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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2025.1634101</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Case Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Pharmacogenomic analysis of alarelin acetate-induced hepatotoxicity: a case report and literature review</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Yuan</surname>
<given-names>Fang</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="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2538015/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Ping</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Ming</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Yuan</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Xu</surname>
<given-names>Bin</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Li</surname>
<given-names>Xin</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"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1629409/overview"/>
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<aff id="aff1"><sup>1</sup><institution>Department of Pharmacy, The Third Hospital of Changsha (Changsha Hospital Affiliated to Hunan University)</institution>, <addr-line>Changsha, Hunan</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Hunan Provincial Key Laboratory of Anti-Resistance Microbial Drugs</institution>, <addr-line>Changsha, Hunan</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Beijing Key Laboratory of Traditional Chinese Medicine Basic Research on Prevention and Treatment for Major Diseases, Experimental Research Center, China Academy of Chinese Medical Sciences</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1731793/overview">Ankit P. Laddha</ext-link>, University of Connecticut, United States</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2603173/overview">Parbeen Singh</ext-link>, University of Connecticut, United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3127580/overview">Esienanwan Efiong</ext-link>, Federal University Lafia Faculty of Sciences, Nigeria</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Xin Li, <email>Xin-li@cssdsyy.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>29</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1634101</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Yuan, Zhang, Liu, Li, Xu and Li.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Yuan, Zhang, Liu, Li, Xu and Li</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 id="sec1">
<title>Background</title>
<p>Alarelin acetate, a synthetic gonadotropin-releasing hormone (GnRH) analogue, is widely used to manage endometriosis and hormone-sensitive malignancies. Although its safety profile is generally favorable, we report the first documented case of severe hepatotoxicity associated with alarelin acetate administration.</p>
</sec>
<sec id="sec2">
<title>Case summary</title>
<p>A 37-year-old female participant in a phase I clinical trial developed acute hepatocellular injury following subcutaneous administration of alarelin acetate (150&#x202F;&#x03BC;g/day). The Roussel Uclaf Causality Assessment Method (RUCAM) yielded a score of 6, indicating a &#x201C;highly probable&#x201D; causal relationship between the drug and liver injury. Hepatic enzyme levels normalized within 18&#x202F;days after drug discontinuation and initiation of hepatoprotective therapy (glycyrrhizin and polyene phosphatidylcholine). Pharmacogenomic profiling identified specific genetic variations that may be associated with alarelin acetate-related hepatotoxicity, including a homozygous <italic>NUDT15</italic> variant (&#x002A;3/&#x002A;3 diplotype) and human leukocyte antigen (<italic>HLA</italic>) risk alleles (<italic>HLA-DRB1&#x002A;15:01</italic>, <italic>HLA-DQB1&#x002A;06:01</italic>).</p>
</sec>
<sec id="sec3">
<title>Conclusion</title>
<p>This novel case highlights the risk of alarelin acetate-related hepatotoxicity. Pharmacogenomic profiling indicated that its hepatotoxicity may be related to gene polymorphisms; however, further research or larger-scale studies are needed to validate these associations.</p>
</sec>
</abstract>
<kwd-group>
<kwd>alarelin acetate</kwd>
<kwd>drug-induced liver injury</kwd>
<kwd>pharmacogenomics</kwd>
<kwd>human leukocyte antigen</kwd>
<kwd>single nucleotide polymorphism</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="38"/>
<page-count count="9"/>
<word-count count="4940"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Precision Medicine</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec4">
<title>Introduction</title>
<p>Alarelin acetate (AA), a synthetic nonapeptide gonadotropin-releasing hormone (GnRH) analogue, induces reversible hypogonadism through pituitary desensitization, making it effective for endometriosis and hormone-dependent cancers (<xref ref-type="bibr" rid="ref1">1</xref>). While its labeled adverse effects (e.g., vasomotor symptoms and genitourinary atrophy) reflect hypoestrogenic states, hepatotoxicity has not been documented in the current literature.</p>
<p>Drug-induced liver injury (DILI) represents a growing public health concern, with an estimated annual incidence of 23.8/100,000 cases in China, exceeding global rates (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref3">3</xref>). DILI manifests clinically as acute, subacute, or chronic liver injury, typically characterized by elevated levels of liver function markers, including serum alanine aminotransferase (ALT), aspartate aminotransferase (AST), lactate dehydrogenase (LDH), alkaline phosphatase (ALP), &#x03B3;-glutamyltransferase (GGT), and total bilirubin (TBil). The diagnostic criteria for DILI include the following: (1) ALT&#x202F;&#x2265;5&#x202F;&#x00D7;&#x202F;ULN, (2) ALP&#x202F;&#x2265;&#x202F;2&#x202F;&#x00D7;&#x202F;ULN (with concurrent GGT elevation), or (3) ALT&#x202F;&#x2265;3&#x202F;&#x00D7;&#x202F;ULN and TBil&#x202F;&#x2265;2&#x202F;&#x00D7;&#x202F;ULN (<xref ref-type="bibr" rid="ref4">4</xref>). The pathogenesis of DILI is complex, and the known risk factors can be grouped into two categories: drug-related and host-related (<xref ref-type="bibr" rid="ref5">5</xref>). Emerging evidence implicates genetic polymorphisms in drug metabolism enzymes and human leukocyte antigen (<italic>HLA</italic>) alleles as key determinants of DILI susceptibility.</p>
<p>Pharmacogenomics (PGx) is an interdisciplinary field integrating genetics, genomics, and pharmacogenetics (<xref ref-type="bibr" rid="ref6">6</xref>). It focuses on the relationship between human genomic information and drug response and uses genomic information to explain the reasons for the differences in the response of different individuals to the same drug (<xref ref-type="bibr" rid="ref7">7</xref>). Genes associated with drug response include drug-metabolizing enzymes, drug transporters, and specific <italic>HLA</italic> alleles (<xref ref-type="bibr" rid="ref8">8</xref>). Drugs are typically metabolized in the liver through phase I and/or phase II reactions and are catalyzed by drug-metabolizing enzymes in order to form water-soluble metabolites before excretion.</p>
<p>DILI initiation frequently involves drug metabolism pathways, particularly those mediated by cytochrome P450 enzymes (CYP450) and UDP-glucuronosyltransferases (UGTs) (<xref ref-type="bibr" rid="ref9">9</xref>). Polymorphisms in genes encoding drug-metabolizing enzymes, such as UGTs, glutathione S-transferases (GSTs), and N-acetyltransferases (NATs), are associated with the risk of DILI (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref11">11</xref>). The <italic>HLA</italic> complex represents the most polymorphic system in humans, comprising highly conserved major histocompatibility complex (MHC) molecules that are critical for immune function (<xref ref-type="bibr" rid="ref12">12</xref>). Except for monozygotic twins, <italic>HLA</italic> genotypes are unique to each individual. The <italic>HLA</italic> genes are located on the short arm of chromosome 6 and are classified into class I, II, and III regions based on their gene structure and function (<xref ref-type="bibr" rid="ref13">13</xref>). <italic>HLA</italic> class I and II molecules primarily present antigens to T cells, while class III genes encode immune-related proteins, such as complement components, cytokines, and heat shock proteins. Experts in drug metabolism and toxicology suggest that <italic>HLA</italic> molecules present drug-derived antigens and are involved in the pathogenesis of DILI (<xref ref-type="bibr" rid="ref14">14</xref>).</p>
<p>Herein, we report a case of DILI following treatment with alarelin acetate in a previously healthy individual. To the best of our knowledge, this is the first documented case of alarelin acetate-induced DILI. Furthermore, we sought to identify novel rare or low-frequency (minor allele frequency (MAF)&#x202F;&#x003C;&#x202F;5%) single-nucleotide polymorphisms (SNPs) that may potentially contributing to susceptibility to DILI associated with AA.</p>
</sec>
<sec id="sec5">
<title>Participants and methods</title>
<sec id="sec6">
<title>Study design</title>
<p>The study protocol was approved by the Changsha Third Hospital Ethics Committee (NO. LZ-BARL-PK-01) and was registered on <ext-link xlink:href="https://ClinicalTrials.gov" ext-link-type="uri">ClinicalTrials.gov</ext-link> (NCT2023LP02263). All participants self-identified as Han Chinese and provided written informed consent.</p>
</sec>
<sec id="sec7">
<title>DILI causality assessment for alarelin acetate</title>
<p>The Roussel Uclaf Causality Assessment Method (RUCAM) was used to determine the causal relationship between liver injury and alarelin acetate (<xref ref-type="bibr" rid="ref15">15</xref>).</p>
</sec>
<sec id="sec8">
<title>Pharmacogenomic analysis</title>
<p>Genomic DNA was extracted from peripheral blood using the EasyPure Blood Genomic DNA Kit (TransGen Biotech) and quantified using agarose gel electrophoresis.</p>
<p>Library preparation involved enzymatic fragmentation, end repair, A-tailing, adapter ligation, and PCR amplification. The resulting libraries were then hybridized with custom RNA probes designed to capture genomic regions relevant to PGx studies. Following hybridization, target fragments were enriched using streptavidin-coated magnetic beads. After the quality control assessment, high-throughput sequencing was performed. PGx-relevant variants were identified using GATK (version 3.8) analysis.</p>
<p>The probe panel captured 4,453 PGx-related loci, covering a span of 24.44&#x202F;kb. This allows for a comprehensive genomic characterization. Sequencing parameters were optimized to ensure that critical loci achieved sufficient coverage, with read depths consistently ranging from 10&#x00D7; to 20&#x00D7;, thereby enhancing data reliability and accuracy.</p>
</sec>
<sec id="sec9">
<title><italic>HLA</italic> high-resolution genotyping</title>
<p>Genomic DNA extraction and quantification were performed as described above.</p>
<p>Library preparation involved identical enzymatic fragmentation, end repair, A-tailing, adapter ligation, and PCR amplification. The libraries were hybridized with DNA probes that specifically targeted all exons and critical intronic regions of 22 <italic>HLA</italic> genes (<xref ref-type="table" rid="tab1">Table 1</xref>), covering approximately 300&#x202F;kb of genomic sequence. Streptavidin-coated magnetic beads were used for target enrichment. The post-enrichment libraries underwent quality control before high-throughput sequencing. <italic>HLA</italic> genotyping was determined through specialized bioinformatics analysis of the sequencing data.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>22 <italic>HLA</italic> gene.</p>
</caption>
<table frame="hsides" rules="groups">
<tbody>
<tr>
<td align="left" valign="top">Type</td>
<td align="left" valign="top">A, B, C, DRB1, DQA1, DQB1, DPA1, DPB1, DMA, DMB, DOA, DOB, DRA, DRB3, DRB4, DRB5, E, F, G, TAP2, MICA, MICB</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Information on the reagents used in the pharmacogenomic analysis and <italic>HLA</italic> high-resolution genotyping experiments is provided in <xref ref-type="supplementary-material" rid="SM5">Supplementary Table 1</xref>.</p>
</sec>
</sec>
<sec id="sec10">
<title>Case report</title>
<p>A 37-year-old woman participated in a phase I clinical trial titled &#x201C;A single-center, non-randomized, open-label, positive drug-controlled study evaluating the safety, tolerability, pharmacokinetics and pharmacodynamics of a single subcutaneous injection of alanyl acetate in healthy Chinese adult female subjects&#x201D; at Changsha Third Hospital on 26 April 2024. The participant met the inclusion criteria, had no significant past medical history or drug allergies, no history of substance abuse, and had not used any concomitant medications in the 4&#x202F;weeks prior to enrollment. No specific negative behaviors (smoking, alcohol use, or recreational drug use) were reported. Laboratory results were within the normal range, and the liver function test (conducted on 27 April 2024) showed the following: ALT 17.2&#x202F;U/L, AST 21.4&#x202F;U/L, LDH 153&#x202F;U/L, and TBil 14.5&#x202F;&#x03BC;mol/L.</p>
<p>The participant was randomly assigned to the reference group and received alarelin acetate (BBCA Pharmaceutical Co., Ltd., China). Subcutaneous administration (150&#x202F;&#x03BC;g/day) began on 30 April 2024 and continued for 14 consecutive days. On 1 May 2024, the laboratory test revealed elevated enzyme levels: ALT 432.7&#x202F;U/L, AST 584.9&#x202F;U/L, and LDH 1,054.6&#x202F;U/L; however, the participant remained asymptomatic. A repeat test on 2 May 2024 showed further progression, with ALT 1,117.4&#x202F;U/L, AST 532.0&#x202F;U/L, and LDH 303.9&#x202F;U/L. The investigator concluded that the participant developed significant transaminitis (ALT: 17.2&#x202F;&#x2192;&#x202F;432.7&#x202F;&#x2192;&#x202F;1,117.4&#x202F;U/L and AST: 21.4&#x202F;&#x2192;&#x202F;584.9&#x202F;&#x2192;&#x202F;532.0&#x202F;U/L), fulfilling Hy&#x2019;s Law criteria for severe DILI (ALT&#x202F;&#x2265;&#x202F;5&#x202F;&#x00D7;&#x202F;ULN). Biochemical resolution followed apparent first-order kinetics (estimated ALT t1/2&#x202F;=&#x202F;3.2&#x202F;days) after drug discontinuation. Due to safety concerns, the principal investigator withdrew the participant from the trial.</p>
<p>An immediate hepatology consultation confirmed a diagnosis of DILI. Treatment with compound glycyrrhizin tablets and polyene phosphatidylcholine capsules was initiated. Follow-up liver function tests indicated a progressive improvement in the participant&#x2019;s condition:<list list-type="bullet">
<list-item>
<p>3 May 2024: ALT 942.9&#x202F;U/L and AST 227.5&#x202F;U/L (significant decrease).</p>
</list-item>
<list-item>
<p>7 May 2024: ALT 256.8&#x202F;U/L and AST 63.5&#x202F;U/L (further decrease).</p>
</list-item>
<list-item>
<p>14 May 2024: ALT 46.1&#x202F;U/L (near normalization) and AST 20.4&#x202F;U/L (normal) (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
</list-item>
</list></p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Laboratory parameters of the subject during follow up.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Date</th>
<th align="center" valign="top">ALT (U/L)</th>
<th align="center" valign="top">AST (U/L)</th>
<th align="center" valign="top">LDH (U/L)</th>
<th align="center" valign="top">ALP (U/L)</th>
<th align="center" valign="top">GGT (U/L)</th>
<th align="center" valign="top">TBil (&#x03BC;mol/L)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">04.27</td>
<td align="center" valign="top">17.2</td>
<td align="center" valign="top">21.4</td>
<td align="center" valign="top">153</td>
<td align="center" valign="top">50</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">14.5</td>
</tr>
<tr>
<td align="left" valign="top">05.01</td>
<td align="center" valign="top">432.7</td>
<td align="center" valign="top">584.9</td>
<td align="center" valign="top">1,054.6</td>
<td align="center" valign="top">74.4</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">8.7</td>
</tr>
<tr>
<td align="left" valign="top">05.02</td>
<td align="center" valign="top">1,117.4</td>
<td align="center" valign="top">532</td>
<td align="center" valign="top">303.9</td>
<td align="center" valign="top">74</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">8.4</td>
</tr>
<tr>
<td align="left" valign="top">05.02</td>
<td align="center" valign="top">1,190.5</td>
<td align="center" valign="top">475.4</td>
<td align="center" valign="top">280.9</td>
<td align="center" valign="top">/</td>
<td align="center" valign="top">41</td>
<td align="center" valign="top">/</td>
</tr>
<tr>
<td align="left" valign="top">05.03</td>
<td align="center" valign="top">942.9</td>
<td align="center" valign="top">227.5</td>
<td align="center" valign="top">232</td>
<td align="center" valign="top">75</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">7.6</td>
</tr>
<tr>
<td align="left" valign="top">05.07</td>
<td align="center" valign="top">256.8</td>
<td align="center" valign="top">63.5</td>
<td align="center" valign="top">/</td>
<td align="center" valign="top">/</td>
<td align="center" valign="top">/</td>
<td align="center" valign="top">/</td>
</tr>
<tr>
<td align="left" valign="top">05.14</td>
<td align="center" valign="top">46.1</td>
<td align="center" valign="top">20.4</td>
<td align="center" valign="top">/</td>
<td align="center" valign="top">/</td>
<td align="center" valign="top">/</td>
<td align="center" valign="top">/</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>ALT, serum alanine aminotransferase; AST, aspartate aminotransferase; LDH, lactate dehydrogenase; ALP, alkaline phosphatase; GGT, &#x03B3;-Glutamyltransferase; TBil, total bilirubin.</p>
</table-wrap-foot>
</table-wrap>
<p>The participant remained asymptomatic throughout the 18-day follow-up period, and the adverse event (AE) resolved.</p>
<sec id="sec11">
<title>PGx and <italic>HLA</italic> gene analyses</title>
<p>In the study, we analyzed one participant who developed acute liver injury (case) and four unaffected participants (controls) (<xref ref-type="table" rid="tab3">Table 3</xref>). To investigate the genetic basis of the hepatotoxicity, we performed comprehensive PGx and <italic>HLA</italic> genotyping (<xref ref-type="fig" rid="fig1">Figure 1A</xref>). The pharmacogenomic analysis of 4,343 loci across all five samples revealed 2,044 variants in the index case (R001) (<xref ref-type="supplementary-material" rid="SM1">Supplementary file 1</xref>), including 18 high-frequency variants in the Chinese population (<xref ref-type="supplementary-material" rid="SM2">Supplementary file 2</xref>). The control variant counts were 1,986 (YJHU1), 2,056 (YJHU2), 1,981 (LYMI), and 2,018 (PAXI) (<xref ref-type="fig" rid="fig1">Figure 1B</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary file 1</xref>). <xref ref-type="fig" rid="fig1">Figure 1C</xref> displays the distribution of the low-frequency variants (MAF&#x202F;&#x003C;&#x202F;5%). The comparative analysis identified 148 unique loci in R001 compared to the controls (<xref ref-type="fig" rid="fig2">Figure 2A</xref>; <xref ref-type="supplementary-material" rid="SM3">Supplementary file 3</xref>). The haplotype analysis of 10 pharmacogenes influencing drug metabolism (<italic>CYP2B6</italic>, <italic>CYP2C19</italic>, <italic>CYP2C9</italic>, <italic>CYP2D6</italic>, <italic>CYP3A4</italic>, <italic>CYP3A5</italic>, <italic>NUDT15</italic>, <italic>SLCO1B1</italic>, <italic>TPMT</italic>, and <italic>UGT1A1</italic>) revealed that R001 carried a <italic>NUDT15 &#x002A;3/&#x002A;3</italic> diplotype, indicating a slow metabolizer status (<xref ref-type="table" rid="tab4">Table 4</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Sample information is shown in the following table.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Sample</th>
<th align="left" valign="top">Group</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">R001</td>
<td align="left" valign="top">Case</td>
</tr>
<tr>
<td align="left" valign="top">YJHU1</td>
<td align="left" valign="top">Control</td>
</tr>
<tr>
<td align="left" valign="top">YJHU2</td>
<td align="left" valign="top">Control</td>
</tr>
<tr>
<td align="left" valign="top">LYMI</td>
<td align="left" valign="top">Control</td>
</tr>
<tr>
<td align="left" valign="top">PAXI</td>
<td align="left" valign="top">Control</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p><bold>(A)</bold> Flowchart of the pharmacogenomic analysis and HLA gene analysis. <bold>(B)</bold> The possibility of drug-gene involvement in alarelin acetate-induced liver injury. Loci with a gene frequency of less than 5% are annotated. <bold>(C)</bold> The possibility that alarelin acetate-induced liver injury is associated with highly variable drug-gene loci specific to the Chinese population.</p>
</caption>
<graphic xlink:href="fmed-12-1634101-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Illustration of a DNA sequencing process and analysis, followed by scatter plots. Panel A shows the steps: sample collection, DNA extraction, library construction, sequencing, and data analysis. Panel B contains scatter plots with data points labeled by gene IDs for multiple samples. Panel C shows similar scatter plots highlighting specific gene instances.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p><bold>(A)</bold> Venn diagram of the variation site differences between the control sample and case sample. <bold>(B)</bold> The possibility that alarelin acetate-induced liver injury is related to <italic>HLA</italic> genes.</p>
</caption>
<graphic xlink:href="fmed-12-1634101-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Venn diagram and scatter plots are shown. The Venn diagram (A) displays overlap between two groups: Control with 1,126 unique elements, and R0001 with 148, sharing 1,881 elements. The scatter plots (B) display data points across five different subsets: R0001, YJHU1, YJHU2, LYMI, and PAXI. Each point is labeled, with axes representing different numerical scales, where x-values likely reflect sample identifiers and y-values represent frequencies or percentages.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Genes for drug-metabolizing enzymes.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Gene</th>
<th align="left" valign="top">Reference base (s)</th>
<th align="left" valign="top">Result</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top"><italic>CYP2B6</italic></td>
<td align="left" valign="top">&#x002A;1/&#x002A;1</td>
<td align="left" valign="top">&#x002A;1/&#x002A;1 (Normal metabolism)</td>
</tr>
<tr>
<td align="left" valign="top"><italic>CYP2C19</italic></td>
<td align="left" valign="top">&#x002A;38/&#x002A;38</td>
<td align="left" valign="top">&#x002A;38/&#x002A;38 (Normal metabolism)</td>
</tr>
<tr>
<td align="left" valign="top"><italic>CYP2C9</italic></td>
<td align="left" valign="top">&#x002A;1/&#x002A;1</td>
<td align="left" valign="top">&#x002A;1/&#x002A;1 (Normal metabolism)</td>
</tr>
<tr>
<td align="left" valign="top"><italic>CYP2D6</italic></td>
<td align="left" valign="top">&#x002A;1/&#x002A;1</td>
<td align="left" valign="top">&#x002A;10/&#x002A;34 (Normal metabolism)</td>
</tr>
<tr>
<td align="left" valign="top"><italic>CYP3A4</italic></td>
<td align="left" valign="top">&#x002A;1/&#x002A;1</td>
<td align="left" valign="top">&#x002A;1/&#x002A;1 (Normal metabolism)</td>
</tr>
<tr>
<td align="left" valign="top"><italic>CYP3A5</italic></td>
<td align="left" valign="top">&#x002A;1/&#x002A;1</td>
<td align="left" valign="top">&#x002A;1/&#x002A;3 (Normal metabolism)</td>
</tr>
<tr>
<td align="left" valign="top"><italic>NUDT15</italic></td>
<td align="left" valign="top">&#x002A;1/&#x002A;1</td>
<td align="left" valign="top">&#x002A;3/&#x002A;3 (poor metabolism)</td>
</tr>
<tr>
<td align="left" valign="top"><italic>SLCO1B1</italic></td>
<td align="left" valign="top">&#x002A;1/&#x002A;1</td>
<td align="left" valign="top">&#x002A;1/&#x002A;37 (Normal metabolism)</td>
</tr>
<tr>
<td align="left" valign="top"><italic>TPMT</italic></td>
<td align="left" valign="top">&#x002A;1/&#x002A;1</td>
<td align="left" valign="top">&#x002A;1/&#x002A;1 (Normal metabolism)</td>
</tr>
<tr>
<td align="left" valign="top"><italic>UGT1A1</italic></td>
<td align="left" valign="top">&#x002A;1/&#x002A;1</td>
<td align="left" valign="top">&#x002A;1/&#x002A;1 (Normal metabolism)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>CYP, cytochrome P450 enzyme; NUDT15, nudix hydrolase 15; SLCO1B1, solute carrier organic anion transporter family member 1B1; TPMT, thiopurine S-methyltransferase; UGT1A1, UDP-glucuronosyltransferase 1A1.</p>
</table-wrap-foot>
</table-wrap>
<p>High-resolution <italic>HLA</italic> genotyping was completed for all participants (<xref ref-type="supplementary-material" rid="SM4">Supplementary file 4</xref>). The case participant (R001) exhibited 40 distinct <italic>HLA</italic> alleles (<xref ref-type="supplementary-material" rid="SM5">Supplementary file 5</xref>). The analysis of rare <italic>HLA</italic> alleles (MAF&#x202F;&#x003C;&#x202F;5% in the Chinese population) revealed the following: R001 had <italic>HLA-A&#x002A;02:03, HLA-B&#x002A;39:09, HLA-DPB1&#x002A;14:01, HLA-DQB1&#x002A;04:01, HLA-DQA1&#x002A;03:03,</italic> and <italic>HLA-DRB1&#x002A;04:05</italic>. In the control group, YJHU1 had <italic>HLA-A&#x002A;02:03, HLA-B&#x002A;15:02,</italic> and <italic>HLA-C&#x002A;04:03</italic>; YJHU2 had <italic>HLA-B&#x002A;13:01, HLA-B&#x002A;27:04, HLA-C&#x002A;12:02, HLA-DRB1&#x002A;16:02, HLA-DPB1&#x002A;14:01,</italic> and <italic>HLA-DMB&#x002A;01:02</italic>; LYMI had <italic>HLA-B&#x002A;58:01, HLA-DRB1&#x002A;03:01,</italic> and <italic>HLA-DQA1&#x002A;05:01</italic>; and PAXI had <italic>HLA-A&#x002A;11:02, HLA-B&#x002A;15:02,</italic> and <italic>HLA-DRB1&#x002A;12:01</italic> (<xref ref-type="fig" rid="fig2">Figure 2B</xref>; <xref ref-type="table" rid="tab5">Table 5</xref>).</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p><italic>HLA SNPs</italic> with MAF&#x202F;&#x003C;&#x202F;5% in Chinese population.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Sample</th>
<th align="left" valign="top"><italic>SNPs</italic> with MAF&#x202F;&#x003C;&#x202F;5% in Chinese population</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">R001</td>
<td align="left" valign="top"><italic>B&#x002A;39:09, A&#x002A;02:03, DPB1&#x002A;14:01, DQB1&#x002A;04:01, DQA1&#x002A;03:03, DRB1&#x002A;04:05</italic></td>
</tr>
<tr>
<td align="left" valign="top">T001</td>
<td align="left" valign="top"><italic>A&#x002A;02:03</italic>, <italic>B&#x002A;15:02</italic>, <italic>C&#x002A;04:03</italic></td>
</tr>
<tr>
<td align="left" valign="top">T002</td>
<td align="left" valign="top"><italic>B&#x002A;13:01</italic>, <italic>B&#x002A;27:04</italic>, <italic>C&#x002A;12:02</italic>, <italic>DRB1&#x002A;16:02</italic>, <italic>DPB1&#x002A;14:01</italic>, <italic>DMB&#x002A;01:02</italic></td>
</tr>
<tr>
<td align="left" valign="top">T003</td>
<td align="left" valign="top"><italic>B&#x002A;58:01</italic>, <italic>DRB1&#x002A;03:01</italic>, <italic>DQA1&#x002A;05:01</italic></td>
</tr>
<tr>
<td align="left" valign="top">T004</td>
<td align="left" valign="top"><italic>A&#x002A;11:02</italic>, <italic>B&#x002A;15:02</italic>, <italic>DRB1&#x002A;12:01</italic></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>SNPs, single nucleotide polymorphisms; MAF, minor allele frequency.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec12">
<title>Discussion</title>
<p>As a synthetic GnRH analogue, alarelin acetate is widely used in the treatment of endometriosis and hormone-sensitive tumors. However, alarelin acetate-induced DILI is extremely rare, and the mechanism is unknown. This study is the first to report a clinical case of alarelin acetate-associated DILI with an in-depth genetic analysis. This case expands the cognitive scope of the safety of GnRH analogues, suggesting that alarelin acetate may mediate hepatotoxicity through <italic>HLA</italic>-restricted immune mechanisms. Our study revealed three possible key mechanisms: metabolic pathway-related gene variants (CYP-UGT pathway), a <italic>NUDT15</italic> slow metabolism-related phenotype, and an abnormal immune response mediated by <italic>HLA</italic> polymorphism. Together, these factors formed the basis for triple susceptibility in this case.</p>
<p>The polymorphism of drug-metabolizing enzyme genes is the core factor leading to inter-individual differences observed in drug responses. In this study, we found that the case samples carried multiple low-frequency genetic variants (MAF&#x202F;&#x003C;&#x202F;5%), including <italic>MYC</italic> (rs4645962 T&#x202F;&#x003E;&#x202F;C), <italic>EPHA4</italic> (rs79551441 -&#x003E;&#x202F;T), and <italic>FLT1</italic> (rs12877323 T&#x202F;&#x003E;&#x202F;G). These variants may increase liver sensitivity to injury by altering pharmacokinetic profiles. Notably, <italic>MARK3</italic> (rs5811102 -&#x003E;&#x202F;T), <italic>EPHA4</italic> (rs79551441 -&#x003E;&#x202F;T), and <italic>ABCG2</italic> (rs2725271 C&#x202F;&#x003E;&#x202F;T) belonged to the 532 high-frequency variant loci identified in the Chinese population (<xref ref-type="bibr" rid="ref16">16</xref>). These results indicate that ethnic-specific genetic backgrounds may play an important role in the occurrence of DILI.</p>
<p>A number of studies have confirmed that variants in the genes of drug transporters and metabolic enzymes are closely related to the risk of DILI. Several loci detected in this case have been previously reported to be associated with the occurrence of DILI: <italic>ABCB1</italic> (rs2032582 A&#x202F;&#x003E;&#x202F;C) affects the hepatobiliary transport of multiple drugs (<xref ref-type="bibr" rid="ref17">17</xref>), <italic>CYP2C8</italic> (rs11572078 -&#x003E;&#x202F;A) and <italic>CYP2E1</italic> (rs2070676 -&#x003E;&#x202F;C) are involved in drug oxidative metabolism (<xref ref-type="bibr" rid="ref18">18</xref>), and <italic>IL6</italic> (rs2069840 C&#x202F;&#x003E;&#x202F;G) regulates the inflammatory response (<xref ref-type="bibr" rid="ref19">19</xref>). In contrast, multiple variants in the <italic>UGT1A9</italic> cluster (rs11568319 -&#x003E;&#x202F;G, rs12052787 -&#x003E;&#x202F;T, and others) affect glucuronic acid binding, a key detoxification pathway in phase II drug metabolism (<xref ref-type="bibr" rid="ref20">20</xref>). The synergistic variation of these metabolic pathway genes may significantly reduce the liver&#x2019;s ability to process drugs and their active metabolites, leading to the accumulation of toxic substances.</p>
<p>The presence of the <italic>NUDT15&#x002A;3/&#x002A;3</italic> polymorphism (rs116855232) in this case requires further discussion. NUDT15, as a nucleotide pyrohydrolase, plays a key role in the metabolism of thiopurines, such as azathioprine (<xref ref-type="bibr" rid="ref21">21</xref>). The hypometabolic phenotype of this gene is more common in Asian populations and leads to abnormal accumulation of the active metabolite 6-thioguanine nucleotide, increasing the risk of myelosuppression (<xref ref-type="bibr" rid="ref22">22</xref>). Notably, the <italic>NUDT15&#x002A;3/&#x002A;3</italic> genotype was found to be associated with azathioprine-induced liver injury (<xref ref-type="bibr" rid="ref23">23</xref>). However, alarelin acetate is a peptide drug whose metabolism is theoretically independent of the <italic>NUDT15</italic> pathway. Our findings provide new insights into the role of <italic>NUDT15</italic> in the hepatotoxicity of non-thiopurines.</p>
<p>The polymorphism of the <italic>HLA</italic> system plays a decisive role in the drug-specific immune response (<xref ref-type="bibr" rid="ref24 ref25 ref26 ref27">24&#x2013;27</xref>). This study found that the patient carried multiple <italic>HLA</italic> alleles associated with adverse drug reactions, forming a unique immune susceptibility background (<xref ref-type="table" rid="tab6">Table 6</xref>). These alleles show clear patterns associated with different organ damage, especially in the skin and liver. The skin, another common target organ, shows different characteristics of the <italic>HLA</italic> association. <italic>HLA-A&#x002A;24:02, HLA-B&#x002A;40:01, HLA-DPA1&#x002A;02:02,</italic> and <italic>HLA-DRB1&#x002A;04:05</italic> carried by this patient are associated with severe skin reactions, such as antipsychotic-induced drug reaction with eosinophilia and systemic symptoms (DRESS) and Stevens&#x2013;Johnson syndrome (SJS) (<xref ref-type="bibr" rid="ref28 ref29 ref30 ref31">28&#x2013;31</xref>). <italic>HLA-DQA1&#x002A;03:03</italic> and <italic>HLA-DQB1&#x002A;04:01</italic> have also been reported to be associated with drug-induced cutaneous adverse reactions (<xref ref-type="bibr" rid="ref32">32</xref>). The liver, a major metabolic organ, exhibits significant gene-drug specificity in <italic>HLA</italic>-related drug-induced damage. For example, liver injury caused by amoxicillin-clavulanic acid is associated with the <italic>HLA-DRB1&#x002A;15:01</italic> and <italic>HLA-DQB1&#x002A;06:01</italic> haplotypes (<xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref34">34</xref>). Liver injury caused by antituberculosis drugs is associated with the <italic>HLA-DQA1&#x002A;01:02</italic> haplotype (<xref ref-type="bibr" rid="ref35">35</xref>). In addition, <italic>HLA-B&#x002A;39:09</italic> is related to clozapine-induced agranulocytosis (<xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref37">37</xref>). <italic>HLA-DPA1&#x002A;02:01</italic> is related to a negative antibody after measles vaccination (<xref ref-type="bibr" rid="ref38">38</xref>). By altering the structure of the antigen-binding groove, these alleles affect the recognition efficiency of the drug&#x2013;antigen complex with the T-cell receptor, resulting in pathological immune activation.</p>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p><italic>HLA</italic> genotyping of R001 and ADR.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">HLA type</th>
<th align="left" valign="top">Drug</th>
<th align="left" valign="top">ADR</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top"><italic>HLA-A&#x002A;24:02</italic></td>
<td align="left" valign="top">Phenytoin, Lamotrigine, Methazolamide</td>
<td align="left" valign="top">DRESS/SJS/TEN</td>
</tr>
<tr>
<td align="left" valign="top"><italic>HLA-B&#x002A;40:01</italic></td>
<td align="left" valign="top">Carbamazepine</td>
<td align="left" valign="top">DRESS</td>
</tr>
<tr>
<td align="left" valign="top"><italic>HLA-DRB1&#x002A;04:05</italic></td>
<td align="left" valign="top">Methazolamide</td>
<td align="left" valign="top">SJS/TEN</td>
</tr>
<tr>
<td align="left" valign="top"><italic>HLA-DPA1&#x002A;02:02</italic></td>
<td align="left" valign="top">Carbamazepine</td>
<td align="left" valign="top">MPE</td>
</tr>
<tr>
<td align="left" valign="top"><italic>HLA-DQA1&#x002A;03:03</italic></td>
<td align="left" valign="top">Lamotrigine</td>
<td align="left" valign="top">Cutaneous adverse drug reactions</td>
</tr>
<tr>
<td align="left" valign="top"><italic>HLA-DQB1&#x002A;04:01</italic></td>
<td align="left" valign="top">Lamotrigine</td>
<td align="left" valign="top">Cutaneous adverse drug reactions</td>
</tr>
<tr>
<td align="left" valign="top"><italic>HLA-DRB1&#x002A;15:01</italic></td>
<td align="left" valign="top">Amoxicillin/clavulanic acid</td>
<td align="left" valign="top">Hepatitis</td>
</tr>
<tr>
<td align="left" valign="top"><italic>HLA-DQB1&#x002A;06:01</italic></td>
<td align="left" valign="top">Amoxicillin/clavulanic acid</td>
<td align="left" valign="top">Hepatitis</td>
</tr>
<tr>
<td align="left" valign="top"><italic>HLA-DQA1&#x002A;01:02</italic></td>
<td align="left" valign="top">Antituberculosis drugs</td>
<td align="left" valign="top">Hepatotoxicity</td>
</tr>
<tr>
<td align="left" valign="top"><italic>HLA-B&#x002A;39:09</italic></td>
<td align="left" valign="top">Clozapine</td>
<td align="left" valign="top">Agranulocytosis</td>
</tr>
<tr>
<td align="left" valign="top"><italic>HLA-DPA1&#x002A;02:01</italic></td>
<td align="left" valign="top">Measles vaccine</td>
<td align="left" valign="top">Negative antibody</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>DRESS, drug reaction with eosinophilia and systemic symptoms complex; SJS, Stevens-Johnson syndrome; TEN, toxic epidermal necrolysis; MPE, maculopapular exanthema.</p>
</table-wrap-foot>
</table-wrap>
<p>Although this study provides important genetic insights into alarelin acetate-associated DILI, there are still some limitations: (a) sample size limitation: It is difficult to distinguish pathogenic mutations from benign polymorphisms in single-case reports, and it is necessary to expand the sample size in order to verify key genetic markers. (b) Lack of functional validation: the actual ability of <italic>HLA</italic> molecules to present the alarelin acetate antigen or elicit a T-cell response was not confirmed. (c) Insufficient integration of multi-omics data: There was a lack of synergistic analysis of epigenetic regulation, transcriptomic data, and proteomic information. (d) Insufficient population diversity: The study was based on an Asian population, and the results may not apply to other ethnic groups.</p>
</sec>
<sec sec-type="conclusions" id="sec13">
<title>Conclusion</title>
<p>In the study, we incidentally discovered and reported that alarelin acetate may induce the occurrence of DILI. We were the first to elucidate the possible causes of alarelin acetate-associated DILI by genetic analysis; however, larger clinical studies are needed to further confirm this hypothesis. In addition, this pharmacovigilance report implies the value of preemptive PGx/<italic>HLA</italic> screening in clinical trials.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec14">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="ethics-statement" id="sec15">
<title>Ethics statement</title>
<p>The study protocol was approved by Changsha Third Hospital Ethics Committee (No. LZ-BARL-PK-01) and registered at <ext-link xlink:href="https://ClinicalTrials.gov" ext-link-type="uri">ClinicalTrials.gov</ext-link> (NCT2023LP02263). All participants were self-reported as Han Chinese and provided written informed consent. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec sec-type="author-contributions" id="sec16">
<title>Author contributions</title>
<p>FY: Methodology, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Funding acquisition. PZ: Writing &#x2013; original draft, Data curation. ML: Writing &#x2013; original draft, Methodology. YL: Methodology, Writing &#x2013; original draft. BX: Supervision, Writing &#x2013; original draft. XL: Funding acquisition, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec17">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the Hunan Provincial Key Laboratory of Anti-Resistance Microbial Drugs (No. 2023TP1013), the Project of Changsha Municipal Health Commission (No. KJ-B2023064).</p>
</sec>
<sec sec-type="COI-statement" id="sec18">
<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="sec19">
<title>Generative AI statement</title>
<p>The authors declare that no Gen 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="sec20">
<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="sec21">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fmed.2025.1634101/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fmed.2025.1634101/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Supplementary_file_1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"><label>SUPPLEMENTARY FILE 1</label><caption><p>The pharmacogenomics results of 4,343 locus in 5 samples was assessed, 2,044 (R001), 1,986 (YJHU1), 2,056 (YJHU2), 1,981 (LYMI) and 2,018 (PAXI) pharmacogenomic mutations were detected.</p></caption></supplementary-material>
<supplementary-material xlink:href="Supplementary_file_2.xlsx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"><label>SUPPLEMENTARY FILE 2</label><caption><p>18 high-frequency genes in the Chinese population were found in R001.</p></caption></supplementary-material>
<supplementary-material xlink:href="Supplementary_file_3.xlsx" id="SM3" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"><label>SUPPLEMENTARY FILE 3</label><caption><p>148 unique loci were found in R001.</p></caption></supplementary-material>
<supplementary-material xlink:href="Supplementary_file_4.xlsx" id="SM4" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"><label>SUPPLEMENTARY FILE 4</label><caption><p>The genotyping of 22 <italic>HLA</italic> genes in 5 samples.</p></caption></supplementary-material>
<supplementary-material xlink:href="Table_1.docx" id="SM5" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"><label>SUPPLEMENTARY FILE 5</label><caption><p>Forty <italic>HLA</italic> alleles were detected in R001 by <italic>HLA</italic> genotyping.</p></caption></supplementary-material>
</sec>
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</ref-list>
<glossary>
<def-list>
<title>Glossary</title>
<def-item>
<term>GnRH</term>
<def>
<p>gonadotropin-releasing hormone</p>
</def>
</def-item>
<def-item>
<term>SNPs</term>
<def>
<p>single-nucleotide polymorphisms</p>
</def>
</def-item>
<def-item>
<term>DILI</term>
<def>
<p>drug-induced liver injury</p>
</def>
</def-item>
<def-item>
<term>HLA</term>
<def>
<p>human leukocyte antigen</p>
</def>
</def-item>
<def-item>
<term>ALT</term>
<def>
<p>alanine aminotransferase</p>
</def>
</def-item>
<def-item>
<term>AST</term>
<def>
<p>aspartate aminotransferase</p>
</def>
</def-item>
<def-item>
<term>LDH</term>
<def>
<p>lactate dehydrogenase</p>
</def>
</def-item>
<def-item>
<term>ALP</term>
<def>
<p>alkaline phosphatase</p>
</def>
</def-item>
<def-item>
<term>GGT&#x03B3;</term>
<def>
<p>Glutamyltransferase</p>
</def>
</def-item>
<def-item>
<term>TBil</term>
<def>
<p>total bilirubin</p>
</def>
</def-item>
<def-item>
<term>PGx</term>
<def>
<p>pharmacogenomic</p>
</def>
</def-item>
<def-item>
<term>CYP450</term>
<def>
<p>cytochrome P450 proteins</p>
</def>
</def-item>
<def-item>
<term>UGTs</term>
<def>
<p>UDP-glucuronosyltransferases</p>
</def>
</def-item>
<def-item>
<term>GST</term>
<def>
<p>glutathione S-transferases</p>
</def>
</def-item>
<def-item>
<term>NAT</term>
<def>
<p>N-acetyltransferase</p>
</def>
</def-item>
<def-item>
<term>MAF</term>
<def>
<p>minor allele frequency</p>
</def>
</def-item>
<def-item>
<term>RUCAM</term>
<def>
<p>Roussel Uclaf Causality Assessment Method</p>
</def>
</def-item>
<def-item>
<term>NUDT15</term>
<def>
<p>NUDIX-type 15</p>
</def>
</def-item>
<def-item>
<term>DRESS</term>
<def>
<p>drug reaction with eosinophilia and systemic symptoms</p>
</def>
</def-item>
<def-item>
<term>SJS</term>
<def>
<p>Stevens&#x2013;Johnson syndrome</p>
</def>
</def-item>
<def-item>
<term>TEN</term>
<def>
<p>toxic epidermal necrolysis</p>
</def>
</def-item>
<def-item>
<term>MPE</term>
<def>
<p>maculopapular exanthema</p>
</def>
</def-item>
</def-list>
</glossary>
</back>
</article>