| Title: | Multi-omics biomarker based models for prediction on risk and prognosis of cognitive impairment |
| Lead Institution: | West China Hospital of Sichuan University |
| Principal investigator: |
Application 98130
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About
Cognitive impairment, including Alzheimer's disease (AD), Dementia with Lewy Bodies (DLB), Frontotemporal Dementia (FTD), Normal Pressure Hydrocephalus (NPH) etc., is a heterogeneous group of disease with diverse onset age, clinical manifestations and progression rate. It has become a major health concern in the aging worldwide population. So, selecting out the high-risk population most likely to develop cognitive impairment or with relatively high rate of progress is crucial to achieve early prevention or intervention of cognitive impairment with diverse types. It's indicated that many factors might have a negative or protective influence on cognitive decline, such as vision impairment, hearing loss, sleep disorders, social isolation etc. However, the underlying mechanism between the risk/protective factors and cognitive impairment remains limited. Meanwhile, with more and more disease modifying therapy available in the near future, credible models are urgently needed to predict the risk and prognosis of cognitive impairment in clinical practice. Therefore, with large sample size of cognitive, imaging, metabolic and genomics data in the UK Biobank database, our study aims to investigate on multi-omics biomarkers of gene, biofluid, and imaging to reveal the mechanism between these risk/protective factors and cognitive impairment, and also to develop models for predicting risk and prognosis of cognitive impairment with different types based on these biomarkers above. The project duration for this application is 36 months.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 14534 | Retinal biomarkers for the risk of Alzheimer's disease and frontotemporal dementia | Ruihan Wang (+16) | 2025 | Frontiers in Aging Neuroscience |
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