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Clinical Trial
. 2019 Sep 1;127(3):698-706.
doi: 10.1152/japplphysiol.00273.2019. Epub 2019 Jul 18.

Determinants of skeletal muscle oxygen consumption assessed by near-infrared diffuse correlation spectroscopy during incremental handgrip exercise

Affiliations
Clinical Trial

Determinants of skeletal muscle oxygen consumption assessed by near-infrared diffuse correlation spectroscopy during incremental handgrip exercise

Ryan Rosenberry et al. J Appl Physiol (1985). .

Abstract

Near-infrared diffuse correlation spectroscopy (DCS) is a rapidly evolving optical imaging technique for the assessment of skeletal muscle O2 utilization (mVO2). We compared DCS-derived determinants of mVO2 with conventional measures [blood flow by brachial artery Doppler ultrasound and venous O2 saturation (SVO2)] in eight volunteers at rest and during incremental handgrip exercise. Brachial artery blood flow and DCS-derived blood flow index (BFI) were linearly related (R2 = 0.57) and increased with each workload, whereas SVO2 decreased from 65.3 ± 2.5% (rest) to 39.9 ± 3.0% (light exercise; P < 0.01) with no change thereafter. In contrast, DCS-derived tissue O2 saturation decreased progressively with each incremental stage (P < 0.01), driven almost entirely by an initial steep rise in deoxyhemoglobin/myoglobin, followed by a linear increase thereafter. Whereas seemingly disparate at first glance, we believe these two approaches provide similar information. Indeed, by plotting the mean convective O2 delivery and diffusive O2 conductance, we show that the initial increase in mVO2 during the transition from rest to exercise was achieved by a greater increase in diffusive O2 conductance versus convective O2 delivery (10-fold vs. 4-fold increase, respectively), explaining the initial decline in SVO2. In contrast, the increase in mVO2 from light to heavy exercise was achieved by equal increases (1.8-fold) in convective O2 delivery and diffusive O2 conductance, explaining the plateau in SVO2. That DCS-derived BFI and deoxyhemoglobin/myoglobin (surrogate measure of O2 extraction) share the same general biphasic pattern suggests that both DCS and conventional approaches provide complementary information regarding the determinants of mVO2.NEW & NOTEWORTHY Near-infrared diffuse correlation spectroscopy (DCS) is an emerging optical imaging technique for quantifying skeletal muscle O2 delivery and utilization at the microvascular level. Here, we show that DCS provides complementary insight into the determinants of muscle O2 consumption across a wide range of exercise intensities, further establishing the utility of DCS.

Keywords: Fick principle; blood flow; near-infrared spectroscopy; oxygen uptake.

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Conflict of interest statement

No conflicts of interest, financial or otherwise, are declared by the authors.

Figures

Fig. 1.
Fig. 1.
A–C: conventional measures of muscle O2 consumption. A: Doppler-derived brachial artery blood flow. B: arterial-venous O2 difference. C: skeletal muscle O2 consumption (V̇o2). D–F: diffuse correlation spectroscopy (DCS)-derived determinants of relative muscle O2 consumption.D: DCS-derived blood flow index. E: near-infrared spectroscopy-derived skeletal muscle tissue saturation. F: relative muscle V̇o2. Rhythmic handgrip began with a fixed workload of 10 kg and progressed by 3 kg every 3 min thereafter. Arrows depict the onset of exercise. Data are reported as means ± SE; n = 8.
Fig. 2.
Fig. 2.
Near-infrared-derived oxygenated (Oxy; A), deoxygenated (Deoxy; B), and total (C) hemoglobin (Hb)/myoglobin (Mb) at rest and throughout the incremental handgrip exercise protocol. Rhythmic handgrip began with a fixed workload of 10 kg and progressed by 3 kg every 3 min thereafter. Data are reported as means ± SE; n = 8. Oxygenated hemoglobin/myoglobin remained unchanged from rest throughout exercise, whereas deoxygenated and total hemoglobin/myoglobin increased with graded exercise (P < 0.01 for both).
Fig. 3.
Fig. 3.
The Fick principle curve depicts muscle O2 consumption (mVO2) as a function of convective O2 delivery (curved line) vs. venous partial pressure of O2 (Po2). Fick’s law of diffusion depicts mVO2 as a function of venous Po2, with the slope (straight line) representative of muscle O2 diffusive conductance. The intersection of these lines determines the mVO2 achieved. A: the transition from rest to 10 kg of rhythmic handgrip exercise was achieved by a greater increase in diffusive O2 conductance compared with convective O2 delivery. B: the increase in mVO2 from 10 to 19 kg was achieved by an increase in both convective O2 delivery and diffuse O2 conductance that resulted in a minimal change in venous Po2. C: the arterial (open bars) and venous (closed bars) O2 transport at rest and at the end of each respective exercise workload. O2 utilization (O2 Util.) was calculated as the differences between arterial and venous O2 transport, expressed in milliliters of O2 per minute. Data are reported as means ± SE; n = 8.
Fig. 4.
Fig. 4.
A: relationship between Doppler-derived brachial artery blood flow and diffuse correlation spectroscopy (DCS)-derived blood flow index (BFI) across the incremental exercise test. B: relationship between DCS-derived BFI and near-infrared spectroscopy-derived deoxy hemoglobin (Hb) + myoglobin (Mb; an indicator fractional O2 extraction). C: relationship between conventional muscle O2 utilization (mVO2) and DCS-derived metabolic rate of O2 (MRO2). Individuals are color coded across each panel to highlight intra-individual relationships, which ranged between 0.62 and 0.99 for A, 0.76 and 0.98 for B, and 0.54 and 0.98 for C.

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References

    1. Baker WB, Li Z, Schenkel SS, Chandra M, Busch DR, Englund EK, Schmitz KH, Yodh AG, Floyd TF, Mohler ER III. Effects of exercise training on calf muscle oxygen extraction and blood flow in patients with peripheral artery disease. J Appl Physiol (1985) 123: 1599–1609, 2017. doi:10.1152/japplphysiol.00585.2017. - DOI - PMC - PubMed
    1. Bangalore-Yogananda CG, Rosenberry R, Soni S, Liu H, Nelson MD, Tian F. Concurrent measurement of skeletal muscle blood flow during exercise with diffuse correlation spectroscopy and Doppler ultrasound. Biomed Opt Express 9: 131–141, 2017. doi:10.1364/BOE.9.000131. - DOI - PMC - PubMed
    1. Barstow TJ. Understanding near infrared spectroscopy and its application to skeletal muscle research. J Appl Physiol (1985) 126: 1360–1376, 2019. doi:10.1152/japplphysiol.00166.2018. - DOI - PubMed
    1. Bentley RF, Kellawan JM, Moynes JS, Poitras VJ, Walsh JJ, Tschakovsky ME. Individual susceptibility to hypoperfusion and reductions in exercise performance when perfusion pressure is reduced: evidence for vasodilator phenotypes. J Appl Physiol (1985) 117: 392–405, 2014. doi:10.1152/japplphysiol.01155.2013. - DOI - PMC - PubMed
    1. Berg OK, Nyberg SK, Windedal TM, Wang E. Maximal strength training-induced improvements in forearm work efficiency are associated with reduced blood flow. Am J Physiol Heart Circ Physiol 314: H853–H862, 2018. doi:10.1152/ajpheart.00435.2017. - DOI - PMC - PubMed

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