Evidence map›Paper›PMID 28622844›Full record

ReviewTrends in microbiology2017

Antimycobacterial Metabolism: Illuminating Mycobacterium tuberculosis Biology and Drug Discovery.

Divya Awasthi, Joel S Freundlich

Abstract readReview
In one paragraph

Review in Trends in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Biomarker discovery for tuberculosis using metabolomics.Frontiers in molecular biosciences · 2023
    Review
  8. Redesign of Rifamycin Antibiotics to Overcome ADP-Ribosylation-Mediated Resistance.Angewandte Chemie (International ed. in English) · 2022
    Article
  9. Review
  10. Article
  11. Article
  12. TargetingACS infectious diseases · 2021
    Article
  13. Article
  14. Deciphering the mechanism of action of antitubercular compounds with metabolomics.Computational and structural biotechnology journal · 2021
    Review
  15. Article
  16. Morphological profiling of tubercle bacilli identifies drug pathways of action.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  17. Article
  18. Article
  19. Article
  20. Microbiology spectrum · 2019
    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

2 authors.

Divya AwasthiDepartment of Pharmacology, Physiology and Neuroscience, Rutgers University - New Jersey Medical School, Newark, NJ, USA.
Joel S FreundlichDepartment of Pharmacology, Physiology and Neuroscience, Rutgers University - New Jersey Medical School, Newark, NJ, USA; Division of Infectious Disease, Department of Medicine, and the Ruy V. Lourenco Center for the Study of Emerging and Reemerging Pathogens, Rutgers University - New Jersey Medical School, Newark, NJ, USA. Electronic address: freundjs@rutgers.edu.

Funding

Therapeutics for drug resistant-bacteria: Arylpropionyl-phloroglucinolsU19AI109713 · NIAID · RBHS-NEW JERSEY MEDICAL SCHOOL · PI PERLIN, DAVID S · 2014 to 2018
$26.9M
NIAID NIH HHS U19 AI109713
6 · The paper itself

Abstract

Bacteria are capable of performing a number of biotransformations that may activate or deactivate xenobiotics. Recent efforts have utilized metabolomics techniques to study the fate of small-molecule antibacterials within the targeted organism. Examples involving Mycobacterium tuberculosis are reviewed and analyzed with regard to the insights they provide as to both activation and deactivation of the antibacterial. The studies, in particular, shed light on biosynthetic transformations performed by M. tuberculosis while suggesting avenues for the evolution of chemical tools, highlighting potential areas for drug discovery, and mechanisms of approved drugs. A two-pronged approach investigating the metabolism of antibacterials within both the host and bacterium is outlined and will be of value to both the chemical biology and drug discovery fields.

Indexed as

Drug DiscoveryAntitubercular AgentsBiotransformationHost-Pathogen InteractionsHumansMetabolomicsMycobacterium tuberculosisSmall Molecule LibrariesAntitubercular AgentsSmall Molecule Librariesantibacterialbiotransformationmetabolismmetabolomicssmall moleculetuberculosis

Identifiers

PMID28622844
PMCPMC5564221

What OpenQuestion holds

Textmetadata
LicenceTDM
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.