Clinical Report: Comprehensive Multi-Omics Analysis in Acute Pancreatitis
Overview
This study presents a comprehensive multi-omics analysis revealing significant immunometabolic changes and gut microbiome dynamics in acute pancreatitis (AP). Key findings include the identification of differentially expressed genes, metabolites, and microbial species.
Background
Acute pancreatitis is a serious inflammatory condition with rising global incidence and significant mortality rates, particularly in severe cases. Understanding the complex interactions among immune responses, metabolic changes, and gut microbiota is crucial.
Data Highlights
Type
Findings
DEGs
4,776 identified, with 409 immune-related genes
DEMs
296 detected, with 9 metabolites showing AUC > 0.75
DGMs
Significant remodeling with pro-inflammatory taxa enrichment
Correlations
215 significant correlations between host genes, metabolites, and microbes
Biomarkers
Lachnospira pectinoschiza, Megamonas funiformis, and SRGN identified with AUC = 0.951
Key Findings
4,776 differentially expressed genes (DEGs) identified, with significant enrichment in inflammatory pathways.
296 differentially expressed metabolites (DEMs) detected, including key alterations in amino acid and lipid metabolism.
Significant microbial compositional changes, with enrichment of pro-inflammatory taxa and depletion of SCFA-producing commensals.
215 significant correlations identified between host genes, metabolites, and microbial species.
Exploratory random forest model identified candidate biomarkers with promising classification performance.
Clinical Implications
Further validation in larger cohorts is necessary to confirm the findings.
Conclusion
This study provides a detailed characterization of the immunometabolic and microbiome alterations in acute pancreatitis.
