopurine metabolism, and the <italic>TPMT</italic>&#x2217;3C polymorphism represents a risk factor for thiopurine intolerance (<xref ref-type="bibr" rid="B3">Cardoso de Carvalho et al., 2020</xref>). This variant induces protein instability and impairs TPMT enzymatic activity (<xref ref-type="bibr" rid="B5">Evans, 2004</xref>), leading to accumulation of thiopurine nucleoside active metabolites and subsequent cytotoxicity. Conversely, the NUDT15 enzyme dephosphorylates thiopurine triphosphate&#x2014;the active metabolite incorporated into DNA&#x2014;into its monophosphate form (<xref ref-type="bibr" rid="B25">Tanaka and Saito, 2021</xref>). <italic>NUDT15</italic>&#x2217;3 is recognized as a loss-of-function variant (<xref ref-type="bibr" rid="B18">Moriyama et al., 2016</xref>), causing elevated thiopurine triphosphate levels and exacerbating thiopurine-induced cytotoxic effects, including myelosuppression and alopecia. In our cohort, <italic>NUDT15</italic> c.415C&#x3e;T had an overall prevalence of 12.52% in the Chinese population (predominantly Han ethnicity).</p>
<p>During thiopurine treatment, the incidence of leukopenia ranges from 15% to 40% in Asian populations (<xref ref-type="bibr" rid="B24">Takatsu et al., 2009</xref>; <xref ref-type="bibr" rid="B9">Kim et al., 2010</xref>; <xref ref-type="bibr" rid="B19">Qiu et al., 2015</xref>), significantly higher than the approximately 3% reported in Western populations (<xref ref-type="bibr" rid="B10">Lewis et al., 2009</xref>; <xref ref-type="bibr" rid="B22">Sood et al., 2015</xref>). Severe leukopenia affects approximately 1% of Asian patients (<xref ref-type="bibr" rid="B2">Asada et al., 2016</xref>), underscoring the critical need for pharmacogenetic testing in these populations. As a developing East Asian nation with a population exceeding 1.4 billion, China faces regional disparities in economic development and limited public healthcare funding. From a health economics perspective, there is a pressing need to deliver cost-effective personalized medication guidance to patients within constrained financial resources.</p>
<p>In our cohort, the prevalence of <italic>TPMT</italic> c.719A&#x3e;G was significantly lower than that of <italic>NUDT15</italic> c.415C&#x3e;T (2.36% vs. 12.52%). The positive detection rates for <italic>TPMT</italic> c.719A&#x3e;G, <italic>NUDT15</italic> c.415C&#x3e;T, and both indexes testing were 4.55%, 23.47%, and 26.8%, respectively. Compared with testing <italic>NUDT15</italic> c.415C&#x3e;T alone, simultaneous testing of both polymorphisms only increased the positive rate by 3.33%. Additionally, only one patient was homozygous for <italic>TPMT</italic> c.719A&#x3e;G. These findings suggest that single-locus testing for <italic>NUDT15</italic> c.415C&#x3e;T may be a clinically acceptable strategy in China, although the CPIC guideline for thiopurine dosing (<xref ref-type="bibr" rid="B20">Relling et al., 2019</xref>) still recommends comprehensive detection of all relevant polymorphisms.</p>
<p>The present study is subject to several limitations. The current study focused on <italic>NUDT15</italic> c.415C&#x3e;T and <italic>TPMT</italic> c.719A&#x3e;G variants, but did not include the complete allele panel recommended by CPIC/AMP guidelines. This may lead to underreporting clinically relevant alleles and does not fully align with standardized testing protocols. It prioritized <italic>TPMT</italic> c.719A&#x3e;G and <italic>NUDT15</italic> c.415C&#x3e;T due to their established clinical relevance in East Asian populations, where they represent the most frequently observed variants associated with thiopurine-induced toxicity (<xref ref-type="bibr" rid="B20">Relling et al., 2019</xref>; <xref ref-type="bibr" rid="B13">Mao et al., 2021</xref>). This may have resulted in incomplete characterization of genetic contributions to ADRs of thiopurine drugs. Due to the two-site design of our genotyping assay, inference of star alleles, which relies on haplotypic combinations of multiple variants, was not feasible in this study. Star-allele inference for <italic>TPMT</italic> and <italic>NUDT15</italic> necessitates multi-locus haplotype analysis (e.g., <italic>TPMT&#x2a;</italic>3A &#x3d; c.460G&#x3e;A&#x2b; c.719A&#x3e;G; <italic>NUDT15&#x2a;</italic>2 &#x3d; c.415C&#x3e;T &#x2b; c.55_56insGAGTCG). Owing to our assay&#x2019;s exclusive interrogation of c.719A&#x3e;G and c.415C&#x3e;T, we may have overestimated the prevalence of <italic>TPMT&#x2a;</italic>3C (as some carriers could harbor the &#x2a;3A haplotype) and <italic>NUDT15&#x2a;</italic>3 (as some carriers may actually carry the &#x2a;2 allele). Future investigations should incorporate all AMP/CPIC Tier-1 variants to enable accurate star-allele assignment and robust haplotype-based genotyping. Besides, the lack of metabolite data represents a limitation of the current study. Future investigations incorporating simultaneous measurement of thiopurine metabolites and genetic variants will help elucidate how allele status affects drug metabolism and, ultimately, clinical responses.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>In summary, this study revealed that <italic>NUDT15</italic> c.415C&#x3e;T yielded a higher carrier rate than <italic>TPMT</italic> c.719A&#x3e;G in this cohort (predominantly Chinese Han ethnicity). Compared with <italic>TPMT</italic> c.719A&#x3e;G, <italic>NUDT15</italic> c.415C&#x3e;T demonstrated greater suitability for predicting thiopurine drug toxicity in Chinese patients. It is important to note that this study only interrogated two single variants. Broader genetic panels may alter the absolute carrier yields. These findings highlight the critical role of <italic>NUDT15</italic> c.415C&#x3e;T genotyping in optimizing precision therapy for thiopurine-based treatments.</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/<xref ref-type="sec" rid="s13">supplementary materials</xref>.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Ethics Committee of the Second Xiangya Hospital, Central South University. The studies were conducted in accordance with the local legislation and institutional requirements. The ethics committee/institutional review board waived the requirement of written informed consent for participation from the participants or the participants&#x2019;; legal guardians/next of kin because this study is a retrospective data research, which only uses de-identified clinical data (all personally identifiable information, such as names, hospital numbers, contact information, etc., has been permanently removed) and does not involve direct contact with or intervention on the subjects.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>CZ: Investigation, Software, Funding acquisition, Writing &#x2013; original draft, Conceptualization, Project administration, Visualization, Data curation, Methodology, Formal Analysis. HH: Supervision, Investigation, Writing &#x2013; review and editing, Visualization, Resources, Validation.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This research was funded by the Department of Science and Technology of Henan Province, China (Grant No. 252300421609) and the Natural Science Foundation of Hunan Province, China (Grant No. 2025JJ50515).</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of interest</title>
<p>The authors declare that the research 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) declare that no Generative AI was 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>
<sec sec-type="supplementary-material" id="s13">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fphar.2025.1660719/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2025.1660719/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.xlsx" id="SM1" mimetype="application/xlsx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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