ArticleFrontiers in genetics2024
Causal impact of gut microbiota on five liver diseases: insights from mendelian randomization and single-cell RNA sequencing.
Article in Frontiers in genetics, 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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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.
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Who cites it
2 citing papers in PubMed.
- Machine learning-driven clinical decision support for liver cirrhosis: a gut microbiome-based web prediction model with explainable AI integration.BMC gastroenterology · 2026Article
- Quercetin and Its Metabolites: Mechanistic Insights as the Basis of Their Therapeutic Potential in NAFLD and HCC.Molecules (Basel, Switzerland) · 2025Review
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10 authors.
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Abstract
Background: Liver disease is among the top ten causes of death globally. With studies suggesting a link between gut microbiota (GM) and liver disease. Method: We selected summary statistics data from the largest available whole-genome association study (n = 13,266) of GM by the MiBioGen consortium as the exposure, and obtained liver disease-related data from IEU Open GWAS and The NHGRI-EBI GWAS Catalog. A two-sample Mendelian Randomization (MR) analysis employing various methods, to establish the causal relationship between GM and five liver diseases. Meanwhile, single-cell RNA sequencing data were used to examine Prevotella-related genes expression under healthy and disease liver. Results: The IVW analysis indicate a causal relationship between GM and liver diseases, with Prevotella exhibiting a protective effect in all five liver diseases: Alcoholic liver disease (OR:0.81,95% confidence interval:0.66-1.00, Conclusion: Our MR results show a causal relationship between the GM and liver disease. Prevotella displays a notable protective effect. This finding may enhance the precision of GM-based therapies and offer new insights for clinical research.
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