Evidence map›Paper›PMID 29036176›Full record

ArticlePloS one2017

Association and clinical utility of NAT2 in the prediction of isoniazid-induced liver injury in Singaporean patients.

Sze Ling Chan, Angeline Poh Gek Chua, Folefac Aminkeng, Cynthia Bin Eng Chee, Shengnan Jin, Marie Loh, Suay Hong Gan, Yee Tang Wang, Liam R Brunham

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
5.8field-weighted citation impact, top 4% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 57 citations in OpenAlex.

  1. Pooled it
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  5. Pharmacogenomic heterogeneity ofAnnals of medicine · 2025
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  16. Analytical and Omics-Based Advances in the Study of Drug-Induced Liver Injury.Toxicological sciences : an official journal of the Society of Toxicology · 2021
    Review
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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

9 authors at 3 institutions in 3 countries.

Sze Ling ChanTranslational Laboratory in Genetic Medicine, Agency for Science, Technology and Research, Singapore and the National University of Singapore, Singapore.
Angeline Poh Gek ChuaDepartment of Respiratory Medicine, Tan Tock Seng Hospital, Singapore.ORCID http://orcid.org/0000-0003-4204-1452
Folefac AminkengTranslational Laboratory in Genetic Medicine, Agency for Science, Technology and Research, Singapore and the National University of Singapore, Singapore.ORCID http://orcid.org/0000-0001-8916-9758
Cynthia Bin Eng CheeDepartment of Respiratory Medicine, Tan Tock Seng Hospital, Singapore.
Shengnan JinSchool of Laboratory Medicine and Life Science, Wenzhou Medical University, Wenzhou, China.
Marie LohTranslational Laboratory in Genetic Medicine, Agency for Science, Technology and Research, Singapore and the National University of Singapore, Singapore.
Suay Hong GanDepartment of Respiratory Medicine, Tan Tock Seng Hospital, Singapore.
Yee Tang WangDepartment of Respiratory Medicine, Tan Tock Seng Hospital, Singapore.
Liam R BrunhamTranslational Laboratory in Genetic Medicine, Agency for Science, Technology and Research, Singapore and the National University of Singapore, Singapore.ORCID http://orcid.org/0000-0002-3686-3807
Agency for Science, Technology and Research · SGTan Tock Seng Hospital · SGWenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsIsoniazid (INH) is part of the first-line-therapy for tuberculosis (TB) but can cause drug-induced liver injury (DILI). Several candidate single nucleotide polymorphisms (SNPs) have been previously identified but the clinical utility of these SNPs in the prediction of INH-DILI remains uncertain. The aim of this study was to assess the association between selected candidate SNPs and the risk of INH-DILI and to assess the clinical validity of associated variants in a Singaporean population.

methodsThis was a case-control study where 24 INH-DILI cases and 79 controls were recruited from the TB control unit in a tertiary hospital. Logistic regression was used to test for the association between candidate SNPs and INH-DILI. NAT2 acetylator status was inferred from genotypes and tested for association with INH-DILI. Finally, clinical validity measures were estimated for significant variants.

resultsTwo SNPs in NAT2 (rs1041983 and rs1495741) and NAT2 slow acetylators (SA) were significantly associated with INH-DILI (OR (95% CI) = 13.86 (4.30-44.70), 0.10 (0.03-0.33) and 9.98 (3.32-33.80), respectively). Based on an INH-DILI prevalence of 10%, the sensitivity, specificity, positive and negative predictive values of NAT2 SA were 75%, 78%, 28% and 97%, respectively. The population attributable fraction (PAF) and number needed to test (NNT) for NAT2 SA were estimated to be 0.67 and 4.08, respectively. A model with clinical and NAT2 acetylator status provided significantly better prediction for INH-DILI than a clinical model alone (area under receiver operating characteristic curve = 0.863 vs. 0.766, respectively, p = 0.027).

conclusionsWe show the association between NAT2 SA and INH-DILI in a Singaporean population and demonstrated its clinical utility in the prediction of INH-DILI.

Indexed as

Antitubercular AgentsArylamine N-AcetyltransferaseBiomarkers, PharmacologicalCase-Control StudiesChemical and Drug Induced Liver InjuryFemaleGenetic Predisposition to DiseaseHumansIsoniazidMaleMiddle AgedPolymorphism, Single NucleotidePrognosisSingaporeTuberculosisAntitubercular AgentsArylamine N-AcetyltransferaseBiomarkers, PharmacologicalIsoniazidNAT2 protein, human

Identifiers

PMID29036176
PMCPMC5642896
OpenAlexW2767018077

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.