Application of Single-cell Deep Learning in Elucidating the Mapping Relationship Between Visceral and Body Surface Inflammatory Patterns
Single-cell deep learning applied to subcutaneous fascia (scFascia) reveals a fascia-visceral inflammatory crosstalk pattern (FVICP) in response to Salmonella dysentery. This study shows visceral inflammation significantly influences distal cell states, identifies macrophage metabolic reprogramming linked to CPTC signaling, and establishes scFascia profiles as a robust diagnostic biomarker for systemic disease states.