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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Hum. Neurosci.</journal-id>
<journal-title>Frontiers in Human Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Hum. Neurosci.</abbrev-journal-title>
<issn pub-type="epub">1662-5161</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnhum.2022.1063273</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Human Neuroscience</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Cerebral vascular function following the acute consumption of caffeinated artificially- and sugar sweetened soft drinks in healthy adults</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Reed</surname> <given-names>Emma L.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2040502/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Worley</surname> <given-names>Morgan L.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1145205/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Kueck</surname> <given-names>Paul J.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2121842/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Pietrafasa</surname> <given-names>Leonard D.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Schlader</surname> <given-names>Zachary J.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/267673/overview"/>
</contrib> 
<contrib contrib-type="author" corresp="yes">
<name><surname>Johnson</surname> <given-names>Blair D.</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>&#x0002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/414597/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Human Integrative Physiology Lab, Department of Exercise and Nutrition Sciences, University at Buffalo</institution>, <addr-line>Buffalo, NY</addr-line>, <country>United States</country></aff>
<aff id="aff2"><sup>2</sup><institution>H.H. Morris Human Performance Laboratories, Department of Kinesiology, Indiana University</institution>, <addr-line>Bloomington, IN</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Kenichi Yamada, Hayakawa Children&#x02019;s Clinic, Japan</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Chrysi Bogiatzi, McMaster University, Canada; Manabu Shibasaki, Nara Women&#x02019;s University, Japan; Christopher R. Martens, University of Delaware, United States</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Blair D. Johnson <email>bj33&#x00040;indiana.edu</email></corresp>
<fn fn-type="other" id="fn001"><p><bold>Specialty section</bold> This article was submitted to Brain Health and Clinical Neuroscience, a section of the journal Frontiers in Human Neuroscience</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>12</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>16</volume>
<elocation-id>1063273</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>11</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Reed, Worley, Kueck, Pietrafasa, Schlader and Johnson.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Reed, Worley, Kueck, Pietrafasa, Schlader and Johnson</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><p>Chronic consumption of sugar- and artificially-sweetened beverages (SSB and ASB) are associated with an increased risk of stroke but it is unclear how acute consumption influences cerebral vascular function.</p>
<p><bold>Purpose:</bold> We hypothesized that: (1) acute consumption of SSB and ASB would augment dynamic cerebral autoregulation (dCA) and attenuate cerebral vascular reactivity to hypercapnia (CVR<sub>CO2</sub>) compared to water; and (2) dCA and CVR<sub>CO2</sub> would be attenuated with SSB compared to ASB and water.</p>
<p><bold>Methods:</bold> Twelve healthy adults (age: 23 &#x000B1; 2 years, four females) completed three randomized trials where they drank 500 ml of water, SSB (Mountain Dew<sup>&#x000AE;</sup>), or ASB (Diet Mountain Dew<sup>&#x000AE;</sup>). We measured mean arterial pressure (MAP), middle and posterior cerebral artery blood velocities (MCAv and PCAv), and end-tidal CO<sub>2</sub> tension (PETCO<sub>2</sub>). Cerebral vascular conductance was calculated as cerebral artery blood velocity/MAP (MCAc and PCAc). Twenty min after consumption, participants completed a 5 min baseline, and in a counterbalanced order, a CVR<sub>CO2</sub> test (3%, 5%, and 7% CO<sub>2</sub> in 3 min stages) and a dCA test (squat-stand tests at 0.10 Hz and 0.05 Hz for 5 min each) separated by 10 min. CVR<sub>CO2</sub> was calculated as the slope of the linear regression lines of MCAv and PCAv vs. PETCO<sub>2</sub>. dCA was assessed in the MCA using transfer function analysis. Coherence, gain, and phase were determined in the low frequency (LF; 0.07&#x02013;0.2 Hz) and very low frequency (VLF; 0.02&#x02013;0.07 Hz).</p>
<p><bold>Results:</bold> MCAv and MCAc were lower after SSB (54.11 &#x000B1; 12.28 cm/s, 0.58 &#x000B1; 0.15 cm/s/mmHg) and ASB (51.07 &#x000B1; 9.35 cm/s, 0.52 &#x000B1; 1.0 cm/s/mmHg) vs. water (62.73 &#x000B1; 12.96 cm/s, 0.67 &#x000B1; 0.11 cm/s/mmHg; all <italic>P</italic> &#x0003C; 0.035), respectively. PCAc was also lower with the ASB compared to water (<italic>P</italic> = 0.007). MCA CVR<sub>CO2</sub> was lower following ASB (1.55 &#x000B1; 0.38 cm/s/mmHg) vs. water (2.00 &#x000B1; 0.57 cm/s/mmHg; <italic>P</italic> = 0.011) but not after SSB (1.90 &#x000B1; 0.67 cm/s/mmHg; <italic>P</italic> = 0.593). PCA CVR<sub>CO2</sub> did not differ between beverages (<italic>P</italic> > 0.853). There were no differences between beverages for coherence (<italic>P</italic> &#x02265; 0.295), gain (<italic>P</italic> &#x02265; 0.058), or phase (<italic>P</italic> &#x02265; 0.084) for either frequency.</p>
<p><bold>Discussion:</bold> Acute consumption of caffeinated SSB and ASB resulted in lower intracranial artery blood velocity and conductance but had a minimal effect on cerebral vascular function as only MCA CVR<sub>CO2</sub> was altered with the ASB compared to water.</p></abstract>
<kwd-group>
<kwd>autoregulation</kwd>
<kwd>reactivity</kwd>
<kwd>cerebral blood velocity</kwd>
<kwd>cerebral vascular conductance</kwd>
<kwd>blood pressure</kwd>
<kwd>sweetened beverage</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="71"/>
<page-count count="15"/>
<word-count count="11413"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>In the United States, 63% of adults self-reported consuming sugar-sweetened beverages (SSB) daily (Chevinsky et al., <xref ref-type="bibr" rid="B12">2021</xref>). Chronic consumption of SSB is associated with an increased risk of hypertension (Kim and Je, <xref ref-type="bibr" rid="B37">2016</xref>; Malik and Hu, <xref ref-type="bibr" rid="B43">2019</xref>), type 2 diabetes (Imamura et al., <xref ref-type="bibr" rid="B32">2015</xref>), and stroke (Bernstein et al., <xref ref-type="bibr" rid="B4">2012</xref>; Narain et al., <xref ref-type="bibr" rid="B47">2016</xref>; Pacheco et al., <xref ref-type="bibr" rid="B50">2020</xref>). Moreover, many individuals consume artificially sweetened beverages (ASB) to lower caloric intake and for disease management (Fitch and Keim, <xref ref-type="bibr" rid="B23">2012</xref>; Gardner et al., <xref ref-type="bibr" rid="B25">2012</xref>). As such, approximately 20% of adults in the United States consume ASB daily (Fakhouri et al., <xref ref-type="bibr" rid="B21">2012</xref>). However, daily consumption of ASB has been associated with an increased risk of stroke and dementia (Pase et al., <xref ref-type="bibr" rid="B52">2017</xref>). Additionally, caffeine is common in SSB, ASB, and other beverages such as coffee and tea (Chou and Bell, <xref ref-type="bibr" rid="B13">2007</xref>; Reyes and Cornelis, <xref ref-type="bibr" rid="B56">2018</xref>). Regular consumption of caffeinated coffee is associated with a reduced risk of stroke (Larsson and Orsini, <xref ref-type="bibr" rid="B39">2011</xref>). Thus, it is likely the ingredients that are unique to caffeinated coffee reduce stroke risk. Nevertheless, the consumption of SSB or ASB is associated with an increased risk of diseases associated with poor cerebral vascular function but very little is known about the acute cerebral vascular effects following the ingestion of these beverages.</p>
<p>The most common sweeteners in SSB are high-fructose corn syrup (HFCS; &#x0007E;60% fructose, &#x0007E;40% glucose) or sucrose (50% fructose, 50% glucose). HFCS consumption increases free fructose in the circulation which might contribute to the negative health outcomes associated with HFCS consumption (Le et al., <xref ref-type="bibr" rid="B40">2012</xref>). The most common sweeteners in ASB are sucralose and aspartame. There is some evidence that these constituents of SSB and ASB can acutely affect hemodynamics and/or peripheral vascular function. The acute consumption of an HFCS beverage, but not a sucrose-sweetened beverage, elevated peak post-consumption systolic blood pressure, renal vascular resistance, and serum uric acid (Le et al., <xref ref-type="bibr" rid="B40">2012</xref>; Chapman et al., <xref ref-type="bibr" rid="B10">2020</xref>). The acute consumption of fructose alone results in elevated blood pressure and plasma levels of norepinephrine in humans (Jansen et al., <xref ref-type="bibr" rid="B33">1987</xref>; Brown et al., <xref ref-type="bibr" rid="B7">2008</xref>; Grasser et al., <xref ref-type="bibr" rid="B27">2014</xref>). Additionally, there is a reduction in endothelial nitric oxide synthase expression in aortic endothelial cells exposed to fructose (Glushakova et al., <xref ref-type="bibr" rid="B26">2008</xref>). Whereas, oral consumption, intraduodenal infusions, or cultured vascular cells exposed to artificial sweeteners, such as sucralose and aspartame, do not appear to acutely influence blood pressure or endothelial cell function (Memon et al., <xref ref-type="bibr" rid="B46">2014</xref>; Pham et al., <xref ref-type="bibr" rid="B53">2018</xref>; Schiano et al., <xref ref-type="bibr" rid="B59">2020</xref>). However, there is evidence that 10 weeks of consuming artificial sweeteners (sucralose and acesulfame potassium) reduces acetylcholine-induced endothelium-dependent vasodilation in rodent aortas (Risdon et al., <xref ref-type="bibr" rid="B57">2020</xref>). Caffeine is also a common ingredient in SSB and ASB that might influence cerebral vascular function. Caffeine is an adenosine receptor antagonist and inhibits vasodilation (Cameron et al., <xref ref-type="bibr" rid="B9">1990</xref>; Coney and Marshall, <xref ref-type="bibr" rid="B17">1998</xref>; Phillis and O&#x02019;Regan, <xref ref-type="bibr" rid="B55">2003</xref>). Specific to the cerebral vasculature, coffee ingestion reduces intracranial artery blood velocity and improves cerebral autoregulation (Sasaki et al., <xref ref-type="bibr" rid="B58">2016</xref>). Although there is evidence for changes in peripheral vasculature with acute consumption, it is still unclear whether acute consumption of caffeinated beverages with different sweeteners (HFCS and artificial sweeteners) influences cerebral vascular function.</p>
<p>Cerebral vascular function, quantified by dynamic cerebral autoregulation and cerebral vascular reactivity, is vital to maintain cerebral blood flow during changes in arterial blood pressure, arterial blood gases, local metabolism, and alterations in autonomic nervous system activation (Willie et al., <xref ref-type="bibr" rid="B66">2014</xref>). Arterial blood pressure fluctuations can occur during common activities of daily living such as moving from a seated to a standing position. Inadequate maintenance of cerebral blood flow during postural changes can result in light-headedness, dizziness, and in some cases syncope (e.g., orthostatic hypotension). Cerebral autoregulation and cerebral vascular reactivity to carbon dioxide are both modulated by local vascular factors (i.e., nitric oxide), myogenic responses, and autonomic innervation (Schmetterer et al., <xref ref-type="bibr" rid="B60">1997</xref>; Zhang et al., <xref ref-type="bibr" rid="B69">2002</xref>; Toda et al., <xref ref-type="bibr" rid="B62">2009</xref>; Hamner et al., <xref ref-type="bibr" rid="B28">2010</xref>). However, it is unknown if the acute consumption of SSB and/or ASB influence cerebral vascular function and the maintenance of cerebral blood flow during orthostatic challenges. Along these lines, cerebral vascular reactivity is the cerebral blood flow/velocity response to changes in the partial pressure of arterial blood gases, such as carbon dioxide (Kety and Schmidt, <xref ref-type="bibr" rid="B35">1948</xref>; Hoiland et al., <xref ref-type="bibr" rid="B29">2019</xref>) but it is currently not known how cerebral vascular reactivity is affected by the acute consumption of SSB and ASB.</p>
<p>Therefore, we investigated dynamic cerebral autoregulation and cerebral vascular reactivity to hypercapnia in healthy adults following the acute consumption of an SSB, an ASB, and water. Our first aim was to investigate the effects of commercially available caffeinated sugar- and artificially-sweetened soft drinks on cerebral vascular function. We hypothesized that the acute consumption of SSB and ASB would augment dynamic cerebral autoregulation and attenuate cerebral vascular reactivity to hypercapnia compared to water due to the effects of caffeine. Our second aim was to examine the effects of different sweeteners in commercially available caffeinated soft drinks on cerebral vascular function. Because our SSB contained HFCS, we hypothesized that the acute consumption of an SSB would attenuate dynamic cerebral autoregulation and cerebral vascular reactivity to hypercapnia compared to acute consumption of an ASB and water.</p>
</sec>
<sec id="s2">
<title>2 Materials and Methods</title>
<p>Twelve participants (age: 23 &#x000B1; 2 years, height: 171 &#x000B1; 10 cm, weight: 72 &#x000B1; 11 kg; body mass index: 24 &#x000B1; 3 kg/m<sup>2</sup>; four females) volunteered for the study. All participants self-reported to be free of cardiovascular, respiratory, metabolic, and neurological disorders and were regularly physically active. Female participants were tested within 10 days of the start of their self-reported menstrual cycle and were not pregnant (confirmed by a urine pregnancy test at the beginning of each study visit). All study visits were scheduled with at least 24 h between visits and started within the same hour of the day to account for any potential circadian variations. The study involving human participants was reviewed and approved by the Institutional Review Board of the University at Buffalo. The participants provided written informed consent to participate in the study. The study was performed in accordance with the latest revision of the Declaration of Helsinki with the omission of registration in a database.</p>
<sec id="s2-1">
<title>2.1 Experimental design</title>
<p>Participants completed three study visits that were identical with the exception of the beverage that was consumed (<xref ref-type="fig" rid="F1">Figure 1A</xref>). During the visits, participants consumed 500 ml (16 oz) of the experimental beverage: water, an SSB (Mountain Dew<sup>&#x000AE;</sup>, PepsiCo, Purchase, NY), or an ASB (Diet Mountain Dew<sup>&#x000AE;</sup>, PepsiCo, Purchase, NY) beverage in a randomized study design. This volume for the experimental beverages was chosen as 500 ml (16 oz) is the size of one standard bottle of commercially available soft drinks. Participants and researchers were blinded to the soft-drink beverages, however, it was not possible to blind participants to the water condition due to the lack of flavor. To avoid any potential effect of carbonation, the soft drinks were decarbonated 48 h prior to consumption by being stored in a wide-mouth bottle loosely covered to prevent contamination. Each study visit had two different tests to assess cerebrovascular function; a three-stage hypercapnic breathing test to assess cerebral vascular reactivity to hypercapnia and squat-to-stand tests performed at two different frequencies to assess dynamic cerebral autoregulation. The order of the tests within the study visits was counterbalanced among the participants. We selected Mountain Dew<sup>&#x000AE;</sup> as the SSB because it has one of the highest sugar contents for beverages sweetened with HFCS (&#x0007E;36 g of fructose and &#x0007E;25 g of glucose; Walker et al., <xref ref-type="bibr" rid="B63">2014</xref>) of commercially available soft drinks. We selected ASB Mountain Dew<sup>&#x000AE;</sup> as the ASB to match for flavor and caffeine content (76 mg). In our prior work, we identified that the acute consumption of these beverages influences the renal vasculature (Chapman et al., <xref ref-type="bibr" rid="B10">2020</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Experimental study visits timeline <bold>(A)</bold> where the experimental drinks were randomized and the order of cerebral vascular function tests was randomized and counterbalanced. The example tracings of mean arterial pressure (blue), middle cerebral artery blood velocity (green), end-tidal carbon dioxide (red), and posterior cerebral artery blood velocity (magenta) for squat-to-stand at 0.10 Hz <bold>(B)</bold>, squat-to-stand at 0.05 Hz <bold>(C)</bold>, and cerebral vascular reactivity to hypercapnia <bold>(D)</bold> tests. ASB, artificially-sweetened beverage; SSB, sugar-sweetened beverage.</p></caption>
<graphic xlink:href="fnhum-16-1063273-g0001.tif"/>
</fig>
</sec>
<sec id="s2-2">
<title>2.2 Experimental protocol</title>
<p>Participants arrived at the temperature-controlled laboratory (water: 24 &#x000B1; 2&#x000B0;C, 30 &#x000B1; 6% relative humidity; SSB: 24 &#x000B1; 2&#x000B0;C, 29 &#x000B1; 9% relative humidity; ASB: 24 &#x000B1; 3&#x000B0;C, 27 &#x000B1; 5% relative humidity) having refrained from exercise, alcohol, and caffeine for 12 h, and food for 2 h. Participants voided their bladders to provide a urine sample to confirm euhydration (urine specific gravity &#x0003C; 1.020; American College of Sports et al., <xref ref-type="bibr" rid="B1">2007</xref>), and nude body weight was measured in a private room. Participants consumed 250 ml of water and rested in a seated position for 60 min during instrumentation. After this period, participants voided their bladders and then consumed 500 ml of the experimental beverage (SSB, ASB, or water) within a 5-min period. Participants remained seated for an additional 20 min after beverage consumption. This was followed by a 5-min baseline, the first cerebrovascular function test (cerebral vascular reactivity to hypercapnia or dynamic cerebral autoregulation), 10 min of quiet rest, and finally the second cerebrovascular function test (cerebral vascular reactivity to hypercapnia or dynamic cerebral autoregulation). Dynamic cerebral autoregulation (dCA) was assessed using two 5 min squat-to-stand tests at 0.10 Hz (<xref ref-type="fig" rid="F1">Figure 1B</xref>) and 0.05 Hz (<xref ref-type="fig" rid="F1">Figure 1C</xref>) to induce oscillatory fluctuations in blood pressure (Birch et al., <xref ref-type="bibr" rid="B5">1995</xref>; Zhang et al., <xref ref-type="bibr" rid="B68">1998</xref>; Claassen et al., <xref ref-type="bibr" rid="B14">2009</xref>; Smirl et al., <xref ref-type="bibr" rid="B61">2015</xref>) with a 5 min break between squat-to-stand tests. Participants were instructed to squat and stand to a metronome and squat to the level of a chair without touching the chair to ensure consistent squat depth within and between trials. The cerebral vascular reactivity to hypercapnia (CVR<sub>CO2</sub>) test was performed using 3-min stages breathing 3% CO<sub>2</sub>, 5% CO<sub>2</sub>, and 7% CO<sub>2</sub> (all gases contained 21% O<sub>2</sub> balanced with N<sub>2</sub>; <xref ref-type="fig" rid="F1">Figure 1D</xref>).</p>
</sec>
<sec id="s2-3">
<title>2.3 Instrumentation and measurements</title>
<p>Height and body weight were measured with a stadiometer and electronic scale (Sartorius, Bohemia, NY). Urine specific gravity (USG) was measured with a refractometer (Atago, Bellevue, WA). Heart rate was continuously measured <italic>via</italic> a 3-lead electrocardiogram (250 Hz; DAC100C, Biopac Systems, Goleta, CA). Beat-to-beat mean arterial pressure was measured <italic>via</italic> the Penaz method (62.5 Hz; Finometer Pro, FMS, Amsterdam, Netherlands) and intermittently confirmed <italic>via</italic> electrosphygmomanometry of the brachial artery (Tango M2; SunTech, Raleigh, NC). From the blood pressure waveform, stroke volume was estimated <italic>via</italic> Modelflow (Wesseling et al., <xref ref-type="bibr" rid="B64">1993</xref>). Cerebral blood velocities of the left middle cerebral artery (MCAv) and right posterior cerebral artery (PCAv) were measured simultaneously using 2 MHz transcranial Doppler ultrasound probes (1 kHz; DWL Compumedics, Germany) through the left and right temporal windows, respectively. The depth and gain for both intracranial arteries were recorded at the first study visit and these settings were used for the remaining study visits. The partial pressure of end-tidal carbon dioxide tension (PETCO<sub>2</sub>) was measured with capnography (62.5 Hz; Nonin Medical, Plymouth, MN).</p>
</sec>
<sec id="s2-4">
<title>2.4 Data and statistical analyses</title>
<p>All data were sampled continuously <italic>via</italic> a data acquisition system (Biopac MP150, Goleta, CA). The mean data of the last 2 min of the 5-min rest period were used as the post-consumption baseline values. dCA was assessed using transfer function analysis (WinCPRS, Absolute Aliens Oy, Turku, Finland) of the beat-to-beat blood pressure (input signal) and the MCAv (output signal) in two frequency domains (Zhang et al., <xref ref-type="bibr" rid="B68">1998</xref>) during each squat-to-stand frequency. The posterior cerebral artery was not analyzed due to the number of data points that had to be excluded due to some noise in the waveforms that made transfer function analysis uninterpretable (Claassen et al., <xref ref-type="bibr" rid="B15">2016</xref>). The 0.10 Hz squat-to-stand was analyzed in the LF (0.07&#x02013;0.2 Hz) and the 0.05 Hz squat-to-stand was analyzed in the VLF (0.02&#x02013;0.07 Hz) to match the operant ranges of cerebral autoregulation (Claassen et al., <xref ref-type="bibr" rid="B14">2009</xref>). Transfer gain reflects the magnitude and phase reflects the time delay between arterial blood pressure (input signal) and cerebral blood velocity (output signal). Negative phase values were excluded in both frequency bands due to the &#x0201C;wrap around&#x0201D; effect. Coherence values reflect the linearity between arterial blood pressure and cerebral blood velocity where values closer to 1 represent a more linear relation. An improvement in cerebral autoregulation is marked by a decrease in gain and an increase in phase indicating a buffering of arterial blood pressure in the cerebral vasculature (Claassen et al., <xref ref-type="bibr" rid="B15">2016</xref>). The mean of the 5-min squat-to-stand protocol for both frequencies for each physiological variable was calculated and shown as mean &#x000B1; standard deviation (<xref ref-type="table" rid="T2">Table 2</xref> and <xref ref-type="fig" rid="F4">Figure 4</xref>). CVR<sub>CO2</sub> in the MCA and PCA were calculated as the slope of the linear regression analysis of peak PETCO<sub>2</sub> to the average MCAv or PCAv (Xie et al., <xref ref-type="bibr" rid="B67">2006</xref>), respectively, for every 30 s of the breathing test for all three %CO<sub>2</sub> (Barnes et al., <xref ref-type="bibr" rid="B2">2012</xref>, <xref ref-type="bibr" rid="B3">2013</xref>). CVR<sub>CO2</sub> is used as an index of cerebral nitric oxide bioavailability. However, nitric oxide is not the only endothelial-derived response that contributes to the increases in blood flow during hypercapnia (Iadecola and Zhang, <xref ref-type="bibr" rid="B30">1994</xref>; Schmetterer et al., <xref ref-type="bibr" rid="B60">1997</xref>). Hyperpolarization of endothelial cells due to the activation of voltage-gated potassium channels also contributes to vascular relaxation thus increasing blood flow (Kitazono et al., <xref ref-type="bibr" rid="B38">1995</xref>; Nelson and Quayle, <xref ref-type="bibr" rid="B48">1995</xref>). The mean of the 30 s intervals for each 3-min stage of the hypercapnia breathing test for each physiological variable was calculated (<xref ref-type="table" rid="T2">Table 2</xref> and <xref ref-type="fig" rid="F6">Figure 6</xref>). Cardiac output was calculated as the product of stroke volume and heart rate and total peripheral resistance was calculated as the quotient of mean arterial pressure and cardiac output. Cerebral vascular conductance, an indirect quantification of arterial vasomotor tone, was calculated as the quotient of cerebral artery blood velocity and mean arterial pressure for both the MCA and PCA.</p>
<p>Data were analyzed using Prism software (Version 9, GraphPad Software, La Jolla, CA). Post-consumption baseline, dynamic cerebral autoregulation, and cerebral vascular reactivity values were analyzed using one-way mixed-effects models. Baseline values during the cerebral vascular reactivity test were analyzed with a two-way mixed-effects model for time (inhaled %CO<sub>2</sub>) &#x000D7; condition (drink). If a significant interaction or main effect was found, we used the <italic>post-hoc</italic> Holm-Sidak multiple comparisons test to determine where differences existed, and <italic>P</italic>-values are reported where possible. Data are reported as mean &#x000B1; standard deviation and comparisons were considered significantly different if <italic>P</italic> &#x0003C; 0.050.</p>
<table-wrap id="T1" position="float">
<label>Table 1</label>
<caption><p>Seated baseline cardiovascular and end-tidal carbon dioxide values 20 min after consuming each experimental beverage.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<td/>
<th align="center" colspan="5">Post-Consumption Baseline</th>
</tr>
<tr>
<th align="left">Variable</th>
<th align="left">Water</th>
<th align="left">ASB</th>
<th align="left">SSB</th>
<th align="left">Mixed Effects Model <italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Heart Rate (bpm)</td>
<td align="center">64 &#x000B1; 7</td>
<td align="center">65 &#x000B1; 8</td>
<td align="center">67 &#x000B1; 9<sup>W</sup></td>
<td align="center">0.039</td>
</tr>
<tr>
<td align="left">Mean arterial pressure (mmHg)</td>
<td align="center">95 &#x000B1; 13</td>
<td align="center">99 &#x000B1; 12</td>
<td align="center">95 &#x000B1; 11</td>
<td align="center">0.298</td>
</tr>
<tr>
<td align="left">Systolic blood pressure (mmHg)</td>
<td align="center">128 &#x000B1; 18</td>
<td align="center">131 &#x000B1; 14</td>
<td align="center">131 &#x000B1; 15</td>
<td align="center">0.702</td>
</tr>
<tr>
<td align="left">Diastolic blood pressure (mmHg)</td>
<td align="center">72 &#x000B1; 11</td>
<td align="center">77 &#x000B1; 11</td>
<td align="center">77 &#x000B1; 9</td>
<td align="center">0.253</td>
</tr>
<tr>
<td align="left">Stroke volume (ml)</td>
<td align="center">89 &#x000B1; 19<sup>&#x02227;</sup></td>
<td align="center">82 &#x000B1; 18</td>
<td align="center">93 &#x000B1; 12</td>
<td align="center">0.195</td>
</tr>
<tr>
<td align="left">Cardiac output (L/min)</td>
<td align="center">5.7 &#x000B1; 1.4<sup>&#x02227;</sup></td>
<td align="center">5.3 &#x000B1; 1.5</td>
<td align="center">6.2 &#x000B1; 1.0</td>
<td align="center">0.129</td>
</tr>
<tr>
<td align="left">Total peripheral resistance (mmHg/L/min)</td>
<td align="center">16.7 &#x000B1; 5.4<sup>&#x02227;</sup></td>
<td align="center">18.6 &#x000B1; 5.8<sup>&#x02227;</sup></td>
<td align="center">15.6 &#x000B1; 2.7</td>
<td align="center">0.204</td>
</tr>
<tr>
<td align="left">End-tidal carbon dioxide (mmHg)</td>
<td align="center">44 &#x000B1; 3</td>
<td align="center">42 &#x000B1; 2</td>
<td align="center">43 &#x000B1; 2</td>
<td align="center">0.037</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Data are reported as mean &#x000B1; standard deviation (<italic>n</italic> = 12, 4 females, <sup>&#x02227;</sup><italic>n</italic> = 11, 3 females). Mixed effects models were used to compare data between conditions. If a mixed effects model revealed a significant effect a <italic>post-hoc</italic> Holm-Sidak multiple comparisons test was used to determine where differences existed. <sup>W</sup>Different from Water (<italic>p</italic> &#x0003C; 0.050); ASB, artificially-sweetened beverage; SSB, sugar-sweetened beverage</italic>.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float">
<label>Table 2</label>
<caption><p>Cardiovascular responses during each stage of the cerebral vascular reactivity to hypercapnia test and each squat-to-stand frequency of the dynamic cerebral autoregulation tests.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left">Test</th>
<th align="left">Variable</th>
<th align="left">Stage</th>
<th align="left">Water</th>
<th align="left">ASB</th>
<th align="left">SSB</th>
<th align="left">Time</th>
<th align="left">Drink</th>
<th align="left">Time &#x000D7; Drink</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left"><bold>Cerebral Vascular Reactivity to Hypercapnia (CVR<sub>CO2</sub>)</bold></td>
<td align="center"><bold>Heart Rate (bpm)</bold></td>
<td align="center">3% CO<sub>2</sub></td>
<td align="center">67 &#x000B1; 9<sup>B</sup></td>
<td align="center">68 &#x000B1; 9<sup>B</sup></td>
<td align="center">72 &#x000B1; 8<sup>WS</sup></td>
<td align="center">&#x0003C;0.001</td>
<td align="center">0.009</td>
<td align="center">0.083</td>
</tr>
<tr>
<td/>
<td/>
<td align="center">5% CO<sub>2</sub></td>
<td align="center">70 &#x000B1; 9<sup>B</sup></td>
<td align="center">71 &#x000B1; 10<sup>B</sup></td>
<td align="center">76 &#x000B1; 8<sup>BWS</sup></td>
<td/>
<td/>
<td align="center"></td>
</tr>
<tr>
<td/>
<td/>
<td align="center">7% CO<sub>2</sub></td>
<td align="center">75 &#x000B1; 10<sup>B</sup></td>
<td align="center">73 &#x000B1; 10<sup>B</sup></td>
<td align="center">78 &#x000B1; 9<sup>BS</sup></td>
<td/>
<td/>
<td align="center"></td>
</tr>
<tr>
<td/>
<td align="center"><bold>Stroke Volume (ml)</bold></td>
<td align="center">3% CO<sub>2</sub></td>
<td align="center">88 &#x000B1; 23</td>
<td align="center">86 &#x000B1; 17</td>
<td align="center">91 &#x000B1; 11</td>
<td align="center">0.246</td>
<td align="center">0.518</td>
<td align="center">0.284</td>
</tr>
<tr>
<td/>
<td/>
<td align="center">5% CO<sub>2</sub></td>
<td align="center">90 &#x000B1; 24</td>
<td align="center">88 &#x000B1; 17</td>
<td align="center">91 &#x000B1; 11</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td align="center">7% CO<sub>2</sub></td>
<td align="center">96 &#x000B1; 23</td>
<td align="center">89 &#x000B1; 17</td>
<td align="center">94 &#x000B1; 11</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="center"><bold>Cardiac Output (L/min)</bold></td>
<td align="center">3% CO<sub>2</sub></td>
<td align="center">6.1 &#x000B1; 2.0</td>
<td align="center">5.8 &#x000B1; 1.4<sup>B</sup></td>
<td align="center">6.6 &#x000B1; 1.1</td>
<td align="center">0.012</td>
<td align="center">0.208</td>
<td align="center">0.294</td>
</tr>
<tr>
<td/>
<td/>
<td align="center">5% CO<sub>2</sub></td>
<td align="center">6.6 &#x000B1; 2.2<sup>B</sup></td>
<td align="center">6.2 &#x000B1; 1.3<sup>B</sup></td>
<td align="center">7.0 &#x000B1; 1.3<sup>B</sup></td>
<td/>
<td/>
<td align="center"></td>
</tr>
<tr>
<td/>
<td/>
<td align="center">7% CO<sub>2</sub></td>
<td align="center">7.4 &#x000B1; 2.4<sup>B</sup></td>
<td align="center">6.5 &#x000B1; 1.5<sup>B</sup></td>
<td align="center">7.3 &#x000B1; 1.3<sup>B</sup></td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="center"><bold>Total Peripheral Resistance (mmHg/L/min)</bold></td>
<td align="center">3% CO<sub>2</sub></td>
<td align="center">16.7 &#x000B1; 5.5</td>
<td align="center">18.7 &#x000B1; 6.90</td>
<td align="center">15.1 &#x000B1; 2.9</td>
<td align="center">0.167</td>
<td align="center">0.119</td>
<td align="center">0.475</td>
</tr>
<tr>
<td/>
<td/>
<td align="center">5% CO<sub>2</sub></td>
<td align="center">16.2 &#x000B1; 5.5<sup>B</sup></td>
<td align="center">17.9 &#x000B1; 6.3</td>
<td align="center">14.9 &#x000B1; 2.9</td>
<td/>
<td/>
<td align="center"></td>
</tr>
<tr>
<td/>
<td/>
<td align="center">7% CO<sub>2</sub></td>
<td align="center">14.9 &#x000B1; 5.4<sup>B</sup></td>
<td align="center">17.8 &#x000B1; 6.3</td>
<td align="center">15.0 &#x000B1; 3.1</td>
<td/>
<td/>
<td align="center"></td>
</tr>
<tr>
<td align="left"><bold>Dynamic Cerebral Autoregulation (dCA)</bold></td>
<td align="center"><bold>Heart Rate (bpm)</bold></td>
<td align="center">0.10 Hz</td>
<td align="center">82 &#x000B1; 7<sup>B</sup></td>
<td align="center">82 &#x000B1; 7<sup>B</sup></td>
<td align="center">86 &#x000B1; 7<sup>BWS</sup></td>
<td align="center">-</td>
<td align="center">0.006</td>
<td align="center">-</td>
</tr>
<tr>
<td/>
<td/>
<td align="center">0.05 Hz</td>
<td align="center">82 &#x000B1; 7<sup>B</sup></td>
<td align="center">84 &#x000B1; 8<sup>B</sup></td>
<td align="center">87 &#x000B1; 7<sup>BS</sup></td>
<td align="center">-</td>
<td align="center">0.012</td>
<td align="center">-</td>
</tr>
<tr>
<td/>
<td align="center"><bold>Stroke Volume (ml)</bold></td>
<td align="center">0.10 Hz</td>
<td align="center">109 &#x000B1; 19<sup>B</sup></td>
<td align="center">97 &#x000B1; 15<sup>B</sup></td>
<td align="center">105 &#x000B1; 15<sup>B</sup></td>
<td align="center">-</td>
<td align="center">0.094</td>
<td align="center">-</td>
</tr>
<tr>
<td/>
<td/>
<td align="center">0.05 Hz</td>
<td align="center">100 &#x000B1; 15</td>
<td align="center">92 &#x000B1; 18<sup>B</sup></td>
<td align="center">98 &#x000B1; 11<sup>B</sup></td>
<td align="center">-</td>
<td align="center">0.272</td>
<td align="center">-</td>
</tr>
<tr>
<td/>
<td align="center"><bold>Cardiac Output (L/min)</bold></td>
<td align="center">0.10 Hz</td>
<td align="center">9.1 &#x000B1; 8.0<sup>B</sup></td>
<td align="center">7.0 &#x000B1; 8.8<sup>B</sup></td>
<td align="center">8.1 &#x000B1; 9.9<sup>BS</sup></td>
<td align="center">-</td>
<td align="center">0.031</td>
<td align="center">-</td>
</tr>
<tr>
<td/>
<td/>
<td align="center">0.05 Hz</td>
<td align="center">7.7 &#x000B1; 1.7<sup>B</sup></td>
<td align="center">7.6 &#x000B1; 1.7<sup>B</sup></td>
<td align="center">8.5 &#x000B1; 1.9<sup>BS</sup></td>
<td align="center">-</td>
<td align="center">0.152</td>
<td align="center">-</td>
</tr>
<tr>
<td/>
<td align="center"><bold>Total Peripheral Resistance (mmHg/L/min)</bold></td>
<td align="center">0.10 Hz</td>
<td align="center">11.3 &#x000B1; 2.7<sup>B</sup></td>
<td align="center">13.7 &#x000B1; 3.9<sup>B</sup></td>
<td align="center">11.8 &#x000B1; 2.5<sup>B</sup></td>
<td align="center">-</td>
<td align="center">0.069</td>
<td align="center">-</td>
</tr>
<tr>
<td/>
<td/>
<td align="center">0.05 Hz</td>
<td align="center">12.1 &#x000B1; 2.5<sup>B</sup></td>
<td align="center">14.7 &#x000B1; 5.6<sup>B</sup></td>
<td align="center">11.8 &#x000B1; 1.9<sup>B</sup></td>
<td align="center">-</td>
<td align="center">0.084</td>
<td align="center">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Data obtained from the cerebral vascular reactivity to the hypercapnia test were compared using mixed effects models. Data acquired during dynamic cerebral autoregulation tests were compared using mixed effects models for each frequency. Mixed effects models were used to compare data between conditions. If a mixed effects model revealed a significant effect, a <italic>post-hoc</italic> Holm-Sidak multiple comparisons test was used to determine where differences existed. Values are reported as mean &#x000B1; standard deviation. <sup>B</sup>Different from baseline (<italic>P</italic> &#x0003C; 0.05); <sup>W</sup>Different from Water (<italic>P</italic> &#x0003C; 0.050); <sup>S</sup>Different between soft drinks (<italic>P</italic> &#x0003C; 0.050); ASB, artificially-sweetened beverage; SSB, sugar-sweetened beverage</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s3">
<title>3 Results</title>
<p>There were no differences (<italic>P</italic> = 0.798) in pre-consumption USG among the water (1.009 &#x000B1; 0.007), SSB (1.008 &#x000B1; 0.006), and ASB (1.008 &#x000B1; 0.006) study visits. At the post-consumption baseline (<xref ref-type="table" rid="T1">Table 1</xref>), heart rate was higher after SSB (<italic>P</italic> = 0.047) compared to water. MCAv (<xref ref-type="fig" rid="F2">Figure 2A</xref>; both <italic>P</italic> &#x0003C; 0.002) and MCAc (<xref ref-type="fig" rid="F2">Figure 2B</xref>; <italic>P</italic> &#x0003C; 0.041) were lower after SSB and ASB compared to water. MCAc was also lower after ASB compared to SSB (<xref ref-type="fig" rid="F2">Figure 2B</xref>; <italic>P</italic> = 0.035). PCAc (<xref ref-type="fig" rid="F2">Figure 2D</xref>) was lower after ASB compared to water (<italic>P</italic> = 0.007). The mixed effects model analyses revealed a significant effect for PCAv (<xref ref-type="fig" rid="F2">Figure 2C</xref>; <italic>P</italic> = 0.031) and PETCO<sub>2</sub> (<xref ref-type="table" rid="T1">Table 1</xref>; <italic>P</italic> = 0.037), however, no multiple comparisons were significant (<italic>P</italic> > 0.071). There were no differences in mean arterial pressure, stroke volume, cardiac output, or total peripheral resistance between conditions at post-consumption baseline (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Seated baseline values 20 min after consuming each experimental beverage for middle cerebral artery blood velocity <bold>(A)</bold>, middle cerebral artery vascular conductance <bold>(B)</bold>, posterior cerebral artery blood velocity <bold>(C)</bold>, and posterior cerebral artery vascular conductance <bold>(D)</bold>. Data are reported as mean &#x000B1; standard deviation. Mixed effects models were used to compare data between conditions. If a mixed effects model revealed a significant effect, a <italic>post-hoc</italic> Holm-Sidak multiple comparisons test was used to determine where differences existed. <italic>n</italic> = 12, four females unless otherwise noted. Missing data occurred due to the loss of signal and/or inability to obtain a quality signal while maintaining the same depth and/or gain with the transcranial Doppler signal. <sup>W</sup>Different from Water (<italic>P</italic> &#x0003C; 0.050); <sup>S</sup>Different between soft drinks (<italic>P</italic> &#x0003C; 0.050); ASB, artificially-sweetened beverage; SSB, sugar-sweetened beverage.</p></caption>
<graphic xlink:href="fnhum-16-1063273-g0002.tif"/>
</fig>
<sec id="s3-1">
<title>3.1 Dynamic cerebral autoregulation (dCA)</title>
<p>The condition effect for gain, phase and coherence were not different for both squat-to-stand frequencies (<italic>P</italic> &#x02265; 0.058; <xref ref-type="fig" rid="F3">Figures 3A&#x02013;C</xref>). The mean responses for mean arterial pressure, PETCO<sub>2</sub>, MCAv, MCAc, PCAv, and PCAc during the 0.10 Hz and 0.05 Hz squat-to-stand protocols are illustrated in <xref ref-type="fig" rid="F4">Figure 4</xref>. The mean cardiovascular responses during the 0.10 Hz and 0.05 Hz squat-to-stand protocols are shown in <xref ref-type="table" rid="T2">Table 2</xref>. During the 0.10 Hz squat-to-stand frequency, there was no condition effect for MAP (<xref ref-type="fig" rid="F4">Figure 4A</xref>) or PETCO<sub>2</sub> (<xref ref-type="fig" rid="F4">Figure 4B</xref>). MCAv (<xref ref-type="fig" rid="F4">Figure 4C</xref>) was lower after Diet (54.2 &#x000B1; 10.2 cm/s) and after Soda (56.2 &#x000B1; 12.3 cm/s) compared to water (63.2 &#x000B1; 9.6 cm/s; <italic>P</italic> &#x0003C; 0.001; <italic>P</italic> &#x0003C; 0.001 and <italic>P</italic> = 0.010, respectively). MCAc (<xref ref-type="fig" rid="F4">Figure 4D</xref>) was lower after Diet (0.52 &#x000B1; 0.10 cm/s/mmHg) and after Soda (0.55 &#x000B1; 0.15 cm/s/mmHg) compared to water (0.64 &#x000B1; 0.08 cm/s/mmHg; <italic>P</italic> &#x0003C; 0.001 and <italic>P</italic> = 0.022, respectively). There was a condition effect for PCAv (<xref ref-type="fig" rid="F4">Figure 4E</xref>) but the multiple comparisons did not reveal any significant differences (<italic>P</italic> > 0.061). PCAc (<xref ref-type="fig" rid="F4">Figure 4F</xref>) was lower after Diet (0.32 &#x000B1; 0.08 cm/s/mmHg) and after Soda (0.28 &#x000B1; 0.07 cm/s/mmHg) compared to water (0.36 &#x000B1; 0.9 cm/s/mmHg; <italic>P</italic> = 0.018 and <italic>P</italic> = 0.016, respectively). During the 0.05 Hz squat-to-stand frequency, there was no condition effect for MAP (<xref ref-type="fig" rid="F4">Figure 4A</xref>) or PETCO<sub>2</sub> (<xref ref-type="fig" rid="F4">Figure 4B</xref>). MCAv (<xref ref-type="fig" rid="F4">Figure 4C</xref>) was lower after Diet (52.9 &#x000B1; 9.9 cm/s) and Soda (53.8 &#x000B1; 11.8 cm/s) compared to after water (60.3 &#x000B1; 9.8 cm/s; <italic>P</italic> &#x0003C; 0.001 and <italic>P</italic> = 0.003, respectively). MCAc (<xref ref-type="fig" rid="F4">Figure 4D</xref>) was lower after Diet (0.51 &#x000B1; 0.11 cm/s/mmHg) and after Soda (0.55 &#x000B1; 0.14 cm/s/mmHg) compared to after water (0.63 &#x000B1; 0.09 cm/s/mmHg; <italic>P</italic> &#x0003C; 0.001 and <italic>P</italic> = 0.042, respectively). There was no condition effect for PCAv (<xref ref-type="fig" rid="F4">Figure 4E</xref>). There was a condition effect for PCAc (<xref ref-type="fig" rid="F4">Figure 4F</xref>) but the multiple comparisons did not reveal any significant differences (<italic>P</italic> > 0.064).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Dynamic cerebral autoregulation mean (bars) &#x000B1; standard deviation and individual (circles) responses of the middle cerebral artery for gain <bold>(A)</bold>, phase <bold>(B)</bold>, and coherence <bold>(C)</bold> for both squat-to-stand frequencies (0.10 Hz and 0.05 Hz). Mixed effects models were used to compare data between conditions. If a mixed effects model revealed a significant effect, a <italic>post-hoc</italic> Holm-Sidak multiple comparisons test was used to determine where differences existed. Values are presented as the 5 min mean (bars) &#x000B1; standard deviation and individual responses (circles). <italic>n</italic> = 12, four females unless otherwise noted. Missing data occurred due to exclusion due to noise during transfer function analysis. ASB, artificially-sweetened beverage; SSB, sugar-sweetened beverage.</p></caption>
<graphic xlink:href="fnhum-16-1063273-g0003.tif"/>
</fig>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Mean arterial pressure <bold>(A)</bold>, PETCO<sub>2</sub> <bold>(B)</bold>, middle cerebral artery blood velocity <bold>(C)</bold>, middle cerebral artery conductance <bold>(D)</bold>, posterior cerebral artery blood velocity <bold>(E)</bold>, and posterior cerebral artery conductance <bold>(F)</bold> obtained during each 5 min squat-to-stand frequency (0.10 Hz and 0.05 Hz). Mixed effects models were used to compare data between conditions. If a mixed effects model revealed a significant effect, a <italic>post-hoc</italic> Holm-Sidak multiple comparisons test was used to determine where differences existed. Values are presented as the 5 min mean (bars) &#x000B1; standard deviation and individual responses (circles). <italic>n</italic> = 12, four females unless otherwise noted. Missing data occurred due to the loss of signal and/or inability to obtain a quality signal while maintaining the same depth and/or gain with the transcranial Doppler signal. <sup>W</sup>Different from Water (<italic>P</italic> &#x0003C; 0.050); ASB, artificially-sweetened beverage; SSB, sugar-sweetened beverage.</p></caption>
<graphic xlink:href="fnhum-16-1063273-g0004.tif"/>
</fig>
</sec>
<sec id="s3-2">
<title>3.2 Cerebral vascular reactivity to hypercapnia (CVR<sub>CO2</sub>)</title>
<p>CVR<sub>CO2</sub> in the MCA (<xref ref-type="fig" rid="F5">Figure 5A</xref>) was lower after ASB (1.55 &#x000B1; 0.38 cm/s/mmHg) compared to water (2.00 &#x000B1; 0.57 cm/s/mmHg; <italic>P</italic> = 0.011) but did not differ between water and SSB (1.90 &#x000B1; 067 cm/s/mmHg; <italic>P</italic> = 0.593) or between soft drinks (<italic>P</italic> = 0.056). There was no effect of beverage on CVR<sub>CO2</sub> in the PCA (ANOVA <italic>P</italic> = 0.342; <xref ref-type="fig" rid="F5">Figure 5B</xref>). The mean cardiovascular responses during each stage of the cerebral vascular reactivity test are presented in <xref ref-type="table" rid="T2">Table 2</xref>. The mean responses for mean arterial pressure, PETCO<sub>2</sub>, MCAv, MCAc, PCAv, and PCAc responses are illustrated in <xref ref-type="fig" rid="F6">Figure 6</xref>. During CVR<sub>CO2</sub>, mean arterial pressure (<xref ref-type="fig" rid="F6">Figure 6A</xref>) was elevated compared to baseline at all three stages with the SSB only and at 7%CO<sub>2</sub> for all three beverages. PETCO<sub>2</sub> (<xref ref-type="fig" rid="F6">Figure 6B</xref>) was lower after Diet vs. water during 3% CO<sub>2</sub> (45 &#x000B1; 2 vs. 47 &#x000B1; 3 mmHg; <italic>P</italic> = 0.023) and 5% CO<sub>2</sub> (48 &#x000B1; 3 vs. 51 &#x000B1; 3 mmHg; <italic>P</italic> = 0.047). There were no differences in PETCO<sub>2</sub> between Soda vs. water (<italic>P</italic> > 0.076) or between soft drinks (<italic>P</italic> > 0.076) during CVR<sub>CO2</sub>. MCAv (<xref ref-type="fig" rid="F6">Figure 6C</xref>) increased from baseline at all stages of CVR<sub>CO2</sub> after all beverages (all <italic>P</italic> &#x0003C; 0.003). MCAv was lower after Soda vs. water during 3% CO<sub>2</sub> (58.7 &#x000B1; 12.8 vs. 66.9 &#x000B1; 13.6 cm/s; <italic>P</italic> = 0.001), 5% CO<sub>2</sub> (66.6 &#x000B1; 15.9 vs. 74.7 &#x000B1; 16.0 cm/s; <italic>P</italic> = 0.007), and 7% CO<sub>2</sub> (80.3 &#x000B1; 18.7 vs. 87.5 &#x000B1; 15.5 cm/s; <italic>P</italic> = 0.040). MCAv was also lower after Diet vs. water during 3% CO<sub>2</sub> (56.2 &#x000B1; 9.3 vs. 66.9 &#x000B1; 13.6 cm/s; <italic>P</italic> = 0.001), 5% CO<sub>2</sub> (61.4 &#x000B1; 9.6 vs. 74.7 &#x000B1; 16.0 cm/s; <italic>P</italic> = 0.004), and 7% CO<sub>2</sub> (72.1 &#x000B1; 87.5 &#x000B1; 15.5 cm/s; <italic>P</italic> = 0.002). There were no differences in MCAv between soft drinks (<italic>P</italic> > 0.063) during CVR<sub>CO2</sub>. MCAc (<xref ref-type="fig" rid="F6">Figure 6D</xref>) increased from baseline at all stages of CVR<sub>CO2</sub> after all beverages (all <italic>P</italic> &#x0003C; 0.020). MCAc was lower after Soda vs. water during 3% CO<sub>2</sub> (0.61 &#x000B1; 0.14 vs. 0.71 &#x000B1; 0.12 cm/s/mmHg <italic>P</italic> &#x0003C; 0.001), 5% CO<sub>2</sub> (0.67 &#x000B1; 0.17 vs. 0.77 &#x000B1; 0.13 cm/s/mmHg <italic>P</italic> = 0.003), and 7% CO<sub>2</sub> (0.76 &#x000B1; 0.19 vs. 0.86 &#x000B1; 0.13 cm/s/mmHg <italic>P</italic> = 0.016). MCAc was also lower after Diet vs. water during 3% CO<sub>2</sub> (0.56 &#x000B1; 0.13 vs. 0.71 &#x000B1; 0.12 cm/s/mmHg; <italic>P</italic> &#x0003C; 0.001), 5% CO<sub>2</sub> (0.60 &#x000B1; 0.14 vs. 0.77 &#x000B1; 0.13 cm/s/mmHg <italic>P</italic> = 0.002), and 7% CO<sub>2</sub> (0.68 &#x000B1; 0.15 vs. 0.86 &#x000B1; 13 cm/s/mmHg <italic>P</italic> = 0.001). There were no differences in MCAc between soft drinks (<italic>P</italic> > 0.087) during CVR<sub>CO2</sub>. PCAv (<xref ref-type="fig" rid="F6">Figure 6E</xref>) increased from baseline at all stages of CVR<sub>CO2</sub> after all beverages (all <italic>P</italic> &#x0003C; 0.004) except for at 3%CO<sub>2</sub> after water. There was no condition effect for PCAv (<italic>P</italic> = 0.081). PCAc (<xref ref-type="fig" rid="F6">Figure 6F</xref>) increased from baseline at 5% and 7% CO<sub>2</sub> after all beverages (all <italic>P</italic> &#x0003C; 0.004). There was a condition effect for PCAc but the multiple comparisons did not reveal any significant differences during CVR<sub>CO2</sub> (<italic>P</italic> &#x0003E; 0.072).</p>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>Left middle cerebral artery <bold>(A)</bold> and right posterior cerebral artery <bold>(B)</bold> reactivity to hypercapnia. Mixed effects models were used to compare data between conditions. If a mixed effects model revealed a significant effect, a <italic>post-hoc</italic> Holm-Sidak multiple comparisons test was used to determine where differences existed. Data are presented as mean (bars) &#x000B1; standard deviation and individual (circles) responses. <italic>n</italic> = 12, four females unless otherwise noted. Missing data occurred due to the loss of signal and/or inability to obtain a quality signal while maintaining the same depth and/or gain with the transcranial Doppler signal. <sup>W</sup>Different from Water (<italic>P</italic> &#x0003C; 0.050); ASB, artificially-sweetened beverage; SSB, sugar-sweetened beverage.</p></caption>
<graphic xlink:href="fnhum-16-1063273-g0005.tif"/>
</fig>
<fig id="F6" position="float">
<label>Figure 6</label>
<caption><p>Mean arterial pressure <bold>(A)</bold>, PETCO<sub>2</sub> <bold>(B)</bold>, middle cerebral artery blood velocity <bold>(C)</bold>, middle cerebral artery conductance <bold>(D)</bold>, posterior cerebral artery blood velocity (<bold>E</bold>; <italic>n</italic> = 10, three females for water, <italic>n</italic> = 11, <italic>n</italic> = 4 for ASB, and <italic>n</italic> = 10, two females for SSB), and posterior cerebral artery conductance (<bold>F</bold>; <italic>n</italic> = 10, three females for water, <italic>n</italic> = 11, four females for ASB, and <italic>n</italic> = 10, two females for SSB) obtained from each stage of the cerebral vascular reactivity to hypercapnia test. Mixed effects models were used to compare data between conditions. If a mixed effects model revealed a significant effect, a <italic>post-hoc</italic> Holm-Sidak multiple comparisons test was used to determine where differences existed. Data are presented as mean &#x000B1; standard deviation. <italic>n</italic> = 12, four females unless otherwise noted. Missing data occurred due to the loss of signal and/or inability to obtain a quality signal while maintaining the same depth and/or gain with the transcranial Doppler signal. <sup>B</sup>Different from baseline (<italic>P</italic> &#x0003C; 0.050); <sup>W</sup>Different from water (<italic>P</italic> &#x0003C; 0.050); <sup>S</sup>Different between soft drinks (<italic>p</italic> &#x0003C; 0.050); all B = all three beverages are different (<italic>P</italic> &#x0003C; 0.050) from baseline; all W = both the SSB and ASB are different (<italic>P</italic> &#x0003C; 0.050) from water; ASB, artificially-sweetened beverage; SSB, sugar-sweetened beverage.</p></caption>
<graphic xlink:href="fnhum-16-1063273-g0006.tif"/>
</fig>
</sec>
</sec>
<sec id="s4">
<title>4 Discussion</title>
<p>We investigated the acute effects of consuming a caffeinated SSB and ASB on cerebral vascular function in healthy, young adults. The novel findings from our study indicate that compared to water: (1) resting MCAv, MCAc, and PCAc were lower after the caffeinated SSB and ASB; (2) dynamic cerebral autoregulation did not differ with the SSB compared to the ASB or between soft drinks and water during an orthostatic challenge; and (3) cerebral vascular reactivity to hypercapnia did not differ between the SSB and ASB but was attenuated after ASB compared to water.</p>
<p>MCAv was lower following consumption of both soft drink beverages compared to water. Cerebral vascular conductance, an indirect indicator of vasomotor tone (Claassen et al., <xref ref-type="bibr" rid="B16">2007</xref>), was also lower in the MCA and PCA following both soft drinks compared to water. We also observed a significant effect of beverage consumption on PCAv, but the <italic>post hoc</italic> analysis was unable to determine differences among the beverages. Although unlikely, the lower MCAv, MCAc, and PCAc values could be a result of small changes in arterial CO<sub>2</sub> content as mean arterial pressure was not different between conditions. Cerebral artery blood velocity is sensitive to changes in arterial CO<sub>2</sub> content such that there is an estimated 2% decrease in velocity per mmHg decline in PETCO<sub>2</sub> (Ide et al., <xref ref-type="bibr" rid="B31">2003</xref>; Hoiland et al., <xref ref-type="bibr" rid="B29">2019</xref>). Although not significant, the changes in PETCO<sub>2</sub> compared to water were &#x0007E;2 mmHg and &#x0007E;1 mmHg lower following ASB and SSB, respectively. These numbers are similar to the non-significant &#x0007E;2 mmHg difference in PETCO<sub>2</sub> after 300 mg of caffeine, however, our caffeine content (76 mg) was much lower than this (Blaha et al., <xref ref-type="bibr" rid="B6">2007</xref>). Thus, it is unlikely that these small differences in arterial CO<sub>2</sub> content explain the entire magnitude of the lower MCAv following ASB (&#x0007E;18%) and SSB (&#x0007E;14%) compared to water. Both soft drinks listed identical amounts of caffeine (76 mg), which is an adenosine receptor antagonist that peaks in the plasma between 30 and 90 min after consumption (Mandel, <xref ref-type="bibr" rid="B44">2002</xref>; Martins et al., <xref ref-type="bibr" rid="B45">2020</xref>) and causes vasoconstriction of the cerebral the vasculature, thus reducing cerebral blood flow (Cameron et al., <xref ref-type="bibr" rid="B9">1990</xref>; Coney and Marshall, <xref ref-type="bibr" rid="B17">1998</xref>; Phillis and O&#x02019;Regan, <xref ref-type="bibr" rid="B55">2003</xref>). For example, 250 mg (Lunt et al., <xref ref-type="bibr" rid="B42">2004</xref>) or 300 mg (Blaha et al., <xref ref-type="bibr" rid="B6">2007</xref>) of caffeine ingestion reduced MCAv by 13% and 14%, respectively, in both adults who were healthy and post-stroke. It is currently not known if a dose-response relationship exists between caffeine ingestion and intracranial artery blood velocity. Nonetheless, the caffeine content in the ASB and SSB likely contributed to the lower resting intracranial artery blood velocities and indices of vasodilation (i.e., conductance) that we observed compared to water. Although we did not collect blood samples in this study, we tested participants within the window of peak plasma caffeine concentrations (Mandel, <xref ref-type="bibr" rid="B44">2002</xref>; Martins et al., <xref ref-type="bibr" rid="B45">2020</xref>).</p>
<p>In addition to caffeine, other constituents of the ASB and SSB may have modulated resting intracranial artery blood velocities and indices of vasodilation (i.e., conductance) that we observed compared to water. The ASB that we used contained the artificial sweeteners acesulfame potassium, aspartame, and sucralose. There is currently no evidence in humans to indicate that the acute consumption of these artificial sweeteners would attenuate resting cerebral blood flow. However, there is evidence that ingesting acesulfame potassium combined with sucralose for 10 weeks reduces endothelium-dependent relaxation to acetylcholine in rat aortas (Risdon et al., <xref ref-type="bibr" rid="B57">2020</xref>). Therefore, chronic consumption of acesulfame potassium and sucralose may be needed before observing changes in resting intracranial cerebral artery blood velocity.</p>
<p>Acute consumption of an HFCS beverage increased renal vascular resistance (Chapman et al., <xref ref-type="bibr" rid="B10">2020</xref>) and increased systolic blood pressure (Le et al., <xref ref-type="bibr" rid="B40">2012</xref>) but did not affect arterial stiffness in young healthy adults (Freemas et al., <xref ref-type="bibr" rid="B24">2021</xref>). Although we do not have pre-experimental beverage consumption blood pressure, there were no differences between the blood pressures at baseline between water and soft drink beverages but this could be due to a lower amount of caffeine than amounts known (>90 mg) to increase blood pressure (Nurminen et al., <xref ref-type="bibr" rid="B49">1999</xref>). To our knowledge, there are no reports on the effects of HFCS on cerebral blood velocity and cerebral vascular function. However, there are reports of the isolated acute consumption of fructose. The acute ingestion of fructose mixed with water has been shown to reduce cerebral blood flow, assessed using magnetic resonance imaging arterial spin labeling, to various brain regions such as the thalamus, hippocampus, posterior cingulate cortex, fusiform gyrus, and visual cortex (Page et al., <xref ref-type="bibr" rid="B51">2013</xref>). The acute consumption of fructose also reduced serum biomarkers of nitric oxide, increased serum uric acid, and impaired micro- and macrovascular endothelial function in healthy adults (Loader et al., <xref ref-type="bibr" rid="B41">2017</xref>; Cai et al., <xref ref-type="bibr" rid="B8">2018</xref>). Fructose-fed rats showed increased levels of oxidative stress after 7 days of consumption (Delbosc et al., <xref ref-type="bibr" rid="B19">2005</xref>). There is also evidence that fructose ingestion modulates sympathetically-mediated increases in heart rate (Schwarz et al., <xref ref-type="bibr" rid="B6500">1992</xref>). Our findings likely support this as heart rate was higher at post-consumption baseline with the SSB compared to water and ASB, despite having the same caffeine amount as the ASB. Together, it is important to consider the route of administration, interaction with other ingredients in the drink (e.g., caffeine), the volume of fructose, the timing of measurements, etc. as these could influence modulators of cerebral vascular function similar to the peripheral vasculature.</p>
<p>We found that CVR<sub>CO2</sub> in the MCA was lower following the ingestion of ASB compared to water but observed no other differences between beverages or in the PCA. Using an animal model, relatively high doses of caffeine (10 mg/kg) have been shown to reduce the cerebral vascular response to hypercapnia by 40&#x02013;44% (Estevez and Phillis, <xref ref-type="bibr" rid="B20">1997</xref>). Using transcranial Doppler ultrasound, Blaha et al. (<xref ref-type="bibr" rid="B6">2007</xref>) also found that ingestion of 250 mg of caffeine reduced the MCAv response to hypercapnia by &#x0007E;11%. Conversely, the intravenous infusion of 2.5 mg/kg body weight of caffeine did not reduce the cerebral blood flow response to hypercapnia assessed using blood-oxygenation-level-dependent magnetic resonance imaging (Chen and Parrish, <xref ref-type="bibr" rid="B11">2009</xref>). Because we only observed a decrease in CVR<sub>CO2</sub> following ASB, even though both soft drinks contained identical caffeine content, we speculate that additional factors modulated this response. CVR<sub>CO2</sub> is used as an index of cerebral vasculature nitric oxide bioavailability as it facilitates increases in MCAv during hypercapnia (Iadecola and Zhang, <xref ref-type="bibr" rid="B30">1994</xref>; Schmetterer et al., <xref ref-type="bibr" rid="B60">1997</xref>). However, our study is the first to examine such a response following ASB. In this regard, flow-mediated dilation (a marker of peripheral vascular nitric oxide bioavailability; Joannides et al., <xref ref-type="bibr" rid="B6501">1995</xref>) was found to be not meaningfully different following the acute consumption of sucralose in healthy, young adults (Memon et al., <xref ref-type="bibr" rid="B46">2014</xref>). Increases in cerebral blood flow during hypercapnia are also due to the hyperpolarization of endothelial cells <italic>via</italic> the activation of voltage-gated potassium channels resulting in vascular relaxation (Kitazono et al., <xref ref-type="bibr" rid="B38">1995</xref>; Nelson and Quayle, <xref ref-type="bibr" rid="B48">1995</xref>) which can be assessed with selective inhibitors, such as glibenclamide (Faraci and Heistad, <xref ref-type="bibr" rid="B22">1998</xref>). Additional studies are warranted to replicate our results and determine which constituents of ASB contribute to the attenuated CVR<sub>CO2</sub>.</p>
<p>Although we did not collect blood to quantify blood biomarkers such as uric acid, nitric oxide precursors, blood glucose and fructose, insulin, and lipids, we have previously shown that HFCS ingestion increases serum uric acid, serum glucose, and serum fructose following the identical SSB used in the current study (Chapman et al., <xref ref-type="bibr" rid="B10">2020</xref>). Uric acid has been linked with reducing nitric oxide bioavailability (Khosla et al., <xref ref-type="bibr" rid="B36">2005</xref>). Thus, we expected CVR<sub>CO2</sub> to be attenuated following the SSB. Our study is the first to report whether the consumption of SSB influences CVR<sub>CO2</sub>, therefore it is unclear why CVR<sub>CO2</sub> was not affected by SSB ingestion. We speculate that the amount of circulating uric acid was not sufficient to lower nitric oxide bioavailability and influence CVR<sub>CO2</sub> in the intracranial arteries we examined. Furthermore, fructose consumption does cause small increases in circulating insulin (Le et al., <xref ref-type="bibr" rid="B40">2012</xref>), which might have offset the vasoconstricting effects of uric acid and caffeine in the cerebral vasculature during hypercapnia (Katakam et al., <xref ref-type="bibr" rid="B34">2009</xref>). Without blood samples, we are unable to identify blood biomarkers that could have helped elucidate specific mechanisms.</p>
<p>We found that dynamic cerebral autoregulation during an orthostatic stressor was not statistically different between the beverage conditions. Our study is the first to report how ASB and SSB influence dynamic cerebral autoregulation in humans. Moderate and large doses of caffeine (20 and 40 mg/kg body weight) administered to rats did not alter cerebral autoregulation during severe hypotension (Phillis and DeLong, <xref ref-type="bibr" rid="B54">1986</xref>). Previous evidence from humans indicates that the rate of regulation, a marker of dynamic cerebral autoregulation, is greater (i.e., improved) 30 min following acute coffee ingestion that included 250 mg of caffeine among other ingredients that might contribute to augmented cerebrovascular function (Sasaki et al., <xref ref-type="bibr" rid="B58">2016</xref>). Sasaki et al. (<xref ref-type="bibr" rid="B58">2016</xref>) posited that caffeine ingestion caused cerebral vasoconstriction, due to increased circulating catecholamines and antagonizing cerebral adenosine receptors, that lead to augmented dynamic cerebral autoregulation. We observed lower resting MCAc and PCAc following ASB compared to water indicating intracranial vasoconstriction. However, these changes in resting cerebral vasomotor tone did not translate to an augmented dynamic cerebral autoregulation. Thus, it is possible that caffeine content greater than our ASB and SSB or other drink constituents of the ASB and SSB that we tested is needed to influence cerebral vasoconstriction to the extent needed to influence dynamic cerebral autoregulation in humans during orthostatic stress.</p>
<sec id="s4-1">
<title>4.1 Experimental considerations</title>
<p>There are several experimental considerations that should be considered when interpreting our data. First, a technological limitation of transcranial Doppler ultrasound of intracranial cerebral arteries is the inability to measure the arterial diameter. Thus, we are assuming that the diameter of these arteries remained constant and any changes in velocity were due to changes in blood flow (Willie et al., <xref ref-type="bibr" rid="B65">2011</xref>). That being said, Lunt et al. (<xref ref-type="bibr" rid="B42">2004</xref>) suggested that vasoconstriction occurs in the MCA following caffeine consumption. Second, we did not measure blood flow in extracranial cerebral arteries such as the internal carotid and/or vertebral artery that could have provided additional information regarding global cerebral blood flow. Third and as mentioned above, we did not collect blood samples to quantify serum changes in caffeine, blood glucose, insulin, lipids, uric acid, or nitric oxide precursors. Therefore, it is unclear if these modulators of arterial function were different between beverage conditions. Our laboratory previously found that serum uric acid was greater following SSB consumption compared to ASB and water, serum glucose increased with the ASB and SSB compared to water, and serum fructose increased with the SSB compared to water using the same beverages and similar timing of measurements as our current study (Chapman et al., <xref ref-type="bibr" rid="B10">2020</xref>). Fourth, we used young participants who self-reported to be healthy. Therefore, we cannot extend our findings to older and/or patient populations that have cerebral vascular risk factors. Fifth, we recruited both males and females to participate in our study but we were not statistically powered to make sex comparisons as this was not an objective of our study. Although we did schedule female participants within the same phase of the menstrual cycle, we also could not examine responses throughout the menstrual cycle. Sixth, we did not collect food and beverage dietary logs nor did we provide a standardized meal prior to each study visit. The restriction of food for at least 2 h prior to each study visit may not have been adequate enough to prevent confounding effects of food and/or beverages consumed prior to the study. Finally, our control condition was water. A time control condition without any beverage consumption or completing the cerebral vascular function testing before and after each beverage within the same study visit would have provided additional information regarding the consumption of fluid on cerebral vascular function.</p>
</sec>
<sec id="s4-2">
<title>4.2 Perspectives and significance</title>
<p>Many individuals take it upon themselves, or they are recommended by a health care provider, to limit fructose intake and/or reduce caloric intake for a variety of reasons that may include reducing cardiovascular and metabolic disease risks. Despite these good intentions to limit caloric and fructose intake, stroke risk is still elevated in people that regularly consume ASB compared to individuals who do not (Bernstein et al., <xref ref-type="bibr" rid="B4">2012</xref>; Pase et al., <xref ref-type="bibr" rid="B52">2017</xref>). Thus, we investigated how the acute consumption of SSB and ASB influence cerebral vascular function. Our results indicate intracranial cerebral vasoconstriction following ASB and SSB and a lower cerebral vasomotor response to hypercapnia following ASB compared to water. We speculate that caffeine is the main ingredient that contributed to these changes in cerebral vascular function. However, stroke risk (Larsson and Orsini, <xref ref-type="bibr" rid="B39">2011</xref>) and all-cause mortality (Crippa et al., <xref ref-type="bibr" rid="B18">2014</xref>) in regular coffee drinkers is lower than non-coffee drinkers. Therefore, although caffeine was likely the main contributor to the acute changes we observed, other ingredients in soft drinks may contribute to the associated negative health outcomes with repeated SSB and ASB consumption. Proper cerebral vascular function during orthostatic challenges, such as a squat-to-stand protocol, is essential for the maintenance of cerebral blood flow and the prevention of syncope.</p>
</sec>
</sec>
<sec id="s5">
<title>5 Conclusions</title>
<p>Our study is the first investigation to report on the acute effects of caffeinated-soft drinks, both sugar- and artificially-sweetened, on cerebral vascular function. Our findings demonstrate: (1) lower blood velocity and conductance in the middle cerebral artery following an artificially sweetened beverage and a sugar-sweetened beverage and lower posterior cerebral artery conductance following an artificially sweetened beverage compared to water; and (2) lower cerebral vascular reactivity to hypercapnia in the middle cerebral artery following an artificially sweetened beverage compared to water. Contrary to our hypothesis, we did not observe any differences between water consumption and a sugar-sweetened beverage for cerebral vascular reactivity to hypercapnia or any differences between beverage conditions for dynamic cerebral autoregulation. We speculate that caffeine is the main ingredient that modulated resting intracranial artery blood velocity and cerebral vascular reactivity to hypercapnia following caffeinated beverages.</p>
</sec>
<sec sec-type="data-availability" id="s6">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Institutional Review Board of the University at Buffalo. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author Contributions</title>
<p>ER, MW, ZS, and BJ: study design. ER, MW, PK, and LP: collected data. ER, MW, PK, LP, and BJ: analyzed data. ER, MW, PK, and BJ: drafted manuscript. ER, MW, PK, LP, ZS, and BJ: edited and approved the final submission. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>This project was funded by departmental funds from the Department of Exercise and Nutrition Sciences at the University at Buffalo.</p>
</sec>
<ack>
<p>We thank the volunteers for their participation in the study. We extend our gratitude to Dr. Christopher Chapman, Triniti Fitts, and Hannah Zazulak for study assistance.</p>
</ack>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x02019;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>
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