CORDIS
EU research results

CORDIS

English EN
Developing predictors of the health benefits of exercise for individuals

Developing predictors of the health benefits of exercise for individuals

Objective

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
Leaflet | Map data © OpenStreetMap contributors, Credit: EC-GISCO, © EuroGeographics for the administrative boundaries

Coordinator

KAROLINSKA INSTITUTET

Address

Nobels Vag 5
17177 Stockholm

Sweden

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 1 542 072

Administrative Contact

Pille Ann Härmat (Mrs.)

Participants (11)

Sort alphabetically

Sort by EU Contribution

Expand all

MEDICAL PROGNOSIS INSTITUTE AS

Denmark

EU Contribution

€ 854 349,53

THE UNIVERSITY OF NOTTINGHAM

United Kingdom

EU Contribution

€ 605 232

KOBENHAVNS UNIVERSITET

Denmark

EU Contribution

€ 601 200

JYVASKYLAN YLIOPISTO

Finland

EU Contribution

€ 468 000

UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA

Spain

EU Contribution

€ 500 400

DUKE UNIVERSITY

United States

EU Contribution

€ 27 000

XRGENOMICS LTD

United Kingdom

EU Contribution

€ 484 396

LOUISIANA STATE UNIVERSITY AND AGRICULTURAL AND MECHANICAL COLLEGE

United States

EU Contribution

€ 458 400

LOUGHBOROUGH UNIVERSITY

United Kingdom

EU Contribution

€ 370 504,92

McMaster University

Canada

EU Contribution

€ 20 549,12

THE UNIVERSITY OF BIRMINGHAM

United Kingdom

EU Contribution

€ 66 302,43

Project information

Grant agreement ID: 277936

Status

Closed project

  • Start date

    1 December 2011

  • End date

    31 May 2016

Funded under:

FP7-HEALTH

  • Overall budget:

    € 7 928 824,85

  • EU contribution

    € 5 998 406

Coordinated by:

KAROLINSKA INSTITUTET

Sweden