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Funded Projects › FP7

META-PREDICT · Developing predictors of the health benefits of exercise for individuals

FP7Status: CLOSED1 December 201131 May 2016EU funding €5,998,406

Physical activity is a powerful lifestyle factor that on average reduces risk for development of diabetes and cardiovascular disease. Nevertheless, we have demonstrated that following supervised endurance exercise training, 20% of subjects show no change in fitness and 30% demonstrate no improvement in insulin sensitivity or worse-still an adverse response. Our concept is that by using molecular profiling of blood/muscle samples we will develop personalised lifestyle intervention tools. Further, revealing the biological basis for a variable metabolic or cardiovascular response to exercise will enable us to propose new targets and biomarkers for drug discovery efforts directly in humans. Using our established OMICS approaches (RNA, DNA and Metabo-) we will generate classifiers that predict the responses to exercise-therapy (fitness and insulin sensitivity). Classifier generation is a statistical strategy for diagnosis or prognosis. Critically, we have a large human tissue biobank, including subjects with insulin-resistance; young to elderly males and females, as well as twins. Our SME partners have significant intellectual property and capacity in the field of bio-prediction, with a proven track-record of collaboration with the team and product development. We will add to the diversity of our biobank by carrying-out an exercise intervention study using a novel time-efficient strategy that we have recently proven to be effective in reducing insulin resistance in sedentary young people and in middle aged obese subjects. A time-efficient protocol is a critical as lack-of-time is a key reason for not maintaining physical activity levels. Finally, we have a novel out-bred rodent model that replicates high and low exercise training responses and we will establish its suitability for future drug screening purposes. Because of these substantial pre-existing resources we believe that our project has a very high probability of delivering on its goals of improving the healthcare of European citizens

Consortium · 12 organisations

coordinator

KAROLINSKA INSTITUTET

SE · €1,542,072

participant

MCMASTER UNIVERSITY

CA · €20,549

participant

UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA

ES · €500,400

participant

MEDICAL PROGNOSIS INSTITUTE AS

DK · €854,350

participant

LOUISIANA STATE UNIVERSITY AND AGRICULTURAL AND MECHANICAL COLLEGE

US · €458,400

participant

THE UNIVERSITY OF BIRMINGHAM

UK · €66,302

participant

JYVASKYLAN YLIOPISTO

FI · €468,000

participant

KOBENHAVNS UNIVERSITET

DK · €601,200

participant

DUKE UNIVERSITY

US · €27,000

participant

LOUGHBOROUGH UNIVERSITY

UK · €370,505

participant

THE UNIVERSITY OF NOTTINGHAM

UK · €605,232

participant

XRGENOMICS LTD

UK · €484,396

Research fields

View the official record on CORDIS →

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Source: CORDIS, Publications Office of the European Union. Global Research Partnerships surfaces open EU research data to help you find collaborators; we are not affiliated with the European Union.