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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cardiovasc. Med.</journal-id>
<journal-title>Frontiers in Cardiovascular Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cardiovasc. Med.</abbrev-journal-title>
<issn pub-type="epub">2297-055X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcvm.2022.870847</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cardiovascular Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Cardiorespiratory Fitness and Endothelial Function in Aging Healthy Subjects and Patients With Cardiovascular Disease</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>K&#x00F6;nigstein</surname> <given-names>Karsten</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1455138/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Wagner</surname> <given-names>Jonathan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1051210/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Infanger</surname> <given-names>Denis</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/729363/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Knaier</surname> <given-names>Raphael</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/432865/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>N&#x00E8;ve</surname> <given-names>Gilles</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1561490/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Klenk</surname> <given-names>Christopher</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Carrard</surname> <given-names>Justin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1459241/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Hinrichs</surname> <given-names>Timo</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/640182/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Schmidt-Trucks&#x00E4;ss</surname> <given-names>Arno</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/405745/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Sport, Exercise and Health, Division Sports and Exercise Medicine, University of Basel</institution>, <addr-line>Basel</addr-line>, <country>Switzerland</country></aff>
<aff id="aff2"><sup>2</sup><institution>Clinic for Children and Adolescent Medicine, St&#x00E4;dtisches Klinikum Karlsruhe</institution>, <addr-line>Karlsruhe</addr-line>, <country>Germany</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Radiology, Ludwig-Maximilians University</institution>, <addr-line>Munich</addr-line>, <country>Germany</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Pietro Scicchitano, ASLBari - Azienda Sanitaria Localedella provincia di Bari (ASL BA), Italy</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Frank A. Dinenno, Colorado State University, United States; Khin Chan, VA Palo Alto Health Care System, Veterans Health Administration, United States Department of Veterans Affairs, United States</p></fn>
<corresp id="c001">&#x002A;Correspondence: Karsten K&#x00F6;nigstein, <email>k.koenigstein@unibas.ch</email></corresp>
<corresp id="c002">Arno Schmidt-Trucks&#x00E4;ss, <email>arno.schmidt-trucksaess@unibas.ch</email></corresp>
<fn fn-type="equal" id="fn002"><p><sup>&#x2020;</sup>These authors have contributed equally to this work</p></fn>
<fn fn-type="other" id="fn004"><p>This article was submitted to Cardiovascular Epidemiology and Prevention, a section of the journal Frontiers in Cardiovascular Medicine</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>28</day>
<month>04</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>870847</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 K&#x00F6;nigstein, Wagner, Infanger, Knaier, N&#x00E8;ve, Klenk, Carrard, Hinrichs and Schmidt-Trucks&#x00E4;ss.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>K&#x00F6;nigstein, Wagner, Infanger, Knaier, N&#x00E8;ve, Klenk, Carrard, Hinrichs and Schmidt-Trucks&#x00E4;ss</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>Individuals with a higher lifelong cardiorespiratory fitness show better vascular health with aging. Studies on fitness-related effects on endothelial function either analyzed samples with a narrow age-range or incompletely assessed endothelial responsiveness. This study aims to assess the impact of cardiorespiratory fitness on the association of brachial-arterial flow-mediated vasodilation (FMD) and low flow-mediated vasoconstriction (L-FMC) with age in healthy adults and patients with cardiovascular diseases.</p>
</sec>
<sec>
<title>Methods</title>
<p>FMD, L-FMC and <inline-formula><mml:math id="INEQ1"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak were prospectively measured in a population-based sample including 360 healthy adults and 99 patients with cardiovascular disease of European descend. Non-linear models were applied to assess <inline-formula><mml:math id="INEQ2"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak-associated variations in age-related differences of endothelial function independent of classical cardiovascular risk factors.</p>
</sec>
<sec>
<title>Results</title>
<p>FMD was negatively associated with age in healthy adults (adjusted R<sup>2</sup> = 0.27, partial R<sup>2</sup> = 0.07, <italic>p</italic> &#x003C; 0.001) and in cardiovascular patients (adjusted R<sup>2</sup> = 0.29, partial R<sup>2</sup> = 0.05, <italic>p</italic> = 002). L-FMC showed no association with age. In models predicting the change of FMD with higher age, <inline-formula><mml:math id="INEQ3"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak accounted for 2.8% of variation in FMD (&#x03C7;<sup>2</sup>(5) = 5.37, <italic>p</italic> = 0.372, <italic>s</italic> = 1.43). Thereby, <inline-formula><mml:math id="INEQ4"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak-stratified changes of FMD started to fan out at around 30 years of age in women and 50 years of age in men, with 7&#x2013;12% lower values at old age with <inline-formula><mml:math id="INEQ5"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak &#x2264;3rd percentile compared to <inline-formula><mml:math id="INEQ6"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak &#x2265;97th percentile) in both, the healthy sample and in cardiovascular patients.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The statistical effect of cardiorespiratory fitness on the association of FMD with age independent of classical cardiovascular risk factors was small in both, healthy aging adults as well as patients with cardiovascular diseases. Its clinical significance should be assessed further.</p>
</sec>
</abstract>
<kwd-group>
<kwd>aging</kwd>
<kwd>cardiovascular disease</kwd>
<kwd>primary prevention</kwd>
<kwd>secondary prevention</kwd>
<kwd>ultrasound</kwd>
<kwd>peripheral vascular disease</kwd>
<kwd>atherosclerosis</kwd>
</kwd-group>
<contract-sponsor id="cn001">Schweizerischer Nationalfonds zur F&#x00F6;rderung der Wissenschaftlichen Forschung<named-content content-type="fundref-id">10.13039/501100001711</named-content></contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="50"/>
<page-count count="9"/>
<word-count count="6053"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>Cardiorespiratory fitness is a strong predictor of cardiovascular morbidity and mortality (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). However, less than 50% of the protective effects of regular exercise on the cardiovascular system can be explained by traditional risk factors (<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B5">5</xref>). The remaining risk factor gap of more than 50% may, at least partly, be explained by direct effects of exercise-induced hemodynamic changes on functional and structural properties of the vascular walls (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>This has been demonstrated with brachial arterial flow-mediated vasodilation (FMD), which reflects nitric oxide dependent vasodilator responsiveness of the endothelium toward acute changes in shear stress (<xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>). Studies demonstrated that FMD can be improved by exercise, especially when endothelial function is already impaired (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). This seems to be associated to higher peak oxygen consumption (<inline-formula><mml:math id="INEQ7"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak), the gold-standard biomarker of cardiorespiratory fitness (<xref ref-type="bibr" rid="B13">13</xref>). However, previous works on samples including individuals of a specific age infrequently report an association between <inline-formula><mml:math id="INEQ8"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak and FMD (<xref ref-type="bibr" rid="B14">14</xref>). Especially in young healthy individuals, FMD appears independent of <inline-formula><mml:math id="INEQ9"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak (<xref ref-type="bibr" rid="B15">15</xref>). Instead, two studies in confined samples of young and older adults found favorable cross-sectional associations of <inline-formula><mml:math id="INEQ10"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak with low flow-mediated constriction (L-FMC), which reflects the endothelial vasoconstrictor responsiveness toward altered shear stress (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). Therefore, FMD and L-FMC have been supposed as complementary biomarkers of endothelial function (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>).</p>
<p>Recently, age-related differences of FMD and L-FMC were demonstrated in a healthy European population sample (<xref ref-type="bibr" rid="B20">20</xref>). Some evidence indicates that a lifelong high <inline-formula><mml:math id="INEQ11"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak might effectively support preservation of good endothelial function into old age (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B15">15</xref>). It was speculated that <inline-formula><mml:math id="INEQ12"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak might modify the association of FMD with age, more so in the elderly compared to young adults (<xref ref-type="bibr" rid="B15">15</xref>). Finally, a recent meta-analysis concluded that existing evidence is inconclusive about whether exercise, irrespective of its impact on <inline-formula><mml:math id="INEQ13"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak, is effective to improve FMD in previously sedentary older adults (<xref ref-type="bibr" rid="B21">21</xref>). Accordingly, adaptive capacities of the vascular endothelium toward exercise might vary across the life span and depend on the amount of high-intensity exercise. However, direct effects of <inline-formula><mml:math id="INEQ14"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak on the association of endothelial function with age, independent of classical cardiovascular risk factors, have only been inconsistently studied so far, and only endothelial vasodilator function (FMD), but not vasoconstrictor function (L-FMC), has been analyzed.</p>
<p>In addition, no studies involving patients with cardiovascular diseases exist, that include both, FMD and L-FMC. However, FMD and L-FMC are impaired with apparent cardiovascular diseases, such as heart failure (<xref ref-type="bibr" rid="B22">22</xref>), coronary artery disease (<xref ref-type="bibr" rid="B18">18</xref>) and arterial hypertension (<xref ref-type="bibr" rid="B23">23</xref>). In these patients, increased <inline-formula><mml:math id="INEQ15"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak was associated with improved FMD (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>) and L-FMC (<xref ref-type="bibr" rid="B26">26</xref>), leading to lower rates of morbidity and mortality (<xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>A better understanding of the interactions between cardiorespiratory fitness, aging and endothelial function is necessary to improve precision of exercise-based prescriptions in promotion of healthy aging. Therefore, this study analyzed the impact of cardiorespiratory fitness on the interrelation between endothelial function and age in healthy adults and cardiovascular patients. Specifically, it investigated (I) whether age is independently associated with FMD and L-FMC throughout adult lifespan and (II) whether <inline-formula><mml:math id="INEQ16"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak moderates age-related differences of endothelial function. Based on existing evidence (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B28">28</xref>), the assumption is that age is associated with FMD and L-FMC in a non-linear relationship and that age-related differences of vascular biomarkers depend on the level of <inline-formula><mml:math id="INEQ17"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2.SS1">
<title>Study Design and Participant Characteristics</title>
<p>This prospective study was approved by the Ethics Committee of Northwestern and Central Switzerland (EKNZ 2017&#x2013;01451) and conducted between 2018 and 2020 according to the Declaration of Helsinki. Written informed consent was obtained from all study participants before study participation. It was part of the COmPLETE-project (<xref ref-type="bibr" rid="B29">29</xref>). A detailed description of the study design is presented elsewhere (<xref ref-type="bibr" rid="B29">29</xref>). In summary, the project aimed to analyze age-related differences in physical functioning and to assess the role of physical fitness in this context. For the current study, targeting the interplay between cardiorespiratory fitness and vascular aging, 564 healthy adults between 20 and 91 years of age were recruited based on a randomized and blinded invitation procedure involving rural and urban areas. 144 patients with cardiovascular diseases aged 26 to 91 years stemmed from the vicinity of the cantons Basel-City and Basel-Country. Details about the recruitment procedure can be found elsewhere (<xref ref-type="bibr" rid="B29">29</xref>). After post-procedural data cleaning, full datasets of 360 healthy participants and 99 patients with cardiovascular diseases were used for statistical analyses (<xref ref-type="fig" rid="F1">Figure 1</xref>). Empiric and anthropometric data were collected during a medical interview and examination (<xref ref-type="bibr" rid="B29">29</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Flow-chart of data acquisition and cleaning. <inline-formula><mml:math id="INEQ18"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak = peak oxygen consumption, RER = respiratory exchange quotient.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-870847-g001.tif"/>
</fig>
</sec>
<sec id="S2.SS2">
<title>Measurement of Endothelial Function</title>
<p>FMD and L-FMC were measured semi-automatically with an ECG-guided high-resolution B-mode ultrasound system (UNEX-EF-38G, UNEX Corp., Nagoya, Japan) following a standardized procedure according to up-to-date methodological recommendations (<xref ref-type="bibr" rid="B30">30</xref>). Excellent reliability and precision of this method have been demonstrated before (<xref ref-type="bibr" rid="B31">31</xref>). Details of measurement procedure, post-procedural data cleaning and automatic calculation of FMD and L-FMC have been described elsewhere (<xref ref-type="bibr" rid="B20">20</xref>). Importantly, lower L-FMC values indicate better vasoconstrictor responsiveness, whereas higher FMD values indicate better vasodilator responsiveness.</p>
</sec>
<sec id="S2.SS3">
<title>Measurement of Cardiorespiratory Fitness</title>
<p>Cardiopulmonary exercise testing was conducted on an electromagnetically braked cycle ergometer (Ergoselect-200; Ergoline, Bitz, Germany). Gas exchange and ventilatory variables were continuously analyzed (breath-by-breath) using a computer-based system (MetaMax-3B; Cortex Biophysik GmbH, Leipzig, Germany). Before and during tests, participants were encouraged to reach their individual level of maximal exertion (i.e., volitional exhaustion, dyspnea, or fatigue). <inline-formula><mml:math id="INEQ19"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak was defined as the highest 30-second average of <inline-formula><mml:math id="INEQ20"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub> at any point during the test. Participants without a <inline-formula><mml:math id="INEQ21"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>-plateau who did not fulfill secondary <inline-formula><mml:math id="INEQ22"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak criteria were excluded from analysis. A complete description of testing procedures, including ramp protocols based on predicted performance can be found elsewhere (<xref ref-type="bibr" rid="B32">32</xref>).</p>
</sec>
<sec id="S2.SS4">
<title>Statistical Analyses</title>
<p>Data analysis was performed using &#x201C;R&#x201D; version 3.6.1. Means and standard deviations were calculated for general description of the dataset and the level of significance was set at <italic>p</italic> = 0.05 for all tests. All tests were two-sided. Independent samples <italic>t</italic>-test was used for sex-specific differences between healthy adults and patients with cardiovascular diseases. Linear regression models were used to predict associations of age with FMD and L-FMC. Sample selection accounted for age-related variations of disease burden at different ages, and models were additionally adjusted for sex, mean arterial pressure, heart rate and pre-cuff-inflation diameter, which are major effectors of FMD and L-FMC. All continuous variables were modeled using restricted cubic splines with four knots placed at appropriate quantiles. To evaluate the evidence of a moderating effect of <inline-formula><mml:math id="INEQ23"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak on the relationship between age and FMD, a likelihood ratio test was used comparing a model with an interaction between <inline-formula><mml:math id="INEQ24"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak and age to a model without such an interaction. Model fits were inspected using diagnostic residual plots. The model for FMD exhibited heteroscedastic residuals. Therefore, heteroscedasticity-robust <italic>p</italic>-values and 95%&#x2013;confidence intervals are presented for this model. To visualize the relationship of FMD with age for different levels of cardiorespiratory fitness, model-predicted change of FMD was plotted for different centiles of <inline-formula><mml:math id="INEQ25"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak (3rd, 15th, 50th, 85th, and 97th) (<xref ref-type="bibr" rid="B33">33</xref>) while other variables were fixed at their sex-specific mean. Partial R<sup>2</sup> was presented to quantify the relative importance of the included variables. To aid interpretation, <italic>p</italic>-values were converted to surprisal values (<italic>s</italic>-values) when appropriate using the formula <italic>s</italic> = &#x2212;<italic>log</italic><sub>2</sub>&#x2061;(<italic>p</italic>) (<xref ref-type="bibr" rid="B34">34</xref>). The <italic>s</italic>-value provides an intuitive interpretation of the information conveyed by a certain <italic>p</italic>-value against the tested hypothesis. For a specific <italic>s</italic>-value, <italic>p</italic> conveys roughly the same evidence against the tested null hypothesis as seeing all heads in <italic>s</italic> independent tosses of a fair coin.</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Sample Characteristics</title>
<p>Data of 360 healthy non-smoking adults without cardiovascular disease (48.1% women) and 99 patients with cardiovascular diseases (28.3% women) were analyzed (<xref ref-type="fig" rid="F1">Figure 1</xref> and <xref ref-type="table" rid="T1">Table 1</xref>). Physical activity of the subjects was above a population specific average [details provided elsewhere (<xref ref-type="bibr" rid="B33">33</xref>)]. Healthy participants had a very low average 10-year risk of cardiovascular disease of 8.2 &#x00B1; 8.6% (<xref ref-type="bibr" rid="B35">35</xref>) and their age- and sex-specific <inline-formula><mml:math id="INEQ26"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak was similar (<xref ref-type="bibr" rid="B36">36</xref>) or higher (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>) than in other large cohorts of healthy adults. Cardiovascular diseases among the patients were arterial hypertension (<italic>N</italic> = 42), coronary artery disease (<italic>N</italic> = 41), aortic/mitral valve regurgitation (<italic>N</italic> = 5), atrial fibrillation (<italic>N</italic> = 4), dilative cardiomyopathy (<italic>N</italic> = 4), aortic/mitral valve stenosis (<italic>N</italic> = 2) and pulmonary hypertension (<italic>N</italic> = 1). 95 participants received antihypertensive medication including &#x03B2;-blockers in 47 cases. Lipid-lowering and anti-diabetic medication was taken by 52 and 8 patients, respectively. 4 patients were active smokers, 17 were ex-smokers. Left ventricular ejection fraction was mildly reduced (40 &#x2013; 60%) in 11 patients and severely reduced (&#x003C;40%) in 18 patients. According to NYHA dyspnea classification, 68, 19, 12 and 0 patients were class I, II, III and IV, respectively. Average FMD was lower in patients with cardiovascular diseases than in healthy adults (men: 4.6 &#x00B1; 3.2% vs. 6.6 &#x00B1; 4.0%, women: 4.3 &#x00B1; 3.5% vs. 7.8 &#x00B1; 4.3%, <italic>p</italic> &#x003C; 0.001), whereas there was only little evidence for a difference in L-FMC between groups (men: &#x2212;0.6 &#x00B1; 2.8 vs. &#x2212;0.3 &#x00B1; 2.0, <italic>p</italic> = 0.30, women: &#x2212;0.7 &#x00B1; 3.1 vs. &#x2212;1.2 &#x00B1; 3.0, <italic>p</italic> = 0.38). Further measurement data of endothelial function (i.e., shear rate, blood flow, vascular wall thickness) are presented in the <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 1</xref>.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Sample characteristics.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center" colspan="2">Without cardiovascular disease (<italic>N</italic> = 360)<hr/></td>
<td valign="top" align="center" colspan="2">With cardiovascular disease (<italic>N</italic> = 99)<hr/></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Male<break/> (<italic>N</italic> = 187)</td>
<td valign="top" align="center">Female<break/> (<italic>N</italic> = 173)</td>
<td valign="top" align="center">Male<break/> (<italic>N</italic> = 71)</td>
<td valign="top" align="center">Female<break/> (<italic>N</italic> = 28)</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age [years]</td>
<td valign="top" align="center">49.0 &#x00B1; 18.3</td>
<td valign="top" align="center">51.2 &#x00B1; 19.0</td>
<td valign="top" align="center">68.5 &#x00B1; 12.5<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
<td valign="top" align="center">72.0 &#x00B1; 13.4<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left"><inline-formula><mml:math id="INEQ27"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak [ml/min/kg]</td>
<td valign="top" align="center">40.5 &#x00B1; 9.5</td>
<td valign="top" align="center">32.4 &#x00B1; 8.0</td>
<td valign="top" align="center">24.9 &#x00B1; 8.5<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
<td valign="top" align="center">19.4 &#x00B1; 5.9<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">BMI [kg/m<sup>2</sup>]</td>
<td valign="top" align="center">24.0 &#x00B1; 2.4</td>
<td valign="top" align="center">22.6 &#x00B1; 2.5</td>
<td valign="top" align="center">27.3 &#x00B1; 3.5<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
<td valign="top" align="center">25.5 &#x00B1; 3.3<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">MAP [mmHg]</td>
<td valign="top" align="center">94.9 &#x00B1; 8.2</td>
<td valign="top" align="center">91.1 &#x00B1; 9.5</td>
<td valign="top" align="center">97.3 &#x00B1; 10.8</td>
<td valign="top" align="center">97.7 &#x00B1; 10.7<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">HbA1c [%]</td>
<td valign="top" align="center">5.2 &#x00B1; 0.3</td>
<td valign="top" align="center">5.2 &#x00B1; 0.4</td>
<td valign="top" align="center">5.8 &#x00B1; 0.6<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
<td valign="top" align="center">5.6 &#x00B1; 0.4<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Triglycerides [mg/dL]</td>
<td valign="top" align="center">131.3 &#x00B1; 71.5</td>
<td valign="top" align="center">99.8 &#x00B1; 48.9</td>
<td valign="top" align="center">125.8 &#x00B1; 73.1</td>
<td valign="top" align="center">140.5 &#x00B1; 88.8<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">LDL-cholesterol [mg/dL]</td>
<td valign="top" align="center">118.2 &#x00B1; 25.9</td>
<td valign="top" align="center">123.6 &#x00B1; 29.2</td>
<td valign="top" align="center">101.4 &#x00B1; 31.4<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
<td valign="top" align="center">123.6 &#x00B1; 31.1</td>
</tr>
<tr>
<td valign="top" align="left">hs-CrP [mg/L]</td>
<td valign="top" align="center">1.8 &#x00B1; 4.1</td>
<td valign="top" align="center">1.9 &#x00B1; 3.7</td>
<td valign="top" align="center">3.0 &#x00B1; 3.8<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
<td valign="top" align="center">2.5 &#x00B1; 2.0</td>
</tr>
<tr>
<td valign="top" align="left">Creatinine [mg/L]</td>
<td valign="top" align="center">0.9 &#x00B1; 0.1</td>
<td valign="top" align="center">1.3 &#x00B1; 0.8</td>
<td valign="top" align="center">1.1 &#x00B1; 0.4<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
<td valign="top" align="center">0.8 &#x00B1; 0.2</td>
</tr>
<tr>
<td valign="top" align="left">NT-pro-BNP [pg/mL]</td>
<td valign="top" align="center">77.9 &#x00B1; 75.1</td>
<td valign="top" align="center">128.5 &#x00B1; 96.1</td>
<td valign="top" align="center">468.1 &#x00B1; 667.3<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
<td valign="top" align="center">564.8 &#x00B1; 829.5<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">FMD [%]</td>
<td valign="top" align="center">6.6 &#x00B1; 4.0</td>
<td valign="top" align="center">7.8 &#x00B1; 4.3</td>
<td valign="top" align="center">4.6 &#x00B1; 3.2<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
<td valign="top" align="center">4.3 &#x00B1; 3.5<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">L-FMC [%]</td>
<td valign="top" align="center">&#x2212;0.6 &#x00B1; 2.8</td>
<td valign="top" align="center">&#x2212;0.7 &#x00B1; 3.1</td>
<td valign="top" align="center">&#x2212;0.3 &#x00B1; 2.0</td>
<td valign="top" align="center">&#x2212;1.2 &#x00B1; 3.0</td>
</tr>
<tr>
<td valign="top" align="left">Pre-cuff-infl. diam. [mm]</td>
<td valign="top" align="center">4.2 &#x00B1; 0.5</td>
<td valign="top" align="center">3.4 &#x00B1; 0.4</td>
<td valign="top" align="center">4.4 &#x00B1; 0.6</td>
<td valign="top" align="center">3.7 &#x00B1; 0.6<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Resting heart rate [bpm]</td>
<td valign="top" align="center">57.1 &#x00B1; 9.2</td>
<td valign="top" align="center">58.7 &#x00B1; 8.6</td>
<td valign="top" align="center">58.4 &#x00B1; 8.9</td>
<td valign="top" align="center">61.5 &#x00B1; 9.8</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t1fns1"><p><italic><inline-formula><mml:math id="INEQ28"><mml:mover accent="true"><mml:mi>V</mml:mi><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak = peak oxygen consumption; BMI = Body mass index; MAP = Mean arterial pressure; HbA1c = glycated hemoglobin; LDL-cholesterol = Low-density lipoprotein-cholesterol; hs-CrP = high-sensitivity C-reactive protein; NT-pro-BNP = n-terminal-pro-brain natriuretic peptide; FMD = flow-mediated vasodilation; L-FMC = low flow-mediated vasoconstriction; Pre-cuff-infl. diam. = pre-cuff-inflation diameter; &#x002A;significantly different from &#x201C;without cardiovascular disease&#x201D; (independent student&#x2019;s t-test, significance level p = 0.05).</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS2">
<title>Association of Endothelial Function With Age</title>
<p>FMD showed a significant negative association with age in the healthy sample without burden of chronic diseases (adjusted R<sup>2</sup> = 0.27, partial R<sup>2</sup> = 0.07, <italic>p</italic> &#x003C; 0.001; <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 2</xref>) and in patients with cardiovascular diseases (adjusted R<sup>2</sup> = 0.29, partial R<sup>2</sup> = 0.05, <italic>p</italic> = 002). L-FMC showed no significant association with age in both samples (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 3</xref>).</p>
</sec>
<sec id="S3.SS3">
<title>Moderating Effects of Cardiorespiratory Fitness on the Decline of Flow-Mediated Vasodilation With Aging</title>
<p>There was little evidence that the relationship of FMD with age was moderated by <inline-formula><mml:math id="INEQ29"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak (&#x03C7;<sup>2</sup>(5) = 5.37, <italic>p</italic> = 0.372, <italic>s</italic> = 1.43). Therefore, models containing no interaction between <inline-formula><mml:math id="INEQ30"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak and age were presented. The model explained 30.3% of the variance of FMD with <inline-formula><mml:math id="INEQ31"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak accounting for 2.8%. It predicted a 41% decline of FMD in very high-fit healthy men (<inline-formula><mml:math id="INEQ32"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak &#x2265;97th percentile) from 20 to 90 years of age compared to 48% in very low-fit healthy men (<inline-formula><mml:math id="INEQ33"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak &#x2264;3rd percentile) and of 36% in very high-fit healthy women compared to 45% in very low-fit healthy women (<xref ref-type="fig" rid="F2">Figures 2A,B</xref>). In patients with cardiovascular diseases, predicted age-related differences of FMD were 43% in very high-fit men compared to 55% in very low-fit men and 41% in very high-fit women compared to 52% in very low-fit women (<xref ref-type="fig" rid="F3">Figures 3A,B</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Age-related differences of flow-mediated vasodilation (FMD) in healthy adults <bold>(A)</bold> stratified by percentile of peak oxygen consumption (<inline-formula><mml:math id="INEQ34"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak) and <bold>(B)</bold> predicted difference between FMD in the lowest-fit (<inline-formula><mml:math id="INEQ35"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak &#x2264;3rd percentile) and FMD in the highest fit (<inline-formula><mml:math id="INEQ36"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak &#x2265;97th percentile) individuals. There are no differences associated with cardiorespiratory fitness until the age of 30 (women) and 50 years (men). Afterward, models predict a lower FMD at old age of 7% in very low-fit men (maximum age-related difference of 41% if <inline-formula><mml:math id="INEQ37"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak &#x2265;97th percentile versus 48% if <inline-formula><mml:math id="INEQ38"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak &#x2264;3rd percentile) and of 9% in very low-fit women (36% versus 45%). Absolute mean differences of FMD between <inline-formula><mml:math id="INEQ39"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak percentiles &#x2264;3rd versus &#x2265;97th deviate from 0 in tendency at middle and old age (maximum 0.75%, 95% confidence intervals &#x2013;0.8 &#x2013; 2.3% (men) and &#x2013;1.0 &#x2013; 2.5% (women)). C3, 15, 50, 85, and 97 = <inline-formula><mml:math id="INEQ40"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak percentiles (3rd, 15th, 50th, 85th, and 97th).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-870847-g002.tif"/>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Age-related differences of flow-mediated vasodilation (FMD) in patients with cardiovascular diseases <bold>(A)</bold> stratified by percentile of peak oxygen consumption (<inline-formula><mml:math id="INEQ41"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak) and <bold>(B)</bold> predicted difference between FMD in the lowest-fit (<inline-formula><mml:math id="INEQ42"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak &#x2264;3rd percentile) and FMD in the highest fit (<inline-formula><mml:math id="INEQ43"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak &#x2265;97th percentile) individuals. There are no differences associated with cardiorespiratory fitness until the age of 30 (women) and 50 years (men). Afterward, models predict a lower FMD alt old age of 12% in very low-fit men (maximum age-related difference of 43% if <inline-formula><mml:math id="INEQ44"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak &#x2265;97th percentile versus 55% if <inline-formula><mml:math id="INEQ45"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak &#x2264;3rd percentile) and of 11% in very low-fit women (41% versus 52%). Absolute mean differences of FMD between <inline-formula><mml:math id="INEQ46"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak percentiles &#x2264;3rd versus &#x2265;97th deviate from 0 in tendency at middle and old age (maximum 0.75%, 95% confidence intervals &#x2013;0.8 &#x2013; 2.3% (men) and &#x2013;1.0 &#x2013; 2.5% (women)). C3, 15, 50, 85, and 97 = <inline-formula><mml:math id="INEQ47"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak percentiles (3rd, 15th, 50th, 85th, and 97th).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-870847-g003.tif"/>
</fig>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>Independent of classical cardiovascular risk factors FMD, but not L-FMC, is negatively associated with higher age in both, healthy aging adults and patients with cardiovascular diseases. Additionally, the current study provides some novel insights into the effects of cardiorespiratory fitness on the age-related changes of endothelial function. First, <inline-formula><mml:math id="INEQ48"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak may account only for a small proportion of the age-related change of FMD. Thereby, a constantly low <inline-formula><mml:math id="INEQ49"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak might lead to a 7 (men) &#x2013; 9% (women) lower FMD at old age in healthy individuals and to a 11 (women) &#x2013; 12% (men) lower FMD at old age in patients with cardiovascular diseases. Second, this accelerated decline of FMD may become apparent around the age of 30 years in women, thus 20 years earlier than in men.</p>
<p>These study results demonstrate a negative association of FMD with age, but provide little statistical evidence for an influence of <inline-formula><mml:math id="INEQ50"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak on this association. This is in accordance with the results of Montero et al. (<xref ref-type="bibr" rid="B14">14</xref>) who reported an age-independent association of <inline-formula><mml:math id="INEQ51"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak with FMD in only 46% of all cross-sectional studies. Furthermore, they also reported that FMD in healthy young adults did not differ in low-fit individuals from those being high-fit, which might be due to generally high adaptive capacities in the vascular walls of the young (<xref ref-type="bibr" rid="B15">15</xref>). Assuming that these capacities decline with aging, it seems a logical consequence that the theoretical models in this study suggest relatively lower FMD of 7 &#x2013; 12% in the lowest-fit old-aged individuals compared to those with the highest <inline-formula><mml:math id="INEQ52"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak (maximum difference of total FMD values was 0.75%). Favorable effects of a high <inline-formula><mml:math id="INEQ53"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak on endothelial function at any age were previously demonstrated (<xref ref-type="bibr" rid="B13">13</xref>) emphasizing its importance for a healthy vascular aging independent from other cardiovascular risk factors.</p>
<p>Three potential explanations are proposed for why the statistically small effect of <inline-formula><mml:math id="INEQ54"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak on the negative association of FMD with age might carry a clinical relevance. First, a high cardiorespiratory fitness might exert favorable effects on vascular function that are unrelated to vasodilator function. Therefore, L-FMC was included in the analyses, which was suggested as a complementary biomarker to FMD for the thorough clinical interpretation of endothelial function (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). However, only very little evidence was found for an association of age with L-FMC in this study&#x2019;s sample, probably due to the large variation of L-FMC values despite strict adherence to current measurement guidelines (<xref ref-type="bibr" rid="B30">30</xref>). Furthermore, a previous study comparing L-FMC of the radial with the brachial artery confirmed vasoconstriction upon cuff-occlusion in the radial but not in the brachial artery (<xref ref-type="bibr" rid="B39">39</xref>). The authors concluded, that endothelial dysfunction would manifest as attenuated L-FMC in the radial artery but not in the brachial artery. Accordingly, lower vasoconstrictor responsiveness with higher age might rather occur in the smaller resistance arteries instead of the larger ones.</p>
<p>Second, structural remodeling of the vascular wall in terms of thinner thickness with higher <inline-formula><mml:math id="INEQ55"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak was also discussed as an explanation for a partial non-detectability of favorable vascular effects by measurement of FMD and L-FMC (<xref ref-type="bibr" rid="B40">40</xref>). However, there was no evidence for an association between brachial arterial wall thickness and <inline-formula><mml:math id="INEQ56"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak in this study&#x2019;s analyses (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 4</xref>) leaving it open for discussion, whether favorable structural adaptations in the vascular walls could mitigate improved FMD and L-FMC (<xref ref-type="bibr" rid="B41">41</xref>).</p>
<p>A third explanation can be derived from the assumption, that not maximal shear stress, but rather repeated bouts of increased shear stress induce favorable improvements of endothelial function by exercise (<xref ref-type="bibr" rid="B42">42</xref>). Accordingly, light- or moderate intensity exercise that do not induce changes of <inline-formula><mml:math id="INEQ57"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak, might still induce favorable vascular effects (<xref ref-type="bibr" rid="B43">43</xref>). At this point, longitudinal studies collecting detailed information about the cumulative load of exercise and physical activity at different intensities are lacking. Furthermore, interventional studies including high-, moderate and low-intensity activities are needed as well, to clarify how different modes of exercise effectuate long-term endothelial function independent of <inline-formula><mml:math id="INEQ58"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak.</p>
<sec id="S4.SS1">
<title>Clinical Considerations</title>
<p>Although statistically non-significant, the predicted 7 &#x2013; 9% reduction of FMD with higher age in association with a constantly low <inline-formula><mml:math id="INEQ59"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak in the healthy sample should not be ignored for their potential clinical relevance on an individual level. Notably, a 1% higher FMD may lead to a 13% reduction of cardiovascular morbidity (<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B45">45</xref>) and, thus, might reduce the risk of cardiovascular morbidity considerably, regardless of sex, age or other cardiovascular risk factors (<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B45">45</xref>).</p>
<p>In the older patients with cardiovascular diseases, FMD was 11 (women) &#x2013; 12% (men) lower in the lowest <inline-formula><mml:math id="INEQ60"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak percentile compared to the highest, which equals an absolute difference of 0.8%. This is similar to previously observed effects of exercise training in heart failure patients increasing FMD by 1.08% (<xref ref-type="bibr" rid="B11">11</xref>), which, again seems clearly relevant, in terms of cardiovascular morbidity (<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B45">45</xref>). This is supported by further observations. For example, one study on Japanese individuals with coronary artery disease observed 50% lower rates of cardiovascular events with every 3.1% total improvement of FMD (<xref ref-type="bibr" rid="B46">46</xref>). Furthermore, a reduced FMD was previously associated with higher rates of in-stent restenosis (<xref ref-type="bibr" rid="B47">47</xref>) and occurrence of postoperative cardiovascular sequelae (<xref ref-type="bibr" rid="B48">48</xref>) in patients with coronary artery disease.</p>
<p>Differences in FMD stratified by <inline-formula><mml:math id="INEQ61"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak percentile became visible at the age of 30 years in women, thus 20 years earlier than in men. This seems counter-intuitive, as previous evidence suggests a 10 year earlier decline of endothelial function in men than in women indicating their higher risk for early cardiovascular morbidity and mortality (<xref ref-type="bibr" rid="B49">49</xref>). However, this study&#x2019;s observations support the assumption, that <inline-formula><mml:math id="INEQ62"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak-improving exercise during young adulthood might exert higher favorable effects on vasodilator responsiveness in women, than in men (<xref ref-type="bibr" rid="B13">13</xref>).</p>
</sec>
<sec id="S4.SS2">
<title>Methodological Considerations</title>
<p>The quality of phenotyping with direct state-of-the art measurement of cardiorespiratory fitness and endothelial function as well as the large and well-phenotyped samples representing the healthy population and a population with high cardiovascular disease burden are major strengths of this study.</p>
<p>Importantly, results from the regression analyses are visualized in <xref ref-type="fig" rid="F2">Figures 2</xref>, <xref ref-type="fig" rid="F3">3</xref> but not based on visual inspection of these graphs. Furthermore, they are not descriptive and do not provide clinical cut-offs for FMD with high or low <inline-formula><mml:math id="INEQ63"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak. For this, longitudinal studies with multiple measures are needed. Due to their cross-sectional nature, the models do not allow for the conclusion, that people with a high <inline-formula><mml:math id="INEQ64"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak throughout their adult life will show considerably better FMD than those with low cardiorespiratory fitness, especially as the process of aging does not follow a linear course, thus ultimately requesting longitudinal studies to be assessed. Yet, a person will most likely have a better individual FMD, if a high <inline-formula><mml:math id="INEQ65"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak is maintained into old age. However, the current results give valuable insights into the relationship between vascular aging and cardiorespiratory fitness, supporting previous claims that direct effects of exercise on vascular function and structure might constitute a relevant part of the beneficial effects of exercise in humans independent of classical cardiovascular risk factors (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B50">50</xref>).</p>
</sec>
</sec>
<sec id="S5" sec-type="conclusion">
<title>Conclusion and Perspectives</title>
<p>Flow-mediated vasodilation is negatively associated with age in a healthy population as well as in patients with cardiovascular diseases, whereas L-FMC is not. <inline-formula><mml:math id="INEQ66"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak explains only a small proportion of the age-related change of FMD independent of traditional cardiovascular risk factors. This small statistical effect might account for up to 7&#x2013;12% lower values at old age in low-fit healthy adults and patients with cardiovascular diseases compared to those with higher lifelong <inline-formula><mml:math id="INEQ67"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak. Especially in the patients, this might be clinically relevant in terms of increased morbidity and mortality, emphasizing the need to aim for a lifelong preservation of cardiorespiratory fitness and endothelial function. As a consequence, clinicians should promote the implementation of regular intensive exercise at any age in both, healthy adults as well as patients with cardiovascular diseases. Scientists should conduct long-term observational studies as well as training interventions to analyze <inline-formula><mml:math id="INEQ68"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak-independent benefits of cumulative exercise loads and of different exercise intensities on endothelial function.</p>
</sec>
<sec id="S6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="DS1">Supplementary Material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="S7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Ethikkommission Nordwestschweiz, Switzerland. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="S8">
<title>Author Contributions</title>
<p>KK wrote the manuscript, conducted data analysis and participated in the conception, and conduction of the study. JW participated in the conception and conduction of the study and extensively engaged in preparation, and revision of the manuscript drafts. DI participated in the conception of the study, data analysis, and revision of the manuscript drafts. RK, GN, CK, and JC participated in the conduction of the study and extensively engaged in preparation, and revision of the manuscript drafts. TH and AS-T participated in the conception of the study, supervised the conduction and data analysis and extensively engaged in preparation, and revision of the manuscript drafts. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<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 id="pudiscl1" sec-type="disclaimer">
<title>Publisher&#x2019;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>
</body>
<back>
<sec id="S9" sec-type="funding-information">
<title>Funding</title>
<p>This research was funded by the Swiss National Science Foundation (SNSF), a competitive governmental funding body (grant no. 182815).</p>
</sec>
<ack>
<p>We thank Mirijam Frei, Jennifer Eymann, Marina H&#x00E4;berli, Rahel V&#x00F6;geli, and Barbara Wegmann who participated in data acquisition. We also thank Achim Schwarz (ALF Distribution GmbH, Aachen, Germany) for the technical support with the UNEX EF 38G device (UNEX Corp., Nagoya, Japan) and all participants who contributed with their engagement during data acquisition to the success of this project.</p>
</ack>
<sec id="S11" sec-type="supplementary-material">
<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/fcvm.2022.870847/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcvm.2022.870847/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.PDF" id="DS1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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<glossary>
<title>Abbreviations</title>
<def-list id="DL1">
<def-item><term>FMD</term><def><p>Flow-mediated dilation</p></def></def-item>
<def-item><term>L-FMC</term><def><p>Low flow-mediated constriction</p></def></def-item>
<def-item><term><inline-formula><mml:math id="INEQ69"><mml:mover accent="true"><mml:mtext>V</mml:mtext><mml:mo>.</mml:mo></mml:mover></mml:math></inline-formula>O<sub>2</sub>peak</term><def><p>Peak oxygen consumption.</p></def></def-item>
</def-list>
</glossary>
</back>
</article>