ArticleFrontiers in cellular and infection microbiology2022
Causal relationship between gut microbes and cardiovascular protein expression.
Article in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Blood metabolites mediate causal inference studies on the effect of gut microbiota on the risk of vascular calcification.Journal of advanced research · 2026Article
- Associations between gut microbiome and circulating cytokines: a cross-sectional analysis in the FINRISK 2002 population cohort.Gut pathogens · 2025Article
- Association of dietary index for gut microbiota and cardiovascular diseases in American adults: evidence from National Health and Nutrition Examination Survey 1999-2018.Frontiers in nutrition · 2025Article
- Causal relationship between gut microbiota and tuberculosis: a bidirectional two-sample Mendelian randomization analysis.Respiratory research · 2024Article
- Genetic insights into gut microbiota and risk of prostatitis: a Mendelian randomization study.Frontiers in microbiology · 2024Article
- Mendelian randomization analysis revealed a gut microbiota-mammary axis in breast cancer.Frontiers in microbiology · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Evidence supports associations between gut microbiota and cardiovascular protein levels in plasma. However, it is unclear whether these associations reflect a causal relationship. To reveal the causal relationship between gut microbiota and cardiovascular protein levels in plasma, we estimated their causal effects using two-sample Mendelian randomization (MR) analysis. Sensitivity analysis was also performed to assess the robustness of our results. Genome-wide association study (GWAS) of microbiomes in the MiBioGen study included 211 bacterial taxa (18,473 individuals), and GWAS of 90 cardiovascular proteins included 30,931 individuals. There were 196 bacterial taxa from five levels available for analysis. The following 14 causal relationships were identified: phylum
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