| Title: | Risk Factor Analysis and Disease Prediction for Brain Health Disorders and Metabolic-Cardiovascular Diseases |
| Lead Institution: | Jilin University |
| Principal investigator: |
Application 625593
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About
Research Outline: Risk Factor Analysis and Disease Prediction Research Questions 1. Identify key genetic, environmental, and lifestyle risk factors for brain health and metabolic-cardiovascular diseases.2. Explore interactions between risk factors across these disease domains. 3. Assess potential for predictive models using multi-dimensional data to forecast disease.4. Investigate the role of shared biological mechanisms in disease co-occurrence. Research Objectives 1. Investigate factors contributing to brain health and metabolic-cardiovascular diseases.2. Examine the impact of one disease's risk factors on another.3. Develop models to predict disease risk and progression. 4. Propose strategies to mitigate risks of cognitive decline and related diseases. Scientific Basis 1. Genetics: Genetic factors play a crucial role in the diagnosis, prognosis, and treatment of both brain health disorders and metabolic-cardiovascular diseases, influencing susceptibility and disease progression. 2. Lifestyle: Behaviors such as diet, physical activity, smoking, and alcohol consumption are key determinants of risk for both disease categories, affecting inflammatory processes, vascular health, and metabolic functions. 3. Biomarkers: Inflammatory markers, lipid profiles, and glucose levels provide valuable insights into the pathophysiology and progression of both metabolic and neurodegenerative conditions, aiding early detection and monitoring. 4. Neuroimaging: Advanced neuroimaging techniques, including MRI and PET scans, enable the detection of structural and functional changes in the brain, which are critical for understanding the impact of metabolic-cardiovascular diseases on cognitive health.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 18984 | Association between Accelerometer-derived Physical Activity-related Metabolic Signature and Stroke: A Cohort Study from UK Biobank | Bowen Tan (+11) | 2025 | The journal of nutrition health & aging |
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