Evidence map›Paper›PMID 34075086›Full record

ArticleScientific reports2021

Comparative analysis of the gut microbiota of mice fed a diet supplemented with raw and cooked beef loin powder.

Hye-Jin Kim, Dongwook Kim, Kwan-Woo Kim, Sang-Hoon Lee, Aera Jang

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Review
  5. 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

5 authors.

Hye-Jin KimDepartment of Applied Animal Science, College of Animal Life Science, Kangwon National University, Chuncheon, 24341, Korea.
Dongwook KimDepartment of Applied Animal Science, College of Animal Life Science, Kangwon National University, Chuncheon, 24341, Korea.
Kwan-Woo KimAnimal Genetic Resources Research Center, National Institute of Animal Science, RDA, Hamyang, 50000, Korea.
Sang-Hoon LeeAnimal Genetic Resources Research Center, National Institute of Animal Science, RDA, Hamyang, 50000, Korea.
Aera JangDepartment of Applied Animal Science, College of Animal Life Science, Kangwon National University, Chuncheon, 24341, Korea. ajang@kangwon.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We used 16S ribosomal RNA sequencing to evaluate changes in the gut microbiota of mice fed a diet supplemented with either raw or cooked beef loin powder for 9 weeks. Male BALB/c mice (n = 60) were randomly allocated to five groups: mice fed AIN-93G chow (CON), chow containing 5% (5RB) and 10% (10RB) raw beef loin powder, and chow containing 5% (5CB) and 10% (10CB) cooked beef loin powder. Dietary supplementation with both RB and CB increased the relative abundance of Clostridiales compared to the CON diet (p < 0.05). Mice fed 10RB showed a significantly higher relative abundance of Firmicutes (p = 0.018) and Lactobacillus (p = 0.001) than CON mice, and the ratio of Firmicutes/Bacteroidetes showed an increasing trend in the 10RB mice (p > 0.05). Mice fed 10CB showed a higher abundance of Peptostreptococcaceae and a lower abundance of Desulfovibrionaceae compared with the CON mice (p < 0.05). Genes for glycan biosynthesis, which result in short-chain fatty acid synthesis, were enriched in the CB mice compared to the RB mice, which was correlated to a high abundance of Bacteroides. Overall, dietary RB and CB changed the gut microbiota of mice (p < 0.05).

Indexed as

Animal FeedCookingGastrointestinal MicrobiomeRed MeatAnimalsMaleMiceMice, Inbred BALB C

Identifiers

PMID34075086
PMCPMC8169908

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Registered trials

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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.