Evidence map›Paper›PMID 28597811›Full record

ReviewMicrobiology spectrum2017

Michael Berney, Linda Berney-Meyer

Open access · greenAbstract readReview
In one paragraph

Review in Microbiology spectrum, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
1.6field-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

33 citing papers in PubMed, 46 citations in OpenAlex.

  1. Isotopic tracing inVirulence · 2026
    Article
  2. A Pilot Proteomics Analysis ofInternational journal of molecular sciences · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Inorganic sulfate is critical forProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Vitamin BMicrobiology spectrum · 2024
    Article
  14. Review
  15. Metabolic Rewiring ofMetabolites · 2024
    Review
  16. Review
  17. Microbiology spectrum · 2023
    Article
  18. Article
  19. Article
  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

2 authors at 1 institution in 1 country.

Michael BerneyAlbert Einstein College of Medicine, Department of Microbiology and Immunology, New York, NY 10461.
Linda Berney-MeyerAlbert Einstein College of Medicine, Department of Microbiology and Immunology, New York, NY 10461.
Albert Einstein College of Medicine · US

Funding

Inhibition of methionine biosynthesis eliminates persistent M. tuberculosis.R21AI119573 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI BERNEY, MICHAEL · 2016 to 2017
$459k
NIAID NIH HHS R21 AI119573
6 · The paper itself

Abstract

Coevolution of pathogens and host has led to many metabolic strategies employed by intracellular pathogens to deal with the immune response and the scarcity of food during infection. Simply put, bacterial pathogens are just looking for food. As a consequence, the host has developed strategies to limit nutrients for the bacterium by containment of the intruder in a pathogen-containing vacuole and/or by actively depleting nutrients from the intracellular space, a process called nutritional immunity. Since metabolism is a prerequisite for virulence, such pathways could potentially be good targets for antimicrobial therapies. In this chapter, we review the current knowledge about the

Indexed as

Amino AcidsAntitubercular AgentsCoenzymesHost-Pathogen InteractionsIntracellular SpaceMacrophagesMetabolomicsMycobacterium tuberculosisNutritional Physiological PhenomenaPurinesTuberculosisVacuolesVirulenceAmino AcidsAntitubercular AgentsCoenzymespurinePurines

Identifiers

PMID28597811
PMCPMC5550832
OpenAlexW2623496986

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.