ArticleFrontiers in microbiology2024
Unravelling the role of gut microbiota in acute pancreatitis: integrating Mendelian randomization with a nested case-control study.
Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.
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Who cites it
4 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- STROBE-causal machine learning for the human microbiome: systematic review on methodological innovations and validation frameworks.Frontiers in microbiology · 2026Pooled it
- Beyond just correlation: causal machine learning for the microbiome, from prediction to health policy with econometric tools.Frontiers in microbiology · 2025Pooled it
- Beyond the Pancreas: The Gut Microbiota in Acute Pancreatitis - From Mechanisms to Therapeutic Perspectives.Clinical and experimental gastroenterology · 2026Review
- Exploring the Role of Gut Microbiota and Probiotics in Acute Pancreatitis: A Comprehensive Review.International journal of molecular sciences · 2025Review
Corrections and comments
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Authors and funding
6 authors.
Funding
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Abstract
Background: Gut microbiota may influence the development of acute pancreatitis (AP), a serious gastrointestinal disease with high morbidity and mortality. This study aimed to identify a causal link by investigating the relationship between gut microbiota and AP. Methods: Mendelian randomization (MR) and a nested case-control study were used to explore associations between gut microbiota composition and AP. 16S rRNA sequencing, random forest modelling (RF), support vector machine (SVM), and Kaplan-Meier survival analysis was applied to identify significant gut microbiota and their correlation with hospitalization duration in AP patients. Results: Bidirectional MR results confirmed a causal link between specific gut microbiota and AP (15 and 8 microbial taxa identified via forward and reverse MR, respectively). The 16S rRNA sequencing analysis demonstrated a pronounced difference in gut microbiota composition between cases and controls. Notably, after a comprehensive evaluation of the results of RF and SVM, Conclusion: Combining MR with nested case-control studies provided a detailed characterization of interactions between gut microbiota and AP.
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