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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="doi">10.3389/fphar.2017.00090</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><italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> Allele Is Associated with Concomitant Anti-tuberculosis and Antiretroviral Drugs Induced Liver Toxicity in Ethiopians</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Petros</surname> <given-names>Zelalem</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/394077/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Kishikawa</surname> <given-names>Junko</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/396220/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Makonnen</surname> <given-names>Eyasu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/337437/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Yimer</surname> <given-names>Getnet</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/344666/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Habtewold</surname> <given-names>Abiy</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/414957/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Aklillu</surname> <given-names>Eleni</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/16961/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Pharmacology, School of Medicine, College of Health Sciences, Addis Ababa University</institution> <country>Addis Ababa, Ethiopia</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Laboratory Medicine, Karolinska Institutet-Karolinska University Hospital</institution> <country>Stockholm, Sweden</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Amit V. Pandey, University of Bern, Switzerland</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Ann K. Daly, Newcastle University, UK; Collet Dandara, University of Cape Town, South Africa</p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x0002A;Correspondence: Eleni Aklillu <email>eleni.aklillu&#x00040;ki.se</email></p></fn>
<fn fn-type="other" id="fn002"><p>This article was submitted to Pharmacogenetics and Pharmacogenomics, a section of the journal Frontiers in Pharmacology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>27</day>
<month>02</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>8</volume>
<elocation-id>90</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>11</month>
<year>2016</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>02</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2017 Petros, Kishikawa, Makonnen, Yimer, Habtewold and Aklillu.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Petros, Kishikawa, Makonnen, Yimer, Habtewold and Aklillu</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) or licensor 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>Drug-induced liver injury (DILI) is a known adverse effect of both anti-tuberculosis (anti-TB) and antiretroviral (ARV) drugs. Recent studies highlight the implications of genetic predispositions to DILI. We performed a case-control study to identify Human Leukocyte Antigen-B (HLA-B) variant alleles associated with anti-TB and ARV co-treatment induced liver toxicity in Ethiopian TB and HIV co-infected patients. A total of 495 newly diagnosed TB and HIV co-infected patients were enrolled and received rifampicin based anti-TB and efavirenz based ARV therapy. Change in liver enzyme level from baseline was monitored 1st, 2nd, 4th, 8th, 12th, and 24th weeks after treatment initiation to identify patients who developed DILI (cases) and those who did not (treatment tolerants). Genomic DNA from 46 cases and 46 sex and age matched treatment tolerants were genotyped for HLA-B variant alleles using Olerup SSP&#x000AE;HLA-B DNA Typing Kits. The proportion of <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> allele carriers in DILI cases (37.0%), particularly in those who developed cholestatic type of DILI (44.8%) was significantly higher compared with those who tolerated the treatment (2.2%). The <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> allele frequency was significantly higher in cases (25%) than treatment tolerants (1.1%). In a multivariate logistic analysis, the proportion of patients carrying <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> (<italic>P</italic> &#x0003D; 0.002) and <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>14</italic> (<italic>P</italic> &#x0003D; 0.014) alleles were significantly higher in DILI cases compared with treatment tolerants. <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> was significantly associated with cholestatic (<italic>P</italic> &#x0003D; 0.001) and mixed (<italic>P</italic> &#x0003D; 0.017) types of liver toxicity, and mild-to-moderate severity (<italic>P</italic> &#x0003D; 0.001). Of all <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> alleles detected, <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:03</italic> accounted 58.3% and <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:02</italic> accounted 41.7%. <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:01</italic> was not detected. The variant allele frequencies of <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:03</italic> (15.2 vs. 0%) and <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:02</italic> (9.8 vs. 1.1%) were significantly higher in the DILI cases than treatment tolerants (<italic>P</italic> &#x0003C; 0.03). We conclude that <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> alleles (<italic>B</italic><sup>&#x0002A;</sup><italic>57:03</italic> and <italic>B</italic><sup>&#x0002A;</sup><italic>57:02</italic>) confer susceptibility to the development of anti-TB and ARV drugs co-treatment induced liver toxicity, which is mainly of cholestatic type. The possible association of <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>14</italic> with anti-TB and ARV drugs co-treatment induced liver toxicity requires further investigations.</p>
</abstract>
<kwd-group>
<kwd>antiretroviral drugs</kwd>
<kwd>anti-tuberculosis</kwd>
<kwd>drug induced hepatotoxicity</kwd>
<kwd>DILI</kwd>
<kwd>Ethiopian</kwd>
<kwd>HIV</kwd>
<kwd>HLA</kwd>
<kwd><italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic></kwd>
</kwd-group>
<contract-num rid="cn001">CG_TA.05.40204_005</contract-num>
<contract-num rid="cn002">2015-03295</contract-num>
<contract-sponsor id="cn001">European and Developing Countries Clinical Trials Partnership<named-content content-type="fundref-id">10.13039/501100001713</named-content></contract-sponsor>
<contract-sponsor id="cn002">Vetenskapsr&#x000E5;det<named-content content-type="fundref-id">10.13039/501100004359</named-content></contract-sponsor>
<counts>
<fig-count count="0"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="49"/>
<page-count count="9"/>
<word-count count="7392"/>
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</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Tuberculosis (TB) is the most common opportunistic infection associated with human immunodeficiency virus (HIV) infection, and co-treatment of the two diseases is recommended (Harries et al., <xref ref-type="bibr" rid="B20">2009</xref>). However, simultaneous treatment of TB and HIV infections is challenging due to drug interactions and overlapping toxicities (Cohen and Meintjes, <xref ref-type="bibr" rid="B10">2010</xref>). Antiretroviral (ARV) and anti-tuberculosis (anti-TB) Drugs-induced liver injury (DILI) is a common adverse event, which can be fatal if therapy is not interrupted or changed on time (Devarbhavi et al., <xref ref-type="bibr" rid="B15">2013</xref>; Naidoo et al., <xref ref-type="bibr" rid="B36">2015</xref>; Shamanna et al., <xref ref-type="bibr" rid="B42">2016</xref>). TB-HIV co-infected patients on anti-TB and ARV co-therapy are at a higher risk of developing DILI than TB or HIV only infected patients receiving monotherapy (Yimer et al., <xref ref-type="bibr" rid="B49">2011</xref>, <xref ref-type="bibr" rid="B48">2014</xref>; Mugusi et al., <xref ref-type="bibr" rid="B35">2012</xref>). A recent study in TB/HIV patients on anti-TB and antiretroviral therapy (ART) with high levels of immune activation demonstrated impaired isoniazid clearance, implicating the need for exploring immune response and the risk of DILI (Vinnard et al., <xref ref-type="bibr" rid="B45">2016</xref>). Up to 32% of HIV patients on ART discontinue their treatment or switch therapy mainly due to DILI (Bica et al., <xref ref-type="bibr" rid="B8">2001</xref>), and genetic predisposition contributes partly (Lubomirov et al., <xref ref-type="bibr" rid="B31">2011</xref>). Treatment interruption may increase the risk for developing of multidrug-resistant TB (MDR-TB) and HIV/AIDS (Hirpa et al., <xref ref-type="bibr" rid="B23">2013</xref>). Thus, identifying genetic markers for drug-induced liver toxicity is valuable to identify high-risk patients and to introduce appropriate measures.</p>
<p>Both HIV and TB remain a major problem and co-infection is common in most Sub-Saharan African (SSA) countries including Ethiopia, the second most densely populated country in Africa with an estimated population size of 100 million. Ethiopia is listed among the top 20 high-TB burden countries globally, and one of the high MDR-TB burden countries (Biadglegne et al., <xref ref-type="bibr" rid="B7">2014</xref>; World-Health-Organization, <xref ref-type="bibr" rid="B46">2016</xref>). The rate of new HIV infection in Ethiopia is declining with the estimated number of people living with HIV being 769, 600 in 2014 (World-Health-Organization<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref>). The scale of ART is increasing in the country as part achieving the UNAID/WHO &#x0201C;90-90-90&#x0201D; target: to diagnose 90% of all HIV positive people, provide ART for 90% of those diagnosed and achieve viral suppression for 90% of those treated, by 2020 (UNAIDS, <xref ref-type="bibr" rid="B44">2014</xref>). ART and anti-TB drug-induced liver toxicity is a common problem in Ethiopia causing treatment discontinuation and hence MDR-TB (Hirpa et al., <xref ref-type="bibr" rid="B23">2013</xref>; Yimer et al., <xref ref-type="bibr" rid="B48">2014</xref>).</p>
<p>Genetic variations in HLA gene is implicated with susceptibility to T-cell mediated adverse events to a wide range of pharmaceuticals making it a candidate gene relevant to pharmacogenetic studies (Barbarino et al., <xref ref-type="bibr" rid="B6">2015</xref>). HLA alleles that are reported to be association with increased risk of idiosyncratic DILI include: HLA-<italic>DQB1</italic><sup>&#x0002A;</sup><italic>02:01</italic> and <italic>DQB1</italic><sup>&#x0002A;</sup><italic>05</italic> to anti-TB drugs (Sharma et al., <xref ref-type="bibr" rid="B43">2002</xref>; Chen et al., <xref ref-type="bibr" rid="B9">2015</xref>), and <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>58:01</italic> and <italic>DRB1</italic><sup>&#x0002A;</sup><italic>01:02</italic> to nevirapine-containing ARV regimens (Phillips et al., <xref ref-type="bibr" rid="B40">2013</xref>). <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:01</italic> and <italic>A</italic><sup>&#x0002A;</sup><italic>33:03</italic> variant alleles were also reported as genetic markers for idiosyncratic liver injury induced by flucloxacillin (Daly et al., <xref ref-type="bibr" rid="B13">2009</xref>) and ticlopidine (Hirata et al., <xref ref-type="bibr" rid="B22">2008</xref>) respectively. Susceptibility to amoxicillin-clavulanate-induced liver injury is influenced by multiple HLA class I and II alleles (Lucena et al., <xref ref-type="bibr" rid="B32">2011</xref>). A large genome-wide association study found a strong association of amoxicillin-clavulanate induced liver injury with <italic>HLA-A</italic><sup>&#x0002A;</sup><italic>02:01</italic>, HLA-DQB1<sup>&#x0002A;</sup>06:02, and <italic>DRB1</italic><sup>&#x0002A;</sup><italic>15:01</italic> variant alleles (Lucena et al., <xref ref-type="bibr" rid="B32">2011</xref>). Genetic screening for <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:01</italic> and subsequent treatment modifications have been shown to reduce incidence of life-threatening hypersensitivity to abacavir in HIV/AIDS patients carrying the allele (Hughes et al., <xref ref-type="bibr" rid="B24">2008</xref>; Mallal et al., <xref ref-type="bibr" rid="B33">2008</xref>) and <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>15:02</italic> to carbamazepine in Southeast Asian carriers (Amstutz et al., <xref ref-type="bibr" rid="B3">2014</xref>).</p>
<p>Most previous reports investigating genetic risk factors for anti-TB and ARV drugs-induced liver toxicity focused on drug metabolizing enzymes and transporter proteins (Lee et al., <xref ref-type="bibr" rid="B29">2010</xref>; Yimer et al., <xref ref-type="bibr" rid="B49">2011</xref>, <xref ref-type="bibr" rid="B47">2012</xref>). Previously we reported the association of high efavirenz plasma concentration and <italic>CYP2B6</italic><sup>&#x0002A;</sup><italic>6</italic> genotype with DILI in TB-HIV patients (Yimer et al., <xref ref-type="bibr" rid="B49">2011</xref>, <xref ref-type="bibr" rid="B47">2012</xref>; Mugusi et al., <xref ref-type="bibr" rid="B35">2012</xref>). However, only a few studies have explored the association of HLA genes with anti-TB or ARV drugs-induced liver toxicity. Therefore, in this study, we aimed to investigate the possible associations between HLA-B alleles, and anti-TB and ARV drugs co-treatment induced liver injury in TB and HIV co-infected patients in Ethiopia.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Study design and participants</title>
<p>Using a case-control comparative study design, we analyzed data from newly diagnosed TB and HIV co-infected patients, who were enrolled and followed up prospectively to identify the incidence, the pattern, and severity of anti-TB and ARV drugs-induced liver toxicity in Ethiopian patients (Yimer et al., <xref ref-type="bibr" rid="B48">2014</xref>). In brief, 495 TB and HIV co-infected patients with CD4 count &#x02264; 200 cells/mm<sup>3</sup> were recruited from three health institutions: Kazanchis and Beletshachew health centers, and Tikur Anbessa Specialized Hospital in Addis Ababa, Ethiopia, from June 2007 to June 2012. The inclusion criteria were TB and HIV co-infected men and non-pregnant women with age 18 years old and above. Patients were excluded if they had a history of prior treatment for TB/HIV or known pre-existing liver disease.</p>
<p>The study protocol was approved by the Institutional Review Board of College of Health Sciences, Addis Ababa University, the National Research Ethics Review Committee of Ethiopia, and Ethical Review Board of Karolinska Institutet, Sweden. Written informed consent was obtained from all the study participants in accordance with the Declaration of Helsinki.</p>
</sec>
<sec>
<title>Drug treatment</title>
<p>All the study participants received first line ARV drugs containing efavirenz and lamivudine with tenofovir, zidovudine, or stavudine. A short-course anti-TB regimen consisting of rifampicin, isoniazid, pyrazinamide, and ethambutol for the first 2 months followed by rifampicin and isoniazid for the next 4 months was given. The patients did not receive other known hepatotoxic drugs concurrently, except co-trimoxazole prophylaxis that was given for TB and HIV co-infected patients according to the National Treatment Guideline. Change in liver enzymes levels from baseline was monitored on the 1st, 2nd, 4th, 8th, 12th, and 24th weeks after initiation of treatment.</p>
</sec>
<sec>
<title>Case definitions, severity grade, and pattern of liver toxicity</title>
<p>The criteria set by the International DILI Expert Working Group were used for DILI case definitions and pattern of liver injury determination (Aithal et al., <xref ref-type="bibr" rid="B1">2011</xref>). The upper limit of normal (ULN) for liver enzymes used for the study population were alanine aminotransferase (ALT 33 U/L for male; 29 U/L for female), aspartate aminotransferase (AST, 41 U/L), alkaline phosphatase (ALP, 128 U/L), and 1.0 mg/dL for total bilirubin (Yimer et al., <xref ref-type="bibr" rid="B48">2014</xref>). All cases recruited met at least one of the following criteria: (1) ALT &#x02265; 5xULN, (2) ALP &#x02265; 2xULN, or (3) ALT &#x02265; 3xULN along with total bilirubin (T Bil) &#x02265; 2xULN. Treatment tolerants (controls) were individuals who were on anti-TB and ARV drugs co-treatment but did not fulfill the case definitions for DILI and had not presented with clinical signs and symptoms consistent with DILI in the follow-up period.</p>
<p>The pattern of liver toxicity was defined using <italic>R</italic>-value, where <italic>R</italic> &#x0003D; (ALT/ULN)/(ALP/ULN). Cases were categorized as hepatocellular (<italic>R</italic> &#x02265; 5), cholestatic (<italic>R</italic> &#x02264; 2), or mixed (2 &#x0003C; <italic>R</italic> &#x0003C; 5) pattern of DILI. Clinical severity grading was determined by employing the highest measured values for each of the biochemical parameters (Yimer et al., <xref ref-type="bibr" rid="B48">2014</xref>). Patients with grades one and two severities were grouped together into a &#x0201C;mild-to-moderate&#x0201D; group and those with grades three and four into a &#x0201C;severe&#x0201D; group. Causality assessment for DILI was performed using Roussel Uclaf Causality Assessment Method (RUCAM; Danan and Benichou, <xref ref-type="bibr" rid="B14">1993</xref>).</p>
<p>Among the 495 TB and HIV co-infected patients involved in the initial cohort, 120 experienced DILI in the follow-up period (Yimer et al., <xref ref-type="bibr" rid="B48">2014</xref>). Of these, 80 cases and 275 treatment tolerants had adequate DNA available for further analysis. After excluding patients that had abnormal liver biochemistry prior to starting treatment, or patients who had serological test positive for either hepatitis B virus surface antigen or anti-hepatitis C virus antibody, 46 cases and 46 treatment tolerants that have complete clinical data and matched with respect to gender and age in a 1:1 ratio were used for the current study.</p>
</sec>
<sec>
<title>HLA-B genotyping</title>
<p>Genomic DNA was isolated from peripheral blood using QIAamp DNA Maxi Kit (QIAGEN GmbH. Hilden. Germany). We first screened for HLA-B variant alleles using a low-resolution (two digits) genotyping. HLA-B genotyping was performed using low-resolution Olerup SSP&#x000AE;HLA-B Typing Kit (Olerup SSP AB, Franzengatan 5, SE-112 51 Stockholm, Sweden). Allele-specific polymerase chain reaction (PCR), using sequence-specific primers was done according to the protocol and recommendations of the manufacturer. The amplified PCR products were analyzed using 2% agarose gel, and the HLA-B allele types were determined using HELMBERG-SCORE software. Low-resolution typing results were recorded with the 2-digit code to ensure a uniform level of HLA resolution for the alleles.</p>
<p>As a next step, high resolution (four digits) typing were done for HLA-B variant alleles that showed significant association with DILI based on the low-resolution genotyping data. HLA-B<sup>&#x0002A;</sup>57 exhibited a significant association with DILI, and high-resolution subtyping was performed for all <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> allele carriers using Olerup SSP&#x000AE;<italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:01</italic> Typing Kit (Olerup SSP AB, Franzengatan5, SE-112 51 Stockholm, Sweden) according to the protocol and recommendations of the manufacturer.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Continuous variables were presented by a mean and standard deviation, and categorical variables as numbers and percentages. Univariate logistic regression analysis was used to identify potential independent risk factors for anti-TB and ARV drugs co-treatment induced liver toxicity. Variables with <italic>P</italic> &#x0003C; 0.1 in the univariate analysis were included in a multivariate logistic analysis. The strength of the associations was estimated by calculating the odds ratio (OR) and 95% confidence interval (CI). Fisher&#x00027;s exact test was used for HLA-B alleles with &#x0003C;5 expected cell count in a 2 &#x000D7; 2 table. To reduce bias in estimating the OR, Haldane&#x00027;s modification was employed (Haldane, <xref ref-type="bibr" rid="B19">1956</xref>) i.e., whenever a zero-count cell was encountered, 0.5 was added to all cells in the 2 &#x000D7; 2 table. <italic>P</italic> &#x0003C; 0.05 were considered statistically significant. The corrected <italic>P</italic>-values (<italic>Pc</italic>) were adjusted by using Bonferroni&#x00027;s correction for multiple comparisons (18 tests) to account for the number of HLA-B alleles observed in the study participants. The statistical analysis was performed using IBM SPSS Statistics for Windows, Version 20.0 (IBM Corp., Armonk, NY, USA).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>A total of 92 TB and HIV co-infected patients on anti-TB and ARV drugs co-treatment were involved in this study; 46 treatment induced liver toxicity cases and 46 sex and age matched treatment tolerants. The demographics and clinical characteristics of the study participants are described in Table <xref ref-type="table" rid="T1">1</xref>.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p><bold>Demographics and clinical characteristics of the study participants</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Characteristics</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;"><bold>Cases</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;"><bold>Treatment tolerants</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Univariate analysis</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Multivariate analysis</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>(<italic>N</italic> &#x0003D; 46)</bold></th>
<th valign="top" align="center"><bold>(<italic>N</italic> &#x0003D; 46)</bold></th>
<th valign="top" align="center"><italic><bold>P</bold></italic></th>
<th valign="top" align="center"><bold>OR (95% CI)</bold></th>
<th valign="top" align="center"><italic><bold>P</bold></italic></th>
<th valign="top" align="center"><bold>OR (95% CI)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Sex (M/F)</td>
<td valign="top" align="center">22/24</td>
<td valign="top" align="center">22/24</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">1.00 (0.44&#x02013;2.27)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Age (yrs), mean (<italic>SD</italic>)</td>
<td valign="top" align="center">35.4 (9.3)</td>
<td valign="top" align="center">35.3 (8.7)</td>
<td valign="top" align="center">0.95</td>
<td valign="top" align="center">0.99 (0.95&#x02013;1.05)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">BMI (kg/m<sup>2</sup>), mean (<italic>SD</italic>)</td>
<td valign="top" align="center">18.4 (2.4)</td>
<td valign="top" align="center">19.1 (3.5)</td>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center">1.09 (0.94&#x02013;1.26)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">CD4 count (per mm<sup>3</sup>), mean (<italic>SD</italic>)</td>
<td valign="top" align="center">69.3 (48.7)</td>
<td valign="top" align="center">94.2 (51.4)</td>
<td valign="top" align="center"><bold>0.02</bold></td>
<td valign="top" align="center">1.01 (1.01&#x02013;1.02)</td>
<td valign="top" align="center"><bold>0.03</bold></td>
<td valign="top" align="center">1.01 (1.00-1.02)</td>
</tr>
<tr>
<td valign="top" align="left">Viral load (copies/ml), log mean (<italic>SD</italic>)</td>
<td valign="top" align="center">5.3 (1.0)</td>
<td valign="top" align="center">5.0 (1.0)</td>
<td valign="top" align="center">0.20</td>
<td valign="top" align="center">0.72 (0.44&#x02013;1.19)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Karnofsky score</td>
<td valign="top" align="center">82.8 (13.6)</td>
<td valign="top" align="center">88.7 (13.4)</td>
<td valign="top" align="center"><bold>0.04</bold></td>
<td valign="top" align="center">1.03 (1.00&#x02013;1.07)</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">1.03 (0.99&#x02013;1.07)</td>
</tr>
<tr style="background-color:#bbbdc0">
<td valign="top" align="left" colspan="7"><bold>LFT VALUES, MEAN (</bold><italic><bold>SD</bold></italic><bold>)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Baseline ALT (U/L)</td>
<td valign="top" align="center">25.5 (9.8)</td>
<td valign="top" align="center">27.8 (8.3)</td>
<td valign="top" align="center">0.22</td>
<td valign="top" align="center">1.03 (0.98&#x02013;1.08)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Baseline AST (U/L)</td>
<td valign="top" align="center">32.7 (10.3)</td>
<td valign="top" align="center">31.9 (9.6)</td>
<td valign="top" align="center">0.70</td>
<td valign="top" align="center">0.99 (0.95&#x02013;1.03)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Baseline ALP (U/L)</td>
<td valign="top" align="center">99.5 (19.3)</td>
<td valign="top" align="center">104.3 (19.3)</td>
<td valign="top" align="center">0.23</td>
<td valign="top" align="center">1.01 (0.99&#x02013;1.04)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Baseline TBil (mg/dL)</td>
<td valign="top" align="center">0.7 (0.5)</td>
<td valign="top" align="center">0.7 (0.4)</td>
<td valign="top" align="center">0.71</td>
<td valign="top" align="center">0.84 (0.34&#x02013;2.10)</td>
<td/>
<td/>
</tr>
<tr style="background-color:#bbbdc0">
<td valign="top" align="left" colspan="7"><bold>ARV REGIMEN</bold>, <italic><bold>N</bold></italic> <bold>(%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">TDF/3TC/EFV</td>
<td valign="top" align="center">15 (32.6)</td>
<td valign="top" align="center">12 (26.1)</td>
<td valign="top" align="center">0.49</td>
<td valign="top" align="center">1.37 (0.56&#x02013;3.38)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">ZDV/3TC/EFV</td>
<td valign="top" align="center">16 (34.8)</td>
<td valign="top" align="center">16 (34.8)</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">1.00 (0.42&#x02013;2.36)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">D4T/3TC/EFV</td>
<td valign="top" align="center">15 (32.6)</td>
<td valign="top" align="center">18 (39.1)</td>
<td valign="top" align="center">0.52</td>
<td valign="top" align="center">0.75 (0.32&#x02013;1.78)</td>
<td/>
<td/>
</tr>
<tr style="background-color:#bbbdc0">
<td valign="top" align="left" colspan="7"><bold>PATTERN OF LIVER INJURY, <italic><bold>N</bold></italic> (%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Cholestatic</td>
<td valign="top" align="center">29 (63.0)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Hepatocellular</td>
<td valign="top" align="center">2 (4.4)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Mixed</td>
<td valign="top" align="center">15 (32.6)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr style="background-color:#bbbdc0">
<td valign="top" align="left" colspan="7"><bold>SEVERITY GRADE, <italic><bold>N</bold></italic> (%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Mild-to-moderate</td>
<td valign="top" align="center">39 (84.8)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Severe</td>
<td valign="top" align="center">7 (15.2)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr style="background-color:#bbbdc0">
<td valign="top" align="left" colspan="7"><bold>RUCAM SCALE, <italic><bold>N</bold></italic> (%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Definite (score &#x0003E; 8)</td>
<td valign="top" align="center">30 (65.2)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Probable (score 6&#x02013;8)</td>
<td valign="top" align="center">12 (26.1)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Possible (score 3&#x02013;5)</td>
<td valign="top" align="center">4 (8.7)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>3TC, Lamivudine; ALP, Alkaline phosphatase; ALT, Alanine aminotransferase; ARV, Antiretroviral; AST, Aspartate aminotransferase; BMI, Body mass index; CI, Confidence Interval; D4T, Stavudine; EFV, Efavirenz; HIV, Human immunodeficiency virus; LFT, Liver function test; OR, Odds ratio; RUCAM, Roussel Uclaf Causality Assessment Method; SD, Standard deviation; T Bil, Total bilirubin; TB, Tuberculosis; TDF, Tenofovir; ZDV, Zidovudine. P-value &#x0003C; 0.05 is highlighted in bold</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>In the univariate analysis, there were statistically significant differences in the CD4 count and Karnofsky score between DILI cases and treatment tolerants (<italic>P</italic> &#x0003C; 0.05). In a multivariate logistic analysis, baseline CD4 count remained as significant predictors of anti-TB and ARV drugs co-treatment induced liver injury. There were no statistically significant differences in the baseline liver enzyme levels and type of ARV regimens used between the DILI cases and treatment tolerants. More than half of the DILI cases developed the cholestatic type of liver toxicity, and 85% of the cases had mild-to-moderate severity of liver toxicity. All of the cases had a minimum score of three (&#x0201C;possible&#x0201D;) in RUCAM scoring system for DILI.</p>
<p><italic>HLA-B</italic> genotype result from the low resolution typing for each study participant is presented in Supplementary Table <xref ref-type="supplementary-material" rid="SM1">1</xref>. Comparison of <italic>HLA-B</italic> allele carriers&#x00027; proportions between patients who developed DILI vs. treatment tolerants is presented in Table <xref ref-type="table" rid="T2">2</xref>. A total of 18 <italic>HLA-B</italic> variant alleles were detected (Table <xref ref-type="table" rid="T2">2</xref>). In the univariate analysis, the proportion of <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> and <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>14</italic> alleles carriers were significantly higher in DILI cases than treatment tolerants. Association of being a carrier of <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> with increased risk for DILI remained significant after correction for multiple testing. On the other hand, <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>41</italic> was negatively associated with DILI. The multivariate logistic analysis retained <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> and <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>14</italic> as significant predictors of concomitant anti-TB and ARV drugs induced liver injury. For <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic>, the association maintained after correcting for multiple comparisons (<italic>Pc</italic> &#x0003D; 0.036).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p><bold>Comparison of proportion of <italic><bold>HLA-B</bold></italic> allele carriers between patients who developed ARV and anti-tuberculosis drugs induced liver injury (cases) and patients who did not (treatment tolerants)</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>HLA-B alleles</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;"><bold>DILI cases (<italic>N</italic> &#x0003D; 46)</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;"><bold>Treatment tolerants (<italic>N</italic> &#x0003D; 46)</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Univariate analysis</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Multivariate analysis</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><italic><bold>N</bold></italic> <bold>(%)</bold></th>
<th valign="top" align="center"><italic><bold>N</bold></italic> <bold>(%)</bold></th>
<th valign="top" align="center"><italic><bold>P</bold></italic></th>
<th valign="top" align="center"><italic><bold>Pc</bold></italic></th>
<th valign="top" align="center"><bold>OR (95% CI)</bold></th>
<th valign="top" align="center"><italic><bold>P</bold></italic></th>
<th valign="top" align="center"><bold>OR (95% CI)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>B<sup>&#x0002A;</sup>57</italic></td>
<td valign="top" align="center">17 (37.0%)</td>
<td valign="top" align="center">1 (2.2%)</td>
<td valign="top" align="center"><bold>0.002</bold></td>
<td valign="top" align="center"><bold>0.036</bold></td>
<td valign="top" align="center">26.38 (3.33&#x02013;209.07)</td>
<td valign="top" align="center"><bold>0.002</bold></td>
<td valign="top" align="center">30.08 (3.44&#x02013;263.11)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>B<sup>&#x0002A;</sup>14</italic></td>
<td valign="top" align="center">10 (21.7%)</td>
<td valign="top" align="center">3 (6.5%)</td>
<td valign="top" align="center"><bold>0.047</bold></td>
<td valign="top" align="center">0.845</td>
<td valign="top" align="center">3.98 (1.02&#x02013;15.58)</td>
<td valign="top" align="center"><bold>0.014</bold></td>
<td valign="top" align="center">7.51 (1.50&#x02013;37.68)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>B<sup>&#x0002A;</sup>41</italic></td>
<td valign="top" align="center">3 (6.5%)</td>
<td valign="top" align="center">10 (21.7%)</td>
<td valign="top" align="center"><bold>0.047</bold></td>
<td valign="top" align="center">0.845</td>
<td valign="top" align="center">0.25 (0.06&#x02013;0.98)</td>
<td valign="top" align="center">0.112</td>
<td valign="top" align="center">0.26 (0.05&#x02013;1.37)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>B<sup>&#x0002A;</sup>15</italic></td>
<td valign="top" align="center">8 (17.4%)</td>
<td valign="top" align="center">16 (34.8%)</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">1.000</td>
<td valign="top" align="center">0.40 (0.15&#x02013;1.05)</td>
<td valign="top" align="center">0.526</td>
<td valign="top" align="center">0.68 (0.21&#x02013;2.23)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>B<sup>&#x0002A;</sup>08</italic></td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">4 (8.7%)</td>
<td valign="top" align="center">0.12</td>
<td/>
<td valign="top" align="center">1.48 (0.01&#x02013;1.94)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>B<sup>&#x0002A;</sup>18</italic></td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">3 (6.5%)</td>
<td valign="top" align="center">0.24</td>
<td/>
<td valign="top" align="center">0.13 (0.01&#x02013;2.66)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>B<sup>&#x0002A;</sup>44</italic></td>
<td valign="top" align="center">2 (4.3%)</td>
<td valign="top" align="center">5 (10.9%)</td>
<td valign="top" align="center">0.25</td>
<td/>
<td valign="top" align="center">0.37 (0.07&#x02013;2.03)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>B<sup>&#x0002A;</sup>13</italic></td>
<td valign="top" align="center">5 (10.9%)</td>
<td valign="top" align="center">8 (17.4%)</td>
<td valign="top" align="center">0.37</td>
<td/>
<td valign="top" align="center">0.58 (0.17&#x02013;1.93)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>B<sup>&#x0002A;</sup>58</italic></td>
<td valign="top" align="center">4 (8.7%)</td>
<td valign="top" align="center">2 (4.3%)</td>
<td valign="top" align="center">0.41</td>
<td/>
<td valign="top" align="center">2.10 (0.36&#x02013;12.05)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>B<sup>&#x0002A;</sup>51</italic></td>
<td valign="top" align="center">6 (13.0%)</td>
<td valign="top" align="center">4 (8.7%)</td>
<td valign="top" align="center">0.50</td>
<td/>
<td valign="top" align="center">1.58 (0.41&#x02013;6.00)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>B<sup>&#x0002A;</sup>53</italic></td>
<td valign="top" align="center">4 (8.7%)</td>
<td valign="top" align="center">3 (6.5%)</td>
<td valign="top" align="center">0.70</td>
<td/>
<td valign="top" align="center">1.37 (0.29&#x02013;6.47)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>B<sup>&#x0002A;</sup>07</italic></td>
<td valign="top" align="center">10 (21.7%)</td>
<td valign="top" align="center">9 (19.6%)</td>
<td valign="top" align="center">0.80</td>
<td/>
<td valign="top" align="center">1.14 (0.42&#x02013;3.14)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>B<sup>&#x0002A;</sup>49</italic></td>
<td valign="top" align="center">10 (21.7%)</td>
<td valign="top" align="center">10 (21.7%)</td>
<td valign="top" align="center">1.00</td>
<td/>
<td valign="top" align="center">1.00 (0.37&#x02013;2.69)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>B<sup>&#x0002A;</sup>35</italic></td>
<td valign="top" align="center">1 (2.2%)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1.00</td>
<td/>
<td valign="top" align="center">3.07 (0.12&#x02013;77.25)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>B<sup>&#x0002A;</sup>37, <sup>&#x0002A;</sup>39, <sup>&#x0002A;</sup>50, <sup>&#x0002A;</sup>73</italic></td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">2 (4.3%)</td>
<td valign="top" align="center">0.50</td>
<td/>
<td valign="top" align="center">0.19 (0.01&#x02013;4.10)<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN1">
<label>&#x0002A;</label>
<p><italic>Haldane&#x00027;s modification</italic>.</p></fn>
<p><italic>ARV, Antiretroviral; CI, Confidence Interval; HLA, Human Leukocyte Antigen; OR, Odds ratio; TB, Tuberculosis</italic>.</p>
<p><italic>P, P-values were calculated by Fisher&#x00027;s exact test comparing the positive alleles in cases with those of treatment tolerants</italic>.</p>
<p><italic>Pc, Corrected P-values were adjusted by using Bonferroni&#x00027;s correction for multiple comparisons to account for the observed 18 HLA-B alleles. P-value &#x0003C; 0.05 is highlighted in bold</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>Associations between <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57, HLA-B</italic><sup>&#x0002A;</sup><italic>14</italic>, and <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>41</italic> with the pattern and severity of liver toxicity was evaluated by comparing the proportion of allele carriers between DILI cases and treatment tolerants (Table <xref ref-type="table" rid="T3">3</xref>). Compared with treatment tolerants, the proportion of <italic>HLA-B</italic><sup>&#x0002A;</sup>57 allele carriers were significantly higher in cholestatic and mixed types of DILI. In addition, the proportion of <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>14</italic> allele carriers were higher in the mixed type of DILI cases than the treatment tolerants. There were no statistically significant differences in the hepatocellular type of DILI. Compared with treatment tolerants, the proportion of patients carrying <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> allele was significantly higher in the mild-to-moderate DILI group, and those carrying <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>14</italic> in the severe DILI group were over-represented. There was a statistically significant difference in the proportion of <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>41</italic> allele carriers in the mild-to-moderate DILI group compared with treatment tolerants.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p><bold>Association of HLA-B alleles with the pattern and severity of drug-induced liver injury</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Characteristics</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><italic><bold>HLA-B</bold></italic><sup><bold>&#x0002A;</bold></sup><italic><bold>57</bold></italic> <bold>carriers</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><italic><bold>HLA-B</bold><sup><bold>&#x0002A;</bold></sup><bold>14</bold></italic> <bold>carriers</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><italic><bold>HLA-B</bold></italic><sup>&#x0002A;</sup><italic><bold>41</bold></italic> <bold>carriers</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><italic><bold>N</bold></italic> <bold>(%)</bold></th>
<th valign="top" align="center"><italic><bold>P</bold></italic></th>
<th valign="top" align="center"><bold>OR (95% CI)</bold></th>
<th valign="top" align="center"><italic><bold>N</bold></italic> <bold>(%)</bold></th>
<th valign="top" align="center"><italic><bold>P</bold></italic></th>
<th valign="top" align="center"><bold>OR (95% CI)</bold></th>
<th valign="top" align="center"><italic><bold>N</bold></italic> <bold>(%)</bold></th>
<th valign="top" align="center"><italic><bold>P</bold></italic></th>
<th valign="top" align="center"><bold>OR (95% CI)</bold></th>
</tr>
</thead>
<tbody>
<tr style="background-color:#bbbdc0">
<td valign="top" align="left" colspan="10"><bold>DILI PATTERN</bold></td>
</tr>
<tr>
<td valign="top" align="left">Treatment tolerants (<italic>n</italic> &#x0003D; 46)</td>
<td valign="top" align="center">1 (2.2)</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">3 (6.5)</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">10 (21.7)</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Cholestatic (<italic>n</italic> &#x0003D; 29)</td>
<td valign="top" align="center">13 (44.8)</td>
<td valign="top" align="center"><bold>0.001</bold></td>
<td valign="top" align="center">36.6 (4.4&#x02013;302.3)</td>
<td valign="top" align="center">5 (17.2)</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center">3.0 (0.7&#x02013;13.6)</td>
<td valign="top" align="center">2 (6.9)</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">0.3 (0.1&#x02013;1.3)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Hepatocellular (<italic>n</italic> &#x0003D; 2)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">6.1 (0.2&#x02013;190.1)<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">1 (50.0)</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">14.3(0.7&#x02013;29.4)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.7 (0.1&#x02013;15.6)<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Mixed (<italic>n</italic> &#x0003D; 15)</td>
<td valign="top" align="center">4 (26.7)</td>
<td valign="top" align="center"><bold>0.017</bold></td>
<td valign="top" align="center">16.4 (1.7&#x02013;161.3)</td>
<td valign="top" align="center">4 (26.7)</td>
<td valign="top" align="center"><bold>0.048</bold></td>
<td valign="top" align="center">5.2 (1.0&#x02013;26.8)</td>
<td valign="top" align="center">1 (6.7)</td>
<td valign="top" align="center">0.22</td>
<td valign="top" align="center">0.3 (0.1&#x02013;2.2)</td>
</tr>
<tr style="background-color:#bbbdc0">
<td valign="top" align="left" colspan="10"><bold>SEVERITY GRADE</bold></td>
</tr>
<tr>
<td valign="top" align="left">Mild-to-moderate (<italic>n</italic> &#x0003D; 39)</td>
<td valign="top" align="center">16 (41.0)</td>
<td valign="top" align="center"><bold>0.001</bold></td>
<td valign="top" align="center">31.3 (3.9&#x02013;251.0)</td>
<td valign="top" align="center">7 (17.9)</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">3.1(0.8&#x02013;13.1)</td>
<td valign="top" align="center">2 (5.1)</td>
<td valign="top" align="center"><bold>0.04</bold></td>
<td valign="top" align="center">0.2 (0.1&#x02013;1.0)</td>
</tr>
<tr>
<td valign="top" align="left">Severe (<italic>n</italic> &#x0003D; 7)</td>
<td valign="top" align="center">1 (14.3)</td>
<td valign="top" align="center">0.173</td>
<td valign="top" align="center">2.7 (0.6&#x02013;11.7)</td>
<td valign="top" align="center">3 (42.9)</td>
<td valign="top" align="center"><bold>0.01</bold></td>
<td valign="top" align="center">10.8 (1.6&#x02013;71.9)</td>
<td valign="top" align="center">1 (14.3)</td>
<td valign="top" align="center">0.65</td>
<td valign="top" align="center">0.6 (0.1&#x02013;5.6)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN2">
<label>&#x0002A;</label>
<p><italic>Haldane&#x00027;s modification</italic>.</p></fn>
<p><italic>CI, Confidence Interval; HLA, Human Leukocyte Antigen; OR, Odds ratio. P-value &#x0003C; 0.05 is highlighted in bold</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p><italic>HLA-B</italic> variant alleles that showed significant association with DILI from the low-resolution genotyping were further subjected to high resolution (four digit) testing to identify the sub-variant allele. The result from high resolution genotyping was interpreted in conjunction with the results from the prior low-resolution typing. <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> was the only variant allele that exhibited a significant association with DILI after correcting for multiple testing. Thus, high-resolution typing was done for all subjects who were genotyped as carriers of HLA-B<sup>&#x0002A;</sup>57 in the low-resolution typing (see Table <xref ref-type="table" rid="T4">4</xref>).</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p><bold>High resolution genotyping data for all <italic><bold>HLA-B</bold></italic><sup><bold>&#x0002A;</bold></sup><italic><bold>57</bold></italic> allele carriers stratified by DILI type</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Patient No</bold>.</th>
<th valign="top" align="center"><bold>Age</bold></th>
<th valign="top" align="center"><bold>Sex</bold></th>
<th valign="top" align="left"><bold>Status</bold></th>
<th valign="top" align="left"><bold>DILI type</bold></th>
<th valign="top" align="center"><bold>Allele 1</bold></th>
<th valign="top" align="center"><bold>Allele 2</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">F</td>
<td valign="top" align="left">Case</td>
<td valign="top" align="left">Cholestatic</td>
<td valign="top" align="center"><bold>B</bold><sup>&#x0002A;</sup><bold>57:03</bold></td>
<td valign="top" align="center"><bold>B</bold><sup>&#x0002A;</sup><bold>57:03</bold></td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">F</td>
<td valign="top" align="left">Case</td>
<td valign="top" align="left">Cholestatic</td>
<td valign="top" align="center"><bold>B</bold><sup>&#x0002A;</sup><bold>57:03</bold></td>
<td valign="top" align="center"><bold>B</bold><sup>&#x0002A;</sup><bold>57:03</bold></td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">M</td>
<td valign="top" align="left">Case</td>
<td valign="top" align="left">Cholestatic</td>
<td valign="top" align="center"><bold>B</bold><sup>&#x0002A;</sup><bold>57:03</bold></td>
<td valign="top" align="center"><bold>B</bold><sup>&#x0002A;</sup><bold>57:03</bold></td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">M</td>
<td valign="top" align="left">Case</td>
<td valign="top" align="left">Cholestatic</td>
<td valign="top" align="center"><bold>B</bold><sup>&#x0002A;</sup><bold>57:02</bold></td>
<td valign="top" align="center"><bold>B</bold><sup>&#x0002A;</sup><bold>57:02</bold></td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">F</td>
<td valign="top" align="left">Case</td>
<td valign="top" align="left">Cholestatic</td>
<td valign="top" align="center"><bold>B</bold><sup>&#x0002A;</sup><bold>57:03</bold></td>
<td valign="top" align="center">B<sup>&#x0002A;</sup>58:01</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">F</td>
<td valign="top" align="left">Case</td>
<td valign="top" align="left">Cholestatic</td>
<td valign="top" align="center"><bold>B</bold><sup>&#x0002A;</sup><bold>57:02</bold></td>
<td valign="top" align="center">B<sup>&#x0002A;</sup>51:08</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">F</td>
<td valign="top" align="left">Case</td>
<td valign="top" align="left">Cholestatic</td>
<td valign="top" align="center"><bold>B</bold><sup>&#x0002A;</sup><bold>57:03</bold></td>
<td valign="top" align="center">B<sup>&#x0002A;</sup>49:01</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">M</td>
<td valign="top" align="left">Case</td>
<td valign="top" align="left">Cholestatic</td>
<td valign="top" align="center"><bold>B</bold><sup>&#x0002A;</sup><bold>57:02</bold></td>
<td valign="top" align="center">B<sup>&#x0002A;</sup>39:12</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">F</td>
<td valign="top" align="left">Case</td>
<td valign="top" align="left">Cholestatic</td>
<td valign="top" align="center"><bold>B</bold><sup>&#x0002A;</sup><bold>57:02</bold></td>
<td valign="top" align="center">B<sup>&#x0002A;</sup>58:01</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">F</td>
<td valign="top" align="left">Case</td>
<td valign="top" align="left">Cholestatic</td>
<td valign="top" align="center"><bold>B</bold><sup>&#x0002A;</sup><bold>57:03</bold></td>
<td valign="top" align="center">B<sup>&#x0002A;</sup>53:01</td>
</tr>
<tr>
<td valign="top" align="left">11</td>
<td valign="top" align="center">60</td>
<td valign="top" align="center">M</td>
<td valign="top" align="left">Case</td>
<td valign="top" align="left">Cholestatic</td>
<td valign="top" align="center"><bold>B</bold><sup>&#x0002A;</sup><bold>57:03</bold></td>
<td valign="top" align="center">B<sup>&#x0002A;</sup>13:02</td>
</tr>
<tr>
<td valign="top" align="left">12</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">F</td>
<td valign="top" align="left">Case</td>
<td valign="top" align="left">Cholestatic</td>
<td valign="top" align="center"><bold>B</bold><sup>&#x0002A;</sup><bold>57:03</bold></td>
<td valign="top" align="center">B<sup>&#x0002A;</sup>53:01</td>
</tr>
<tr>
<td valign="top" align="left">13</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">F</td>
<td valign="top" align="left">Case</td>
<td valign="top" align="left">Cholestatic</td>
<td valign="top" align="center"><bold>B</bold><sup>&#x0002A;</sup><bold>57:02</bold></td>
<td valign="top" align="center">B<sup>&#x0002A;</sup>44:02</td>
</tr>
<tr>
<td valign="top" align="left">14</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">F</td>
<td valign="top" align="left">Case</td>
<td valign="top" align="left">Mixed</td>
<td valign="top" align="center"><bold>B</bold><sup>&#x0002A;</sup><bold>57:03</bold></td>
<td valign="top" align="center"><bold>B</bold><sup>&#x0002A;</sup><bold>57:03</bold></td>
</tr>
<tr>
<td valign="top" align="left">15</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">M</td>
<td valign="top" align="left">Case</td>
<td valign="top" align="left">Mixed</td>
<td valign="top" align="center"><bold>B</bold><sup>&#x0002A;</sup><bold>57:02</bold></td>
<td valign="top" align="center"><bold>B</bold><sup>&#x0002A;</sup><bold>57:02</bold></td>
</tr>
<tr>
<td valign="top" align="left">16</td>
<td valign="top" align="center">49</td>
<td valign="top" align="center">M</td>
<td valign="top" align="left">Case</td>
<td valign="top" align="left">Mixed</td>
<td valign="top" align="center"><bold>B</bold><sup>&#x0002A;</sup><bold>57:03</bold></td>
<td valign="top" align="center">B<sup>&#x0002A;</sup>58:01</td>
</tr>
<tr>
<td valign="top" align="left">17</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">F</td>
<td valign="top" align="left">Case</td>
<td valign="top" align="left">Mixed</td>
<td valign="top" align="center"><bold>B</bold><sup>&#x0002A;</sup><bold>57:02</bold></td>
<td valign="top" align="center">B<sup>&#x0002A;</sup>49:01</td>
</tr>
<tr>
<td valign="top" align="left">18</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">F</td>
<td valign="top" align="left">Control</td>
<td valign="top" align="left">Treatment tolerant</td>
<td valign="top" align="center"><bold>B</bold><sup>&#x0002A;</sup><bold>57:02</bold></td>
<td valign="top" align="center">B<sup>&#x0002A;</sup>41:02</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>DILI, Drug induced liver injury. B<sup>&#x0002A;</sup>57:02 and B<sup>&#x0002A;</sup>57:03 alleles are highlighted in bold</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>Of all <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> alleles identified, <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:03</italic> accounted 58.3% and <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:02</italic> accounted 41.7%. <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:01</italic> was not detected. Of the <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> allele carrier cases, 10 (58.8%) had <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:03</italic> (four homozygous) and the rest seven (41.2%) had <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:02</italic> (two homozygous). There was only one <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> allele carrier (heterozygous for <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:02)</italic> out of the 46 treatment-tolerants. The proportion of <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:03</italic> and <italic>B</italic><sup>&#x0002A;</sup><italic>57:02</italic> allele carriers were significantly higher in the DILI cases than treatment tolerants [<italic>P</italic> &#x0003D; 0.01, OR &#x0003D; 26.8 (1.5&#x02013;47.2) and <italic>P</italic> &#x0003D; 0.03, OR &#x0003D; 8.1 (1.0&#x02013;68.6)], respectively.</p>
<p>Comparisons of <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic>, <sup>&#x0002A;</sup><italic>14</italic>, and <sup>&#x0002A;</sup><italic>41</italic> (from the low-resolution genotyping) as well as HLA-<italic>B</italic><sup>&#x0002A;</sup><italic>57:02</italic> and <italic>B</italic><sup>&#x0002A;</sup><italic>57:03</italic> (from the high-resolution genotyping) allele frequencies between DILI cases and treatment tolerants is presented in Table <xref ref-type="table" rid="T5">5</xref>. The overall allele frequency of <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> was higher (13.0%) than that of the other <italic>HLA-B</italic> alleles (7.6% for <italic>B</italic><sup>&#x0002A;</sup><italic>14</italic> and 7.1% for <italic>B</italic><sup>&#x0002A;</sup><italic>41</italic>). The allele frequency of <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> was higher in DILI cases (25.0%) compared to treatment tolerants (1.1%). The <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:03</italic> and <italic>B</italic><sup>&#x0002A;</sup><italic>57:02</italic> allele frequencies in DILI cases (15.2 and 9.8%) were higher than the treatment tolerants (0 and 1.1%), respectively.</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p><bold>Comparison of <italic><bold>HLA-B</bold></italic> allele frequencies distribution between patients who developed ARV and anti-tuberculosis drugs induced liver toxicity (cases) and patients who did not (treatment tolerants)</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>HLA-B allele</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>DILI cases (</bold><italic><bold>N</bold></italic> &#x0003D; <bold>46)</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Treatment tolerants (</bold><italic><bold>N</bold></italic> &#x0003D; <bold>46)</bold></th>
<th valign="top" align="center"><italic><bold>P</bold></italic><bold>-value</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Odds ratio</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>Observed frequency</bold></th>
<th valign="top" align="center"><bold>95% CI</bold></th>
<th valign="top" align="center"><bold>Observed frequency</bold></th>
<th valign="top" align="center"><bold>95% CI</bold></th>
<th/>
<th valign="top" align="center"><bold>OR</bold></th>
<th valign="top" align="center"><bold>95% CI</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>HLA-B<sup>&#x0002A;</sup>57</italic></td>
<td valign="top" align="center">0.250</td>
<td valign="top" align="center">0.162&#x02013;0.338</td>
<td valign="top" align="center">0.011</td>
<td valign="top" align="center">0.004&#x02013;0.032</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">30.33</td>
<td valign="top" align="center">4.00&#x02013;230.3</td>
</tr>
<tr>
<td valign="top" align="left"><italic>HLA-B<sup>&#x0002A;</sup>14</italic></td>
<td valign="top" align="center">0.130</td>
<td valign="top" align="center">0.062&#x02013;0.199</td>
<td valign="top" align="center">0.033</td>
<td valign="top" align="center">0.004&#x02013;0.069</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">3.30</td>
<td valign="top" align="center">1.02&#x02013;10.65</td>
</tr>
<tr>
<td valign="top" align="left"><italic>HLA-B<sup>&#x0002A;</sup>41</italic></td>
<td valign="top" align="center">0.033</td>
<td valign="top" align="center">0.004&#x02013;9.069</td>
<td valign="top" align="center">0.109</td>
<td valign="top" align="center">0.045&#x02013;0.172</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">0.28</td>
<td valign="top" align="center">0.07&#x02013;1.04</td>
</tr>
<tr>
<td valign="top" align="left"><italic>HLA-B<sup>&#x0002A;</sup>57:03</italic></td>
<td valign="top" align="center">0.152</td>
<td valign="top" align="center">0.079&#x02013;0.226</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>HLA-B<sup>&#x0002A;</sup>57:02</italic></td>
<td valign="top" align="center">0.098</td>
<td valign="top" align="center">0.037&#x02013;0.159</td>
<td valign="top" align="center">0.011</td>
<td valign="top" align="center">0.001&#x02013;0.032</td>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>OR, Odds Ratio; CI, Confidence interval; HLA, Human leukocyte antigen</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>In the present study, we investigated the association of <italic>HLA-B</italic> variant alleles with risk for concomitant anti-TB and ARV drugs induced liver toxicity. The proportion of <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> allele carriers in Ethiopian patients who developed anti-TB and ARV drugs induced liver toxicity (37.0%), particularly in those who developed cholestatic type of liver toxicity (44.8%) was significantly higher compared with those who tolerated the treatment (2.2%). The proportion of <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>14</italic> allele carriers who developed DILI (21.7%) was also significantly higher compared with the treatment tolerants (6.5%). These indicate that <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> and <italic>B</italic><sup>&#x0002A;</sup><italic>14</italic> allele carriers might be at a higher risk of developing anti-TB and ARV drugs co-treatment induced liver toxicity. Accordingly, these variant alleles might play important roles in the pathogenesis of immune-mediated liver toxicity during anti-TB and ARV drugs co-treatment. The <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> and <italic>B</italic><sup>&#x0002A;</sup><italic>14</italic> molecules may function as endogenous antigen presenting molecules for the drugs/metabolites to HLA-restricted cytotoxic T-cell activation (Pichler, <xref ref-type="bibr" rid="B41">2002</xref>). To our knowledge, this is the first report to investigate the association of <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57, B</italic><sup>&#x0002A;</sup><italic>14</italic>, and <italic>B</italic><sup>&#x0002A;</sup><italic>41</italic> alleles with anti-TB and ARV drugs co-treatment induced liver toxicity.</p>
<p>The <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> variant allele, which was observed in significantly higher proportion among DILI cases than treatment tolerants, had a high specificity (97.8%) and positive predictive value (94.4%). Hence, <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> is likely to be an important predictor for anti-TB and ARV drugs co-treatment induced liver injury. However, there could be additional yet unidentified genetic markers and non-genetic risk factors involved in the pathogenesis of DILI. The matched case-control design used in this study minimizes effects of potential confounders and may increase power to identify genetic associations. Although this limits us from exploring associations of the matching variables such as sex, body mass index, Karnofsky score, CD4 count, and HIV viral load which were independently and significantly associated with the risk of developing DILI (Yimer et al., <xref ref-type="bibr" rid="B49">2011</xref>, <xref ref-type="bibr" rid="B48">2014</xref>). Association of CD4 cell counts and Karnofsky score as risk factors for DILI were also found in this study, although the others were not significant.</p>
<p>Studies suggest that a particular <italic>HLA-B</italic> allele may exert a protective effect against certain adverse drug reactions as evidenced by lower allele carrier frequencies in cases compared with treatment tolerants. <italic>HLA-DQA1</italic><sup>&#x0002A;</sup><italic>01:02</italic> was identified as a protective variant for anti-TB drugs induced hepatotoxicity (Sharma et al., <xref ref-type="bibr" rid="B43">2002</xref>). <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>40:01</italic> and <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>07:02</italic> were also identified as protective variant alleles for carbamazepine-induced severe cutaneous adverse reactions (Alfirevic et al., <xref ref-type="bibr" rid="B2">2006</xref>; Hung et al., <xref ref-type="bibr" rid="B25">2006</xref>). In our study, statistically significant lower allele carrier rate of <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>41</italic> was noted in the DILI cases compared with the treatment tolerants (6.5 vs. 21.7%), but this effect did not reach statistical significance after correcting for multiple comparisons. Further, analysis is required to clarify the role of <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>41</italic> in the prevention of development of anti-TB and ARV drugs co-treatment induced liver injury.</p>
<p>Our result indicated a positive association of <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> allele with mild-to-moderate liver injury and the <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>14</italic> allele with severe liver injury. On the other hand, <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>41</italic> allele was negatively associated with mild-to-moderate liver injury. Accordingly, the association of <italic>HLA-B</italic> alleles with anti-TB and ARV drugs co-treatment induced liver injury may seem to depend on the severity of liver injury. The <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> allele may be critical for the initiation of the immune response to cause DILI and the <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>14</italic> allele for the progression to severe degree of liver injury. On the other hand, the <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>41</italic> allele seems to play a role in the prevention of development of mild-to-moderate liver injury due to anti-TB and ARV drugs co-treatment. These findings warrant further investigation in a larger DILI case samples for each severity grade of liver injury.</p>
<p>DILI can be hepatocellular (predominant rise in ALT), cholestatic (predominant rise in ALP), or mixed type liver injury (Hussaini and Farrington, <xref ref-type="bibr" rid="B26">2014</xref>). Recently, we conducted a prospective observational study to evaluate the incidence, type, severity, and predisposing risk factors for DILI in a large well-defined TB and/or HIV patient cohort receiving either anti-TB drugs alone, ARV drugs alone or concomitant anti-TB and ARV therapy (Yimer et al., <xref ref-type="bibr" rid="B48">2014</xref>). We found rates of hepatocellular DILI being highest among patients treated with anti-TB drugs alone than patients treated with ARV drugs alone or co-treated with anti-TB drugs. On the other hand, the rates of cholestatic DILI was highest among patients treated with efavirenz based-ARV drugs alone than patients treated with anti-TB drugs alone or with ARV drugs (Yimer et al., <xref ref-type="bibr" rid="B48">2014</xref>). DILI due to anti-TB drugs in TB mono-infected patients is known to be more of hepatocellular type. In the present study, most of the TB-HIV co-infected patients treated with concomitant anti-TB and efavirenz based-ARV drugs developed cholestatic DILI cases. Apparently, there is a significant contribution from efavirenz based-ARV drugs toward developing cholestatic type of DILI. Indeed, the significant association of <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> variant allele with cholestatic type DILI identified in the present study might reflect for ARV-drugs induced hepatotoxicity. However, the role of HLA variant alleles for predisposition to anti-TB DILI cannot be ruled out (Sharma et al., <xref ref-type="bibr" rid="B43">2002</xref>; Chen et al., <xref ref-type="bibr" rid="B9">2015</xref>). Further, studies are necessary to investigate the association of HLA allele carrier status with anti-TB drugs alone as well as ARV drugs alone-induced liver injury.</p>
<p>Major histocompatibility complex (MHC) class I and class II-mediated immunological reactions are implicated in DILI, particularly in the cholestatic type that involves damage to the biliary system (Andrade et al., <xref ref-type="bibr" rid="B4">2004</xref>; Daly, <xref ref-type="bibr" rid="B12">2010</xref>). In line with this, carrier status of <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> was significantly higher in patients who presented with the cholestatic type of DILI (44.8%) and mixed type (26.7%) compared with those who tolerated the treatment (2.2%). None of the patients who developed hepatocellular DILI were carriers of <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> variant allele.</p>
<p><italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> allele is associated with long-term non-progressive chronic HIV-1 infection by restricting cytotoxic T-lymphocyte response (Goulder et al., <xref ref-type="bibr" rid="B18">2000</xref>). HLA-<italic>B</italic><sup>&#x0002A;</sup><italic>57:01</italic> and <italic>B</italic><sup>&#x0002A;</sup><italic>57:03</italic> are the most prevalent <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> subtypes in Caucasian and African populations, respectively (Pelak et al., <xref ref-type="bibr" rid="B39">2010</xref>; Apps et al., <xref ref-type="bibr" rid="B5">2013</xref>). The <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:01</italic> and <italic>B</italic><sup>&#x0002A;</sup><italic>57:03</italic> alleles are protective against HIV disease progression, and appear to present identical Gag epitopes (Payne et al., <xref ref-type="bibr" rid="B38">2014</xref>). <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:01, B</italic><sup>&#x0002A;</sup><italic>57:02</italic>, and <italic>B</italic><sup>&#x0002A;</sup><italic>57:03</italic> share more than 90% sequence homology and as such have peptide-binding repertoires which substantially overlap (Illing et al., <xref ref-type="bibr" rid="B27">2012</xref>; Ogese et al., <xref ref-type="bibr" rid="B37">2017</xref>). Although in ART na&#x000EF;ve patients <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> (<italic>B</italic><sup>&#x0002A;</sup><italic>57:01</italic> in Europe and US, <italic>B</italic><sup>&#x0002A;</sup><italic>57:03</italic> in black Africans) confers protective effect against HIV-1 disease progression to AIDS (Costello et al., <xref ref-type="bibr" rid="B11">1999</xref>; Migueles et al., <xref ref-type="bibr" rid="B34">2000</xref>; L&#x000F3;pez-Larrea et al., <xref ref-type="bibr" rid="B30">2005</xref>; Frater et al., <xref ref-type="bibr" rid="B17">2007</xref>), it may exert contradictory effect on treatment outcome when the disease course is altered by ARV therapy (Dold et al., <xref ref-type="bibr" rid="B16">2015</xref>). Previous studies reported the association of <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> with increased all causes of mortality (Dold et al., <xref ref-type="bibr" rid="B16">2015</xref>) and reduced virological responses during ARV therapy (Kuniholm et al., <xref ref-type="bibr" rid="B28">2011</xref>). <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> allele is also known to be associated with immune-mediated drug-induced hypersensitivity reactions. Carriers of <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:01</italic> allele are at higher risk of developing abacavir-induced hypersensitivity reactions (Hetherington et al., <xref ref-type="bibr" rid="B21">2002</xref>), whereas <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:03</italic> is associated with spondylarthropathies (L&#x000F3;pez-Larrea et al., <xref ref-type="bibr" rid="B30">2005</xref>). Indeed, genetic screening for <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:01</italic> variant allele has been shown to reduce drug toxicity and subsequently led to a labeled recommendation of routine screening before treatment initiation (Hughes et al., <xref ref-type="bibr" rid="B24">2008</xref>; Mallal et al., <xref ref-type="bibr" rid="B33">2008</xref>).</p>
<p>The frequency and subtypes of <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> variant alleles display wide inter-ethnic variability globally ranging from 0 to 22.5% (<ext-link ext-link-type="uri" xlink:href="http://www.allelefrequencies.net/">http://www.allelefrequencies.net/</ext-link>). The overall frequency of <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> in our study population from Ethiopia is 13% which is relatively high. <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:01</italic> occurs in Asians and Caucasians (up to 5%). The <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:03</italic> and <italic>B</italic><sup>&#x0002A;</sup><italic>57:02</italic> variant alleles commonly occur in black population reaching up to 3 and 7% allele frequencies, respectively. Interestingly <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:01</italic> was not detected, and it may be rare or absent in Ethiopians similar to other black Africans where the allele frequency is &#x0003C;1%. The overall <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:03</italic> and <italic>B</italic><sup>&#x0002A;</sup><italic>57:02</italic> allele frequencies in our TB/HIV co-infected study population was 7.6 and 5.4%, respectively, although the frequencies in healthy Ethiopians is yet unknown. Interestingly, <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:03</italic> and <italic>B</italic><sup>&#x0002A;</sup><italic>57:02</italic> allele frequencies in DILI cases (15.2 and 9.8%) were significantly higher than the allele frequencies in the treatment-tolerants (0 and 1.1%), respectively.</p>
<p>There were some limitations in this study. First, as DILI is a rare event, it was not easy to get large number of cases (four years were required to collect the DILI cases in this study), which subsequently resulted in a small number of samples for sub-group analysis. The second limitation is that as drug combinations are the current treatment protocols for TB and HIV co-infections, and hence we cannot link the risk variant allele to a specific drug or class of drug(s). Since first line anti-TB and HIV treatment regimen consists of combination therapy, it is not possible to study individual drug-induced liver toxicity in TB and HIV co-infected patients for ethical reasons. However, our study represents an important first step in applying HLA-B typing to identify genetic variants for anti-TB and ARV drugs co-treatment induced liver injury.</p>
<p>Identification of genetic risk factors for anti-TB, and ARV drugs co-treatment induced liver injury is essential for patient safety. The HLA risk alleles predisposing to immune-mediated anti-TB and ARV drugs induced liver toxicity in black African population are not well investigated. A common problem encountered in HLA genotyping is inability to determine the variant alleles accurately using a simple genotyping procedure. This is mainly due to the extensive genetic diversity in HLA gene locus. Accurate allele-level HLA typing using the current methods requires high workload, cost and time. Because of extreme genetic variation of the HLA locus, pharmacogenetic testing for routine clinical practice is increasingly challenging in resource limited settings. However, the recent development of second-generation sequencing methods provides the possibility of sequencing a single DNA strand in isolation. Establishing a straightforward and affordable genotyping method for accurate HLA typing to identify patients at risk of developing drug-induced adverse events may lay the ground for the future application of pharmacogenetic testing in clinical practice for globalized personalized medicine.</p>
<p>In conclusion, HLA-B variant alleles may play important roles in determining the risk and severity of concomitant anti-TB and ARV drugs induced liver toxicity. <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57</italic> variant alleles (<italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:03</italic> and <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>57:02</italic>) are risk factors to develop anti-TB and ARV drugs co-treatment induced liver injury, mainly of cholestatic type and mild DILI cases. The possible risk association of <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>14</italic> allele with severe DILI and the protective association of <italic>HLA-B</italic><sup>&#x0002A;</sup><italic>41</italic> require further investigations. Additional studies are necessary to understand the roles of the identified <italic>HLA-B</italic> variant alleles in the pathogenesis of anti-TB and ARV drugs co-treatment induced liver toxicity.</p>
</sec>
<sec id="s5">
<title>Author contributions</title>
<p>EA, JK, and EM conceived and designed the study; EA, GY, AH, EM collected the data; EA, JK, and ZP performed the experiment and analyzed the data; EA and ZP wrote this paper. All authors revised/edited the manuscript and approved for submission.</p>
</sec>
<sec id="s6">
<title>Funding</title>
<p>The study was financially supported by grants from European and Developing Countries Clinical Trials Partnership (NL) (CG_TA.05.40204_005) and from Swedish Research Council (Vetenskapsr&#x000E5;det, Grant number: 2015-03295). This work was also supported partly by the NIH/Fogarty International Center Global Infectious Diseases grant D43TW009127.</p>
<sec>
<title>Conflict of interest statement</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>
</body>
<back>
<ack><p>We would like to express our heartfelt gratitude to all the study participants.</p>
</ack>
<sec sec-type="supplementary-material" id="s7">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="http://journal.frontiersin.org/article/10.3389/fphar.2017.00090/full#supplementary-material">http://journal.frontiersin.org/article/10.3389/fphar.2017.00090/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table1.PDF" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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