Oxygen uptake slow component: Enigma of the ‘excess’ oxygen used during heavy and severe exercise

IF 2.8 4区 医学 Q2 PHYSIOLOGY Experimental Physiology Pub Date : 2024-10-28 DOI:10.1113/EP092326
David C. Poole, Glenn A. Gaesser
{"title":"Oxygen uptake slow component: Enigma of the ‘excess’ oxygen used during heavy and severe exercise","authors":"David C. Poole,&nbsp;Glenn A. Gaesser","doi":"10.1113/EP092326","DOIUrl":null,"url":null,"abstract":"<p>In the 1980s, foundational physiology and exercise physiology texts considered that oxygen uptake (<span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}}}$</annotation>\n </semantics></math>) increased as a linear function of work rate (WR) on the cycle ergometer. Whereas this was true up to the maximum <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}}}$</annotation>\n </semantics></math> (<span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <mrow>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n <mi>max</mi>\n </mrow>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}{\\mathrm{max}}}}$</annotation>\n </semantics></math>) for incremental exercise where WR was increased by 25 W or so per minute, for constant WR heavy- (i.e., &gt;lactate threshold, LT) or severe- (&gt;critical power, CP) intensity exercise there was an ‘excess’ <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}}}$</annotation>\n </semantics></math> that manifested after the fast kinetics associated with the WR transition (Gaesser &amp; Poole, <span>1996</span>). This excess <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}}}$</annotation>\n </semantics></math> became evident only after 2–3 min and for heavy exercise stabilized within 10 or so minutes or, for severe exercise, projected <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}}}$</annotation>\n </semantics></math> to <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <mrow>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n <mi>max</mi>\n </mrow>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}{\\mathrm{max}}}}$</annotation>\n </semantics></math> auguring exhaustion shortly thereafter. In the extreme, this <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}}}$</annotation>\n </semantics></math> slow component (<span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <mrow>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n <mi>SC</mi>\n </mrow>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}{\\mathrm{SC}}}}$</annotation>\n </semantics></math>) can amount to 1–1.5 L O<sub>2</sub>/min, eroding muscle efficiency.</p><p>For physiologists seeking to better understand muscle energetics and exercise limitations, non-linear behaviour often provides powerful insights into systems control. However, at the time, explanations for the <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <mrow>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n <mi>SC</mi>\n </mrow>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_{\\mathrm{2}}}{\\mathrm{SC}}}}$</annotation>\n </semantics></math> were less than satisfying. Typically, researchers in the field had extrapolated the estimated O<sub>2</sub> cost of an array of physiological processes to calculate their putative role in the <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <mrow>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n <mi>SC</mi>\n </mrow>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}{\\mathrm{SC}}}}$</annotation>\n </semantics></math> during heavy/severe intensity exercise (Gaesser &amp; Poole, <span>1996</span>). Alternatively, the temporal correlation of these processes with the <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <mrow>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n <mi>SC</mi>\n </mrow>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}{\\mathrm{SC}}}}$</annotation>\n </semantics></math> was assessed to try and establish cause and effect. Principal processes considered included increasing ventilation, body temperature, blood lactate and catecholamines. Neither approach was especially satisfying; the former could explain far more than 100% of the <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <mrow>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n <mi>SC</mi>\n </mrow>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}{\\mathrm{SC}}}}$</annotation>\n </semantics></math>(!), and the latter could not discriminate causal from casual.</p><p>What was needed was a technique that had the power to parse among candidate variables. The initial strategy was to independently measure leg muscle(s) <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}}}$</annotation>\n </semantics></math> simultaneously with pulmonary <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}}}$</annotation>\n </semantics></math> during heavy/severe intensity exercise. This procedure unequivocally identified the exercising muscles as the source of the majority (&gt;80%) of the <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <mrow>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n <mi>SC</mi>\n </mrow>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}{\\mathrm{SC}}}}$</annotation>\n </semantics></math>, thereby discounting a major role for ventilation, body temperature, auxiliary muscles and circulating factors such as lactate and catecholamines that might raise the metabolic rate outside the exercising muscles (Poole, <span>1994</span>). Based upon subsequent a priori investigations, lactate and catecholamines as well as temperature increases acting within the exercising muscles were also discounted in this regard (Gaesser &amp; Poole, <span>1996</span>).</p><p>Viable remaining candidates relating to the altered physicochemical milieu associated with heavy/severe intensity exercise included fatiguing muscle fibres, recruitment of additional, more fast-twitch, and less efficient muscle fibres, decreased mitochondrial P:O (i.e., ATP:O<sub>2</sub>) ratio and less efficient chemical–mechanical coupling. To date, most of these remain possibilities, though decreased P:O ratio – high O<sub>2</sub> cost of phosphate production – seems unlikely (Rossiter et al., <span>2002</span>) and, in dog and human muscles, the recruitment of additional muscle fibres is not requisite for a <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <mrow>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n <mi>SC</mi>\n </mrow>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}{\\mathrm{SC}}}}$</annotation>\n </semantics></math> effect (e.g., Zoladz et al., <span>2008</span>).</p><p>However, a tacit presumption of many previous investigators pursuing the mechanistic bases for the <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <mrow>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n <mi>SC</mi>\n </mrow>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}{\\mathrm{SC}}}}$</annotation>\n </semantics></math> was that the external power produced reflected unchanged muscular input. One commendable novelty, among several, of a study by Macdougall and colleagues (<span>2025</span>), in this issue of <i>Experimental Physiology</i>, is that they considered and measured the biomechanics of cycling and determined how it changed relative to the generation of the <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <mrow>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n <mi>SC</mi>\n </mrow>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}{\\mathrm{SC}}}}$</annotation>\n </semantics></math> in concert with (almost) real-time determination of quadriceps muscle fatigue. Their data reveal that, although power remained constant over 20 min or so whilst the <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <mrow>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n <mi>SC</mi>\n </mrow>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}{\\mathrm{SC}}}}$</annotation>\n </semantics></math> was developing, biomechanical indices of peak total downstroke force, minimum upstroke force and the upstroke index of effectiveness were not constant and showed a weak correlation with the <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <mrow>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n <mi>SC</mi>\n </mrow>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}{\\mathrm{SC}}}}$</annotation>\n </semantics></math>. Importantly, the observed association between muscle fatigue and the <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <mrow>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n <mi>SC</mi>\n </mrow>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}{\\mathrm{SC}}}}$</annotation>\n </semantics></math> was highly significant, underlining the relevance of these findings despite considerable interindividual variability in the primary measurements. Indeed, even though all subjects exercised at a well-defined power output of 10% above their individually estimated second lactate threshold, time to task failure ranged from ∼10 to 55 min. This is not trivial as factors affecting muscle fatigue as well as the <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <mrow>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n <mi>SC</mi>\n </mrow>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}{\\mathrm{SC}}}}$</annotation>\n </semantics></math> undoubtedly differ when comparing fatiguing exercise among subjects with a &gt;5-fold range in time to task failure. The relatively high pedalling cadence of 80 rpm may have contributed to the large response heterogeneity as cadence has varying impacts on CP (i.e., relative to preferred cadence) (Carnevale &amp; Gaesser, <span>1991</span>). The metabolic stress of exercise may have differed across subjects as a result, making it more challenging to identify a specific cause for the associated <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}}}$</annotation>\n </semantics></math> response across this substantial range in exercise duration.</p><p>The road from scientific discovery to general acceptance can be fraught with hurdles. For example, Dr Barbara McClintock's identification of ‘jumping genes’ in maize in the 1940s and 1950s was initially disbelieved, then begrudgingly acknowledged, but dismissed as unimportant. It was only decades later, in 1983, when its fundamental relevance was appreciated and rewarded with an unopposed Nobel Prize in Physiology or Medicine for the discovery of genetic transposition. For her brilliance, tenacity, and multiple apex achievements, she became, in 2005, the only woman scientist to be lauded with her picture on a U.S. postage stamp. In like fashion, the <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <mrow>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n <mi>SC</mi>\n </mrow>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}{\\mathrm{SC}}}}$</annotation>\n </semantics></math> has been disputed, ignored, dismissed as unimportant or inconvenient, and until relatively recently, has been underappreciated for its great potential to resolve key facets of skeletal muscle energetics during exercise. The intriguing findings of MacDougall and colleagues (<span>2025</span>) take us away from the Ockham's razor approach of looking for a singular driver of the <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <mrow>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n <mi>SC</mi>\n </mrow>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}{\\mathrm{SC}}}}$</annotation>\n </semantics></math> and force acknowledgment that not only may multiple factors contribute to its evolution, but those factors likely differ considerably across individuals.</p><p>Resolution of the mechanistic bases for the <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <mrow>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n <mi>SC</mi>\n </mrow>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}{\\mathrm{SC}}}}$</annotation>\n </semantics></math> will not only enhance our fundamental understanding of muscle energetics but is also likely to have broad applications across medicine and society. For instance, if the <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <mrow>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n <mi>SC</mi>\n </mrow>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}{\\mathrm{SC}}}}$</annotation>\n </semantics></math> can be controlled such that it does not progress the individual to <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <mrow>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n <mi>max</mi>\n </mrow>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}{\\mathrm{max}}}}$</annotation>\n </semantics></math>, exercise tolerance can be increased. This is particularly pertinent for patients with heart failure or with chronic obstructive pulmonary disease (COPD, emphysema, chronic bronchitis) for whom the <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <mrow>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n <mi>SC</mi>\n </mrow>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}{\\mathrm{SC}}}}$</annotation>\n </semantics></math> forces encroachment on their low and limiting ceiling for cardiovascular or ventilatory function, respectively, crippling exercise capacity (Gaesser &amp; Poole, <span>1996</span>). In contrast, with the upwards spiral of obesity in the developed world, it is conceivable that the ‘luxurious’ calorigenic effects of the <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <mrow>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n <mi>SC</mi>\n </mrow>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}{\\mathrm{SC}}}}$</annotation>\n </semantics></math> could be marshalled to enhance the efficacy of exercise to restore a better caloric balance across affected populations. Specifically, targeting exercise that produced the greatest tolerable <span></span><math>\n <semantics>\n <msub>\n <mover>\n <mi>V</mi>\n <mo>̇</mo>\n </mover>\n <mrow>\n <msub>\n <mi>O</mi>\n <mn>2</mn>\n </msub>\n <mi>SC</mi>\n </mrow>\n </msub>\n <annotation>${{\\dot{V}}_{{{{\\mathrm{O}}}_2}{\\mathrm{SC}}}}$</annotation>\n </semantics></math> would expend more calories and thereby accelerate weight loss.</p><p>All authors have read and approved the final version of this manuscript and agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. All persons designated as authors qualify for authorship, and all those who qualify for authorship are listed.</p><p>None declared.</p>","PeriodicalId":12092,"journal":{"name":"Experimental Physiology","volume":"110 1","pages":"13-14"},"PeriodicalIF":2.8000,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11689364/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Experimental Physiology","FirstCategoryId":"3","ListUrlMain":"https://physoc.onlinelibrary.wiley.com/doi/10.1113/EP092326","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHYSIOLOGY","Score":null,"Total":0}
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Abstract

In the 1980s, foundational physiology and exercise physiology texts considered that oxygen uptake ( V ̇ O 2 ${{\dot{V}}_{{{{\mathrm{O}}}_2}}}$ ) increased as a linear function of work rate (WR) on the cycle ergometer. Whereas this was true up to the maximum V ̇ O 2 ${{\dot{V}}_{{{{\mathrm{O}}}_2}}}$ ( V ̇ O 2 max ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{max}}}}$ ) for incremental exercise where WR was increased by 25 W or so per minute, for constant WR heavy- (i.e., >lactate threshold, LT) or severe- (>critical power, CP) intensity exercise there was an ‘excess’ V ̇ O 2 ${{\dot{V}}_{{{{\mathrm{O}}}_2}}}$ that manifested after the fast kinetics associated with the WR transition (Gaesser & Poole, 1996). This excess V ̇ O 2 ${{\dot{V}}_{{{{\mathrm{O}}}_2}}}$ became evident only after 2–3 min and for heavy exercise stabilized within 10 or so minutes or, for severe exercise, projected V ̇ O 2 ${{\dot{V}}_{{{{\mathrm{O}}}_2}}}$ to V ̇ O 2 max ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{max}}}}$ auguring exhaustion shortly thereafter. In the extreme, this V ̇ O 2 ${{\dot{V}}_{{{{\mathrm{O}}}_2}}}$ slow component ( V ̇ O 2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$ ) can amount to 1–1.5 L O2/min, eroding muscle efficiency.

For physiologists seeking to better understand muscle energetics and exercise limitations, non-linear behaviour often provides powerful insights into systems control. However, at the time, explanations for the V ̇ O 2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_{\mathrm{2}}}{\mathrm{SC}}}}$ were less than satisfying. Typically, researchers in the field had extrapolated the estimated O2 cost of an array of physiological processes to calculate their putative role in the V ̇ O 2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$ during heavy/severe intensity exercise (Gaesser & Poole, 1996). Alternatively, the temporal correlation of these processes with the V ̇ O 2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$ was assessed to try and establish cause and effect. Principal processes considered included increasing ventilation, body temperature, blood lactate and catecholamines. Neither approach was especially satisfying; the former could explain far more than 100% of the V ̇ O 2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$ (!), and the latter could not discriminate causal from casual.

What was needed was a technique that had the power to parse among candidate variables. The initial strategy was to independently measure leg muscle(s) V ̇ O 2 ${{\dot{V}}_{{{{\mathrm{O}}}_2}}}$ simultaneously with pulmonary V ̇ O 2 ${{\dot{V}}_{{{{\mathrm{O}}}_2}}}$ during heavy/severe intensity exercise. This procedure unequivocally identified the exercising muscles as the source of the majority (>80%) of the V ̇ O 2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$ , thereby discounting a major role for ventilation, body temperature, auxiliary muscles and circulating factors such as lactate and catecholamines that might raise the metabolic rate outside the exercising muscles (Poole, 1994). Based upon subsequent a priori investigations, lactate and catecholamines as well as temperature increases acting within the exercising muscles were also discounted in this regard (Gaesser & Poole, 1996).

Viable remaining candidates relating to the altered physicochemical milieu associated with heavy/severe intensity exercise included fatiguing muscle fibres, recruitment of additional, more fast-twitch, and less efficient muscle fibres, decreased mitochondrial P:O (i.e., ATP:O2) ratio and less efficient chemical–mechanical coupling. To date, most of these remain possibilities, though decreased P:O ratio – high O2 cost of phosphate production – seems unlikely (Rossiter et al., 2002) and, in dog and human muscles, the recruitment of additional muscle fibres is not requisite for a V ̇ O 2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$ effect (e.g., Zoladz et al., 2008).

However, a tacit presumption of many previous investigators pursuing the mechanistic bases for the V ̇ O 2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$ was that the external power produced reflected unchanged muscular input. One commendable novelty, among several, of a study by Macdougall and colleagues (2025), in this issue of Experimental Physiology, is that they considered and measured the biomechanics of cycling and determined how it changed relative to the generation of the V ̇ O 2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$ in concert with (almost) real-time determination of quadriceps muscle fatigue. Their data reveal that, although power remained constant over 20 min or so whilst the V ̇ O 2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$ was developing, biomechanical indices of peak total downstroke force, minimum upstroke force and the upstroke index of effectiveness were not constant and showed a weak correlation with the V ̇ O 2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$ . Importantly, the observed association between muscle fatigue and the V ̇ O 2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$ was highly significant, underlining the relevance of these findings despite considerable interindividual variability in the primary measurements. Indeed, even though all subjects exercised at a well-defined power output of 10% above their individually estimated second lactate threshold, time to task failure ranged from ∼10 to 55 min. This is not trivial as factors affecting muscle fatigue as well as the V ̇ O 2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$ undoubtedly differ when comparing fatiguing exercise among subjects with a >5-fold range in time to task failure. The relatively high pedalling cadence of 80 rpm may have contributed to the large response heterogeneity as cadence has varying impacts on CP (i.e., relative to preferred cadence) (Carnevale & Gaesser, 1991). The metabolic stress of exercise may have differed across subjects as a result, making it more challenging to identify a specific cause for the associated V ̇ O 2 ${{\dot{V}}_{{{{\mathrm{O}}}_2}}}$ response across this substantial range in exercise duration.

The road from scientific discovery to general acceptance can be fraught with hurdles. For example, Dr Barbara McClintock's identification of ‘jumping genes’ in maize in the 1940s and 1950s was initially disbelieved, then begrudgingly acknowledged, but dismissed as unimportant. It was only decades later, in 1983, when its fundamental relevance was appreciated and rewarded with an unopposed Nobel Prize in Physiology or Medicine for the discovery of genetic transposition. For her brilliance, tenacity, and multiple apex achievements, she became, in 2005, the only woman scientist to be lauded with her picture on a U.S. postage stamp. In like fashion, the V ̇ O 2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$ has been disputed, ignored, dismissed as unimportant or inconvenient, and until relatively recently, has been underappreciated for its great potential to resolve key facets of skeletal muscle energetics during exercise. The intriguing findings of MacDougall and colleagues (2025) take us away from the Ockham's razor approach of looking for a singular driver of the V ̇ O 2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$ and force acknowledgment that not only may multiple factors contribute to its evolution, but those factors likely differ considerably across individuals.

Resolution of the mechanistic bases for the V ̇ O 2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$ will not only enhance our fundamental understanding of muscle energetics but is also likely to have broad applications across medicine and society. For instance, if the V ̇ O 2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$ can be controlled such that it does not progress the individual to V ̇ O 2 max ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{max}}}}$ , exercise tolerance can be increased. This is particularly pertinent for patients with heart failure or with chronic obstructive pulmonary disease (COPD, emphysema, chronic bronchitis) for whom the V ̇ O 2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$ forces encroachment on their low and limiting ceiling for cardiovascular or ventilatory function, respectively, crippling exercise capacity (Gaesser & Poole, 1996). In contrast, with the upwards spiral of obesity in the developed world, it is conceivable that the ‘luxurious’ calorigenic effects of the V ̇ O 2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$ could be marshalled to enhance the efficacy of exercise to restore a better caloric balance across affected populations. Specifically, targeting exercise that produced the greatest tolerable V ̇ O 2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$ would expend more calories and thereby accelerate weight loss.

All authors have read and approved the final version of this manuscript and agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. All persons designated as authors qualify for authorship, and all those who qualify for authorship are listed.

None declared.

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吸氧缓慢的原因:大运动量和剧烈运动时 "过量 "使用氧气之谜。
在20世纪80年代,基础生理学和运动生理学教科书认为,在循环测功仪上,摄氧量(V (O) 2 ${{\dot{V}}_{{{{\ maththrm {O}}}_2}} $)的增加是工作速率(WR)的线性函数。然而,这是正确的,直到最大的V (O) 2 ${{\dot{V}}_{{{{\mathrm{O}}}_2}} $ (V (O)2 max ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{max}}}}$)用于每分钟增加25 W左右的增量运动,对于恒定的WR重-(即乳酸门槛,LT)或严重-(临界功率),CP)强度运动后,与WR转变相关的快速动力学(Gaesser &amp;普尔,1996)。过量的V²${{\dot{V}}_{{{{\ mathm {O}}}}}}$在2 - 3分钟后才变得明显,剧烈运动在10分钟左右稳定下来,剧烈运动时,${{\dot{V}}_{{{{\mathrm{O}}}_2}}}$投影到V³0 2 max ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{max}}}}$预示此后不久的耗尽。在极端情况下,${{\dot{V}}_{{{{\mathrm{O}}}_2}}}$慢速组件(VO2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$)可达1-1.5 L O2/min,侵蚀肌肉效率。对于寻求更好地理解肌肉能量学和运动限制的生理学家来说,非线性行为通常为系统控制提供了强有力的见解。然而,在当时,对于v_2 SC ${{\dot{V}}_{{{{\ mathm {O}} _{\ mathm {2}}}{\ mathm {SC}}}}$的解释并不令人满意。 通常情况下,该领域的研究人员推断出一系列生理过程的估计氧气成本,以计算它们在vo2 SC中的假定作用${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$在高/高强度运动(Gaesser &amp;普尔,1996)。另外,评估了这些过程与v_o_2 SC ${{\dot{V}}_{{{{\mathrm{O}} _2}{\mathrm{SC}}}}$的时间相关性,试图建立因果关系。​考虑的主要过程包括增加通气、体温、血乳酸和儿茶酚胺。这两种方法都不是特别令人满意;前者可以解释远远超过100%的v_2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$ (!),后者不能区分因果关系和随意关系。需要的是一种能够解析候选变量的技术。最初的策略是与肺V同时独立测量腿部肌肉V (s) V (O) 2 ${{\dot{V}}_{{{{\mathrm{O}}}_2}}}$在高强度/高强度运动时,2 ${{\dot{V}}_{{{{\mathrm{O}}}_2}}}$。该程序明确地将运动肌肉确定为大多数(&gt;80%)的V²SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$从而忽略了通气、体温、辅助肌肉和循环因子(如乳酸和儿茶酚胺)的主要作用,这些因素可能会提高运动肌肉外的代谢率(Poole, 1994)。根据随后的先验调查,乳酸和儿茶酚胺以及运动肌肉内的温度升高也被排除在这方面(Gaesser &amp;普尔,1996)。与高强度/剧烈运动相关的物理化学环境改变相关的可行候选因素包括肌纤维疲劳、额外的、更多的快速抽搐和效率较低的肌纤维的招募、线粒体P:O(即ATP:O2)比率降低以及效率较低的化学-机械耦合。迄今为止,尽管P:O比降低——磷酸盐生产的高氧成本——似乎不太可能(Rossiter et al., 2002),而且,在狗和人类的肌肉中,额外的肌肉纤维的募集对于vo2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$效应并不是必需的(例如,Zoladz等人,2008)。 然而,许多先前的研究者在研究v_o_2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$的机制基础时默认的假设是产生的外部动力反映了不变的肌肉输入。麦克杜格尔及其同事(2025年)在本期《实验生理学》上发表的一项研究中,有一项值得称道的新颖之处,是他们考虑并测量了循环的生物力学,并确定了它是如何相对于vo2 SC的产生而变化的${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$配合(几乎)实时测定股四头肌疲劳。他们的数据显示,虽然在V²SC ${{\dot{V}}_{{{{\mathrm{O}} _2}{\mathrm{SC}}}}$的发展过程中,功率保持在20分钟左右不变,峰值总下冲力生物力学指标;最小上冲程力和上冲程效能指数不是恒定的,与v_o_2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$呈弱相关。重要的是,观察到的肌肉疲劳与v_2 SC ${{\dot{V}}_{{{{\ mathm {O}} _2}{\ mathm {SC}}}}$之间的关联非常显著。尽管在主要测量中存在相当大的个体差异,但强调了这些发现的相关性。事实上,即使所有的受试者都以比他们个人估计的第二乳酸阈值高10%的明确功率输出进行锻炼,到任务失败的时间范围从~ 10到55分钟。这不是微不足道的因素,因为影响肌肉疲劳以及v_2 SC ${{\dot{V}}_{{{{\ mathm {O}}}_2}{\ mathm {SC}}}}$当比较疲劳运动与任务失败时间的5倍范围的受试者时,无疑是不同的。相对较高的80rpm蹬车节奏可能导致了较大的反应异质性,因为节奏对CP有不同的影响(即,相对于首选的节奏)。Gaesser, 1991)。因此,不同受试者的运动代谢压力可能有所不同,因此,在运动持续时间的这个大范围内,确定相关的V²${{\dot{V}}_{{{{\mathrm{O}}}_2}}}$反应的具体原因更具挑战性。从科学发现到被普遍接受的道路可能充满障碍。例如,芭芭拉·麦克林托克博士在20世纪40年代和50年代发现了玉米中的“跳跃基因”,起初人们不相信,后来不情愿地承认了,但又被认为不重要。直到几十年后的1983年,它的根本意义才得到认可,并因发现基因转位而获得了无可匹敌的诺贝尔生理学或医学奖。 由于她的才华、坚韧和多项卓越成就,她在2005年成为唯一一位被美国邮票上印有她的照片的女科学家。同样地,v_2 SC ${{\dot{V}}_{{{{\ mathm {O}}}_2}{\ mathm {SC}}}}$也被认为是不重要的或不方便的,直到最近,它在解决运动过程中骨骼肌能量代谢的关键方面的巨大潜力一直被低估。麦克杜格尔和他的同事们(2025)的有趣发现让我们摆脱了奥卡姆剃刀式的方法,即寻找一个单一的vo2 SC驱动因素${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$并迫使人们承认,不仅有多种因素促成了它的进化,而且这些因素在个体之间可能存在很大差异。解析v_2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$不仅可以增强我们对肌肉能量学,但也可能在医学和社会上有广泛的应用。例如,如果v_2 SC ${{\dot{V}}_{{{{\mathrm{O}} _2}{\mathrm{SC}}}}$可以被控制,这样它就不会使个体前进到V (O) 2 max ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{max}}}}$,可提高运动耐量。这尤其适用于心力衰竭或慢性阻塞性肺疾病(COPD、肺气肿、慢性支气管炎),他们的v_2 SC ${{\dot{V}}_{{{{\mathrm{O}} _2}{\mathrm{SC}}}}$强迫侵犯他们的低上限和限制上限心血管或呼吸功能,分别削弱运动能力(Gaesser &amp;普尔,1996)。相比之下,随着发达国家肥胖的螺旋式上升,可以想象,v_2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$的“奢华”产热效应可以被编组以增强运动在受影响人群中恢复更好的热量平衡的功效。具体地说,目标运动产生最大的可耐受V (O) 2 SC ${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{SC}}}}$将消耗更多的卡路里加速减肥。 所有作者都已阅读并批准了此手稿的最终版本,并同意对工作的各个方面负责,以确保与工作任何部分的准确性或完整性相关的问题得到适当的调查和解决。所有被指定为作者的人都有资格获得作者身份,所有有资格获得作者身份的人都被列出。没有宣布。
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来源期刊
Experimental Physiology
Experimental Physiology 医学-生理学
CiteScore
5.10
自引率
3.70%
发文量
262
审稿时长
1 months
期刊介绍: Experimental Physiology publishes research papers that report novel insights into homeostatic and adaptive responses in health, as well as those that further our understanding of pathophysiological mechanisms in disease. We encourage papers that embrace the journal’s orientation of translation and integration, including studies of the adaptive responses to exercise, acute and chronic environmental stressors, growth and aging, and diseases where integrative homeostatic mechanisms play a key role in the response to and evolution of the disease process. Examples of such diseases include hypertension, heart failure, hypoxic lung disease, endocrine and neurological disorders. We are also keen to publish research that has a translational aspect or clinical application. Comparative physiology work that can be applied to aid the understanding human physiology is also encouraged. Manuscripts that report the use of bioinformatic, genomic, molecular, proteomic and cellular techniques to provide novel insights into integrative physiological and pathophysiological mechanisms are welcomed.
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