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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Genet.</journal-id>
<journal-title>Frontiers in Genetics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Genet.</abbrev-journal-title>
<issn pub-type="epub">1664-8021</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1594648</article-id>
<article-id pub-id-type="doi">10.3389/fgene.2025.1594648</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Genetics</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Gene polymorphisms associated with immunosuppressant adverse effects in systemic lupus erythematosus: a narrative review</article-title>
<alt-title alt-title-type="left-running-head">Hamdani et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fgene.2025.1594648">10.3389/fgene.2025.1594648</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Hamdani</surname>
<given-names>Siva</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>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hamijoyo</surname>
<given-names>Laniyati</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1713470/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Amalia</surname>
<given-names>Riezki</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1652974/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Barliana</surname>
<given-names>Melisa I.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1467143/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Biological Pharmacy</institution>, <institution>Faculty of Pharmacy</institution>, <institution>Universitas Padjadjaran</institution>, <addr-line>Sumedang</addr-line>, <country>Indonesia</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Unit of Pharmacology</institution>, <institution>Clinical Pharmacy and Community</institution>, <institution>Faculty of Science</institution>, <institution>Universitas Garut</institution>, <addr-line>Garut</addr-line>, <country>Indonesia</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Division of Rheumatology</institution>, <institution>Department of Internal Medicine</institution>, <institution>Faculty of Medicine</institution>, <institution>Universitas Padjadjaran</institution>, <institution>Hasan Sadikin Hospital</institution>, <addr-line>Bandung</addr-line>, <country>Indonesia</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Pharmacology and Clinical Pharmacy</institution>, <institution>Faculty of Pharmacy</institution>, <institution>Universitas Padjadjaran</institution>, <addr-line>Bandung</addr-line>, <country>Indonesia</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Center of Excellence for Pharmaceutical Care Innovation</institution>, <institution>Universitas Padjadjaran</institution>, <addr-line>Bandung</addr-line>, <country>Indonesia</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/138574/overview">Simone L. Cree</ext-link>, University of Otago, New Zealand</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/55640/overview">Eng Wee Chua</ext-link>, National University of Malaysia, Malaysia</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2852461/overview">Yen Yen Ari Indrawijaya</ext-link>, Universitas Islam Negeri Maulana Malik Ibrahim, Indonesia</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Siva Hamdani, <email>siva21002@mail.unpad.ac.id</email>; Melisa I. Barliana, <email>melisa.barliana@unpad.ac.id</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>24</day>
<month>06</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1594648</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>03</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>05</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Hamdani, Hamijoyo, Amalia and Barliana.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Hamdani, Hamijoyo, Amalia and Barliana</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>
<p>Systemic Lupus Erythematosus (SLE) is an autoimmune disease that often requires treatment with immunosuppressant drugs to manage symptoms and prevent organ damage. However, the use of immunosuppressant can be associated with various adverse effects. The spectrum of immunosuppressant toxicity is influenced by various factors such as organ function and medication interval, but genetic variations&#x2014;particularly single nucleotide polymorphisms&#x2014;have emerged as critical determinants due to their direct impact on the drug&#x2019;s pharmacokinetics and pharmacodynamics alteration, also on patient susceptibility to adverse reactions. This review summarizes the current knowledge on gene polymorphisms associated with immunosuppressant adverse effects in SLE patients, focusing on commonly used drugs such as Methotrexate (MTX), Azathioprine (AZA), Cyclophosphamide (CYC), and Mycophenolate Mofetil (MMF). A total of 23 relevant studies published in the last decade were identified through a comprehensive literature search, specifically investigating the relationship between gene polymorphisms and adverse drug reactions in SLE patients. The findings reveal that gene polymorphisms are frequently associated with adverse effects for each immunosuppressant, including MTX (<italic>MTHFR</italic> and <italic>ATIC</italic>), AZA (<italic>TPMT, NUDT15, ITPA, ABCC4</italic>), CYC (<italic>CYP2C19, GSTM1, GSTT1, GSTP1, ALDH</italic>), and MMF (<italic>SLCO1B1, IMPDH1, UGT2B7</italic>). Understanding the functional implications of these gene polymorphisms contributes to the application of precision medicine, as they can serve as potential markers for drug selection and dosage adjustment during initiation treatment of immunosuppressant to enhance treatment efficacy, minimize toxicity, and improve outcomes for SLE patients.</p>
</abstract>
<kwd-group>
<kwd>single nucleotide polymorphism</kwd>
<kwd>adverse effect</kwd>
<kwd>methotrexate</kwd>
<kwd>azathioprine</kwd>
<kwd>cyclophosphamide</kwd>
<kwd>mycophenolate mofetil</kwd>
</kwd-group>
<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>1 Introduction</title>
<p>Systemic Lupus Erythematosus (SLE) is a chronic autoimmune inflammatory disease featuring complex pathogenesis that affects various organ systems, leading to significant mortality and morbidity (<xref ref-type="bibr" rid="B6">Basta et al., 2020</xref>; <xref ref-type="bibr" rid="B10">Cattaneo et al., 2008</xref>). The incidence and prevalence of SLE vary widely across different ethnicities and regions, including the United States, Europe, the Middle East, and Asia (<xref ref-type="bibr" rid="B38">Ju et al., 2016</xref>). Treatment management strategies depend on disease type and severity, with mild to moderate cases typically treated using nonsteroidal anti-inflammatory drugs (NSAIDs), antimalarial agents (e.g., hydroxychloroquine), and corticosteroids. As the disease severity increases, high-dose corticosteroids and immunosuppressive agents, including Methotrexate (MTX), azathioprine (AZA), cyclophosphamide (CYC), and mycophenolate mofetil (MMF), are often used to control symptoms. The selection of immunosuppressant in SLE patients depends on disease manifestations, organ involvement, patient age, childbearing potential, safety considerations, and cost. However, their clinical utility is frequently constrained by serious adverse effects due to their narrow therapeutic index. These adverse effects not only increase the risk of long-term organ damage and treatment failure but also contribute to higher mortality rates and reduced quality of life, even during remission phases (<xref ref-type="bibr" rid="B6">Basta et al., 2020</xref>).</p>
<p>Among the many factors influencing immunosuppressant-related serious adverse effects, genetic variability&#x2014;particularly in the form of single nucleotide polymorphisms (SNPs)&#x2014;has gained considerable attention. These genetic differences can affect drug metabolism, efficacy, and the likelihood of adverse effects. Pharmacogenomics, the study of the role of genetics in drug response, was introduced to optimize the treatment while minimizing drug-related toxicity using SNPs as molecular markers, forming the basis for precision medicine (<xref ref-type="bibr" rid="B10">Cattaneo et al., 2008</xref>). A growing number of pharmacogenomic studies in SLE have explored the role of SNPs in determining the safety and effectiveness of immunosuppressants (<xref ref-type="bibr" rid="B65">Petri et al., 2012</xref>). This narrative review aims to summarize and discuss the current knowledge on gene polymorphisms associated with adverse effects from the most commonly used immunosuppressants in SLE: MTX, AZA, CYC, and MMF. Although these agents are administered within relatively standardized therapeutic dose ranges, the incidence and severity of adverse effects vary significantly among individuals. This variability can be attributed, in part, to genetic polymorphisms that affect drug metabolism, transport, and cellular targets. Therefore, elucidating the role of genetic polymorphisms is essential for understanding the underlying mechanisms of immunosuppressant-induced adverse effects. By highlighting the associations between specific genetic variants and drug toxicities, this review provides a foundation for integrating genetic screening into clinical decision-making. Such an approach may enhance treatment efficacy and safety, ultimately leading to improved SLE patient outcomes. The subsequent sections of this review will explore each immunosuppressant in detail. For each drug, we will discuss its pharmacological mechanism, common adverse effects, and the genetic polymorphisms known to influence its toxicity. This structure is intended to offer a practical, drug-centered understanding of how pharmacogenetics can inform and refine SLE treatment.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>2 Method</title>
<p>This manuscript is a narrative review article. The search strategy and inclusion criteria were conducted using Google Scholar and PubMed databases, which include the use of Boolean operators for keyword combinations. Specifically, these keywords were combined using Boolean operators (AND, OR) as follows: &#x201c;genetic polymorphism&#x201d; OR &#x201c;SNPs&#x201d; AND &#x201c;immunosuppressant drugs&#x201d; OR &#x201c;azathioprine&#x201d; OR &#x201c;thiopurine&#x201d; OR &#x201c;methotrexate&#x201d; OR &#x201c;cyclophosphamide&#x201d; OR &#x201c;mycophenolate mofetil&#x201d; OR &#x201c;SLE therapy&#x201d; AND &#x201c;Adverse effects&#x201d;. We included studies published in English, excluding narrative reviews, communication studies, and unpublished manuscripts. A total of 23 articles from the past 10 years were included in the review, categorized by drug: 7 on MTX, 8 on AZA, 6 on CYC, and 2 on MMF.</p>
</sec>
<sec id="s3">
<title>3 Gene polymorphisms and adverse effects of immunosuppressants in SLE</title>
<p>SLE is a highly diverse autoimmune condition, showing a wide array of symptoms and affecting various organs (<xref ref-type="bibr" rid="B6">Basta et al., 2020</xref>; <xref ref-type="bibr" rid="B10">Cattaneo et al., 2008</xref>; <xref ref-type="bibr" rid="B38">Ju et al., 2016</xref>; <xref ref-type="bibr" rid="B65">Petri et al., 2012</xref>; <xref ref-type="bibr" rid="B33">Hochberg, 1997</xref>). This disease arises when the immune system erroneously attacks healthy tissues, leading to inflammation and harm, such as visceral damage, flare-ups, neuropsychiatric lupus, and many more. The severity and specific expressions of SLE can differ significantly from one individual to another. Patients with mild SLE are primarily given a low dose of glucocorticoids (GCs) as therapy because of effectivity in controlling SLE activity rapidly and reducing exacerbation (<xref ref-type="bibr" rid="B40">Katarzyna et al., 2023</xref>). A higher dose of GCs is used during more severe SLE activity or in some life-threatening conditions, such as lupus nephritis (LN). However, the adverse effects of GCs are dose-dependent, suggesting that an increase in administered GCs dose leads to higher risk of adverse effects, such as infection, cardiovascular disease, cancer, osteoporosis, and many more (<xref ref-type="bibr" rid="B49">McKeon and Jiang, 2020</xref>). To mitigate these risks, combination therapy involving GCs and immunosuppressive agents is often employed. As reviewed in the literature, most patients receiving immunosuppressive treatment also remain on concurrent GC therapy to achieve synergistic therapeutic effects.</p>
<p>Immunosuppressant is used when the disease progresses from moderate to severe condition and the administration of GCs as SLE first-line treatment cannot sustain clinical remission (<xref ref-type="bibr" rid="B21">Gatto et al., 2019</xref>). In general, the immunosuppressant mechanism of action requires suppressing and decreasing the autoimmune responses, which can target various organs and systems in the body. This serves to minimize damage in various organs, thereby preventing life-threatening conditions. The use of the immunosuppressant is based on the organs engaged in SLE activity and the conditions of patients. Moderately active lupus and joints involved are treated with MTX, while LN and other severe cases are treated primarily with MMF and CYC (<xref ref-type="bibr" rid="B52">Mohamed et al., 2019</xref>; <xref ref-type="bibr" rid="B19">Fraenkel et al., 2021</xref>).</p>
<p>Immunosuppressant administration can decrease GCs exposure, stabilize SLE, and increase the probability of better survival than using GCs alone but toxicity incidence is high, ranging from 42.8% to 97.3% (<xref ref-type="bibr" rid="B63">Oglesby et al., 2013</xref>). Several immunosuppressive agents of the drugs can cause complications, such as liver dysfunction, bone marrow suppression, pulmonary toxicity, and many more. As the study of pharmacogenetics is advancing, variations in genomic diversity, including SNPs, are found to be a potential crucial factor affecting toxicity incidence due to the alteration of pharmacokinetics and pharmacodynamics of the administered drugs (<xref ref-type="bibr" rid="B50">Meng et al., 2018</xref>). The summary of all studies discussed, including the sample size, drug toxicity manifestation, and the most common gene polymorphisms associated with immunosuppressant adverse effects are shown in <xref ref-type="table" rid="T1">Table 1</xref>. Given the comparable spectrum of therapeutic doses and the potential for adverse reaction across diseases such as SLE, studies concerning genes implicated in the adverse effects of immunosuppressant drugs for treatment are also included.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Summary of immunosuppressant-related adverse effects and gene polymorphisms.</p>
</caption>
<table>
<thead valign="top">
<tr style="background-color:#A6A6A6">
<th align="center">No</th>
<th align="center">Immunosuppre-ssants</th>
<th align="center">Gene and mechanism type</th>
<th align="center">Gene variant</th>
<th align="center">Functional impact</th>
<th align="center">Drug-related adverse effects and statistic value</th>
<th align="center">Population and sample size</th>
<th align="center">Reference</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">1</td>
<td rowspan="7" align="center">METHOTREXATE (MTX)</td>
<td rowspan="4" align="center">
<italic>MTHFR;</italic> Pharmaco-dynamics</td>
<td align="center">
<italic>MTHFR</italic> c.667C&#x3e;T (rs1801133)</td>
<td rowspan="4" align="left">Reduced MTHFR enzyme activity &#x2192; disrupted folate metabolism and accumulation of homocysteine &#x2192; exacerbate MTX&#x2019;s antifolate effects, increasing the risk of adverse effects</td>
<td align="left">TT genotype was significantly associated with higher MTX toxicity (OR &#x3d; 1.615; 95% CI &#x3d; 1.185&#x2013;2.200) &#x2192; GI reactions (Abdominal pain, diarrhea, N/V), Liver disease, Tiredness</td>
<td align="center">Japan-China; 162 patients</td>
<td align="center">
<xref ref-type="bibr" rid="B76">Song et al. (2014)</xref>
</td>
</tr>
<tr>
<td align="center">2</td>
<td align="center">
<italic>MTHFR</italic> c.1298A&#x3e;C (rs1801131)</td>
<td align="left">CC genotype linked to highest MTX toxicity (83.3%; p &#x3d; 0.003) &#x2192; BMT, GI reactions (anorexia, nausea, vomiting, and diarrhea), mucocutaneous complaints (alopecia, rashes, and oral ulcers), CNS (insomnia, headache, and dizziness), hepatotoxicity</td>
<td align="center">Egypt; 50 patients</td>
<td align="center">
<xref ref-type="bibr" rid="B71">Sharaki et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="center">3</td>
<td align="center">
<italic>MTHFR</italic> c.667C&#x3e;T (rs1801133) and c.1298A&#x3e;C (rs1801131)</td>
<td align="left">&#x2022; No association was found between c.1298A&#x3e;C polymorphism and MTX toxicity<break/>&#x2022; T allele of the c.677C&#x3e;T polymorphism was associated with the occurrence of MTX adverse effects (Nausea/Vomiting, Liver intolerance, Alopecia, Normocytic-normochromic anemia, Thrombopenia)<break/>(p &#x3d; 0.019, OR: 3.63, 95% CI [1.12&#x2013;12.80])</td>
<td align="center">North India, 110 patients</td>
<td align="center">
<xref ref-type="bibr" rid="B15">Dwivedi et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="center">4</td>
<td align="center">
<italic>MTHFR</italic> c.667C&#x3e;T (rs1801133)</td>
<td align="left">A higher risk of anemia (OR &#x3d; 1.83), hepatotoxicity (OR &#x3d; 1.98), neutropenia (OR &#x3d; 2.2), and leukopenia (OR &#x3d; 2.38)</td>
<td align="center">China, 69 pediatric patients</td>
<td align="center">
<xref ref-type="bibr" rid="B90">Yang et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="center">5</td>
<td rowspan="3" align="center">
<italic>ATIC;</italic> Pharmaco-dynamics</td>
<td align="center">
<italic>ATIC</italic> c.347C&#x3e;G (rs2372536) (dominant)</td>
<td rowspan="3" align="left">Reduced ATIC activity &#x2192; Greater accumulation of AICAR &#x2192; enhancing the anti-inflammatory action of MTX</td>
<td align="left">Hepatotoxicity (p &#x3d; 0.02; OR &#x3d; 2.18)</td>
<td align="center">Portugal; 44 patients</td>
<td align="center">
<xref ref-type="bibr" rid="B48">Martusevich et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="center">6</td>
<td align="center">
<italic>ATIC</italic> c.347C&#x3e;G (rs2372536)</td>
<td align="left">GG &#x2b; GC genotypes were associated with an increased risk of MTX toxicity (p &#x3d; 0.032, Overall OR &#x3d; 1.454, 95% CI [1.034&#x2013;2.044]) &#x2192; GI complaints, hepatotoxicity, BMT, dermatological complaints, lung toxicity, nervous system toxicity, kidney toxicity, infection and osteoporosis, fatigue, epistaxis</td>
<td align="center">Caucasians, Asians; 6 patients</td>
<td align="center">
<xref ref-type="bibr" rid="B45">Lee and Bae. (2016)</xref>
</td>
</tr>
<tr>
<td align="center">7</td>
<td align="center">
<italic>ATIC</italic> c.347C&#x3e;G (rs2372536)</td>
<td align="left">GI complaints (N/V, diarrhea, <italic>etc.</italic>) OR &#x3d; 4.46; 95% CI &#x3d; 1.28&#x2013;15.52; p &#x3d; 0.02</td>
<td align="center">South India; 319 patients</td>
<td align="center">
<xref ref-type="bibr" rid="B57">Muralidharan et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="center">1</td>
<td rowspan="9" align="center">AZATHIOPRINE (AZA)</td>
<td rowspan="3" align="center">
<italic>TPMT;</italic> Pharmaco-kinetics</td>
<td align="center">
<italic>TPMT</italic>&#x2a;3C c.719A&#x3e;G (rs1142345); <italic>TPMT</italic>&#x2a;3B c.460G&#x3e;A (rs1800460); <italic>TPMT</italic>&#x2a;2 c.238G&#x3e;C (rs1800462)</td>
<td rowspan="3" align="left">Reduced TPMT enzymatic activity &#x2192; decreased inactivation of 6-MP &#x2192; accumulation of active thioguanine nucleotides &#x2192; myelosuppression</td>
<td align="left">&#x2022; <italic>TPMT</italic>&#x2a;3C was associated with leukopenia grade III/IV (OR &#x3d; 17.6; 95% CI &#x3d; 5.8&#x2013;53.6; p &#x3c; 0.0001), and thrombocytopenia (OR &#x3d; 13.4; 95% CI: 4.6&#x2013;39.2; p &#x3c; 0.0001)<break/>&#x2022; <italic>TPMT</italic>&#x2a;3B (rs1800460) and <italic>TPMT</italic>&#x2a;2 were not associated with AZA&#x2019;s adverse effects</td>
<td align="center">Bangladesh; 250 patients</td>
<td align="center">
<xref ref-type="bibr" rid="B66">Rashid et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="center">2</td>
<td align="center">
<italic>TPMT</italic>&#x2a;3C c.719A&#x3e;G (rs1142345)</td>
<td align="left">Hepatotoxicity (HR &#x3d; 3.85; 95% CI &#x3d; 1.83&#x2013;8.10; p &#x3d; 0.0004)</td>
<td align="center">Taiwan; 50 patients</td>
<td align="center">
<xref ref-type="bibr" rid="B72">Sheu et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="center">3</td>
<td align="center">
<italic>TPMT</italic>&#x2a;3 c.460G&#x3e;A (rs1800460); <italic>TPMT</italic>&#x2a;2 c.238G&#x3e;C (rs1800462); <italic>TPMT</italic>&#x2a;3 c.719A&#x3e;G (rs1142345)</td>
<td align="center">Anemia, leukopenia, and thrombocytopenia in<break/>&#x2022; <italic>TPMT</italic>&#x2a;3 c.460G&#x3e;A (p &#x3d; 0.173)<break/>&#x2022; <italic>TPMT</italic>&#x2a;2 c.238G&#x3e;C (p &#x3d; 0.032)<break/>&#x2022; <italic>TPMT</italic>&#x2a;3 c.719A&#x3e;G (p &#x3d; 0.153)</td>
<td align="center">Egypt; 150 patients</td>
<td align="center">
<xref ref-type="bibr" rid="B1">Abuelsoud et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">4</td>
<td rowspan="3" align="center">
<italic>NUDT15;</italic> Pharmaco-kinetics</td>
<td align="center">
<italic>NUDT15</italic> c.415C&#x3e;T (rs116855232) and <italic>TPMT</italic>&#x2a;3C c.719A&#x3e;G (rs1142345)</td>
<td rowspan="3" align="left">Reduced NUDT15 activity &#x2192; accumulation of active thiopurine metabolites, decreased degradation of thioguanine nucleotides &#x2192; increased DNA damage</td>
<td align="left">&#x2022; <italic>NUDT15</italic> c.415C&#x3e;T &#x2192; Leukopenia/neutropenia (OR &#x3d; 1.08; 95% CI &#x3d; 0.11&#x2013;10.65; p &#x3d; 0.95)<break/>&#x2022; <italic>TPMT</italic>&#x2a;3C c.719A&#x3e;G &#x2192; Leukopenia (OR &#x3d; 7.59; 95% CI &#x3d; 3.16&#x2013;18.21; p &#x3c; 0.0001)</td>
<td align="center">China; 87 patients</td>
<td align="center">
<xref ref-type="bibr" rid="B18">Fei et al. (2018a)</xref>
</td>
</tr>
<tr>
<td align="center">5</td>
<td align="center">
<italic>NUDT15</italic>&#x2a;3 c.415C&#x3e;T (rs116855232)</td>
<td align="left">Leukopenia (OR &#x3d; 35.63; 95% CI &#x3d; 22.47&#x2013;56.51; p &#x3c; 0.0001)</td>
<td align="center">Korea; 978 patients</td>
<td align="center">
<xref ref-type="bibr" rid="B91">Yang et al. (2014)</xref>
</td>
</tr>
<tr>
<td align="left"/>
<td align="center">
<italic>NUDT15</italic> c.415C&#x3e;T (rs116855232); <italic>NUDT15 55_56insGAGTCG</italic> (rs746071566); <italic>TPMT</italic>&#x2a;3C c.7196A&#x3e;G (rs1142345)</td>
<td align="left">Leukopenia<break/>&#x2022; <italic>NUDT15</italic> c.415C&#x3e;T (OR &#x3d; 21.7; 95% CI &#x3d; 12.1&#x2013;38.8; p &#x3c; 0.0001)<break/>&#x2022; <italic>NUDT15</italic> 55_56insGAGTCG (OR &#x3d; 7.1; 95% CI &#x3d; 3.7&#x2013;13.7; p &#x3c; 0.0001)<break/>&#x2022; <italic>TPMT</italic>&#x2a;3C c.7196A&#x3e;G (OR &#x3d; 0.40; 95% CI &#x3d; 0.0&#x2013;6.8; p &#x3d; 0.999)</td>
<td align="center">China; 40 patients</td>
<td align="center">
<xref ref-type="bibr" rid="B85">Wang et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="center">6</td>
<td rowspan="3" align="center">
<italic>ITPA;</italic> Pharmacokinetics</td>
<td align="center">
<italic>TPMT&#x2a;</italic>3A<italic>, TPMT&#x2a;</italic>3B<italic>, TPMT&#x2a;</italic>3C<italic>, TPMT&#x2a;</italic>2<italic>, ITPA</italic> c.94C&#x3e;A (rs1127354), <italic>ITPA</italic> c.124 &#x2b; 21A&#x3e;C (rs7270101)</td>
<td align="left">Potentially reduced ITPA enzyme expression &#x2192; accumulation of ITP/dITP in cells &#x2192; <bold>cellular damage</bold>, particularly in hematopoietic tissues</td>
<td align="left">&#x2022; <italic>TMPT</italic> genes polymorphisms: Myelosuppression (p &#x3c; 0.01)<break/>&#x2022; No association between ITPA polymorphisms and AZA-related adverse effects</td>
<td align="center">Lithuania; 551 patients</td>
<td align="center">
<xref ref-type="bibr" rid="B77">Steponaitiene et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="center">7</td>
<td rowspan="2" align="center">
<italic>ITPA</italic> c.94C&#x3e;A (rs1127354); <italic>TPMT</italic>&#x2a;3 (T&#x3e;C), and <italic>NUDT15</italic> c.415C&#x3e;T (rs116855232)</td>
<td rowspan="2" align="left">Reduced or absent ITPA activity &#x2192; accumulation of ITP/dITP in cells &#x2192; <bold>cellular damage</bold>, particularly in hematopoietic tissues</td>
<td rowspan="2" align="left">Myelosuppression<break/>&#x2022; <italic>ITPA</italic> c.94C&#x3e;A (OR &#x3d; 4.945; 95% CI &#x3d; 0.928&#x2013;26.358; p &#x3d; 0.061)<break/>&#x2022; <italic>TPMT</italic>&#x2a;3 (T&#x3e;C) (OR &#x3d; 0.00; 95% CI &#x3d; &#x2212;; p &#x3d; 1.000)<break/>&#x2022; <italic>NUDT15</italic> c.415C&#x3e;T (OR &#x3d; 51.818; 95% CI &#x3d; 5.280&#x2013;508.556; p &#x3d; 0.001)</td>
<td rowspan="2" align="center">China; 1,419 patients</td>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B11">Chen et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">8</td>
</tr>
<tr>
<td align="center">1</td>
<td rowspan="5" align="center">CYCLOPHOSPHAMIDE (CYC)</td>
<td align="center">
<italic>GST;</italic> Pharmacokinetics</td>
<td align="center">
<italic>GSTM1</italic> - (Null variant)<italic>, GSTT1</italic> - (Null variant), and <italic>GSTP1 c.</italic>313A&#x3e;G (rs1695)</td>
<td align="left">Reduced or complete absence enzyme activity &#x2192; reduced the CYC metabolites detoxification efficiency &#x2192; higher intercellular toxicity</td>
<td align="left">&#x2022; <italic>GSTM1</italic> - (Null variant): Nausea, rash, amenorrhea, diarrhea, neutropenia, infection (OR &#x3d; 3.345; 95% CI &#x3d; 1.064&#x2013;10.577; p &#x3d; 0.039)<break/>&#x2022; <italic>GSTP1</italic> c.313A&#x3e;G (rs1695): Independent factor of poor renal outcome (OR &#x3d; 5.011; 95% CI &#x3d; 1.025&#x2013;24.510; p &#x3d; 0.047)<break/>&#x2022; <italic>GSTT1</italic> - (Null variant): No association</td>
<td align="center">France; 70 patients</td>
<td align="center">
<xref ref-type="bibr" rid="B5">Audemard-Verger et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="center">2</td>
<td rowspan="2" align="center">
<italic>CYP;</italic> Pharmacokinetics</td>
<td align="center">
<italic>CYP2C19</italic>&#x2a;2 c.681G&#x3e;A (rs4244285)</td>
<td rowspan="2" align="left">Reduced enzyme activity &#x2192; altered CYC metabolism &#x2192; accumulation of toxic metabolites</td>
<td align="left">Ovarian toxicity</td>
<td align="center">India; 220 patients</td>
<td align="center">
<xref ref-type="bibr" rid="B42">Kumaraswami et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="center">3</td>
<td align="center">
<italic>CYP2B6</italic> &#x2212;750T&#x3e;C (rs4802101); <italic>CYP2C19</italic>&#x2a;2 c.681G&#x3e;A (rs4244285); <italic>GSTP1</italic> c.313A&#x3e;G (rs1695)</td>
<td align="left">&#x2022; <italic>CYP2B6</italic> -750T&#x3e;C &#x2192; GI toxicity (OR &#x3d; 0.238; 95% CI &#x3d; 0.107&#x2013;0.523; p &#x3c; 0.001); Leukocytopenia (OR &#x3d; 0.347; 95% CI &#x3d; 0.173&#x2013;0.699; p &#x3c; 0.001)<break/>&#x2022; <italic>CYP2C19</italic>&#x2a;2 c.681G&#x3e;A &#x2192; GI toxicity (OR &#x3d; 0.157; 95% CI &#x3d; 0.057&#x2013;0.430; p &#x3c; 0.001); Leukocytopenia (OR &#x3d; 0.194; 95% CI &#x3d; 0.092&#x2013;0.409; p &#x3c; 0.001); Infection (OR &#x3d; 0.260; 95% CI &#x3d; 0.119&#x2013;0.568; p &#x3c; 0.001)<break/>&#x2022; <italic>GSTP1</italic> c.313A&#x3e;G &#x2192; OR &#x3d; 1.791; 95% CI &#x3d; 0.835&#x2013;3.839; p &#x3e; 0.05); Leukocytopenia (OR &#x3d; 1.821; 95% CI &#x3d; 0.953&#x2013;3.482; p &#x3e; 0.05)</td>
<td align="center">China, 116 patients</td>
<td align="center">
<xref ref-type="bibr" rid="B74">Shu et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="center">4</td>
<td align="center">GSTP gene; Pharmacokinetics</td>
<td align="center">
<italic>GSTP1</italic> c.313A&#x3e;G (rs1695)</td>
<td align="left">lower catalytic efficiency &#x2192; impact CYC detoxification capacity</td>
<td align="left">Severe leukopenia (p &#x3c; 0.05)</td>
<td align="center">Indonesia; 91 patients</td>
<td align="center">
<xref ref-type="bibr" rid="B31">Hasni et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="center">5</td>
<td align="center">
<italic>ALDH;</italic> Pharmacokinetics</td>
<td align="center">
<italic>ALDH1A1</italic> c.1234A&#x3e;G (rs8187996)</td>
<td align="left">reduced ALDH1A1 enzyme activity &#x2192; affecting the detoxification process of cyclophosphamide metabolites</td>
<td align="left">a reduced risk of severe toxicity (OR &#x3d; 0.31; 95% CI &#x3d; 0.09&#x2013;0.78; p &#x3d; 0.028) &#x2192; contradictory findings</td>
<td align="center">Michigan; 510 patients</td>
<td align="center">
<xref ref-type="bibr" rid="B35">Hwang et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="center">6</td>
<td align="left"/>
<td align="left"/>
<td align="center">
<italic>ALDH3A1</italic>&#x2a;1/&#x2a;2 (rs2228100), <italic>ALDH3A1</italic>&#x2a;2/&#x2a;2 (rs2228100), ALDH1A1&#x2a;2 (rs8187996)</td>
<td align="left">
<italic>ALDH3A1</italic> variants impairs aldehyde clearance &#x2192; increasing the risk of hematologic and bladder toxicities <italic>ALDH1A1</italic> c.1234A&#x3e;G (<italic>rs8187996</italic>) variant &#x2192; reduced mRNA of <italic>ALDH1A1</italic> expression &#x2192; reduced enzyme expression &#x2192; higher risk of CYC toxicity</td>
<td align="left">&#x2022; <italic>ALDH3A1</italic>&#x2a;2 (rs2228100) &#x2192; Hemorrhagic cystitis (OR &#x3d; 11.95; 95% CI &#x3d; 1.18&#x2013;120.56; p &#x3d; 0.04); liver toxicity (OR &#x3d; 5.13; 95% CI &#x3d; 1.30&#x2013;20.30; p &#x3d; 0.02)<break/>&#x2022; <italic>ALDH3A1&#x2a;2/&#x2a;2</italic> (rs2228100) &#x2192; Haemorrhagic cystitis (OR &#x3d; 9.08; 95% CI &#x3d; 1.02&#x2013;80.58; p &#x3d; 0.05)<break/>&#x2022; <italic>ALDH1A1</italic>&#x2a;2 (rs8187996) &#x2192; Liver toxicity grade 3&#x2013;4 (OR &#x3d; 5.13; 95% CI &#x3d; 1.30&#x2013;20.30; p &#x3d; 0.02)</td>
<td align="center">Netherland; 113 patients</td>
<td align="center">
<xref ref-type="bibr" rid="B16">Ekhart et al. (2008)</xref>
</td>
</tr>
<tr>
<td align="center">1</td>
<td rowspan="2" align="center">MYCOPHENOLATE MOFETIL (MMF)</td>
<td align="center">
<italic>IMPDH;</italic> Pharmaco-dynamics</td>
<td align="center">
<italic>IMPDH1</italic> c.849T&#x3e;G (rs2288553); c.662G&#x3e;A (rs2288549); c.800G&#x3e;A (rs2278293); &#x2212;106G&#x3e;A (rs2278294); and c.1575G&#x3e;A (rs2228075)</td>
<td align="left">SNPs of IMPDH1 are located in non-coding regions &#x2192; alterations in gene expression, mRNA stability, or splicing efficiency &#x2192; may alter the cellular sensitivity to MMF&#x2019;s immunosuppressive action</td>
<td align="left">GI Intolerance (p &#x3d; 0.0005)</td>
<td align="center">59 patients</td>
<td align="center">
<xref ref-type="bibr" rid="B64">Ohmann et al. (2010)</xref>
</td>
</tr>
<tr>
<td align="center">2</td>
<td align="center">
<italic>SLCOB1;</italic> Pharmacokinetics<break/>UGT2B7; Pharmacokinetics</td>
<td align="center">
<italic>SLCO1B1</italic> c.521T&#x3e;C (rs4149056); <italic>IMPDH1</italic> &#x2212;106G&#x3e;A (rs2278294); <italic>UGT2B7</italic> c.802C&#x3e;T (rs7439366)</td>
<td align="left">
<italic>SLCO1B1</italic> c.521T&#x3e;C (rs4149056) &#x2192; reduced transporter activity, leading to decreased hepatic uptake of MMF and consequently higher plasma concentrations; <italic>UGT2B7</italic> c.802C&#x3e;T (rs7439366) &#x2192; alter UGT2B7 enzyme activity which is involved in the glucuronidation and elimination of MMF</td>
<td align="left">&#x2022; <italic>SLCO1B1</italic> c.521T&#x3e;C (rs4149056) &#x2192; Anemia (p &#x3d; 0.029)<break/>&#x2022; <italic>IMPDH1</italic> &#x2212;106G&#x3e;A (rs2278294) &#x2192; Infection (p &#x3d; 0.006)<break/>&#x2022; <italic>UGT2B7</italic> c.802C&#x3e;T (rs7439366) &#x2192; Pneumonia Infection (p &#x3d; 0.036)</td>
<td align="center">China; 120 patients</td>
<td align="center">
<xref ref-type="bibr" rid="B73">Shu et al. (2021)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec id="s3-1">
<title>3.1 Methotrexate</title>
<p>MTX is an antifolate antimetabolite commonly used in the treatment of RA, cancer, as well as SLE, and associated with a significant decrease in GCs dose used in adult patients. A systematic study showed that MTX appeared to offer significant benefits for individuals experiencing active arthritis or cutaneous symptoms in SLE (<xref ref-type="bibr" rid="B69">Sakthiswary and Suresh, 2014</xref>). The entry of MTX into the cell is facilitated by human reduced folate carriers (hFRC), a major importer of folates, known as SLC19A1. Following cellular uptake, MTX passes through polyglutamation by folylpolyglutamate synthase, leading to the retention in the cell. The mechanism of action includes folate metabolism, specifically inhibition of dihydrofolate reductase (DHFR), an enzyme essential in converting dihydrofolate to tetrahydrofolate (THF) active form. THF is indispensable for various cellular processes, including the synthesis of DNA and RNA nucleotides. MTX disrupts these processes by impeding DHFR, causing intracellular depletion of THF, particularly in rapidly dividing cells. Beyond DHFR inhibition, MTX and the polyglutamate forms impede <italic>de novo</italic> purine synthesis and thymidylate synthase, intensifying the cytotoxic effects that affect cell proliferation and growth (<xref ref-type="bibr" rid="B52">Mohamed et al., 2019</xref>).</p>
<p>Despite the efficacy of MTX, related toxicity has been reported in several studies, including liver toxicity (increase of liver function, risk of liver failure), kidney toxicity (renal impairment, renal failure), hematological toxicity (pancytopenia, myelosuppression, leukopenia, neutropenia, megaloblastic anemia), pulmonary toxicity (wheezing, asthma), dermatological toxicity (skin lesion), and gastrointestinal (GI) effects (diarrhea, nausea, vomiting, <italic>etc.</italic>) (<xref ref-type="bibr" rid="B30">Hamed et al., 2022</xref>). The most common major toxicity of low-dose MTX was pancytopenia, followed by oral mucositis, hypoalbuminemia, acute renal failure, and pneumonitis, while minor toxicity included diarrhea, abdominal pain, and fever (<xref ref-type="bibr" rid="B41">Kivity et al., 2014</xref>). The duration of MTX use may affect the severity of the toxicity manifestation. Skin lesions and mucosal ulcers were reported in patients with less than 7 days of consumption, while more severe toxicity such as leukopenia, thrombocytopenia, and anemia were more common in those exposed to more than 7 days of consumption (<xref ref-type="bibr" rid="B3">Ahmadzadeh et al., 2019</xref>). Gene polymorphisms are suggested to affect the incidence of MTX-related toxicity, as several studies show that <italic>MTHFR</italic> c.667C&#x3e;T, <italic>MTHFR</italic> c.1298A&#x3e;C, and <italic>ATIC</italic> c.347C&#x3e;G are the most common genes responsible for MTX toxicity, in both the treatment of SLE and other diseases including RA. <xref ref-type="fig" rid="F1">Figure 1</xref> presents effects of these gene polymorphisms on MTX-related toxicity.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Mechanism of gene polymorphisms affecting MTX-related toxicity. Abbreviations: MTX, methotrexate; AO, aldehyde oxidase; 7-OH-MTX, 7-hydroxy methotrexate; ATIC, 5-aminoimidazole-4-carboxamide ribonucleotide formyltransferase/IMP cyclohydrolase; AICAR, aminoimidazole carboxamide ribonucleotide transformylase/IMP cyclohydrolase; MTHFR, methylenetetrahydrofolate reductase; 5,10-methylene THF, 5,10-methylenetetrahydrofolate; 5-THF, 5-methyltetrahydrofolate; MTXPGs, methotrexate polyglutamates; FAICAR, formyl-AICAR.</p>
</caption>
<graphic xlink:href="fgene-16-1594648-g001.tif"/>
</fig>
<sec id="s3-1-1">
<title>3.1.1 MTHFR polymorphisms</title>
<p>The <italic>MTHFR</italic> (Methylenetetrahydrofolate reductase) gene encodes a 77-kDa MTHFR enzyme which participates in folate metabolism, specifically in the conversion of 5,10-methylenetetrahydrofolate to 5-methyltetrahydrofolate (5-MTHF), and this process is crucial for the synthesis of nucleotides and DNA. Several studies, including meta-analyses, have reported an association between the two most common SNPs of the <italic>MTHFR</italic> gene, namely c.667C&#x3e;T (rs1801133) and c.1298A&#x3e;C (rs1801131), with MTX toxicity (<xref ref-type="bibr" rid="B76">Song et al., 2014</xref>; <xref ref-type="bibr" rid="B15">Dwivedi et al., 2020</xref>; <xref ref-type="bibr" rid="B90">Yang et al., 2023</xref>; <xref ref-type="bibr" rid="B48">Martusevich et al., 2020</xref>; <xref ref-type="bibr" rid="B84">Von Feldt et al., 2006</xref>; <xref ref-type="bibr" rid="B39">Juster-switlyk et al., 2017</xref>; <xref ref-type="bibr" rid="B94">Zhao et al., 2016</xref>; <xref ref-type="bibr" rid="B8">Campbell et al., 2016</xref>). In c.667C&#x3e;T polymorphism, alanine is substituted with valine due to a change from C to T at nucleotide 677 (<xref ref-type="bibr" rid="B68">Rosenberg et al., 2002</xref>). Meanwhile, in c.1298A&#x3e;C polymorphism, A is replaced with C at position 1,298, leading to the substitution of alanine to glutamine (<xref ref-type="bibr" rid="B71">Sharaki et al., 2018</xref>). Both SNPs lead to the lower enzymatic activity of MTHFR, affecting MTX pharmacodynamics (<xref ref-type="bibr" rid="B83">Van Der Put et al., 1998</xref>). Consequently, there is a decrease in the production of 5-MTHF, which serves as a methyl donor in the re-methylation of homocysteine to methionine (<xref ref-type="fig" rid="F1">Figure 1</xref>). This leads to homocysteine accumulation in the blood, a condition known as hyperhomocysteinemia. Elevated homocysteine levels have been associated with increased toxicity of MTX and elevated cardiovascular risks, such as coronary artery calcification, high blood pressure, and many more (<xref ref-type="bibr" rid="B84">Von Feldt et al., 2006</xref>; <xref ref-type="bibr" rid="B20">Gande et al., 2023</xref>). The exact mechanism underlying MTX toxicity caused by lower MTHFR enzymatic activity remains unclear and requires further investigation.</p>
</sec>
<sec id="s3-1-2">
<title>3.1.2 ATIC polymorphism</title>
<p>
<italic>ATIC</italic> gene is located at chromosome 2q35 and encodes aminoimidazole carboxamide adenosine ribonucleotide transformylase (ATIC) that participates in the <italic>de novo</italic> purine synthesis and transforms aminoimidazole carboxamide adenosine ribonucleotide (AICAR) into formyl- AICAR. MTX mechanisms of action includes inhibiting ATIC after entering the cells, causing AICAR intracellular accumulation (<xref ref-type="fig" rid="F1">Figure 1</xref>). This leads to the release of adenine into extracellular which inhibits the functions of several immune cells, such as monocytes, T-lymphocytes, and NK cells, initiating anti-inflammatory activities (<xref ref-type="bibr" rid="B45">Lee and Bae, 2016</xref>). The most commonly explored <italic>ATIC</italic> polymorphism is <italic>ATIC</italic> c.347C&#x3e;G, with the C to G variation prompting the change of threonine to serine at position 116 of gene. Several studies showed that patients with the <italic>ATIC</italic> c.347G allele had a higher risk of MTX-related toxicity, specifically GI toxicity (<xref ref-type="bibr" rid="B57">Muralidharan et al., 2016</xref>; <xref ref-type="bibr" rid="B23">Grabar et al., 2010</xref>; <xref ref-type="bibr" rid="B34">Huang et al., 2020</xref>; <xref ref-type="bibr" rid="B47">Londono et al., 2020</xref>). Other studies on the same polymorphism did not report a relationship between gene and toxicity, but associated <italic>ATIC</italic> c.347C&#x3e;G with the efficacy or non-responsiveness of MTX (<xref ref-type="bibr" rid="B45">Lee and Bae, 2016</xref>; <xref ref-type="bibr" rid="B70">Sha et al., 2022</xref>). A meta-analysis consisting of nine comparative studies showed that <italic>ATIC</italic> c.347C&#x3e;G polymorphism might be associated with MTX toxicity in Caucasians, compared to Asian patients. This scientific finding remains uncertain and tends to be associated with a higher frequency of the allele in Caucasians (<xref ref-type="bibr" rid="B45">Lee and Bae, 2016</xref>).</p>
</sec>
</sec>
<sec id="s3-2">
<title>3.2 Azathioprine</title>
<p>AZA is an immunosuppressant used in managing SLE as second-line treatment. In the liver, AZA is initially converted to 6-mercaptopurine (6-MP) and then passes through three metabolism pathways. In the first pathway, 6-MP can be metabolized into 6-methylmercaptopurine (6-MMP) by thiopurine methyltransferase (TPMT). In the second pathway, 6-MP is oxidized by Xanthine Oxidase (XO) into 6-Thiouric Acid (6-TUA) which is an inactive metabolite. In the third pathway, metabolic processes of mercaptopurine nucleotide lead to the production of Thio inosine 5&#x2032;-monophosphate (TIMP) by hypoxanthine phosphoribosyl transferase (HPRT). TIMP is converted by nudix hydrolase 15 (NUDT15) into thioguanine nucleotides (TGNs), including thioguanosine monophosphate (TGMP), thioguanosine diphosphate (TGDP), and thioguanosine triphosphate (TGTP). TGNs are the active metabolites of 6-MP which produce cytotoxic activity, specifically by inducing apoptosis in active T-cells. TGDP is converted to Thio deoxyguanosine triphosphate (TdGTP), which is subsequently incorporated into DNA. This process involves Thio deoxyguanosine diphosphate (TdGDP) as a metabolic intermediate. TGTP integrates into RNA disrupting the normal functions of these nucleic acids and leading to cell death (<xref ref-type="bibr" rid="B52">Mohamed et al., 2019</xref>; <xref ref-type="bibr" rid="B19">Fraenkel et al., 2021</xref>; <xref ref-type="bibr" rid="B63">Oglesby et al., 2013</xref>).</p>
<p>TIMP passes through alternative metabolic pathways and is transformed into 6-thio inosine 5&#x2032;-triphosphate (6-TITP), a toxic metabolite. An enzyme called inosine triphosphate pyrophosphatase (ITPA) converts TITP into TIMP to restrict the accumulation. Another pathway is TIMP conversion into methyl thio inosine 5&#x2032;-monophosphate (Me-TIMP) by TMPT. Me-TIMP has a role to impede the <italic>de novo</italic> synthesis of purine nucleotides, further compromising cellular processes crucial for T cell survival. Additionally, it inhibits Ras-related C3 botulinum toxin substrate, a protein essential in cell signaling pathways (<xref ref-type="bibr" rid="B88">Wright et al., 2004</xref>).</p>
<p>The use of AZA for SLE treatment is limited due to the drug-related toxicity reported, such as myelosuppression, leukopenia, pancreatic toxicity, and many more (<xref ref-type="bibr" rid="B66">Rashid et al., 2020</xref>; <xref ref-type="bibr" rid="B46">Liu et al., 2015</xref>; <xref ref-type="bibr" rid="B17">Fei et al., 2018b</xref>). The association between AZA toxicity and several SNPs has been investigated. The most common SNPs studied are <italic>TPMT</italic> gene polymorphisms [<italic>TPMT</italic>&#x2a;2 G238C (rs1800462), <italic>TPMT</italic>&#x2a;3B (rs1800460), and <italic>TPMT</italic>&#x2a;3C (rs1142345)], <italic>NUDT15</italic> R139C, <italic>ITPA</italic> c.94C&#x3e;A, and <italic>ABCC4</italic> c.2269G&#x3e;A. <xref ref-type="fig" rid="F2">Figure 2</xref> shows effects of these gene polymorphisms on AZA-related toxicity.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Mechanism of gene polymorphisms affecting AZA-related toxicity. Abbreviations: AZA, azathioprine; 6-MP, 6-mercaptopurine; 6-MMP, 6-methylmercaptopurine; 6-TIMP, 6-thioinosine 5&#x27;-monophosphate; 6-TITP, 6-thioinosine 5&#x27;-triphosphate; Me-TIMP, methyl-thioinosine 5&#x27;-monophosphate; 6-TGMP, 6-thioguanosine monophosphate; 6-TGDP, 6-thioguanosine diphosphate; 6-TGTP, 6-thioguanosine triphosphate; TGN, thioguanine nucleotides; TPMT, thiopurine S-methyltransferase; ITPA, inosine triphosphate pyrophosphatase; NUDT15, nudix hydrolase 15; MRP4, multidrug resistance-associated protein 4.</p>
</caption>
<graphic xlink:href="fgene-16-1594648-g002.tif"/>
</fig>
<sec id="s3-2-1">
<title>3.2.1 TPMT polymorphisms</title>
<p>
<italic>TPMT</italic> gene is responsible for encoding thiopurine S-methyltransferase (TPMT), an enzyme that contributes to thiopurine drugs metabolism in cells. TPMT catalyzes the S-methylation of thiopurine including AZA into inactive and non-toxic forms. There are several alleles of the <italic>TPMT</italic> gene (<italic>TPMT&#x2a;2 to TPMT&#x2a;20</italic>) which affect TMPT activity, but the most frequently studied polymorphisms associated with AZA toxicity are <italic>TPMT</italic>&#x2a;2 c.238G&#x3e;C (rs1800462), <italic>TPMT</italic>&#x2a;3B c.460G&#x3e;A (rs1800460), and <italic>TPMT</italic>&#x2a;3C c.719A&#x3e;G (rs1142345). <italic>TPMT</italic>&#x2a;2, <italic>TPMT</italic>&#x2a;3B, and <italic>TPMT</italic>&#x2a;3C are more common in Caucasians and Africans, while <italic>TPMT</italic>&#x2a;3C is the most frequent in the Asian population (<xref ref-type="bibr" rid="B27">Gu et al., 2023</xref>). <italic>TPMT</italic>&#x2a;2 c.238G&#x003e;C were reported to prompt the substitution of alanine to proline. <italic>TPMT</italic>&#x2a;3B c.460G&#x3e;A and <italic>TPMT</italic>&#x2a;3C c.719A&#x3e;G are responsible for the deficiency or the loss of TPMT activity leading to AZA-related toxicity because of a decrease in the drug metabolism (<xref ref-type="fig" rid="F2">Figure 2</xref>) (<xref ref-type="bibr" rid="B77">Steponaitiene et al., 2016</xref>). The reduction of AZA metabolism causes excessive accumulation of cytotoxic compounds, TGNs, inducing severe toxicity such as bone marrow toxicity and GI manifestations (<xref ref-type="bibr" rid="B58">Murugesan et al., 2009</xref>).</p>
<p>The data reported for the association of <italic>TMPT</italic> alleles and AZA-induced hepatotoxicity were conflicting. A meta-analysis showed that <italic>TPMT</italic> variations were not associated with hepatotoxic (<xref ref-type="bibr" rid="B46">Liu et al., 2015</xref>). Other studies found a higher risk of hepatotoxicity due to these polymorphisms, hence individualized AZA dosing could minimize the risk (<xref ref-type="bibr" rid="B72">Sheu et al., 2022</xref>). There was no correlation between the <italic>TPMT</italic> genotype and leukopenia incidence (p &#x3d; 0.95) in Chinese autoimmune patients (<xref ref-type="bibr" rid="B18">Fei et al., 2018a</xref>). In the case of myelotoxicity, the data reported were conflicting because the rate of myelosuppression was significantly higher in Chinese patients with <italic>TPMT</italic>&#x2a;2 than <italic>TPMT</italic>&#x2a;3B and <italic>TPMT</italic>&#x2a;3C polymorphisms, which could lead to clinical failure of AZA treatment (<xref ref-type="bibr" rid="B18">Fei et al., 2018a</xref>). Significant relationship was not observed between myelotoxicity and the <italic>TPMT</italic> polymorphisms (p &#x3d; 0.973) in 70 Chinese patients receiving AZA (<xref ref-type="bibr" rid="B79">Su et al., 2020</xref>). Therefore, the presence of TPMT polymorphisms alone may not serve as a universally reliable predictor for AZA-induced myelotoxicity, particularly in certain populations such as East Asians, where additional genetic variants (e.g., <italic>NUDT15</italic>) have shown greater clinical relevance.</p>
</sec>
<sec id="s3-2-2">
<title>3.2.2 NUDT15 polymorphism</title>
<p>
<italic>NUDT15</italic> gene encodes NUDT15 enzymes, which function to dephosphorylate thiopurine triphosphate to monophosphate. This is included among the metabolism pathways of thiopurine drugs, such as AZA. The most common alleles studied and found to have an association with AZA-related toxicity consisted of <italic>NUDT15</italic>&#x2a;3. This variant c.415C&#x3e;T (rs116855232) causes the change of arginine to cysteine at position 139 and leads to function loss of NUDT15 enzyme due to a decrease in the thermal stability (<xref ref-type="bibr" rid="B91">Yang et al., 2014</xref>). The loss of NUDT15 function induces the excessive amount of thiopurine triphosphate and increases the number of TGNs incorporated into DNA and RNA, leading to severe AZA-related cytotoxicity. Among all polymorphisms related to AZA toxicity, <italic>NUDT15</italic>&#x2a;3 was reported to have the strongest association with myelosuppression and leukopenia in patients, specifically Asians (<xref ref-type="bibr" rid="B76">Song et al., 2014</xref>; <xref ref-type="bibr" rid="B48">Martusevich et al., 2020</xref>; <xref ref-type="bibr" rid="B85">Wang et al., 2022</xref>). This is due to the frequency of the allele being higher in Asians population than in Caucasians (<xref ref-type="bibr" rid="B81">Tanaka and Saito, 2021</xref>). The genetic screening of <italic>NUDT15</italic>&#x2a;3 gene has been implemented for personalizing AZA doses to decrease the risk of AZA-induced leukopenia in China (<xref ref-type="bibr" rid="B85">Wang et al., 2022</xref>).</p>
</sec>
<sec id="s3-2-3">
<title>3.2.3 ITPA polymorphism</title>
<p>
<italic>ITPA</italic> gene encodes ITPA which contributes to thiopurine metabolism, such as NUDT15 and TPMT enzymes. This has a role in preventing toxicity by restricting the accumulation of toxic thiopurine metabolites, 6-thioinosine-5-triphosphate, through conversion to TIMP (<xref ref-type="bibr" rid="B59">Nagamine et al., 2012</xref>). Gene variant of interest is <italic>ITPA</italic> c.94C&#x3e;A (rs1127354), a missense mutation reported to be responsible for the decrease or even the loss of ITPA enzymatic activity (<xref ref-type="bibr" rid="B9">Cao and Hegele, 2002</xref>; <xref ref-type="bibr" rid="B80">Sumi et al., 2002</xref>). This impairs AZA metabolism process, leading to toxicity in patients with SLE and other diseases requiring AZA treatment (<xref ref-type="bibr" rid="B59">Nagamine et al., 2012</xref>). Compared to <italic>TPMT</italic> variants and <italic>NUDT</italic>15, <italic>ITPA</italic> c.94C&#x3e;A was not associated with myelosuppression and hepatotoxicity (<xref ref-type="bibr" rid="B77">Steponaitiene et al., 2012</xref>; <xref ref-type="bibr" rid="B52">Chen et al., 2019</xref>), but influenza-like symptoms, digestive intolerance, pancreatitis, and arthralgia (<xref ref-type="bibr" rid="B59">Nagamine et al., 2012</xref>; <xref ref-type="bibr" rid="B11">Chen et al., 2021</xref>). The exact reason and mechanism of the phenomena remain inconclusive.</p>
</sec>
<sec id="s3-2-4">
<title>3.2.4 ABCC4 polymorphism</title>
<p>
<italic>ABCC4</italic> gene is responsible for encoding MRP4, an ATP-binding cassette transporter that functions as a transmembrane efflux pump to transfer 6-TGN out of the cell. <italic>ABCC4</italic> c.2269G&#x3e;A (rs3765534) variant is suspected to be related to the side effects of leukopenia in patients given thiopurine because of 6-TGN accumulation (<xref ref-type="bibr" rid="B76">Song et al., 2014</xref>; <xref ref-type="bibr" rid="B48">Martusevich et al., 2020</xref>). <italic>MRP4/ABCC4</italic> c.2269G&#x3e;A (rs3765534) decreases MRP4 function, might be responsible for myelosuppression (<xref ref-type="bibr" rid="B51">Milosevic et al., 2018</xref>), and is rarely found in the Caucasian race. However, the allele has been found at a higher frequency among the Asian population, including 14.7%&#x2013;23% in the Japanese and 8.3% in the Han Chinese (<xref ref-type="bibr" rid="B39">Juster-switlyk et al., 2017</xref>; <xref ref-type="bibr" rid="B94">Zhao et al., 2016</xref>; <xref ref-type="bibr" rid="B8">Campbell et al., 2016</xref>).</p>
</sec>
</sec>
<sec id="s3-3">
<title>3.3 Cyclophosphamide</title>
<p>CYC is a well-established alkylating agent widely used in the treatment of severe manifestations of SLE, particularly lupus nephritis (LN) (<xref ref-type="bibr" rid="B93">Zhang et al., 2014</xref>). Its efficacy lies in its potent immunosuppressive activity, which involves the inhibition of DNA replication and induction of cell death in rapidly proliferating immune cells. CYC is a prodrug that undergoes hepatic conversion to its active metabolite, 4-hydroxycyclophosphamide (4-OH-CPA), primarily facilitated by cytochrome P450 (CYP) enzymes, including CYP2B6, CYP2C9, and CYP3A4, with additional contributions from CYP2A6, CYP2C8, and CYP2C19 (<xref ref-type="bibr" rid="B43">Lamba et al., 2014</xref>). 4-OH-CPA is the major circulating metabolite and is in equilibrium with aldophosphamide, which subsequently breaks down into phosphoramide mustard, the active cytotoxic compound, and acrolein, a toxic byproduct responsible for bladder toxicity. While CYP enzymes are responsible for activation, enzymes such as glutathione S-transferase (GST) contribute to the detoxification of reactive metabolites, particularly acrolein (<xref ref-type="bibr" rid="B4">Alnasser, 2025</xref>). The active alkylating component, phosphoramide mustard, forms alkyl adducts with DNA through a phosphoramide aziridinium intermediate, while DNA alkylation induces a damage leading to cell death (<xref ref-type="bibr" rid="B39">Juster-switlyk et al., 2017</xref>). However, the use of CYC is frequently limited by its substantial adverse drug reactions. Well-documented CYC-related adverse effects include myelosuppression, urotoxicity (e.g., hemorrhagic cystitis), gonadotoxicity (e.g., ovarian failure and infertility), hepatotoxicity, and secondary malignancies (<xref ref-type="bibr" rid="B54">Mok, 2016</xref>; <xref ref-type="bibr" rid="B55">Mok et al., 1998</xref>). The occurrence and severity of CYC-related adverse effects can vary markedly among individuals, even with similar dosing regimens. It is increasingly recognized to be influenced by genetic differences, particularly single nucleotide polymorphisms (SNPs) in genes encoding CYC-metabolizing enzymes, transporters, and detoxification proteins. Genetic polymorphisms can affect the formation and clearance of both therapeutic and toxic CYC metabolites, ultimately altering CYC&#x2019;s safety and efficacy profile. Polymorphisms in <italic>GST</italic> (e.g., <italic>GSTM1</italic> and <italic>GSTP1</italic>), <italic>CYPs</italic>, and aldehyde dehydrogenase (<italic>ALDH</italic>) genes have been associated with altered metabolism and increased risk of CYC-induced adverse effects in SLE patients (Illustrated in <xref ref-type="fig" rid="F3">Figure 3</xref>) (<xref ref-type="bibr" rid="B5">Audemard-Verger et al., 2016</xref>; <xref ref-type="bibr" rid="B37">Indrawijaya et al., 2023</xref>; <xref ref-type="bibr" rid="B29">Hajdin&#xe1;k et al., 2020</xref>; <xref ref-type="bibr" rid="B36">Indrawijaya et al., 2024</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Mechanism of gene polymorphisms affecting CYC-related toxicity. Abbreviations: CYC, cyclophosphamide; CYP, cytochrome P450; 4-OH-CPA, 4-hydroxycyclophosphamide; ALDH, aldehyde dehydrogenase; GST, glutathione S-transferase.</p>
</caption>
<graphic xlink:href="fgene-16-1594648-g003.tif"/>
</fig>
<sec id="s3-3-1">
<title>3.3.1 GST polymorphisms</title>
<p>
<italic>GST</italic> genes encode glutathione S-transferase (GST), an important enzyme involved in the detoxification of cyclophosphamide metabolites. GST catalyzes the conjugation of reactive metabolites, such as phosphoramide mustard, into less toxic compounds like 4-glutathionyl-cyclophosphamide (<xref ref-type="bibr" rid="B14">Dirven et al., 1994</xref>). A reduction or loss of GST activity can lead to the accumulation and prolonged exposure to these toxic metabolites, thereby increasing the risk of adverse effects and CYC-related toxicity (<xref ref-type="bibr" rid="B29">Hajdin&#xe1;k et al., 2020</xref>; <xref ref-type="bibr" rid="B13">Conklin et al., 2015</xref>). The well-known <italic>GST</italic> genes variants associated with occurrence of adverse effects-related to CYC are <italic>GSTM1</italic>, <italic>GSTP1</italic> and <italic>GSTT1</italic> (<xref ref-type="bibr" rid="B5">Audemard-Verger et al., 2016</xref>; <xref ref-type="bibr" rid="B28">Hahn et al., 2010</xref>). <italic>GSTA1</italic> is not included in this discussion, as its polymorphisms have been reported to influence the efficacy of CYC treatment rather than its toxicity or adverse effects (<xref ref-type="bibr" rid="B36">Indrawijaya et al., 2024</xref>; <xref ref-type="bibr" rid="B86">Wang et al., 2015</xref>).</p>
<p>
<italic>GSTM1</italic> gene encodes Glutathione S-transferase Mu 1 (GSTM1), a key phase II detoxification enzyme that catalyzes the conjugation of glutathione to electrophilic compounds, including toxic metabolites of cyclophosphamide such as acrolein and phosphoramide mustard (<xref ref-type="bibr" rid="B96">NCBI, 2025a</xref>) <italic>GSTM1</italic> null genotype is the common polymorphism in <italic>GSTM1</italic>. Individuals with this genotype do not produce functional GSTM1, leading to impaired detoxification capacity and accumulation of acrolein and phosphoramide mustards. There is a strong evidence that the <italic>GSTM1 null</italic> genotype increases the risk of adverse effects from cyclophosphamide, regardless of other patient characteristics (age, gender, kidney function, and total CYC dose), with the odds ratio was 3.345, compared to those with functioning <italic>GSTM1 gene</italic> (<xref ref-type="bibr" rid="B5">Audemard-Verger et al., 2016</xref>). While some studies have reported a significant association between the <italic>GSTM1</italic> null genotype and increased CYC-related adverse effects, particularly when adjusted for clinical variables, others have found no relationship in the context of short-term high-dose regimens (<xref ref-type="bibr" rid="B95">Zhong et al., 2006</xref>). These discrepancies may reflect differences in study design, treatment protocol, population genetics, or definitions of toxicity.</p>
<p>
<italic>GSTP1</italic> gene encodes glutathione S-transferase Pi 1, an enzyme involved in the phase II detoxification of reactive drug metabolites, including those generated during cyclophosphamide (CYC) metabolism. GSTP1 catalyzes the conjugation of electrophilic CYC byproducts with glutathione, facilitating their elimination (<xref ref-type="bibr" rid="B97">NCBI, 2025b</xref>; <xref ref-type="bibr" rid="B32">Hayes et al., 2005</xref>). A commonly studied variant of this gene is Ile105Val polymorphism (rs1695), which involves a single nucleotide change from A to G, resulting in the substitution of isoleucine (Ile) with valine (Val) at codon 105 of the enzyme (<xref ref-type="bibr" rid="B31">Hasni et al., 2016</xref>). This amino acid change alters the structure and function of GSTP1, potentially reducing its catalytic efficiency (<xref ref-type="bibr" rid="B22">Gorukmez et al., 2016</xref>). As GSTP1 is only active in its dimer form, both heterozygous and homozygous variant causes reduction in GTSP1 activity, causing an increase of acrolein and phosphoramide mustard concentration. Although increased levels of phosphoramide mustard are associated with improved cyclophosphamide efficacy in cancer patients, in SLE patients this increase has been linked to a higher incidence of myelotoxicity, particularly at higher cyclophosphamide doses. In contrast, gastrointestinal (GI) toxicity tends to be more frequent at lower doses of cyclophosphamide in SLE, likely due to its non-linear pharmacokinetic profile, which results in greater biliary excretion of toxic metabolites following low-dose administration compared to high-dose administration (<xref ref-type="bibr" rid="B95">Zhong et al., 2006</xref>).</p>
<p>
<italic>GSTT1</italic> gene encodes for the enzyme glutathione S-transferase theta 1, which also plays a role in the detoxification of toxic metabolites of CYC. A common polymorphism involves a homozygous deletion of the <italic>GSTT1</italic> gene, referred to as the <italic>GSTT1</italic> null genotype, resulting in the absence of functional enzyme activity. While the <italic>GSTT1</italic> null genotype has been associated with increased chemotherapy-related toxicities in oncology settings (<xref ref-type="bibr" rid="B12">Cho et al., 2010</xref>; <xref ref-type="bibr" rid="B87">Wang et al., 2016</xref>; <xref ref-type="bibr" rid="B2">Aguiar et al., 2012</xref>), this variant does not appear to significantly affect the risk of cyclophosphamide-related adverse effects&#x2014;such as myelosuppression and gastrointestinal toxicity&#x2014;in SLE patients (<xref ref-type="bibr" rid="B95">Zhong et al., 2006</xref>). This may be due to higher, more frequent doses of CYC, and different patient characteristics in cancer patients compared to SLE patients.</p>
</sec>
<sec id="s3-3-2">
<title>3.3.2 CYP polymorphisms</title>
<p>
<italic>CYP</italic> genes are responsible for encoding a family of Cytochrome P450 enzymes which activate CYC to the active metabolite, 4-OH-CPA. It is generated mainly by CYP2B6, CYP3A4, and CYP2C9, with additional contributions from CYP2C19, CYP2A6, and CYP2C8. Genetic polymorphisms in these enzymes can significantly influence CYC&#x2019;s pharmacokinetics, leading to interindividual differences in efficacy and toxicity. Excessive amounts or prolonged duration of active metabolites exposure to body cells may be associated with CYC-related adverse effects, such as ovarian toxicity. Among these enzymes, the most studied polymorphism variants are <italic>CYP2B6,</italic> which has been studied in relation to CYC metabolism and toxicity. Three notable variants of <italic>CYP2B6</italic> include c.516G&#x3e;T (rs3745274), c.785A&#x3e;G (rs2279343), and &#x2212;750T&#x3e;C (rs4802101). The c.516G&#x3e;T variant, which defines the <italic>CYP2B6</italic>&#x2a;<italic>6</italic>, results in the substitution of glutamine with histidine at codon 172 (Q172H), leading to reduced enzyme expression and enzyme (<xref ref-type="bibr" rid="B1">Abuelsoud et al., 2021</xref>). The c.785A&#x3e;G (rs2279343) variant causes a lysine-to-arginine substitution at position 262 (K262R) and often co-occurs with c.516G&#x3e;T as part of the <italic>CYP2B6</italic>&#x2a;6, further contributing to impaired metabolic activity (<xref ref-type="bibr" rid="B82">Tran et al., 2008</xref>). This may reduce the formation of active metabolites, potentially lowering toxicity but also decreasing efficacy. Meanwhile, the &#x2212;750T&#x3e;C (rs4802101) variant is located in the promoter region, which may influence gene expression levels, though its clinical impact remains inconclusive (<xref ref-type="bibr" rid="B92">Zanger and Klein, 2013</xref>). For instance, a study involving 116 Chinese patients, individuals carrying the C allele had a significantly lower incidence of gastrointestinal toxicity and leukocytopenia compared to those with the wild-type TT genotype (<xref ref-type="bibr" rid="B74">Shu et al., 2016</xref>). However, other studies have reported that there was no association between <italic>CYP</italic>2<italic>B6</italic> polymorphisms and reduced CYC-related adverse effects (<xref ref-type="bibr" rid="B42">Kumaraswami et al., 2017</xref>; <xref ref-type="bibr" rid="B75">Singh et al., 2007</xref>).</p>
<p>CYP3A4 is another major to CYC metabolism. One notable polymorphism of <italic>CYP3A4</italic> is <italic>CYP3A4&#x2a;1B</italic>, characterized by an A&#x3e;G transition in the 5&#x2032;-flanking region of the gene. This variant has been associated with altered gene expression and enzymatic activity (<xref ref-type="bibr" rid="B78">Su et al., 2010</xref>). While there is still no study investigating the functional impact of this variant on CYC-related adverse effects in SLE patients, a study on cancer patients found no significant association between <italic>CYP3A4&#x2a;1B</italic> and the pharmacokinetics of CYC or its active metabolite, 4-OH-CPA (<xref ref-type="bibr" rid="B16">Ekhart et al., 2008</xref>). CYP2C9 also plays a role in cyclophosphamide (CYC) metabolism, but contributes only minimally to its activation into 4-hydroxycyclophosphamide (4-OH-CPA) (<xref ref-type="bibr" rid="B24">Griskevicius et al., 2003</xref>).</p>
<p>CYP2C19, CYP2A6, and CYP2C8 play ancillary roles in CYC metabolism (<xref ref-type="bibr" rid="B56">Mu&#xf1;iz et al., 2022</xref>). Among these, the <italic>CYP2C19&#x2a;2</italic> is one of the most extensively studied variants due to its high frequency in many populations, especially in Asian population, and its association with reduced enzymatic activity (<xref ref-type="bibr" rid="B5">Audemard-Verger et al., 2016</xref>). The <italic>CYP2C19</italic>&#x2a;2 c.681G&#x3e;A (rs4244285) in exon 5 is responsible for a decrease in CYP enzyme activity. There are conflicting data regarding whether <italic>CYP2C19</italic> is associated with a higher risk of CYC toxicity. Several studies stated that the presence of this allele is related to ovarian toxicity and the risk of CYC treatment failure (<xref ref-type="bibr" rid="B42">Kumaraswami et al., 2017</xref>; <xref ref-type="bibr" rid="B44">Lee et al., 2016</xref>; <xref ref-type="bibr" rid="B62">Ngamjanyaporn et al., 2011</xref>). However, a study associated <italic>CYP2C19</italic>&#x2a;2 presence with a lower risk of toxicity, specifically ovarian toxicity in Indian patients (<xref ref-type="bibr" rid="B75">Singh et al., 2007</xref>). Another study reported that C<italic>YP2C19</italic>&#x2a;2 had no association with CYC-related toxicity (<xref ref-type="bibr" rid="B5">Audemard-Verger et al., 2016</xref>). Further investigation is required to understand more about the reason for these results. Additionally, studies on genetic polymorphisms of <italic>CYP2A6</italic> and <italic>CYP2C8</italic> in the context of CYC metabolism are limited, particularly in patients with systemic lupus erythematosus (SLE). Thus, their clinical relevance in modulating CYC efficacy or toxicity remains unclear and warrants further investigation.</p>
</sec>
<sec id="s3-3-3">
<title>3.3.3 ALDH polymorphisms</title>
<p>
<italic>ALDH</italic> encodes Aldehyde Dehydrogenase (ALDH), an enzyme that contributes to CYC metabolism and detoxification, such as GST. ALDH converts aldophosphamide to a non-toxic metabolite, carbophosphamide. The presence of two variants (<italic>ALDH3A1&#x2a;2</italic> and <italic>ALDH1A1&#x2a;2</italic>) is known to reduce the activity of the ALDH enzyme, which affects the detoxification capacity of cyclophosphamide (CYC), theoretically increasing the risk of toxicity from CYC (<xref ref-type="bibr" rid="B16">Ekhart et al., 2008</xref>). A study involving 113 Caucasian patients receiving high-dose chemotherapy with a combination of CYC, thiotepa, and carboplatin showed that the <italic>ALDH1A1&#x2a;2</italic> variant, located in the promoter region and potentially having significant gene regulatory effects, was associated with an increased risk of liver toxicity and hemorrhagic cystitis (<xref ref-type="bibr" rid="B16">Ekhart et al., 2008</xref>). Another study at Michigan Hospital involving 846 patients receiving CYC-based chemotherapy regimens indicated that the presence of the <italic>ALDH1A1</italic> c.1234A&#x3e;G (rs8187996) variant was actually associated with a reduced risk of &#x2265;3 toxicity or the need for treatment modification due to toxicity. The rs8187996 variant is located in the intron (non-coding) region, which has a minor effect on gene regulation (<xref ref-type="bibr" rid="B35">Hwang et al., 2022</xref>). The differences in the location and functional effects of the genetic variants studied, as well as the differences in chemotherapy regimens used, may explain the differing results between the two studies.</p>
</sec>
</sec>
<sec id="s3-4">
<title>3.4 Mycophenolate mofetil</title>
<p>MMF is a pro-drug for mycophenolic acid (MPA), which hinders inosine monophosphate (IMP), thereby suppressing the production of guanosine monophosphate (GMP) to initiate reduced proliferation of B and T cells, as well as diminished production of antibodies. This pro-drug is used to treat SLE, specifically LN, due to the immunosuppressive activity. MMF experiences rapid absorption in the GI system and is transformed into MPA by esterase enzymes, particularly carboxylesterase 2 (CES2). MPA then engages in an enterohepatic cycle facilitated by an organic anion-carrying polypeptide. In this cycle, glucuronidation transforms MPA into the inactive forms, namely, 7-O-glucoside and acyl-glucuronide. The liver, kidney, and GI tract use UDP-glucuronosyltransferase 1A9 (<italic>UGT1A9</italic>) and other UGT1A superfamily enzymes for this glucuronidation process, leading to the formation of MPA 7-O-glucuronide (MPAG). The pharmacologically active metabolite, acyl-glucuronide of MPA (AcMPAG), is thought to contribute to the typical adverse effects of MMF. Following glucuronidation, MPAG is eliminated from the body through organic anion transporters (OATs) (<xref ref-type="bibr" rid="B46">Liu et al., 2015</xref>). Several MMF-related toxicities have been reported, such as GI manifestation, infections, anemia, low platelet count, leukopenia, and many more (<xref ref-type="bibr" rid="B53">Mok, 2015</xref>; <xref ref-type="bibr" rid="B67">Riskalla et al., 2003</xref>). The most common gene polymorphisms associated with MMF toxicity are <italic>IMPDH</italic>, <italic>UGT2B7</italic>, and <italic>SLCO1B1</italic> polymorphisms. For example, <italic>IMPDH2</italic> c.3757T&#x3e;C (rs11706052) has been associated with gastrointestinal toxicity (OR &#x3d; 3.05, 95% CI: 1.22&#x2013;7.60, <italic>p</italic> &#x3d; 0.02), <italic>UGT2B7</italic> -900A&#x3e;G (rs7438135) with GI toxicity (OR &#x3d; 2.34, 95% CI: 1.14&#x2013;4.79, <italic>p</italic> &#x3d; 0.02), and <italic>SLCO1B1</italic> c.521T&#x3e;C (rs4149056) with hematologic toxicity (OR &#x3d; 3.10, 95% CI: 1.23&#x2013;7.82, <italic>p</italic> &#x3d; 0.02) (<xref ref-type="bibr" rid="B60">Na Takuathung et al., 2021</xref>). <xref ref-type="fig" rid="F4">Figure 4</xref> shows effects of these gene polymorphisms on MMF-related toxicity.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Mechanism of gene polymorphisms affecting MMF-related toxicity. Abbreviations: MMF, mycophenolate mofetil; MPA, mycophenolic acid; AcMPAG, acyl-glucuronide of mycophenolic acid; MPAG, mycophenolic acid 7-O-glucuronide; IMP, inosine monophosphate; GMP, guanosine monophosphate; CES2, carboxylesterase 2; UGT, UDP-glucuronosyltransferases; ABCC2, ATP-binding cassette sub-family C member 2; OAT, organic anion transporters; SLCO1B1, solute carrier organic anion transporter family member 1B1; IMPDH, inosine 5&#x27;-monophosphate dehydrogenase; GI, gastrointestinal.</p>
</caption>
<graphic xlink:href="fgene-16-1594648-g004.tif"/>
</fig>
<sec id="s3-4-1">
<title>3.4.1 IMPDH polymorphisms</title>
<p>
<italic>IMPDH</italic> encodes an enzyme called inosine 5&#x2032;-monophosphate dehydrogenase 1 (IMPDH), which functions to produce the guanosine required in the lymphocytes proliferation process. MPA works by inhibiting IMPDH activity, while <italic>IMPDH1</italic> and <italic>IMPDH2</italic> variants influence the incidence of MMF toxicity. The variant of <italic>IMPDH1</italic> -106C&#x3e;A (rs2278294) and c.1575G&#x3e;A (rs2228075) were strongly associated with infection susceptibility and GI intolerance, such as nausea, vomiting, and diarrhea (<xref ref-type="bibr" rid="B64">Ohmann et al., 2010</xref>; <xref ref-type="bibr" rid="B73">Shu et al., 2021</xref>). <italic>IMPDH1</italic> encodes inosine monophosphate dehydrogenase type I, a key enzyme involved in the <italic>de novo</italic> synthesis of guanine nucleotides, which is essential for the proliferation of T and B lymphocytes. Mycophenolic acid (MPA), the active metabolite of mycophenolate mofetil (MMF), exerts its immunosuppressive effects by inhibiting this enzyme. Certain <italic>IMPDH1</italic> polymorphisms, such as nonsynonymous variants including rs2278294 and rs2228075, have been reported to reduce enzymatic activity through altered protein stability and impaired tetramer formation, without significantly affecting mRNA levels, indicating a post-translational regulatory mechanism. This reduction in IMPDH1 activity may enhance the pharmacodynamic effects of MPA, thereby intensifying immunosuppression and predisposing patients to infection. Additionally, enhanced local MPA effects in the gastrointestinal tract may contribute to increased risk of nausea, vomiting, and diarrhea. Ethnic differences in the distribution of IMPDH1 haplotypes may also partially explain interindividual variability in toxicity profiles (<xref ref-type="bibr" rid="B89">Wu et al., 2010</xref>). Meanwhile, <italic>IMPDH2</italic> c.3757T&#x3e;C (rs11706052) was associated with bone marrow toxicity due to an increase in IMPDH activity (<xref ref-type="bibr" rid="B61">Neerman and Boothe, 2003</xref>).</p>
</sec>
<sec id="s3-4-2">
<title>3.4.2 UGT2B7 polymorphisms</title>
<p>
<italic>UGT</italic> encodes UDP-glucuronosyltransferases (UGTs), such as <italic>UGT1A9</italic> and <italic>UGT1A8</italic>, which convert MPA to the inactive MPAG. However, one variant of UGT known as <italic>UGT2B7</italic> produces a minor highly reactive metabolite, AcMPAG, which is associated with drug toxicity (<xref ref-type="bibr" rid="B7">Bernard et al., 2006</xref>). A <italic>UGT2B7</italic> variant called <italic>UGT2B7 -</italic>900A<italic>&#x3e;</italic>G (rs7438135) was associated with a higher risk of leukopenia and anemia. In this variant, adenine (A) at coding DNA position 900 is replaced by guanine (G), causing a decrease in <italic>UGT2B7</italic> activity and leading to an accumulation of toxic metabolite, AcMPAG. Another genetic variant, <italic>UGT2B7</italic> c.802C&#x3e;T (rs7439366), was identified with contributions to increased susceptibility to infections, particularly <italic>Pneumocystis carinii</italic> pneumonia (<xref ref-type="bibr" rid="B73">Shu et al., 2021</xref>).</p>
</sec>
<sec id="s3-4-3">
<title>3.4.3 SLCO1B1 polymorphism</title>
<p>
<italic>SLCO1B1</italic> or solute carrier OATs family member 1B1, is a gene that encodes a membrane transporter protein primarily found in the liver. This transporter plays a crucial role in facilitating various endogenous and exogenous substances, including MMF, across cell membranes. <italic>SLCO1B1</italic> participates in the clearance of numerous drugs, and the most common alleles studied include <italic>SLCO1B1</italic> c.521T&#x3e;C (rs4149056) that causes the substitution of valine to alanine at position 174. The substitution leads to a decrease in the ability of the transporter to facilitate MPA intake, increasing MPA plasma concentration. S<italic>LCO1B1</italic> c.521T&#x3e;C was associated with MMF-induced anemia (<xref ref-type="bibr" rid="B73">Shu et al., 2021</xref>), but a previous study did not find a relationship between this polymorphism and toxicity (<xref ref-type="bibr" rid="B61">Neerman and Boothe, 2003</xref>).</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<sec id="s4-1">
<title>4.1 Immunosuppressant-related toxicity</title>
<p>Immunosuppressant is used when the disease progresses from moderate to severe condition and the administration of GCs as SLE first-line treatment cannot sustain clinical remission (<xref ref-type="bibr" rid="B21">Gatto et al., 2019</xref>). In general, immunosuppressant mechanism of action requires suppressing and decreasing the autoimmune responses, which can target various organs and systems in the body. This serves to minimize damage in various organs, thereby preventing life-threatening conditions. The use of immunosuppressant is based on the organs engaged in SLE activity and the conditions of patients. Moderately active lupus and joints involved are treated with MTX, while LN and other severe cases are treated primarily with MMF and CYC (<xref ref-type="bibr" rid="B52">Mohamed et al., 2019</xref>; <xref ref-type="bibr" rid="B19">Fraenkel et al., 2021</xref>). Immunosuppressants contribute to reduced GC exposure, improved disease stabilization, and enhanced long-term survival. Nonetheless, their use is associated with a high incidence of adverse effects, with reported toxicity rates ranging from 42.8% to 97.3%. Common toxicities include infections, gastrointestinal disturbances, amenorrhea, ovarian dysfunction, hematologic cytopenia, hepatic dysfunction, bone marrow suppression, pulmonary toxicity, and others. The specific toxicity profile often depends on the pharmacological agent used and the patient&#x2019;s genetic predisposition (<xref ref-type="bibr" rid="B63">Oglesby et al., 2013</xref>).</p>
</sec>
<sec id="s4-2">
<title>4.2 Pharmacogenomics and personalized treatment</title>
<p>The integration of pharmacogenomic strategies into SLE management&#x2014;particularly regarding immunosuppressive therapy&#x2014;has gained increasing attention. Advances in pharmacogenetic research have identified single nucleotide polymorphisms (SNPs) as critical determinants of interindividual variability in drug response and toxicity (<xref ref-type="bibr" rid="B50">Meng et al., 2018</xref>). Genetic polymorphisms in genes involved in drug metabolism and enzymatic activity&#x2014;such as <italic>TPMT&#x2a;2, &#x2a;3B, &#x2a;3C</italic> variants in azathioprine (AZA) recipients and <italic>MTHFR</italic> c.667C&#x3e;T and c.1298A&#x3e;C in MTX-treated patients&#x2014;have been associated with increased susceptibility to drug-induced toxicity (<xref ref-type="bibr" rid="B83">Van Der Put et al., 1998</xref>; <xref ref-type="bibr" rid="B27">Gu et al., 2023</xref>; <xref ref-type="bibr" rid="B58">Murugesan et al., 2009</xref>) (see <xref ref-type="table" rid="T1">Table 1</xref>).</p>
<p>Furthermore, ethnic variability contributes significantly to the genetic landscape of SLE, affecting the distribution and impact of pharmacogenomic markers. For instance, the <italic>ATIC</italic> c.347C&#x3e;G polymorphism has shown differential toxicity outcomes across racial groups in MTX users (<xref ref-type="bibr" rid="B45">Lee and Bae, 2016</xref>). Similarly, the <italic>ABCC4</italic> c.2269G&#x3e;A variant has been linked to AZA toxicity, with the highest incidence observed in Asian populations and minimal occurrence in Caucasians (<xref ref-type="bibr" rid="B39">Juster-switlyk et al., 2017</xref>; <xref ref-type="bibr" rid="B94">Zhao et al., 2016</xref>; <xref ref-type="bibr" rid="B8">Campbell et al., 2016</xref>; <xref ref-type="bibr" rid="B51">Milosevic et al., 2018</xref>). These findings underscore the need for population-specific pharmacogenomic research to develop equitable and evidence-based treatment strategies across diverse demographic groups.</p>
</sec>
<sec id="s4-3">
<title>4.3 Current research gaps and future directions</title>
<p>Current pharmacogenomic studies in SLE predominantly focus on single-drug and single-gene associations, with limited exploration into polygenic interactions or the effects of gene&#x2013;drug combination therapies on toxicity profiles. Broader research encompassing gene-gene and gene-environment interactions is essential to fully understand the complexity of treatment responses in SLE. The incorporation of advanced genomic technologies such as next-generation sequencing (NGS) holds promise for generating more comprehensive datasets. Such data could inform clinical decision-making and facilitate the development of personalized medicine approaches tailored to the genetic and clinical characteristics of individual patients.</p>
</sec>
</sec>
<sec sec-type="conclusion" id="s5">
<title>5 Conclusion</title>
<p>Understanding the association between immunosuppressant-related adverse effects and gene polymorphisms is crucial for assessing patient risk, enabling individualized drug therapy, and enriching global pharmacogenetic knowledge. Insights from pharmacogenetics can support the prediction and prevention of adverse reactions to drugs such as methotrexate (MTX), azathioprine (AZA), cyclophosphamide (CYC), and mycophenolate mofetil (MMF). Nevertheless, current evidence is limited by small sample sizes, underrepresentation of specific populations (e.g., pediatric and ethnically diverse groups), and methodological challenges in genotyping and data interpretation.</p>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="s6">
<title>Author contributions</title>
<p>SH: Writing &#x2013; original draft, Investigation, Data curation, Visualization. LH: Methodology, Supervision, Conceptualization, Writing &#x2013; review and editing. RA: Writing &#x2013; review and editing, Methodology, Supervision. MB: Supervision, Writing &#x2013; review and editing, Methodology, Conceptualization.</p>
</sec>
<sec sec-type="funding-information" id="s7">
<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 Ministry of Education, Culture, Research, and Technology, Republic of Indonesia under Doctoral Dissertation Research scheme grant.</p>
</sec>
<sec sec-type="COI-statement" id="s8">
<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="s9">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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