Evidence map›Paper›PMID 38953300›Full record

ArticleCancer medicine2024

Association between gut microbiota and malignant cardiac tumors: A two-sample Mendelian randomization study.

Yongfei Song, Jiale Hu, Chongrong Li, Jiangfang Lian

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Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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5 · Who and what money

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4 authors.

Yongfei SongNingbo Institute of Innovation for Combined Medicine and Engineering, Ningbo Medical Center Lihuili Hospital, Ningbo University, Zhejiang, China.ORCID 0000-0001-6762-9899
Jiale HuDepartment of Cardiology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Zhejiang, China.
Chongrong LiDepartment of Cardiology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Zhejiang, China.
Jiangfang LianNingbo Institute of Innovation for Combined Medicine and Engineering, Ningbo Medical Center Lihuili Hospital, Ningbo University, Zhejiang, China.

Funding

Huadong medicine Joint Funds of Zhejiang Provincial Natural Science Foundation of China LHDMZ24H020001Medical Health Science and Technology Project of Zhejiang Provincial Health Commission 2021KY306National Natural Science Foundation of China 82300347Natural Science Foundation of Ningbo Municipality 2021J296Natural Science Foundation of Zhejiang Province LQQ20H160001Ningbo Key Laboratory of Molecular Target Screening and Application 2023-BZDSScience Foundation of Lihuili Hospital 2022ZD004
6 · The paper itself

Abstract

backgroundRecent studies provide compelling evidence linking the gut microbiota to most cancers. Nevertheless, further research is required to establish a definitive causal relationship between the gut microbiota and malignant cardiac tumors.

methodsThe genome-wide association studies (GWAS) data on the human gut Microbiota, included in the IEU Open GWAS project, was initially collected by the MiBioGen consortium. It encompasses 14,306 individuals and comprises a total of 5,665,279 SNPs. Similarly, the GWAS data on malignant cardiac tumors, also sourced from the IEU Open GWAS project, was initially stored in the finnGen database, including 16,380,303 SNPs observed within a cohort of 174,108 individuals within the European population. Utilizing a two-sample Mendelian randomization (MR) methodology, we examined whether there exists a causal association between the gut microbiota and cardiac tumors. Additionally, to bolster the credibility and robustness of the identified causal relationships, we conducted an extensive array of sensitivity analyses, encompassing Cochran's Q test, MR-PRESSO tests, MR-Egger interpret test, directionality test and leave-one-out analysis.

resultsOur analysis unveiled seven distinct causal associations between genetic susceptibility in the gut microbiota and the incidence of malignant cardiac tumors. Among these, the Family Rikenellaceae, genus Eubacterium brachy group, and genus Ruminococcaceae UCG009 exhibited an elevated risk of cardiac tumors, while the phylum Verrucomicrobia, genus Lactobacillus, genus Ruminiclostridium5, and an unknown genus id.1868 were genetically linked to a reduced risk of cardiac tumors. The causal relationship between these two bacteria, belonging to the phylum Verrucomicrobia (OR = 0.178, 95% CI: 0.052-0.614, p = 0.006) and the genus Ruminococcaceae UCG009 (OR = 3.071, 95% CI: 1.236-7.627, p = 0.016), and cardiac tumors was further validated through sensitivity analyses, reinforcing the robustness and reliability of the observed associations.

conclusionOur MR analysis confirms that the phylum Verrucomicrobia displays significant protection against cardiac tumor, and the genus Ruminococcaceae UCG009 leads to an increasing risk of cardiac tumor.

Indexed as

Gastrointestinal MicrobiomeGenetic Predisposition to DiseaseGenome-Wide Association StudyHeart NeoplasmsMendelian Randomization AnalysisPolymorphism, Single NucleotideHumansRisk Factorscardiac tumorgut microbiotaMendelian randomizationSNPs

Identifiers

PMID38953300
PMCPMC11217809

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