Evidence map›Paper›PMID 39932930›Full record

ArticlePloS one2025

Bacterial targets of fecal host miRNAs in high-fat diet-fed mice.

Laila Silamiķele, Ivars Silamiķelis, Patrīcija Paulīne Kotoviča, Jānis Kloviņš

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Laila SilamiķeleLatvian Biomedical Research and Study Centre, Riga, Latvia.ORCID https://orcid.org/0000-0003-2550-0434
Ivars SilamiķelisLatvian Biomedical Research and Study Centre, Riga, Latvia.
Patrīcija Paulīne KotovičaLatvian Biomedical Research and Study Centre, Riga, Latvia.
Jānis KloviņšLatvian Biomedical Research and Study Centre, Riga, Latvia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gut microbiome composition is intricately linked to the host's health status, yet the mechanisms underlying its interaction with the host are not fully understood. MicroRNAs (miRNAs), facilitating intercellular communication, are found in bodily fluids, including the intestinal content, where they may affect the microbiome. However, their role in type 2 diabetes (T2D)-associated microbiome and treatment implications are not explored. Our study investigated how host miRNAs may influence gut microbiome changes related to metformin treatment in a T2D mouse model. Analyzing fecal and gut mucosal samples via small RNA sequencing, we correlated results with microbiome sequencing data, identifying miRNA-microbiome correlations, bacterial targets, and proteins targeted in these bacteria. Significant differences in miRNA expression based on diet and intestinal location were noted, with minor effects from metformin treatment in the proximal small intestine of non-diabetic male mice. Key fecal miRNAs targeting bacteria included mmu-miR-5119, mmu-miR-5126, mmu-miR-6538, and mmu-miR-2137, primarily affecting Oscillospiraceae_NOV, Lachnospiraceae_NOV, and Bacteroides. Our analysis of targeted proteins revealed diverse biological and molecular effects. Further research into miRNA-bacteria interactions could lead to new strategies for manipulating the gut microbiome in T2D and beyond.

Indexed as

BacteriaDiabetes Mellitus, Type 2Diet, High-FatFecesGastrointestinal MicrobiomeMicroRNAsAnimalsMaleMetforminMiceMice, Inbred C57BLMetforminMicroRNAs

Identifiers

PMID39932930
PMCPMC11813116

What OpenQuestion holds

Texttitle and abstract
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 OpenQuestion graph.