Evidence map›Paper›PMID 32949007›Full record

ReviewFolia microbiologica2021

Bacterial cross talk with gut microbiome and its implications: a short review.

Rajesh P Shastry, P D Rekha

Abstract readReview
PubMed Publisher
In one paragraph

Review in Folia microbiologica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  5. Review
  6. Journal of pharmacy & bioallied sciences · 2024
    Article
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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.

Rajesh P ShastryYenepoya Research Centre, Yenepoya (Deemed to be University), University Road, Deralakatte, Mangalore, 575018, India. rpshastry@yenepoya.edu.in.ORCID http://orcid.org/0000-0001-8627-9759
P D RekhaYenepoya Research Centre, Yenepoya (Deemed to be University), University Road, Deralakatte, Mangalore, 575018, India.
Yenepoya University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human gut microbiota exists in a complicated symbiotic relationship which postulates to impact health and disease conditions on the host. Interestingly, the gut microbiome shows different mechanisms to regulate host physiology and metabolism including cell-to-cell communications. But microbiota imbalance is characterized to change in the host normal functioning and lead to the development and progression of major human diseases. Therefore, the direct cross talk through the microbial metabolites or peptides suggests the evidence of host health and disease. Recent reports highlight the adaptation signals/small molecules promoting microbial colonization which allows modulating immunity of host and leads to pathogen colonization. Moreover, quorum sensing peptides are also evident in the involvement of host disease conditions. Here, we review the current understanding of the gut microbiota cross talk with mammalian cells through metabolites and peptides. These studies are providing insight into the prediction of signature molecules which significantly provide information for the understanding of the interaction for precision medicine applications.

Indexed as

Bacterial Physiological PhenomenaAnimalsBacteriaBiomarkersDysbiosisGastrointestinal MicrobiomeHumansImmunomodulationQuorum SensingSignal TransductionBiomarkersCross talkGut microbiomeImmunityPeptidesQuorum sensing

Identifiers

PMID32949007
OpenAlexW3087018265

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.