Nottingham researchers to develop new early warning system for Alzheimer's

Researchers at The University of Nottingham have been awarded £670,000 to develop a new early warning system for Alzheimer's disease.

Funding from the Medical Research Council (MRC) will be used to develop a new diagnostic test that will pick up the presence of Alzheimer's disease and other dementias much sooner than is currently possible - so patients can receive more effective treatment.

As the numbers of people with dementia are set to soar - within the next 10 years, a million people are predicted to be living with the condition in the UK - improving early diagnosis is vitally important.

The research could mean patients will receive more timely treatment that is more effective in slowing down the devastating symptoms of Alzheimer's disease (AD) and other forms of dementia.

Professor Paul O'Shea, who leads the Nottingham team, and clinical colleague Dr Nin Bajaj of the Nottingham University Hospitals Trust, said: "Dementia is one of the biggest challenges facing our ageing world population. Current diagnostic tests are expensive and have limited accuracy.

"Alzheimer's disease and other forms of dementia have been found to give rise to unique profiles of proteins which we can detect in the blood. The relative levels of these proteins will be measured by the group in Nottingham to develop a new system for early detection and discrimination of dementia.

"We are therefore thrilled that the MRC have agreed funding for this project to develop a cost-effective, highly accurate screening technique for dementia that may ultimately pave the way for earlier therapeutic interventions in this devastating condition."

The grant, awarded under the MRC's Developmental Pathway Funding Scheme (DPFS), will run for two years.

Early detection and diagnosis are crucial to ensuring that patients receive the appropriate treatment in time to slow down the devastating effects of loss of memory and cognitive function. Improved diagnostic procedures that are simple and cheap to implement will promote early disease detection. This will allow use of emerging therapeutics to maximise treatment efficacy in terms of patient health and cost, improving prospects for life expectancy.

With the MRC award, the Nottingham researchers are well placed to advance the diagnosis and understanding of this group of diseases and provide valuable information on the effectiveness of current and new treatments.

Members of the consortium have already been involved in two major projects which formed the basis of the new MRC DPFS grant, for the development of an AD diagnostic 'chip'. The first, funded by Alzheimer's Research UK resulted in the identification of seven biomarkers which form the basis of the panel being utilised.

The origins of the detection instrument are in a Research Councils UK Basic Technology grant. During this grant a generic platform label-free measurement system, based on a differential surface plasmon resonance imaging of protein micro-arrays utilising an ultra-sensitive CMOS camera system, was developed.

Professor Bob Webb, the University's Pro-Vice-Chancellor for Research said: "The University of Nottingham has an excellent track record in taking novel research results to application as demonstrated by the global impact of MRI. In this regard, Alzheimer's disease (AD) currently affects nearly one million people in the UK at an annual cost of over £23 billion.

"The University is therefore delighted to receive funding from the MRC for Professor O'Shea and his team of collaborators to develop a novel and early detection approach for the identification, classification and monitoring of AD. This funding will enable the development of a prototype instrument that can be used in clinical settings - community medical centres as well as hospitals - as a screening tool for the presence and progression of AD.

"This will be a further demonstration of research excellence with impact.''

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Frailty may predict dementia risk years before onset, study finds