Multiple Machine Learning Models, Molecular Subtyping and Singlecell Analysis Identify PANoptosis-related Core Genes...

Area of Science:

• Immunology
• Genetics
• Computational Biology

Background:

• PANoptosis is implicated in inflammatory diseases.
• The role of PANoptosis in Crohn's disease (CD) remains unexplored.

Purpose of the Study:

• To construct a PANoptosis signature for CD identification.
• To investigate the biological mechanisms underlying PANoptosis in CD.

Main Methods:

• Utilized machine learning algorithms to build a PANoptosis signature.
• Employed clustering, enrichment analyses (GO, KEGG, GSEA, GSVA), and scRNA-Seq.
• Assessed immune microenvironment and cellular communication.

Main Results:

• A seven-gene PANoptosis signature effectively identified CD across cohorts.
• Distinct CD subgroups associated with PANoptosis showed varied immune cell infiltration and responses.
• Key pathways involved include NF-κB, MAPK, leukocyte activation, and migration.

Conclusions:

• This is the first study to establish a highly effective PANoptosis signature for CD.
• PANoptosis likely contributes to CD pathogenesis via inflammatory and immune pathways.