Severe Acute Pancreatitis Patient and Mouse Model Multiomics Data

Cheng Zhang's dataset contains retrospective clinical data and multiomics analyses from a study comparing short-peptide-based versus intact-protein-based enteral nutrition for severe acute pancreatitis. The data includes results from a murine SAP model and multiomics analyses (microbiome, metabolome, transcriptome, single-cell RNA sequencing). The dataset was last updated on 2026-05-25.

Use Cases

• Compare clinical outcomes (hospital stay, infection) between SPEN and IPEN based on retrospective patient data.
• Analyze changes in intestinal barrier damage and bacterial translocation based on murine model data.
• Investigate gut luminal microenvironmental homeostasis and flagellated bacteria proliferation using multiomics data.
• Study the role of TLR5 on lamina propria dendritic cells in bacterial translocation using transcriptomic and single-cell data.

Strengths

• Includes multiomics analyses (microbiome, metabolome, transcriptome, single-cell RNA sequencing).
• Provides specific clinical outcome metrics (OR = 0.186 for hospital stay, OR = 0.281 for infection).
• Combines retrospective clinical patient data with experimental murine model data.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect temporal or methodological bias inherent to the specific retrospective study.

Provenance

Source

figshare

Collection Method

Retrospective analysis of SAP patients and establishment of a murine SAP model.

Freshness

Last updated 2026-05-25 14:39:58; freshness should be verified.