There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
Principal Investigator | |
Principal Investigator's Name: | Jodie Lord |
Institution: | Kings College London |
Department: | Basic and Clinical Neuroscience |
Country: | |
Proposed Analysis: | We hope to utilise ADNI data to conduct novel research which will utilise high dimensional, exploratory mediation methods to investigate metabolites and proteins as mechanistic variables driving associations previously observed between educational attainment, hypertension and Alzheimer's Disease. We hope to utilise endophenotype data in-place of the clinical AD phenotype (such as hippocampal volume, MMSE scores, and ptau181) to capture disease pathology in the earliest stages, and aim to develop a latent outcome which incorporates multiple endophenoptype measures. Internal validation will be conducted in the form of bootstrapping, and results will provide a list of candidate metabolites and proteins which demonstrate promise as mechanistic variables between exposures (education and hypertension) and outcomes (AD endophenotypes). This research will then provide a foundation on which to build future multimodal modals which can incorporate further levels of complexity and enhance understanding as to the mechanisms directly leading to disease pathogenesis, and in-turn informing early intervention strategies. |
Additional Investigators | |
Investigator's Name: | Ewan Carr |
Proposed Analysis: | Ewan will be working alongside Jodie Lord to oversee the analysis proposed within the accompanying application form for Jodie. Here, we hope to utilise metabolite data together with AD endophenotypes and information pertaining to education and hypertension history to develop high dimensional mediation models which aim to identify candidate mechanistic metabolites which show evidence of driving relationships observed between exposures (education and hypertension) and outcomes (AD endophenotypes). In this way, we hope to identify a sub-set of candidate metabolites which demonstrate potential as direct sources of AD intervention and which warrant follow-up in future, confirmatory design set ups. |