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Updated: Jul 16, 2026
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Isolation and Flow Cytometric Assessment of Neuroimmune Interactions in a Mini-Stroke Murine Model
Published on: June 20, 2025
Multi-Omics Integration in Stroke: Neuroinflammatory Endotypes, Immune Cell Crosstalk, and Precision Biomarker
1Med-International UK Health Agency Ltd., Nuneaton CV11 6LT, UK.
International Journal of Molecular Sciences
|July 15, 2026
Summary
Multi-omics approaches reveal diverse neuroinflammatory endotypes in stroke, moving beyond single biomarkers. This shift enables personalized medicine by integrating genomics, proteomics, and AI for better patient stratification and treatment prediction.
Area of Science:
- Neuroscience
- Immunology
- Genomics
- Proteomics
- Metabolomics
Background:
- Stroke is a leading cause of death and disability globally.
- Biological heterogeneity complicates stroke management.
- Current single-biomarker and single-omics approaches are insufficient.
Purpose of the Study:
- To review multi-omics evidence in stroke.
- To investigate neuroinflammatory mechanisms and biomarkers.
- To propose a roadmap for precision stroke medicine.
Main Methods:
- Integration of multi-omics data (genomics, epigenomics, transcriptomics, proteomics, metabolomics, immunomics).
- Analysis of cellular roles in the neuroimmune network (microglia, macrophages, astrocytes, etc.).
- Application of AI and machine learning for data integration and prediction.
Main Results:
- Multi-omics reveals complex neuroinflammatory pathways in stroke.
- Spatially resolved single-cell transcriptomics identifies novel cellular states.
- Proteomics and metabolomics yield potential circulating biomarkers.
- AI/ML facilitates endotype classification and patient stratification.
Conclusions:
- Multi-omics is crucial for understanding stroke heterogeneity.
- Precision stroke medicine requires integrating systems immunology and multi-omics data.
- Addressing translational barriers is key for clinical implementation.
