AD BIOMARKERS

Combining sensitive biomarkers for early diagnosis of AD: A multi-modal approach

Coordinatore	KAROLINSKA INSTITUTET    more  Organization address address: Nobels Vag 5 city: STOCKHOLM postcode: 17177 contact info Titolo: Mrs. Nome: Martina Cognome: Bergenroth Email: send email Telefono: +46 8 52488823
Nazionalità Coordinatore	Sweden [SE]
Totale costo	197˙811 €
EC contributo	197˙811 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2012-IEF
Funding Scheme	MC-IEF
Anno di inizio	2013
Periodo (anno-mese-giorno)	2013-09-01   -   2015-08-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	KAROLINSKA INSTITUTET  Organization address address: Nobels Vag 5 city: STOCKHOLM postcode: 17177 contact info Titolo: Mrs. Nome: Martina Cognome: Bergenroth Email: send email Telefono: +46 8 52488823	SE (STOCKHOLM)	coordinator	197˙811.60

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 Obiettivo del progetto (Objective)

'Alzheimer’s disease (AD) is currently the leading cause of dementia, being expected to double in the coming decades. Increasing evidence suggests the pathological mechanisms of AD become active several years before neurons start dying and dementia manifests. During this prodromal stage, referred to as Mild Cognitive Impairment (MCI), effective treatments would have the greatest impact because cognitive function is still relatively preserved. Hence, it is crucial to identify these subjects at increased risk of developing AD at the earliest possible stage. Several neuroimaging, cerebrospinal fluid and neuropsychological biomarkers for early detection of AD have been proposed. However, none of these biomarkers has been established as an ideal diagnostic or prognostic indicator. Considering the complexity of the AD process and the multiple dynamic pathological changes that occur during the course of the disease it is rather unlikely that a single ideal biomarker even exists. Hence a combination of both already established and new sensitive biomarkers has the potential of significantly improving the accuracy of diagnosis compared to each of them alone. In the current project we will combine several multimodal biomarkers from neuroimaging, cerebrospinal fluid, genetics and cognitive tests in multivariate analyses in order to determine which marker or combination of markers is optimal for early diagnosis of AD. We will create a discriminant pattern of disease for the diagnosis of AD, prediction of conversion of MCI to AD and discrimination of MCI due to AD pathology and MCI associated with Parkinson’s disease. These patterns will be based on information from well-established measures that have shown value as AD biomarkers, in addition to new measures suggested as potentially new markers of AD. This project will benefit the Work Program by providing tools able to diagnose and discriminate early prodromal stages of AD that can be potentially implemented in clinical practice.'