Evidence map›Paper›PMID 26911349›Full record

ArticleJournal of human genetics2016

NAT2 variants are associated with drug-induced liver injury caused by anti-tuberculosis drugs in Indonesian patients with tuberculosis.

Rika Yuliwulandari, Retno Wilujeng Susilowati, Britanto Dani Wicaksono, Kencono Viyati, Kinasih Prayuni, Intan Razari, Erna Kristin, Syafrizal, Subagyo, Eva Sri Diana and 6 more

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In one paragraph

Article in Journal of human genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 5 pooled it
14.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 5 syntheses or guidelines pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2019
    Pooled it
  3. Pharmacogenetic association betweenBioscience reports · 2019
    Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Article
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  9. Pharmacogenomic heterogeneity ofAnnals of medicine · 2025
    Observational
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  15. The role ofFrontiers in cellular and infection microbiology · 2023
    Review
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  19. Heliyon · 2021
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 6 institutions in 3 countries.

Rika YuliwulandariDepartment of Pharmacology, Faculty of Medicine, YARSI University, Jakarta Pusat, Indonesia.
Retno Wilujeng SusilowatiDepartment of Histology, Faculty of Medicine, YARSI University, Jakarta Pusat, Indonesia.
Britanto Dani WicaksonoGenomic Medicine Research Group, YARSI Research Institute, YARSI University, Jakarta Pusat, Indonesia.
Kencono ViyatiDepartment of Histology, Faculty of Medicine, YARSI University, Jakarta Pusat, Indonesia.
Kinasih PrayuniGenomic Medicine Research Group, YARSI Research Institute, YARSI University, Jakarta Pusat, Indonesia.
Intan RazariGenomic Medicine Research Group, YARSI Research Institute, YARSI University, Jakarta Pusat, Indonesia.
Erna KristinDepartment of Pharmacology and Therapy, Faculty of Medicine, Gadjah Mada University, Yogyakarta, Indonesia.
SyafrizalPasar Rebo General Hospital, Jakarta Timur, Indonesia.
SubagyoPasar Rebo General Hospital, Jakarta Timur, Indonesia.
Eva Sri DianaPasar Rebo General Hospital, Jakarta Timur, Indonesia.
Suci SetiawatiPasar Rebo General Hospital, Jakarta Timur, Indonesia.
Aziza AriyaniPasar Rebo General Hospital, Jakarta Timur, Indonesia.
Surakameth MahasirimongkolMedical Genetics Section, Department of Medical Sciences, Ministry of Public Health, Nonthaburi, Thailand.
Hideki YanaiFukujuji Hospital, Japan Anti-Tuberculosis Association, Tokyo, Japan.
Taisei MushirodaResearch Group for Pharmacogenomics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.
Katsushi TokunagaDepartment of Human Genetics, School of International Health, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Yarsi University · IDFukujuji Hospital · JPMinistry of Public Health · THRIKEN Center for Integrative Medical Sciences · JPThe University of Tokyo · JPUniversitas Gadjah Mada · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug-induced liver injury (DILI) is the most common adverse drug reaction in the treatment of tuberculosis (TB). Several studies showed that patients with TB and the slow-acetylator phenotype caused by NAT2 variants are highly susceptible to DILI caused by anti-TB drugs, hereafter designated AT-DILI. However, the role of NAT2 variants in AT-DILI has never been assessed for an Indonesian population. We recruited 50 patients with TB and AT-DILI and 191 patients with TB but without AT-DILI; we then used direct DNA sequencing to assess single-nucleotide polymorphisms in the coding region of NAT2. NAT2*6A was significantly associated with susceptibility to AT-DILI (P=7.7 × 10(-4), odds ratio (OR)=4.75 (1.8-12.55)). Moreover, patients with TB and the NAT2-associated slow-acetylator phenotype showed higher risk of AT-DILI than patients with the rapid- or intermediate-acetylator phenotypes (P=1.7 × 10(-4), OR=3.45 (1.79-6.67)). In conclusion, this study confirms the significance of the association between slow-acetylator NAT2 variants and susceptibility to AT-DILI in an Indonesian population.

Indexed as

Genetic Predisposition to DiseaseGenetic VariationAdolescentAdultAgedAllelesAntitubercular AgentsArylamine N-AcetyltransferaseCase-Control StudiesChemical and Drug Induced Liver InjuryFemaleGenotypeHaplotypesHumansIndonesiaMaleAntitubercular AgentsArylamine N-AcetyltransferaseNAT2 protein, human

Identifiers

PMID26911349
OpenAlexW2282488154

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.