Evidence map›Paper›PMID 33160314›Full record

ReviewMolecular medicine (Cambridge, Mass.)2020

The roles of the gut microbiota-miRNA interaction in the host pathophysiology.

Meihong Li, Wei-Dong Chen, Yan-Dong Wang

Abstract readReview
In one paragraph

Review in Molecular medicine (Cambridge, Mass.), 2020. 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.

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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.

Meihong LiState Key Laboratory of Chemical Resource Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, People's Republic of China.
Wei-Dong ChenKey Laboratory of Molecular Pathology, School of Basic Medical Science, Inner Mongolia Medical University, Hohhot, Inner Mongolia, People's Republic of China. wdchen666@163.com.
Yan-Dong WangState Key Laboratory of Chemical Resource Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, People's Republic of China. ydwangbuct2009@163.com.ORCID 0000-0003-2293-5854

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gut microbiota regulates the biological processes of organisms acting like 'another' genome, affecting the health and disease of the host. MicroRNAs, as important physiological regulators, have been found to be involved in health and disease. Recently, the gut microbiota has been reported to affect host health by regulating host miRNAs. For example, Fusobacterium nucleatum could aggravate chemoresistance of colorectal cancer by decreasing the expression of miR-18a* and miR-4802. What's more, miRNAs can shape the gut microbiota composition, ultimately affecting the host's physiology and disease. miR-515-5p and miR-1226-5p could promote the growth of Fusobacterium nucleatum (Fn) and Escherichia coli (E.coli), which have been reported to drive colorectal cancer. Here, we will review current findings of the interactions between the gut microbiota and microRNAs and discuss how the gut microbiota-microRNA interactions affect host pathophysiology including intestinal, neurological, cardiovascular, and immune health and diseases.

Indexed as

Disease SusceptibilityGastrointestinal MicrobiomeHost-Pathogen InteractionsAnimalsHomeostasisHumansIntestinal MucosaMicroRNAsOrgan SpecificityMicroRNAsGut microbiotaHost pathophysiologymiRNA

Identifiers

PMID33160314
PMCPMC7648389

What OpenQuestion holds

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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.