The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Central cardiovascular system limits to aerobic capacity
Abstract
New Findings: What is the topic of this review? The limits to maximal aerobic capacity. What advances does it highlight? A synthesis of data and ideas about what limits maximal aerobic capacity demonstrates the central roles of cardiac output, stroke volume and red blood cell mass in the complex physiological responses to maximal exercise. In healthy humans these factors, along with skeletal muscle blood flow, dominate systemic delivery of oxygen to the contracting muscles and set the upper limit of aerobic energy production by skeletal muscles. In elite athletes and patients with pulmonary disease the lungs can also limit oxygen uptake and delivery. In this paper we review the physiological determinants of and discuss the role this variable plays as a determinant of endurance exercise performance. Because the ability to sustain a given pace during a competitive athletic event requires competitors to ‘manage’ fatigue and go as fast as possible without fatiguing prematurely, is one of the variables that sets the physiological upper limit for sustained energy production by the contracting skeletal muscles.
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“Aerobic capacity is determined by cardiac output (i.e., volume of blood ejected by the heart per minute) and the arteriovenous oxygen difference (∆a-vO2) (i.e., capacity of the tissue to extract oxygen from the arterial blood) [69].”
From Effects of Aging on Determinants of Endurance Performance in Women Masters Athletes: A Scoping Review (2026) · cites this paper as [69]
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“Endurance training enhances cardiovascular fitness through central and peripheral adaptations, including ventricular hypertrophy, increased blood volume, and greater mitochondrial density [69,75].”
From Effects of Aging on Determinants of Endurance Performance in Women Masters Athletes: A Scoping Review (2026) · cites this paper as [69]
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Cites
Biochemical Adaptations in Muscle
Holloszy, J. O. (1967) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)96046-1 · Cited by 1,517
Joyner, M. J., & Casey, D. P. (2015) · Physiological Reviews · doi:10.1152/physrev.00035.2013 · Cited by 833
Self-citationMontero, D., & Lundby, C. (2017) · The Journal of Physiology · doi:10.1113/jp273480 · Cited by 327 · cited 1×
“In contrast to the lack of increase in V̇O2 max seen in some humans in response to short term training studies,more intense and/or prolonged training typically generates a positive response in all humans (Joyner & Lundby, 2018; Montero & Lundby, 2017).”
ResultVO2max Trainability and High Intensity Interval Training in Humans: A Meta-Analysis
Bacon, A. P., Carter, R. E., Ogle, E. A., & Joyner, M. J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0073182 · Cited by 311
Self-citationNo evidence of a common DNA variant profile specific to world class endurance athletes.
Rankinen, T., Fuku, N., Wolfarth, B., Wang, G., Sarzynski, M. A., Alexeev, D. G., Ahmetov, I. I., Boulay, M. R., Cieszczyk, P., Eynon, N., et al. (2016) · PLOS ONE · doi:10.1371/journal.pone.0147330 · Cited by 171
Genomic and transcriptomic predictors of response levels to endurance exercise training
Sarzynski, M. A., Ghosh, S., & Bouchard, C. (2017) · The Journal of Physiology · doi:10.1113/jp272559 · Cited by 107
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Cited by
Venckunas, T., Satas, A., Brazaitis, M., Eimantas, N., Sipaviciene, S., & Kamandulis, S. (2024) · Sensors · doi:10.3390/s24072277 · Cited by 6
Vangsgaard, D., Noumi, M., Hayden, K. A., & Doyle-Baker, P. K. (2026) · Healthcare · doi:10.3390/healthcare14081080
Metadata
- Authors
- Joyner, M. J., & Dominelli, P. B.
- Affiliations
- Department of Anesthesiology & Perioperative Medicine Mayo Clinic Rochester MN 55905 USA
- Department of Kinesiology University of Waterloo Waterloo ON Canada N2L 3G1
- ORCID
- Dominelli, Paolo B.
- Venue
- Experimental Physiology
- Publisher
- Wiley
- Published
- 2020-03-16
- Volume
- 106
- Issue
- 12
- Pages
- 2299-2303
- ISSN
- 0958-0670
- 1469-445X
- Cited by
- 32
- References
- 6
- Language
- en
- Funders
- Natural Sciences and Engineering Research Council of Canada (RGPIN‐2019‐04615)
- National Institutes of Health (HL139854‐01)
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
