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Ulanova V, Kivrane A, Viksna A, Pahirko L, Freimane L, Sadovska D, Ozere I, Cirule A, Sevostjanovs E, Grinberga S, Bandere D, Ranka R. Effect of NAT2, GSTM1 and CYP2E1 genetic polymorphisms on plasma concentration of isoniazid and its metabolites in patients with tuberculosis, and the assessment of exposure-response relationships. Front Pharmacol 2024; 15:1332752. [PMID: 38584604 PMCID: PMC10995391 DOI: 10.3389/fphar.2024.1332752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 03/04/2024] [Indexed: 04/09/2024] Open
Abstract
Objectives: Isoniazid is a key drug in the chemotherapy of tuberculosis (TB), however, interindividual variability in pharmacokinetic parameters and drug plasma levels may affect drug responses including drug induced hepatotoxicity. The current study investigated the relationships between isoniazid exposure and isoniazid metabolism-related genetic factors in the context of occurrence of drug induced hepatotoxicity and TB treatment outcomes. Methods: Demographic characteristics and clinical information were collected in a prospective TB cohort study in Latvia (N = 34). Time to sputum culture conversion (tSCC) was used as a treatment response marker. Blood plasma concentrations of isoniazid (INH) and its metabolites acetylisoniazid (AcINH) and isonicotinic acid (INA) were determined at three time points (pre-dose (0 h), 2 h and 6 h after drug intake) using liquid chromatography-tandem mass spectrometry. Genetic variations of three key INH-metabolizing enzymes (NAT2, CYP2E1, and GSTM1) were investigated by application PCR- and Next-generation sequencing-based methods. Depending on variables, group comparisons were performed by Student's t-test, one-way ANOVA, Mann-Whitney-Wilcoxon, and Kruskal-Wallis tests. Pearson correlation coefficient was calculated for the pairs of normally distributed variables; model with rank transformations were used for non-normally distributed variables. Time-to-event analysis was performed to analyze the tSCC data. The cumulative probability of tSCC was obtained using Kaplan-Meier estimators. Cox proportional hazards models were fitted to estimate hazard rate ratios of successful tSCC. Results: High TB treatment success rate (94.1%) was achieved despite the variability in INH exposure. Clinical and demographic factors were not associated with either tSCC, hepatotoxicity, or INH pharmacokinetics parameters. Correlations between plasma concentrations of INH and its metabolites were NAT2 phenotype-dependent, while GSTM1 genetic variants did not showed any effects. CYP2E1*6 (T > A) allelic variant was associated with INH pharmacokinetic parameters. Decreased level of AcINH was associated with hepatotoxicity, while decreased values of INA/INH and AcINH/INH were associated with month two sputum culture positivity. Conclusion: Our findings suggest that CYP2E1, but not GSTM1, significantly affects the INH pharmacokinetics along with NAT2. AcINH plasma level could serve as a biomarker for INH-related hepatotoxicity, and the inclusion of INH metabolite screening in TB therapeutic drug monitoring could be beneficial in clinical studies for determination of optimal dosing strategies.
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Affiliation(s)
- Viktorija Ulanova
- Laboratory of Molecular Microbiology, Latvian Biomedical Research and Study Centre, Riga, Latvia
- Pharmacogenetics Laboratory, Department of Pharmaceutical Chemistry, Riga Stradins University, Riga, Latvia
| | - Agnija Kivrane
- Laboratory of Molecular Microbiology, Latvian Biomedical Research and Study Centre, Riga, Latvia
- Pharmacogenetics Laboratory, Department of Pharmaceutical Chemistry, Riga Stradins University, Riga, Latvia
| | - Anda Viksna
- Pharmacogenetics Laboratory, Department of Pharmaceutical Chemistry, Riga Stradins University, Riga, Latvia
- Centre of Tuberculosis and Lung Diseases, Riga East University Hospital, Upeslejas, Latvia
| | - Leonora Pahirko
- Faculty of Physics, Mathematics, and Optometry, University of Latvia, Riga, Latvia
| | - Lauma Freimane
- Laboratory of Molecular Microbiology, Latvian Biomedical Research and Study Centre, Riga, Latvia
| | - Darja Sadovska
- Laboratory of Molecular Microbiology, Latvian Biomedical Research and Study Centre, Riga, Latvia
- Pharmacogenetics Laboratory, Department of Pharmaceutical Chemistry, Riga Stradins University, Riga, Latvia
| | - Iveta Ozere
- Pharmacogenetics Laboratory, Department of Pharmaceutical Chemistry, Riga Stradins University, Riga, Latvia
- Centre of Tuberculosis and Lung Diseases, Riga East University Hospital, Upeslejas, Latvia
| | - Andra Cirule
- Centre of Tuberculosis and Lung Diseases, Riga East University Hospital, Upeslejas, Latvia
| | | | | | - Dace Bandere
- Pharmacogenetics Laboratory, Department of Pharmaceutical Chemistry, Riga Stradins University, Riga, Latvia
| | - Renate Ranka
- Laboratory of Molecular Microbiology, Latvian Biomedical Research and Study Centre, Riga, Latvia
- Pharmacogenetics Laboratory, Department of Pharmaceutical Chemistry, Riga Stradins University, Riga, Latvia
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Sahiratmadja E, Rini IA, Penggoam S, Charles A, Maskoen AM, Parwati I. Acetylator Status Among Newly Diagnosed and Recurrent Tuberculosis Patients from Kupang, Eastern Part of Indonesia. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2021; 14:737-744. [PMID: 34188520 PMCID: PMC8235940 DOI: 10.2147/pgpm.s311952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 05/31/2021] [Indexed: 11/23/2022]
Abstract
Purpose N-acetyltransferase-2 enzyme in the liver, encoded by NAT2 gene, plays a central role in metabolizing tuberculosis (TB) drug isoniazid (INH). Low compliance of patients toward six-month TB therapy and internal host factors, ie comorbid diseases, immune status, and genetic profiles, are factors leading to treatment failure and recurrence of pulmonary TB infection. This study aimed to explore the NAT2 acetylator status among newly diagnosed and recurrent pulmonary TB patients in eastern part of Indonesia. Patients and Methods Archived DNA of TB patients (n=124) and healthy controls (n=124) were sequenced, and NAT2 acetylator status was determined, then categorized as fast, intermediate, or slow acetylators. Pulmonary TB patients who had no previous TB treatment history were designated as newly diagnosed pulmonary TB, whereas patients with a history of TB treatment were designated as recurrent pulmonary TB. The demographic, clinical, and microbiological data between pulmonary TB groups were compared, and acetylator status was described among groups. Results Male was more significantly prevalent in the recurrent pulmonary TB group (p=0.025), and anemia was more prevalent in new pulmonary TB (p=0.003). The acetylator status in pulmonary TB patients compared to healthy controls were rapid (33.9% vs 48.1%), intermediate (57.8% vs 33.0%), and slow acetylators (8.3% vs 18.9%), respectively. Interestingly, the rapid and intermediate acetylator were significantly more prevalent in pulmonary TB patients than in healthy controls (p=0.023, OR=2.58 (1.12–5.97). Furthermore, no differences were found in acetylator status between new and recurrent pulmonary (p=0.776). Conclusion Rapid and intermediate acetylators status predominated the pulmonary TB patients in Kupang, eastern part of Indonesia, postulating different genetic makeup in this area. As the pulmonary TB patients in Kupang exhibit more rapid acetylator phenotype, the acetylator status might be relevant to be checked before TB therapy for adjusting treatment dose to prevent drug resistances.
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Affiliation(s)
- Edhyana Sahiratmadja
- Division of Biochemistry and Molecular Biology, Department of Biomedical Sciences, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Ika Agus Rini
- Health Research Unit, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Simeon Penggoam
- Laboratorium Mikrobiologi, RSUD Prof. Dr. WZ Johannes, Kupang, Indonesia
| | - Afandi Charles
- Health Research Unit, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Ani Melani Maskoen
- Division of Biochemistry and Molecular Biology, Department of Biomedical Sciences, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia.,Health Research Unit, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Ida Parwati
- Department of Clinical Pathology, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
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Zhang D, Hao J, Hou R, Yu Y, Hu B, Wei L. The role of NAT2 polymorphism and methylation in anti-tuberculosis drug-induced liver injury in Mongolian tuberculosis patients. J Clin Pharm Ther 2020; 45:561-569. [PMID: 32364660 DOI: 10.1111/jcpt.13097] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2019] [Revised: 11/11/2019] [Accepted: 11/19/2019] [Indexed: 01/02/2023]
Abstract
WHAT IS KNOWN AND OBJECTIVE Anti-tuberculosis drug-induced liver injury (ATLI) is one of the most significant adverse reactions for this line of therapy. N-acetyltransferase 2 (NAT2) is an important metabolic enzyme involved in drug metabolism and detoxification. Genetic polymorphism and DNA methylation have been proven to be key factors that affect the expression of NAT2. Therefore, the objective of the study was to investigate the relationship between NAT2 gene polymorphism and DNA methylation in the promoter region with ATLI risk in Mongolian tuberculosis patients. METHODS Our study is a case-control design. Chi-square test, Mann-Whitney U non-parametric test and Pearson test were all used to analyse existing relationships. The association between NAT2 gene acetylation phenotype and the total methylation of the NAT2 promoter region was analysed by means of binary logistic regression analysis. The general situation of the patients was evaluated by questionnaire, and the NAT2 genotyping of the three major polymorphism loci of gene coding was carried out by a gene sequencing technique. The methylation status of the NAT2 gene promoter region was detected by bisulphite sequencing and mass spectrometry. RESULT AND DISCUSSION Our study found that the detection rate of ATLI in Mongolian tuberculosis patients was 27.6%. There were no significant differences in demographic characteristics and living habits amongst the two groups, while significant differences were observed in the polymorphism of the NAT2 genes 481 (rs1799929) and 590 (rs1799930) and the acetylation phenotype. Moreover, the composition and distribution of the NAT2*4/4 and NAT2*4/5 genotypes were found in the two groups. The risk of ATLI in the slow acetylation type was 3.56 times higher than that of the fast acetylation type. Compared with the control group, the CpG5, CpG10, CpG11.12 and total methylation of the NAT2 promoter region in the ATLI group showed a hypermethylated pattern (P < .05). However, on performing binary logistic regression, neither the slow acetylation, intermediate acetylation nor rapid acetylation were found to be associated with ATLI (P > .05). It was found that the total methylation of NAT2 gene promoter region was an independent influencing factor of ATLI in Mongolian tuberculosis patients. With the increase of the total methylation level of NAT2 gene promoter region, the risk of ATLI increased gradually. (OR = 8.371, 95% CI: 2.391 ~ 29.315). CpG1, CpG4, CpG9, CpG10 and CpG11.12 were positively correlated with a total methylation level in the ATLI group. WHAT IS NEW AND CONCLUSION The detection rate of ATLI in Mongolian tuberculosis patients was 27.6%, and there were differences in the NAT2 genotypes and acetylated phenotypes. The slow acetylated type was the risk factor for ATLI. Methylation in the promoter region of the NAT2 gene has an effect on the risk of ATLI. After adjusting for the interference of three acetylation types, it was found that the total methylation of the promoter region of NAT2 gene in Mongolian tuberculosis patients is an independent influencing factor of ATLI. Furthermore, there is a moderate to high correlation between some sites and the overall level of methylation.
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Affiliation(s)
- Dong Zhang
- School of Public Health, Baotou Medical College, Baotou, Inner Mongolia, China
| | - Jinqi Hao
- School of Public Health, Baotou Medical College, Baotou, Inner Mongolia, China
| | - Ruili Hou
- School of Public Health, Baotou Medical College, Baotou, Inner Mongolia, China
| | - Yanqin Yu
- School of Public Health, Baotou Medical College, Baotou, Inner Mongolia, China
| | - Baocui Hu
- School of Public Health, Baotou Medical College, Baotou, Inner Mongolia, China
| | - Liqin Wei
- School of Public Health, Baotou Medical College, Baotou, Inner Mongolia, China
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Zhang C, Jiao L, Bai H, Zhao Z, Hu X, Wang M, Wu T, Peng W, Liu T, Song J, Zhou J, Li M, Lyv M, Zhang J, Chen H, Chen J, Ying B. Association of POR and PPARα polymorphisms with risk of anti-tuberculosis drug-induced liver injury in Western Chinese Han population. INFECTION GENETICS AND EVOLUTION 2019; 79:104147. [PMID: 31857256 DOI: 10.1016/j.meegid.2019.104147] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 11/24/2019] [Accepted: 12/16/2019] [Indexed: 02/08/2023]
Abstract
OBJECTIVES Anti-tuberculosis drug-induced liver injury (ATDILI) is a common and sometimes severe adverse drug reaction (ADR). This study was conducted to investigate the relationship between polymorphisms of two genes, cytochrome P450 oxidoreductase (POR) and peroxisome proliferator-activated receptor α (PPARα), and the risk of ATDILI in Western Chinese Han population. METHODS A total of 118 tuberculosis (TB) patients with ATDILI and 628 TB patients without ATDILI during anti-TB treatment were recruited from West China Hospital of Sichuan University. DNA was extracted from peripheral blood, and genotypes of the selected 12 single nucleotide polymorphisms (SNPs) (3 SNPs in the POR gene and 9 SNPs in the PPARα gene) were determined. Three genetic models (additive, dominant, and recessive), as well as a haplotype, were used to test the genetic risk of ATDILI. Extended subgroup analysis was conducted according to age, sex and different causality assessments. RESULTS The mutant allele, genotype and genetic model of rs3898649 in the POR gene were found to be associated with increased risk of ATDILI, especially in the younger (<50 years old), female and pulmonary tuberculosis subgroup. The other two SNPs rs28737229 and rs4728533 in the POR gene showed only a potential association with susceptibility to ATDILI after Bonferroni correction (P < .05 but PBonferroni > .05). The other 9 SNPs loci (rs135549, rs9626730, rs4253712, rs4823613, rs4253730, rs6007662, rs4253728, rs2024929 and rs135561) in the PPARα gene showed no significant differences between ATDILI and non-ATDILI in either allele frequencies or genotype (all P >.05). CONCLUSIONS The results demonstrated the strong correlation between POR gene SNP rs3898649 and ATDILI susceptibility, suggesting the importance of POR rs3898649 in the pathogenesis and development of ATDILI. Therefore, our results indicated that POR rs3898649 might be a valuable biomarker potentially involved in ATDILI.
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Affiliation(s)
- Chunying Zhang
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, PR China
| | - Lin Jiao
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, PR China
| | - Hao Bai
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, PR China
| | - Zhenzhen Zhao
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, PR China
| | - Xuejiao Hu
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, PR China
| | - Minjin Wang
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, PR China
| | - Tao Wu
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, PR China
| | - Wu Peng
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, PR China
| | - Tangyuheng Liu
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, PR China
| | - Jiajia Song
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, PR China
| | - Juan Zhou
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, PR China
| | - Mengjiao Li
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, PR China
| | - Mengyuan Lyv
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, PR China
| | - Jingwei Zhang
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, PR China
| | - Hao Chen
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, PR China
| | - Jie Chen
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, PR China.
| | - Binwu Ying
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, PR China.
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