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...

Descripción completa

Detalles Bibliográficos
Autores principales: Mushiroda, Taisei, Yanai, Hideki, Yoshiyama, Takashi, Sasaki, Yuka, Okumura, Masao, Ogata, Hideo, Tokunaga, Katsushi
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