Evidence map›Paper›PMID 17438043›Full record

ArticleAntimicrobial agents and chemotherapy2007

Isoniazid bactericidal activity and resistance emergence: integrating pharmacodynamics and pharmacogenomics to predict efficacy in different ethnic populations.

Tawanda Gumbo, Arnold Louie, Weiguo Liu, David Brown, Paul G Ambrose, Sujata M Bhavnani, George L Drusano

Open access · greenAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed, 6 pooled it
2.4field-weighted citation impact, top 12% 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

93 citing papers in PubMed, 6 syntheses or guidelines pooled it, 161 citations in OpenAlex.

  1. Pooled it
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  4. d-Cycloserine Pharmacokinetics/Pharmacodynamics, Susceptibility, and Dosing Implications in Multidrug-resistant Tuberculosis: A Faustian Deal.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018
    Pooled it
  5. Pooled it
  6. Meta-analysis of clinical studies supports the pharmacokinetic variability hypothesis for acquired drug resistance and failure of antituberculosis therapy.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2012
    Pooled it
  7. Trial
  8. Trial
  9. Article
  10. GEODE: anFrontiers in pharmacology · 2025
    Article
  11. Article
  12. A Nanopore Sequencing-based Pharmacogenomic Panel to Personalize Tuberculosis Drug Dosing.American journal of respiratory and critical care medicine · 2024
    Article
  13. Article
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  17. Isoniazid and rifampicin exposure during treatment in drug-susceptible TB.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2023
    Article
  18. Article
  19. Article
  20. Article

33 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 1 country.

Tawanda GumboDivision of Infectious Diseases, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390-9113, USA. Tawanda.Gumbo@UTSouthwestern.edu
Arnold Louie
Weiguo Liu
David Brown
Paul G Ambrose
Sujata M Bhavnani
George L Drusano
Institute for Clinical Pharmacodynamics (United States) · USThe University of Texas Southwestern Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Isoniazid, administered as part of combination antituberculosis therapy, is responsible for most of the early bactericidal activity (EBA) of the regimen. However, the emergence of Mycobacterium tuberculosis resistance to isoniazid is a major problem. We examined the relationship between isoniazid exposure and M. tuberculosis microbial kill, as well as the emergence of resistance, in our in vitro pharmacodynamic model of tuberculosis. Since single-nucleotide polymorphisms of the N-acetyltransferase-2 gene lead to two different clearances of isoniazid from serum in patients, we simulated the isoniazid concentration-time profiles encountered in both slow and fast acetylators. Both microbial kill and the emergence of resistance during monotherapy were associated with the ratio of the area under the isoniazid concentration-time curve from 0 to 24 h (AUC(0-24)) to the isoniazid MIC. The time in mutant selection window hypothesis was rejected. Next, we utilized the in vitro relationship between the isoniazid AUC(0-24)/MIC ratio and microbial kill, the distributions of isoniazid clearance in populations with different percentages of slow and fast acetylators, and the distribution of isoniazid MICs for isonazid-susceptible M. tuberculosis clinical isolates in Monte Carlo simulations to calculate the EBA expected for approximately 10,000 patients treated with 300 mg of isoniazid. For those patient populations in which the proportion of fast acetylators and the isoniazid MICs were high, the average EBA of the standard dose was approximately 0.3 log(10) CFU/ml/day and was thus suboptimal. Our approach, which utilizes preclinical pharmacodynamics and the genetically determined multimodal distributions of serum clearances, is a preclinical tool that may be able to predict the EBAs of various doses of new antituberculosis drugs.

Indexed as

Drug Resistance, BacterialPharmacogeneticsAntitubercular AgentsArea Under CurveColony Count, MicrobialComputer SimulationDose-Response Relationship, DrugEthnicityHumansIsoniazidMicrobial Sensitivity TestsModels, BiologicalMonte Carlo MethodMutationMycobacterium tuberculosisTime FactorsAntitubercular AgentsIsoniazid

Identifiers

PMID17438043
PMCPMC1913269
OpenAlexW2116200710

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.