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Alés-Palmer ML, Andújar-Vera F, Iglesias-Baena I, Muñoz-de-Rueda P, Ocete-Hita E. N-acetyltransferase Gene Variants Involved in Pediatric Idiosyncratic Drug-Induced Liver Injury. Biomedicines 2024; 12:1288. [PMID: 38927494 PMCID: PMC11201799 DOI: 10.3390/biomedicines12061288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Revised: 05/21/2024] [Accepted: 05/23/2024] [Indexed: 06/28/2024] Open
Abstract
Idiosyncratic drug-induced liver injury (DILI) is a complex multifactorial disease in which the toxic potential of the drug, together with genetic and acquired factors and deficiencies in adaptive processes, which limit the extent of damage, may determine susceptibility and make individuals unique in their development of hepatotoxicity. In our study, we sequenced the exomes of 43 pediatric patients diagnosed with DILI to identify important gene variations associated with this pathology. The result showed the presence of two variations in the NAT2 gene: c.590G>A (p.Arg197Gln) and c.341T>C (p.Ile114Thr). These variations could be found separately or together in 41 of the 43 patients studied. The presence of these variations as a risk factor for DILI could confirm the importance of the acetylation pathway in drug metabolism.
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Affiliation(s)
- María Luisa Alés-Palmer
- Department of Pediatrics, University of Granada, 18016 Granada, Spain;
- Department of Pediatrics, “Virgen de las Nieves” University Hospital, 18014 Granada, Spain
| | - Francisco Andújar-Vera
- Bioinformatic Unit, Instituto de Investigación Biosanitaria ibs.GRANADA, 18012 Granada, Spain;
| | | | - Paloma Muñoz-de-Rueda
- Research Support Unit, Instituto de Investigación Biosanitaria ibs.GRANADA, 18012 Granada, Spain;
| | - Esther Ocete-Hita
- Department of Pediatrics, University of Granada, 18016 Granada, Spain;
- Department of Pediatrics, “Virgen de las Nieves” University Hospital, 18014 Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, 18012 Granada, Spain
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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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Villapalos-García G, Zubiaur P, Ochoa D, Soria-Chacartegui P, Navares-Gómez M, Matas M, Mejía-Abril G, Casajús-Rey A, Campodónico D, Román M, Martín-Vílchez S, Candau-Ramos C, Aldama-Martín M, Abad-Santos F. NAT2 phenotype alters pharmacokinetics of rivaroxaban in healthy volunteers. Biomed Pharmacother 2023; 165:115058. [PMID: 37385211 DOI: 10.1016/j.biopha.2023.115058] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 06/20/2023] [Accepted: 06/21/2023] [Indexed: 07/01/2023] Open
Abstract
Rivaroxaban is a direct inhibitor of factor Xa, a member of direct oral anticoagulant group of drugs (DOACs). Despite being a widely extended alternative to vitamin K antagonists (i.e., acenocoumarol, warfarin) the interindividual variability of DOACs is significant, and may be related to adverse drug reaction occurrence or drug inefficacy, namely hemorrhagic or thromboembolic events. Since there is not a consistent analytic practice to monitor the anticoagulant activity of DOACs, previously reported polymorphisms in genes coding for proteins responsible for the activation, transport, or metabolism of DOACs were studied. The study population comprised 60 healthy volunteers, who completed two randomized, crossover bioequivalence clinical trials between two different rivaroxaban formulations. The effect of food, sex, biogeographical origin and 55 variants (8 phenotypes and 47 single nucleotide polymorphisms) in drug metabolizing enzyme genes (such as CYP2D6, CYP2C9, NAT2) and transporters (namely, ABCB1, ABCG2) on rivaroxaban pharmacokinetics was tested. Individuals dosed under fasting conditions presented lower tmax (2.21 h vs 2.88 h, β = 1.19, R2 =0.342, p = 0.012) compared to fed volunteers. NAT2 slow acetylators presented higher AUC∞ corrected by dose/weight (AUC∞/DW; 8243.90 vs 7698.20 and 7161.25 h*ng*mg /ml*kg, β = 0.154, R2 =0.250, p = 0.044), higher Cmax/DW (1070.99 vs 834.81 and 803.36 ng*mg /ml*kg, β = 0.245, R2 =0.320, p = 0.002), and lower tmax (2.63 vs 3.19 and 4.15 h, β = -0.346, R2 =0.282, p = 0.047) than NAT2 rapid and intermediate acetylators. No other association was statistically significant. Thus, slow NAT2 appear to have altered rivaroxaban pharmacokinetics, increasing AUC∞ and Cmax. Nonetheless, further research should be conducted to verify NAT2 involvement on rivaroxaban pharmacokinetics and to determine its clinical significance.
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Affiliation(s)
- Gonzalo Villapalos-García
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Pablo Zubiaur
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain; Division of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Children's Mercy Research Institute (CMRI), Kansas City, MO, USA.
| | - Dolores Ochoa
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Paula Soria-Chacartegui
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Marcos Navares-Gómez
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Miriam Matas
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Gina Mejía-Abril
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Ana Casajús-Rey
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Diana Campodónico
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Manuel Román
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Samuel Martín-Vílchez
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Carmen Candau-Ramos
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Marina Aldama-Martín
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Francisco Abad-Santos
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain.
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Zhou W, Guo J, Li Y, Ma X, Yang S, Wei J, Zhang H, Zhang S, Jin T. Genetic polymorphisms of pharmacogenomic VIP variants in the Hui population from Ningxia Province of China. Funct Integr Genomics 2023; 23:85. [PMID: 36930384 DOI: 10.1007/s10142-023-01021-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 03/08/2023] [Accepted: 03/09/2023] [Indexed: 03/18/2023]
Abstract
Pharmacogenomics has been widely used to study the very important pharmacogenetic (VIP) variants among different populations. However, there is little pharmacogenomic information about the Chinese Hui population. Our research aimed to reveal the outstandingly different loci in the Hui population, and provide a theoretical foundation for personalized drug use in the Hui population, so as to facilitate more effective treatment of diseases. This study genotyped 53 VIP variants of 26 genes in 200 independent Hui individuals based on the Pharmacogenetics and Pharmacogenomics Knowledge Base (PharmGKB). Remarkable differences in the genotype and allele frequencies between the Hui and 26 other populations from the 1000 Genomes Project were assessed using the χ2 test. The genotype and allele frequencies of single nucleotide polymorphisms (SNPs) in PTGS2 (rs20417), NAT2 (rs1801280), NAT2 (rs1208), ACE (rs4291), and CYP2D6 (rs1065852) were considerably different in the Hui population compared with those in the other 26 populations. Besides, using the PharmGKB database, we identified several VIP variants that may alter the drug metabolism of ibuprofen, rofecoxib (PTGS2), captopril (ACE), citalopram, and escitalopram (CYP2D6). We also discovered other variants associated with adverse reactions to cisplatin and cyclophosphamide (NAT2). Our study indicated that the loci of PTGS2 (rs20417), NAT2 (rs1801280 and rs1208), ACE (rs4291), and CYP2D6 (rs1065852) in the Hui population were obviously different from those in the other 26 populations, which provides reliable information for predicting drug efficacy. Besides, it supplements the pharmacogenomic knowledge of the Hui population and lays the foundation for the individualized treatment for the Hui population.
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Affiliation(s)
- Wenqian Zhou
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710127, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Jinping Guo
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710127, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Yujie Li
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710127, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Xiaoya Ma
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710127, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Shuangyu Yang
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710127, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Jie Wei
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710127, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Huan Zhang
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710127, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Shanshan Zhang
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China.
- College of Life Science, Northwest University, Xi'an, 710127, Shaanxi, China.
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China.
| | - Tianbo Jin
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China.
- College of Life Science, Northwest University, Xi'an, 710127, Shaanxi, China.
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China.
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Kim V, Wal TVD, Nishi MY, Montenegro LR, Carrilho FJ, Hoshida Y, Ono SK. Brazilian cohort and genes encoding for drug-metabolizing enzymes and drug transporters. Pharmacogenomics 2020; 21:575-586. [PMID: 32486903 DOI: 10.2217/pgs-2020-0013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Background & aim: Genetic variability in drug absorption, distribution, metabolism and excretion (ADME) genes contributes to the high heterogeneity of drug responses. The present study investigated polymorphisms of ADME genes frequencies and compared the findings with populations from other continents, available in the 1000 Genome Project (1 KGP) and the Exome Aggregation Consortium (ExAC) databases. Methodology & results: We conducted a study of 100 patients in Brazil and a total of 2003 SNPs were evaluated by targeted next-generation sequencing in 148 genes, including Phase I enzymes (n = 50), Phase II enzymes (n = 38) and drug transporters (n = 60). Overall, the distribution of minor allele frequency (MAF) suggests that the distribution of 2003 SNPs is similar between Brazilian cohort, 1 KGP and ExAC; however, we found moderate SNP allele-frequency divergence between Brazilian cohort and both 1000 KGP and ExAC. These differences were observed in several relevant genes including CYP3A4, NAT2 and SLCO1B1. Conclusion: We concluded that the Brazilian population needs clinical assessment of drug treatment based on individual genotype rather than ethnicity.
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Affiliation(s)
- Vera Kim
- Division of Clinical Gastroenterology & Hepatology, Department of Gastroenterology, Faculdade de Medicina, Universidade de São Paulo, São Paulo, 05403-000, Brazil.,Division of Liver Diseases, Department of Medicine, Liver Cancer Program, Tisch Cancer Institute, Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, NY 10029, USA
| | - Thijs van der Wal
- Division of Liver Diseases, Department of Medicine, Liver Cancer Program, Tisch Cancer Institute, Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, NY 10029, USA
| | - Miriam Yumie Nishi
- Unidade de Endocrinologia do Desenvolvimento, Disciplina de Endocrinologia e Metabologia do Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, 05403-000, Brazil
| | - Luciana Ribeiro Montenegro
- Unidade de Endocrinologia do Desenvolvimento, Disciplina de Endocrinologia e Metabologia do Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, 05403-000, Brazil
| | - Flair Jose Carrilho
- Division of Clinical Gastroenterology & Hepatology, Department of Gastroenterology, Faculdade de Medicina, Universidade de São Paulo, São Paulo, 05403-000, Brazil
| | - Yujin Hoshida
- Division of Liver Diseases, Department of Medicine, Liver Cancer Program, Tisch Cancer Institute, Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, NY 10029, USA.,Liver Tumor Transnational Research Program, Simmons Comprehensive Cancer Center, Division of Digestive & Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Suzane Kioko Ono
- Division of Clinical Gastroenterology & Hepatology, Department of Gastroenterology, Faculdade de Medicina, Universidade de São Paulo, São Paulo, 05403-000, Brazil
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The association between NAT2 acetylator status and adverse drug reactions of sulfasalazine: a systematic review and meta-analysis. Sci Rep 2020; 10:3658. [PMID: 32107440 PMCID: PMC7046788 DOI: 10.1038/s41598-020-60467-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Accepted: 02/11/2020] [Indexed: 02/06/2023] Open
Abstract
N-acetyltransferase 2 (NAT2) acetylator status can be classified into three groups depending on the number of rapid alleles (e.g., NAT2*4): rapid, intermediate, and slow acetylators. Such acetylator status may influence the occurrence of adverse drug reactions (ADRs) during sulfasalazine treatment. This systematic review and meta-analysis aimed to evaluate the association between NAT2 acetylator status and ADRs of sulfasalazine. We searched for qualified studies in PubMed, Web of Science, Embase, and the Cochrane Library. Odds ratio (OR) and 95% confidence intervals (CIs) were calculated to evaluate the strength of the association between NAT2 acetylator status and ADRs of sulfasalazine. Nine cohort studies involving 1,077 patients were included in the meta-analysis. NAT2 slow acetylators were associated with an increase in overall ADRs (OR 3.37, 95% CI: 1.43 to 7.93; p = 0.005), discontinuation due to overall ADRs (OR 2.89, 95% CI: 1.72 to 4.86; p < 0.0001), and dose-related ADRs (OR 5.20, 95% CI: 2.44 to 11.08; p < 0.0001), compared with rapid and intermediate acetylators. In conclusion, NAT2 slow acetylators are at risk of ADRs during sulfasalazine treatment. Based on our findings, NAT2 genotyping may be useful to predict the occurrence of ADRs during sulfasalazine treatment.
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NAT2 Gene Polymorphisms in Turkish Patients with Psoriasis Vulgaris. BIOMED RESEARCH INTERNATIONAL 2018; 2018:3258708. [PMID: 29992137 PMCID: PMC6016222 DOI: 10.1155/2018/3258708] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Revised: 04/09/2018] [Accepted: 05/06/2018] [Indexed: 12/18/2022]
Abstract
Psoriasis is a common, chronic, and autoimmune skin disease. Factors that play a role in etiopathogenesis of psoriasis include internal factors such as genetic susceptibility and immunological factors and external factors such as stress, infection, trauma, drug, and environmental compounds. N-acetyltransferase 2 (NAT2) is a xenobiotic enzyme that is involved in the metabolism of drugs, environmental toxins, and carcinogens. In this study, we aimed to demonstrate whether the variations in the NAT2 gene lead to a predisposition to psoriasis by affecting the enzyme's ability to metabolize drugs and environmental components or not. Three polymorphisms (rs1799929, rs1799930, and rs1799931) in NAT2 gene were genotyped and compared by real-time PCR method in 260 psoriasis vulgaris patients and 200 healthy controls. There was no difference in the genotype distributions and allele frequencies of polymorphisms between psoriasis vulgaris patients and controls. When the effects of polymorphisms on the clinical features of the disease, such as onset age and severity, are assessed, it has been found that rs1799930 and rs1799929 are, respectively, associated with early onset age and severity of the disease. In conclusion, rs1799929, rs1799930, and rs1799931 polymorphisms of the NAT-2 gene do not appear to be a risk factor for the development of psoriasis. Conversely, they may have an effect on either more severe or early onset cases of the disease.
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Xiao W, Guo JP, Li C, Ye H, Wei W, Zou Y, Dai L, Li Z, Zhang M, Li X, Cai X, Zhao J, Wang Y, Tao Y, Liu D, Li Y, Wu M, Sun E, Wu L, Luo L, Mu R, Li Z. Genetic predictors of efficacy and toxicity of iguratimod in patients with rheumatoid arthritis. Pharmacogenomics 2018. [PMID: 29517409 DOI: 10.2217/pgs-2017-0162] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Iguratimod (IGU) is a novel disease-modifying anti-rheumatic drug (DMARD) in rheumatoid arthritis (RA). Like other DMARDs, IGU exhibited significant differences in effectiveness and safety. AIM The aim of this study was to identify genetic predictorsof efficacyand toxicity of IGU in patients with RA. MATERIALS & METHODS Seven SNPs from IGU-metabolizing genes were genotyped in 272 IGU-treated patients with RA. Results: ABCG2 rs2231142 A allele conferred a higher response to IGU, while NAT2 rs1495742 G carriersconferred a lower response to IGU. CYP2C19*2 rs4244285 A carriers had higher risk for IGU-induced toxicity compared to the GG carriers. CONCLUSION Our study suggests that the polymorphisms of ABCG2 (rs2231142), NAT2 (rs1495741)and CYP2C19*2 (rs4244285) may help to predict thetherapeutic effectiveness and toxicity of IGU in patients with RA.
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Affiliation(s)
- Wenjing Xiao
- Department of Rheumatology & Immunology, People's Hospital, Peking University, Beijing, PR China
| | - Jian-Ping Guo
- Department of Rheumatology & Immunology, People's Hospital, Peking University, Beijing, PR China
| | - Chun Li
- Department of Rheumatology & Immunology, People's Hospital, Peking University, Beijing, PR China
| | - Hua Ye
- Department of Rheumatology & Immunology, People's Hospital, Peking University, Beijing, PR China
| | - Wei Wei
- Department of Rheumatology & Immunology, Tianjin Medical University General Hospital, Tianjin, PR China
| | - Yaohong Zou
- Department of Rheumatology & Immunology, Wuxi People's Hospital, Wuxi, Jiangsu, PR China
| | - Lie Dai
- Department of Rheumatology & Immunology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, PR China
| | - Zhijun Li
- Department of Rheumatology & Immunology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, PR China
| | - Miaojia Zhang
- Department of Rheumatology & Immunology, The First Affiliated Hospital with Nanjing, Nanjing, Jiangsu, PR China
| | - Xiangpei Li
- Department of Rheumatology & Immunology, Anhui Provincial Hospital, Hefei, Anhui, PR China
| | - Xiaoyan Cai
- Department of Rheumatology & Immunology, Guangzhou First People's Hospital, Guangzhou, Guangdong, PR China
| | - Jianhong Zhao
- Department of Rheumatology & Immunology, Jining No.1 People's Hospital, Jining, Shandong, PR China
| | - Youlian Wang
- Department of Rheumatology & Immunology, Jiangxi Provincial People's Hospital, Xinyu, Jiangxi, PR China
| | - Yi Tao
- Department of Rheumatology & Immunology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, PR China
| | - Dongzhou Liu
- Department of Rheumatology & Immunology, Shenzhen People's Hospital, Shenzhen, Guangzhou, PR China
| | - Yasong Li
- Department of Rheumatology & Immunology, Zhejiang Provincial People's Hospital, Huzhou, Zhejiang, PR China
| | - Min Wu
- Department of Rheumatology & Immunology, The First People's Hospital of Changzhou, Changzhou, Jiangsu, PR China
| | - Erwei Sun
- Department of Rheumatology & Immunology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, PR China
| | - Lijun Wu
- Department of Rheumatology & Immunology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, PR China
| | - Li Luo
- Department of Rheumatology & Immunology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region, PR China
| | - Rong Mu
- Department of Rheumatology & Immunology, People's Hospital, Peking University, Beijing, PR China
| | - Zhanguo Li
- Department of Rheumatology & Immunology, People's Hospital, Peking University, Beijing, PR China
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Zhang QH, Yin RX, Huang F, Yang DZ, Lin WX, Pan SL. Association between the PINX1 and NAT2 polymorphisms and serum lipid levels. Oncotarget 2017; 8:114081-114094. [PMID: 29371971 PMCID: PMC5768388 DOI: 10.18632/oncotarget.23123] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2017] [Accepted: 11/29/2017] [Indexed: 02/07/2023] Open
Abstract
Jing nationality is a relatively conservative and isolated minority in China. Little is known about the association of the PIN2/TERF1-interacting telomerase inhibitor 1 (PINX1) and N-acetyltransferase 2 (NAT2) single nucleotide polymorphisms (SNPs) and serum lipid levels in the Chinese populations. This study aimed to clarify the association of 6 SNPs of the PINX1 and NAT2 and serum lipid levels in two Chinese populations. Genotyping of the SNPs was performed in 1236 Han subjects and 1248 Jing participants. Allelic and genotypic frequencies of these variants (except NAT2 rs1799931) were different between the two ethnic groups. The minor allele carriers had higher triglyceride (TG, rs11776767, rs1495743 and rs1799930), low-density lipoprotein cholesterol (rs6601530) levels and the apolipoprotein (Apo)A1/ApoB ratio (rs1495743) in Han nationality; and higher total cholesterol (rs1961456), TG (rs11776767, rs6601530 and rs1495743) and lower ApoA1 (rs6601530 and rs1799931) levels in Jing minority than the minor allele non-carriers. The SNPs were not statistically independent by the multiple-locus linkage disequilibrium analyses. The integrative haplotypes and gene-by-gene (G × G) interactions on serum lipid traits were also observed in the two populations. Association analysis based on haplotypes and G × G interactions might be powerful than single-locus tests. Differences in serum lipid profiles between the two populations might partially be attributed to these SNPs, their haplotypes and G × G interactions.
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Affiliation(s)
- Qing-Hui Zhang
- Department of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China
| | - Rui-Xing Yin
- Department of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China
| | - Feng Huang
- Department of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China
| | - De-Zhai Yang
- Department of Molecular Genetics, Medical Scientific Research Center, Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China
| | - Wei-Xiong Lin
- Department of Molecular Genetics, Medical Scientific Research Center, Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China
| | - Shang-Ling Pan
- Department of Pathophysiology, School of Premedical Sciences, Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China
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Igumnova V, Capligina V, Krams A, Cirule A, Elferts D, Pole I, Jansone I, Bandere D, Ranka R. Genotype and allele frequencies of isoniazid-metabolizing enzymes NAT2 and GSTM1 in Latvian tuberculosis patients. J Infect Chemother 2016; 22:472-7. [PMID: 27236516 DOI: 10.1016/j.jiac.2016.04.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Revised: 03/30/2016] [Accepted: 04/17/2016] [Indexed: 12/17/2022]
Abstract
Pharmacogenomic testing of tuberculosis drug-metabolizing enzyme genes was proposed as a strategy to identify patients at risk for suboptimal responses to medications. However, variations of the genotype frequencies among ethnic groups exist and new alleles are been identified. The aim of this study was to identify polymorphisms of genes encoding metabolic enzymes NAT2 and GSTM1 in tuberculosis patients in Latvia and to estimate the frequency of NAT2 slow acetylator and GSTM1 null genotypes. In total, 85 DNA samples were genotyped, all individuals were Caucasian. An ethnic heterogeneity reflecting the multiethnic population of the country was observed. 49 patients were Latvians, 30 were Russians and 6 of other ethnicity. In total, 7 NAT2 alleles were identified: *4, *5, *6, *7, *11, *12, * and *13. The most frequent was the slow acetylation allele NAT2*6 (frequency 0.388) followed by the slow acetylation allele NAT2*5 and the rapid acetylation allele NAT2*4 (frequencies 0.306 and 0.194, respectively). The predominance of slow (51.8%) and intermediate (43.5%) acetylators compared with rapid acetylators (4.7%) was observed. The GSTM1 null genotype was detected in 48.2% of tuberculosis patients. When subgroup analysis was performed according to ethnicity, the results showed that neither NAT2 allele frequencies nor GSTM1 null genotype frequency did not differ significantly in TB patients of Latvian or Russian ethnicity. Overall, genotyping results were similar with previous reports of a NAT2 gene variation and GSTM1 null genotype frequency in Caucasians. Our findings have a contribution for the pharmacogenetics-based tuberculosis therapy in Latvia in future.
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Affiliation(s)
- Viktorija Igumnova
- Riga Stradins University, Riga, Latvia; Latvian Biomedical Research and Study Center, Riga, Latvia.
| | | | - Alvils Krams
- Riga East University Hospital, Centre of Tuberculosis and Lung Diseases, Riga, Latvia; University of Latvia, Riga, Latvia
| | - Andra Cirule
- Riga East University Hospital, Centre of Tuberculosis and Lung Diseases, Riga, Latvia
| | | | - Ilva Pole
- Latvian Biomedical Research and Study Center, Riga, Latvia; Riga East University Hospital, Centre of Tuberculosis and Lung Diseases, Riga, Latvia
| | - Inta Jansone
- Latvian Biomedical Research and Study Center, Riga, Latvia
| | | | - Renate Ranka
- Riga Stradins University, Riga, Latvia; Latvian Biomedical Research and Study Center, Riga, Latvia
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NAT2 variants are associated with drug-induced liver injury caused by anti-tuberculosis drugs in Indonesian patients with tuberculosis. J Hum Genet 2016; 61:533-7. [DOI: 10.1038/jhg.2016.10] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2015] [Revised: 12/31/2015] [Accepted: 01/19/2016] [Indexed: 11/08/2022]
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Loureiro AI, Soares-da-Silva P. Distribution and pharmacokinetics of etamicastat and its N-acetylated metabolite (BIA 5-961) in dog and monkey. Xenobiotica 2015; 45:903-11. [PMID: 25869244 DOI: 10.3109/00498254.2015.1024780] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
1. The disposition etamicastat was evaluated in the Cynomolgus monkey after intravenous and oral administration of [(14)C]-etamicastat. The pharmacokinetics of etamicastat and its N-acetylated metabolite BIA 5-961 were also evaluated in monkeys and dogs. 2. In the monkey, 7 days after intravenous and oral administration of [(14)C]-etamicastat, 76.6-91.1% of the etamicastat-related radioactivity had been excreted mainly in urine. The radioactivity peaked in plasma between 4- and 8-h post-dosing followed by a quick decline and a slow terminal phase (half-life of 68.7 h). The calculated oral bioavailability for etamicastat was 46.1%. Etamicastat was quickly absorbed in monkeys and dogs with a half-life ranging from 5.2 to 9.9 h in monkeys and 6.9 to 11.4 h in dogs over. 3. The N-acetylated metabolite of etamicastat, represented 4-7% of the extent of exposure of etamicastat in the monkey, but was not found detectable in dogs. Gender did not influence etamicastat exposure and the concentration versus time curves fitted a dose-dependent pharmacokinetics in the dog, but not in the monkey. 4. In conclusion, etamicastat is rapidly absorbed and primarily excreted via urine in monkeys. Similarly, to humans, monkeys, unlike dogs, N-acetylate etamicastat and evidence that etamicastat pharmacokinetics is less than dose proportional.
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Affiliation(s)
- A I Loureiro
- a Department of Research and Development , BIAL - Portela & Ca. S.A., S Mamede do Coronado , Portugal and
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PharmGKB summary: very important pharmacogene information for N-acetyltransferase 2. Pharmacogenet Genomics 2014; 24:409-25. [PMID: 24892773 DOI: 10.1097/fpc.0000000000000062] [Citation(s) in RCA: 86] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Loureiro AI, Rocha JF, Fernandes-Lopes C, Nunes T, Wright LC, Almeida L, Soares-da-Silva P. Human disposition, metabolism and excretion of etamicastat, a reversible, peripherally selective dopamine β-hydroxylase inhibitor. Br J Clin Pharmacol 2014; 77:1017-26. [PMID: 24168152 PMCID: PMC4093927 DOI: 10.1111/bcp.12274] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2013] [Accepted: 10/03/2013] [Indexed: 12/25/2022] Open
Abstract
AIMS Etamicastat is a reversible dopamine-β-hydroxylase inhibitor that decreases noradrenaline levels in sympathetically innervated tissues and slows down sympathetic nervous system drive. In this study, the disposition, metabolism and excretion of etamicastat were evaluated following [(14)C]-etamicastat dosing. METHODS Healthy Caucasian males (n = 4) were enrolled in this single-dose, open-label study. Subjects were administered 600 mg of unlabelled etamicastat and 98 µCi weighing 0.623 mg [(14)C]-etamicastat. Blood samples, urine and faeces were collected to characterize the disposition, excretion and metabolites of etamicastat. RESULTS Eleven days after administration, 94.0% of the administered radioactivity had been excreted; 33.3 and 58.5% of the administered dose was found in the faeces and urine, respectively. Renal excretion of unchanged etamicastat and its N-acetylated metabolite (BIA 5-961) accounted for 20.0 and 10.7% of the dose, respectively. Etamicastat and BIA 5-961 accounted for most of the circulating radioactivity, with a BIA 5-961/etamicastat ratio that was highly variable both for the maximal plasma concentration (19.68-226.28%) and for the area under the plasma concentration-time curve from time zero to the last sampling time at which the concentration was above the limit of quantification (15.82- 281.71%). Alongside N-acetylation, metabolism of etamicastat also occurs through oxidative deamination of the aminoethyl moiety, alkyl oxidation, desulfation and glucuronidation. CONCLUSIONS Etamicastat is rapidly absorbed, primarily excreted via urine, and its biotransformation occurs mainly via N-acetylation (N-acetyltransferase type 2), although glucuronidation, oxidation, oxidative deamination and desulfation also take place.
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Affiliation(s)
- Ana I Loureiro
- Department of Research and Development, BIAL – Portela & Cª. S.A.S. Mamede do Coronado, Portugal
| | - Jose F Rocha
- Department of Research and Development, BIAL – Portela & Cª. S.A.S. Mamede do Coronado, Portugal
| | - Carlos Fernandes-Lopes
- Department of Research and Development, BIAL – Portela & Cª. S.A.S. Mamede do Coronado, Portugal
| | - Teresa Nunes
- Department of Research and Development, BIAL – Portela & Cª. S.A.S. Mamede do Coronado, Portugal
| | - Lyndon C Wright
- Department of Research and Development, BIAL – Portela & Cª. S.A.S. Mamede do Coronado, Portugal
| | - Luis Almeida
- Health Sciences Department, University of AveiroAveiro, Portugal
| | - Patricio Soares-da-Silva
- Department of Research and Development, BIAL – Portela & Cª. S.A.S. Mamede do Coronado, Portugal
- Department of Pharmacology and Therapeutics, Faculty of Medicine, University of PortoPorto, Portugal
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Garcés-Eisele SJ, Cedillo-Carvallo B, Reyes-Núñez V, Estrada-Marín L, Vázquez-Pérez R, Juárez-Calderón M, Guzmán-García MO, Dueñas-González A, Ruiz-Argüelles A. Genetic selection of volunteers and concomitant dose adjustment leads to comparable hydralazine/valproate exposure. J Clin Pharm Ther 2014; 39:368-75. [PMID: 24702251 DOI: 10.1111/jcpt.12155] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2014] [Accepted: 02/24/2014] [Indexed: 12/31/2022]
Abstract
WHAT IS KNOWN AND OBJECTIVE Hydralazine is an inhibitor of DNA methyltransferases, whereas valproate interferes with histone deacetylation. In combination, they show a marked synergism in reducing tumour growth as well as development of metastasis and inducing cell differentiation. Hydralazine is metabolized by the highly polymorphic N-acetyltransferase 2. The current pilot study was performed to analyse the pharmacokinetic parameters of a single dose of hydralazine in 24 h (one tablet with 83 mg for slow acetylators and one tablet with 182 mg for fast acetylators) and three fixed doses of valproate (one tablet of controlled liberation with 700 mg every 8 h) in healthy genetically selected volunteers. Selection was performed based on their NAT2 activity as deduced from their genotype. METHODS An open label non-randomized single arm study was conducted in two groups of six healthy volunteers of both genders aged 20-45 years with a body mass index 22·2-26·9 which were classified as fast or slow acetylators after genotyping 3 SNPs that cover 99·9% of the NAT2 variants in the Mexican population. Blood samples were collected predose and serially post-dose in an interval of 48 h. Hydralazine and valproate concentrations were determined by ultra-high performance liquid chromatography (UPLC) coupled to tandem mass spectroscopy (MS/MS). RESULTS AND DISCUSSION The AUC0-48 h and Cmax of hydralazine were almost identical (1410 ± 560 vs. 1446 ± 509 ng h/mL and 93·4 ± 16·7 vs. 112·5 ± 42·1 ng/mL) in both groups with NAT2 genotype-adjusted doses, whereas the multidose parameters of valproate were not significantly affected neither by the selection of the NAT2 genotype (AUC0-48 h 2064 ± 455 vs. 1896 ± 185 μg h/mL; Cmax 96·4 ± 21·1 vs. 88·8 ± 7·2 μg/mL, for the fast and slow acetylators, respectively) nor the co-administration of 83 or 182 mg of hydralazine. WHAT IS NEW AND CONCLUSION Comparable hydralazine exposures (differences in AUC0-inf of only 7%) were observed in this study with genetic selection of volunteers and concomitant dose adjustment. However, the conclusions have yet to be confirmed with a full-powered 2 × 2 crossover study.
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Affiliation(s)
- S J Garcés-Eisele
- Clínica Ruiz Laboratorios, Puebla, México; Universidad Popular Autónoma del Estado de Puebla, Puebla, México
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Loureiro AI, Fernandes-Lopes C, Bonifácio MJ, Wright LC, Soares-da-Silva P. N-Acetylation of Etamicastat, a Reversible Dopamine-β-Hydroxylase Inhibitor. Drug Metab Dispos 2013; 41:2081-6. [DOI: 10.1124/dmd.113.053736] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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Rapid birth-and-death evolution of the xenobiotic metabolizing NAT gene family in vertebrates with evidence of adaptive selection. BMC Evol Biol 2013; 13:62. [PMID: 23497148 PMCID: PMC3601968 DOI: 10.1186/1471-2148-13-62] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2012] [Accepted: 02/27/2013] [Indexed: 11/10/2022] Open
Abstract
Background The arylamine N-acetyltransferases (NATs) are a unique family of enzymes widely distributed in nature that play a crucial role in the detoxification of aromatic amine xenobiotics. Considering the temporal changes in the levels and toxicity of environmentally available chemicals, the metabolic function of NATs is likely to be under adaptive evolution to broaden or change substrate specificity over time, making NATs a promising subject for evolutionary analyses. In this study, we trace the molecular evolutionary history of the NAT gene family during the last ~450 million years of vertebrate evolution and define the likely role of gene duplication, gene conversion and positive selection in the evolutionary dynamics of this family. Results A phylogenetic analysis of 77 NAT sequences from 38 vertebrate species retrieved from public genomic databases shows that NATs are phylogenetically unstable genes, characterized by frequent gene duplications and losses even among closely related species, and that concerted evolution only played a minor role in the patterns of sequence divergence. Local signals of positive selection are detected in several lineages, probably reflecting response to changes in xenobiotic exposure. We then put a special emphasis on the study of the last ~85 million years of primate NAT evolution by determining the NAT homologous sequences in 13 additional primate species. Our phylogenetic analysis supports the view that the three human NAT genes emerged from a first duplication event in the common ancestor of Simiiformes, yielding NAT1 and an ancestral NAT gene which in turn, duplicated in the common ancestor of Catarrhini, giving rise to NAT2 and the NATP pseudogene. Our analysis suggests a main role of purifying selection in NAT1 protein evolution, whereas NAT2 was predicted to mostly evolve under positive selection to change its amino acid sequence over time. These findings are consistent with a differential role of the two human isoenzymes and support the involvement of NAT1 in endogenous metabolic pathways. Conclusions This study provides unequivocal evidence that the NAT gene family has evolved under a dynamic process of birth-and-death evolution in vertebrates, consistent with previous observations made in fungi.
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Fullam E, Kawamura A, Wilkinson H, Abuhammad A, Westwood I, Sim E. Comparison of the Arylamine N-acetyltransferase from Mycobacterium marinum and Mycobacterium tuberculosis. Protein J 2010; 28:281-93. [PMID: 19636684 DOI: 10.1007/s10930-009-9193-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Arylamine N-acetyltansferase (NAT) from Mycobacterium tuberculosis (TBNAT) is a potential drug target for anti-tubercular therapy. Recombinant TBNAT is much less soluble and is produced in lower yields than the closely related NAT from Mycobacterium marinum (MMNAT). In order to explore MMNAT as a model for TBNAT in drug discovery, we compare the two mycobacterial NAT enzymes. Two site-directed mutants of MMNAT have been prepared and characterised: MMNAT71, Tyr --> Phe and MMNAT209, Met --> Thr, in which residues within 6 A of the active-site cysteine have been replaced with the corresponding residue from TBNAT. Two chimeric proteins have also been produced in which the third domain of MMNAT has been replaced by the third domain of TBNAT and vice versa. The activity profile of the chimeric proteins suggests a role for the third domain in the evolutionary divergence of NAT between these closely related mycobacterial species.
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Affiliation(s)
- Elizabeth Fullam
- Department of Pharmacology, University of Oxford, Mansfield Road, Oxford, OX1 3QT, UK
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