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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Physiol.</journal-id>
<journal-title>Frontiers in Physiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Physiol.</abbrev-journal-title>
<issn pub-type="epub">1664-042X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fphys.2018.00042</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Physiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Peak Velocity as an Alternative Method for Training Prescription in Mice</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Picoli</surname> <given-names>Caroline de Carvalho</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/470429/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Romero</surname> <given-names>Paulo Vitor da Silva</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/494866/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Gilio</surname> <given-names>Gustavo R.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/483376/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Guariglia</surname> <given-names>D&#x000E9;bora A.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/520177/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>T&#x000F3;folo</surname> <given-names>Laize P.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/484033/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>de Moraes</surname> <given-names>Solange M. F.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/521075/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Machado</surname> <given-names>Fabiana A.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/520318/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Peres</surname> <given-names>Sidney B.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/462282/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Physical Education, State University of Maring&#x000E1;</institution>, <addr-line>Paran&#x000E1;</addr-line>, <country>Brazil</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Physiological Sciences, State University of Maring&#x000E1;</institution>, <addr-line>Paran&#x000E1;</addr-line>, <country>Brazil</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Leonardo Alexandre Peyr&#x000E9;-Tartaruga, Federal University of Rio Grande do Sul (UFRGS), Brazil</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Rochelle Rocha Costa, Federal University of Rio Grande do Sul (UFRGS), Brazil; Patrick Christian Even, Physiologie de la Nutrition et du Comportement Alimentaire (PNCA), France</p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x0002A;Correspondence: Sidney B. Peres <email>sbperes&#x00040;uem.br</email></p></fn>
<fn fn-type="other" id="fn002"><p>This article was submitted to Integrative Physiology, a section of the journal Frontiers in Physiology</p></fn></author-notes>
<pub-date pub-type="epub">
<day>06</day>
<month>02</month>
<year>2018</year>
</pub-date>
<pub-date pub-type="collection">
<year>2018</year>
</pub-date>
<volume>9</volume>
<elocation-id>42</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>10</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>01</month>
<year>2018</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2018 Picoli, Romero, Gilio, Guariglia, T&#x000F3;folo, de Moraes, Machado and Peres.</copyright-statement>
<copyright-year>2018</copyright-year>
<copyright-holder>Picoli, Romero, Gilio, Guariglia, T&#x000F3;folo, de Moraes, Machado and Peres</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 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><p><bold>Purpose:</bold> To compare the efficiency of an aerobic physical training program prescribed according to either velocity associated with maximum oxygen uptake (vVO<sub>2max</sub>) or peak running speed obtained during an incremental treadmill test (V<sub>peak_K</sub>) in mice.</p>
<p><bold>Methods:</bold> Twenty male Swiss mice, 60 days old, were randomly divided into two groups with 10 animals each: 1. group trained by vVO<sub>2max</sub> (GVO<sub>2</sub>), 2. group trained by V<sub>peak_K</sub> (GVP). After the adaptation training period, an incremental test was performed at the beginning of each week to adjust training load and to determine the amount of VO<sub>2</sub> and VCO<sub>2</sub> fluxes consumed, energy expenditure (EE) and run distance during the incremental test. Mice were submitted to 4 weeks of aerobic exercise training of moderate intensity (velocity referring to 70% of vVO<sub>2max</sub> and V<sub>peak_K</sub>) in a programmable treadmill. The sessions lasted from 30 to 40 min in the first week, to reach 60 min in the fourth week, in order to provide the mice with a moderate intensity exercise, totaling 20 training sessions.</p>
<p><bold>Results:</bold> Mice demonstrated increases in VO<sub>2max</sub> (ml&#x000B7;kg<sup>&#x02212;1</sup>&#x000B7;min<sup>&#x02212;1</sup>) (GVO<sub>2</sub> &#x0003D; 49.1% and GVP &#x0003D; 56.2%), V<sub>peak_K</sub> (cm&#x000B7;s<sup>&#x02212;1</sup>) (GVO<sub>2</sub> &#x0003D; 50.9% and GVP &#x0003D; 22.3%), EE (ml&#x000B7;kg<sup>&#x02212;0,75</sup>&#x000B7;min<sup>&#x02212;1</sup>) (GVO<sub>2</sub> &#x0003D; 39.9% and GVP &#x0003D; 51.5%), and run distance (cm) (GVO<sub>2</sub> &#x0003D; 43.5% and GVP &#x0003D; 33.4%), after 4 weeks of aerobic training (time effect, <italic>P</italic> &#x0003C; 0.05); there were no differences between the groups.</p>
<p><bold>Conclusions:</bold> V<sub>peak_K</sub>, as well as vVO<sub>2max</sub>, can be adopted as an alternative test to determine the performance and correct prescription of systemized aerobic protocol training to mice.</p>
</abstract>
<kwd-group>
<kwd>treadmill</kwd>
<kwd>incremental test</kwd>
<kwd>running</kwd>
<kwd>training programs</kwd>
<kwd>exercise test</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="35"/>
<page-count count="5"/>
<word-count count="4261"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>The prescription of physical training in mice presents a great challenge owing to the large variety of available testing protocols (Kemi et al., <xref ref-type="bibr" rid="B16">2002</xref>; Ferreira et al., <xref ref-type="bibr" rid="B15">2007</xref>; Ayachi et al., <xref ref-type="bibr" rid="B2">2016</xref>). In particular, running protocols are often used in research involving small rodents because they generally allow the intensity and volume of physical training to be manipulated more easily (Kregel et al., <xref ref-type="bibr" rid="B17">2007</xref>).</p>
<p>Most of the available protocols are adapted from those applied and already tested for prescribed training in humans (Ayachi et al., <xref ref-type="bibr" rid="B2">2016</xref>). Therefore, some variables used to predict human performance, such as maximal oxygen uptake (VO<sub>2max</sub>), velocity associated with its occurrence (vVO<sub>2max</sub>), thresholds related to blood lactate response (lactate threshold, anaerobic threshold, and maximal lactate steady state [MLSS]), and maximum running speed (V<sub>peak</sub>) (Morgan et al., <xref ref-type="bibr" rid="B28">1989</xref>; Bassett and Howley, <xref ref-type="bibr" rid="B3">2000</xref>; Stratton et al., <xref ref-type="bibr" rid="B32">2009</xref>) have also been used in several animals studies with the aim of reproducing the models already developed to evaluate and monitor training performance and prescription in humans (Carvalho et al., <xref ref-type="bibr" rid="B8">2005</xref>; Ferreira et al., <xref ref-type="bibr" rid="B15">2007</xref>; Manoel et al., <xref ref-type="bibr" rid="B25">2017</xref>).</p>
<p>The most classical training prescription method for aerobic training in humans is based on tests using VO<sub>2max</sub> (ACSM, <xref ref-type="bibr" rid="B1">2011</xref>), which represents the highest rate at which oxygen is extracted in the lungs, transported, and used by the body during maximal exercise (Bassett and Howley, <xref ref-type="bibr" rid="B3">2000</xref>), however, it cannot considered the best predictor of performance (Noakes et al., <xref ref-type="bibr" rid="B29">1990</xref>). In order to more accurately predict endurance performance, vVO<sub>2max</sub> has emerged and is defined as the minimum velocity at which VO<sub>2max</sub> is reached in an incremental exercise protocol (Daniels et al., <xref ref-type="bibr" rid="B10">1984</xref>; Morgan et al., <xref ref-type="bibr" rid="B28">1989</xref>; Billat et al., <xref ref-type="bibr" rid="B6">1994</xref>, <xref ref-type="bibr" rid="B4">1999</xref>; Buchheit et al., <xref ref-type="bibr" rid="B7">2010</xref>; Rodrigues et al., <xref ref-type="bibr" rid="B30">2017</xref>).</p>
<p>Although VO<sub>2max</sub> and vVO<sub>2max</sub> are consolidated variables to predict performance and to monitor and prescribe aerobic training, their determination requires the use of gas analyzers and a team of researchers familiarized with such instruments, periodic calibration, and high cost. This is true whether the tests are performed in humans or rodents (Fernando et al., <xref ref-type="bibr" rid="B14">1993</xref>; Wisl&#x000F8;ff et al., <xref ref-type="bibr" rid="B35">2001</xref>). Therefore, reliable and less costly alternatives have been tested and validated for training prescription, such as peak running speed (V<sub>peak</sub>), defined as the maximum velocity reached during an incremental test (Machado et al., <xref ref-type="bibr" rid="B24">2013</xref>). This parameter is strongly correlated with endurance performance in human runners (di Prampero, <xref ref-type="bibr" rid="B11">1986</xref>; Wisl&#x000F8;ff et al., <xref ref-type="bibr" rid="B35">2001</xref>; Machado et al., <xref ref-type="bibr" rid="B23">2007</xref>; Marcaletti et al., <xref ref-type="bibr" rid="B26">2011</xref>) and presents a good correlation with VO<sub>2max.</sub></p>
<p>However, a comparison of training prescriptions and monitoring according to vVO<sub>2max</sub> and V<sub>peak</sub> has not been performed and validated in mice. Such a study may help in reducing the cost and increasing the practicality of training prescription in this animal model. With the above in mind, the aim of this study was to compare the efficiency of an aerobic physical training program prescribed according to either vVO<sub>2max</sub> or V<sub>peak_K</sub> in mice. Our hypothesis was that V<sub>peak_K</sub>, as well as vVO<sub>2max</sub>, can be used for training prescription to mice, with the advantage of not requiring expensive equipment.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and methods</title>
<sec>
<title>Animals and experimental design</title>
<p>Twenty Swiss male mice, 60 days old, acquired from the State University of Maring&#x000E1; (UEM), were maintained in individual polypropylene cages, lined with shavings and cleaned weekly, in an automated room for photoperiod control light-dark cycle 12/12-h at 20 &#x000B1; 24&#x000B0;C. The mice were allowed to feed (Nuvilab Cr1&#x000AE;) and drink water <italic>ad libitum</italic> and food intake and body weight were measured weekly and at the end of the experiment. All procedures were previously approved by the Ethics Committee in Animal Research of the State University of Maring&#x000E1; (UEM) (Maring&#x000E1;, Paran&#x000E1;, Brazil) (protocol n&#x000B0; 033/2014).</p>
<p>Mice were randomly divided into two groups with 10 animals each: a group trained by vVO<sub>2max</sub> (GVO<sub>2</sub>) and another group trained by V<sub>peak_K</sub> (GVP). Mice were submitted to familiarization and adaptation to running exercise on a treadmill for 3 days, at an initial velocity of 8 cm&#x000B7;s<sup>&#x02212;1</sup> until reaching 16 cm&#x000B7;s<sup>&#x02212;1</sup>, with an initial duration of 20 min until reaching 30 min.</p>
</sec>
<sec>
<title>Incremental test</title>
<p>The same incremental test was used for the determination of VO<sub>2max</sub>, vVO<sub>2max</sub>, and V<sub>peak_K</sub>, assessed on a motorized treadmill (Panlab&#x000AE;, Barcelona, Spain), adapted from the protocol proposed by Machado et al. (<xref ref-type="bibr" rid="B24">2013</xref>) in humans. The warm-up period lasted 5-min at 10 cm&#x000B7;s<sup>&#x02212;1</sup>, with an initial velocity of 19 cm&#x000B7;s<sup>&#x02212;1</sup>, followed by an increase of 9 cm&#x000B7;s<sup>&#x02212;1</sup>, every 3 min until exhaustion, which was characterized by the animal incapacity to keep running in the final third of the streak for more than 10 s (Kregel et al., <xref ref-type="bibr" rid="B17">2007</xref>), 0&#x000B0; slope. The speed unit used was cm&#x000B7;s<sup>&#x02212;1</sup> (Kurauti et al., <xref ref-type="bibr" rid="B19">2016</xref>) and the training load was adjusted at the beginning of each training week and the group mean used to determine training intensity.</p>
</sec>
<sec>
<title>Determination of VO<sub>2max</sub> and VVO<sub>2max</sub></title>
<p>During the incremental test, gas chamber was collected to determine the VO<sub>2max</sub> by an air flow control system that allows fine regulation by the LE450 Panlab&#x000AE; gas analyzer (Barcelona, Spain) to determine the amount of VO<sub>2</sub> and VCO<sub>2</sub> fluxes consumed, energy expenditure (EE) and run distance during the incremental test; the equipment was calibrated weekly. Before initiating the maximal incremental test, mice remained at rest for 5 min to determine the resting VO<sub>2</sub> (VO<sub>2rep</sub>) (Billat et al., <xref ref-type="bibr" rid="B5">2005</xref>; Machado et al., <xref ref-type="bibr" rid="B24">2013</xref>). VO<sub>2max</sub> was expressed in values related to body mass from an allometric adjustment equal to 1 (Taylor et al., <xref ref-type="bibr" rid="B34">1955</xref>, <xref ref-type="bibr" rid="B33">1981</xref>).</p>
<p>Exercise intensity data and VO<sub>2max</sub> were recorded every second (METABOLISM software, Pan Lab/Harvard Instruments, Spain) and monitored by an external researcher who visually determined the highest VO<sub>2</sub> reached during the test considered the VO<sub>2max</sub> (McLaughlin et al., <xref ref-type="bibr" rid="B27">2010</xref>), measured at an average of 5-s intervals. Therefore, vVO<sub>2max</sub> was determined as the minimal velocity at which the highest VO<sub>2max</sub> occurred (Billat et al., <xref ref-type="bibr" rid="B6">1994</xref>, <xref ref-type="bibr" rid="B4">1999</xref>).</p>
</sec>
<sec>
<title>Determination of V<sub>peak_K</sub></title>
<p>V<sub>peak</sub> was considered the peak running speed obtained during the incremental treadmill test (Machado et al., <xref ref-type="bibr" rid="B24">2013</xref>); if the last stage during the test was not completed, the V<sub>peak_K</sub> was calculated on the part-time achieved using the equation proposed by Kuipers et al. (<xref ref-type="bibr" rid="B18">2003</xref>): V<sub>peak_K</sub> &#x0003D; (V &#x0002B; t/T x speed increase), where V is the corresponding velocity of the last completed stage (cm&#x000B7;s<sup>&#x02212;1</sup>), t the time (s) of the uncompleted step and, T the completed step (180 s).</p>
</sec>
<sec>
<title>Training protocol</title>
<p>Mice were submitted to 4 weeks of aerobic exercise training in a programmable treadmill (Inbrasport, Porto Alegre, Brazil) adapted with a support to accommodate 10 mice simultaneously. The training intensity was established at 70% of the maximum speed reached during the incremental test for the determination of the variables, vVO<sub>2max</sub> and V<sub>peak_K</sub>, for the GVO<sub>2</sub> and GVP groups, respectively. The 70% maximum speed of training correspond to a moderate exercise session since it presents a high correlation with VO<sub>2max</sub>. (Manoel et al., <xref ref-type="bibr" rid="B25">2017</xref>). Training sessions began at 6 a.m. (lights on), consisting of 1 session per day, 5 times a week (Monday to Friday). The sessions lasted from 30 to 40 min in the first week, from 35 to 50 min in the second week, and 50 to 60 min in the third week, reaching 60 min in the fourth week, in order to submit mice to a moderate intensity exercise, totaling 20 training sessions; the weekly test was considered a training session.</p>
</sec>
<sec>
<title>Data analysis</title>
<p>The sample size was calculated using the G-power software (v.3.1.9.2) (Faul et al., <xref ref-type="bibr" rid="B13">2007</xref>), which demonstrated the necessity of a sample of 11 mice per group for the main variable V<sub>peak_K</sub>; the average effect size was set at 0.25, <italic>P</italic> &#x0003C; 0.05 and 80% power for ANOVA analysis with effect and interaction. All statistical analyses were performed using the Statistica software (v.10, StatSoft Inc., Tulsa, OK, USA). Data are presented as mean &#x000B1; standard deviation (<italic>SD</italic>). Shapiro-Wilk test was performed to verify data normality. Comparison of the pre-and post- training was made by mixed ANOVA for repeated measurements. To locate the differences, Tukey <italic>post-hoc</italic> was applied if significance was observed. The significance level was set at <italic>P</italic> &#x0003C; 0.05. The effect size was calculated using Cohen equation (<italic>d</italic> &#x0003D; M<sub>1</sub> &#x02013;M<sub>2</sub>/<italic>SD</italic> <sub>pooled</sub>) comparing post- vs. pre-training period of vVO<sub>2max</sub> and V<sub>peak_K</sub>. Values of 0.2, 0.5, and 0.8 indicated a small, medium and large average effect, respectively (Cohen, <xref ref-type="bibr" rid="B9">1988</xref>).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>Table <xref ref-type="table" rid="T1">1</xref> shows significant differences in body weight (g), food intake (g) and food intake corrected by body weight after 4 weeks of training (time effect, <italic>P</italic> &#x0003C; 0.05). Mice showed increased body weight (g) but a reduction of food intake (g) over time in both groups. The food intake after 4 weeks showed a marked reduction of GVP group in comparison to GVO2, although not significant.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Body weight, food intake and food intake/body weight in pre- and post-training.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>GVO</bold><sub><bold>2</bold></sub></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>GVP</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><italic><bold>P</bold></italic></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>Pre</bold></th>
<th valign="top" align="center"><bold>Post</bold></th>
<th valign="top" align="center"><bold>Delta (%)</bold></th>
<th valign="top" align="center"><bold>Pre</bold></th>
<th valign="top" align="center"><bold>Post</bold></th>
<th valign="top" align="center"><bold>Delta (%)</bold></th>
<th valign="top" align="center"><bold><italic>Time</italic></bold></th>
<th valign="top" align="center"><bold><italic>Group</italic></bold></th>
<th valign="top" align="center"><bold><italic>Interaction</italic></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Body weight(g)</td>
<td valign="top" align="center">37.2 &#x000B1; 2.5</td>
<td valign="top" align="center">42.5 &#x000B1; 3.3<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">14.3 &#x000B1; 3.7</td>
<td valign="top" align="center">38.5 &#x000B1; 2.3</td>
<td valign="top" align="center">43.6 &#x000B1; 3.8<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">12.2 &#x000B1; 4.7</td>
<td valign="top" align="center">&#x0003C;<bold>0.05</bold></td>
<td valign="top" align="center">0.324</td>
<td valign="top" align="center">0.514</td>
</tr>
<tr>
<td valign="top" align="left">Food intake (g)</td>
<td valign="top" align="center">64.9 &#x000B1; 19.5</td>
<td valign="top" align="center">55.3 &#x000B1; 8.3<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;10.3 &#x000B1; 18.3</td>
<td valign="top" align="center">85.1 &#x000B1; 35.7</td>
<td valign="top" align="center">57.9 &#x000B1; 10.5<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;22.2 &#x000B1; 33.7</td>
<td valign="top" align="center">&#x0003C;<bold>0.05</bold></td>
<td valign="top" align="center">0.121</td>
<td valign="top" align="center">0.193</td>
</tr>
<tr>
<td valign="top" align="left">Food intake/body weight (g)</td>
<td valign="top" align="center">17.1 &#x000B1; 4.4</td>
<td valign="top" align="center">12.5 &#x000B1; 1.2<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;21.7 &#x000B1; 17.0</td>
<td valign="top" align="center">22.1 &#x000B1; 10.0</td>
<td valign="top" align="center">13.4 &#x000B1; 3.1<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;30.3 &#x000B1; 30.9</td>
<td valign="top" align="center">&#x0003C;<bold>0.05</bold></td>
<td valign="top" align="center">0.120</td>
<td valign="top" align="center">0.257</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Values are presented as mean &#x000B1; SD. Delta percentage (%) and P-values for time, group and interaction</italic>.</p>
<fn id="TN1">
<label>&#x0002A;</label>
<p><italic>P &#x0003C; 0.05 significantly different for time comparison (pre- vs. post-training period)</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Table <xref ref-type="table" rid="T2">2</xref> demonstrates that 4 weeks of training promoted increases in VO<sub>2max</sub> (ml&#x000B7;kg<sup>&#x02212;1</sup>&#x000B7;min<sup>&#x02212;1</sup>), vVO<sub>2max</sub> (cm&#x000B7;s<sup>&#x02212;1</sup>), V<sub>peak_K</sub> (cm&#x000B7;s<sup>&#x02212;1</sup>), EE (ml&#x000B7;kg<sup>&#x02212;1</sup>&#x000B7;min<sup>&#x02212;1</sup>), run distance (cm), and delta (%) after 4 weeks of aerobic training (time effect, <italic>P</italic> &#x0003C; 0.05). Also, GVO<sub>2</sub> group presented an interaction effect (<italic>P</italic> &#x0003C; 0.05), indicating the combination of group and time together influenced vVO<sub>2max</sub>. There were no differences between the groups in pre-or post-conditions (group effect).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Pre- and post-training VO<sub>2max</sub>, V<sub>peak_K</sub>, vVO<sub>2max</sub>, EE and run distance.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>GVO</bold><sub><bold>2</bold></sub></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>GVP</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><italic><bold>P</bold></italic></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>Pre</bold></th>
<th valign="top" align="center"><bold>Post</bold></th>
<th valign="top" align="center"><bold>Delta (%)</bold></th>
<th valign="top" align="center"><bold>Pre</bold></th>
<th valign="top" align="center"><bold>Post</bold></th>
<th valign="top" align="center"><bold>Delta (%)</bold></th>
<th valign="top" align="center"><bold><italic>Time</italic></bold></th>
<th valign="top" align="center"><bold><italic>Group</italic></bold></th>
<th valign="top" align="center"><bold><italic>Inter-action</italic></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">VO<sub>2max</sub> (ml&#x000B7;kg<sup>&#x02212;1</sup>&#x000B7;min<sup>&#x02212;1</sup>)</td>
<td valign="top" align="center">28.6 &#x000B1; 3.7</td>
<td valign="top" align="center">39.9 &#x000B1; 8.3<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">42.3 &#x000B1; 40.4</td>
<td valign="top" align="center">30.71 &#x000B1; 3.8</td>
<td valign="top" align="center">47.9 &#x000B1; 11.7<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">49.9 &#x000B1; 44.5</td>
<td valign="top" align="center">&#x0003C;<bold>0.05</bold></td>
<td valign="top" align="center">0.377</td>
<td valign="top" align="center">0.616</td>
</tr>
<tr>
<td valign="top" align="left">V<sub>peak_K</sub> (cm&#x000B7;s<sup>&#x02212;1</sup>)</td>
<td valign="top" align="center">29.4 &#x000B1; 8.2</td>
<td valign="top" align="center">44.3 &#x000B1; 10.1<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">52.3 &#x000B1; 44.5</td>
<td valign="top" align="center">31.2 &#x000B1; 5.6</td>
<td valign="top" align="center">38.2 &#x000B1; 7.7<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">35.5 &#x000B1; 45.9</td>
<td valign="top" align="center">&#x0003C;<bold>0.05</bold></td>
<td valign="top" align="center">0.281</td>
<td valign="top" align="center">0.341</td>
</tr>
<tr>
<td valign="top" align="left">vVO<sub>2max</sub> (cm&#x000B7;s<sup>&#x02212;1</sup>)</td>
<td valign="top" align="center">33.4 &#x000B1; 11.2</td>
<td valign="top" align="center">51.4 &#x000B1; 9.67<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref><xref ref-type="table-fn" rid="TN3"><sup>&#x00023;</sup></xref></td>
<td valign="top" align="center">68.1 &#x000B1; 53.8</td>
<td valign="top" align="center">38.8 &#x000B1; 11.9</td>
<td valign="top" align="center">43.0 &#x000B1; 9.0<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">19.5 &#x000B1; 50.3</td>
<td valign="top" align="center">&#x0003C;<bold>0.05</bold></td>
<td valign="top" align="center">0.801</td>
<td valign="top" align="center">&#x0003C;<bold>0.05</bold></td>
</tr>
<tr>
<td valign="top" align="left">EE (ml&#x000B7;kg<sup>&#x02212;1</sup>&#x000B7;min<sup>&#x02212;1</sup>)</td>
<td valign="top" align="center">200.6 &#x000B1; 29.2</td>
<td valign="top" align="center">280.1 &#x000B1; 56.8<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">43.4 &#x000B1; 41.5</td>
<td valign="top" align="center">211.5 &#x000B1; 23.7</td>
<td valign="top" align="center">314.5 &#x000B1; 86.3<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">49.9 &#x000B1; 44.4</td>
<td valign="top" align="center">&#x0003C;<bold>0.05</bold></td>
<td valign="top" align="center">0.347</td>
<td valign="top" align="center">0.621</td>
</tr>
<tr>
<td valign="top" align="left">Run distance (cm)</td>
<td valign="top" align="center">13, 954.4 &#x000B1; 7, 185.1</td>
<td valign="top" align="center">24, 722.1 &#x000B1; 10, 026.4<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">119.0 &#x000B1; 117.7</td>
<td valign="top" align="center">12, 859.0 &#x000B1; 4, 334.7</td>
<td valign="top" align="center">19, 302.9 &#x000B1; 6, 709.7<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">76.8 &#x000B1; 110.8</td>
<td valign="top" align="center">&#x0003C;<bold>0.05</bold></td>
<td valign="top" align="center">0.197</td>
<td valign="top" align="center">0.339</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Values are presented as mean &#x000B1; SD. VO<sub>2max</sub>, maximum oxygen uptake; vVO<sub>2max</sub>, velocity associated with maximum oxygen uptake; V<sub>peak_K</sub>, peak velocity adjust to Kuipers et al. (<xref ref-type="bibr" rid="B18">2003</xref>); EE, energy expenditure. Delta percentage (%) and P-values for time, group, and interaction analysis</italic>.</p>
<fn id="TN2">
<label>&#x0002A;</label>
<p><italic>P &#x0003C; 0.05 significantly different for time comparison (pre- vs. post-training period)</italic>.</p></fn>
<fn id="TN3">
<label>&#x00023;</label>
<p><italic>P &#x0003C; 0.05 significantly different for interaction comparison (pre- vs. post-training period)</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>In order to expand the data analysis beyond the descriptive statistic, we calculated the effect size comparing post- vs. pre-training period for vVO<sub>2max</sub> and V<sub>peak_K</sub> to assess the magnitude of findings; Figure <xref ref-type="fig" rid="F1">1</xref> shows a large effect in both groups.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Cohen&#x00027;s effect size comparing post- vs. pre-training period for vVO2max and Vpeak_k.</p></caption>
<graphic xlink:href="fphys-09-00042-g0001.tif"/>
</fig>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The aim of the present study was to compare the efficiency of an aerobic physical training program prescribed according to either vVO<sub>2max</sub> and V<sub>peak_K</sub> in mice. Our study demonstrates that both groups, GVO<sub>2</sub> or GVP, improved VO<sub>2m&#x000E1;<italic>x</italic></sub>, vVO<sub>2max.</sub>, and V<sub>peak_K</sub> after 4 weeks of aerobic training. In addition, V<sub>peak_K</sub> has been proved a reliable method to prescribe and monitor exercise training. Moreover, training improved performance in both groups and increased EE and the run distance. To our knowledge, this is the first study to address the importance of V<sub>peak_K</sub> in animal studies.</p>
<p>In the field of exercise physiology, there is great interest in determining the precise intensity of exercise as various research projects use animal models to study the effects of acute and chronic exercise. In this context, several methods to determine training load have been proposed (Kemi et al., <xref ref-type="bibr" rid="B16">2002</xref>; Lerman et al., <xref ref-type="bibr" rid="B20">2002</xref>; Ferreira et al., <xref ref-type="bibr" rid="B15">2007</xref>).</p>
<p>Non-invasive tests report in the literature that use of VO<sub>2max</sub> as the variable to predict the performance of mice diverge from incremental tests and training protocols. In this sense, establishing a consensus about the results is not possible due to a wide range of reported values (47&#x02013;94 ml&#x000B7;kg<sup>&#x02212;1</sup>&#x000B7;min<sup>&#x02212;1</sup>), according to the slope, magnitude of increase, volume, exhaustion criteria, lineages, age, physical condition, and sex of animals (Dohm et al., <xref ref-type="bibr" rid="B12">1994</xref>; Scott and Houmard, <xref ref-type="bibr" rid="B31">1994</xref>; Lightfoot et al., <xref ref-type="bibr" rid="B22">2001</xref>; Wisl&#x000F8;ff et al., <xref ref-type="bibr" rid="B35">2001</xref>; Kemi et al., <xref ref-type="bibr" rid="B16">2002</xref>; Ayachi et al., <xref ref-type="bibr" rid="B2">2016</xref>; Kurauti et al., <xref ref-type="bibr" rid="B19">2016</xref>). A few studies have also focused on demonstrating that lineage and sex variations in mice may influence responses in aerobic power (Lightfoot et al., <xref ref-type="bibr" rid="B21">2010</xref>; McLaughlin et al., <xref ref-type="bibr" rid="B27">2010</xref>).</p>
<p>Considering that, it was conceivable that the use of V<sub>peak_K</sub> would help to minimize the observed differences in VO<sub>2max</sub> once the variable is more sensitive to changes in physical training in humans (Machado et al., <xref ref-type="bibr" rid="B24">2013</xref>; Manoel et al., <xref ref-type="bibr" rid="B25">2017</xref>). In our study, animals trained according to vVO<sub>2max</sub> or V<sub>peak_K</sub> had similar improvements in VO<sub>2max.</sub> and performance over time. In fact, GVO<sub>2</sub> group presented a higher, although not significant, V<sub>peak_K</sub>. Despite the differences between the two prescription methods it is important to emphasize that the current study demonstrated that animals were able to improve aerobic capacity over time. From a metabolic point of view, other metabolic and structural adaptations may have occurred, hence allowing V<sub>peak_K</sub>-based protocol to be a trustworthy training model for rodents. Therefore, we hypothesize that V<sub>peak_K</sub> can also contribute to the prescription of exercise in different lineages, sex, and age groups of mice, since it has proved as a training-sensitive variable.</p>
<p>The determination of V<sub>peak_K</sub>, considering the equation proposed by Kuipers et al. (<xref ref-type="bibr" rid="B18">2003</xref>), allows evaluating aerobic power and monitoring the effects of training more reliable, as the equation takes into account the last stage completed added to the product of the rate of increase and the fraction of the incomplete last stage, abolishing the influence of subjective judgments or overestimations (Machado et al., <xref ref-type="bibr" rid="B24">2013</xref>). Furthermore, V<sub>peak_K</sub> is a low-cost, practical, and reliable parameter, which makes it a fundamental tool for future research in the field of exercise physiology, especially considering the known difficulties of assessing VO<sub>2max</sub> in small rodents (Fernando et al., <xref ref-type="bibr" rid="B14">1993</xref>; Scott and Houmard, <xref ref-type="bibr" rid="B31">1994</xref>; Ayachi et al., <xref ref-type="bibr" rid="B2">2016</xref>).</p>
<p>Although our research was carefully conducted, limitations and shortcomings are unavoidable. The content of muscle glycogen or correlation with blood levels of lactate were not verified during the training period. Also, the training was performed during the day (lights on), opposable to mice habits, which present a predominantly nocturnal behavior.</p>
<p>V<sub>peak_K</sub> has practical implications for researchers aiming to collect data concerning the effects of training due to its low cost, which is made possible by the fact that it does not require any expensive equipment (i.e., gas analyzer). In summary, V<sub>peak_K</sub>, as well as vVO<sub>2max</sub>, can be adopted as an alternative test to determine the performance and correct prescription of a systemized aerobic protocol training to mice.</p>
</sec>
<sec id="s5">
<title>Author contributions</title>
<p>CP: Experiment design, execution of the experiments, writing; PR: Experiment design; GG: Execution of the experiments; DG: Performed statistical analysis; LT: VO2 analysis: SdM: Discussion of data; FM: Conceive the experiments, discussion of data, writing; SP: Concept of the paper, writing.</p>
<sec>
<title>Conflict of interest statement</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. The reviewer RRC and handling Editor declared their shared affiliation.</p>
</sec>
</sec>
</body>
<back>
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