Abstract
This research examined the effects of single-dose molecular hydrogen (H2) supplements on acid-base status and local muscle deoxygenation during rest, high-intensity intermittent training (HIIT) performance, and recovery. Ten healthy, trained subjects in a randomized, double-blind, crossover design received H2-rich calcium powder (HCP) (1500 mg, containing 2.544 μg of H2) or H2-depleted placebo (1500 mg) supplements 1 h pre-exercise. They performed six bouts of 7 s all-out pedaling (HIIT) at 7.5% of body weight separated by 40 s pedaling intervals, followed by a recovery period. Blood gases’ pH, PCO2, and HCO3− concentrations were measured at rest. Muscle deoxygenation (deoxy[Hb + Mb]) and tissue O2 saturation (StO2) were determined via time-resolved near-infrared spectroscopy in the vastus lateralis (VL) and rectus femoris (RF) muscles from rest to recovery. At rest, the HCP group had significantly higher PCO2 and HCO3− concentrations and a slight tendency toward acidosis. During exercise, the first HIIT bout’s peak power was significantly higher in HCP (839 ± 112 W) vs. Placebo (816 ± 108 W, p = 0.001), and HCP had a notable effect on significantly increased deoxy[Hb + Mb] concentration during HIIT exercise, despite no differences in heart rate response. The HCP group showed significantly greater O2 extraction in VL and microvascular (Hb) volume in RF during HIIT exercise. The HIIT exercise provided significantly improved blood flow and muscle reoxygenation rates in both the RF and VL during passive recovery compared to rest in all groups. The HCP supplement might exert ergogenic effects on high-intensity exercise and prove advantageous for improving anaerobic HIIT exercise performance.
Keywords: hydrogen, acid status, muscle deoxygenation, high intensity exercise, peak power, exercise performance
1. Introduction
Molecular hydrogen (H2) is a colorless, tasteless, odorless, flammable gas [1]. H2 is also a minimal molecule that can quickly diffuse through the alveoli into the blood and circulate throughout the body during breathing. It can penetrate the cellular membrane and rapidly diffuse into cell organelles, playing major biological roles. Moreover, H2 can easily pass through the blood–brain barrier, although most antioxidant compounds cannot [2]. H2 possesses a selective free radical and inflammation scavenging ability; it is thought to have no effect on physiologically reactive species (e.g., H2O2), since it can selectively reduce ·OH and ONOO− [3]. Molecular hydrogen is believed to have several advantages for applications in sports science [4,5,6]. In addition, H2 can be supplied to the body through multiple routes of administration and can be used with minimal side effects as it is excreted by exhaling. One of the most recently applied methods for administering H2 is through the use of hydro-calcium powder (HCP), which uses extracted calcium to absorb and trap highly concentrated hydrogen molecules (International Patent No. 4472022).
Our previous study revealed that when 1500 mg of HCP was well absorbed in subjects’ intestinal tract for 3 consecutive days, it led to slight acidosis and to increases in the venous partial pressure of CO2 (PCO2) and bicarbonate ion (HCO3−); in addition, the HCP significantly impacted the muscle O2 delivery/utilization ratio in the rectus femoris (RF) muscles but not in the vastus lateralis (VL) muscles during incremental exercise, without impacting the subjects’ exercise performance [7].
Dietary HCP supplementation thus impacted the muscle spatial heterogeneity in muscle deoxygenation (deoxy[Hb + Mb]) kinetics, and, by extension, the O2 delivery (QO2-to-VO2 matching). Because it is possible that the effect of HCP might be more pronounced on RF muscle with predominant fast-twitch-fiber-recruitment [8,9,10], it was speculated that an investigation of the effects of HCP during an anaerobic high-intensity intermittent training (HIIT) exercise in which fast-twitch-fiber-recruitment is dominant might reveal more about the influence of HCP on QO2-to-VO2 matching and O2 extraction in these muscles.
HCP increases HCO3− and thus might delay fatigue by increasing the extracellular buffer capacity, which might improve exercise performance [11,12,13]. Additionally, as slight increases in PCO2 might be associated with increased cerebral blood flow (CBF) in humans [14,15], and diminished CBF during exercise or physical activity results in a reduced motor drive to working muscles, consequently negatively affecting the tolerance to whole-body exercise and possibly performance [16,17]. Thus, the increased levels of PCO2 as result of HCP ingestion might further influence anaerobic exercise performance.
Thus, it was hypothesized that the administration of H2 might (i) impact the muscle spatial heterogeneity responses and blood gas profile and (ii) exert ergogenic effects on power output and performance during HIIT exercise. To test this hypothesis, the present study was conducted to determine whether HCP supplement causes different responses to muscle deoxy[Hb + Mb] and the responses of blood gas values at rest, during anaerobic HIIT exercise, and recovery compared to a placebo supplement.
2. Materials and Methods
2.1. Subjects
Ten healthy males with no pre-existing or contradicting medical conditions or metabolic abnormalities participated. All were active members of the same university-affiliated track and field team (mean ± SD; age 20 ± 1 years; body weight 66.9 ± 5.9 kg; and height 172.4 ± 7.2 cm). All subjects are members of college athletic team and had been training for 100 m event for ≥5 years and averaged their 100 m race-record is 11.12 ± 0.38 s. Written informed consent was obtained from all subjects after a detailed explanation of the purpose of the study, procedures, possible risks, and benefits of participation. The study conformed to the Declaration of Helsinki, and the ethical committee of Doshisha University approved all the study procedures (No. 18012).
2.2. Supplements
Using a crossover double-blind design, the subjects were examined twice and given a single dose of four capsules of either an H2-rich calcium powder (HCP) supplement (ENAGEGATE, Tokyo, Japan) or calcium powder as a placebo (ENAGEGATE) 1 h before the experiment (Figure 1A). The HCP and placebo capsules were identical, and each capsule contained approx. 375 mg of either HCP or only calcium powder for the placebo. The amount of hydrogen in each HCP capsule was 0.636 µg, providing 2.544 µg as the total dose of H2.
2.3. Experimental Overview
Following our previous study’s protocol [7], the subjects were familiarized with all measurement techniques, and a familiarization test was conducted a few weeks prior to the start of the experiments; the testing sessions were separated by a 1- to 2-week washout period. All sessions were completed in Doshisha University in a custom-made environmental chamber (model LP-2.5PH-SS, NK Systems, Osaka, Japan) maintained at a temperature of 25 °C and 50% relative humidity.
In the 24 h prior to the testing session, the consumption of alcohol and caffeine was prohibited, and if exercise or training was carried out by the subject, the intensity, the timing, and duration were matched for both sessions. The subjects were also instructed to record and replicate their dietary intake for dinner the previous night and for breakfast, which was consumed at home ≥ 6 h prior to the start of the session. The experimental procedure was carried out 3 h postprandial following a standardized meal for all subjects, which consisted of a small meal replacement bar (Calorie Mate block plain, four blocks, Otsuka Pharmaceutical, Tokyo, Japan) and one bottle of caffeine-free barley tea (Healthy Mineral Barley Tea, 600 mL, ITO EN, Tokyo, Japan).
2.4. Exercise Test
The subjects performed a high-intensity intermittent training (HIIT) exercise protocol using a cycle ergometer (Fujin-raijin, OCL, Tokyo, Japan). After 3 min of rest, the subject performed a 5 min warm-up exercise at a workload of 60 W. They then performed all-out pedaling for 7 s at a load of 7.5% of body weight (BWT). After 5 min of rest, the subject then performed six repetitions of the 7 s all-out pedaling at 7.5% BWT separated by 40 s intervals of pedaling at a workload of 60 W (i.e., the HIIT protocol). This protocol was adapted to repeatedly stress the phosphocreatine (PCr)/ATP system [18] and to target the recruitment of fast-twitch-dependent muscle, which is greater in short duration sprints [19]. A post-HIIT cool-down exercise was performed at a workload of 40 W for 5 min. The recovery period was maintained for 10 min in a passive resting state (Figure 1). The observed mean heart rate (HR) reached approx. 80% of the age-predicted maximum HR even during this HIIT protocol (Figure 1B).
2.5. Blood Sampling
A 1 mL blood sample was collected from each subject at rest through a peripheral venous catheter placed in the subject’s forearm, allowing for free movement of the elbow and hands during the experiment. The sample was then analyzed for blood gas, electrolytes, and the metabolic profile with a portable blood analysis system (epoc®, Siemens Healthcare, Tokyo, Japan), which provided the measurements of the acid status of pH, the partial pressure of O2 (PO2), the partial pressure of CO2 (PCO2), and the values of bicarbonate (HCO3−), base excess of the extracellular fluid (BE(ecf)), base excess in the blood (BE(b)), hemoglobin (Hgb), and hematocrit (Hct). The metabolic status of lactate (Lac), glucose (Glu), creatinine (Crea), and serum electrolytes including the sodium (Na+), potassium (K+), chloride (Cl−) concentrations, and the Aniongap (AGap) and Aniongap with potassium (AGapK) were also measured for all subjects.
2.6. Measurements
Each subject’s HR was measured by a chest-strapped Polar H10 HR monitor (Polar Electro Oy, Kempele, Finland). The absolute values of oxygenated (oxy[Hb + Mb]), deoxygenated (deoxy[Hb + Mb]), and the total hemoglobin and myoglobin concentration (total[Hb + Mb]) were sampled from the vastus lateralis (VL) and rectus femoris (RF) muscles of the subject’s right leg by a time-resolved near-infrared spectroscopy (TR-NIRS) system (C12707, Hamamatsu Photonics, Hamamatsu, Japan). The TR-NIRS optodes were kept in place using an elastic flexible black thigh sleeve that prevented light penetration to the optodes and ensured that their positions were fixed during the experiment protocol without compromising the subjects’ free movements. The TR-NIRS optodes for each subject were repositioned in the same location for all testing sessions. The TR-NIRS data were corrected for adipose tissue thickness (ATT) with the use of the Bowen et al. (2013) method [20]. The ATT was measured using a B-mode ultrasound system (Aixplorer Multiwave™, Supersonic Imagine, Aix-en-Provence, France). The tissue O2 saturation (StO2) was calculated using oxy[Hb + Mb]/total[Hb + Mb]; for full details, see Alharbi et al. [7].
The TR-NIRS and HR results were calculated as the mean value for 30 s at sampling points, including rest and the recovery periods at the 1st min (Rec.1), 3rd min (Rec.3), 5th min (Rec.5), 7th min (Rec.7), and 10th min (Rec.10) (Figure 1). The peak values for the TR-NIRS deoxy[Hb + Mb], total[Hb + Mb], HR, and peak power output (PP) were determined as the highest detected value during the 7 s all-out bout for each set (Peak.1~6). The StO2 was determined as the lowest detected value during the 7 s all-out bout.
2.7. Statistical Analysis
All data are expressed as the mean ± standard deviation (SD) and were analyzed using the statistical package IBM SPSS, PC program, ver. 28.0 (IBM, Tokyo, Japan). Normality was tested using the Shapiro–Wilk test. The results of these tests indicate that the data did not show evidence of non-normality. Mean values of parameters between the HCP and placebo supplement groups at rest and the mean values across the six peaks of HIIT exercise were compared using a paired t-test. A two-way analysis of variance (ANOVA) for repeated measurers was employed to identify the significance of differences in variables between the HCP and placebo supplement groups at the sampling points. A post hoc Bonferroni test was implemented when a significant F-value was noted. Probability (p)-values < 0.05 were considered significant. Associated metrics of effect size, Cohen’s d for paired t-tests (d) and partial eta squared (η2) within repeated measures ANOVA were calculated. Cohen’s d effect sizes can be interpreted as: ≥0.20 (small), ≥0.50 (medium), and ≥0.80 (large) and partial eta squared (η2) effect sizes can be interpreted as: ≥ 0.01(small), ≥0.06 (medium), ≥0.14 (large) [21]. Pearson’s correlation coefficient (r) for liner relationship correlation graphs were also calculated and can be interpreted as: ≥0.20 (weak), ≥0.40 (moderate), ≥0.70 (strong), ≥0.90 (very strong) [22,23].
3. Results
3.1. At Rest
The mean values of acid-base, TR-NIRS, and HR profiles are presented in Table 1. The blood gas status values in the HCP group showed the following significant differences from the placebo group: Lower PO2 (HCP: 31.3 ± 5.9 vs. placebo: 41.3 ± 8.7 mmHg, t(6) = −2.860, p = 0.029, d = 1.081), higher PCO2 (55.0 ± 4.7 vs. 50.7 ± 5.0 mmHg, t(6) = 3.606, p = 0.011, d = 1.363) and HCO3− (30.5 ± 1.6 vs. 29.2 ± 1.7 mmol∙L−1, t(6) = 4.156, p = 0.006, d = 1.571), and significantly lower SO2%, higher BE and Hgb (all values, p < 0.05). Although the pH was slightly lower in the HCP group at 7.354 ± 0.021 (placebo: 7.369 ± 0.018), the difference was not significant; however, a large effect size was present (t(6) = −2.331, p = 0.059, d = 0.881). The metabolic profiles of Lac, Glu, and electrolytes were within the standard ranges at rest with no significant difference between the HCP and placebo groups. The at-rest TR-NIRS profiles of the RF and VL muscles and HR also showed no significant between-group difference.
Table 1.
HCP | Placebo | p Value | Effect Size a | |
---|---|---|---|---|
Blood gas | ||||
pH | 7.354 ± 0.021 | 7.369 ± 0.018 | 0.059 | 0.881 |
PO2 (mmHg) | 31.3 ± 5.9 | 41.3 ± 8.7 | 0.029 * | 1.081 |
PCO2 (mmHg) | 55.0 ± 4.7 | 50.7 ± 5.0 | 0.011 † | 1.363 |
HCO3− (mmol∙L−1) | 30.5 ± 1.6 | 29.2 ± 1.7 | 0.006 † | 1.571 |
SO2 (%) | 54.5 ± 13.4 | 71.7 ± 12.6 | 0.022 * | 1.158 |
BE(ecf) (mmol∙L−1) | 5.0 ± 1.5 | 3.8 ± 1.4 | 0.006 † | 1.555 |
BE(b) (mmol∙L−1) | 3.2 ± 1.1 | 2.6 ± 0.9 | 0.034 * | 1.034 |
TCO2 (mmol∙L−1) | 32.3 ± 1.7 | 30.7 ± 1.8 | 0.004 † | 1.699 |
Hct (%) | 50 ± 4 | 48 ± 4 | 0.052 | 0.915 |
Hgb (g∙dL−1) | 17.0 ± 1.4 | 16.2 ± 1.5 | 0.033 * | 1.038 |
Electrolytes | ||||
Na (mmol∙L−1) | 141 ± 1 | 141 ± 1 | 1.000 | 0.000 |
K (mmol∙L−1) | 4.6 ± 0.4 | 4.6 ± 0.9 | 1.000 | 0.000 |
Ca (mmol∙L−1) | 1.30 ± 0.03 | 1.28 ± 0.05 | 0.119 | 0.688 |
Cl (mmol∙L−1) | 103 ± 1 | 103 ± 2 | 0.078 | 0.802 |
AGap (mmol∙L−1) | 8 ± 1 | 9 ± 2 | 0.253 | 0.477 |
AGapK (mmol∙L−1) | 13 ± 1 | 13 ± 1 | 0.289 | 0.439 |
Metabolic status | ||||
Lactate (mmol∙L−1) | 0.95 ± 0.18 | 1.03 ± 0.27 | 0.388 | 0.351 |
Glucose (mg∙dL−1) | 92 ± 6 | 94 ± 9 | 0.512 | 0.264 |
Creatinine (mg∙dL−1) | 0.94 ± 0.03 | 0.93 ± 0.05 | 0.488 | 0.279 |
TR-NIRS in the RF | ||||
Total[Hb + Mb] (µM) | 172 ± 23 | 173 ± 25 | 0.805 | 0.080 |
Deoxy[Hb + Mb] (µM) | 77 ± 12 | 77 ± 13 | 0.913 | 0.036 |
StO2 (%) | 55 ± 4 | 55 ± 4 | 0.987 | 0.005 |
TR-NIRS in the VL | ||||
Total[Hb + Mb] (µM) | 185 ± 15 | 194 ± 16 | 0.084 | 0.613 |
Deoxy[Hb + Mb] (µM) | 47 ± 8 | 47 ± 7 | 0.925 | 0.031 |
StO2 (%) | 75 ± 3 | 76 ± 4 | 0.445 | 0.253 |
Heart Rate (beats·min−1) | 69 ± 9 | 69 ± 7 | 0.912 | 0.036 |
Data are shown as mean ± standard deviation (SD). Significant difference between HCP and Placebo (* p ˂ 0.05, † p ˂ 0.01). a Effect size (Cohen’s d): ≥0.20 small effect, ≥0.50 medium effect, ≥0.80 large effect.
3.2. HR Response during HIIT Protocol and Recovery
The HR response from rest to recovery and the peak values adapted in proportion to the changes in the work rate (time effect: F(11, 99) = 625.470, p ˂ 0.001, η2 = 0.986) and showed no significant difference between the HCP and placebo groups during the HIIT protocol, as illustrated in Figure 2.
3.3. TR-NIRS Profiles of the RF and VL Responses during the HIIT and Recovery
Overall, there were no significant differences between the HCP and placebo groups from rest to recovery in the RF and VL muscles’ deoxy[Hb + Mb], total[Hb + Mb], and StO2 (all interactions: p > 0.05, Figure 3).
Table 2 presents the mean peak values of TR-NIRS profiles in the RF and VL muscles between HCP and placebo across the six peaks (mean peak.1~6) of the HIIT exercise. In the RF, the mean peak deoxy[Hb + Mb] and StO2 values showed no significant difference between the groups. However, the total[Hb + Mb] was significantly higher with HCP than placebo (HCP: 183 ± 1 vs. Placebo: 181 ± 1 μM, t(5) = 2.973, p = 0.031, d = 1.214). In the VL muscle, the mean peak values of deoxy[Hb + Mb] displayed a significant difference of approx. 4 μM in deoxy[Hb + Mb] with HCP compared to placebo (HCP: 60 ± 3 μM vs. Placebo: 56 ± 3 μM, t(5) = 3.438, p = 0.018, d = 1.404), which demonstrated a possibly greater O2 extraction at peaks during the HIIT exercise in the VL muscle. However, no significant difference was observed in the VL muscle, with similar mean peak values of total[Hb + Mb] and StO2 between HCP and placebo groups.
Table 2.
HCP | Placebo | p Value | Effect Size a | |
---|---|---|---|---|
TR-NIRS in the RF | ||||
Total[Hb + Mb] (µM) | 183 ± 1 | 181 ± 1 | 0.031 * | 1.214 |
Deoxy[Hb + Mb] (µM) | 104 ± 3 | 102 ± 2 | 0.092 | 0.851 |
StO2 (%) | 43 ± 1 | 43 ± 1 | 0.272 | 0.504 |
TR-NIRS in the VL | ||||
Total[Hb + Mb] (µM) | 200 ± 2 | 198 ± 1 | 0.054 | 1.021 |
Deoxy[Hb + Mb] (µM) | 60 ± 3 | 56 ± 3 | 0.018 * | 1.404 |
StO2 (%) | 70 ± 1 | 71 ± 1 | 0.115 | 0.778 |
Data are shown as mean ± standard deviation (SD). Significant difference between HCP and Placebo (* p ˂ 0.05). a Effect size (Cohen’s d): ≥0.20 small effect, ≥0.50 medium effect, ≥0.80 large effect.
During the subjects’ recovery, in both the RF and VL muscles, despite the lack of a significant difference between the supplement groups, it was observed that deoxy[Hb + Mb] decreased and StO2 increased substantially during recovery compared to the baseline at rest values before the HIIT protocol. In the comparison between Rest and Rec10 in the RF muscle, the deoxy[Hb + Mb] following HIIT protocol was significantly lower at 24 ± 9 μM, and its decrease was approx. 30% (time effect: F(11, 99) = 66.131, p ˂ 0.001, η2 = 0.880, Figure 3A). Similarly, the StO2 for both groups was 13 ± 5% and thus significantly promoted at Rec10 (corresponding to a 23% increase from rest) compared to the rest value (time effect: F(11, 99) = 138.472, p ˂ 0.001, η2 = 0.939, Figure 3C).
The VL muscle demonstrated a significantly remarkable decrease in deoxy[Hb + Mb] of 25 ± 7 μM at Rec10, and the percentage of change from rest to final recovery (at Rec.10) was an approx. 53% decrease with deoxy[Hb + Mb] (time effect: F(11, 99) = 76.271, p ˂ 0.001, η2 = 0.894, Figure 3D). Moreover, the StO2 for the VL muscle in both groups was 13 ± 4%, which is significantly increased (corresponding to a 17% increase from rest) (time effect: F(11, 99) = 106.156, p ˂ 0.001, η2 = 0.922, Figure 3F).
3.4. Peak Power during HIIT
The peak power (PP) showed a significant difference between the HCP and placebo groups (interaction effect: F(5, 45) = 3.560, p = 0.009, η2 = 0.283). The PP increased significantly in the first bout with HCP compared to the placebo, 839 ± 112 W vs. 816 ± 108 W, p = 0.001. However, no significant difference was observed after that from bouts 2 to 6 (Figure 4).
3.5. The Relationship between ΔPCO2, ΔHCO3− and ΔPP
During the HIIT protocol, a significant increase in the PP in the HCP group compared to the placebo group was observed at the 1st bout. When further examining the relationship between blood gas at rest and the PP at the 1st bout (Figure 5) a significant correlation was noted between the changes in PP at the first bout (ΔPP (HCP-Placebo)), changes in HCO3− at rest (ΔHCO3− (HCP-Placebo)) (Figure 5A), and changes in PCO2 at rest (ΔPCO2 (HCP-Placebo)) (Figure 5B). Higher changes in HCO3− and PCO2 at rest were significantly associated with a greater PP reduction (r = 0.771, p = 0.042 and r = 0.809, p = 0.027), respectively, and the changes in pH at rest were mainly sensitive to the changes in PCO2 (r = 0.907, p = 0.004) (Figure 5C).
4. Discussion
This research examined the effects of the consumption of a single dose of H2 in the form of HCP on healthy subjects’ rest, HIIT performance, and recovery. The results of analyses showed that this dose of HCP significantly increased PCO2 and HCO3− and showed a slight tendency toward acidosis at rest (i.e., a slightly but not significantly lowered pH). In the HCP group, the increased HCO3− was also reflected in the significantly increased BE, and the tendency toward acidosis in pH as a result of the increased PCO2 could be additionally augmented as an effect of HCP’s antioxidant properties and the suppression of reactive oxygen species (ROS), as a reduced ventilatory sensitivity to hypercapnia following antioxidant administration has been observed in several studies [7,24,25]. However, further examination of the direct effect of HCP on ROS is needed.
HCP also had no effect on the RF and VL muscles’ oxygenation status at rest. Comparably, in our previous work [7] when examining the intake of the same dose of HCP (1500 mg) for 3 consecutive days, a slight respiratory acidosis was detected at rest. Reduced rates of ventilation and muscle deoxygenation at rest in the RF muscle were also observed. However, the lack of an effect on the skeletal muscle oxygenation status in the RF and VL muscles in the present study can be attributed to the single dose of HCP and/or possibly the shorter period of ingestion and exposure to changes in PCO2 and PO2 at rest.
It is possible that the significant increase in PCO2 at rest is associated with increased cerebral blood flow (CBF), with hypercapnia resulting in dilatation of the cerebral vasculature as PCO2, independently and in conjunction with pH, regulates the CBF [14,15]. Regarding the relationship between CBF and exercise performance, it has been documented that a reduced CBF results in a reduced motor drive to working muscles, consequently reducing the tolerance to whole-body exercise and possibly performance [16,17]. The CO2-induced CBF might thus have contributed to the change in the 1st PP performance. However, considering the effect of the HCP supplement on the averaged PP performance up to six exercise repetitions, the PCO2-induced increase in CBF with the intake of HCP did not have an ergogenic effect on repeated HIIT, as the PCO2 effects on CBF during exercise might be affected by the severity of hypoxia and the intensity and duration of exercise [26,27,28]. In addition, the significantly increased HCO3− at rest that was observed in the present study might have further positive effects on the PP by increasing the extracellular buffer capacity, facilitating H+ as well as lactate–ion efflux from muscles and delaying muscle fatigue during high-intensity muscle contractions [11,12,13].
As is clear from Figure 5A,B, the relationship between ΔPCO2 (HCP-Placebo), ΔHCO3− (HCP-Placebo) and ΔPP(HCP-Placebo) is negatively correlated, with HCP improving the PP correlated to changes of approx. 2 mmHg for PCO2 and 1.0 mmol∙L−1 for HCO3−. Thus, the HCP supplement contributed to the improvement of the subjects’ HIIT performance through slight increases in PCO2 and HCO3−. Consequently, the HCP supplement resulting in this unique balance among pH, PCO2, and HCO3− in the present experiment might have exerted a short ergogenic effect on the PP at the first bout at the beginning of the exercise protocol (Figure 4). However, more precise examinations of these factors are necessary to test these conjectures.
With the use of TR-NIRS during HIIT, it was observed that the mean peak values across the six peaks in the RF muscle’s total[Hb + Mb] and the VL muscle’s deoxy[Hb + Mb] were significantly higher in the HCP group compared to the placebo group. The increased deoxy[Hb + Mb] might suggest impairments in the matching of QO2-to-VO2 induced by the HCP, resulting in higher fractional O2 extractions during the peak power exertion during HIIT in order to meet muscle demands, especially in the VL muscle [7]. By contrast, the greater total[Hb + Mb] in the RF muscle was associated with an increased microvascular [Hb] volume [29].
Regarding muscle deoxygenation in the both RF and VL muscles, it was noted that during the subjects’ recovery the deoxy[Hb + Mb] decreased and the StO2 increased substantially compared to the baseline at-rest values with the prescribed HIIT protocol, despite the lack of a significant difference between the HCP and placebo supplement groups. In the comparison between Rest and Rec10, the deoxy[Hb + Mb] value following HIIT exercise was significantly lower by 24 ± 9 μM (~30% decrease) in the RF and by 25 ± 7 μM (~53% decrease) in the VL. Similarly, the StO2 for both supplement groups was promoted at 10 min (Rec10) of passive recovery by 13 ± 5% (~23% increase) in the RF and 13 ± 4% (~17% increase) in the VL (Figure 3). These results demonstrated an abrupt increase in the regional muscle blood flow that was reflected by the tissue oxygen saturation exceeding the resting levels after the HIIT.
As there is a notable difference in the rate of oxygenation among muscle sites during recovery, it has been suggested that differences between the VL and RF muscles may originate, in part, from higher muscle blood flow [30,31,32] and a greater proportion of more highly oxidative type I fibers in the VL muscle [33]. Additionally, judging by the continuing changes observed in the deoxy[Hb + Mb] and StO2 values form Rec.1 to Rec.10, it can be assumed that a further increase in the reoxygenation of the RF and VL muscles would be present after the 10 min of passive recovery in this study.
The first observations regarding muscle deoxygenation kinetics suggested that the HIIT protocol has the advantages of improving the local blood flow and oxygen supply into the working skeletal muscles. Muscle gas exchange is facilitated when the functional cross-sectional area of capillaries is increased, as the vasodilation of small arterioles enhances the functional capillary density (increased number of perfused capillaries), which shortens the diffusion distance for oxygen and other substrates from and to the muscles [34,35]. Moreover, greater local muscle perfusion is associated with enhanced oxidative metabolism, such as fatty acid oxidation [35]. The HIIT protocol employed in the experiment might therefore prove to be a quite advantageous tool in training and improving subsequently exercise performance.
Some study limitations must be considered when interpreting the present results, including the small number of available investigations of hydrogen’s effects prior to and during exercise in healthy subjects. There have been few investigations of the effects and mechanisms of a unique method of delivering H2 (such as HCP supplementation), and further research is needed to better comprehend the working conditions and limitations of HCP. In addition, this study did not measure the ventilatory response or provide ROS value changes, and these variables might have provided a better understating of the acute effects of HCP intake during rest and exercise. Finally, as a large individual variation occurs in HCP experiments affecting the acid-base balance, further examinations of the optimal dosage and intake protocols should be considered. However, these limitations do not negate the important findings of this study.
5. Conclusions
The results of this study demonstrated that the ingestion of an H2-rich calcium powder supplement increased the subjects’ PCO2 and HCO3− concentrations at rest and improved the peak power in the 1st bout of the HIIT protocol. The HCP had no notable effect on the subjects’ heart rate or muscle O2 at rest or recovery; however, the HCP group did exhibit significantly greater O2 extraction and microvascular [Hb] volume in their working muscles during the HIIT exercise. The HIIT protocol resulted in improved muscle reoxygenation and may have improved the local muscle perfusion during recovery compared to rest.
These findings suggest that the use of an HCP supplement might produce ergogenic effects on high-intensity exercise and prove advantageous for improving anaerobic HIIT exercise performance.
Acknowledgments
The authors would like to thank all the subjects who volunteered for this study.
Author Contributions
A.A.D.A. and N.E. were responsible for the design and conception of the work. A.A.D.A., N.I., T.H., S.N. and Y.F. were responsible for the data acquisition and analysis, and all authors were responsible for the interpretation of the data. T.H., as a clinician, managed the subjects’ condition before and after they took the supplement. A.A.D.A., N.E. and Y.F. drafted the work and all authors revised it critically for important intellectual content. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki, and approved by the ethics committee of Doshisha University (No. 18012 of approval).
Informed Consent Statement
Written informed consent was obtained from all subjects after a detailed explanation of the purpose of the study, procedures, possible risks, and benefits of participation.
Conflicts of Interest
Author NE has received research grant from Company ENAGEGATE Inc. Additionally, ENAGEGATE Inc. provided both the HCP supplements and a placebo used in this study. However, this company had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Funding Statement
Support for this study was provided by The Japan Society for the Promotion of Science, and the Ministry of Education, Science, and Culture of Japan (No. 18K10909 NE, No. 19H04022 to YF).
Footnotes
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References
- 1.Huang C.S., Kawamura T., Toyoda Y., Nakao A. Recent advances in hydrogen research as a therapeutic medical gas. Free Radic. Res. 2010;44:971–982. doi: 10.3109/10715762.2010.500328. [DOI] [PubMed] [Google Scholar]
- 2.Tian Y., Zhang Y., Wang Y., Chen Y., Fan W., Zhou J., Qiao J., Wei Y. Hydrogen, a novel therapeutic molecule, regulates oxidative stress, inflammation, and apoptosis. Front. Physiol. 2021;12:789507. doi: 10.3389/fphys.2021.789507. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Ohsawa I., Ishikawa M., Takahashi K., Watanabe M., Nishimaki K., Yamagata K., Katsura K., Katayama Y., Asoh S., Ohta S. Hydrogen acts as a therapeutic antioxidant by selectively reducing cytotoxic oxygen radicals. Nat. Med. 2007;13:688–694. doi: 10.1038/nm1577. [DOI] [PubMed] [Google Scholar]
- 4.Kawamura T., Higashida K., Muraoka I. Application of molecular hydrogen as a novel antioxidant in sports science. Oxid. Med. Cell. Longev. 2020;2020:2328768. doi: 10.1155/2020/2328768. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Ohta S. Molecular hydrogen as a preventive and therapeutic medical gas: Initiation, development and potential of hydrogen medicine. Pharmacol. Ther. 2014;144:1–11. doi: 10.1016/j.pharmthera.2014.04.006. [DOI] [PubMed] [Google Scholar]
- 6.Ostojic S.M. Molecular hydrogen in sports medicine: New therapeutic perspectives. Int. J. Sports Med. 2014;36:273–279. doi: 10.1055/s-0034-1395509. [DOI] [PubMed] [Google Scholar]
- 7.Alharbi A.A.D., Ebine N., Nakae S., Hojo T., Fukuoka Y. Application of molecular hydrogen as an antioxidant in responses to ventilatory and ergogenic adjustments during incremental exercise in humans. Nutrients. 2021;13:459. doi: 10.3390/nu13020459. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Chin L.M., Kowalchuk J.M., Barstow T.J., Kondo N., Amano T., Shiojiri T., Koga S. The relationship between muscle deoxygenation and activation in different muscles of the quadriceps during cycle ramp exercise. J. Appl. Physiol. 2011;111:1259–1265. doi: 10.1152/japplphysiol.01216.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Okushima D., Poole D.C., Rossiter H.B., Barstow T.J., Kondo N., Ohmae E., Koga S. Muscle deoxygenation in the quadriceps during ramp incremental cycling: Deep vs. superficial heterogeneity. J. Appl. Physiol. 2015;119:1313–1319. doi: 10.1152/japplphysiol.00574.2015. [DOI] [PubMed] [Google Scholar]
- 10.Iannetta D., Qahtani A., Millet G.Y., Murias J.M. Quadriceps muscles O2 extraction and EMG breakpoints during a ramp incremental test. Front. Physiol. 2017;8:686. doi: 10.3389/fphys.2017.00686. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Dalle S., Koppo K., Hespel P. Sodium bicarbonate improves sprint performance in endurance cycling. J. Sci. Med. Sport. 2021;24:301–306. doi: 10.1016/j.jsams.2020.09.011. [DOI] [PubMed] [Google Scholar]
- 12.Calvo J.L., Xu H., Mon-López D., Pareja-Galeano H., Jiménez S.L. Effect of sodium bicarbonate contribution on energy metabolism during exercise: A systematic review and meta-analysis. J. Int. Soc. Sports Nutr. 2021;18:11. doi: 10.1186/s12970-021-00410-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Wang J., Qiu J., Yi L., Hou Z., Benardot D., Cao W. Effect of sodium bicarbonate ingestion during 6 weeks of HIIT on anaerobic performance of college students. J. Int. Soc. Sports Nutr. 2019;16:18. doi: 10.1186/s12970-019-0285-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Yoon S., Zuccarello M., Rapoport R.M. PCO2 and pH regulation of cerebral blood flow. Front. Physiol. 2012;3:365. doi: 10.3389/fphys.2012.00365. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Smith K.J., Ainslie P.N. Regulation of cerebral blood flow and metabolism during exercise. Exp. Physiol. 2017;102:1356–1371. doi: 10.1113/EP086249. [DOI] [PubMed] [Google Scholar]
- 16.Kim Y.S., Seifert T., Brassard P., Rasmussen P., Vaag A., Nielsen H.B., Secher N.H., Van Lieshout J.J. Impaired cerebral blood flow and oxygenation during exercise in type 2 diabetic patients. Physiol. Rep. 2015;3:e12430. doi: 10.14814/phy2.12430. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Marillier M., Gruet M., Bernard A.C., Verges S., Neder J.A. The exercising brain: An overlooked factor limiting the tolerance to physical exertion in major cardiorespiratory diseases? Front. Hum. Neurosci. 2022;15:789053. doi: 10.3389/fnhum.2021.789053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Lee C.L., Lin J.C., Cheng C.F. Effect of caffeine ingestion after creatine supplementation on intermittent high-intensity sprint performance. Eur. J. Appl. Physiol. 2011;111:1669–1677. doi: 10.1007/s00421-010-1792-0. [DOI] [PubMed] [Google Scholar]
- 19.Wylie L.J., Bailey S.J., Kelly J., Blackwell J.R., Vanhatalo A., Jones A.M. Influence of beetroot juice supplementation on intermittent exercise performance. Eur. J. Appl. Physiol. 2016;116:415–425. doi: 10.1007/s00421-015-3296-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Bowen T.S., Rossiter H.B., Benson A.P., Amano T., Kondo N., Kowalchuk J.M., Koga S. Slowed oxygen uptake kinetics in hypoxia correlate with the transient peak and reduced spatial distribution of absolute skeletal muscle deoxygenation. Exp. Physiol. 2013;98:1585–1596. doi: 10.1113/expphysiol.2013.073270. [DOI] [PubMed] [Google Scholar]
- 21.Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. Lawrence Erlbaum; New York, NY, USA: 1988. [Google Scholar]
- 22.Rowntree D. Statistics without Tears: A Primer for Non-Mathematicians. Charles Scribner’s Sons; New York, NY, USA: 1981. [Google Scholar]
- 23.Overholser B.R., Sowinski K.M. Biostatistics Primer: Part 2. Nutr. Clin. Pract. 2008;23:76–84. doi: 10.1177/011542650802300176. [DOI] [PubMed] [Google Scholar]
- 24.Lee D.S., Badr M.S., Mateika J.H. Progressive argumentation and ventilatory long-term facilitation are enhanced in sleep apnea patients and are mitigated by antioxidant administration. J. Physiol. 2009;587:5451–5467. doi: 10.1113/jphysiol.2009.178053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Mateika J.H., Narwani G. Intermittent hypoxia and respiratory plasticity in humans and other animals: Does exposure to intermittent hypoxia promote or mitigate sleep apnea? Exp. Physiol. 2009;94:279–296. doi: 10.1113/expphysiol.2008.045153. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Fan J.L., Kayser B. The effect of adding CO2 to hypoxic inspired gas on cerebral blood flow velocity and breathing during incremental exercise. PLoS ONE. 2013;8:e81130. doi: 10.1371/journal.pone.0081130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Smith K.J., Wong L.E., Eves N.D., Koelwyn G.J., Smirl J.D., Willie C.K., Ainslie P.N. Regional cerebral blood flow distribution during exercise: Influence of oxygen. Respir. Physiol. Neurobiol. 2012;184:97–105. doi: 10.1016/j.resp.2012.07.014. [DOI] [PubMed] [Google Scholar]
- 28.Subudhi A.W., Lorenz M.C., Fulco C.S., Roach R.C. Cerebrovascular responses to incremental exercise during hypobaric hypoxia: Effect of oxygenation on maximal performance. Am. J. Physiol. Heart Circ. Physiol. 2008;94:164–171. doi: 10.1152/ajpheart.01104.2007. [DOI] [PubMed] [Google Scholar]
- 29.Fukuoka Y., Poole D.C., Barstow T.J., Kondo N., Nishiwaki M., Okushima D., Koga S. Reduction of VO2 slow component by priming exercise: Novel mechanistic insights from time-resolved near-infrared spectroscopy. Physiol. Rep. 2015;3:e12432. doi: 10.14814/phy2.12432. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Heinonen I., Kemppainen J., Kaskinoro K., Peltonen J.E., Borra R., Lindroos M.M., Oikonen V., Nuutila P., Knuuti J., Hellsten Y., et al. Comparison of exogenous adenosine and voluntary exercise on human skeletal muscle perfusion and perfusion heterogeneity. J. Appl. Physiol. 2010;108:378–386. doi: 10.1152/japplphysiol.00745.2009. [DOI] [PubMed] [Google Scholar]
- 31.Kalliokoski K.K., Kemppainen J., Larmola K., Takala T.O., Peltoniemi P., Oksanen A., Ruotsalainen U., Cobelli C., Knuuti J., Nuutila P. Muscle blood flow and flow heterogeneity during exercise studied with positron emission tomography in humans. Eur. J. Appl. Physiol. 2000;83:395–401. doi: 10.1007/s004210000267. [DOI] [PubMed] [Google Scholar]
- 32.Kalliokoski K.K., Laaksonen M.S., Takala T.O., Knuuti J., Nuutila P. Muscle oxygen extraction and perfusion heterogeneity during continuous and intermittent static exercise. J. Appl. Physiol. 2003;94:953–958. doi: 10.1152/japplphysiol.00731.2002. [DOI] [PubMed] [Google Scholar]
- 33.Lexell J., Henriksson-Larsén K., Sjöström M. Distribution of different fibre types in human skeletal muscles. 2. A study of cross-sections of whole m. vastus lateralis. Acta Physiol. Scand. 1983;117:115–122. doi: 10.1111/j.1748-1716.1983.tb07185.x. [DOI] [PubMed] [Google Scholar]
- 34.Korthuis R.J. Skeletal Muscle Circulation. Volume 4. Morgan & Claypool Life Sciences; San Rafael, CA, USA: 2011. p. 49. [PubMed] [Google Scholar]
- 35.Stöcker F., Von Oldershausen C., Paternoster F.K., Schulz T., Oberhoffer R. Relationship of post-exercise muscle oxygenation and duration of cycling exercise. BMC Sports Sci. Med. Rehabil. 2016;14:9. doi: 10.1186/s13102-016-0036-y. [DOI] [PMC free article] [PubMed] [Google Scholar]