Kafayat Adeoye
Swansea university
| Submission Name | Project | Submitted by | Submission Date | ||
|---|---|---|---|---|---|
Completed |
IGF-1 wave6 test |
0718 | kafayat | 2024/06/14:14:55:53 | View |
Failed |
FT wave9 financial |
DPUKProject55 | kafayat | 2024/06/14:13:31:07 | View |
Failed |
FT wave9 financial |
DPUKProject55 | kafayat | 2024/06/14:13:31:14 | View |
Failed |
FT wave9 financial test |
DPUKProject55 | kafayat | 2024/06/14:14:13:48 | View |
Failed |
FT wave9 financial test |
DPUKProject55 | kafayat | 2024/06/14:14:13:54 | View |
Failed |
FT wave9 financial test |
DPUKProject55 | kafayat | 2024/06/14:14:23:12 | View |
Failed |
FT wave9 financial test |
DPUKProject55 | kafayat | 2024/06/14:14:24:32 | View |
Completed |
FT wave9 financial test |
DPUKProject55 | kafayat | 2024/06/14:14:30:18 | View |
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This is a TESTING project Last Updated: 02/14/2024 00:00:00 End Date: 12/01/2026 00:00:00 |
0718#3 To enhance screening of Alzheimer's patients, we propose interrogating blood-based markers examined in Late-Onset Alzheimer's Disease (LOAD) and healthy agematched controls. Insulin-like growth factor-1 (IGF-1), one of the biomarkers tested in ELSA, has been previously shown to play a neuroprotective role in animal models of brain injury. We hypothesize that higher blood levels of IGF-1 are predictive of slower cognitive decline in LOAD subjects. In Aim 1, we will test the primary hypothesis that plasma IGF-1 is significantly lower in LOAD subjects compared to cognitively normal controls. In Aim 2, we will characterize an optimal cut-off of IGF-1 for predicting LOAD progressors in the ELSA cohort. In Aim 3, we will apply these methods in the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort, and attempt to recapitulate these results using the Biomarkers Consortium Plasma Proteomics data that measured IGF-1 levels in ADNI subje Last Updated: 05/02/2024 23:00:00 End Date: 11/15/2024 00:00:00 |