Evidence map›Paper›PMID 32408110›Full record

ArticleEBioMedicine2020

A dysregulated bile acid-gut microbiota axis contributes to obesity susceptibility.

Meilin Wei, Fengjie Huang, Ling Zhao, Yunjing Zhang, Wei Yang, Shouli Wang, Mengci Li, Xiaolong Han, Kun Ge, Chun Qu and 6 more

Erratum issued Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT05906641 (Modulation of Secondary Bile Acids Through the Intestinal Microbiota After Consumption of a High-protein Diet.), which is not on this map. Cited by 134 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
134citing papers in PubMed, 2 pooled it
10.5field-weighted citation impact, top 1% 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.

NCT05906641 nacompletednot on this mapstarted 2023, after this paper: background citation

Modulation of Secondary Bile Acids Through the Intestinal Microbiota After Consumption of a High-protein Diet.

TypeinterventionalSponsorInstituto Nacional de Ciencias Medicas y Nutricion Salvador ZubiranRan2023 to 2023Enrolled22ConditionsHealthyArmsHigh-protein diet
3 · Its place in the literature

Who cites it

134 citing papers in PubMed, 2 syntheses or guidelines pooled it, 235 citations in OpenAlex.

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74 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 4 institutions in 3 countries.

Meilin WeiShanghai Key Laboratory of Diabetes Mellitus and Centre for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China.
Fengjie HuangShanghai Key Laboratory of Diabetes Mellitus and Centre for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China.
Ling ZhaoSchool of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, China.
Yunjing ZhangShanghai Key Laboratory of Diabetes Mellitus and Centre for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China.
Wei YangSchool of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, China.
Shouli WangShanghai Key Laboratory of Diabetes Mellitus and Centre for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China.
Mengci LiShanghai Key Laboratory of Diabetes Mellitus and Centre for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China.
Xiaolong HanShanghai Key Laboratory of Diabetes Mellitus and Centre for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China.
Kun GeShanghai Key Laboratory of Diabetes Mellitus and Centre for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China.
Chun QuShanghai Key Laboratory of Diabetes Mellitus and Centre for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China.
Cynthia RajaniUniversity of Hawaii Cancer Centre, 701 Ilalo st, Honolulu, HI 96813, USA.
Guoxiang XieShanghai Key Laboratory of Diabetes Mellitus and Centre for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China; University of Hawaii Cancer Centre, 701 Ilalo st, Honolulu, HI 96813, USA.
Xiaojiao ZhengShanghai Key Laboratory of Diabetes Mellitus and Centre for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China.
Aihua ZhaoShanghai Key Laboratory of Diabetes Mellitus and Centre for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China.
Zhaoxiang BianSchool of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, China. Electronic address: bzxiang@hkbu.edu.hk.
Wei JiaShanghai Key Laboratory of Diabetes Mellitus and Centre for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China; University of Hawaii Cancer Centre, 701 Ilalo st, Honolulu, HI 96813, USA; School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, China. Electronic address: wjia@cc.hawaii.edu.
Shanghai Jiao Tong University · CNShanghai Sixth People's Hospital · CNHong Kong Baptist University · HKUniversity of Hawaii System · US

Funding

Gut microbiota mediated bile acid alterations in hepatic carcinogenesisU01CA188387 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI JIA, WEI · 2015 to 2019
$2.7M
NCI NIH HHS U01 CA188387
6 · The paper itself

Abstract

backgroundThe composition of the bile acid (BA) pool is closely associated with obesity and is modified by gut microbiota. Perturbations of gut microbiota shape the BA composition, which, in turn, may alter important BA signaling and affect host metabolism.

methodsWe investigated BA composition of high BMI subjects from a human cohort study and a high fat diet (HFD) obesity prone (HF-OP) / HFD obesity resistant (HF-OR) mice model. Gut microbiota was analysed by metagenomics sequencing. GLP-1 secretion and gene regulation studies involved ELISA, qPCR, Western blot, Immunohistochemistry, and Immunofluorescence staining.

findingsWe found that the proportion of non-12-OH BAs was significantly decreased in the unhealthy high BMI subjects. The HF-OR mice had an enhanced level of non-12-OH BAs. Non-12-OH BAs including ursodeoxycholate (UDCA), chenodeoxycholate (CDCA), and lithocholate (LCA) were decreased in the HF-OP mice and associated with altered gut microbiota. Clostridium scindens was decreased in HF-OP mice and had a positive correlation with UDCA and LCA. Gavage of Clostridium scindens in mice increased the levels of hepatic non-12-OH BAs, accompanied by elevated serum 7α-hydroxy-4-cholesten-3-one (C4) levels. In HF-OP mice, altered BA composition was associated with significantly downregulated expression of GLP-1 in ileum and PGC1α, UCP1 in brown adipose tissue. In addition, we identified that UDCA attenuated the high fat diet-induced obesity via enhancing levels of non-12-OH BAs.

interpretationOur study highlights that dysregulated BA signaling mediated by gut microbiota contributes to obesity susceptibility, suggesting modulation of BAs could be a promising strategy for obesity therapy.

Indexed as

Gastrointestinal MicrobiomeAdipose Tissue, BrownAnimalsBody Mass IndexChenodeoxycholic AcidCholestenonesCohort StudiesDiet, High-FatDisease Models, AnimalDisease SusceptibilityEubacterialesGene Expression RegulationGlucagon-Like Peptide 1HumansIleumLithocholic AcidChenodeoxycholic AcidCholestenonesGlucagon-Like Peptide 1Lithocholic AcidPeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaPpargc1a protein, mouseUcp1 protein, mouseUncoupling Protein 1Ursodeoxycholic AcidBile acidsEnergy expenditureGLP-1Gut microbiotaObesityUCP1

Identifiers

PMID32408110
PMCPMC7225614
OpenAlexW3021801233

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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.