Evidence map›Paper›PMID 38807189›Full record

ArticleCell & bioscience2024

Causal effect between gut microbiota and metabolic syndrome in European population: a bidirectional mendelian randomization study.

Jiawu Yan, Zhongyuan Wang, Guojian Bao, Cailin Xue, Wenxuan Zheng, Rao Fu, Minglu Zhang, Jialu Ding, Fei Yang, Beicheng Sun

Abstract read
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Article in Cell & bioscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

10 authors.

Jiawu Yan *Department of Hepatobiliary Surgery, Innovative Institute of Tumor Immunity and Medicine (ITIM), The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China.
Zhongyuan Wang *Department of General Surgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.
Guojian BaoDepartment of Hepatobiliary Surgery, Innovative Institute of Tumor Immunity and Medicine (ITIM), The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China.
Cailin XueDepartment of Hepatobiliary Surgery, Innovative Institute of Tumor Immunity and Medicine (ITIM), The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China.
Wenxuan ZhengDivision of Gastric Surgery, Department of General Surgery, the Affiliated Hospital of Medical School, Nanjing Drum Tower Hospital, Nanjing University, Nanjing, 210008, China.
Rao FuDepartment of Hepatobiliary Surgery, Innovative Institute of Tumor Immunity and Medicine (ITIM), The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China.
Minglu ZhangDepartment of Hepatobiliary Surgery, Innovative Institute of Tumor Immunity and Medicine (ITIM), The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China.
Jialu DingNanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, China.
Fei YangDepartment of Hepatobiliary Surgery, Innovative Institute of Tumor Immunity and Medicine (ITIM), The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China. fightingforever77@126.com.
Beicheng SunDepartment of Hepatobiliary Surgery, Innovative Institute of Tumor Immunity and Medicine (ITIM), The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China. sunbc@nju.edu.cn.

Funding

Medical Science and Technology Project of Zhejiang Province 2023KY300National Natural Science Foundation of China 81930086National Natural Science Foundation of China 82002931National Natural Science Foundation of China 82120108012National Natural Science Foundation of China 82372644Project of Innovation & Entrepreneurship, Jiangsu Province No. 2020-30136
6 · The paper itself

Abstract

backgroundObservational studies have reported that gut microbiota composition is associated with metabolic syndrome. However, the causal effect of gut microbiota on metabolic syndrome has yet to be confirmed.

methodsWe performed a bidirectional Mendelian randomization study to investigate the causal effect between gut microbiota and metabolic syndrome in European population. Summary statistics of gut microbiota were from the largest available genome-wide association study meta-analysis (n = 13,266) conducted by the MiBioGen consortium. The summary statistics of outcome were obtained from the most comprehensive genome-wide association studies of metabolic syndrome (n = 291,107). The inverse-variance weighted method was applied as the primary method, and the robustness of the results was assessed by a series of sensitivity analyses.

resultsIn the primary causal estimates, Actinobacteria (OR = 0.935, 95% CI = 0.878-0.996, P = 0.037), Bifidobacteriales (OR = 0.928, 95% CI = 0.868-0.992, P = 0.028), Bifidobacteriaceae (OR = 0.928, 95% CI = 0.868-0.992, P = 0.028), Desulfovibrio (OR = 0.920, 95% CI = 0.869-0.975, P = 0.005), and RuminococcaceaeUCG010 (OR = 0.882, 95% CI = 0.803-0.969, P = 0.009) may be associated with a lower risk of metabolic syndrome, while Lachnospiraceae (OR = 1.130, 95% CI = 1.016-1.257, P = 0.025), Veillonellaceae (OR = 1.055, 95% CI = 1.004-1.108, P = 0.034) and Olsenella (OR = 1.046, 95% CI = 1.009-1.085, P = 0.015) may be linked to a higher risk for metabolic syndrome. Reverse MR analysis demonstrated that abundance of RuminococcaceaeUCG010 (OR = 0.938, 95% CI = 0.886-0.994, P = 0.030) may be downregulated by metabolic syndrome. Sensitivity analyses indicated no heterogeneity or horizontal pleiotropy.

conclusionsOur Mendelian randomization study provided causal relationship between specific gut microbiota and metabolic syndrome, which might provide new insights into the potential pathogenic mechanisms of gut microbiota in metabolic syndrome and the assignment of effective therapeutic strategies.

Indexed as

Gut microbiotaMendelian randomization studyMetabolic syndrome

Identifiers

PMID38807189
PMCPMC11134679

What Socratic holds

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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 Socratic graph.