| Title: | Early identification and classification of the metabolic-inflammatory and central sensitized phenotypes of osteoarthritis using imaging, body compositional, omics, and mitochondrial DNA biomarkers |
| Lead Institution: | Southern Medical University |
| Principal investigator: |
Application 131591
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About
Aims: To identify early markers of different types of osteoarthritis (OA) using a combination of different biomarkers. We want to use imaging techniques, body composition measurements, genetic markers and other biomarkers to identify two specific types of OA: metabolic-inflammatory and central sensitized phenotypes. Scientific rationale: OA is a disease that affects the joints, causing pain, stiffness and loss of mobility. It is a very common disease, especially in older people, and can significantly impact a person's quality of life. There are currently no cures for OA, and treatments are aimed at relieving symptoms and slowing down the progression of the disease. Our scientific rationale is based on recent evidence that suggests that OA is not a single disease, but rather a group of diseases with different causes and pathologies. We believe that by identifying the different types of OA early on, we can develop more targeted and effective treatments. Project duration: The duration of this project will be 5 years. Public health impact: The public health impact of our research is significant. By identifying the different types of OA early on, we can develop more targeted and effective treatments that can slow down the progression of the disease and improve the quality of life for people living with OA. This could lead to a significant reduction in healthcare costs and improve the overall health and well-being of the population.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 16761 | Population-Based Multi-Omics and Cohort Study Identifying Predictive Biomarkers and Therapeutic Targets for Psoriatic Disease | Tianxing Wu (+13) | 2025 | Advanced Science |
Enabling scientific discoveries that improve human health