Evidence map›Paper›PMID 34476387›Full record

ReviewBioelectricity2021

Potential Roles for Gamma-Aminobutyric Acid Signaling in Bacterial Communities.

Sarah J Quillin, Peter Tran, Arthur Prindle

Open access · hybridAbstract readReview
In one paragraph

Review in Bioelectricity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
7.3field-weighted citation impact, top 3% 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

36 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
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  6. Review
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  10. Gene dependence during mammalianMicrobial genomics · 2025
    Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Frontiers in nutrition · 2025
    Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Multitier regulation of theJournal of bacteriology · 2024
    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

3 authors at 1 institution in 1 country.

Sarah J QuillinDepartment of Biochemistry and Molecular Genetics and Center for Synthetic Biology, Northwestern University, Evanston, Illinois, USA.ORCID https://orcid.org/0000-0003-2164-3198
Peter TranDepartment of Chemical and Biological Engineering, Center for Synthetic Biology, Northwestern University, Evanston, Illinois, USA.ORCID https://orcid.org/0000-0002-2232-5979
Arthur PrindleDepartment of Biochemistry and Molecular Genetics and Center for Synthetic Biology, Northwestern University, Evanston, Illinois, USA.ORCID https://orcid.org/0000-0002-8119-9087
Northwestern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is now established that the gut microbiome influences human neurology and behavior, and vice versa. Distinct mechanisms underlying this bidirectional communication pathway, termed the gut-brain axis, are becoming increasingly uncovered. This review summarizes recent interkingdom signaling research focused on gamma-aminobutyric acid (GABA), a human neurotransmitter and ubiquitous signaling molecule found in bacteria, fungi, plants, invertebrates, and mammals. We detail how GABAergic signaling has been shown to be a crucial component of the gut-brain axis. We further describe how GABA is also being found to mediate interkingdom signaling between algae and invertebrates, plants and invertebrates, and plants and bacteria. Based on these emerging results, we argue that obtaining a complete understanding of GABA-mediated communication in the gut-brain axis will involve deciphering the role of GABA signaling and metabolism within bacterial communities themselves.

Indexed as

GABAgut-brain axisinterkingdom signalingmicrobial endocrinology

Identifiers

PMID34476387
PMCPMC8380936
OpenAlexW3176780814

What OpenQuestion holds

Textmetadata
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.