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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1217516</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2023.1217516</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The pharmacogenomics of carbamazepine-induced cutaneous adverse drug reaction in the South of Vietnam</article-title>
<alt-title alt-title-type="left-running-head">Nguyen 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/fphar.2023.1217516">10.3389/fphar.2023.1217516</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Nguyen</surname>
<given-names>Ai-Hoc</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/2299636/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sukasem</surname>
<given-names>Chonlaphat</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="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/191903/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nguyen</surname>
<given-names>Quy Ngoc</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2280517/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Pham</surname>
<given-names>Hong Tham</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Pathology</institution>, <institution>Division of Pharmacogenomics and Personalized Medicine</institution>, <institution>Faculty of Medicine Ramathibodi Hospital</institution>, <institution>Mahidol University</institution>, <addr-line>Bangkok</addr-line>, <country>Thailand</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Laboratory for Pharmacogenomics</institution>, <institution>Somdech Phra Debaratana Medical Center (SDMC)</institution>, <institution>Ramathibodi Hospital</institution>, <addr-line>Bangkok</addr-line>, <country>Thailand</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Pharmacy</institution>, <institution>Nhan Dan Gia Dinh Hospital</institution>, <addr-line>Ho ChiMinh City</addr-line>, <country>Vietnam</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Pharmacogenomics and Precision Medicine Clinic, Bumrungrad International Hospital</institution>, <addr-line>Bangkok</addr-line>, <country>Thailand</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Bumrungrad Genomic Medicine Institute (BGMI), Bumrungrad International Hospital</institution>, <addr-line>Bangkok</addr-line>, <country>Thailand</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Pharmacy</institution>, <institution>Nguyen Tat Thanh University</institution>, <addr-line>Ho ChiMinh City</addr-line>, <country>Vietnam</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/1423676/overview">Miriam Saiz-Rodr&#xed;guez</ext-link>, Hospital Universitario de Burgos, Spain</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/1159986/overview">Abdelbaset A. Elzagallaai</ext-link>, Western University, Canada</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1229002/overview">Zhibin Chen</ext-link>, Monash University, Australia</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Hong Tham Pham, <email>phtham@ntt.edu.vn</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>13</day>
<month>07</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1217516</elocation-id>
<history>
<date date-type="received">
<day>05</day>
<month>05</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>07</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Nguyen, Sukasem, Nguyen and Pham.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Nguyen, Sukasem, Nguyen and Pham</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>
<bold>Background:</bold> The relationship between <italic>HLA-B&#x2a;15:02</italic> and Severe Cutaneous Adverse Reactions was rigorously examined in Japanese, Han Chinese, Thais, and Caucasians. However, the number of studies about this topic in Vietnamese population is still limited and mostly focuses on the North of Vietnam.</p>
<p>
<bold>Objective:</bold> This study aims to clarify the genetic culprit of SCARs in Vietnamese population, particularly in the South of Vietnam, and to validate our result by a meta-analysis about this topic in Vietnamese.</p>
<p>
<bold>Method:</bold> A retrospective case-control study with 37 patients treated with carbamazepine monotherapy. Statistical calculation and meta-analysis were performed by R software.</p>
<p>
<bold>Result:</bold> <italic>HLA-B&#x2a;15:02</italic> increases the risk of SJS 12.5 times higher in CBZ-treated patients (<italic>p</italic>-value &#x3d; 0.017). However, this allele has no impact on MCARs (Mild Cutaneous Adverse Reactions) of CBZ. The number needed to test and the number needed to genotype is two and nine patients respectively.</p>
<p>
<bold>Conclusion:</bold> This study recommends more investigations about the cost-effectiveness of this test to accelerate the protection of Southern Vietnamese from SCARs.</p>
</abstract>
<kwd-group>
<kwd>pharmacogenomics</kwd>
<kwd>Vietnam</kwd>
<kwd>HLA-B&#x2a;15:02</kwd>
<kwd>SJS</kwd>
<kwd>MCARs</kwd>
<kwd>SCARs</kwd>
<kwd>epileptic</kwd>
<kwd>carbamazepine</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>George Snell (<xref ref-type="bibr" rid="B22">Snell, 1981</xref>), a Nobel laureate, discovered the Major Histocompatibility Complex (MCH) in 1948. Ten years later, the first Human Leucocyte Antigen (HLA) was detected (<xref ref-type="bibr" rid="B25">Thorsby, 2009</xref>). Since then, HLA genes have been gradually unveiled to be one of the most sophisticated genes with over 35,000 alleles confirmed by the time of this study (<xref ref-type="bibr" rid="B1">Barker et al., 2023</xref>). Different alleles render different amino acids in MCH molecules, where the antigen presentation happens in a manner of specificity. MCH contains two major classes designated as HLA class I and HLA class II, which are respectively responsible for the endogenous and exogenous pathways. Moreover, the polymorphism of HLA genes plays a crucial role in the development of Steven-Johnson (SJS) and Toxic epidermal necrolysis (TEN).</p>
<p>The diversity of genes encrypted for HLA protein is not only reflected in one single ethnicity, where this diversity allows a wide range of antigens to be recognized and responded to, but also reflected in the differences between ethnicities. Most of the genetic causes of Carbamazepine-induced SCARs were investigated in developed Asian countries, such as Han Chinese (<xref ref-type="bibr" rid="B32">Wang et al., 2011</xref>; <xref ref-type="bibr" rid="B33">Zhang et al., 2011</xref>), Thais (<xref ref-type="bibr" rid="B24">Tassaneeyakul et al., 2010</xref>; <xref ref-type="bibr" rid="B23">Sukasem et al., 2018</xref>), and Taiwanese (<xref ref-type="bibr" rid="B4">Chen et al., 2011</xref>). However, Southeast Asian populations have received less attention, especially in the South of Vietnam where the flow of immigration created an admixture of crowded population. The South of Vietnam is the home of around 40&#xa0;million people (2023) with diverse ethnicities such as Kinh Vietnamese, Khmer Krom, Cham Vietnamese, etc. In Caucasians, Japanese, and Koreans, even though a myriad of meticulous research has been conducted about <italic>HLA-B&#x2a;1502</italic>, this allele is reported to be rare and not associated with statistically significant risk in these populations. In contrast, the <italic>HLA-B&#x2a;15:02</italic> allele was believed to have the highest allele frequency and fatal risk in the general population of Southeast Asia (<xref ref-type="bibr" rid="B17">Moutaouakkil et al., 2019</xref>).</p>
<p>Indeed, the relationship between <italic>HLA-&#x2a;B-15:02</italic> and SCARs was rigorously examined in Japanese, Han Chinese, Thais, and Caucasians. However, the number of studies about this topic in Vietnamese population is still limited and mostly focuses on the North of Vietnam (<xref ref-type="bibr" rid="B28">Van Nguyen et al., 2015</xref>; <xref ref-type="bibr" rid="B27">Van Nguyen et al., 2022</xref>). Given that Vietnam is a highly populated and racially diverse country, which can create genetic heterogeneity, more research is needed to fully understand the genetic predisposition of Vietnamese, especially those in the south of Vietnam. Unfortunately, as an economically developing area, Vietnam faces tremendous financial barriers in scientific research, which may result in the most vulnerable population possibly receiving the least pre-emptive protection.</p>
<p>
<italic>HLA-B&#x2a;15:02</italic> is not only important in the treatment of Carbamazepine, but also in its structural analog, Oxcarbazepine (<xref ref-type="bibr" rid="B20">Phillips et al., 2018</xref>). The cross-reactivity of <italic>HLA-B&#x2a;1502</italic> contributes to the improvement in cost-effectiveness, making this allele a worthy investment for personalized therapy.</p>
<p>In this study, we aimed to clarify the genetic culprit of SCARs in the Vietnamese population, particularly in the South of Vietnam. We also compare the associated risk and genetic patterns in the population between the south and the north of Vietnam or other countries.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>2 Methods</title>
<sec id="s2-1">
<title>2.1 Study design and participants</title>
<p>This is a case-control study with the control group defined by patients tolerant with CBZ. The study was conducted in the Department of Neurology at NDGD Hospital from 1 January 2019 to 31 December 2020. The analysis included a total of 7 cases of CBZ-induced SJS, 12 cases of CBZ-induced MCARs, and 18 cases of CBZ-tolerant control as shown in <xref ref-type="fig" rid="F1">Figure 1</xref>.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Recruitment process of epileptic patients.</p>
</caption>
<graphic xlink:href="fphar-14-1217516-g001.tif"/>
</fig>
<p>All patients were recruited retrospectively with the definitions based on the information written in the medical records. The definition of CBZ tolerant is the patients who administered CBZ and the attending physician did not write any diagnosis of SJS or other skin manifestations of allergy. The definition of CBZ-induced SJS is the patients who administered CBZ and the attending physician wrote the diagnosis of SJS. The definition of CBZ-induced MCARs is the patients who administered CBZ and the attending physician wrote the diagnosis of itching skin, hypersensitivity reaction, CBZ allergy, anaphylaxis level 1, skin reaction, or symptomatic allergy. The patients who administered both CBZ and PHT were excluded from this study, only epileptic patients treated with monotherapy CBZ were included. Patients without information of genotype were also excluded from this study. The diagnosis of SJS/TEN was performed by certified dermatologists in accordance with the hospital&#x2019;s guidelines, which included the following criteria: 1) Onset of symptoms within 2&#xa0;months of initiating CBZ. 2) Presence of a rash affecting the face, upper body, limbs, or spreading extensively across the entire body. 3) Mucosal damage observed in at least two natural cavities, such as the eyes, nose, mouth, vagina, or anus. 4) Skin detachment (10% for SJS, 30% for TEN) or the presence of Nikolsky&#x2019;s sign.</p>
</sec>
<sec id="s2-2">
<title>2.2 Genotyping methods</title>
<p>Within 76 patients with available DNA, 30 DNA samples were sent to the genotyping service at the laboratory of Pharmacogenomic and Personalize Medicine (PPM) of Ramathibodi Hospital Mahidol University, Bangkok, Thailand, 46 DNA samples were sent to the genotyping service at University Medical Center (UMC), University of Medicine and Pharmacy at Ho Chi Minh city. The genotyping method used at PPM was Luminex&#x2122; flow cytometry. In brief, the sample DNA binds complementarily to a panel of probes, which was designed with known nucleic sequences. The fluorescence detection technology was used to identify successful binding complexes, and hence, identify the sequence and genotype of the sample. The genotyping method used at UMC was real-time Polymerase Chain Reaction (real-time PCR), using Tagman&#x2122; genotyping assay.</p>
</sec>
<sec id="s2-3">
<title>2.3 Statistical analysis</title>
<p>All statistical analyses were done by R software version 4.2.3 (R Foundation for Statistical Computing, Vienna, Austria). Student&#x2019;s t-test was used to compare the differences between 2 independent groups. Chi-squared tests were used to compare the ratio of males and females between 2 groups; Fisher&#x2019;s exact test was employed to compare the risk of alleles between the cases and the controls.</p>
</sec>
<sec id="s2-4">
<title>2.4 Meta-analysis</title>
<p>This analysis aimed to compare our conclusion with the Vietnamese population in the both the North and the South by evaluating the impact of <italic>HLA-B&#x2a;15:02</italic> in Vietnamese epileptic patients treated with CBZ, utilizing various databases such as Pubmed, Google Scholar, Cochrane Library, and ScienceDirect (<xref ref-type="fig" rid="F2">Figure 2</xref>). The keywords used were &#x201c;<italic>HLA-B&#x2a;15:02</italic> Vietnamese&#x201d;, &#x201c;<italic>HLA-B&#x2a;15:02</italic> Vietnam&#x2019;&#x2019;, &#x201c;SJS&#x201d;, &#x201c;Steven-Johnson Syndrome&#x201d;. To select the suitable studies, the selection criteria were: 1) Containing the case-control analysis of <italic>HLA-B&#x2a;15:02</italic> and SJS, 2) Targeting Vietnamese epileptic patients, 3) Including the clear definitions of case and control with corresponding numbers, and the exclusion criteria were: 1) Duplicating studies, 2) Researching about the development of genotyping methods in Vietnam, 3) Being a case report or cross-sectional study. Data analysis and visualization were performed on Rstudio, using random effect with a <italic>p</italic>-value lower than 0.05 is considered statistically significant, and with I<sup>2</sup> higher than 50% was defined as heterogeneous. The estimation method used for the random effect is restricted maximum likelihood.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>PRISMA flowchart for identification of eligible studies.</p>
</caption>
<graphic xlink:href="fphar-14-1217516-g002.tif"/>
</fig>
</sec>
<sec id="s2-5">
<title>2.5 Ethics approval</title>
<p>This study was approved by the Ethics Committee of NDGD Hospital, Ho Chi Minh City, Vietnam, under approval number 23-2015/CN-H&#x110;&#x110;&#x110;, on 13 October 2015. As we used only retrospective data from health records while also maintaining patient confidentiality, no informed consent was required for this study.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Result</title>
<sec id="s3-1">
<title>3.1 Genetic and demographic information of patients</title>
<p>
<xref ref-type="table" rid="T1">Table 1</xref> describes the characteristic of the participants. The age of patients was widely distributed from 25 to 85 years old. The separation of gender was fairly equal between males (21 patients) and females (16 patients) in total participants. However, there was a higher proportion of males in the SJS group. The percentage of males respectively was 50% and 55.6% in the group of CBZ-induced MCARs and CBZ-tolerant control. All three groups contained patients with chronic diseases, such as hypertension or dyslipidemia. Nearly 30% of epileptic patients had a medical history of cerebral infarction or brain hemorrhage.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Demographic data of recruited epileptic patients.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left"/>
<th align="center">CBZ-induced SJS (n &#x3d; 7)</th>
<th align="center">CBZ-induced MCARs (n &#x3d; 12)</th>
<th align="center">CBZ-tolerant control (n &#x3d; 18)</th>
<th align="center">
<italic>p</italic> values <sup>&#x166;</sup>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="5" align="left">Gender (number; percent)</td>
</tr>
<tr>
<td align="left">&#x2003;Male</td>
<td align="center">5 (71%)</td>
<td align="center">6 (50%)</td>
<td align="center">10 (55.6%)</td>
<td rowspan="2" align="center">0.785; 1.000</td>
</tr>
<tr>
<td align="left">&#x2003;Female</td>
<td align="center">2 (29%)</td>
<td align="center">6 (50%)</td>
<td align="center">8 (44.4%)</td>
</tr>
<tr>
<td colspan="5" align="left">Age (years)</td>
</tr>
<tr>
<td align="left">&#x2003;Min</td>
<td align="center">30</td>
<td align="center">25</td>
<td align="center">31</td>
<td rowspan="3" align="center">0.4813; 0.3227</td>
</tr>
<tr>
<td align="left">&#x2003;Average</td>
<td align="center">51</td>
<td align="center">49.8</td>
<td align="center">56.2</td>
</tr>
<tr>
<td align="left">&#x2003;Max</td>
<td align="center">83</td>
<td align="center">85</td>
<td align="center">81</td>
</tr>
<tr>
<td colspan="5" align="left">Group of age</td>
</tr>
<tr>
<td align="left">&#x2003;25&#x2013;45</td>
<td align="center">2</td>
<td align="center">6</td>
<td align="center">6</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;46&#x2013;65</td>
<td align="center">4</td>
<td align="center">3</td>
<td align="center">9</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;66&#x2013;87</td>
<td align="center">1</td>
<td align="center">3</td>
<td align="center">3</td>
<td align="left"/>
</tr>
<tr>
<td colspan="5" align="left">Height (cm)</td>
</tr>
<tr>
<td align="left">&#x2003;Min</td>
<td align="center">150</td>
<td align="center">148</td>
<td align="center">150</td>
<td rowspan="3" align="center">0.5821; 0.3097</td>
</tr>
<tr>
<td align="left">&#x2003;Average</td>
<td align="center">164.6</td>
<td align="center">159.6</td>
<td align="center">162.6</td>
</tr>
<tr>
<td align="left">&#x2003;Max</td>
<td align="center">173</td>
<td align="center">172</td>
<td align="center">176</td>
</tr>
<tr>
<td colspan="5" align="left">Weight (kg)</td>
</tr>
<tr>
<td align="left">&#x2003;Min</td>
<td align="center">51</td>
<td align="center">43</td>
<td align="center">47</td>
<td rowspan="3" align="center">0.5954; 0.4199</td>
</tr>
<tr>
<td align="left">&#x2003;Average</td>
<td align="center">62.3</td>
<td align="center">57</td>
<td align="center">59.7</td>
</tr>
<tr>
<td align="left">&#x2003;Max</td>
<td align="center">86</td>
<td align="center">73</td>
<td align="center">80</td>
</tr>
<tr>
<td colspan="5" align="left">Diagnosis other than epilepsy</td>
</tr>
<tr>
<td align="left">&#x2003;Hypertension</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">7</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Dyslipidemia</td>
<td align="center">1</td>
<td align="center">2</td>
<td align="center">6</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Implication of cerebral infarction</td>
<td align="center">1</td>
<td align="center">2</td>
<td align="center">5</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Implication of brain hemorrhage</td>
<td align="center">2</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Cerebral vascular insufficiency</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">5</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Liver disease</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Osteoporosis</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SJS: Stevens-Johnson syndrome; &#x166;: The first <italic>p</italic>-value is between CBZ-induced SJS, and tolerant control. The second <italic>p</italic>-value is between CBZ-induced MCARs, and tolerant control. <italic>p</italic> values were received from the Student&#x2019;s t-test (except for gender variables, which used the Chi-squared test). A <italic>p</italic>-value lower than 0.05 are considered statistically significant (two-sided); cm: centimeter; kg: kilogram.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Among twelve carbamazepine-induced MCARs patients, five patients were diagnosed with itching skin and hypersensitivity reactions, six patients were diagnosed with symptomatic allergy and skin reactions of allergy, and one patient was diagnosed with anaphylaxis level 1 due to CBZ allergy. It is important to note that none of the twelve patients exhibited symptoms specific enough to be classified as SJS/TEN.</p>
</sec>
<sec id="s3-2">
<title>3.2 The frequencies of <italic>HLA-B</italic> alleles detected in Southern Vietnamese</title>
<p>
<xref ref-type="table" rid="T2">Table 2</xref> shows the HLA allele polymorphism in the epileptic southern population of Vietnam, where a total of 22 alleles were observed. The most popular <italic>HLA-B</italic> alleles are <italic>15:02</italic> (20%), <italic>38:02</italic> (10%), and <italic>46:01</italic> (10%). There is a 5% of frequency in each of the following alleles: 7:05; 18:01, 37:01, 57:01. The rest 15 alleles account for around 1.7%&#x2013;6.7% of the whole population.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>The frequencies of detected <italic>HLA-B</italic> alleles in the population of Southern Vietnamese.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Allele</th>
<th align="center">Freq</th>
<th align="center">Allele</th>
<th align="center">Freq</th>
<th align="center">Allele</th>
<th align="center">Freq</th>
<th align="center">Allele</th>
<th align="center">Freq</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">7:05</td>
<td align="center">0.05</td>
<td align="center">15:25</td>
<td align="center">0.033</td>
<td align="center">38:02</td>
<td align="center">0.1</td>
<td align="center">51:01</td>
<td align="center">0.017</td>
</tr>
<tr>
<td align="center">13:01</td>
<td align="center">0.017</td>
<td align="center">18:01</td>
<td align="center">0.05</td>
<td align="center">39:01</td>
<td align="center">0.017</td>
<td align="center">53:04</td>
<td align="center">0.017</td>
</tr>
<tr>
<td align="center">15:01</td>
<td align="center">0.017</td>
<td align="center">27:04</td>
<td align="center">0.033</td>
<td align="center">40:01</td>
<td align="center">0.067</td>
<td align="center">57:01</td>
<td align="center">0.05</td>
</tr>
<tr>
<td align="center">15:02</td>
<td align="center">0.2</td>
<td align="center">27:06</td>
<td align="center">0.033</td>
<td align="center">44:03</td>
<td align="center">0.017</td>
<td align="center">58:01</td>
<td align="center">0.033</td>
</tr>
<tr>
<td align="center">15:08</td>
<td align="center">0.017</td>
<td align="center">35:05</td>
<td align="center">0.033</td>
<td align="center">46:01</td>
<td align="center">0.1</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">15:12</td>
<td align="center">0.033</td>
<td align="center">37:01</td>
<td align="center">0.05</td>
<td align="center">50:01</td>
<td align="center">0.017</td>
<td align="left"/>
<td align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<italic>HLA-</italic>B: Human leucocyte antigen class 1&#xa0;B; Freq: Frequency.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-3">
<title>3.3 The increased risk patients carrying <italic>HLA-B&#x2a;15:02</italic> in Southern Vietnamese</title>
<p>
<xref ref-type="table" rid="T3">Table 3</xref> illustrates that in the Southern Vietnamese population, the HLA-B&#x2a;15:02 allele is a statistically significant risk factor for SJS (<italic>p</italic> &#x3d; 0.017), but not for MCARs (<italic>p</italic> &#x3d; 0.660). The odd ratio of the <italic>HLA-B&#x2a;15:02</italic> allele is 12.5. In other words, the carriers of this allele have 12.5 times higher risk than non-carriers, in terms of SJS. The sensitivity and specificity are 71.4% and 83.3% respectively, meaning that the hospital&#x2019;s protocol can correctly identify 71.4% of SJS patients, and correctly identify 83.3% of non-SJS patients. Besides, the PPV and NPV are 62.5% and 88.2% respectively. These two parameters are interpreted in the context that the results of HLA-B&#x2a;15:02 are available. In these cases, if the result of a patient is positive, the possibility for this patient to have SJS is 62.5%, and if the result of a patient is negative, the possibility for this patient to not have SJS is 88.3%. Moreover, the NNT and NNG are respectively 2 and 9, which confirms that to protect 1 patient from SJS, the intervention of replacing CBZ with an alternative drug has to be done in 2 patients, or the genetic test has to be done in 9 patients.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>The association and odd ratio of <italic>HLA-B</italic> alleles.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">
<italic>HLA-B</italic>
</th>
<th align="left">Case</th>
<th align="center">Tolerant control</th>
<th align="center">OR (95% CI)</th>
<th align="center">
<italic>p</italic> values</th>
<th align="center">Sens (%)</th>
<th align="center">Spec (%)</th>
<th align="center">PPV (%)</th>
<th align="center">NPV (%)</th>
<th align="center">NNT</th>
<th align="center">NNG</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="11" align="left">
<bold>SJS</bold>
</td>
</tr>
<tr>
<td align="center">&#x2003;15:02</td>
<td align="center">5/2</td>
<td align="center">3/15</td>
<td align="center">12.50 (1.60, 97.65)</td>
<td align="center">0.017</td>
<td align="center">71.4</td>
<td align="center">83.3</td>
<td align="center">62.5</td>
<td align="center">88.2</td>
<td align="center">2</td>
<td align="center">9</td>
</tr>
<tr>
<td colspan="11" align="left">
<bold>MCARs</bold>
</td>
</tr>
<tr>
<td align="center">&#x2003;15:02</td>
<td align="center">3/9</td>
<td align="center">3/15</td>
<td align="center">1.67 (0.28, 10.09)</td>
<td align="center">0.660</td>
<td align="center">25</td>
<td align="center">83.3</td>
<td align="center">50</td>
<td align="center">62.5</td>
<td align="center">8</td>
<td align="center">40</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SJS: Stevens-Johnson syndrome; MCARs: Mild Cutaneous Adverse Reactions; OR: odd ratios; 95% CI: 95% confident interval; <italic>p</italic> values were calculated by Fisher exact test with the significance threshold of 0.05; Sens: Sensitivity; Spec: Specificity; PPV: positive predictive value; NPV: negative predictive value; NNT: number needed to treat; NNG: number needed to genotype.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Out of the twelve cases of allopurinol-induced MCARs, three patients tested positive for <italic>HLA-B&#x2a;15:02</italic>. While the strength of evidence is not large enough to be statistically significant, it is worth noting that the rate of <italic>HLA-B&#x2a;15:02</italic> in the MCARs group is higher compared to the group of tolerant controls.</p>
</sec>
<sec id="s3-4">
<title>3.4 Meta-analysis</title>
<p>A meta-analysis was performed about the risk of <italic>HLA-B&#x2a;15:02</italic> and SCARs in Vietnamese with a total of 6 studies (<xref ref-type="bibr" rid="B28">Van Nguyen et al., 2015</xref>; <xref ref-type="bibr" rid="B30">Van Nguyen et al., 2017</xref>; <xref ref-type="bibr" rid="B9">Huyen et al., 2020</xref>; <xref ref-type="bibr" rid="B29">van Nguyen et al., 2021</xref>; <xref ref-type="bibr" rid="B5">Chu, 2022</xref>; <xref ref-type="bibr" rid="B2">Bui et al., 2023</xref>). All these 6 studies were conducted and recruited patients exclusively in the northern region of Vietnam, specifically at Bach Mai Hospital, Tam Anh Hospital (Ha Noi branch), and the National Hospital of Dermatology and Venerology. Surprisingly, no eligible studies conducted in the southern region of Vietnam were identified or included in this meta-analysis (<xref ref-type="sec" rid="s11">Supplementary Table S1</xref>). Interestingly, a recent study by Bui TP et al. (<xref ref-type="bibr" rid="B2">Bui et al., 2023</xref>) reported a negative association between <italic>HLA-&#x2a;B15:02</italic> and SCARs in Vietnamese in January 2023. However, our analysis using pooled data from all six studies showed a strong positive association between <italic>HLA-B&#x2a;15:02</italic> and SCARs, as determined by both common effect and random effects models (<xref ref-type="fig" rid="F3">Figure 3</xref>). Carriers of <italic>HLA-B&#x2a;15:02</italic> had 12.82 times higher odds of developing SCARs compared to non-carriers (<italic>p</italic>-value &#x3c;0.01). The odd ratio calculated from previous studies in the meta-analysis was consistent with the odd ratio in the current study.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Forest plot of the association between <italic>HLA-B&#x2a;15:02</italic> and SCARs in Vietnamese.</p>
</caption>
<graphic xlink:href="fphar-14-1217516-g003.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<p>This is the first case-control study to investigate the pharmacogenomics of CBZ-induced SJS in Southern Vietnam. Based on the evidence that the pharmacogenomic test can protect one case of SJS with every two interventions or every nine genetic tests, we recommend implementing this test in the population of Southern Vietnamese.</p>
<p>In the population of Southern Vietnamese, our study reported a higher frequency of the <italic>HLA-B&#x2a;15:02</italic> allele, 20% compared to 11.88% in a study of the general population of Southern Vietnamese by Do MD et al. (<xref ref-type="bibr" rid="B6">Do et al., 2020</xref>). In the population of Northern Vietnamese, the frequency of <italic>HLA-B&#x2a;15:02</italic> in epileptic patients varies between studies 13.5% (<xref ref-type="bibr" rid="B28">Van Nguyen et al., 2015</xref>), 15.2% (<xref ref-type="bibr" rid="B29">van Nguyen et al., 2021</xref>), 17.7% (<xref ref-type="bibr" rid="B2">Bui et al., 2023</xref>), and 41.7% (<xref ref-type="bibr" rid="B9">Huyen et al., 2020</xref>). The possible explanation may be due to the different regions or the small sample size, which can only reflect a part of the whole population. Interestingly enough, Que TN et al. (<xref ref-type="bibr" rid="B21">Que et al., 2022</xref>) reported a frequency of 15.11% of <italic>HLA-B&#x2a;15:02</italic> with a sample size of 3750 participants, who were recruited in Northern and North-central Vietnam (<xref ref-type="bibr" rid="B21">Que et al., 2022</xref>). Besides, we found the frequencies of <italic>HLA-B&#x2a;38:02</italic> and &#x2a;46:01 to be equally 10%. Comparatively, Do MD et al. (<xref ref-type="bibr" rid="B6">Do et al., 2020</xref>) reported these two alleles to be 7.92% and 9.41% respectively. Que TN et al. (<xref ref-type="bibr" rid="B21">Que et al., 2022</xref>) also reported these two alleles to be 7.29% and 10.7% respectively.</p>
<p>Regarding global populations, Southeast Asians are regarded as having the highest frequency of <italic>HLA-B&#x2a;15:02</italic> in the world (<xref ref-type="bibr" rid="B17">Moutaouakkil et al., 2019</xref>; <xref ref-type="bibr" rid="B31">Van Nguyen et al., 2019</xref>). Indeed, numerous studies published the frequency of <italic>HLA-B&#x2a;15:02</italic> in their own country, such as 15.11% in Thailand (<xref ref-type="bibr" rid="B33">Zhang et al., 2011</xref>), 32.8% in Indonesia (<xref ref-type="bibr" rid="B11">Khosama, 2017</xref>), 8.3% in Malaysia (<xref ref-type="bibr" rid="B3">Chang et al., 2011</xref>), and 5.7% in Singapore (<xref ref-type="bibr" rid="B16">Middleton et al., 2004</xref>). Moving toward northeast Asia, this frequency gradually decreases, such as 7.3% in Southern Chinese (<xref ref-type="bibr" rid="B26">Trachtenberg et al., 2007</xref>), 1.9% in Northern Chinese (<xref ref-type="bibr" rid="B8">Hong et al., 2005</xref>), 7.7% in Taiwanese (<xref ref-type="bibr" rid="B4">Chen et al., 2011</xref>), 10.2% in Hongkong (<xref ref-type="bibr" rid="B16">Middleton et al., 2004</xref>), 1.7% in Japanese (<xref ref-type="bibr" rid="B10">Ikeda et al., 2010</xref>) and 0.4% in South Koreans (<xref ref-type="bibr" rid="B12">Kim et al., 2011</xref>). In contrast, <italic>HLA-B&#x2a;15:02</italic> is seemingly absent in Caucasians, such as French (<xref ref-type="bibr" rid="B7">Gourraud et al., 2015</xref>), and the United States (<xref ref-type="bibr" rid="B15">Maiers et al., 2007</xref>).</p>
<p>The clinical implication of <italic>HLA-B-&#x2a;15:02</italic> is specifically related to SJS and not MCARs, even though both are the cutaneous manifestations of allergy. This observation can be explained by recent immunologic findings that the CBZ hyperactivity reaction is not solely dependent on the specificity of HLA, but also the specificity of the T-cells and their receptors (<xref ref-type="bibr" rid="B14">Ko et al., 2011</xref>; <xref ref-type="bibr" rid="B13">Ko and Chen, 2012</xref>). This evidence also explains why three patients in our study tested positive for <italic>HLA-B&#x2a;15:02</italic> but did not develop SJS.</p>
<p>Pharmacogenomics and personalized medicine are well-known to be ethnicity-specific. Even though in the same country, the genetic diversity could be significant and should not be ignored. This is especially true in the case of Vietnam, with a population of 100 million or 54 ethnicities, concentrated mainly in two metropolitan and healthcare centers of the north and the south. The absence of medical evidence in an ethnic group can impede the clinical implementation of a beneficial intervention. This is not only a medical issue, but also an ethical problem to have an equitable healthcare system (<xref ref-type="bibr" rid="B19">Patrinos et al., 2023</xref>). Besides the genetic differences, the socioeconomic and academic differences between regions also play an important role in pharmacogenomic research and implementation to ensure cost-effectiveness in resource-limited hospitals (<xref ref-type="bibr" rid="B18">Nagar et al., 2019</xref>).</p>
<p>Several limitations need to be rectified by future research. Firstly, the patients were genotyped by two genotyping methods, which may have increased the potential for bias. The decision to employ these methods was necessitated by the challenging circumstances presented by the COVID-19 pandemic. As a result, the <italic>HLA-B&#x2a;15:02</italic> genotyping had to be conducted at a different hospital. Therefore, the better choice would be to use only one genotyping method. Secondly, the sample size is relatively small, larger studies should be conducted to clarify the finding in this study more thoroughly, especially for the outcome of MCARs in Southern Vietnamese. Thirdly, the exclusion of patients without genotyping results is another limitation, and future endeavors with more financial support should aim to include more patients to obtain a more comprehensive understanding of the real-world population.</p>
<p>In conclusion, this study confirms the association between CBZ-induced SJS and <italic>HLA-B&#x2a;15:02</italic> in Vietnamese, particularly in the Southern population. Therefore, it is recommended to perform further studies about the cost-effectiveness of this test to accelerate the protection of Southern Vietnamese from SCARs.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s6">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by The Ethics Committee of NDGD Hospital, Ho Chi Minh City, Vietnam, under approval number 23-2015/CN-H&#x110;&#x110;&#x110;, on 13 October, 2015. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec id="s7">
<title>Author contributions</title>
<p>Conceived and designed the experiments: CS, HP; Collect demographic data, performed the experiment, and analyzed the data: QN, A-HN; Interpretated the finding: CS, HP, A-HN; Drafted the manuscript: A-HN; Adjusted the manuscript: HP, CS. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8">
<title>Funding</title>
<p>This study was funded by Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam.</p>
</sec>
<ack>
<p>The author would like to show gratitude to the clinical pharmacists and administrative staff of Nhan dan Gia Dinh Hospital for their support.</p>
</ack>
<sec sec-type="COI-statement" id="s9">
<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="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>
<sec id="s11">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fphar.2023.1217516/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2023.1217516/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.XLSX" id="SM1" mimetype="application/XLSX" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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