Evidence map›Paper›PMID 31186491›Full record

ArticleScientific reports2019

Effects of Different Diets on Microbiota in The Small Intestine Mucus and Weight Regulation in Rats.

Yu Meng, Xiaojun Li, Jie Zhang, Chunlian Wang, Fanggen Lu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
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

18 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Review
  3. Role of the Small Intestinal Microbiota in Gastrointestinal Disorders.The Korean journal of helicobacter and upper gastrointestinal research · 2024
    Review
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Influence of the gut microbiome on inflammatory and immune response after stroke.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
    Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. The Beta-Diversity ofFrontiers in microbiology · 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

5 authors at 2 institutions in 1 country.

Yu MengDepartments of Gastroenterology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, P.R. China.
Xiaojun LiDepartments of Gastroenterology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, P.R. China.
Jie ZhangDepartments of Gastroenterology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, P.R. China.
Chunlian WangDepartments of Gastroenterology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, P.R. China.
Fanggen LuDepartments of Gastroenterology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, P.R. China. fanggenlu@csu.edu.cn.
Central South University · CNSecond Xiangya Hospital of Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While the microbial community of the small intestine mucus (SIM) may also play a role in human health maintenance and disease genesis, it has not been extensively profiled and whether it changes with diet is still unclear. To investigate the flora composition of SIM and the effects of diet on it, we fed SD rats for 12 weeks with standard diet (STD), high-fat diet (HFD), high-sugar diet (HSD) and high-protein diet (HPD), respectively. After 12 weeks, the rats were sacrificed, SIM and stool samples were collected, and high-throughput 16S rRNA gene sequencing was used to analyze the microbiota. We found that fecal microbiota (FM) was dominated by Firmicutes and Bacteroidetes, while in SIM, Firmicutes and Proteobacteria were the two most abundant phyla and the level of Bacteroidetes dramatically decreased. The microbiota diversity of SIM was less than that of feces. The community composition of SIM varied greatly with different diets, while the composition of FM altered little with different diets. The relative abundance of Bacteroidetes and Allobaculum in SIM were negatively correlated with weight gain. There was no significant correlation between FM and weight gain. In conclusion, the community profile of SIM is different from that of feces and susceptible to diet.

Indexed as

Body WeightDietGastrointestinal MicrobiomeAnimalsBiodiversityCell CountDiet, High-FatFecesFemaleGoblet CellsIntestine, SmallMucusPhylogenyPrincipal Component AnalysisRats, Sprague-DawleyWeight Gain

Identifiers

PMID31186491
PMCPMC6560036
OpenAlexW2951801680

What OpenQuestion holds

Textmetadata
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.