Gevaert, AB, Adams, V, Bahls, M et al. (8 more authors) (2020) Towards a personalised approach in exercise-based cardiovascular rehabilitation: How can translational research help? A ‘call to action’ from the Section on Secondary Prevention and Cardiac Rehabilitation of the European Association of Preventive Cardiology. European Journal of Preventive Cardiology, 27 (13). pp. 1369-1385. ISSN 2047-4873
Abstract
The benefit of regular physical activity and exercise training for the prevention of cardiovascular and metabolic diseases is undisputed. Many molecular mechanisms mediating exercise effects have been deciphered. Personalised exercise prescription can help patients in achieving their individual greatest benefit from an exercise-based cardiovascular rehabilitation programme. Yet, we still struggle to provide truly personalised exercise prescriptions to our patients. In this position paper, we address novel basic and translational research concepts that can help us understand the principles underlying the inter-individual differences in the response to exercise, and identify early on who would most likely benefit from which exercise intervention. This includes hereditary, non-hereditary and sex-specific concepts. Recent insights have helped us to take on a more holistic view, integrating exercise-mediated molecular mechanisms with those influenced by metabolism and immunity. Unfortunately, while the outline is recognisable, many details are still lacking to turn the understanding of a concept into a roadmap ready to be used in clinical routine. This position paper therefore also investigates perspectives on how the advent of ‘big data’ and the use of animal models could help unravel inter-individual responses to exercise parameters and thus influence hypothesis-building for translational research in exercise-based cardiovascular rehabilitation.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The European Society of Cardiology 2019. This is an author produced version of a paper published in the European Journal of Preventive Cardiology. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Cardiovascular rehabilitation, exercise, personalised medicine, responders/non-responders, immune system, machine learning, big data, animal models |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Biomedical Sciences (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 16 Oct 2019 11:23 |
Last Modified: | 04 Sep 2020 15:22 |
Status: | Published |
Publisher: | SAGE Publications |
Identification Number: | 10.1177/2047487319877716 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:152126 |