Evidence map›Paper›PMID 26282412›Full record

ArticleAntimicrobial agents and chemotherapy2015

Population pharmacokinetic analysis of isoniazid, acetylisoniazid, and isonicotinic acid in healthy volunteers.

Kok-Yong Seng, Kim-Hor Hee, Gaik-Hong Soon, Nicholas Chew, Saye H Khoo, Lawrence Soon-U Lee

Open access · bronzeAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 10% 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, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.

  1. Pooled it
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  4. Trial
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  6. Trial
  7. Pharmacogenomic heterogeneity ofAnnals of medicine · 2025
    Observational
  8. Case Report: Disseminated Tuberculosis After Kidney Transplantation.The American journal of tropical medicine and hygiene · 2024
    Article
  9. Precision Medicine Strategies to Improve Isoniazid Therapy in Patients with Tuberculosis.European journal of drug metabolism and pharmacokinetics · 2024
    Review
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  20. Isoniazid acetylation phenotypes in the Sudanese population; findings and implications.Journal of clinical tuberculosis and other mycobacterial diseases · 2019
    Article
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

6 authors at 4 institutions in 2 countries.

Kok-Yong SengYong Loo Lin School of Medicine, National University of Singapore, Singapore Defence Medical and Environmental Research Institute, DSO National Laboratories, Singapore.
Kim-Hor HeeYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Gaik-Hong SoonYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Nicholas ChewYong Loo Lin School of Medicine, National University of Singapore, Singapore National University Health System, Singapore.
Saye H KhooUniversity of Liverpool, Liverpool, United Kingdom.
Lawrence Soon-U LeeYong Loo Lin School of Medicine, National University of Singapore, Singapore National University Health System, Singapore lawrence_lee@nuhs.edu.sg.
National University of Singapore · SGDSO National Laboratories · SGNational University Health System · SGUniversity of Liverpool · GB

Funding

Medical Research Council G0901364
6 · The paper itself

Abstract

In this study, we aimed to quantify the effects of the N-acetyltransferase 2 (NAT2) phenotype on isoniazid (INH) metabolism in vivo and identify other sources of pharmacokinetic variability following single-dose administration in healthy Asian adults. The concentrations of INH and its metabolites acetylisoniazid (AcINH) and isonicotinic acid (INA) in plasma were evaluated in 33 healthy Asians who were also given efavirenz and rifampin. The pharmacokinetics of INH, AcINH, and INA were analyzed using nonlinear mixed-effects modeling (NONMEM) to estimate the population pharmacokinetic parameters and evaluate the relationships between the parameters and the elimination status (fast, intermediate, and slow acetylators), demographic status, and measures of renal and hepatic function. A two-compartment model with first-order absorption best described the INH pharmacokinetics. AcINH and INA data were best described by a two- and a one-compartment model, respectively, linked to the INH model. In the final model for INH, the derived metabolic phenotypes for NAT2 were identified as a significant covariate in the INH clearance, reducing its interindividual variability from 86% to 14%. The INH clearance in fast eliminators was 1.9- and 7.7-fold higher than in intermediate and slow eliminators, respectively (65 versus 35 and 8 liters/h). Creatinine clearance was confirmed as a significant covariate for AcINH clearance. Simulations suggested that the current dosing guidelines (200 mg for 30 to 45 kg and 300 mg for >45 kg) may be suboptimal (3 mg/liter ≤ Cmax ≤ 6 mg/liter) irrespective of the acetylator class. The analysis established a model that adequately characterizes INH, AcINH, and INA pharmacokinetics in healthy Asians. Our results refine the NAT2 phenotype-based predictions of the pharmacokinetics for INH.

Indexed as

Arylamine N-AcetyltransferaseChromatography, LiquidCross-Over StudiesGenotypeHealthy VolunteersHumansIsoniazidIsonicotinic AcidsPolymorphism, Single NucleotideProspective StudiesTandem Mass SpectrometryacetylisoniazidArylamine N-AcetyltransferaseIsoniazidIsonicotinic Acids

Identifiers

PMID26282412
PMCPMC4604378
OpenAlexW1959094362

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.