Evidence map›Paper›PMID 32753506›Full record

ArticlemSystems2020

Distinct Bacterial Pathways Influence the Efficacy of Antibiotics against Mycobacterium tuberculosis.

Michelle M Bellerose, Megan K Proulx, Clare M Smith, Richard E Baker, Thomas R Ioerger, Christopher M Sassetti

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
1.1field-weighted citation impact, top 13% 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

40 citing papers in PubMed, 62 citations in OpenAlex.

  1. Isotopic tracing inVirulence · 2026
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  3. A new Persister Enrichment Model inbioRxiv : the preprint server for biology · 2026
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  6. Genetic determinants ofMicrobiology spectrum · 2025
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  10. Chemical genetic interactions elucidate pathways controlling tuberculosis antibiotic efficacy during infection.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Building Spatiotemporal Understanding ofACS infectious diseases · 2025
    Review
  12. Progress of single-cell sequencing technology in immunotherapy for tuberculosis.Frontiers in cellular and infection microbiology · 2025
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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 2 institutions in 1 country.

Michelle M BelleroseDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, Massachusetts, USA.ORCID https://orcid.org/0000-0003-0232-9953
Megan K ProulxDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, Massachusetts, USA.ORCID https://orcid.org/0000-0002-9524-8302
Clare M SmithDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, Massachusetts, USA.ORCID https://orcid.org/0000-0003-2601-0955
Richard E BakerDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Thomas R IoergerDepartment of Computer Science and Engineering, Texas A&M University, College Station, Texas, USA.
Christopher M SassettiDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, Massachusetts, USA Christopher.Sassetti@umassmed.edu.
University of Massachusetts Chan Medical School · USTexas A&M University · US

Funding

Vulnerabilities in Mycobacterial Cell-Wall BiogenesisP01AI095208 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI ZHANG, JUNJIE · 2012 to 2022
$19.8M
Gerome Wide Association Study of Bacterial Determinants of Clinical Response in TuberculosisU19AI142793 · NIAID · HARVARD MEDICAL SCHOOL · PI MURRAY, MEGAN B · 2019 to 2023
$14.6M
TRAINING IN IMMUNOLOGY (COMPETITIVE RENEWAL OF AI07439)T32AI007349 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI STERN, LAWRENCE J. · 1989 to 2024
$4.5M
NIAID NIH HHS P01 AI095208NIAID NIH HHS T32 AI007349NIAID NIH HHS U19 AI142793
6 · The paper itself

Abstract

Effective tuberculosis treatment requires at least 6 months of combination therapy. Alterations in the physiological state of the bacterium during infection are thought to reduce drug efficacy and prolong the necessary treatment period, but the nature of these adaptations remain incompletely defined. To identify specific bacterial functions that limit drug effects during infection, we employed a comprehensive genetic screening approach to identify mutants with altered susceptibility to the first-line antibiotics in the mouse model. We identified many mutations that increase the rate of bacterial clearance, suggesting new strategies for accelerating therapy. In addition, the drug-specific effects of these mutations suggested that different antibiotics are limited by distinct factors. Rifampin efficacy is inferred to be limited by cellular permeability, whereas isoniazid is preferentially affected by replication rate. Many mutations that altered bacterial clearance in the mouse model did not have an obvious effect on drug susceptibility using

Indexed as

antibiotic treatmenthost-microbe interactionsmicrobial genomicsMycobacterium tuberculosis

Identifiers

PMID32753506
PMCPMC7406225
OpenAlexW3047103653

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.