METAPREDICT: Developing Predictors of the Health Benefits of Exercise for Individuals
METAPREDICT
Developing Predictors of the Health Benefits of Exercise for Individuals
1 other identifier
interventional
188
1 country
1
Brief Summary
Physical activity is a powerful lifestyle factor that on average reduces risk for development of diabetes and cardiovascular disease. Nevertheless, investigators have demonstrated that following supervised endurance exercise training, 20% of subjects show no change in fitness and 30% demonstrate no improvement in insulin sensitivity. Our concept is that by using molecular profiling of blood/muscle samples investigators 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-) investigators 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, investigators have a large human tissue biobank, including subjects with insulin-resistance; young to elderly males and females, as well as twins. Our SME partner has significant intellectual property and capacity in the field of bio-prediction, with a proven track-record of collaboration with the team and product development. Investigators will add to the diversity of our biobank by carrying-out an exercise intervention study using a novel time-efficient strategy that investigators 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, investigators have a novel out-bred rodent model that replicates high and low exercise training responses and investigators will establish its suitability for future drug screening purposes. Because of these substantial pre-existing resources investigators believe that our project has a very high probability of delivering on its goals of improving the healthcare of European citizens.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Apr 2012
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
April 1, 2012
CompletedFirst Submitted
Initial submission to the registry
August 8, 2013
CompletedFirst Posted
Study publicly available on registry
August 12, 2013
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 1, 2014
CompletedStudy Completion
Last participant's last visit for all outcomes
October 1, 2014
CompletedDecember 3, 2014
December 1, 2014
2 years
August 8, 2013
December 2, 2014
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Insulin Sensitivity
Genomic methods and OGTT
2 years
Secondary Outcomes (1)
Physical Fitness
2 years
Study Arms (3)
High Intensity Training (HIT)
EXPERIMENTAL6 weeks of HIT, 3 times a week (3-5 1min on/off)
REHIT
EXPERIMENTAL6 weeks of HIT, 3 times a week (20sec)
control
NO INTERVENTIONcontrol
Interventions
6 weeks of HIT, 3 times a week (3-5 1min on/off)
Eligibility Criteria
You may qualify if:
- Sedentary behavior
- BMI over 27 (kg/m2) or fasting glucose consistent with WHO criteria for impaired glucose tolerance
You may not qualify if:
- Physical active
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Loughborough Universitylead
- University of Nottinghamcollaborator
- Medical Prognosis Institute A/Scollaborator
- Karolinska Institutetcollaborator
- University of Copenhagencollaborator
- University of Las Palmas Spaincollaborator
- Duke Universitycollaborator
Study Sites (1)
Loughborough University
Loughborough, Leicestershire, LE11 5TN, United Kingdom
Related Links
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
James Timmons, Professor
Loughborough University
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- PREVENTION
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
August 8, 2013
First Posted
August 12, 2013
Study Start
April 1, 2012
Primary Completion
April 1, 2014
Study Completion
October 1, 2014
Last Updated
December 3, 2014
Record last verified: 2014-12