Polymorphism in glutamate cysteine ligase catalytic subunit (GCLC) is associated with sulfamethoxazole-induced hypersensitivity in HIV/AIDS patients
© Wang et al.; licensee BioMed Central Ltd. 2012
Received: 14 May 2012
Accepted: 23 July 2012
Published: 23 July 2012
Sulfamethoxazole (SMX) is a commonly used antibiotic for prevention of infectious diseases associated with HIV/AIDS and immune-compromised states. SMX-induced hypersensitivity is an idiosyncratic cutaneous drug reaction with genetic components. Here, we tested association of candidate genes involved in SMX bioactivation and antioxidant defense with SMX-induced hypersensitivity.
Seventy seven single nucleotide polymorphisms (SNPs) from 14 candidate genes were genotyped and assessed for association with SMX-induced hypersensitivity, in a cohort of 171 HIV/AIDS patients. SNP rs761142 T > G, in glutamate cysteine ligase catalytic subunit (GCLC), was significantly associated with SMX-induced hypersensitivity, with an adjusted p value of 0.045. This result was replicated in a second cohort of 249 patients (p = 0.025). In the combined cohort, heterozygous and homozygous carriers of the minor G allele were at increased risk of developing hypersensitivity (GT vs TT, odds ratio = 2.2, 95% CL 1.4-3.7, p = 0.0014; GG vs TT, odds ratio = 3.3, 95% CL 1.6 – 6.8, p = 0.0010). Each minor allele copy increased risk of developing hypersensitivity 1.9 fold (95% CL 1.4 – 2.6, p = 0.00012). Moreover, in 91 human livers and 84 B-lymphocytes samples, SNP rs761142 homozygous G allele carriers expressed significantly less GCLC mRNA than homozygous TT carriers (p < 0.05).
rs761142 in GCLC was found to be associated with reduced GCLC mRNA expression and with SMX-induced hypersensitivity in HIV/AIDS patients. Catalyzing a critical step in glutathione biosynthesis, GCLC may play a broad role in idiosyncratic drug reactions.
KeywordsIdiosyncratic drug reaction Sulfamethoxazole Hypersensitivity Glutamate cysteine ligase catalytic subunit (GCLC) Association HIV/AIDS
Sulfamethoxazole (trimethoprim-sulfamethoxazole, TMP-SMX, cotrimoxazole) is a commonly used antibiotic against opportunistic infections associated with HIV/AIDS or other immuno-compromised states, including organ transplantation and cancer chemotherapy [1, 2]. SMX-induced hypersensitivity, characterized by fever, skin rash, lymphadenopathy, and multiple organ toxicity , is considered an idiosyncratic adverse drug reaction with uncertain mechanisms. Such idiosyncratic adverse drug reactions common to numerous drugs (e.g., isoniazid, carbamazepine, phenytoin, abacavir, etc) are considered to be multifactorial and multigenic. Individual susceptibility appears to be determined by both genetic predisposition and environmental factors [3–5]. At least three distinct processes contribute: (1) production of reactive metabolites via drug metabolism/bioactivation; (2) reactive oxygen species (ROS) processing, and (3) binding of reactive metabolites to proteins/DNA, resulting in inflammation, cell damage, neo-antigen formation, and immune response. Polymorphisms in genes involved in all these processes may modify risk of developing idiosyncratic drug reactions.
Genetic association studies, including genome wide association studies, have identified genetic polymorphisms in HLA loci as strong risk factors for idiosyncratic drug reactions induced by abacavir , nevirapine , carbamazepine , allopurinol , lumiracoxib , flucloxacillin and ximelagatran . However, the involvement of HLA variants in SMX-induced hypersensitivity is unclear. Previously serological typing indicated an association between HLA-A30 B13 CW6 haplotype and SMX-induced skin toxicity . Recently, one study has demonstrated weak association between HLA B*38 and SMX induced Stevens-Johnson syndrome , while another study failed to find association between SMX hypersensitivity and HLA-DRB1 (MHC class II) . Although HLA polymorphisms appear to be the most penetrant risk factors for idiosyncratic adverse drug reactions in general, other genetic factors are likely to contribute as well, because 2% to 10% of HLA risk allele carriers do not develop idiosyncratic adverse drug reactions [19, 20, 24].
NAT2 slow acetylator genotype/phenotype was suggested to predispose to SMX hypersensitivity in non-HIV/AIDS individuals [25, 26], while no such associations were observed in HIV/AIDS patients in several studies [27–29], possibly owing to reduced activities of liver drug metabolizing enzymes during HIV infection. Similarly, loss of function alleles *2 and *3 of CYP2C9 decrease bio-activation of SMX, potentially protecting against adverse effects . However, these CYP2C9 alleles were not significantly associated with SMX hypersensitivity in HIV/AIDS patients . Recently, we reported the gain of function alleles *10 and *11 in NAT1 to be protective against SMX-induced hypersensitivity in HIV/AIDS patients, but this was only observed in patients who are slow acetylators for NAT2, a rare example of a gene-gene-drug interaction.
We hypothesized that additional polymorphisms in genes involved in SMX bio-activation, reactive metabolite detoxification and GSH homeostasis could modify risk of SMX-induced hypersensitivity. To test this hypothesis, we genotyped 77 tagging SNPs selected from 14 candidate genes in a cohort of HIV/AIDS patients who were taking cotrimoxazole to prevent opportunistic infections. Our results indicate that a polymorphism in glutamate cysteine ligase catalytic subunit (GCLC), the rate limiting enzyme in GSH bio-synthesis, is significantly associated with SMX-induced hypersensitivity.
Sex, % male
38 ± 9
38 ± 11
37 ± 8
Race, % Caucasian
Sex, % male
36 ± 8
34 ± 7
37 ± 8
Race, % Caucasian
Cohort 1 + cohort 2
Sex, % male
37 ± 8
36 ± 9
37 ± 8
Race, % Caucasian
Successfully genotyped SNPs
Genes involved in SMX bioactivation
rs12720462, rs10912694, rs4916192, rs2076320, rs4433435, rs10798294
rs2266782, rs1736557, rs1736560, rs3754491, rs12404218, rs2064076, rs2075992, rs7061710, rs909530
rs4273915, rs10306194, rs10306135, rs3842798
rs4648276, rs2745557, rs5275, rs5277
Genes involved in reactive oxygen species scavenging
rs202445, rs1041740, rs4998557
rs2855116, rs4880, rs5746136, rs8031, rs5746092
rs2536512, rs8192287, rs2695232, rs8192290
rs533425, rs2179625, rs554576, rs10488736, rs1049982, rs7104301
rs32100, rs3811699, rs3448
rs4958873, rs3792796, rs3828599, rs1946234, rs8177412, rs2070593, rs2230303, rs11548
Genes involved in GSH homeostasis
rs41303970, rs7517826, rs2301022, rs12140446, rs7549683
rs3736729, rs636933, rs761142, rs6933870, rs510088, rs2397147, rs534957, rs661603, rs2066508, rs670548
rs2236271, rs6060127, rs2236270, rs2025096
rs3779647, rs2253409, rs2978663, rs2551715, rs1002149, rs8190996
SNPs significantly associated with SMX-induced hypersensitivity (uncorrected p values)
Association between SNP rs761142 in GCLC and SMX-induced hypersensitivity
Odds ratio (95% CL)
2.2 (1.4 – 3.7)
3.3 (1.6 – 6.8)
Two additional SNPs in GCLC were also significantly associated with SMX-induced hypersensitivity (Table 3, Figure 2), owing to their LD with rs761142. SNP rs670548 had been associated with GCLC expression in bronchial airway epithelial cells , but it did not reach significant association with SMX-induced hypersensitivity in cohort 1(Table 3 and Figure 2, P = 0.065). In the combined cohort, the association P value for rs670548 was 0.051. Because rs670548 is unevenly distributed in different populations and has very low allele frequency in African American population, we tested the association of rs670548 in Caucasians, where rs670548 was significantly associated with SMX-induced hypersensitivity (P = 0.025). However, rs761142 showed stronger association in the same cohort (P = 0.00015), indicating the association observed for rs670548 in Caucasians is a result of LD with rs761142 (D’ = 0.8 in Caucasian population, Figure 2). With the current study design (unmatched 1:3 case control ratio), and under the assumption of additive model with effect size of 2, we calculated the statistical power for cohort 1, cohort 2 and combined cohort to be 73%, 88% and 98%, respectively, to detect the effects of a polymorphism (for example rs761142) with minor allele frequency of 0.3 at α = 0.05.
Previous studies have indicated that promoter SNP rs17883901 and 5’UTR GAG trinucleotide repeats in GCLC are associated with schizophrenia and other diseases [33–35]. Genotyping these polymorphisms in cohort 1 showed that rs17883901 was not significantly associated with SMX-induced hypersensitivity (Additional file 1: Table S1). Similarly, none of GAG trinucleotide repeat variants showed significant associations (p = 0.32, chi-square test) (Additional file 1: Table S2). A previous study had proposed the less common genotypes (8/8, 9/9, 8/9, 7/8, ‘high risk alleles’) were associated with higher risk of developing schizophrenia compared to the more common repeats (7/7 and 7/9, ‘low risk alleles’) . Moreover, red blood cells or peripheral blood mononuclear cells (PBMC) with 7/7 genotype showed changes in GCL activity and GSH levels compared to 9/9 or other genotypes [5, 28]. However, we did not find an association between ‘high risk alleles’ in GCLC and SMX-induced hypersensitivity (Additional file 1: Table S1). Furthermore, promoter SNP rs17883901 and 5’UTR GAG trinucleotide repeat polymorphisms are not in linkage disequilibrium (LD) with rs761142 (Figure 2, LD D’ of 0.2 and 0.08, respectively). This result indicates that the association observed with rs761142 is unlikely to be caused by LD with previously identified promoter SNP rs17883901 or 5’UTR GAG trinucleotide repeat polymorphisms.
In this study, we have found rs761142 T > G in GCLC to be significantly associated with SMX-induced hypersensitivity in HIV/AIDS patients, with each copy of the minor G allele increasing risk nearly 2 fold. Consistent with this finding, the rs761142 G allele was also significantly associated with reduced GCLC mRNA expression in livers and B-lymphocytes. In contrast, previously reported promoter SNP rs17883901 and 5’UTR GAG trinucleotide polymorphisms [33–35] did not show significant associations. Although reactive metabolites and oxidative stress were proposed to be involved in the pathogenesis of idiosyncratic drug reactions [4, 5, 36], this is the first study implicating a gene involved in antioxidant defense, affecting risk of idiosyncratic drug-induced cutaneous reactions.
Glutamate-cysteine ligase (GCL), a rate limiting enzyme for biosynthesis of glutathione (GSH) (Figure 1), is composed of a catalytic subunit (GCLC) and a modifier subunit (GCLM). GSH is the main cellular antioxidant, scavenging reactive metabolites and preventing tissue damage [11, 37]. In HIV/AIDS patients, GSH levels are progressively depleted , consistent with the higher incidence of SMX-induced hypersensitivity in HIV/AIDS patients than in non-infected controls . Moreover, SMX cytotoxicity is suppressed by addition of GSH in vitro , and cells with GCLC knockdown were more sensitive to reactive metabolites induced cytotoxicity . Given the important role of GCLC in scavenging reactive metabolites, variants that reduce GCLC expression have a plausible role in increasing risk of developing SMX-induced hypersensitivity, especially in HIV/AIDS patients with already compromised GCLC function .
Previous GCLC studies have focused on promoter SNP rs17883901 and 5’UTR GAG trinucleotide polymorphisms [33–35]. Promoter SNP rs17883901 was shown to reduce basal and H2O2-induced promoter activity , while the GAG trinucleotide repeat variants affect GCLC protein expression through translation . However, the reported results have been inconsistent. For example, the reference 7 repeat has been associated with either lower or higher GCL activity/GSH levels compared to variant repeats (4, 8, 9 or 10 repeats) in different cell types or disease conditions [35, 41–43], indicating tissue/cell or environmental specific regulation of GCLC polymorphisms, or the presence of other unidentified functional polymorphisms in GCLC. This is consistent with numerous conflicting clinical association studies reported for GCLC[33–35, 44–46]. Our study failed to reveal significant association between promoter SNP rs17883901 or 5’UTR GAG trinucleotide repeat polymorphisms and SMX-induced hypersensitivity. Instead, the significantly associated rs761142 is located in the middle of intron 1 of GCLC. Although intronic polymorphisms can affect gene expression by various mechanisms , there is no evidence that rs761142 is functional by itself; instead, the association observed in this study could be caused by other functional polymorphisms in LD with rs761142 responsible for lowering GCLC mRNA expression. Similarly, SNP rs670548, located in intron12 of GCLC and showing significant association in our study, had also been associated with GCLC mRNA expression previously . Taken together, the results indicate that a regulatory polymorphism in GCLC that affects mRNA expression modify risk of developing SMX-induced hypersensitivity in HIV/AIDS patients. This result warrants replication in a larger cohort. Whether the GCLC polymorphisms are associated with SMX-induced hypersensitivity in non-HIV/AIDS patients will require further investigation.
There are several limitations in this observational clinical association study. First, the CD4 cell counts at the time of SMX administration were not uniformly available, therefore the influence from CD4 cell count cannot be evaluated; Second, patient comorbidity and co-medication information were not available. Since SMX is inactivated and bio-activated by drug metabolizing enzymes, other disease states or concomitant administration of other drugs may affect the balance between bio-activation and bio-inactivation of SMX, influencing the level of toxic metabolites. And finally, evaluation of rs670548 and risk of hypersensitivity in African American may be limited by small sample size. A prospective larger cohort study will needed in the future to fully evaluate the association between SNPs in GCLC and SMX-induced hypersensitivity.
We have previously reported the association between polymorphisms in NAT1 and NAT2 and SMX-induced hypersensitivity, and gene-gene interactions between NAT1 and NAT2. Since idiosyncratic adverse drug reactions are thought to be multigenic, it is likely that the risks of developing hypersensitivity are modified by interactions between multiple genes. Before testing the interactions between NAT1/NAT2 and GCLC, it is important to identify the functional polymorphism(s) and assess the frequency, direction and effect size for each.
Although not reported for drug-induced idiosyncratic cutaneous reaction; previous studies have associated drug induced idiosyncratic liver injury to antioxidant defense genes (SOD2 and GPX1) . Consistently, SOD2 knockout mice have increased sensitivity to idiosyncratic liver injury induced by troglitazone or acetaminophen . Similarly, mice deficient in NFE2L2 (NRF2), a transcription factor regulating antioxidant genes expression, also have increased sensitivity to acetaminophen induced liver injury . In the present study, we observed additional SNPs in antioxidant defense genes CAT GSS and GPX3 to be associated with SMX-induced hypersensitivity at nominal p values less than 0.05 (Table 3). These results suggest that multiple polymorphisms in antioxidant defense genes may modify risk of developing idiosyncratic drug reaction in general.
We have identified a single nucleotide polymorphism in GCLC that was significantly associated with reduced GCLC mRNA expression and with SMX-induced hypersensitivity in HIV/AIDS patients. This study supports the role of reactive metabolites and oxidative stress in the pathogenesis of SMX-induced hypersensitivity. Since oxidative stress caused by xenobiotics capable of redox cycling is a common mechanism of idiosyncratic drug reactions, it is plausible that polymorphisms in GCLC or other antioxidant defense genes may also be associated with idiosyncratic drug reactions caused by other drugs.
Subjects included in this study had consented to an IRB-approved protocol designed to collect clinical data and specimens on HIV-infected individuals evaluated for participation in clinical trials between 1993 to 1998 in the HIV Clinical Research Unit at The Ohio State University Medical Center. A total of 420 individuals with HIV/AIDS who were taking Cotrimoxazole (trimethoprim-sulfamethoxazole) for prophylaxis or treatment of opportunistic infections and who had complete clinical data and banked blood samples available were included. This cohort was divided into two sub-groups: cohort 1, 171 patients, enrolled during 1996 to 1998 when blood was drawn using acid citrate dextrose tubes; cohort 2, 249 patients, enrolled during 1993 to 1995 when blood was drawn using heparin tubes. Since heparin was found to interfere with the SNPlex genotyping reaction, only samples from cohort1 were subjected to SNPlex genotyping. Cohort 2 served as a replication cohort with genotyping performed using other methods as described below. SMX hypersensitivity was diagnosed by presence of at least two indicator adverse drug reactions, including skin rash, fever, pruritus, etc., that disappear after drug discontinuation .
Human liver biopsy or autopsy samples were obtained from the Cooperative Human Tissue Network Midwestern and Western Division, under the approval of The Ohio State University Institutional Review Board. Epstein-Barr virus-transformed B-lymphocytes were obtained from Coriell Repositories. Preparation of genomics DNA, RNA and cDNA from tissues or cells was done as described .
Selection of genes and polymorphisms
We selected genes based on current literatures that are involved in SMX bio-activation, reactive oxygen species scavenging and GSH homeostasis (Table 2 and Figure 1). For each gene, we selected tagging SNPs from HapMap project using the criteria of: MAF >10%, R2 = 80% in Caucasian population (>70% of the patients are Caucasians). Sixteen genes were initially selected; two genes (MPO1 and G6PD) did not yield any SNPs that can be successfully genotyped using SNPlex genotyping method and were excluded.
SNPlex probe design and reagents
The select SNPs were submitted to Applied Biosystems (Foster City, California, USA) for the design of SNPlex panels following their proprietary selection algorithms. SNPlex panels and reagents were provided by Applied Biosystems as we have described previously .
SNPlex genotyping was carried out according to the manufacture’s protocol as described in .
Genomic DNA preparation
Other genotyping methods
GCLC 5’UTR GAG trinucleotide polymorphism was genotyped by PCR using fluorescently labeled primers (FAM labeled forward primer: GGCTGAGTGTCCGTCTCG; reverse primer (unlabeled): GAACGTCCTTGTGCCGG) followed by capillary electrophoresis separation (ABI 3730 DNA analyzer, Applied Biosystems, Foster City, California, USA)) as described . Promoter SNP rs17883901 was genotyped using PCR-based restriction fragment length polymorphism methods as described  with modification. Instead of running agarose gels to separate and visualize the products, we labeled forward primer with fluorescent dye (FAM), and separated fragments using ABI 3730 DNA analyzer after PCR amplification and restriction enzyme digestion. SNP rs761142 was genotyped using allele specific PCR (common forward primer: CAACAGTTGGTTCTAGCAAAAGGA; reverse primer for reference allele: CCACACTGCTGGCTCTCTTGTAA; reverse for variant allele: CCACACTGCTGGCTCTCTTGTAC) as described .
Quantitative mRNA analysis by real-time PCR
GCLC total mRNA levels in cDNA samples were determined by real-time PCR on an ABI 7500 sequence detection system with power SYBR Green PCR Master mix (life Technologoes). GCLC expression levels, in arbitrary units, were calculated by subtracting the β-actin cycle threshold (Ct) from the GCLC Ct to get ΔCt as described previously . Arbitrary units for each sample = 1000*(2-ΔCt).
HelixTree 6.4.3 (Golden Helix, Bozeman, MT) was used to test for Hardy-Weinberg equilibrium and basic allele Chi-square test for association with SMX-induced hypersensitivity. The associations between genotypes and hypersensitivity were analyzed using logistic regression model performed using SAS 9.1.3 software (SAS Institute, Cary, NC). The suitability of model fitting was judged by deviance goodness of fit statistics p-value and score test p-value, both of which should be larger than 0.05. The differences between mRNA levels were tested by t-test using GraphPad Prism software (GraphPad Software, La Jolla, CA). Data are expressed as mean ± SE.
Single nucleotide polymorphisms
Glutamate cysteine ligase catalytic subunit
We acknowledge Dr. Wolfgang Sadee for critical reading, editing and comments.
This study was supported by NIH Grant R21 AI074399 and U01 GM092655. This study was also partially supported by Award number UL1RR025755 from the National Center for Research Resources. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Center for Research Resources or the National Institutes of Health.
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