Potential biomarkers and latent pathways for vasculitis based on latent pathway identification analysis

Area of Science:

• Immunology and Systems Biology
• Molecular Mechanisms of Disease

Background:

• Vasculitis is a complex inflammatory condition with poorly understood molecular underpinnings.
• Identifying specific molecular pathways is crucial for understanding vasculitis pathogenesis and developing targeted therapies.

Purpose of the Study:

• To elucidate the significant latent pathways and precise molecular mechanisms involved in vasculitis.
• To identify potential biomarkers for vasculitis diagnosis and understanding.

Main Methods:

• Analysis of differentially expressed genes (DEGs) in peripheral blood mononuclear cells (PBMCs) from vasculitis patients and healthy controls.
• Utilized Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses, and protein-protein interaction (PPI) network construction.
• Employed Latent Pathway Identification Analysis (LPIA) to uncover significant pathway interactions.

Main Results:

• Identified 266 DEGs, with up-regulated genes linked to defense/wounding and down-regulated genes to immune response.
• Protein-protein interaction network analysis highlighted ISG15 and IFIT3 as potential vasculitis biomarkers.
• LPIA revealed the NOD-like receptor signaling pathway and shigellosis-related pathway as most significant in vasculitis.

Conclusions:

• The NOD-like receptor signaling pathway and shigellosis-related pathway are critical latent pathway interactions in vasculitis.
• Latent Pathway Identification Analysis (LPIA) is an effective method for uncovering systemic biological pathways and cellular mechanisms in diseases.
• ISG15 and IFIT3 emerge as promising biomarkers for vasculitis identification.