Evidence map›Paper›PMID 40098322›Full record

ArticleESC heart failure2025

Gut microbiota and risk of heart failure in European population-A comprehensive Mendelian randomization study.

Liyan Huang, Xuemei Zhao, Jing Wang, Jingyuan Guan, Boping Huang, Jiayu Feng, Xinqing Li, Yuhui Zhang, Jian Zhang

Abstract read
In one paragraph

Article in ESC heart failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
  2. Gut microbiota's role in heart failure.Heart failure reviews · 2025
    Review
  3. Article
  4. Article
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

9 authors.

Liyan HuangHeart Failure Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Beijing, China.
Xuemei ZhaoHeart Failure Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Beijing, China.
Jing WangHeart Failure Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Beijing, China.
Jingyuan GuanHeart Failure Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Beijing, China.
Boping HuangHeart Failure Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Beijing, China.
Jiayu FengHeart Failure Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Beijing, China.
Xinqing LiHeart Failure Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Beijing, China.
Yuhui ZhangHeart Failure Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Beijing, China.
Jian ZhangHeart Failure Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Beijing, China.

Funding

CAMS Innovation Fund for Medical Science 2020-I2M-1-002National High-Level Hospital Clinical Research Funding 2022-GSP-GG-9National High-Level Hospital Clinical Research Funding 2023-GSP-GG-26Natural Science Foundation of Beijing Municipality 7222143
6 · The paper itself

Abstract

aimsGut dysbiosis is proven to be involved in the pathogenesis and progression of heart failure (HF). Hindering the detrimental effects of gut-heart axis is an emerging trend. Our goal is to investigate the causal relationship between gut microbiota and HF, with the aim of facilitating future exploration of microbiome-targeted approaches to prevent and delay the progression of HF. METHODS AND

resultsTwo-sample Mendelian randomization (MR) analysis was applied to investigate the causal association of the gut microbiome with HF among individuals of European ancestry. Genetic variants associated with the 196 bacterial taxa from MiBioGen consortium were used as exposure data, summary statistics for HF derived from Heart Failure Molecular Epidemiology for Therapeutic Targets (HERMES) consortium were used as outcome data. Five MR methods were applied, including inverse variance weighted, maximum likelihood, MR-Egger, weighted median, and weighted mode. Reverse causality of instrumental variables (IVs) was tested by MR Steiger test of directionality. Strength of IVs was evaluated by F-statistics. Cochrane's Q test, MR-Egger regression analysis, and MR Pleiotropy RESidual Sum and Outlier (MR-PRESSO) tests were used to detect heterogeneity and pleiotropy. Leave-one-out method was used for testing the stability of results. Seven microbiomes were found to be associated with HF. Five of them were associated with higher risks of developing HF, these included Order_Selenomonadales (odds ratio [OR] = 1.11, P = 0.024), Family_Peptococcaceae (OR = 1.07, P = 0.045), Genus_Eubacterium eligens group (OR = 1.14, P = 0.022), Genus_Eubacterium oxidoreducens group (OR = 1.12, P = 0.011) and Genus_Flavonifractor (OR = 1.14, P = 0.012). Genus_Anaerostipes and Order_Bacillales were associated with lower risks of HF (OR = 0.90, P = 0.014; OR = 0.95, P = 0.042, respectively). Evidence of pleiotropy or heterogeneity was not observed.

conclusionsWe identified seven intestinal microbiomes that were causally associated with HF at the level of gene prediction. This study will help with the discovery of potential preventive and therapeutic targets for HF.

Indexed as

Gastrointestinal MicrobiomeHeart FailureMendelian Randomization AnalysisWhite PeopleEuropeHumansRisk FactorsCausalityGut microbiotaHeart failureMendelian randomization

Identifiers

PMID40098322
PMCPMC12287869

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Registered trials

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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 OpenQuestion graph.