Cargando…
Development of a prediction system for anti-tuberculosis drug-induced liver injury in Japanese patients
Drug-induced liver injury (DILI) is a common adverse drug reaction in patients receiving antituberculosis (anti-TB) treatment. Among the anti-TB agents, isoniazid (INH) is the primary drug that causes hepatotoxicity in TB patients with DILI. Previous reports in several populations have consistently...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4917605/ https://www.ncbi.nlm.nih.gov/pubmed/27340556 http://dx.doi.org/10.1038/hgv.2016.14 |
_version_ | 1782438968325832704 |
---|---|
author | Mushiroda, Taisei Yanai, Hideki Yoshiyama, Takashi Sasaki, Yuka Okumura, Masao Ogata, Hideo Tokunaga, Katsushi |
author_facet | Mushiroda, Taisei Yanai, Hideki Yoshiyama, Takashi Sasaki, Yuka Okumura, Masao Ogata, Hideo Tokunaga, Katsushi |
author_sort | Mushiroda, Taisei |
collection | PubMed |
description | Drug-induced liver injury (DILI) is a common adverse drug reaction in patients receiving antituberculosis (anti-TB) treatment. Among the anti-TB agents, isoniazid (INH) is the primary drug that causes hepatotoxicity in TB patients with DILI. Previous reports in several populations have consistently demonstrated an association between polymorphisms in the N-acetyltransferase 2 (NAT2) gene, which is responsible for INH hepatic metabolism, and a risk of DILI in TB patients. In this study, the genetic and baseline clinical data from 366 Japanese patients with TB (73 patients with DILI and 293 without DILI) were used to develop a system to predict DILI risk due to anti-TB agents. The distribution of the NAT2 acetylator status among the TB patients with DILI was 31 (42.5%), 29 (39.7%), and 13 (17.8%) for rapid, intermediate, and slow acetylators, respectively. A significant association was observed between NAT2 slow acetylators and DILI risk (odds ratio 4.32, 95% confidence interval 1.93–9.66, P value=5.56×10(−4)). A logistic regression model based on age and NAT2 genotype revealed that the area under the curve for the receiver-operating characteristic curve was 0.717. The findings demonstrated that slow NAT2 acetylator status is a significant predictor of the risk of DILI by anti-TB agents, and a personalized anti-TB treatment approach may aid in making treatment decisions and reducing the incidence of DILI. |
format | Online Article Text |
id | pubmed-4917605 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49176052016-06-23 Development of a prediction system for anti-tuberculosis drug-induced liver injury in Japanese patients Mushiroda, Taisei Yanai, Hideki Yoshiyama, Takashi Sasaki, Yuka Okumura, Masao Ogata, Hideo Tokunaga, Katsushi Hum Genome Var Article Drug-induced liver injury (DILI) is a common adverse drug reaction in patients receiving antituberculosis (anti-TB) treatment. Among the anti-TB agents, isoniazid (INH) is the primary drug that causes hepatotoxicity in TB patients with DILI. Previous reports in several populations have consistently demonstrated an association between polymorphisms in the N-acetyltransferase 2 (NAT2) gene, which is responsible for INH hepatic metabolism, and a risk of DILI in TB patients. In this study, the genetic and baseline clinical data from 366 Japanese patients with TB (73 patients with DILI and 293 without DILI) were used to develop a system to predict DILI risk due to anti-TB agents. The distribution of the NAT2 acetylator status among the TB patients with DILI was 31 (42.5%), 29 (39.7%), and 13 (17.8%) for rapid, intermediate, and slow acetylators, respectively. A significant association was observed between NAT2 slow acetylators and DILI risk (odds ratio 4.32, 95% confidence interval 1.93–9.66, P value=5.56×10(−4)). A logistic regression model based on age and NAT2 genotype revealed that the area under the curve for the receiver-operating characteristic curve was 0.717. The findings demonstrated that slow NAT2 acetylator status is a significant predictor of the risk of DILI by anti-TB agents, and a personalized anti-TB treatment approach may aid in making treatment decisions and reducing the incidence of DILI. Nature Publishing Group 2016-06-23 /pmc/articles/PMC4917605/ /pubmed/27340556 http://dx.doi.org/10.1038/hgv.2016.14 Text en Copyright © 2016 Official journal of the Japan Society of Human Genetics http://creativecommons.org/licenses/by-nc-sa/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ |
spellingShingle | Article Mushiroda, Taisei Yanai, Hideki Yoshiyama, Takashi Sasaki, Yuka Okumura, Masao Ogata, Hideo Tokunaga, Katsushi Development of a prediction system for anti-tuberculosis drug-induced liver injury in Japanese patients |
title | Development of a prediction system for anti-tuberculosis drug-induced liver injury in Japanese patients |
title_full | Development of a prediction system for anti-tuberculosis drug-induced liver injury in Japanese patients |
title_fullStr | Development of a prediction system for anti-tuberculosis drug-induced liver injury in Japanese patients |
title_full_unstemmed | Development of a prediction system for anti-tuberculosis drug-induced liver injury in Japanese patients |
title_short | Development of a prediction system for anti-tuberculosis drug-induced liver injury in Japanese patients |
title_sort | development of a prediction system for anti-tuberculosis drug-induced liver injury in japanese patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4917605/ https://www.ncbi.nlm.nih.gov/pubmed/27340556 http://dx.doi.org/10.1038/hgv.2016.14 |
work_keys_str_mv | AT mushirodataisei developmentofapredictionsystemforantituberculosisdruginducedliverinjuryinjapanesepatients AT yanaihideki developmentofapredictionsystemforantituberculosisdruginducedliverinjuryinjapanesepatients AT yoshiyamatakashi developmentofapredictionsystemforantituberculosisdruginducedliverinjuryinjapanesepatients AT sasakiyuka developmentofapredictionsystemforantituberculosisdruginducedliverinjuryinjapanesepatients AT okumuramasao developmentofapredictionsystemforantituberculosisdruginducedliverinjuryinjapanesepatients AT ogatahideo developmentofapredictionsystemforantituberculosisdruginducedliverinjuryinjapanesepatients AT tokunagakatsushi developmentofapredictionsystemforantituberculosisdruginducedliverinjuryinjapanesepatients |