Evidence map›Paper›PMID 39576476›Full record

ArticleBulletin of experimental biology and medicine2024

Effects of a Short-Term High-Fat Diet on Microbiota Biodiversity of the Small and Large Intestines of C57BL/6SPF Mice.

A A Zabolotneva, T A Laskina, D N Kharchev, A V Shestopalov

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Article in Bulletin of experimental biology and medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

4 authors.

A A ZabolotnevaPirogov Russian National Research Medical University, Ministry of Health of the Russian Federation, Moscow, Russia. a.zabolotneva@gmail.com.
T A LaskinaPirogov Russian National Research Medical University, Ministry of Health of the Russian Federation, Moscow, Russia.
D N Kharchev"Positive Technologies" JSC, Moscow, Russia.
A V ShestopalovPirogov Russian National Research Medical University, Ministry of Health of the Russian Federation, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-term high-fat diet (HFD) promotes the formation of excess body weight and disorders of lipid metabolism and causes persistent dysbiotic changes in the intestinal microbial community. Changes in eating behavior, endocrine and immune functions of the host are associated with changes in the structure and functional activity of microbial communities. Short-term HFD may also influence the composition and function of the intestinal microbiota, but data on this issue are limited, and most papers are focused on the study of the large intestinal microbiota. The present study examined the effect of short-term HFD (4 weeks) on the structure of microbial communities in the small and large intestines of 24 mice. High-throughput metagenomic sequencing was performed on 48 samples of small and large intestine contents. It was revealed that short-term HFD in mice contributed to impaired glucose tolerance and increased the diversity of microbiota in the colon, but not of the small intestine, and also led to changes in the representation of certain microbial taxa (in particular Tenericutes and Verrucomicrobia). Furthermore, short-term HFD increased blood glucose levels compared to control mice (fed a normal diet), but did not affect lipid metabolism. The results will help to assess the contribution of environmental factors to the structure of microbial communities of the small and large intestines and may also be useful for correcting dysbiotic conditions, including when prescribing therapeutic diets (for example, a ketogenic diet).

Indexed as

Diet, High-FatGastrointestinal MicrobiomeIntestine, LargeIntestine, SmallMice, Inbred C57BLAnimalsBiodiversityBlood GlucoseLipid MetabolismMaleMiceBlood Glucosegut dysbiosishigh fat dietmicrobiota biodiversitymouse large intestinal microbiotamouse small intestinal microbiota

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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.