Abstract 1487: Spatial microdomains from histology reveal multi-omic biomarkers for enhanced idiopathic pulmonary fibrosis diagnosis

Key Points

• The research aims to enhance idiopathic pulmonary fibrosis (IPF) diagnosis by linking spatial microdomains to molecular biomarkers.
• Applied a multi-omic analytic workflow using the SpaceIQ™ platform.
• Conducted unbiased cell typing on H&E images, spatially aligning to gene expression.
• Derived spatial microdomains from cell population arrangements in IPF versus healthy tissue.
• Computed gene-feature associations to identify molecular markers linked to microdomains.
• Evaluated candidate biomarkers in an independent Visium dataset for validation.
• Identified finer structural organization within fibrotic and non-fibrotic compartments.
• Distinguished IPF-specific patterns linked to inflammatory macrophages and extracellular matrix changes.
• Showed consistent enrichment of gene signatures in molecular niches across validation cohorts.
• Demonstrated reproducible cell-type differences and conserved pathways related to tissue remodeling.