The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Dynamic asymmetry of phosphocreatine concentration and O2 uptake between the on‐ and off‐transients of moderate‐ and high‐intensity exercise in humans
Open accessAbstract
The on‐ and off‐transient (i.e. phase II) responses of pulmonary oxygen uptake (V̇O2) to moderate‐intensity exercise (i.e. below the lactate threshold, θ L) in humans has been shown to conform to both mono‐exponentiality and ‘on‐off’ symmetry, consistent with a system manifesting linear control dynamics. However above θ L the V̇O2 kinetics have been shown to be more complex: during high‐intensity exercise neither mono‐exponentiality nor ‘on‐off’ symmetry have been shown to appropriately characterise the V̇O2 response. Muscle [phosphocreatine] ([PCr]) responses to exercise, however, have been proposed to be dynamically linear with respect to work rate, and to demonstrate ‘on‐off’ symmetry at all work intenisties. We were therefore interested in examining the kinetic characteristics of the V̇O2 and [PCr] responses to moderate‐ and high‐intensity knee‐extensor exercise in order to improve our understanding of the factors involved in the putative phosphate‐linked control of muscle oxygen consumption. We estimated the dynamics of intramuscular [PCr] simultaneously with those of V̇O2 in nine healthy males who performed repeated bouts of both moderate‐ and high‐intensity square‐wave, knee‐extension exercise for 6 min, inside a whole‐body magnetic resonance spectroscopy (MRS) system. A transmit‐receive surface coil placed under the right quadriceps muscle allowed estimation of intramuscular [PCr]; V̇O2 was measured breath‐by‐breath using a custom‐designed turbine and a mass spectrometer system. For moderate exercise, the kinetics were well described by a simple mono‐exponential function (following a short cardiodynamic phase for V̇O2,), with time constants (τ) averaging: τV̇O2,on 35 ± 14 s (±s.d.), τ[PCr]on 33 ± 12 s, τV̇O2,off 50 ± 13 s and τ[PCr]off 51 ± 13 s. The kinetics for both V̇O2 and [PCr] were more complex for high‐intensity exercise. The fundamental phase expressing average τ values of τV̇O2,on 39 ± 4 s, τ[PCr]on 38 ± 11 s, τV̇O2,off 51 ± 6 s and τ[PCr]off 47 ± 11 s. An associated slow component was expressed in the on‐transient only for both V̇O2 and [PCr], and averaged 15.3 ± 5.4 and 13.9 ± 9.1 % of the fundamental amplitudes for V̇O2 and [PCr], respectively. In conclusion, the τ values of the fundamental component of [PCr] and V̇O2 dynamics cohere to within 10 %, during both the on‐ and off‐transients to a constant‐load work rate of both moderate‐ and high‐intensity exercise. On average, ≈90 % of the magnitude of the V̇O2 slow component during high‐intensity exercise is reflected within the exercising muscle by its [PCr] response.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Plasma potassium changes with high intensity exercise.
Medbø, J. I., & Sejersted, O. M. (1990) · The Journal of Physiology · doi:10.1113/jphysiol.1990.sp017935 · Cited by 275
Large energetic adaptations of elderly muscle to resistance and endurance training
Jubrias, S. A., Esselman, P. C., Price, L. B., Cress, M. E., & Conley, K. E. (2001) · Journal of Applied Physiology · doi:10.1152/jappl.2001.90.5.1663 · Cited by 213
(1996) · doi:10.1002/cphy.cp120118 · Cited by 113
Cited by
Bishop, D. (2003) · Sports Medicine · doi:10.2165/00007256-200333070-00002 · Cited by 753
Bailey, S. J., Fulford, J., Vanhatalo, A., Winyard, P. G., Blackwell, J. R., DiMenna, F. J., Wilkerson, D. P., Benjamin, N., & Jones, A. M. (2010) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00046.2010 · Cited by 607
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
Oxidative phosphorylation: regulation and role in cellular and tissue metabolism
Wilson, D. F. (2017) · The Journal of Physiology · doi:10.1113/jp273839 · Cited by 377
Slow Component of V˙O2 Kinetics: Mechanistic Bases and Practical Applications
JONES, A. M., GRASSI, B., CHRISTENSEN, P. M., KRUSTRUP, P., BANGSBO, J., & POOLE, D. C. (2011) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31821fcfc1 · Cited by 353
Kirby, B. S., Clark, D. A., Bradley, E. M., & Wilkins, B. W. (2021) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00058.2021 · Cited by 66
Wüst, R. C. I., van der Laarse, W. J., & Rossiter, H. B. (2013) · The Journal of Physiology · doi:10.1113/jphysiol.2012.241992 · Cited by 44
Self-citationTwycross-Lewis, R., Kilduff, L. P., Wang, G., & Pitsiladis, Y. P. (2016) · Amino Acids · doi:10.1007/s00726-016-2237-9 · Cited by 36
Recovery dynamics of skeletal muscle oxygen uptake during the exercise off-transient
Behnke, B. J., Ferreira, L. F., McDonough, P. J., Musch, T. I., & Poole, D. C. (2009) · Respiratory Physiology & Neurobiology · doi:10.1016/j.resp.2009.07.013 · Cited by 25
Arnold, J. I., Yogev, A., Nelson, H., van Hooff, M., & Koehle, M. S. (2024) · Frontiers in Physiology · doi:10.3389/fphys.2024.1449384 · Cited by 8
Tanji, F., & Nabekura, Y. (2019) · The Journal of Sports Medicine and Physical Fitness · doi:10.23736/s0022-4707.18.08828-x · Cited by 5
Metadata
- Authors
- Rossiter, H. B., Ward, S. A., Kowalchuk, J. M., Howe, F. A., Griffiths, J. R., & Whipp, B. J.
- Venue
- The Journal of Physiology
- Publisher
- Wiley
- Published
- 2002-06
- Volume
- 541
- Issue
- 3
- Pages
- 991-1002
- ISSN
- 0022-3751 (ISSN-L)
- 1469-7793
- OpenAlex
- W2018108564
- Cited by
- 364
- References
- 3
- FWCI
- 30.81
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
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.