Evidence map›Paper›PMID 36908281›Full record

ReviewMicrobial cell (Graz, Austria)2023

The metabolites of lactic acid bacteria: classification, biosynthesis and modulation of gut microbiota.

Huang Tang, Wanqiu Huang, Yu-Feng Yao

Abstract readReview
In one paragraph

Review in Microbial cell (Graz, Austria), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 2 pooled it
–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

73 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Nutrients · 2026
    Trial
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  6. Review
  7. Article
  8. Review
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  10. Article
  11. Kimchi ProbioticJournal of microbiology and biotechnology · 2026
    Article
  12. Article
  13. Article
  14. Genomic Insights and Inactivation Strategies forFoods (Basel, Switzerland) · 2026
    Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review

13 more citing papers are in PubMed but not listed here.

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.

Huang TangShanghai Institute of Immunology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Wanqiu HuangShanghai Institute of Immunology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Yu-Feng YaoShanghai Institute of Immunology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lactic acid bacteria (LAB) are ubiquitous microorganisms that can colonize the intestine and participate in the physiological metabolism of the host. LAB can produce a variety of metabolites, including organic acids, bacteriocin, amino acids, exopolysaccharides and vitamins. These metabolites are the basis of LAB function and have a profound impact on host health. The intestine is colonized by a large number of gut microorganisms with high species diversity. Metabolites of LAB can keep the balance and stability of gut microbiota through aiding in the maintenance of the intestinal epithelial barrier, resisting to pathogens and regulating immune responses, which further influence the nutrition, metabolism and behavior of the host. In this review, we summarize the metabolites of LAB and their influence on the intestine. We also discuss the underlying regulatory mechanisms and emphasize the link between LAB and the human gut from the perspective of health promotion.

Indexed as

gut microbiotaimmune systemlactic acid bacteriametabolites

Identifiers

PMID36908281
PMCPMC9993431

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.