Central nervous system (CNS) injuries, including stroke, traumatic brain injury, and neurodegenerative diseases, represent significant global health challenges, with profound social, economic, and healthcare implications. The increasing incidence and complex pathophysiology of these conditions necessitate a deeper understanding of their mechanisms and long-term effects, particularly in the presence of comorbidities such as cardiovascular, metabolic, and psychiatric disorders, which further complicate disease progression and clinical management. Emerging evidence emphasizes the importance of a multi-dimensional approach that integrates omics technologies, imaging, and lifestyle and environmental factors to achieve a comprehensive understanding of disease mechanisms. However, the multi-omics characteristics of acute and chronic CNS injuries and their comorbidities, as well as their dynamic changes, remain unclear. This project will leverage the extensive data available in the UK Biobank to investigate how genetic, proteomic, metabolomic, imaging, lifestyle, environmental, medical and other factors interact to influence the onset, progression, and outcomes of CNS injuries. Specifically, the study will explore the dynamic changes in multi-omics signatures across different stages of CNS injury in the presence of comorbidities and assess whether a multi-omics approach can identify predictive biomarkers for screening, diagnosis, disease progression, and functional prognosis in CNS injuries and associated conditions. Ultimately, this research aims to provide novel insights into the complex mechanisms underlying CNS injury and its comorbidities, contributing to improved early diagnosis, progression monitoring, and personalized therapeutic strategies.
