Completed Brain & Nervous System Psychology & Behaviour

The utility of mTOR signalling pathway dysregulation and mutational profiling in the risk stratification for future cognitive decline in Mild Cognitive Impairment (MCI).

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A simple blood test could predict whether someone with mild memory problems will develop Alzheimer’s disease, replacing today’s unreliable guesswork. Current methods for predicting Alzheimer’s in early mild cognitive impairment (MCI) are only 25–30% accurate. Yet 50–60% of MCI patients are at high risk of progressing to Alzheimer’s. The problem is a lack of validated biomarkers—biological signposts—that can reliably flag who will decline. This project tests whether measuring dysregulation in a cellular signalling pathway called mTOR, combined with DNA sequence profiling, can fill that gap. The researchers have proprietary biomarkers they believe act as effective surrogates for this dysregulation. If the test works, it would transform clinical management of Alzheimer’s. Instead of waiting years to see who declines, doctors could stratify MCI patients by risk early on. More importantly, a reliable prognostic test would enable meaningful clinical trials of new Alzheimer’s therapies, because drug developers could enrol only those patients most likely to progress. This would speed up testing of treatments that currently stall due to imprecise patient selection. The project aligns with the UK Dementia Challenge, a government priority.

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This project will evaluate the clinical utility of mTOR signalling pathway dysregulation and DNA sequence profiling in the risk stratification for future cognitive decline in Mild Cognitive Impairment (MCI). Dysregulation of the mTOR pathway has been identified as a risk factor in the development of AD. This project will confirm that proprietary biomarkers are an effective surrogate of demonstrating this dysregulation. MCI may be a prodromal state for AD (Alzheimer's Disease) and 50-60% of these patients are at high risk of progression to AD. Current prognostic methods for AD are only 25-30% accurate in early MCI. The lack of validated biomarkers hampers clinical management of AD and the production of new therapies. This project will study a large cohort of affected patients to demonstrate the validity of a panel of identified at-risk AD biomarkers. Such a prognostic test is essential to enable meaningful clinical trials of emergent AD therapies. This project aligns well with the aims of the UK Dementia Challenge, re-stated by the Prime Minister at the recent G8 Dementia Summit.

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