Evidence map›Paper›PMID 32265707›Full record

ArticleFrontiers in pharmacology2020

Both Pharmacokinetic Variability and Granuloma Heterogeneity Impact the Ability of the First-Line Antibiotics to Sterilize Tuberculosis Granulomas.

Joseph M Cicchese, Véronique Dartois, Denise E Kirschner, Jennifer J Linderman

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
0.7field-weighted citation impact, top 18% 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

27 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
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  3. bioRxiv : the preprint server for biology · 2026
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  11. GEODE: anFrontiers in pharmacology · 2025
    Article
  12. Article
  13. [Characterization of a 3-dimensional tuberculosis spheroid model constructed using human monocytic THP-1 cells andNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2023
    Article
  14. Article
  15. Article
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  19. Article
  20. A Review: Antimicrobial Therapy for Human Pythiosis.Antibiotics (Basel, Switzerland) · 2022
    Review
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

4 authors at 2 institutions in 1 country.

Joseph M CiccheseDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI, United States.
Véronique DartoisPublic Health Research Institute, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, NJ, United States.
Denise E KirschnerDepartment of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI, United States.
Jennifer J LindermanDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI, United States.
University of Michigan–Ann Arbor · USHackensack Meridian Health · US

Funding

Target based discovery of next generation pyrazinamideR01AI106398 · NIAID · RBHS-NEW JERSEY MEDICAL SCHOOL · PI DICK, THOMAS · 2013 to 2022
$7.1M
Lesion-centric optimization of multidrug therapies for tuberculosisR01AI150684 · NIAID · TUFTS UNIVERSITY BOSTON · PI ALDRIDGE, BREE BEARDSLEY, KIRSCHNER, DENISE E · 2020 to 2024
$4.2M
Predicting protective T-cell responses in Tuberculosis using a systems biology approachR01AI123093 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FLYNN, JOANNE L., KIRSCHNER, DENISE E · 2016 to 2020
$3.6M
A Multi-scale systems pharmacology approach to TB therapyU01HL131072 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DARTOIS, VERONIQUE, FLYNN, JOANNE L. · 2016 to 2019
$2.9M
A QTRAP 6500 LC-MS/MS System from SCIEX for high accuracy drug content analysisS10OD023524 · OD · RBHS-NEW JERSEY MEDICAL SCHOOL · PI DARTOIS, VERONIQUE · 2017 to 2017
$526k
A MALDI LTQ Orbitrap XL Mass Spectrometer for BioImagingS10OD018072 · OD · RBHS-NEW JERSEY MEDICAL SCHOOL · PI DARTOIS, VERONIQUE · 2015 to 2015
$418k
NHLBI NIH HHS U01 HL131072NIAID NIH HHS R01 AI106398NIAID NIH HHS R01 AI123093NIAID NIH HHS R01 AI150684NIH HHS S10 OD018072NIH HHS S10 OD023524
6 · The paper itself

Abstract

Tuberculosis (TB) remains as one of the world's deadliest infectious diseases despite the use of standardized antibiotic therapies. Recommended therapy for drug-susceptible TB is up to 6 months of antibiotics. Factors that contribute to lengthy regimens include antibiotic underexposure in lesions due to poor pharmacokinetics (PK) and complex granuloma compositions, but it is difficult to quantify how individual antibiotics are affected by these factors and to what extent these impact treatments. We use our next-generation multi-scale computational model to simulate granuloma formation and function together with antibiotic pharmacokinetics and pharmacodynamics, allowing us to predict conditions leading to granuloma sterilization. In this work, we focus on how PK variability, determined from human PK data, and granuloma heterogeneity each quantitatively impact granuloma sterilization. We focus on treatment with the standard regimen for TB of four first-line antibiotics: isoniazid, rifampin, ethambutol, and pyrazinamide. We find that low levels of antibiotic concentration due to naturally occurring PK variability and complex granulomas leads to longer granuloma sterilization times. Additionally, the ability of antibiotics to distribute in granulomas and kill different subpopulations of bacteria contributes to their specialization in the more efficacious combination therapy. These results can inform strategies to improve antibiotic therapy for TB.

Indexed as

agent-based modelisoniazidmulti-scale modelpharmacokinetic/pharmacodynamic (PK/PD) modelrifampintissue distribution

Identifiers

PMID32265707
PMCPMC7105635
OpenAlexW3013328059

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.