Integrative Spatial Omics for Systems-Level Mapping of Pathological Niches

Area of Science:

• Biomedical research
• Molecular biology
• Pathology

Background:

• Spatial 'omics technologies map cellular organization and molecular distributions.
• Understanding tissue microenvironments in health and disease requires integrated molecular data.

Purpose of the Study:

• To present a novel multimodal pipeline for spatiomolecular analysis.
• To demonstrate a generalizable framework for integrating diverse spatial omics data.
• To map molecular mechanisms in complex human diseases.

Main Methods:

• Integration of matrix-assisted laser desorption/ionization imaging mass spectrometry spatial lipidomics, spatial transcriptomics, and multiplexed immunofluorescence microscopy.
• Incorporation of histopathological staining for comprehensive tissue analysis.
• Application to Alzheimer's disease and type 2 diabetes mellitus patient tissues.

Main Results:

• Uncovered spatiomolecular profiles linked to specific cellular niches and pathological features.
• Demonstrated the pipeline's effectiveness in complex human disease models.
• Enabled precise mapping of molecular mechanisms in disease.

Conclusions:

• The developed multimodal pipeline offers a powerful approach for spatiomolecular analysis.
• This framework facilitates the integration of diverse spatial omics data for deeper biological insights.
• The method advances the understanding of molecular underpinnings in complex pathologies.