VTT and GE Healthcare Developing Novel Biomarkers to Predict Alzheimer’s Disease
News Jun 27, 2012
Scientists from VTT Technical Research Centre of Finland in collaboration with the University of Eastern Finland have recently discovered a serum biochemical signature which predicts progression to Alzheimer’s disease months or even years before the first symptoms of the disease occur.
The goal of the new collaboration between VTT and GE Healthcare is to validate this biomarker in a large patient cohort as well as to discover novel biomarker candidates.
Alzheimer’s disease (AD) is a growing challenge to the health care systems and economies of developed countries with millions of patients suffering from this disease and increasing numbers of new cases diagnosed annually with the increasing ageing of populations.
Early detection of prodromal AD is vital both for assessing the efficacy of potential AD therapeutic agents as well as new disease modifying therapies are most likely to be effective when initiated during the early stages of disease.
The elucidation of early metabolic pathways associated with progression to Alzheimer’s disease may also help in identifying new therapeutic avenues.
In 2010 GE Healthcare entered into “biosignatures initiative” alliance with Janssen Pharmaceutica N.V. (Janssen) to develop diagnostic biosignatures for pre-symptomatic identification of AD.
As part of this programme, VTT will apply serum metabolite profiling to validate their recently discovered biochemical signature, as well as to discover novel biomarker candidates predictive of progression to AD.
VTT’s research professor Matej Orešič said: “We are excited about the prospect of collaborating with GE Healthcare to accelerate its research programs and to further develop our biomarker towards a clinical assay applicable in healthcare setting. VTT has over the past years built unique metabolomics and systems biology platforms and acquired vast amount of knowledge on metabolic profiles and pathways in human health and disease, which allow us to identify disease-specific biochemical signatures and pathways. We believe that integration of metabolomics into the GE’s and Janssen’s biosignatures initiative will lead to better tools for early detection of AD and may also lead to better therapeutic options.”
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