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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nutr.</journal-id>
<journal-title>Frontiers in Nutrition</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nutr.</abbrev-journal-title>
<issn pub-type="epub">2296-861X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnut.2023.1094767</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Nutrition</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Effects of molecular hydrogen supplementation on fatigue and aerobic capacity in healthy adults: A systematic review and meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Zhou</surname> <given-names>Kaixiang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1619747/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Meng</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1608896/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Yubo</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1722637/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Haoyang</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1885875/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Manor</surname> <given-names>Brad</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Bao</surname> <given-names>Dapeng</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1057205/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Zhang</surname> <given-names>Luyu</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2016593/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhou</surname> <given-names>Junhong</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/458968/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>College of Sports and Health, Chengdu University of Traditional Chinese Medicine, Chengdu</institution>, <addr-line>Sichuan</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Sports Coaching College, Beijing Sport University</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>China Institute of Sport and Health Science, Beijing Sport University</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Hebrew SeniorLife Hinda and Arthur Marcus Institute for Aging Research, Harvard Medical School</institution>, <addr-line>Boston, MA</addr-line>, <country>United States</country></aff>
<aff id="aff5"><sup>5</sup><institution>School of Strength and Conditioning Training, Beijing Sport University</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Marcin Maciejczyk, University of Physical Education in Krakow, Poland</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Hassane Zouhal, University of Rennes 2 &#x02013; Upper Brittany, France; Takuji Kawamura, University of Physical Education (Budapest), Hungary</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Dapeng Bao &#x02709; <email>baodp&#x00040;bsu.edu.cn</email></corresp>
<corresp id="c002">Luyu Zhang &#x02709; <email>luyu_zhang&#x00040;bsu.edu.cn</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Sport and Exercise Nutrition, a section of the journal Frontiers in Nutrition</p></fn>
<fn fn-type="equal" id="fn002"><p>&#x02020;These authors have contributed equally to this work and share first authorship</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>02</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1094767</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>11</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>01</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2023 Zhou, Liu, Wang, Liu, Manor, Bao, Zhang and Zhou.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Zhou, Liu, Wang, Liu, Manor, Bao, Zhang and Zhou</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Fatigue is oftentimes induced by high-intensity exercise potentially <italic>via</italic> the exceeded amount of reactive oxygen species, leading to diminished functions (e.g., aerobic capacity) and increased risk of injuries. Studies indicate that molecular hydrogen (H<sub>2</sub>), with antioxidant and anti-inflammatory properties, may be a promising strategy to alleviate fatigue and improve aerobic capacity. However, such effects have not been comprehensively characterized.</p>
</sec>
<sec>
<title>Objective</title>
<p>To systematically assess the effects of in taking H<sub>2</sub> on fatigue and aerobic capacity in healthy adults.</p>
</sec>
<sec>
<title>Methods</title>
<p>The search was conducted in August 2022 in five databases. Studies with randomized controlled or crossover designs that investigated the rating of perceived exertion (RPE), maximal oxygen uptake (VO<sub>2max</sub>), peak oxygen uptake (VO<sub>2peak</sub>), and endurance performance were selected. The data (mean &#x000B1; standard deviation and sample size) were extracted from the included studies and were converted into the standardized mean difference (SMD). Random-effects meta-analyses were performed. Subgroup analysis was used to analyze potential sources of heterogeneity due to intervention period, training status, and type of exercise.</p>
</sec>
<sec>
<title>Results</title>
<p>Seventeen publications (19 studies) consisting of 402 participants were included. The pooled effect sizes of H<sub>2</sub> on RPE (SMD<sub>pooled</sub> = &#x02212;0.38, 95%CI &#x02212;0.65 to &#x02212;0.11, <italic>p</italic> = 0.006, <italic>I</italic><sup>2</sup> = 33.6%, <italic>p</italic> = 0.149) and blood lactate (SMD<sub>pooled</sub> = &#x02212;0.42, 95% CI &#x02212;0.72 to &#x02212;0.12, <italic>p</italic> = 0.006, <italic>I</italic><sup>2</sup> = 35.6%, <italic>p</italic> = 0.114) were small yet significant with low heterogeneity. The pooled effect sizes of H<sub>2</sub> on VO<sub>2max</sub> and VO<sub>2peak</sub> (SMD<sub>pooled</sub> = 0.09, 95% CI &#x02212;0.10 to 0.29, <italic>p</italic> = 0.333, <italic>I</italic><sup>2</sup> = 0%, <italic>p</italic> = 0.998) and endurance performance (SMD<sub>pooled</sub> = 0.01, 95% CI &#x02212;0.23 to 0.25, <italic>p</italic> = 0.946, <italic>I</italic><sup>2</sup> = 0%, <italic>p</italic> &#x0003E; 0.999) were not significant and trivial without heterogeneity. Subgroup analysis revealed that the effects of H<sub>2</sub> on fatigue were impacted significantly by the training status (i.e., untrained and trained), period of H<sub>2</sub> implementation, and exercise types (i.e., continuous and intermittent exercises).</p>
</sec>
<sec>
<title>Conclusions</title>
<p>This meta-analysis provides moderate evidence that H<sub>2</sub> supplementation alleviates fatigue but does not enhance aerobic capacity in healthy adults.</p>
</sec>
<sec>
<title>Systematic review registration</title>
<p><ext-link ext-link-type="uri" xlink:href="http://www.crd.york.ac.uk/PROSPERO/">www.crd.york.ac.uk/PROSPERO/</ext-link>, identifier: CRD42022351559.</p>
</sec>
</abstract>
<kwd-group>
<kwd>molecular hydrogen</kwd>
<kwd>fatigue</kwd>
<kwd>aerobic capacity</kwd>
<kwd>rating of perceived exertion</kwd>
<kwd>maximal oxygen uptake</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="64"/>
<page-count count="18"/>
<word-count count="7885"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1. Introduction</title>
<p>Aerobic capacity enables the performance of daily activities that require repetitive movements of the body for prolonged periods of time and/or against physical loads (e.g., exercise) (<xref ref-type="bibr" rid="B1">1</xref>). Fatigue induced by such activities is a significant contributor to reduced performance, as well as to exhaustion and weakness (<xref ref-type="bibr" rid="B2">2</xref>&#x02013;<xref ref-type="bibr" rid="B5">5</xref>). Considerable effort has therefore been taken to develop safe strategies to effectively reduce fatigue and in turn improve aerobic capacity within both the sport and non-sport setting.</p>
<p>One mechanism of fatigue development appears to be that high-intensity exercise induces high amounts of reactive oxygen species (ROS) within mitochondria, which leads to dysregulation within human inflammatory and neuroendocrinological systems (<xref ref-type="bibr" rid="B6">6</xref>&#x02013;<xref ref-type="bibr" rid="B10">10</xref>). Studies have thus emerged to implement antioxidant nutrients, such as vitamins and resveratrol, to alleviate fatigue and facilitate recovery from fatigue (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). These studies have shown promise, but have also highlighted that the appropriate dosage of these nutrients is critical and that the intake of excessive amounts may induce side effects such as oxidative stress and the inhibition of exercise-induced physiological adaptations within skeletal muscle and the cardiovascular system (<xref ref-type="bibr" rid="B12">12</xref>&#x02013;<xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>Since Ohsawa&#x00027;s pioneering discovery of the selective antioxidant function of molecular hydrogen (H<sub>2</sub>), research suggests that the intake of H<sub>2</sub> holds promise as a non-toxic strategy to alleviate exercise-induced oxidative stress and inflammation (<xref ref-type="bibr" rid="B17">17</xref>&#x02013;<xref ref-type="bibr" rid="B19">19</xref>). Studies have reported that H<sub>2</sub> molecules administered <italic>via</italic> inhaled gas or oral water, can penetrate cell membranes and diffuse rapidly into organelles (<xref ref-type="bibr" rid="B20">20</xref>), thus selectively reducing OH and ONOO<sup>&#x02212;</sup> (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). Recently, a number of relatively small studies have also demonstrated that the intake of H<sub>2</sub> <italic>via</italic> hydrogen-rich water (HRW) or hydrogen-rich gas (HRG) may reduce fatigue and enhance aerobic capacity (<xref ref-type="bibr" rid="B23">23</xref>&#x02013;<xref ref-type="bibr" rid="B27">27</xref>). However, results of these studies have been inconsistent. For example, one study observed that intake of 500 mL hydrogen-rich water within 10 min before exercise increased maximum oxygen uptake (VO<sub>2max</sub>) and reduced subjective fatigue during an incremental cycling exercise in healthy young adults (<xref ref-type="bibr" rid="B25">25</xref>). In contrast, another study reported that intake two doses of 290 mL hydrogen-rich water before an incremental treadmill running exercise could not induce such benefits in endurance athletes (<xref ref-type="bibr" rid="B28">28</xref>). These and other studies suggest that the impact of H<sub>2</sub> supplementation may depend upon dosage, as well as other factors including training status of the individual and the type of exercise in question(<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>).</p>
<p>The purpose of this study was to examine the impact of H<sub>2</sub> intake on fatigue and aerobic capacity by conducting a systematic review and meta-analysis of available peer-reviewed publications on the topic. Subgroup analyses were also completed in hopes of guiding future research by providing insight into whether dosage, training status, and exercise types potentially influences the impact of H<sub>2</sub> supplementation. Our overarching hypothesis was that H<sub>2</sub> supplementation prior to or during exercise would significantly reduce fatigue and increase aerobic capacity in healthy adults.</p>
</sec>
<sec id="s2">
<title>2. Methods</title>
<p>This study was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines (<xref ref-type="bibr" rid="B31">31</xref>). This study was registered with PROSPERO (CRD42022351559).</p>
<sec>
<title>2.1. Data sources, searches, and study selection</title>
<p>Two authors (KZ and ML) independently searched PubMed, Web of Science, Medline, Sport-Discus, and PsycINFO databases from inception to August 5, 2022, using a comprehensive search strategy (<xref ref-type="supplementary-material" rid="SM1">eTable 1</xref>). Manual searches of the reference lists in the related publications were also performed.</p>
<p>Studies were included if: (1) the participants were healthy adults with a mean age&#x02265;18 years and were free from any dietary supplements or medications; (2) the intervention was the intake of molecular hydrogen by the participants; (3) the control group with placebo; (4) the outcomes include at least one of RPE, blood lactate, VO<sub>2max</sub>, peak oxygen uptake (VO<sub>2peak</sub>), and performance of endurance exercises (i.e., cycling time to exhaustion, race time, etc.); (5) randomized controlled or crossover design.</p>
<p>Studies were excluded if they were: (1) animal trials; (2) written by non-English language, (3) without specific data; (4) review and conference articles; and (4) repeated publications.</p>
</sec>
<sec>
<title>2.2. Data extraction, outcomes, and risk of bias assessment</title>
<p>Two independent reviewers (ML and YW) extracted relevant data from each included study (<xref ref-type="bibr" rid="B32">32</xref>), including the authors, publication year, sample size, participant characteristics, H<sub>2</sub> administration protocol, design of exercise, and outcome measures. Any disagreement between the two authors was discussed with JZ and DB until a consensus was achieved.</p>
<p>The primary outcome of fatigue was the RPE score and that of aerobic capacity was VO<sub>2max</sub>, or VO<sub>2peak</sub> (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>) when VO<sub>2max</sub> was not available. The secondary outcome of fatigue was blood lactate and that of aerobic capacity was performance of endurance exercises, including cycling time to exhaustion, and race time. The mean and standard deviation of each outcome in post-tests in each study were extracted. The post-test data of outcomes in each study were summarized in <xref ref-type="supplementary-material" rid="SM1">eTable 2</xref>.</p>
<p>Two investigators (KZ and ML) independently assessed the risk of bias in the included studies using the Cochrane Collaboration&#x00027;s tool (<xref ref-type="bibr" rid="B35">35</xref>), containing the following criteria: (1) selection bias; (2) performance bias; (3) detection bias; (4) attrition bias; (5) reporting bias; (6) other sources of bias. Studies were defined as high risk of bias when &#x02265;1 of these items were with a high risk of bias, and as low risk if all these items were with low risk of bias. In other situations, it was defined as moderate risk.</p>
</sec>
<sec>
<title>2.3. Statistical analysis and grading the evidence</title>
<p>To determine the effect size (ES) of the intervention, the standardized mean difference (SMD; Hedges&#x00027; g) of the outcomes was calculated, with a 95% confidence interval (CI). ES was classified as trivial (&#x0003C;0.2), small (0.2&#x0007E;0.49), moderate (0.5&#x0007E;0.79), or large (&#x0003E;0.8) (<xref ref-type="bibr" rid="B36">36</xref>). Meta-analysis was performed in Stata v15.1 (STATA Corp., College Station, TX) using the inverse variance method. Heterogeneity was assessed by measuring the inconsistency (<italic>I</italic><sup>2</sup> statistic) of intervention effects among the trials. The level of heterogeneity was interpreted according to guidelines from the Cochrane Collaboration: trivial (&#x0003C;25%), low (25&#x0007E;50%), moderate (50&#x0007E;75%), and high (&#x0003E;75%) (<xref ref-type="bibr" rid="B37">37</xref>). A random-effects model was used to estimate the pooled effect in anticipation of heterogeneity across the studies due to differences in participants and intervention characteristics. The publication bias was assessed by the funnel plot and Egger&#x00027;s test. Subgroup analysis was used to analyze potential sources of heterogeneity due to intervention period, training status, and type of exercise. If a significant asymmetry was detected, we used the Trim and Fill method for sensitivity analysis of the results (<xref ref-type="bibr" rid="B38">38</xref>). All the statistical significance was set at <italic>p</italic> &#x0003C; 0.05.</p>
<p>Additionally, the quality of evidence for outcomes was evaluated using the Grading of Recommendations Assessment, Development and Evaluation (GRADE), which characterizes the evidence on the study limitations, imprecision, inconsistency, indirectness, and publication bias (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>).</p>
</sec>
</sec>
<sec id="s3">
<title>3. Results</title>
<p>The flow diagram of screening is shown in <xref ref-type="fig" rid="F1">Figure 1</xref>. A total of 605 relevant publications were retrieved (PubMed <italic>n</italic> = 50, Web of Science <italic>n</italic> = 305, Medline <italic>n</italic> = 210, Sport-Discus <italic>n</italic> = 36, PsycINFO <italic>n</italic> = 3, Manual search <italic>n</italic> = 1), and 577 publications were excluded after reviewing the titles and abstracts. After the evaluation of full texts, 11 of the 28 publications were removed, and thus 17 publications consisting of 19 studies (i.e., 15 randomized crossover designs and four randomized controlled trials) were included in the following analyses (<xref ref-type="table" rid="T1">Table 1</xref>). One publication (<xref ref-type="bibr" rid="B25">25</xref>) included two randomized controlled trials, and the other one (<xref ref-type="bibr" rid="B23">23</xref>) included a randomized crossover study and a randomized controlled trial.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Study flowchart.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnut-10-1094767-g0001.tif"/>
</fig>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Characteristics of the included studies (<italic>n</italic> = 19).</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="border-right: thin solid #000000;background-color:#919498;color:#ffffff">
<th valign="top" align="left"><bold>Study</bold></th>
<th valign="top" align="left"><bold>Design</bold></th>
<th valign="top" align="left"><bold>Total no. of participants</bold></th>
<th valign="top" align="left"><bold>Age, mean &#x000B1;SD, y</bold></th>
<th valign="top" align="left"><bold>No. of participants by sex (%)</bold></th>
<th valign="top" align="left"><bold>Training status</bold></th>
<th valign="top" align="left"><bold>Protocol of H<sub>2</sub> administration</bold></th>
<th valign="top" align="left"><bold>Exercise protocol</bold></th>
<th valign="top" align="left"><bold>Outcome measures</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Aoki et al. (<xref ref-type="bibr" rid="B42">42</xref>)</td>
<td valign="top" align="left">RCD</td>
<td valign="top" align="left">10</td>
<td valign="top" align="left">20.9 &#x000B1; 1.3</td>
<td valign="top" align="left">Male:10(100)<break/> Female:0(0)</td>
<td valign="top" align="left">Elite socc er players</td>
<td valign="top" align="left">HRW (H<sub>2</sub> conc.:0.92&#x0007E;1.02 ppm)<break/> Three 500 ml doses before exercise</td>
<td valign="top" align="left">Cycling for 30 min at 75 % VO<sub>2max</sub> and maximal knee extension exercise</td>
<td valign="top" align="left">Fatigue: BLA&#x02193;<break/> Others: d-ROMs &#x02192; ; BAP &#x02192; ; CK &#x02192; ; Peak torque &#x02192; ; MF&#x02193;; MPF&#x02193;</td>
</tr> <tr>
<td valign="top" align="left">Drid et al. (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="top" align="left">RCD</td>
<td valign="top" align="left">8</td>
<td valign="top" align="left">21.4 &#x000B1; 2.2</td>
<td valign="top" align="left">Male:0(0)<break/> Female:8(100)</td>
<td valign="top" align="left">Judo athletes</td>
<td valign="top" align="left">HRW<break/> 300 mL within 30 min before exercise</td>
<td valign="top" align="left">Special judo fitness test</td>
<td valign="top" align="left">Fatigue: BLA&#x02193;<break/> Aerobic capacity: Performance index &#x02192; <break/> Others: pH&#x02193;;Bicarbonate&#x02193;;HR<sub>max</sub> &#x02192; ;Resting HR &#x02192; ; Recovery HR &#x02192; </td>
</tr> <tr>
<td valign="top" align="left">Da Ponte et al. (<xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="top" align="left">RCD</td>
<td valign="top" align="left">8</td>
<td valign="top" align="left">41 &#x000B1; 7</td>
<td valign="top" align="left">Male:8(100)<break/> Female:0(0)</td>
<td valign="top" align="left">Well-trained cyclists</td>
<td valign="top" align="left">HRW (pH:9.8; ORP:&#x02212;180 mV; FH:450 ppb; TDS:180 mg/L)<break/> 2 liters per day for 2 weeks before exercise</td>
<td valign="top" align="left">30 min intermittent cycling test to exhaustion</td>
<td valign="top" align="left">Fatigue: RPE<xref ref-type="table-fn" rid="TN3"><sup>c</sup></xref> &#x02192; ; BLA &#x02192; <break/> Aerobic capacity: P<sub>m</sub>&#x02192;<break/> Others: VO<sub>2</sub> &#x02192; ; RER &#x02192; ; HR<sub>avg</sub> &#x02192; ; HR<sub>max</sub> &#x02192; ; P<sub>max</sub> &#x02192; ; Fatigue index &#x02192; ; Time to P<sub>max</sub> &#x02192; ; Blood pH &#x02192; ; Bicarbonate [HCO<inline-formula><mml:math id="M1"><mml:msubsup><mml:mrow></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup><mml:mrow><mml:mo>]</mml:mo></mml:mrow><mml:mo>&#x02192;</mml:mo></mml:math></inline-formula>; Base excess &#x02192; ; pO<sub>2</sub> &#x02192; ; pCO<sub>2</sub> &#x02192; ; Hemoglobin &#x02192; ; Hemoglobin Sat &#x02192; ; Glucose &#x02192; </td>
</tr>
<tr>
<td valign="top" align="left">LeBaron et al. (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="top" align="left">RCD</td>
<td valign="top" align="left">19</td>
<td valign="top" align="left">25.0 &#x000B1;8.9</td>
<td valign="top" align="left">Male:15(79)<break/> Female:4(21)</td>
<td valign="top" align="left">Untrained healthy participants</td>
<td valign="top" align="left">HRW (TDS:13.1 mg/L)</td>
<td valign="top" align="left">Incremental treadmill running test to exhaustion</td>
<td valign="top" align="left">Aerobic capacity: VO<sub>2peak</sub>&#x02192;<break/> Others: HR<sub>avg</sub>&#x02193;; HR<sub>max</sub> &#x02192; ; RER &#x02192; ; RR &#x02192; </td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">500 ml intake the day before and on the day of exercise</td>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">Botek et al. (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="left">RCD</td>
<td valign="top" align="left">12</td>
<td valign="top" align="left">27.1 &#x000B1; 4.9</td>
<td valign="top" align="left">Male:12(100)<break/> Female:0(0)</td>
<td valign="top" align="left">Recreationally trained sport science students</td>
<td valign="top" align="left">HRW (pH:7.4; ORP:&#x02212;400 mV; Temp: 22&#x000B0;C; H<sub>2</sub> conc.:0.5 ppm)</td>
<td valign="top" align="left">Incremental cycling test to exhaustion</td>
<td valign="top" align="left">Fatigue: RPE&#x02193;; BLA&#x02193;<break/> Others: VE &#x02192; ; VO<sub>2</sub> &#x02192; ; VE/VO<sub>2</sub>&#x02191;; HR<sub>avg</sub> &#x02192; ; RQ &#x02192; </td>
</tr>
 <tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">600 ml within 30 min before exercise</td>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">Javorac et al. (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="left">RCD</td>
<td valign="top" align="left">20</td>
<td valign="top" align="left">22.9 &#x000B1; 1.5</td>
<td valign="top" align="left">Male:10(50)<break/> Female:10(50)</td>
<td valign="top" align="left">Untrained physically active participants</td>
<td valign="top" align="left">HRG (%4 H<sub>2</sub>)<break/> 20 min once-per-day inhalation for 7 days</td>
<td valign="top" align="left">Incremental treadmill running test to exhaustion</td>
<td valign="top" align="left">Fatigue: BLA &#x02192; <break/> Aerobic capacity: VO<sub>2max</sub> &#x02192; ; TTE &#x02192; <break/> Others: Leg MVIS &#x02192; ;YMCA endurance &#x02192; ; resting Blood pressure &#x02192; ; Resting HR &#x02192; ; MRS&#x02191;; Insulin &#x02192; ; Ghrelin &#x02192; ; IGF-1&#x02191;; CK &#x02192; ; Myoglobin &#x02192; ; C-reactive protein&#x02191;; Ferritin&#x02191;; ESR &#x02192; </td>
</tr>
<tr>
<td valign="top" align="left">Ooi et al. (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="left">RCD</td>
<td valign="top" align="left">14</td>
<td valign="top" align="left">34 &#x000B1; 4</td>
<td valign="top" align="left">Male:14(100)<break/> Female:0(0)</td>
<td valign="top" align="left">Well-trained runners/triathletes</td>
<td valign="top" align="left">HRW (H<sub>2</sub> conc.: 2.60 ppm)<break/> 2 doses of 290 mL within 5&#x0007E;10 min before exercise</td>
<td valign="top" align="left">Incremental treadmill running test to exhaustion</td>
<td valign="top" align="left">Fatigue: RPE &#x02192; ; BLA &#x02192; <break/> Aerobic capacity: VO<sub>2max</sub> &#x02192; ; TTE &#x02192; <break/> Others: RE &#x02192; ; Speed at OBLA &#x02192; ; HRmax &#x02192; ; VE<sub>max</sub> &#x02192; ; RER &#x02192; ; Blood Glucose &#x02192; ; Blood HCO<inline-formula><mml:math id="M2"><mml:msubsup><mml:mrow></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup><mml:mo>&#x02192;</mml:mo></mml:math></inline-formula>; Blood pH &#x02192; </td>
</tr> <tr>
<td valign="top" align="left">Mikami et al. (<xref ref-type="bibr" rid="B25">25</xref>)<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref></td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">H:52</td>
<td valign="top" align="left">51.2 &#x000B1; 6.9</td>
<td valign="top" align="left">Male:23(44)<break/> Female:29(56)</td>
<td valign="top" align="left">Untrained physically active participants</td>
<td valign="top" align="left">HRW (H<sub>2</sub> conc.:0.8 ppm)<break/> 500 mL within 30 min before exercise</td>
<td valign="top" align="left">Incremental cycling test to 75% HRmax</td>
<td valign="top" align="left">Fatigue: RPE&#x02193;<break/> Aerobic Capacity:VO<sub>2max</sub>&#x02192;<break/> Others: Resting HR&#x02193;; VAS&#x02193;</td>
</tr>
 <tr>
<td/>
<td/>
<td valign="top" align="left">P:47</td>
<td valign="top" align="left">51.5 &#x000B1; 7.9</td>
<td valign="top" align="left">Male:20(43)<break/> Female:27(57)</td>
<td/>
<td/>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">Mikami et al. (<xref ref-type="bibr" rid="B25">25</xref>)<xref ref-type="table-fn" rid="TN2"><sup>b</sup></xref></td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">H:30</td>
<td valign="top" align="left">43.6 &#x000B1; 13.3</td>
<td valign="top" align="left">Male:15(50)<break/> Female:15(50)</td>
<td valign="top" align="left">Fitness trainers</td>
<td valign="top" align="left">HRW (H<sub>2</sub> conc.:1.0 ppm)<break/> 500 mL within 10 min before exercise</td>
<td valign="top" align="left">Incremental cycling test to HRmax</td>
<td valign="top" align="left">Fatigue: RPE&#x02193;<break/> Aerobic capacity: VO<sub>2max</sub>&#x02191;</td>
</tr>
 <tr>
<td/>
<td/>
<td valign="top" align="left">P:30</td>
<td valign="top" align="left">43.2 &#x000B1; 14.4</td>
<td valign="top" align="left">Male:15(50)<break/> Female:15(50)</td>
<td/>
<td/>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">Dobashi et al. (<xref ref-type="bibr" rid="B47">47</xref>)</td>
<td valign="top" align="left">RCD</td>
<td valign="top" align="left">8</td>
<td valign="top" align="left">19.4 &#x000B1; 0.85</td>
<td valign="top" align="left">Male:8(100)<break/> Female:0(0)</td>
<td valign="top" align="left">Untrained physically active participants</td>
<td valign="top" align="left">HRW (Temp:4&#x000B0;C; H<sub>2</sub> conc.:5.14 ppm)</td>
<td valign="top" align="left">6 min repeated sprint cycling exercise</td>
<td valign="top" align="left">Fatigue: BLA &#x02192; <break/> Others: CMJ &#x02192; ; MVIC &#x02192; ; P<sub>max</sub>; P<sub>m</sub> for 10-s &#x02192; ; d-ROMs &#x02192; ; BAP &#x02192; </td>
</tr>
 <tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">500 mL within 5 min before and after the exercise for 3 days</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Botek et al. (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="left">RCD</td>
<td valign="top" align="left">16</td>
<td valign="top" align="left">31.6 &#x000B1; 8.6</td>
<td valign="top" align="left">Male:16(100)<break/> Female:0(0)</td>
<td valign="top" align="left">Well-trained runners</td>
<td valign="top" align="left">HRW (pH:7.8; H<sub>2</sub> conc.: 0.9 ppm)<break/> 420-mL doses at 24 h, 3 h, 2 h, and 40 min before exercise</td>
<td valign="top" align="left">4.2-km up-hill race</td>
<td valign="top" align="left">Fatigue: RPE &#x02192; <break/> Aerobic capacity: Race time &#x02192; <break/> Others: HR<sub>max</sub>&#x02192;</td>
</tr> <tr>
<td valign="top" align="left">Shibayama et al. (<xref ref-type="bibr" rid="B48">48</xref>)</td>
<td valign="top" align="left">RCD</td>
<td valign="top" align="left">8</td>
<td valign="top" align="left">20.9 &#x000B1; 0.3</td>
<td valign="top" align="left">Male:8(100)<break/> Female:0(0)</td>
<td valign="top" align="left">Untrained physically active participants</td>
<td valign="top" align="left">HRG (68% H<sub>2</sub>)<break/> 60 min after exercise</td>
<td valign="top" align="left">30min Treadmill running (75%VO<sub>2max</sub>) and squat jump 5 &#x000D7; 10 rep.</td>
<td valign="top" align="left">Aerobic capacity: P<sub>m</sub>&#x02192;<break/> Others: CMJ&#x02191;; MVIC &#x02192; ; P<sub>max</sub> &#x02192; ; d-ROMs &#x02192; ; BAP &#x02192; ; U8ER&#x02193;; CKa &#x02192; ; LDa &#x02192; ; White blood cells &#x02192; </td>
</tr> <tr>
<td valign="top" align="left">Hori et al. (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="top" align="left">RCD</td>
<td valign="top" align="left">12</td>
<td valign="top" align="left">21.8 &#x000B1; 5.8</td>
<td valign="top" align="left">Male:12(100)<break/> Female:0(0)</td>
<td valign="top" align="left">Untrained healthy participants</td>
<td valign="top" align="left">HRG (1% H<sub>2</sub>)<break/> 30 min during exercise</td>
<td valign="top" align="left">Cycling for 30 minutes at 60% VO<sub>2peak</sub></td>
<td valign="top" align="left">Aerobic capacity: VO<sub>2peak</sub>&#x02192;<break/> Others: VCO<sub>2</sub>&#x02191;; VE&#x02191;; HRavg &#x02192; ; Vacetone&#x02191;; VO<sub>2</sub> rest &#x02192; ; VCO<sub>2</sub> rest &#x02192; ; VE rest &#x02192; ; Recovery HR &#x02192; ; Vacetone rest &#x02192; ; d-ROMs &#x02192; ; BAP &#x02192; </td>
</tr>
<tr>
<td valign="top" align="left">Hori et al. (<xref ref-type="bibr" rid="B23">23</xref>)<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref></td>
<td valign="top" align="left">RCD</td>
<td valign="top" align="left">9</td>
<td valign="top" align="left">19.9 &#x000B1; 1.2</td>
<td valign="top" align="left">Male:6(67)<break/> Female:3(33)</td>
<td valign="top" align="left">Untrained university students</td>
<td valign="top" align="left">HRW (H<sub>2</sub> conc.:4.3 ppm)</td>
<td valign="top" align="left">Incremental cycling test to exhaustion</td>
<td valign="top" align="left">Fatigue: RPE &#x02192; ; BLA &#x02192; <break/> Aerobic capacity: VO<sub>2peak</sub>&#x02192;<break/> Others: Resting HR &#x02192; ; P<sub>max</sub> &#x02192; ; CDO &#x02192; ; RER &#x02192; ; VE &#x02192; ; HRmax &#x02192; ; d-ROMs &#x02192; ; BAP &#x02192; </td>
</tr>
 <tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">500 mL doses at 35 min before exercise</td>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">Hori et al. (<xref ref-type="bibr" rid="B23">23</xref>)<xref ref-type="table-fn" rid="TN2"><sup>b</sup></xref></td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">H:10</td>
<td valign="top" align="left">20.3 &#x000B1; 1.3</td>
<td valign="top" align="left">Male:20(100)<break/> Female:0(0)</td>
<td valign="top" align="left">Untrained university students</td>
<td valign="top" align="left">HRW (H<sub>2</sub> conc.:5.9 ppm)<break/> 500 mL on all weekdays for 2 weeks</td>
<td valign="top" align="left">Incremental cycling test to exhaustion</td>
<td valign="top" align="left">Fatigue: RPE &#x02192; ; BLA<xref ref-type="table-fn" rid="TN3"><sup>c</sup></xref>&#x02192;<break/> Aerobic Capacity: VO<sub>2peak</sub>&#x02192;<break/> Others: P<sub>max</sub> &#x02192; ; CDO &#x02192; ; RER &#x02192; ; VE &#x02192; ; Resting HR &#x02192; ; HRmax &#x02192; ; d-ROMs&#x02191;; BAP&#x02191;</td>
</tr>
 <tr>
<td/>
<td/>
<td valign="top" align="left">P:10</td>
<td valign="top" align="left">20.4 &#x000B1; 4.7</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">Timon et al. (<xref ref-type="bibr" rid="B41">41</xref>)</td>
<td valign="top" align="left">RCD</td>
<td valign="top" align="left">27</td>
<td valign="top" align="left">25.5 &#x000B1; 5.5 <xref ref-type="table-fn" rid="TN4"><sup>d</sup></xref></td>
<td valign="top" align="left">Un</td>
<td valign="top" align="left">Trained cyclists (n=12) and untrained participants (n=15)</td>
<td valign="top" align="left">HRW (pH: 7.5; H<sub>2</sub> conc.:1.9 ppm; ORP:&#x02212;600 mV)<break/> 1920 and 2240 ml per day for 7 days</td>
<td valign="top" align="left">Incremental cycling test to exhaustion</td>
<td valign="top" align="left">Fatigue: RPE &#x02192; ; BLA &#x02192; <break/> Aerobic capacity: VO<sub>2max</sub>&#x02191;; TTE&#x02191;<break/> Others: P<sub>max</sub>&#x02191;; HRmax &#x02192; ; VT2 % VO<sub>2max</sub>&#x02191;; Fatigue index&#x02193;</td>
</tr>
 <tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">26.3 &#x000B1; 5.9 <xref ref-type="table-fn" rid="TN5"><sup>e</sup></xref></td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Alharbi et al.(<xref ref-type="bibr" rid="B49">49</xref>)</td>
<td valign="top" align="left">RCD</td>
<td valign="top" align="left">18</td>
<td valign="top" align="left">21 &#x000B1; 1</td>
<td valign="top" align="left">Male:18(100)<break/> Female:0(0)</td>
<td valign="top" align="left">Recreationally trained participants</td>
<td valign="top" align="left">HRC (0.636 &#x003BC;g/capsule)<break/> 2.544 &#x003BC;g/day for 3 days</td>
<td valign="top" align="left">Incremental cycling test to exhaustion</td>
<td valign="top" align="left">Fatigue: BLA &#x02192; <break/> Aerobic capacity: VO<sub>2peak</sub> &#x02192; ; TTE &#x02192; <break/> Others: Electrolytes (Na<sup>&#x0002B;</sup> &#x02192; ; K<sup>&#x0002B;</sup> &#x02192; ; Ca<sup>2&#x0002B;</sup> &#x02192; ; Cl<sup>&#x02212;</sup> &#x02192; ; AGap&#x02191;; AGapK &#x02192;); VE&#x02191;; VO<sub>2</sub>&#x02191;; VCO<sub>2</sub>&#x02191;; Blood gas (pH &#x02191;; PO<sub>2</sub> &#x02192; ; PCO<sub>2</sub> &#x02192; ; HCO<inline-formula><mml:math id="M3"><mml:msubsup><mml:mrow></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup><mml:mi>&#x02191;</mml:mi></mml:math></inline-formula>); TR-NIRS in the RF/VL (Total [Hb&#x0002B;Mb] &#x02192; ; Deoxy [Hb&#x0002B;Mb] &#x02191;; StO<sub>2</sub>&#x02191;); HRmax &#x02192; ; HR<sub>avg</sub> &#x02192; ; P<sub>max</sub>&#x02192;</td>
</tr> <tr>
<td valign="top" align="left">Dong et al. (<xref ref-type="bibr" rid="B46">46</xref>)</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">H:9</td>
<td valign="top" align="left">23.2 &#x000B1; 1.1</td>
<td valign="top" align="left">Male:6(67)<break/> Female:3(33)</td>
<td valign="top" align="left">Dragon boat athletes</td>
<td valign="top" align="left">HRW (FH:1600 ppb)<break/> 1000 mL per day for 8 days</td>
<td valign="top" align="left">Rowing dynamometer rowing test</td>
<td valign="top" align="left">Aerobic capacity: Pm &#x02192; <break/> Others: P<sub>max</sub>&#x02191;; HR<sub>max</sub>&#x02193;; Recovery HR &#x02193;</td>
</tr>
 <tr>
<td valign="top" align="left">s</td>
<td/>
<td valign="top" align="left">P:9</td>
<td valign="top" align="left">22.7 &#x000B1; 0.9</td>
<td valign="top" align="left">Male:6(67)<break/> Female:3(33)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Botek et al. (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="left">RCD</td>
<td valign="top" align="left">16</td>
<td valign="top" align="left">18.8 &#x000B1; 1.2</td>
<td valign="top" align="left">Male:16(100)<break/> Female:0(0)</td>
<td valign="top" align="left">Professional soccer players</td>
<td valign="top" align="left">HRW (pH:7.9 ORP: &#x02212;652 mV; Temp: 20&#x000B0;C; H<sub>2</sub> conc.:0.9 ppm)<break/> 420 mL at 120 min, 60 min and 210 mL at 15 min, 5 min before exercise</td>
<td valign="top" align="left">Repeated sprints (15 &#x000D7; 30 m track sprints with recovery 20-s)</td>
<td valign="top" align="left">Fatigue: RPE &#x02192; ; BLA &#x02192; <break/> Aerobic capacity: Average time for 30m repeat sprints&#x02191;<break/> Others:0&#x0007E;15m sprint time &#x02192; ;15&#x0007E;30m sprint time &#x02192; </td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN1"><label>a</label><p>Study I in the publication; AGap, Aniongap; AGapK, Aniongap potassium;</p></fn>
<fn id="TN2"><label>b</label><p>Study II in the publication; BLA, Blood lactate; BAP: Biological Antioxidant Potential; conc., concentration;</p></fn>
<fn id="TN3"><label>c</label><p>Outcome data was not available by contacting the corresponding author and other authors on the publication; CK, Creatine kinase; CKa, Creatine kinase activity, CMJ, Countermovement Jump; CDO, Carbon Dioxide Output;</p></fn>
<fn id="TN4"><label>d</label><p>cyclists; d-ROMs, diacron-Reactive Oxygen Metabolites;</p></fn>
<fn id="TN5"><label>e</label><p>untrained participants;</p></fn>
<p>ESR, Erythrocyte Sedimentation Rate; FH, Free Hydrogen; H, H<sub>2</sub> group; HRW, Hydrogen-Rich Water; HRG, Hydrogen-Rich Gas; HRC, Hydrogen-Rich Calcium powder; HRG: Hydrogen-Rich Gas; HR, Heart Rate; HR<sub>avg</sub>, average Heart Rate; HR<sub>max</sub>, maximum Heart Rate; LDa, Lactate Dehydrogenase activity; MF, Median frequency; MPF, Mean Power Frequency; MVIS, Maximal Voluntary Isometric Strength; MRS, Maximal Running Speed; ORP, Oxidation Reduction Potential; OBLA, Onset of Blood Lactate Accumulation at 4 mmol&#x000B7;L-1;P, Placebo group; P<sub>m</sub>, mean Power; P<sub>max</sub>, maximum Power; RCD, Randomized crossover design; RCT, Randomized controlled trial; RE, Running Economy; rep., repetitions; RER, Respiratory Exchange Ratio; RR, Respiratory Rate; RQ, Respiratory Quotient; RPE, Rating of Perceived Exertion; RF, Rectus Femoris muscle; SCKa, Serum creatine kinas activity; SLDa, Serum lactate dehydrogenase activity; Temp, Temperature; TTE, Time-to-exhaustion; TDS, Total Dissolved Solids; TR-NIRS, Time-resolved Near-infrared Spectroscopy; U8ER, Urinary 8-hydroxydeoxyguanosine Excretion Rate; Un, Unreported; u, untrained; VO<sub>2max</sub>, Maximum Oxygen Uptake; VO<sub>2peak</sub>, Peak Oxygen Uptake; VO<sub>2</sub>, Oxygen Uptake; VT2 % VO<sub>2max</sub>, Percentage of maximal oxygen uptake in the ventilatory anaerobic threshold; VE, Ventilation volume; VAS, Visual Analog Scales; VL, Vastus Lateralis muscle; &#x02193;, H<sub>2</sub> significantly(p &#x0003C; 0.05) reduced the outcome compared to placebo; &#x02191;, H<sub>2</sub> significantly(p &#x0003C; 0.05) improved the outcome compared to placebo; &#x02192; , no significant difference (p &#x0003E; 0.05) between H<sub>2</sub> and placebo.</p>
</table-wrap-foot>
</table-wrap>
<sec>
<title>3.1. Participant characteristics</title>
<p>A total of 402 healthy participants with mean ages ranging from 18.8 to 51.5 years were included (<xref ref-type="table" rid="T1">Table 1</xref>). For the training status, 210 of them were untrained, and 192 were trained. Sex information was missing in one study (<xref ref-type="bibr" rid="B41">41</xref>) (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
</sec>
<sec>
<title>3.2. Protocol of H<sub>2</sub> administration</title>
<p>The included studies implemented three types of hydrogen, that is, hydrogen-rich water (HRW) (<italic>n</italic> = 13) (<xref ref-type="bibr" rid="B23">23</xref>&#x02013;<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B41">41</xref>&#x02013;<xref ref-type="bibr" rid="B47">47</xref>), hydrogen-rich gas (HRG) (<italic>n</italic> = 3) (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B48">48</xref>), and hydrogen-rich calcium powder (HRC) (<italic>n</italic> = 1) (<xref ref-type="bibr" rid="B49">49</xref>). Hydrogen concentrations varied considerably (e.g., HRW: 0.5&#x0007E;5.9 ppm; HRG: 1 to 68%) across these studies (<xref ref-type="table" rid="T1">Table 1</xref>). Eight studies (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B50">50</xref>) examined the effects of a single intake of H<sub>2</sub> within 24 h before exercise. Seven studies (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B44">44</xref>&#x02013;<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B49">49</xref>) implemented the protocol of repeatedly intaking H<sub>2</sub> from 2 to 14 days before exercise. One study (<xref ref-type="bibr" rid="B47">47</xref>) used the intake of HRW before and after exercise for 3 days, and another study (<xref ref-type="bibr" rid="B48">48</xref>) used a single 60-min inhalation of HRG immediately after exercise. The specific amount of H<sub>2</sub> was presented in <xref ref-type="table" rid="T1">Table 1</xref>. Placebos used in these studies depended upon the type of supplement and drinking water, inhaling normal air, or swallowing capsules (i.e., capsules containing calcium powder).</p>
</sec>
<sec>
<title>3.3. Exercise protocol</title>
<p>Two exercise types (continuous and intermittent) were used to induce fatigue. Specifically, eight studies (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>&#x02013;<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B49">49</xref>) used continuous load-incremental exercise (i.e., incremental treadmill running test, incremental cycling test); four studies (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B48">48</xref>) used continuous fixed-load exercise; one study (<xref ref-type="bibr" rid="B30">30</xref>) used a 4.2-km up-hill race; three studies (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B47">47</xref>) used intermittent sprint exercises; and the other one (<xref ref-type="bibr" rid="B43">43</xref>) used an intermittent judo fitness test.</p>
</sec>
<sec>
<title>3.4. Outcome measurements</title>
<p>Nine of the studies (<xref ref-type="bibr" rid="B23">23</xref>&#x02013;<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B49">49</xref>) assessed both fatigue and aerobic capacity immediately after exercise. Three studies (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B47">47</xref>) assessed only fatigue immediately after exercise. Four studies (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B48">48</xref>) assessed only aerobic capacity. In addition, other outcomes such as heart rate, explosive power, respiratory circulations, blood metabolites, and muscle functions were also assessed (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
</sec>
<sec>
<title>3.5. Risk of bias</title>
<p>The results of the quality evaluation of the included 19 studies were shown in <xref ref-type="fig" rid="F2">Figure 2</xref>. Four (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B47">47</xref>) of them used a randomized, single-blinded and placebo-controlled design; and the others used a randomized, double-blinded and placebo-controlled design. One study (<xref ref-type="bibr" rid="B23">23</xref>) was evaluated as high risk of bias, 11 were as low risk, and the other seven (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B47">47</xref>) were as moderate risk.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Risk of bias in the included studies.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnut-10-1094767-g0002.tif"/>
</fig>
</sec>
<sec>
<title>3.6. Meta-analysis</title>
<p>Based on the heterogeneity, we performed subgroup analyses of RPE and blood lactate by comparing between training status (i.e., untrained and trained), intervention period (i.e., a single time within 24 h and multiple days before exercise), and exercise modes (i.e., continuous and intermittent exercises) as variables (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Subgroup analysis results regarding the effects of H<sub>2</sub> on fatigue.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="border-right: thin solid #000000;background-color:#919498;color:#ffffff">
<th valign="top" align="left"><bold>Outcomes</bold></th>
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="center"><bold>No. of studies</bold></th>
<th valign="top" align="center"><bold>SMD (95%CI)</bold></th>
<th valign="top" align="center"><italic><bold>P-</bold></italic><bold>value</bold></th>
<th valign="top" align="center" colspan="3"><bold>Test of heterogeneity</bold></th>
</tr>
<tr style="border-right: thin solid #000000;background-color:#919498;color:#ffffff">
<th/>
<th/>
<th/>
<th/>
<th/>
<th valign="top" align="center">&#x003C7;<sup>2</sup></th>
<th valign="top" align="center"><bold>P-value</bold></th>
<th valign="top" align="center"><bold>I</bold><sup>2</sup><bold>(%)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">RPE</td>
<td valign="top" align="left" colspan="7" style="background-color:#e0e1e3"><bold>Training status</bold></td>
</tr> <tr>
<td/>
<td valign="top" align="left">Untrained</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">&#x02212;0.47 (&#x02212;0.78, &#x02212;0.16)</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">1.70</td>
<td valign="top" align="center">0.637</td>
<td valign="top" align="center">0</td>
</tr> <tr>
<td/>
<td valign="top" align="left">Trained</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">&#x02212;0.36 (&#x02212;0.75, 0.12)</td>
<td valign="top" align="center">0.161</td>
<td valign="top" align="center">11.40</td>
<td valign="top" align="center">0.044</td>
<td valign="top" align="center">56.1</td>
</tr> <tr>
<td/>
<td valign="top" align="left" colspan="7" style="background-color:#e0e1e3"><bold>Period of H</bold><sub><bold>2</bold></sub> <bold>implementation</bold></td>
</tr> <tr>
<td/>
<td valign="top" align="left">Intake H<sub>2</sub> at a single time before exercise</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">&#x02212;0.44 (&#x02212;0.77, &#x02212;0.12)</td>
<td valign="top" align="center">0.007</td>
<td valign="top" align="center">10.11</td>
<td valign="top" align="center">0.120</td>
<td valign="top" align="center">40.6</td>
</tr> <tr>
<td/>
<td valign="top" align="left">Intake H<sub>2</sub> for multiple days before exercise</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">&#x02212;0.12 (&#x02212;0.58, 0.33)</td>
<td valign="top" align="center">0.606</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.976</td>
<td valign="top" align="center">0</td>
</tr> <tr>
<td/>
<td valign="top" align="left" colspan="7" style="background-color:#e0e1e3"><bold>Exercise types</bold></td>
</tr> <tr>
<td/>
<td valign="top" align="left">Continuous exercises</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">&#x02212;0.32 (&#x02212;0.59, &#x02212;0.06)</td>
<td valign="top" align="center">0.017</td>
<td valign="top" align="center">9.69</td>
<td valign="top" align="center">0.207</td>
<td valign="top" align="center">27.8</td>
</tr> <tr>
<td/>
<td valign="top" align="left">Intermittent exercises</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x02212;0.96 (&#x02212;1.70, &#x02212;0.22)</td>
<td valign="top" align="center">0.011</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr> <tr>
<td valign="top" align="left">Blood Lactate</td>
<td valign="top" align="left" colspan="7" style="background-color:#e0e1e3"><bold>Training status</bold></td>
</tr> <tr>
<td/>
<td valign="top" align="left">Untrained</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">&#x02212;0.30 (&#x02212;0.69, 0.09)</td>
<td valign="top" align="center">0.132</td>
<td valign="top" align="center">0.77</td>
<td valign="top" align="center">0.856</td>
<td valign="top" align="center">0</td>
</tr> <tr>
<td/>
<td valign="top" align="left">Trained</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">&#x02212;0.49 (&#x02212;0.92, &#x02212;0.06)</td>
<td valign="top" align="center">0.025</td>
<td valign="top" align="center">14.73</td>
<td valign="top" align="center">0.040</td>
<td valign="top" align="center">52.5</td>
</tr> <tr>
<td/>
<td valign="top" align="left" colspan="7" style="background-color:#e0e1e3"><bold>Period of H</bold><sub><bold>2</bold></sub> <bold>implementation</bold></td>
</tr> <tr>
<td/>
<td valign="top" align="left">Intake H<sub>2</sub> at a single time before exercise</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">&#x02212;0.62 (&#x02212;1.19, &#x02212;0.05)</td>
<td valign="top" align="center">0.032</td>
<td valign="top" align="center">12.56</td>
<td valign="top" align="center">0.028</td>
<td valign="top" align="center">60.2</td>
</tr> <tr>
<td/>
<td valign="top" align="left">Intake H<sub>2</sub> for multiple days before exercise</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">&#x02212;0.26 (&#x02212;0.57, 0.06)</td>
<td valign="top" align="center">0.107</td>
<td valign="top" align="center">1.95</td>
<td valign="top" align="center">0.746</td>
<td valign="top" align="center">0</td>
</tr> <tr>
<td/>
<td valign="top" align="left" colspan="7" style="background-color:#e0e1e3"><bold>Exercise types</bold></td>
</tr> <tr>
<td/>
<td valign="top" align="left">Continuous exercises</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">&#x02212;0.37 (&#x02212;0.74, 0.00)</td>
<td valign="top" align="center">0.052</td>
<td valign="top" align="center">10.73</td>
<td valign="top" align="center">0.097</td>
<td valign="top" align="center">44.1</td>
</tr> <tr>
<td/>
<td valign="top" align="left">Intermittent exercises</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">&#x02212;0.56 (&#x02212;1.12, 0.01)</td>
<td valign="top" align="center">0.053</td>
<td valign="top" align="center">4.37</td>
<td valign="top" align="center">0.224</td>
<td valign="top" align="center">31.3</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec>
<title>3.6.1. Effects of H<sub>2</sub> on fatigue</title>
<sec>
<title>3.6.1.1. RPE score</title>
<p>Two publications (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>) showed that H<sub>2</sub> can significantly reduce RPE score as compared to the placebo; while another six publications (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B44">44</xref>) showed that H<sub>2</sub> cannot significantly reduce RPE score (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<p>The pooled ES of RPE score was small and significant (SMDpooled = &#x02212;0.38, 95% CI &#x02212;0.65 to &#x02212;0.11, <italic>p</italic> = 0.006, <xref ref-type="fig" rid="F3">Figure 3</xref>) with low heterogeneity (<italic>I</italic><sup>2</sup> = 33.6%, <italic>p</italic> = 0.149). The funnel plot (<bold>Figure 7A</bold>) and Egger&#x00027;s test (<italic>t</italic> = 0.98, <italic>p</italic> = 0.358) indicated no publication bias.</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>The pooled effect size of H<sub>2</sub> intake on rating of perceived exertion.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnut-10-1094767-g0003.tif"/>
</fig>
<p>Subgroup analysis showed that participant training status contributed significantly to the effects of H<sub>2</sub>. Specifically, the ES in untrained participants was significant and small (SMD = &#x02212;0.47, 95% CI &#x02212;0.78 to &#x02212;0.16, <italic>p</italic> = 0.003). The ES in trained participants was not significant and small (SMD = &#x02212;0.36, 95% CI &#x02212;0.75 to 0.12, <italic>p</italic> = 0.161). A significant and small ES for single-dose H<sub>2</sub> intake before exercise (SMD = &#x02212;0.44, 95% CI &#x02212;0.77 to &#x02212;0.12, <italic>p</italic> = 0.007) was observed, while only trivial ES was observed in multiple-day intakes of H<sub>2</sub> (SMD = &#x02212;0.12, 95% CI &#x02212;0.58 to 0.33, <italic>p</italic> = 0.606). With respect to exercise type, the ES was large for intermittent exercises (SMD &#x0003D; &#x02212;0.96, 95% CI &#x02212;1.70 to &#x02212;0.22, <italic>p</italic> = 0.011), and was small and significant (SMD = &#x02212;0.32, 95% CI &#x02212;0.59 to &#x02212;0.06, <italic>p</italic> = 0.017) for continuous exercises.</p>
</sec>
<sec>
<title>3.6.1.2. Blood lactate</title>
<p>Three publications (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>) showed that H<sub>2</sub> can significantly reduce blood lactate levels as compared to the placebo; while another eight publications (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B49">49</xref>) showed opposite results that H<sub>2</sub> cannot significantly reduce blood lactate levels (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<p>The pooled ES of blood lactate was significant and small (SMD<sub>pooled</sub> = &#x02212;0.42, 95% CI &#x02212;0.72 to &#x02212;0.12, <italic>p</italic> = 0.006, <xref ref-type="fig" rid="F4">Figure 4</xref>) with low heterogeneity (<italic>I</italic><sup>2</sup> = 35.6%, <italic>p</italic> = 0.114). The funnel plot (<bold>Figure 7B</bold>) and Egger&#x00027;s test (<italic>t</italic> = &#x02212;3.64, <italic>p</italic> = 0.005) indicated a potential risk of publication bias; but the Trim and Fill method for sensitive analysis showed that the pooled ES (Fixed: SMD<sub>pooled</sub> = &#x02013;.362, <italic>p</italic> = 0.002; Random: SMD<sub>pooled</sub> = &#x02212;0.418, <italic>p</italic> = 0.006) was robust.</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>The pooled effect size of H<sub>2</sub> intake on blood lactate.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnut-10-1094767-g0004.tif"/>
</fig>
<p>Subgroup analysis showed that participant training status contributed significantly to the effects of H<sub>2</sub>. Specifically, the ES in trained participants was significant and close to moderate (SMD = &#x02212;0.49, 95% CI &#x02212;0.92 to &#x02212;0.06, <italic>p</italic> = 0.025), but was small and not significant in untrained participants (SMD &#x0003D; &#x02212;0.30, 95% CI &#x02212;0.69 to 0.09, <italic>p</italic> = 0.132). A significant and moderate ES for single-dose H<sub>2</sub> intake before exercise (SMD &#x0003D; &#x02212;0.62, 95% CI &#x02212;1.19 to &#x02212;0.05, <italic>p</italic> = 0.032) was observed, while only small ES was observed in multiple-day intakes of H<sub>2</sub> (SMD = &#x02212;0.26, 95% CI &#x02212;0.57 to 0.06, <italic>p</italic> = 0.107). Regarding exercise type, the ES was moderate for intermittent exercises (SMD = &#x02212;0.56, 95% CI &#x02212;1.12 to 0.01, <italic>p</italic> = 0.053), and was small (SMD = &#x02212;0.37, 95% CI &#x02212;0.74 to 0.00, <italic>p</italic> = 0.052) for continuous exercises.</p>
</sec>
</sec>
<sec>
<title>3.6.2 Effects of H<sub>2</sub> on aerobic capacity</title>
<sec>
<title>3.6.2.1. VO<sub>2<italic>max</italic></sub>/VO<sub>2<italic>peak</italic></sub></title>
<p>Three publications (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B41">41</xref>) reported that H<sub>2</sub> induced significant improvement in VO<sub>2max</sub> or VO<sub>2peak</sub> as compared to the placebo; while six publications (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B49">49</xref>) reported no such effect (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<p>The pooled ES of VO<sub>2max</sub> and VO<sub>2peak</sub> was not significant and trivial (SMD<sub>pooled</sub> = 0.09,95% CI &#x02212;0.10 to 0.29, <italic>p</italic> = 0.333, <xref ref-type="fig" rid="F5">Figure 5</xref>) without heterogeneity (<italic>I</italic><sup>2</sup> = 0%, <italic>p</italic> = 0.996). The funnel plot (<bold>Figure 7C</bold>) and Egger&#x00027;s test (<italic>t</italic> = 0.01, <italic>p</italic> = 0.990) indicated no publication bias.</p>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>The pooled effect size of H<sub>2</sub> intake on VO<sub>2max</sub> (VO<sub>2peak</sub>).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnut-10-1094767-g0005.tif"/>
</fig>
</sec>
<sec>
<title>3.6.2.2. Endurance performance</title>
<p>Two publications (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B41">41</xref>) reported that H<sub>2</sub> significantly increased cycling to exhaustion time or multiple repeat sprint performance as compared to the placebo; while another eight publications (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>) reported no such effect (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<p>The pooled ES of endurance performance was not significant and trivial (SMD<sub>pooled</sub> = 0.01,95% CI &#x02212;0.23 to 0.25, <italic>p</italic> = 0.949, <xref ref-type="fig" rid="F6">Figure 6</xref>) without heterogeneity (<italic>I</italic><sup>2</sup> = 0%, <italic>p</italic> &#x0003E; 0.999). The funnel plot (<xref ref-type="fig" rid="F7">Figure 7D</xref>) and Egger&#x00027;s test (<italic>t</italic> = 1.18, <italic>p</italic> = 0.278) indicated no publication bias.</p>
<fig id="F6" position="float">
<label>Figure 6</label>
<caption><p>The pooled effect size of H<sub>2</sub> intake on endurance performance.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnut-10-1094767-g0006.tif"/>
</fig>
<fig id="F7" position="float">
<label>Figure 7</label>
<caption><p>Funnel plots.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnut-10-1094767-g0007.tif"/>
</fig>
</sec>
</sec>
</sec>
<sec>
<title>3.7. GRADE assessment</title>
<p>The quality of evidence was determined to be moderate, and details for the evaluation of the GRADE framework are presented in <xref ref-type="supplementary-material" rid="SM1">eTable 3</xref>.</p>
</sec>
</sec>
<sec id="s4">
<title>4. Discussion</title>
<p>The results of this systematic review and meta-analysis suggest that H<sub>2</sub> supplementation is a promising strategy for alleviating subjective fatigue and clearing blood lactate as induced by high-intensity exercise. However, H<sub>2</sub> supplementation does not appear to enhance aerobic capacity. The quality of available evidence to date was moderate. Subgroup analyses revealed that the training status, the period of H<sub>2</sub> implementation, and the type of exercise may all influence the effects of H<sub>2</sub> on fatigue and thus need to be carefully considered in the design of future research and practice.</p>
<p>While our results indicate that H<sub>2</sub> can significantly reduce subjective fatigue and blood lactate after high-intensity exercise in healthy adults, they do not provide evidence for the underlying bio-neurophysiological mechanisms involved. One possible explanation is that H<sub>2</sub> appears to be a neuroprotective agent that facilitates the restoration of neuronal oxidative damage by reducing oxidative stress and neuroinflammation (<xref ref-type="bibr" rid="B51">51</xref>&#x02013;<xref ref-type="bibr" rid="B54">54</xref>). H<sub>2</sub> intake has also been reported to induce positive effects on exercise acidosis and reduce blood lactate concentration (<xref ref-type="bibr" rid="B26">26</xref>), thus modulating intracellular and extracellular buffering capacity during high-intensity exercise (<xref ref-type="bibr" rid="B55">55</xref>). It is also possible that the effects of H<sub>2</sub> intake may depend upon the resting redox state of the user (<xref ref-type="bibr" rid="B56">56</xref>). Future studies are thus warranted to further investigate these potential pathways, which will ultimately help the design of appropriate strategies for fatigue alleviation using H<sub>2</sub>.</p>
<p>Subgroup analyses reveal several important factors that likely contribute to the effects of H<sub>2</sub> supplementation on fatigue. First, we observed that the effects were greater in untrained as compared to trained individuals. This may be due to the antioxidant capacity during high-intensity exercise is relatively lower in untrained participants compared to trained participants (<xref ref-type="bibr" rid="B57">57</xref>), which may thus interfere with the effects of H<sub>2</sub> on fatigue (<xref ref-type="bibr" rid="B30">30</xref>), presenting relatively smaller effect size of H<sub>2</sub> on fatigue in this cohort (<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B47">47</xref>). Second, longer period of H<sub>2</sub> implementation, or multiple intakes of H<sub>2</sub>, was not associated with greater reduction of fatigue in healthy adults, as compared to the intake of a single dose immediately before exercise. This observation may be due to the low between-day retention rate of H<sub>2</sub>; for example, it was observed that over 59% of H<sub>2</sub> can be exhaled within the first hour after the intake of HRW (<xref ref-type="bibr" rid="B25">25</xref>). Third, subgroup analyzes revealed that H<sub>2</sub> supplementation may be more effective for fatigue induced by intermittent exercise as compared to continuous exercise (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B30">30</xref>). This may be because bouts of intermittent exercise are typically completed against greater external physical load, which may enable mitochondrial respiratory function to more efficiently intake H<sub>2</sub> and/or increase the concentration level of ROS in muscles, boosting the redox procedure between ROS and molecular hydrogen (<xref ref-type="bibr" rid="B58">58</xref>&#x02013;<xref ref-type="bibr" rid="B60">60</xref>).</p>
<p>Intriguingly, H<sub>2</sub> supplementation did not appear to significantly improve aerobic capacity. This suggests that the observed impact of H<sub>2</sub> intake on fatigue during high-intensity exercise was not sufficient to translate into improved aerobic capacity in healthy adults. Aerobic capacity depends upon multiple underlying bio-physiological procedures, including respiratory function, regulation of oxygen, and local muscle oxygen utilization (<xref ref-type="bibr" rid="B61">61</xref>, <xref ref-type="bibr" rid="B62">62</xref>). Previous studies have reported that acute H<sub>2</sub> supplementation does not substantially modulate these critical factors of aerobic capacity (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B26">26</xref>&#x02013;<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B49">49</xref>), which may at least in part underlie its lack of effect on this important function in humans.</p>
<sec>
<title>4.1. Limitations</title>
<p>Several of the included studies were conducted on a small number of participants (<italic>n</italic> &#x02264; 10) (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B48">48</xref>), which may lead to potential bias. Most included studies focused on only younger and middle-aged men. As such, future studies are thus needed to examine whether the effects of H<sub>2</sub> supplementation differs by age and/or sex. With respect to the latter, studies have reported that compared to men, the antioxidant protective function in women is greater due to estrogen (<xref ref-type="bibr" rid="B63">63</xref>, <xref ref-type="bibr" rid="B64">64</xref>), which may potentially influence the effects of H<sub>2</sub> on fatigue. Finally, considerable work is still needed to determine the dose-response relationship between H<sub>2</sub> and fatigue and the impact of such supplementation on physiological adaptation to exercise and the risk of injury over time.</p>
</sec>
</sec>
<sec id="s5">
<title>5. Conclusions</title>
<p>This analysis indicates that H<sub>2</sub> supplementation can alleviate fatigue but cannot significantly enhance aerobic capacity in healthy adults. The knowledge obtained from this study, such as the appropriate protocols of H<sub>2</sub> administration and selection of exercise type to induce fatigue, will ultimately help inform future studies to confirm and explicitly examine the benefits of H<sub>2</sub> on athletes and untrained people with more rigorous design (e.g., matched number of men and women), helping optimize the protocols of fatigue recovery in the daily routines of professional athletes and untrained people.</p>
</sec>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s10">Supplementary material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>KZ, ML, and DB had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Concept and design: DB, KZ, and JZ. Acquisition, analysis, or interpretation of data: KZ, ML, YW, HL, and JZ. Drafting of the manuscript: KZ and ML. Critical revision of the manuscript for important intellectual content: KZ, ML, YW, HL, BM, DB, LZ, and JZ. Statistical analysis: YW, LZ, and HL. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>DB was supported by the Key Research and Development Projects of the Ministry of Science and Technology (2018YFC2000602).</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s9">
<title>Publisher&#x00027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="s10">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fnut.2023.1094767/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fnut.2023.1094767/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.DOCX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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