Evidence map›Paper›PMID 31509891›Full record

ArticleCellular microbiology2020

NAD hydrolysis by the tuberculosis necrotizing toxin induces lethal oxidative stress in macrophages.

David Pajuelo, Norberto Gonzalez-Juarbe, Michael Niederweis

Open access · greenAbstract read
In one paragraph

Article in Cellular microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.2field-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

21 citing papers in PubMed, 35 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Review
  4. Zinc-limitedInfection and immunity · 2025
    Article
  5. Article
  6. Review
  7. Review
  8. Virulence Factors ofPathogens (Basel, Switzerland) · 2023
    Review
  9. The cause-effect relation of tuberculosis on incidence of diabetes mellitus.Frontiers in cellular and infection microbiology · 2023
    Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Pathogen induced subversion of NADCell death discovery · 2021
    Article
  17. NADFrontiers in molecular biosciences · 2021
    Review
  18. Review
  19. NADSignal transduction and targeted therapy · 2020
    Review
  20. 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

3 authors at 2 institutions in 1 country.

David PajueloDepartment of Microbiology, University of Alabama at Birmingham, Birmingham, AL, USA.ORCID 0000-0003-4852-7453
Norberto Gonzalez-JuarbeDepartment of Microbiology, University of Alabama at Birmingham, Birmingham, AL, USA.
Michael NiederweisDepartment of Microbiology, University of Alabama at Birmingham, Birmingham, AL, USA.ORCID 0000-0003-4068-8092
University of Alabama at Birmingham · USJ. Craig Venter Institute · US

Funding

The necrosis-inducing toxin of Mycobacterium tuberculosisR01AI121354 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI NIEDERWEIS, MICHAEL · 2016 to 2020
$2.5M
NIAID NIH HHS R01 AI121354
6 · The paper itself

Abstract

Mycobacterium tuberculosis (Mtb) kills infected macrophages through necroptosis, a programmed cell death that enhances mycobacterial replication and dissemination. The tuberculosis necrotizing toxin (TNT) is the major cytotoxicity factor of Mtb in macrophages and induces necroptosis by NAD

Indexed as

Oxidative StressBacterial ToxinsHumansHydrolysisJurkat CellsMacrophagesMycobacterium tuberculosisNADNAD+ NucleosidaseNecroptosisReactive Oxygen SpeciesTHP-1 CellsBacterial ToxinsNADNAD+ NucleosidaseReactive Oxygen Speciesmacrophagesnecroptosisnicotinamide adenine dinucleotidereactive oxygen speciesTNT

Identifiers

PMID31509891
PMCPMC6925628
OpenAlexW2972933827

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.