The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Muscle metabolic and neuromuscular determinants of fatigue during cycling in different exercise intensity domains
Open accessAbstract
Lactate or gas exchange threshold (GET) and critical power (CP) are closely associated with human exercise performance. We tested the hypothesis that the limit of tolerance (T lim) during cycle exercise performed within the exercise intensity domains demarcated by GET and CP is linked to discrete muscle metabolic and neuromuscular responses. Eleven men performed a ramp incremental exercise test, 4–5 severe-intensity (SEV; >CP) constant-work-rate (CWR) tests until T lim, a heavy-intensity (HVY; <CP but >GET) CWR test until T lim, and a moderate-intensity (MOD; <GET) CWR test until T lim. Muscle biopsies revealed that a similar ( P > 0.05) muscle metabolic milieu (i.e., low pH and [PCr] and high [lactate]) was attained at T lim (approximately 2–14 min) for all SEV exercise bouts. The muscle metabolic perturbation was greater at T lim following SEV compared with HVY, and also following SEV and HVY compared with MOD (all P < 0.05). The normalized M-wave amplitude for the vastus lateralis (VL) muscle decreased to a similar extent following SEV (−38 ± 15%), HVY (−68 ± 24%), and MOD (−53 ± 29%), ( P > 0.05). Neural drive to the VL increased during SEV (4 ± 4%; P < 0.05) but did not change during HVY or MOD ( P > 0.05). During SEV and HVY, but not MOD, the rates of change in M-wave amplitude and neural drive were correlated with changes in muscle metabolic ([PCr], [lactate]) and blood ionic/acid-base status ([lactate], [K+]) ( P < 0.05). The results of this study indicate that the metabolic and neuromuscular determinants of fatigue development differ according to the intensity domain in which the exercise is performed. NEW & NOTEWORTHY The gas exchange threshold and the critical power demarcate discrete exercise intensity domains. For the first time, we show that the limit of tolerance during whole-body exercise within these domains is characterized by distinct metabolic and neuromuscular responses. Fatigue development during exercise greater than critical power is associated with the attainment of consistent “limiting” values of muscle metabolites, whereas substrate availability and limitations to muscle activation may constrain performance at lower intensities.
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Cites
A new method for detecting anaerobic threshold by gas exchange
Beaver, W. L., Wasserman, K., & Whipp, B. J. (1986) · Journal of Applied Physiology · doi:10.1152/jappl.1986.60.6.2020 · Cited by 4,103
Cellular mechanisms of muscle fatigue
Fitts, R. H. (1994) · Physiological Reviews · doi:10.1152/physrev.1994.74.1.49 · Cited by 1,537 · cited 2×
“It is therefore possible that the eventual failure of subjects to maintain the requisite power output was caused by attainment of sufficiently low values of [PCr] and, perhaps, [ATP], and/or sufficiently high values of muscle metabolites ([Pi], [ADP], [H ], and their sequelae) within some of the recruited muscle fiber…”
BackgroundGollnick, P. D., Piehl, K., & Saltin, B. (1974) · The Journal of Physiology · doi:10.1113/jphysiol.1974.sp010639 · Cited by 643
Muscle Glycogen Content Modifies SR Ca2+ Release Rate in Elite Endurance Athletes
GEJL, K. D., HVID, L. G., FRANDSEN, U., JENSEN, K., SAHLIN, K., & ØRTENBLAD, N. (2014) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000000132 · Cited by 94
Duhamel, T. A., Perco, J. G., & Green, H. J. (2006) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00858.2005 · Cited by 67
Cited by
An Examination and Critique of Current Methods to Determine Exercise Intensity
Jamnick, N. A., Pettitt, R. W., Granata, C., Pyne, D. B., & Bishop, D. J. (2020) · Sports Medicine · doi:10.1007/s40279-020-01322-8 · Cited by 424
Ansdell, P., Thomas, K., Hicks, K. M., Hunter, S. K., Howatson, G., & Goodall, S. (2020) · Experimental Physiology · doi:10.1113/ep088548 · Cited by 403
The anaerobic threshold: 50+ years of controversy
Poole, D. C., Rossiter, H. B., Brooks, G. A., & Gladden, L. B. (2021) · The Journal of Physiology · doi:10.1113/jp279963 · Cited by 312
The maximal metabolic steady state: redefining the ‘gold standard’
Jones, A. M., Burnley, M., Black, M. I., Poole, D. C., & Vanhatalo, A. (2019) · Physiological Reports · doi:10.14814/phy2.14098 · Cited by 298
Self-citationEgan, B., & Sharples, A. P. (2023) · Physiological Reviews · doi:10.1152/physrev.00054.2021 · Cited by 278
Metadata
- Authors
- Black, M. I., Jones, A. M., Blackwell, J. R., Bailey, S. J., Wylie, L. J., McDonagh, S. T. J., Thompson, C., Kelly, J., Sumners, P., Mileva, K. N., Bowtell, J. L., & Vanhatalo, A.
- Venue
- Journal of Applied Physiology
- Publisher
- American Physiological Society
- Published
- 2017-03-01
- Volume
- 122
- Issue
- 3
- Pages
- 446-459
- ISSN
- 0161-7567 (ISSN-L)
- 8750-7587
- 1522-1601
- OpenAlex
- W2565846366
- Cited by
- 301
- References
- 5
- FWCI
- 28.49
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Black, M. I., Jones, A. M., Blackwell, J. R., Bailey, S. J., Wylie, L. J., McDonagh, S. T. J., Thompson, C., Kelly, J., Sumners, P., Mileva, K. N., Bowtell, J. L., & Vanhatalo, A. (2017). Muscle metabolic and neuromuscular determinants of fatigue during cycling in different exercise intensity domains. Journal of Applied Physiology. https://doi.org/10.1152/japplphysiol.00942.2016
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