Evidence map›Paper›PMID 32522966›Full record

ArticleJournal of microbiology and biotechnology2020

Changes in Gut Microbial Community of Pig Feces in Response to Different Dietary Animal Protein Media.

Yujeong Jeong, Jongbin Park, Eun Bae Kim

Abstract read
In one paragraph

Article in Journal of microbiology and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. The Dynamic Changes of Gut Microbiota during the Perinatal Period in Sows.Animals : an open access journal from MDPI · 2020
    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

3 authors.

Yujeong JeongDepartment of Applied Animal Science, College of Animal Life Science, Kangwon National University, Chuncheon, Kangwon-do, Republic of Korea.
Jongbin ParkDepartment of Animal Life Science, College of Animal Life Science, Kangwon National University, Chuncheon, Kangwon-do, Republic of Korea.
Eun Bae KimDepartment of Applied Animal Science, College of Animal Life Science, Kangwon National University, Chuncheon, Kangwon-do, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Beef, pork, chicken and milk are considered representative protein sources in the human diet. Since the digestion of protein is important, the role of intestinal microflora is also important. Despite this, the pure effects of meat and milk intake on the microbiome are yet to be fully elucidated. To evaluate the effect of beef, pork, chicken and milk on intestinal microflora, we observed changes in the microbiome in response to different types of dietary animal proteins in vitro. Feces were collected from five 6-week-old pigs. The suspensions were pooled and inoculated into four different media containing beef, pork, chicken, or skim milk powder in distilled water. Changes in microbial communities were analyzed using 16S rRNA sequencing. The feces alone had the highest microbial alpha diversity. Among the treatment groups, beef showed the highest microbial diversity, followed by pork, chicken, and milk. The three dominant phyla were Proteobacteria, Firmicutes, and Bacteroidetes in all the groups. The most abundant genera in beef, pork, and chicken were

Indexed as

Gastrointestinal MicrobiomeAnimal Proteins, DietaryAnimalsBacillotaBacteroidetesCattleChickensDNA, BacterialEnterococcusFecesLactobacillusMeatMilkPrincipal Component AnalysisProteobacteriaRNA, Ribosomal, 16SAnimal Proteins, DietaryDNA, BacterialRNA, Ribosomal, 16Sfecal contaminationgut microbiomemeatmilkProteinprotein utilizing bacteria

Identifiers

PMID32522966
PMCPMC9728240

What OpenQuestion holds

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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.