| Title: | Investigating the Interconnected Mechanisms of Gout, Cardiovascular Disease, and Osteoarthritis: Using Multi-Omics and Lifestyle Data for Risk Prediction and Therapeutic Target Identification |
| Lead Institution: | Huashan Hospital |
| Principal investigator: |
Application 742419
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
About
Research Outline This study investigates the interplay of gout, CVD, and OA using UK Biobank multi-omics data (genomic/proteomic/clinical/lifestyle). We aim to discover shared immune-metabolic biomarkers and therapeutic targets for preventing CVD/OA in gout patients, while exploring exercise's role in modulating disease pathways. Research Questions: 1. What shared immune-metabolic biomarkers act as therapeutic targets for gout, CVD, and OA? 2. What factors elevate CVD/OA risk in gout patients, and how to target them? 3. How does exercise modulate immune-metabolic pathways to reduce CVD/OA risk? 4. Can multi-omics identify proteins/metabolites driving CVD/OA progression? 5. Can LSTM models integrate multi-omics data to predict CVD/OA risks? Objectives: 1. Identify immune-metabolic biomarkers via multi-omics analysis 2. Decipher mechanisms linking gout to CVD/OA comorbidity 3. Develop therapies targeting key immune-metabolic proteins 4. Assess lifestyle impacts on metabolic pathways and risks 5. Build multi-omics ML models for risk prediction Scientific Rationale: Gout shares inflammatory pathways with CVD (urate crystals accelerate atherosclerosis) and OA (chronic joint inflammation). Identifying biomarkers enables targeted therapies, while understanding exercise's metabolic effects informs personalized prevention strategies.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 20296 | Identification of an Osteochondral Erosion Process in Gout Driven by Fibrinogen-Integrin Activation and Local MSU Crystallization | Hanlin Xu (+7) | 2026 | Advanced Science |
Enabling scientific discoveries that improve human health