Cardiorespiratory fitness (CRF) exists on a spectrum and is driven by a constellation of factors, including genetic and environmental differences. This results in wide interindividual variation in baseline CRF and the ability to improve CRF with regular endurance exercise training. As opposed to monogenic conditions, CRF is described as a complex genetic trait as it is believed to be influenced by multiple common genetic variants in addition to exogenous factors. Importantly, CRF is an independent predictor of morbidity and mortality, and so understanding the impact of genetic variation on CRF may provide insights into both human athletic performance and personalized risk assessment and prevention. Despite rapidly advancing technology, progress in this field has been restricted by small sample sizes and the limited number of genetic studies using the "gold standard" objective measure of peak oxygen consumption (VOpeak) for CRF assessment. In recent years, there has been increasing interest in the heritability of numerous parameters of cardiac structure and function and how this may relate to both normal cardiac physiology and disease pathology. Regular endurance training can result in exercise-induced cardiac remodelling, which manifests as balanced dilation of cardiac chambers and is associated with superior CRF. This results in a complex relationship between CRF, cardiac size, and exercise, and whether shared genetic pathways may influence this remains unknown. In this review we highlight recent and relevant studies into the genomic predictors of CRF with a unique emphasis on how this may relate to cardiac remodelling and human adaption to endurance exercise.
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http://dx.doi.org/10.1016/j.cjca.2024.12.017 | DOI Listing |
Int J Cardiol Heart Vasc
February 2025
Section of Cardiology, Department of Internal Medicine, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Saint Boniface Hospital, Winnipeg, Manitoba, R2H 2A6, Canada.
Background: Higher levels of CRF have been demonstrated to attenuate or negate the adverse cardiovascular impacts of other risk factors. We aimed to assess the interplay between body mass index (BMI), CRF and sudden cardiac death (SCD) risk.
Methods: Body mass index was calculated based on guideline recommendations and CRF assessed using a respiratory gas exchange analyzer during clinical exercise testing at baseline in 2308 men aged 42-61 years of age.
Brain Behav
January 2025
Department of Kinesiology, University of Maryland, College Park, Maryland, USA.
Background: Higher cardiorespiratory fitness and cardiovascular endurance (CE) have been shown to be neuroprotective in older adulthood, but the mechanisms underlying this neuroprotection across the adult lifespan are poorly understood. The current study sought to examine the neuroprotective effects of CRF on gray matter (GM) and white matter (WM) volumes, and mean cortical thickness (MCT), using a large sample across the adult lifespan. We also examined sex differences in these relationships.
View Article and Find Full Text PDFCell Rep Methods
January 2025
Department of Neurology, University of California San Francisco, San Francisco, CA 94158, USA. Electronic address:
We develop a data harmonization approach for C. elegans volumetric microscopy data, consisting of a standardized format, pre-processing techniques, and human-in-the-loop machine-learning-based analysis tools. Using this approach, we unify a diverse collection of 118 whole-brain neural activity imaging datasets from five labs, storing these and accompanying tools in an online repository WormID (wormid.
View Article and Find Full Text PDFIntroduction: Publishing medical metadata stored in case report forms (CRFs) is a prerequisite for the development of a learning health system (LHS) by fostering reuse of metadata and standardization in health research. The aim of our study was to investigate medical researchers' (MRs) willingness to share CRFs, to identify reasons for and against CRF sharing, and to determine if and under which conditions MRs might consider sharing CRF metadata via a public registry.
Methods: We examined CRF data sharing commitments for 1842 interventional trials registered on the German Clinical Trials Registry (DRKS) from January 1, 2020, to December 31, 2021.
Arch Rehabil Res Clin Transl
December 2024
Department of Medicine, University of Maryland School of Medicine, Baltimore, MD.
Objective: To test the hypothesis that step count based on a virtual 2-minute step test (2MST) predicts cardiorespiratory fitness (CRF).
Design: Cross-sectional study.
Setting: Veteran Affairs Medical Centers participating in a randomized trial of functional exercise training delivered by videoconferencing.
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