Evidence map›Paper›PMID 38450171›Full record

ArticleFrontiers in microbiology2024

Gut microbiota affects obesity susceptibility in mice through gut metabolites.

Yuhang Wen, Yadan Luo, Hao Qiu, Baoting Chen, Jingrong Huang, Shuya Lv, Yan Wang, Jiabi Li, Lingling Tao, Bailin Yang and 10 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
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  7. Review
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  9. The oncobiome; what, so what, now what?Microbiome research reports · 2025
    Review
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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

20 authors at 2 institutions in 1 country.

Yuhang Wen *Laboratory Animal Centre, Southwest Medical University, Luzhou, China.
Yadan Luo *Laboratory Animal Centre, Southwest Medical University, Luzhou, China.
Hao QiuLaboratory Animal Centre, Southwest Medical University, Luzhou, China.
Baoting ChenLaboratory Animal Centre, Southwest Medical University, Luzhou, China.
Jingrong HuangLaboratory Animal Centre, Southwest Medical University, Luzhou, China.
Shuya LvLaboratory Animal Centre, Southwest Medical University, Luzhou, China.
Yan WangLaboratory Animal Centre, Southwest Medical University, Luzhou, China.
Jiabi LiLaboratory Animal Centre, Southwest Medical University, Luzhou, China.
Lingling TaoLaboratory Animal Centre, Southwest Medical University, Luzhou, China.
Bailin YangLaboratory Animal Centre, Southwest Medical University, Luzhou, China.
Ke LiLaboratory 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.
Mingde ZhaoLaboratory Animal Centre, Southwest Medical University, Luzhou, China.
Xiaoxia ZouSuining First People's Hospital, Suining, China.
Ruilin LuSuining First People's Hospital, Suining, China.
Congwei GuLaboratory Animal Centre, Southwest Medical University, Luzhou, China.
Southwest Medical University · CNModel Animal Research Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: It is well-known that different populations and animals, even experimental animals with the same rearing conditions, differ in their susceptibility to obesity. The disparity in gut microbiota could potentially account for the variation in susceptibility to obesity. However, the precise impact of gut microbiota on gut metabolites and its subsequent influence on susceptibility to obesity remains uncertain. Methods: In this study, we established obesity-prone (OP) and obesity-resistant (OR) mouse models by High Fat Diet (HFD). Fecal contents of cecum were examined using 16S rDNA sequencing and untargeted metabolomics. Correlation analysis and MIMOSA2 analysis were used to explore the association between gut microbiota and intestinal metabolites. Results: After a HFD, gut microbiota and gut metabolic profiles were significantly different between OP and OR mice. Gut microbiota after a HFD may lead to changes in eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA), a variety of branched fatty acid esters of hydroxy fatty acids (FAHFAs) and a variety of phospholipids to promote obesity. The bacteria

Indexed as

gut microbiotahigh-fat dietobesity-proneobesity-resistantsusceptibility to obesityuntargeted metabolomics

Identifiers

PMID38450171
PMCPMC10916699
OpenAlexW4392004394

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.