ArticleFrontiers in immunology2022
Gut microbiota on admission as predictive biomarker for acute necrotizing pancreatitis.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed, 71 citations in OpenAlex.
- Antibiotic-associatedGut microbes · 2026Article
- Bowel sound in predicting the severity of acute pancreatitis: Protocol of a prospective, multi-center study.PloS one · 2026Observational
- Longitudinal dysbiosis of gut bacteriome and mycobiome in patients with severe acute pancreatitis and its association with mortality.BMC microbiology · 2025Article
- Identification of robust associations between admission microbiome profiles and complications of acute pancreatitis.BMJ open gastroenterology · 2025Observational
- Prediction of infected pancreatic necrosis in patients with acute necrotizing pancreatitis based on ensemble machine learning model.World journal of emergency surgery : WJES · 2025Article
- Microbiome of the Proximal Small Intestine in Patients with Acute Pancreatitis.Diagnostics (Basel, Switzerland) · 2025Article
- Development of a three-species gut microbiome diagnostic model for acute pancreatitis and its association with systemic inflammation: a prospective cross-sectional study.Scientific reports · 2025Article
- Metagenomics reveals functional profiles of gut microbiota during the recovery phase of acute pancreatitis.Scientific reports · 2025Article
- Risk factors for peripancreatic and pancreatic infection of acute pancreatitis and the development of a clinical prediction model.Medicine · 2025Observational
- Exploring the Role of Gut Microbiota and Probiotics in Acute Pancreatitis: A Comprehensive Review.International journal of molecular sciences · 2025Review
- Potential causal association between gut microbiota, inflammatory cytokines, and acute pancreatitis: A Mendelian randomization study.Journal of intensive medicine · 2025Article
- Article
- Updated review of research on the role of the gut microbiota and microbiota-derived metabolites in acute pancreatitis progression and inflammation-targeted therapy.International journal of biological sciences · 2025Review
- Bacterial diversity and biomarkers screening of station and carriage surface in Shanghai metro system, China.Current research in microbial sciences · 2025Article
- Biomarkers to predict the severity of acute pancreatitis.Frontiers in medicine · 2025Review
- Stress-Induced Hyperglycemia as an Independent Predictor of Infectious Pancreatic Necrosis in Acute Pancreatitis: A Machine Learning-Driven Prognostic Model.Journal of inflammation research · 2025Article
- Gut microbiota-based biomarkers for precision subtype classification and mechanistic understanding of biliary and hyperlipidemic acute pancreatitis.Frontiers in microbiology · 2025Article
- Total flavonoids ofAging · 2024Article
- Exploring the Microbial Landscape: Gut Dysbiosis and Therapeutic Strategies in Pancreatitis-A Narrative Review.Biomedicines · 2024Review
- Acute pancreatitis: pathogenesis and emerging therapies.Journal of pancreatology · 2024Review
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Acute necrotizing pancreatitis (NP), a severe form of acute pancreatitis (AP), has higher mortality and worse outcome than non-necrotizing pancreatitis (non-NP). Infected NP is a devastating subgroup of NP. To date neither NP nor infected NP has robust prediction strategies, which may delay early recognition and timely intervention. Recent studies revealed correlations between disturbed gut microbiota and AP severity. Some features of intestinal microbiota have the potential to become biomarkers for NP prediction. Methods: We performed 16S rRNA sequencing to analyze gut microbiota features in 20 healthy controls (HC), and 58 AP patients on hospital admission. The AP patients were later classified into NP and non-NP groups based on subsequent diagnostic imaging features. Random forest regression model and ROC curve were applied for NP and infected NP prediction. PIRCUSt2 was used for bacterial functional pathway prediction analysis. Results: We found that the three groups (HC, NP, and non-NP) had distinct microorganism composition. NP patients had reduced microbial diversity, higher abundance of Conclusions: Our study suggests that NP patients have distinct intestinal microbiota on admission compared to non-NP patients. Dysbiosis of intestinal microbiota might influence NP progression through ketone body or benzoate metabolism.
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