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Pharmacogenetic Study of Drug-Metabolising Enzyme Polymorphisms on the Risk of Anti-Tuberculosis Drug-Induced Liver Injury: A Meta-Analysis

Overview of attention for article published in PLOS ONE, October 2012
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Title
Pharmacogenetic Study of Drug-Metabolising Enzyme Polymorphisms on the Risk of Anti-Tuberculosis Drug-Induced Liver Injury: A Meta-Analysis
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0047769
Pubmed ID
Authors

Yu Cai, JiaYong Yi, ChaoHui Zhou, XiZhong Shen

Abstract

Three first-line antituberculosis drugs, isoniazid, rifampicin and pyrazinamide, may induce liver injury, especially isoniazid. This antituberculosis drug-induced liver injury (ATLI) ranges from a mild to severe form, and the associated mortality cases are not rare. In the past decade, many investigations have focused the association between drug-metabolising enzyme (DME) gene polymorphisms and risk for ATLI; however, these studies have yielded contradictory results. PubMed, EMBASE, ISI web of science and the Chinese National Knowledge Infrastructure databases were systematically searched to identify relevant studies. A meta-analysis was performed to examine the association between polymorphisms from 4 DME genes (NAT2, CYP2E1, GSTM1 and GSTT1) and susceptibility to ATLI. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. Heterogeneity among articles and their publication bias were also tested. 38 studies involving 2,225 patients and 4,906 controls were included. Overall, significantly increased ATLI risk was associated with slow NAT2 genotype and GSTM1 null genotype when all studies were pooled into the meta-analysis. Significantly increased risk was also found for CYP2E1*1A in East Asians when stratified by ethnicity. However, no significant results were observed for GSTT1. Our results demonstrated that slow NAT2 genotype, CYP2E1*1A and GSTM1 null have a modest effect on genetic susceptibility to ATLI.

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The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 <1%
Unknown 132 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 14%
Researcher 15 11%
Student > Ph. D. Student 15 11%
Student > Bachelor 12 9%
Other 8 6%
Other 25 19%
Unknown 39 29%
Readers by discipline Count As %
Medicine and Dentistry 30 23%
Agricultural and Biological Sciences 21 16%
Pharmacology, Toxicology and Pharmaceutical Science 15 11%
Biochemistry, Genetics and Molecular Biology 12 9%
Nursing and Health Professions 4 3%
Other 11 8%
Unknown 40 30%