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

Andreas B Gevaert, Volker Adams, Martin Bahls, T Scott Bowen, Veronique Cornelissen, Marcus Dörr, Dominique Hansen, Hareld Mc Kemps, Paul Leeson, Emeline M Van Craenenbroeck, Nicolle Kränkel (Corresponding author)

Research output: Contribution to journalArticleAcademicpeer-review

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.

Original languageEnglish
Pages (from-to)1369-1385
Number of pages17
JournalEuropean Journal of Preventive Cardiology
Volume27
Issue number13
DOIs
Publication statusPublished - 1 Sep 2020
Externally publishedYes

Keywords

  • animal models
  • big data
  • Cardiovascular rehabilitation
  • exercise
  • immune system
  • machine learning
  • personalised medicine
  • responders/non-responders

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