Evidence map›Paper›PMID 33033580›Full record

ArticleComputational and structural biotechnology journal2020

A metagenome-wide association study of gut microbiome and visceral fat accumulation.

Xiaomin Nie, Jiarui Chen, Xiaojing Ma, Yueqiong Ni, Yun Shen, Haoyong Yu, Gianni Panagiotou, Yuqian Bao

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 7% 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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 68 citations in OpenAlex.

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  8. The Gut Microbiome-Endocrine Axis in Obesity: Mechanisms and Therapeutics.Journal of gastroenterology and hepatology · 2026
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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

8 authors at 2 institutions in 3 countries.

Xiaomin NieDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai 200233, China.
Jiarui ChenLeibniz Institute for Natural Product Research and Infection Biology - Systems Biology and Bioinformatics, Hans Knöll Institute, Adolf-Reichwein-Straße 23, 07745 Jena, Germany.
Xiaojing MaDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai 200233, China.
Yueqiong NiLeibniz Institute for Natural Product Research and Infection Biology - Systems Biology and Bioinformatics, Hans Knöll Institute, Adolf-Reichwein-Straße 23, 07745 Jena, Germany.
Yun ShenDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai 200233, China.
Haoyong YuDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai 200233, China.
Gianni PanagiotouLeibniz Institute for Natural Product Research and Infection Biology - Systems Biology and Bioinformatics, Hans Knöll Institute, Adolf-Reichwein-Straße 23, 07745 Jena, Germany.
Yuqian BaoDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai 200233, China.
Shanghai Jiao Tong University · CNLeibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. - Hans-Knöll-Institut (HKI) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeVisceral fat is an independent risk factor for metabolic and cardiovascular disease. The study aimed to investigate the associations between gut microbiome and visceral fat.

methodsWe recruited 32 obese adults and 30 healthy controls at baseline. Among the obese subjects, 14 subjects underwent laparoscopic sleeve gastrectomy (LSG) and were followed 6 months after surgery. Abdominal visceral fat area (VFA) and subcutaneous fat area (SFA) were measured by magnetic resonance imaging. Waist, hipline, waist-to-hip ratio (WHR) and body mass index (BMI) were included as simple obese parameters. Gut microbiome was analyzed by metagenomic sequencing.

resultsAmong the obese parameters, VFA had the largest number of correlations with the species that were differentially enriched between obese and healthy subjects, following by waist, WHR, BMI, hipline, and SFA. Within the species negatively correlated with VFA,

conclusionsVisceral fat was more closely correlated with gut microbiome compared with subcutaneous fat, suggesting an intrinsic connection between gut microbiome and metabolic cardiovascular diseases. Specific microbial species and pathways which were closely associated with visceral fat accumulation might contribute to new targeted therapies for metabolic disorders.

Indexed as

2hCP, 2-hour C-peptide2hPG, 2-hour plasma glucoseALT, alanine aminotransferaseAST, aspartate aminotransferaseBCAAs, branched chain amino acidsBMI, body mass indexCoDA, Compositional Data AnalysisCr, creatinineDBP, diastolic blood pressureFCp, fasting C-peptideFDR, false discovery rateFMT, fecal microbiota transplantationFPG, fasting plasma glucoseGPR43, G-protein coupled receptor 43Gut microbiomeHbA1c, glycated hemoglobin A1cHDL, high-density lipoprotein cholesterolLaparoscopic sleeve gastrectomyLDL, low-density lipoprotein cholesterolLPS, lipopolysaccharidesLSG, laparoscopic sleeve gastrectomyMetagenomicsMRI, magnetic resonance imagingMSG, monosodium glutamateObesitySBP, systolic blood pressureSCFAs, short chain fatty acidsSFA, subcutaneous fat areaTCA, tricarboxylic acid cycleTC, total cholesterolTG, triglycerideUA, uric acidVFA, visceral fat areaVisceral fatWBC, white blood cell countWHR, waist-to-hip ratio

Identifiers

PMID33033580
PMCPMC7528071
OpenAlexW3087737911

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.