Evidence map›Paper›PMID 36620001›Full record

ArticleFrontiers in microbiology2022

Characteristics of intestinal microbiota in C57BL/6 mice with non-alcoholic fatty liver induced by high-fat diet.

Guangwen Yan, Shuaibing Li, Yuhang Wen, Yadan Luo, Jingrong Huang, Baoting Chen, Shuya Lv, Lang Chen, Lvqin He, Manli He and 12 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

22 authors at 6 institutions in 2 countries.

Guangwen YanCollege of Animal Science, Xichang University, Xichang, China.
Shuaibing LiLaboratory Animal Centre, Southwest Medical University, Luzhou, China.
Yuhang WenLaboratory Animal Centre, Southwest Medical University, Luzhou, China.
Yadan LuoLaboratory Animal Centre, Southwest Medical University, Luzhou, China.
Jingrong HuangLaboratory Animal Centre, Southwest Medical University, Luzhou, China.
Baoting ChenLaboratory Animal Centre, Southwest Medical University, Luzhou, China.
Shuya LvLaboratory Animal Centre, Southwest Medical University, Luzhou, China.
Lang ChenLaboratory Animal Centre, Southwest Medical University, Luzhou, China.
Lvqin HeLaboratory Animal Centre, Southwest Medical University, Luzhou, China.
Manli HeLaboratory Animal Centre, Southwest Medical University, Luzhou, China.
Qian YangLaboratory Animal Centre, Southwest Medical University, Luzhou, China.
Zehui YuLaboratory Animal Centre, Southwest Medical University, Luzhou, China.
Wudian XiaoLaboratory Animal Centre, Southwest Medical University, Luzhou, China.
Yong TangModel Animal and Human Disease Research of Luzhou Key Laboratory, Luzhou, China.
Weiyao LiCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
Jianhong HanLaboratory Animal Centre, Southwest Medical University, Luzhou, China.
Fangfang ZhaoCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
Shumin YuCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
Fang KongLaboratory Animal Centre, Southwest Medical University, Luzhou, China.
Benazir AbbasiCollege of Veterinary Medicine, Nanjing Agricultural University, Jiangsu, China.
Hongmei YinCollege of Animal Science, Xichang University, Xichang, China.
Congwei GuLaboratory Animal Centre, Southwest Medical University, Luzhou, China.
Southwest Medical University · CNModel Animal Research Center · CNSichuan Agricultural University · CNXichang University · CNMacau University of Science and Technology · MONanjing Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: As a representation of the gut microbiota, fecal and cecal samples are most often used in human and animal studies, including in non-alcoholic fatty liver disease (NAFLD) research. However, due to the regional structure and function of intestinal microbiota, whether it is representative to use cecal or fecal contents to study intestinal microbiota in the study of NAFLD remains to be shown. Methods: The NAFLD mouse model was established by high-fat diet induction, and the contents of the jejunum, ileum, cecum, and colon (formed fecal balls) were collected for 16S rRNA gene analysis. Results: Compared with normal mice, the diversity and the relative abundance of major bacteria and functional genes of the ileum, cecum and colon were significantly changed, but not in the jejunum. In NAFLD mice, the variation characteristics of microbiota in the cecum and colon (feces) were similar. However, the variation characteristics of intestinal microbiota in the ileum and large intestine segments (cecum and colon) were quite different. Discussion: Therefore, the study results of cecal and colonic (fecal) microbiota cannot completely represent the results of jejunal and ileal microbiota.

Indexed as

16S rDNA sequencinghigh-fat dietintestinal microbiotamicenon-alcoholic fatty liver disease

Identifiers

PMID36620001
PMCPMC9813237
OpenAlexW4312187929

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.