| Title: | Integrated Multi-Omics and Imaging-Based Modeling of Cerebrovascular Diseases and Cognitive Decline Using the UK Biobank |
| Lead Institution: | The Second Hospital of Lanzhou University |
| Principal investigator: |
Application 1091229
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About
Cerebrovascular diseases (CVDs)-including ischemic stroke, intracerebral hemorrhage, and cerebral small vessel disease-are major global causes of disability and death. Beyond acute injury, these disorders increase the risk of long-term cognitive impairment and dementia, forming a continuum of vascular-neurodegenerative conditions. However, the mechanisms linking vascular pathology to cognitive decline remain unclear, and robust predictive tools that integrate clinical, imaging, and molecular data are lacking. This project aims to elucidate shared mechanisms and improve risk prediction across the spectrum of CVD and cognitive decline using the UK Biobank's rich multimodal data. The objectives are to: 1.Characterise clinical and lifestyle determinants of CVD incidence and progression, assessing metabolic, vascular, and behavioural risk factors. 2.Quantify imaging phenotypes from MRI (e.g., infarcts, white matter hyperintensities, microbleeds, atrophy) and relate them to longitudinal cognitive trajectories. 3.Integrate multi-omics layers-genomic, transcriptomic, proteomic, and metabolomic data-to identify biomarkers and molecular pathways linking vascular injury and neurodegeneration. 4.Develop predictive and dynamic models using advanced statistical and machine-learning approaches (e.g., Cox regression, random forest, deep learning) to estimate risk of CVD and cognitive decline. 5.Validate and interpret models using internal replication and explainable-AI methods to ensure robustness and clinical interpretability. By uniting large-scale epidemiological, imaging, and molecular data, this study will clarify vascular-neurodegenerative interactions, improve early detection, and identify actionable biomarkers. The results will inform precision prevention strategies and contribute to reducing the global burden of stroke and dementia.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 18024 | Quantitative MRI burden score and risk of first-ever stroke: A nested case-control study in the UK Biobank | Xiangjia Qi (+1) | 2026 | Journal of Clinical Neuroscience |
Enabling scientific discoveries that improve human health