Evidence map›Paper›PMID 35380903›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Chemical-genetic interaction mapping links carbon metabolism and cell wall structure to tuberculosis drug efficacy.

Eun-Ik Koh, Peter O Oluoch, Nadine Ruecker, Megan K Proulx, Vijay Soni, Kenan C Murphy, Kadamba Papavinasasundaram, Charlotte J Reames, Carolina Trujillo, Anisha Zaveri and 14 more

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.7field-weighted citation impact, top 5% 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

30 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Impact of Diabetes Mellitus in Tuberculosis (TB) Patients on TB Transmission.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  5. Article
  6. Heteroresistance inFrontiers in cellular and infection microbiology · 2026
    Review
  7. Article
  8. Pyrazinamide killsbioRxiv : the preprint server for biology · 2025
    Article
  9. NProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Article
  11. Article
  12. 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
  13. Article
  14. Building Spatiotemporal Understanding ofACS infectious diseases · 2025
    Review
  15. Article
  16. Article
  17. Article
  18. The PDIM paradox ofbioRxiv : the preprint server for biology · 2023
    Article
  19. Review
  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

24 authors at 7 institutions in 1 country.

Eun-Ik KohDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, MA 01655.ORCID 0000-0003-2220-5229
Peter O OluochDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, MA 01655.
Nadine RueckerDepartment of Microbiology and Immunology, Weill Cornell Medical College, New York, NY 10065.
Megan K ProulxDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, MA 01655.
Vijay SoniDepartment of Microbiology and Immunology, Weill Cornell Medical College, New York, NY 10065.
Kenan C MurphyDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, MA 01655.
Kadamba PapavinasasundaramDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, MA 01655.ORCID 0000-0001-7837-1344
Charlotte J ReamesDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, MA 01655.ORCID 0000-0001-5579-5881
Carolina TrujilloDepartment of Microbiology and Immunology, Weill Cornell Medical College, New York, NY 10065.
Anisha ZaveriDepartment of Microbiology and Immunology, Weill Cornell Medical College, New York, NY 10065.
Matthew D ZimmermanCenter for Discovery and Innovation, Hackensack Meridian Health, Nutley, NJ 07110.
Roshanak AslebaghDepartment of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA 01655.
Richard E BakerDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, MA 01655.
Scott A ShafferDepartment of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA 01655.ORCID 0000-0002-5264-3257
Kristine M GuinnDepartment of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA 02115.
Michael FitzgeraldBroad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142.
Véronique DartoisCenter for Discovery and Innovation, Hackensack Meridian Health, Nutley, NJ 07110.ORCID 0000-0001-9470-5009
Sabine EhrtDepartment of Microbiology and Immunology, Weill Cornell Medical College, New York, NY 10065.ORCID 0000-0002-7951-2310
Deborah T HungBroad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142.
Thomas R IoergerDepartment of Computer Science and Engineering, Texas A&M University, College Station, TX 77840.
Eric J RubinDepartment of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA 02115.
Kyu Y RheeDepartment of Microbiology and Immunology, Weill Cornell Medical College, New York, NY 10065.
Dirk SchnappingerDepartment of Microbiology and Immunology, Weill Cornell Medical College, New York, NY 10065.
Christopher M SassettiDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, MA 01655.ORCID 0000-0001-6178-4329
University of Massachusetts Chan Medical School · USCornell University · USBroad Institute · USHarvard University · USHackensack Meridian Health · USHackensack University Medical Center · USTexas A&M University · US

Funding

Vulnerabilities in Mycobacterial Cell-Wall BiogenesisP01AI095208 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI SACCHETTINI, JAMES C · 2012 to 2022
$19.8M
NIAID NIH HHS P01 AI095208
6 · The paper itself

Abstract

Current chemotherapy against Mycobacterium tuberculosis (Mtb), an important human pathogen, requires a multidrug regimen lasting several months. While efforts have been made to optimize therapy by exploiting drug–drug synergies, testing new drug combinations in relevant host environments remains arduous. In particular, host environments profoundly affect the bacterial metabolic state and drug efficacy, limiting the accuracy of predictions based on in vitro assays alone. In this study, we utilized conditional Mtb knockdown mutants of essential genes as an experimentally tractable surrogate for drug treatment and probe the relationship between Mtb carbon metabolism and chemical–genetic interactions (CGIs). We examined the antitubercular drugs isoniazid, rifampicin, and moxifloxacin and found that CGIs are differentially responsive to the metabolic state, defining both environment-independent and -dependent interactions. Specifically, growth on the in vivo–relevant carbon source, cholesterol, reduced rifampicin efficacy by altering mycobacterial cell surface lipid composition. We report that a variety of perturbations in cell wall synthesis pathways restore rifampicin efficacy during growth on cholesterol, and that both environment-independent and cholesterol-dependent in vitro CGIs could be leveraged to enhance bacterial clearance in the mouse infection model. Our findings present an atlas of chemical–genetic–environmental interactions that can be used to optimize drug–drug interactions, as well as provide a framework for understanding in vitro correlates of in vivo efficacy.

Indexed as

Antitubercular AgentsCarbonCell WallDrug InteractionsGene-Environment InteractionMycobacterium tuberculosisHumansAntitubercular AgentsCarbonantibioticscarbon metabolismchemical–genetic interactionsMycobacterium tuberculosis

Identifiers

PMID35380903
PMCPMC9169745
OpenAlexW4224143544

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.