| Title: | Omics Data Reveals Mechanisms of Neurological Diseases |
| Lead Institution: | Shenzhen Second People's Hospital |
| Principal investigator: |
Application 540121
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About
Questions: Neurological diseases present a major global health challenge. The integrated role of multimodal risk factors remains unclear. Have multi-omics predictive models, based on environment, lifestyle, genetics, and comorbidities, improved the precise management of neurological diseases? Objectives: This study aims to identify risk factors and develop predictive models of neurological diseases onset and progression, facilitating precise management. Scientific Rationale: Neurological diseases, including cerebrovascular and neurodegenerative disorders, pose a significant global health challenge. These conditions typically involve the gradual deterioration of neurological structure and function. However, the underlying causes and pathological mechanisms remain incompletely understood. Recent research suggested that the onset and progression of various neurological diseases involve multiple factors, including environment, lifestyle, genetics, and comorbid conditions. Therefore, a comprehensive analysis that incorporates diverse factors is essential for building predictive models of disease onset and progression. Such models may facilitate precise management of neurological diseases.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 18305 | Triglyceride-glucose index, genetic susceptibility, and trajectory of microvascular multimorbidity in type 2 diabetes | Xiangling Yuan (+6) | 2026 | Scientific Reports |
Enabling scientific discoveries that improve human health