ArticleFrontiers in immunology2026
Integrative multi-omics profiling reveals coordinated immunometabolic reprogramming and host-microbiome interactions in acute pancreatitis.
Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Acute pancreatitis (AP) is a life-threatening inflammatory disorder characterized by diverse etiologies and complex pathophysiological mechanisms involving immune dysregulation, systemic metabolic reprogramming, and gut microbiota disturbances. Although single-omics studies have provided partial insights into AP pathogenesis, comprehensive integrative multi-omics analyses investigating the intricate interactions among immunity, metabolism, and the microbiome in AP remain limited. Methods: We conducted an integrative multi-omics analysis of peripheral blood transcriptomics, untargeted plasma metabolomics, and fecal whole-metagenome sequencing in 15 patients with AP and 15 age- and sex-matched healthy controls. Differentially expressed genes (DEGs), metabolites (DEMs), and gut microbial species (DGMs) were identified. Subsequently, functional enrichment analysis, correlation network analysis, and exploratory machine learning approaches were employed to investigate molecular interactions and identify candidate biomarkers. Results: Transcriptomic profiling identified 4, 776 DEGs, including 409 immune-related genes significantly enriched in the NF-κB, IL-17, and cytokine-cytokine receptor interaction pathways, indicating pronounced inflammatory activation. Metabolomic analysis detected 296 DEMs, with prominent alterations in amino acid and lipid metabolism, mong which 9 metabolites showed potential discriminatory value (AUC > 0.75), with representative metabolites including xanthine, homocarnosine, and tetradecanedioic acid. Metagenomic sequencing revealed significant microbial compositional and functional remodeling, characterized by enrichment of pro-inflammatory taxa such as Conclusions: This study provides a systems-level characterization of the immune, metabolic, and microbial alterations in AP. The identified molecular signatures and cross-omics interaction networks offer mechanistic insights into AP pathogenesis and highlight candidate biomarkers that warrant further validation in larger, independent cohorts.
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