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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Endocrinol.</journal-id>
<journal-title>Frontiers in Endocrinology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Endocrinol.</abbrev-journal-title>
<issn pub-type="epub">1664-2392</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fendo.2024.1346082</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Endocrinology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Urinary hyaluronidase activity is closely related to vasopressinergic system following an oral water load in men: a potential role in blood pressure regulation and early stages of hypertension development</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Calvi</surname>
<given-names>Anna</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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<contrib contrib-type="author" equal-contrib="yes" corresp="yes">
<name>
<surname>Bongrani</surname>
<given-names>Alice</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
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<contrib contrib-type="author">
<name>
<surname>Verzicco</surname>
<given-names>Ignazio</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Figus</surname>
<given-names>Giuliano</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Vicini</surname>
<given-names>Vanni</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Coghi</surname>
<given-names>Pietro</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Montanari</surname>
<given-names>Alberto</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn004">
<sup>&#x2021;</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Cabassi</surname>
<given-names>Aderville</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="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Clinica e Terapia Medica, Department of Medicine and Surgery, University Hospital of Parma</institution>, <addr-line>Parma</addr-line>, <country>Italy</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Cardiorenal and Hypertension Research Unit, Department of Medicine and Surgery, University of Parma</institution>, <addr-line>Parma</addr-line>, <country>Italy</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Seerapani Gopaluni, University of Cambridge, United Kingdom</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Carolina Dalmasso, University of Kentucky, United States</p>
<p>Marianna Ranieri, University of Bari Aldo Moro, Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Aderville Cabassi, <email xlink:href="mailto:aderville.cabassi@unipr.it">aderville.cabassi@unipr.it</email>; Alice Bongrani, <email xlink:href="mailto:alice.bongrani@unipr.it">alice.bongrani@unipr.it</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work and share first authorship</p>
</fn>
<fn fn-type="deceased" id="fn004">
<p>&#x2021;Deceased</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>06</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1346082</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>11</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>05</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Calvi, Bongrani, Verzicco, Figus, Vicini, Coghi, Montanari and Cabassi</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Calvi, Bongrani, Verzicco, Figus, Vicini, Coghi, Montanari and Cabassi</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>Introduction</title>
<p>Blood pressure (BP) regulation is a complex process involving several factors, among which water-sodium balance holds a prominent place. Arginin-vasopressin (AVP), a key player in water metabolism, has been evoked in hypertension development since the 1980s, but, to date, the matter is still controversial. Hyaluronic acid metabolism has been reported to be involved in renal water management, and AVP appears to increase hyaluronidase activity resulting in decreased high-molecular-weight hyaluronan content in the renal interstitium, facilitating water reabsorption in collecting ducts. Hence, our aim was to evaluate urinary hyaluronidase activity in response to an oral water load in hypertensive patients (HT, n=21) compared to normotensive subjects with (NT+, n=36) and without (NT-, n=29) a family history of hypertension, and to study its association with BP and AVP system activation, expressed by serum copeptin levels and urine Aquaporin 2 (AQP2)/creatinine ratio.</p>
</sec>
<sec>
<title>Methods</title>
<p>Eighty-six Caucasian men were studied. Water load test consisted in oral administration of 15&#x2013;20 ml of water/kg body weight over 40&#x2013;45 min. BP, heart rate, serum copeptin, urine hyaluronidase activity and AQP2 were monitored for 4 hours.</p>
</sec>
<sec>
<title>Results</title>
<p>In response to water drinking, BP raised in all groups with a peak at 20&#x2013;40 min. Baseline levels of serum copeptin, urinary hyaluronidase activity and AQP2/creatinine ratio were similar among groups and all decreased after water load, reaching their nadir at 120&#xa0;min and then gradually recovering to baseline values. Significantly, a blunted reduction in serum copeptin, urinary hyaluronidase activity and AQP2/creatinine ratio was observed in NT+ compared to NT- subjects. A strong positive correlation was also found between urinary hyaluronidase activity and AQP2/creatinine ratio, and, although limited to the NT- group, both parameters were positively associated with systolic BP.</p>
</sec>
<sec>
<title>Discussion</title>
<p>Our results demonstrate for the first time the existence in men of a close association between urinary hyaluronidase activity and vasopressinergic system and suggest that NT+ subjects have a reduced ability to respond to water loading possibly contributing to the blood volume expansion involved in early-stage hypertension. Considering these data, AVP could play a central role in BP regulation by affecting water metabolism through both hyaluronidase activity and AQP2 channel expression.</p>
</sec>
</abstract>
<kwd-group>
<kwd>hyaluronidase</kwd>
<kwd>arginin-vasopressin</kwd>
<kwd>ADH</kwd>
<kwd>hypertension</kwd>
<kwd>Aquaporin 2</kwd>
<kwd>water metabolism</kwd>
<kwd>water load</kwd>
<kwd>blood pressure</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="47"/>
<page-count count="12"/>
<word-count count="5916"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Renal Endocrinology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>According to the 2023 World Health Organization (WHO) estimates, 1.28 billion adults between 30 and 79 years old suffer from hypertension and about 1 in 5 have it under control (<xref ref-type="bibr" rid="B1">1</xref>). Hypertension is currently the most prevalent risk factor for cardiovascular disease and one of the leading causes of premature death worldwide, with the risk being higher the younger the age of hypertension onset (<xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>Blood pressure (BP) regulation is extremely complex, and several endocrine, nervous, vascular and immune factors are closely interconnected in hypertension pathogenesis (<xref ref-type="bibr" rid="B3">3</xref>). Water and sodium balance is undoubtedly one of them. As early as 1972, Guyton et&#xa0;al. demonstrated the influence of kidney in BP regulation, showing that increasing BP levels were associated with a significant increase in sodium and, consequently, water renal excretion aimed at reducing extracellular volume and restoring normal BP values (<xref ref-type="bibr" rid="B4">4</xref>). While sodium contribution to hypertension development has since been extensively and thoroughly studied, the role of water is still poorly defined.</p>
<p>Arginin-vasopressin (AVP), also known as antidiuretic hormone (ADH), is a 9-amino-acid peptide synthetized by the magnocellular neurons located in the supraoptic and paraventricular nuclei of hypothalamus and secreted in response to raised serum tonicity and/or reduced effective circulating arterial blood volume (<xref ref-type="bibr" rid="B5">5</xref>). Characteristically, AVP acts as an antidiuretic hormone by activating V2 receptors on the basolateral membrane of the principal cells in the collecting ducts. This is followed by Aquaporin 2 (AQP2) translocation to the luminal membrane and the formation of AQP2 channels, resulting in increased water permeability, water reabsorption and, finally, excretion of hyperosmotic urine (<xref ref-type="bibr" rid="B5">5</xref>). A possible role for AVP in hypertension development has been evoked since the 1980s (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>), but, to date, is still controversial (<xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>). Indeed, AVP was first identified as a pressor hormone (<xref ref-type="bibr" rid="B14">14</xref>), and, <italic>in vitro</italic>, its vasoconstrictor effect, mediated by V1a receptors on smooth muscle cells, has shown to be greater than that of angiotensin II (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>). <italic>In vivo</italic>, however, its importance is presumably limited by the activation of counter-regulatory mechanisms, including the baroreceptor reflex and the modulation of cardiac output by AVP itself (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>Interestingly, in 1958, Ginetzinsky demonstrated that hyaluronic acid (HA) metabolism in the renal interstitium is closely related to water handling and AVP action (<xref ref-type="bibr" rid="B17">17</xref>). Indeed, HA content in renal medullary significantly influences the process of urine concentration and dilution, mainly by altering the interstitial osmotic gradient that draws AVP-induced water reabsorption at the collecting duct level (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). In humans, the degradation of high-molecular-weight HA into low-molecular-weight fragments is catalyzed by six different types of hyaluronidases, of which HYAL1 and HYAL2 are the most highly expressed and actively involved in HA metabolism (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>). Their activity is tightly regulated by several factors, including hormones involved in water balance, such as angiotensin II and AVP (<xref ref-type="bibr" rid="B22">22</xref>). Notably, AVP seems to accelerate HA catabolism in renal medullary by increasing both hyaluronidase synthesis and activity (<xref ref-type="bibr" rid="B23">23</xref>).</p>
<p>As hyaluronidase excretion in the urine has been shown to be inversely correlated to body water balance (<xref ref-type="bibr" rid="B19">19</xref>), the aim of our study was to assess urinary hyaluronidase activity and to study its association with BP and vasopressinergic system activation in response to an oral water load. Hypertensive patients were compared to normotensive men with and without a family history of hypertension. Since over 90% of circulating AVP is bound to platelets and its plasma half-life is only 5 to 20&#xa0;min (<xref ref-type="bibr" rid="B24">24</xref>), the urinary AQP2/creatinine ratio, which reflects the shedding phenomenon of AQP2 from the apical luminal membrane of collecting duct principal cells, has been considered as valid surrogate for assessing renal sensitivity to AVP action, based on results obtained in a rat model of essential hypertension (<xref ref-type="bibr" rid="B25">25</xref>). To further confirm our results, we also assessed serum levels of copeptin, the 39-aminoacid C-terminal part of the AVP precursor (pre-proAVP), which is secreted into circulation in equimolar concentration with AVP, thus indicating AVP plasma levels (<xref ref-type="bibr" rid="B24">24</xref>).</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Study population</title>
<p>Recruitment of study population took place between 2005 and 2008 as part of the I Demand (Italy Developing Education and awareness on Micro-Albuminuria in patients with hypertensive Disease) Project, a multicenter observational study promoted by the Italian Society of Hypertension. The study was conducted in accordance with the Declaration of Helsinki principles and was approved by the Ethics Committee of the University Hospital of Parma. All participants gave written informed consent.</p>
<p>Included subjects referred to the Hypertension and Cardio-Renal Disease Study Center attached to the Internal Medicine Department of the University Hospital of Parma with a diagnosis of essential hypertension never treated with antihypertensive drugs (HT group, n=21). Secondary hypertension was, however, excluded by history, physical examination, blood and urine hormone tests, and renal artery ultrasound. Controls were untreated normotensive healthy volunteers mainly recruited among healthcare professionals and students. Men with both parents suffering from arterial hypertension were classified as normotensive positive subjects (family history of hypertension, NT+, n=36); otherwise, they were considered normotensive negative controls (NT-, n=29).</p>
<p>All subjects were men of Caucasian ethnicity. Women were excluded to avoid potential bias due to the well-known effects of estrogens on the physiological regulation of water-sodium balance, especially on AVP system activation (<xref ref-type="bibr" rid="B26">26</xref>). Other exclusion criteria included:</p>
<list list-type="simple">
<list-item>
<p>- Age &lt; 18 years</p>
</list-item>
<list-item>
<p>- Ongoing urinary infection</p>
</list-item>
<list-item>
<p>- Heart failure</p>
</list-item>
<list-item>
<p>- Diabetes mellitus or insipidus</p>
</list-item>
<list-item>
<p>- Oedema</p>
</list-item>
<list-item>
<p>- Liver diseases</p>
</list-item>
<list-item>
<p>- Systemic connective tissue diseases.</p>
</list-item>
</list>
</sec>
<sec id="s2_2">
<title>Water load test</title>
<p>Oral water load and related analyses were performed in the Day Hospital ward of the Internal Medicine Department at eight o&#x2019;clock a.m. The water load experimental protocol by Velazquez et&#xa0;al. (<xref ref-type="bibr" rid="B27">27</xref>) was applied. Subjects were instructed to follow a 7-day diet containing sodium 153 mEq/day and potassium 75 mEq/day and to abstain from smoking and drinking coffee or tea for at least 12 hours before the test. Sodium and potassium levels were verified in 24-hour urine at both 72 and 24 hours prior to the test: levels above or below 25% of the expected values were considered as a protocol violation and subjects were excluded. A fast from solids starting at midnight the previous evening was also required. Small amounts of water were allowed.</p>
<p>Water load test consisted in oral administration of 15&#x2013;20 mL of water/kg of body weight over 40&#x2013;45 minutes, followed by supine rest for at least 4 hours. Systolic and diastolic office blood pressure (SBP and DBP, respectively), as well as heart rate, were assessed by the ward nurse using the cuff method every 20 minutes during the first hour and then every 30 minutes up to 4 hours. Body weight and height, as well as 24h-urine volume, were recorded prior to the water load test.</p>
</sec>
<sec id="s2_3">
<title>Biological sampling</title>
<p>Venous blood and urine samples were obtained after three series of BP and heart rate measurements, centrifuged and immediately frozen at -80&#xb0;C for subsequent analysis.</p>
<p>Blood was drawn prior to the test, after at least 30 minutes of supine rest, and collected into propylene tubes containing 1.5 mg/mL EDTA (ethylenediaminetetraacetic acid) buffer. Plasma sodium, potassium, osmolarity and creatinine levels were assessed using standard techniques. Serum copeptin was measured by a commercial enzyme-linked immunosorbent assay (ELISA) kit according to manufacturer&#x2019;s instructions (Human Copeptin ELISA kit CSB-E121304, Cusabio Biotech, China). Intra-assay and inter-assay coefficients of variation were &lt;8% and &lt;10%, respectively. Analysis was performed in duplicate.</p>
<p>Urine samples were collected at baseline, then every 20 minutes during the first hour, every 30 minutes up to 180 minutes, and finally at 240 minutes.</p>
</sec>
<sec id="s2_4">
<title>Hyaluronidase activity and AQP2/creatinine ratio assessment</title>
<p>Hyaluronidase activity was quantified in urine by turbidimetric assay, determining turbidity caused by the high-molecular-mass (&gt;6&#x2013;8 kDa) residual substrate precipitated with cetyltrimethylammonium bromide. The incubation mixture contained citrate-phosphate buffer (solution A: 0.1 M Na<sub>2</sub>HPO<sub>4</sub>, 0.1 M NaCl; solution B: 0.1 M citric acid, 0.1 M NaCl; solutions A and B were mixed in the appropriate proportions to achieve a 5.0 pH), 30 &#x3bc;L of BSA solution (0.2 mg/mL in water), 30 &#x3bc;L of HA substrate solution (2 mg/mL in water), 50 &#x3bc;L of H<sub>2</sub>O, 10 &#x3bc;L of Me<sub>2</sub>SO and 30 &#x3bc;L of enzyme solution. After 30-minute incubation at 37&#xb0;C, 720 &#x3bc;L of 2.5% (w/v) cetyltrimethylammonium bromide solution (2.5&#xa0;g of cetyltrimethylammonium bromide dissolved in 100 mL of 0.5M sodium hydroxide solution at pH 12.5) was added in order to precipitate the residual high-molecular-mass substrate and stop the enzymatic reaction. The mixture was then incubated a second time at 25&#xb0;C for 20 minutes and the turbidity of each sample was determined at 600 nm with a spectrophotometer. The obtained hyaluronidase activity levels were then corrected for urinary creatinine concentration. Measurements were performed in triplicates according to Botzki et&#xa0;al. (<xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>AQP2 levels were assessed in urine using a commercial ELISA kit (SEA580Hu 96, intra- and inter-assay coefficients of variation &lt;10% and &lt;12%, respectively, Cloud-Clone Corp., Katy, TX77494, USA) and then normalized for urinary creatinine concentration.</p>
<p>All laboratory assays were performed without freeze-thaw cycles of the samples and by investigators blind to clinical data.</p>
</sec>
<sec id="s2_5">
<title>Statistical analysis</title>
<p>Results are expressed as mean &#xb1;standard deviation (SD).</p>
<p>Prior to analysis, the normal distribution of data was verified with the Shapiro-Wilk and Kolmogorov-Smirnov tests, and, when necessary, the logarithmic transformation was applied. Comparisons among groups were then made using one-way ANOVA followed by Bonferroni&#x2019;s <italic>post-hoc</italic> test or two-way ANOVA with repeated measures followed by Dunnett&#x2019;s <italic>post-hoc</italic> test, as appropriate. As concerns serum copeptin levels, due to the great variability of the values obtained, data were analyzed as percent changes from baseline by employing a mixed-effect model followed by Dunnett&#x2019;s <italic>post-hoc</italic> test. The correlations between SBP and urinary hyaluronidase activity and AQP2/creatinine ratio, respectively, were evaluated by single linear regression.</p>
<p>Statistical analysis was performed using GraphPad Prism software (version 10.0.3, San Diego, CA, USA) and p&lt;0.05 was considered the statistical threshold to declare significance.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>Anthropometric, clinical and biological features of study population are detailed in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. A total of 86 men aged 20 to 52 years were included. HT patients were older than NT subjects (p&lt;0.0001 versus both NT- and NT+) and, as expected, had higher baseline SBP and DBP values (p&lt;0.0001 for both). No difference in SBP and DBP was found between NT- and NT+ men. Likewise, baseline heart rate was similar among the groups. Subjects had normal renal function and no electrolyte disturbances. After a follow-up period of 8 to 11 years from the water load test, sustained arterial hypertension was diagnosed in 4 out of 29 (14%) NT- versus 11 out of 36 (30%) NT+ men.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Anthropometric, clinical and biological characteristics of study population.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center"/>
<th valign="middle" align="center">NT-<break/>(n=29)</th>
<th valign="middle" align="center">NT+<break/>(n=36)</th>
<th valign="middle" align="center">HT<break/>(n=21)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">
<bold>Age</bold> (years)</td>
<td valign="middle" align="center">27 &#xb1; 4</td>
<td valign="middle" align="center">27 &#xb1; 5</td>
<td valign="middle" align="center">44 &#xb1; 5****</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>BMI</bold> (kg/m<sup>2</sup>)</td>
<td valign="middle" align="center">25.9 &#xb1; 2.2</td>
<td valign="middle" align="center">25.8 &#xb1; 2.3</td>
<td valign="middle" align="center">26.2 &#xb1; 2.8</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>SBP</bold> (mmHg)</td>
<td valign="middle" align="center">121 &#xb1; 9</td>
<td valign="middle" align="center">118 &#xb1; 8</td>
<td valign="middle" align="center">154 &#xb1; 8****</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>DBP</bold> (mmHg)</td>
<td valign="middle" align="center">77 &#xb1; 5</td>
<td valign="middle" align="center">76 &#xb1; 6</td>
<td valign="middle" align="center">95 &#xb1; 5****</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>Heart Rate</bold> (bpm)</td>
<td valign="middle" align="center">74 &#xb1; 7</td>
<td valign="middle" align="center">74 &#xb1; 8</td>
<td valign="middle" align="center">77 &#xb1; 10</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>24h-Urine Volume</bold> (mL)</td>
<td valign="middle" align="center">1660 &#xb1; 389</td>
<td valign="middle" align="center">1510 &#xb1; 298</td>
<td valign="middle" align="center">1634 &#xb1; 382</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>Creatinine</bold> (mg/dL)</td>
<td valign="middle" align="center">0.88 &#xb1; 0.12</td>
<td valign="middle" align="center">0.90 &#xb1; 0.15</td>
<td valign="middle" align="center">0.92 &#xb1; 0.19</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>Sodium</bold> (mmol/L)</td>
<td valign="middle" align="center">138 &#xb1; 3</td>
<td valign="middle" align="center">139 &#xb1; 4</td>
<td valign="middle" align="center">139 &#xb1; 4</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>Potassium</bold> (mmol/L)</td>
<td valign="middle" align="center">4.4 &#xb1; 0.6</td>
<td valign="middle" align="center">4.6 &#xb1; 0.5</td>
<td valign="middle" align="center">4.3 &#xb1; 0.7</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>The values are expressed as mean &#xb1; standard deviation. NT-, Normotensive subjects; NT+, Normotensive subjects with family history of hypertension; HT, Hypertensive subjects; BMI, Body Mass Index; SBP, Systolic Blood Pressure; DBP, Diastolic Blood Pressure.</p>
</fn>
<fn>
<p>****<italic>p</italic>&lt;0.0001 vs NT- and NT+ groups, One-way ANOVA followed by Bonferroni <italic>post-hoc</italic> test.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>As shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>, in response to oral water loading, SBP and DBP increased rapidly, with peak values at 20&#x2013;40 min, and then reverted to basal or even lower levels. Although HT patients maintained higher BP values throughout the test (p&lt;0.0001 versus normotensive subjects), this trend was similar in the three groups. By contrast, except for an early increase in NT+ men, heart rate was not significantly affected by the oral water load (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). No differences in baseline plasma osmolarity, as well as serum copeptin levels, were observed among the groups. However, as expected, water load resulted in a significant reduction in both parameters (p&lt;0.001 compared to baseline for all groups, <xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A, B</bold>
</xref>). Notably, at 120 minutes, while plasma osmolarity was similar among groups, NT+ subjects showed a blunted decrease in serum copeptin levels (p&lt;0.05 versus NT- group).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Blood pressure time course in response to oral water loading. In response to oral water loading, systolic <bold>(A)</bold> and diastolic <bold>(B)</bold> blood pressure increased rapidly with maximum values at 20 to 60 minutes and then reverted to basal or lower levels. Although hypertensive patients (HT) maintained higher BP values throughout the test (p&lt;0.0001), this trend was similar in the three groups. *p&lt;0.05, **p&lt;0.01, ***p&lt;0.001, ****p&lt;0.0001 versus T0 for HT group; &#xb0;p&lt;0.05, &#xb0;&#xb0;p&lt;0.01, &#xb0;&#xb0;&#xb0;p&lt;0.001, &#xb0;&#xb0;&#xb0;&#xb0;p&lt;0.0001 versus T0 for normotensive subjects with family history of hypertension (NT+); <sup>#</sup>p&lt;0.05, <sup>###</sup>p&lt;0.001, <sup>####</sup>p&lt;0.0001 versus T0 for the normotensive group (NT-); two-way ANOVA with repeated measures followed by Dunnett&#x2019;s <italic>post-hoc</italic> test.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1346082-g001.tif"/>
</fig>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Heart rate time course in response to oral water loading. Heart Rate was not significantly influenced by oral water loading, except for a modest increase at 20 minutes in normotensive subjects with a family history of hypertension (NT+). &#xb0;&#xb0;p&lt;0.01 versus T0 for NT+ group; two-way ANOVA with repeated measures followed by Dunnett&#x2019;s <italic>post-hoc</italic> test. NT-, normotensive subjects; HT, hypertensive patients.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1346082-g002.tif"/>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Time course of plasma osmolarity and serum copeptin levels in response to an oral water load. Oral water load resulted in a significant decrease in both plasma osmolarity <bold>(A)</bold> and serum copeptin <bold>(B)</bold> levels (p&lt;0.0001 compared to baseline for all groups). No differences in plasma osmolarity were observed among the groups. By contrast, at 120 minutes the water load-induced reduction in serum copeptin, expressed as a percent change from baseline, was significantly lower in subjects with a family history of hypertension (NT+). &#xb0;p&lt;0.05 versus NT- group; two-way ANOVA <bold>(A)</bold> and mixed-effect model <bold>(B)</bold> with repeated measures followed by Dunnett&#x2019;s <italic>post-hoc</italic> test. NT-, normotensive subjects; HT, hypertensive patients.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1346082-g003.tif"/>
</fig>
<p>Similarly, as illustrated in <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>, in all groups, urinary hyaluronidase activity was significantly reduced by water load, reaching the lowest levels at 120&#xa0;min (p&lt;0.0001 versus baseline for all groups) and then gradually recovering to baseline values (p&lt;0.01 versus baseline for HT patients, p&lt;0.001 for NT- and NT+ subjects). In addition, while the trends over time of NT- and HT groups were overlapping, NT+ men showed significantly higher values at both 60 and 120&#xa0;min after water loading (p&lt;0.0001 versus NT-).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Urinary hyaluronidase activity following oral water loading. Urinary hyaluronidase activity, assessed by turbidimetric assay, was significantly reduced by water drinking, with minimal levels at 120 minutes (p&lt;0.0001 compared to baseline for all groups) and then gradually recovered to baseline values (compared to baseline, p&lt;0.01 for hypertensive patients (HT), p&lt;0.001 for normotensive subjects). Although lower at T0, at 60 and 120 minutes, hyaluronidase activity levels were higher in normotensive subjects with family history of hypertension (NT+) compared to the normotensive ones (NT-). *p&lt;0.05, HT versus NT- subjects; &#xb0;p&lt;0.05, &#xb0;&#xb0;&#xb0;&#xb0;p&lt;0.0001, NT+ versus NT- subjects; two-way ANOVA with repeated measures followed by Dunnett&#x2019;s <italic>post-hoc</italic> test.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1346082-g004.tif"/>
</fig>
<p>Assessing the AQP2/creatinine ratio in urine, we observed a similar time course (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). Indeed, after water drinking, the AQP2/creatinine ratio rapidly decreased from 20&#xa0;min onward to reach minimum values at 90&#x2013;120 min (p&lt;0.0001 for all groups at both times). Again, trends over time were comparable among groups, but NT+ and HT subjects had higher values than the NT- ones, especially in the first 2 hours of the test.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Aquaporln2 (AQP2)/creatinine ratio in response to oral water loading. After water drinking, the AQP2/creatinine ratio rapidly decreased to reach minimum values at 90 and 120 minutes (p&lt;0.0001 for all groups at both times). Trends over time were comparable between groups, but hypertensive patients (HT) and normotensive subjects with family history of hypertension (NT+) maintained higher values than the normotensive group (NT-). *p&lt;0.05, **p&lt;0.01, ****p&lt;0.0001, HT versus NT- subjects; &#xb0;p&lt;0.05, &#xb0;&#xb0;p&lt;0.01, &#xb0;&#xb0;&#xb0;p&lt;0.001, &#xb0;&#xb0;&#xb0;&#xb0;p&lt;0.0001, NT+ versus NT- subjects; two-way ANOVA with repeated measures followed by Dunnett&#x2019;s <italic>post-hoc</italic> test.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1346082-g005.tif"/>
</fig>
<p>In light of these findings, the association between urinary hyaluronidase activity and the AQP2/creatinine ratio was studied. As depicted in <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>, including all men, we found significant positive correlations at any time point, especially between 60 and 180&#xa0;min after water load (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6B&#x2013;D</bold>
</xref>). Interestingly, when we carried out regression analyses by groups, we observed globally consistent results, confirming the data obtained on the entire cohort (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Correlations between urinary hyaluronidase activity and AQP2/Creatinine ratio levels. Onset <bold>(A)</bold>, 60 <bold>(B)</bold>, 120 <bold>(C)</bold>, 180 <bold>(D)</bold> and 240 <bold>(E)</bold> minutes after oral water loading. Simple linear regression.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1346082-g006.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Correlations between urinary hyaluronidase activity and AQP2/creatinine ratio.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Minutes</th>
<th valign="middle" align="center">NT-<break/>(n=29)</th>
<th valign="middle" align="center">NT+<break/>(n=36)</th>
<th valign="middle" align="center">HT<break/>(n=21)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">
<bold>0</bold>
</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.137*</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.070</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.332**</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>60</bold>
</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.341***</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.291***</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.354**</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>120</bold>
</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.326**</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.471****</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.438**</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>180</bold>
</td>
<td valign="middle" align="center">r<sup>2</sup> = 0248**</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.150*</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.051</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>240</bold>
</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.106</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.059</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.125</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Hyaluronidase activity and AQP2/creatinine ratio were measured in urine every 60 minutes after water loading test by turbidimetric assay and ELISA, respectively. All correlations are positive. AQP2, Aquaporin 2; NT-, Normotensive subjects; NT+, Normotensive subjects with family history of hypertension; HT, Hypertensive subjects.</p>
</fn>
<fn>
<p>*<italic>p</italic>&lt;0.05, **<italic>p</italic>&lt;0.01, ***<italic>p</italic>&lt;0.001, ****<italic>p</italic>&lt;0.0001, Simple Linear Regression.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>When evaluating the associations between SBP and hyaluronidase activity, as well as AQP2/creatinine ratio, significant correlations were found only in the NT- group (<xref ref-type="table" rid="T3">
<bold>Tables&#xa0;3</bold>
</xref>, <xref ref-type="table" rid="T4">
<bold>4</bold>
</xref>, respectively). In particular, while SBP was positively correlated with urinary hyaluronidase activity at baseline and at the end of the test (p&lt;0.01 at 0 and p&lt;0.05 at 240&#xa0;min, <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>), a significant positive correlation with the AQP2/creatinine ratio was detected at T0 and 40&#xa0;min after water drinking (p&lt;0.05 and p&lt;0.01, respectively, <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>), which corresponded to peak SBP levels (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Correlations between SBP and urinary hyaluronidase activity.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Minutes</th>
<th valign="middle" align="center">NT-<break/>(n=29)</th>
<th valign="middle" align="center">NT+<break/>(n=36)</th>
<th valign="middle" align="center">HT<break/>(n=21)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">
<bold>0</bold>
</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.308 (pos)**</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.002 (neg)</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.010 (pos)</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>60</bold>
</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.003 (neg)</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.017 (neg)</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.003 (neg)</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>120</bold>
</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.04 (neg)</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.004 (pos)</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.000</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>180</bold>
</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.018 (neg)</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.022 (neg)</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.004 (neg)</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>240</bold>
</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.166 (pos)*</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.004 (pos)</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.013 (neg)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SBP and urinary hyaluronidase activity by turbidimetric assay were assessed every 60 minutes after water loading test. SBP, Systolic Blood Pressure; NT-, Normotensive subjects; NT+, Normotensive subjects with family history of hypertension; HT, Hypertensive subjects.</p>
</fn>
<fn>
<p>*<italic>p</italic>&lt;0.05, **<italic>p</italic>&lt;0.01, Simple Linear Regression.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Correlations between SBP and urinary AQP2/creatinine ratio.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Minutes</th>
<th valign="middle" align="center">NT-<break/>(n=29)</th>
<th valign="middle" align="center">NT+<break/>(n=36)</th>
<th valign="middle" align="center">HT<break/>(n=21)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">
<bold>0</bold>
</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.175 (pos)*</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.000</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.044 (neg)</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>20</bold>
</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.103 (pos)</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.004 (neg)</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.018 (neg)</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>40</bold>
</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.241 (pos)**</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.005 (neg)</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.018 (neg)</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>60</bold>
</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.109 (pos)</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.013 (neg)</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.028 (neg)</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>120</bold>
</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.047 (neg)</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.022 (neg)</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.018 (neg)</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>180</bold>
</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.036 (neg)</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.070 (neg)</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.003 (pos)</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>240</bold>
</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.054 (pos)</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.000</td>
<td valign="middle" align="center">r<sup>2</sup> = 0.077 (neg)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SBP and urinary AQP2/creatinine ratio were assessed every 20 minutes during the 1<sup>st</sup> hour, then every 60 minutes until 240 minutes after water loading test. AQP2, Aquaporin 2; NT-, Normotensive subjects; NT+, Normotensive subjects with no familial history hypertension; HT, Hypertensive subjects.</p>
</fn>
<fn>
<p>*<italic>p</italic>&lt;0.05, **<italic>p</italic>&lt;0.01, Simple Linear Regression.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>In our study, we first demonstrated that urinary hyaluronidase activity markedly decreases in response to an oral water load, reaching its lowest levels after 120&#xa0;min. Notably, at this time, NT+ subjects showed significantly higher values than both NT- and HT men. Interestingly, the time course of serum copeptin levels and urine AQP2/creatinine ratio followed that of hyaluronidase activity with a close direct correlation. These data, along with the positive associations observed between SBP and both urinary hyaluronidase activity and AQP2/creatinine ratio, support the existence of a close relationship between renal hyaluronidases and vasopressinergic system activation, which could affect water metabolism under both normotensive and sustained hypertensive conditions.</p>
<p>Acute oral water intake is known to increase BP in several animal species (<xref ref-type="bibr" rid="B29">29</xref>) as well as in patients with orthostatic hypotension symptoms due to autonomic failure (<xref ref-type="bibr" rid="B30">30</xref>). In our cohort, we observed a significant and early increase in SBP and, to a lesser extent, DBP levels, which reached their highest values about 20&#xa0;min after the oral water load. These findings, largely consistent with most of the literature (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B31">31</xref>&#x2013;<xref ref-type="bibr" rid="B34">34</xref>), have been reported to be associated with increased plasma norepinephrine levels, muscle sympathetic nerve activity and peripheral vascular resistance, which would be counterbalanced by vagal modulation and baroreflex activation (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B32">32</xref>). In accordance with this, in response to the oral water load, we found no significant changes in heart rate, except for a modest increase in NT+ subjects at 20&#xa0;min. Interestingly, SBP levels increased by 8.9 +/- 0.3 mmHg in HT group versus 4.6 +/- 0.3 mmHg and 2.7 +/- 0.3 mmHg in NT+ and NT- men, respectively, suggesting a greater sympathetic response to water drinking in HT patients. These data, confirming the results of Velasquez et&#xa0;al. (<xref ref-type="bibr" rid="B27">27</xref>), are in agreement with the finding of higher basal muscle sympathetic nerve activity in subjects with mild hypertension compared to the normotensive ones (<xref ref-type="bibr" rid="B32">32</xref>). In previous studies, no changes were detected in plasma volume, plasma renin activity and sodium balance (<xref ref-type="bibr" rid="B32">32</xref>). Furthermore, the pressor effect of drinking water did not appear to be related to water temperature or gastric distension (<xref ref-type="bibr" rid="B29">29</xref>) and was not obtained when pure water was replaced by salt water (<xref ref-type="bibr" rid="B32">32</xref>) or administered via intravenous infusion (<xref ref-type="bibr" rid="B29">29</xref>). Drinking water would rather activate postganglionic sympathetic neurons directly (<xref ref-type="bibr" rid="B33">33</xref>) or, alternatively, through a gastro-pressor reflex mediated by the osmoreceptors in the proximal gut and portal system (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>), triggering both sympathetic activation and reflex inhibition of AVP secretion (<xref ref-type="bibr" rid="B31">31</xref>). Indeed, whereas in response to oral water loading, Velasquez et&#xa0;al. did not show any difference in plasma AVP levels (<xref ref-type="bibr" rid="B27">27</xref>), Geelen et&#xa0;al. demonstrated a rapid decrease followed by a long-lasting inhibition of AVP secretion which was not accompanied by changes in the renin-angiotensin-aldosterone system (RAAS) (<xref ref-type="bibr" rid="B31">31</xref>).</p>
<p>Similar to what we observed in normotensive and hypertensive rats (data under submission), oral water load induced a significant decrease in urinary hyaluronidase activity with a nadir at 120&#xa0;min, followed by an almost complete restoration to baseline physiological values within 4 hours. Meaningfully, NT+ men, despite having lower hyaluronidase activity prior to the test, maintained significantly higher levels than NT- subjects at both 60 and 120 minutes after water load. As far as we know, this is the first time that such a result has been described. Indeed, the effects of oral water load on hyaluronidase activity have at present been studied essentially <italic>in vitro</italic> (<xref ref-type="bibr" rid="B37">37</xref>&#x2013;<xref ref-type="bibr" rid="B39">39</xref>) or in animal models (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B41">41</xref>). In particular, in rats, Stridh et&#xa0;al. (<xref ref-type="bibr" rid="B41">41</xref>) demonstrated that, upon continuous hydration, medullary HA levels increased with a peak after about 2 hours and returned to control values after about 4 hours (<xref ref-type="bibr" rid="B41">41</xref>).</p>
<p>Although the inverse relationship between the renal excretion of hyaluronidase and body hydration has been known since 1958 (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B37">37</xref>), the mechanism through which hyaluronidase activity influences water metabolism has not yet been fully elucidated. HA is a negatively charged, ubiquitously distributed linear glycosaminoglycan with a unique water-binding ability (<xref ref-type="bibr" rid="B42">42</xref>) that largely depends on its molecular weight. Indeed, when high-molecular-weight HA is above 0.2 mg/mL, inter- and intra-molecular interactions occur such that the volume occupied by HA increases, excluding other large molecules (<xref ref-type="bibr" rid="B19">19</xref>). This &#x201c;steric exclusion&#x201d; phenomenon might antagonize further water reabsorption and influence the osmotic activity in the intercellular matrix (<xref ref-type="bibr" rid="B43">43</xref>). Interestingly, in the kidney, the HA content is considerably higher in the inner medulla than in the cortex, where 80% of the filtered water is reabsorbed (<xref ref-type="bibr" rid="B19">19</xref>) and depends mainly on renal medullary interstitial cell (RMICs) activity, which is influenced by both medium osmolality and oxygen tension (<xref ref-type="bibr" rid="B38">38</xref>). In particular, high-molecular-weight HA, internalized in RMICs via the CD44-receptor, undergoes degradation by HYAL1 and HYAL2, which seems to be the main regulatory step determining HA content in the interstitial matrix (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>). A decrease in hyaluronidase activity thus results in an increase in high-molecular-weight HA content in the renal medullary, which would interfere with the urinary concentration process by modifying the kidneys&#x2019; ability to excrete or reabsorb adequate amounts of water. In addition to the &#x201c;steric exclusion&#x201d; effect, two other mechanisms have been proposed to explain this phenomenon. First, modification of the physicochemical characteristics of the interstitial matrix due to HA accumulation could compromise the medullary osmotic gradient. Alternatively, or complementarily, the functional oedema accompanying the increase in high-molecular-weight HA might widen the diffusion distances between tubules and blood vessels and hinder water reabsorption from the collecting ducts (<xref ref-type="bibr" rid="B18">18</xref>). In light of these considerations, the higher hyaluronidase activity found in NT+ subjects strongly suggests that men predisposed to develop hypertension have a lower diuretic response to water load, possibly resulting in blood volume expansion and ultimately, hypertension development.</p>
<p>In our study, the changes in hyaluronidase activity were accompanied by broadly comparable variations over time in serum copeptin levels and urinary AQP2/creatinine ratio, which we have previously shown to reliably reflect body water balance and vasopressinergic system activation (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Moreover, a positive correlation between urinary hyaluronidase activity and AQP2/creatinine ratio was found at any time point of the test, when analyzing both the entire cohort and each subject group separately, indicating the existence of a close relationship between hyaluronidase activity and AVP. The presence of vasopressinergic V1 (<xref ref-type="bibr" rid="B44">44</xref>) and V2 receptors (<xref ref-type="bibr" rid="B45">45</xref>) has been demonstrated in RMICs and AVP has been found to enhance both the expression and synthesis of hyaluronidases. In addition, it increases sodium and urea concentration to levels optimal for hyaluronidases activity (<xref ref-type="bibr" rid="B23">23</xref>) by inducing the expression of the epithelial sodium channel ENaC and the urea transporter UT-A1, respectively (<xref ref-type="bibr" rid="B5">5</xref>). Interestingly, with regard to animal models, the Brattleboro rats, which genetically lack AVP, show higher HA content in the renal interstitium associated with exaggerated diuresis (<xref ref-type="bibr" rid="B23">23</xref>), while gerbils, having 4 times higher AVP levels than rats, have 37% lower papillary HA content which could facilitate water reabsorption to ensure water conservation (<xref ref-type="bibr" rid="B40">40</xref>).</p>
<p>Significantly, prior to oral water load and 4 hours after, that is under physiological conditions in the context of a sodium- and potassium-controlled diet, urinary hyaluronidase activity was positively correlated with SBP levels, which, in turn, were positively associated with the urinary AQP2/creatinine ratio at 0 and 40&#xa0;min, corresponding to BP rise in response to the oral water load. As mentioned above, the role of AVP in hypertension development has long been debated. Although patients suffering from syndrome of inappropriate ADH secretion (SIADH) have normal BP levels (<xref ref-type="bibr" rid="B11">11</xref>) and some authors have found no differences in plasma AVP between normotensive and hypertensive subjects (<xref ref-type="bibr" rid="B12">12</xref>), others have shown that individuals with hypertension have significantly higher levels of urinary and circulating AVP, which positively correlate with DBP (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B27">27</xref>). In addition, in a variety of rat models of hypertension, including spontaneously hypertensive and DOCA-salt sensitive rats, higher levels of AVP in urine and plasma, as well as increased pressor responsiveness to AVP, have been described (<xref ref-type="bibr" rid="B6">6</xref>). Notably, in these animals, the antidiuretic effect of AVP appears to be necessary to make possible the expansion of circulating volume upon which these hypertensive forms depend (<xref ref-type="bibr" rid="B6">6</xref>). In particular, according to Share and Crofton, for AVP to contribute to hypertension, the pressor responsiveness to it must be sufficiently high, which implies both increased vascular smooth muscle cell reactivity and impaired baroreceptor activity (<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>Thus, both the higher hyaluronidase activity levels and the increased AQP2 urinary shedding indicate that in men with a family history of hypertension, the kidneys&#x2019; ability to excrete water in response to an oral load is reduced and/or impaired. In the long-term, this altered vasopressinergic response could lead to the blood volume expansion that contributes to hypertension development in its early stages, before the sodium and RAAS contribution becomes predominant. The lack of a positive linear correlation between SBP and hyaluronidase activity, or AQP2/creatinine ratio, observed in NT+ and HT men, could be consistent with the loss of the appropriate vasopressinergic system regulation. The resulting alterations in water balance might influence BP through two distinct pathways. Indeed, as previously proposed (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B39">39</xref>), AVP could act in the renal medullary either by regulating the permeability of the apical membrane of the collecting duct principal cells through AQP2 translocation via V2 receptors, or by modifying the HA content in the interstitial matrix via V1 receptors. In particular, while the role of hyaluronidase activity would be primarily to provide conditions facilitating water flow, AQP2 channels could be recruited when higher water volumes need to be moved to rapidly restore water balance (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>).</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Putative interplay between AVP and hyaluronic acid metabolism in renal medullary interstitium. Arginin-Vasopressin (AVP) could act in the renal medullary through two distinct pathways: either by regulating the permeability of the apical membrane of the collecting duct principal cells through Aquaporin 2 (AQP2) translocation via V2 receptors, or by enhancing the activity of hyaluronidases (HYAL1/HYAL2) resulting in decreased content of high-molecular-weight hyaluronic acid (HMW-HA) in the interstitial matrix via V1 receptors. The degradation of HMW-HA into low-molecular-weight fragments (LMW-HA) would be essential to allow water diffusion from the tubules to the interstitium and, ultimately, to blood vessels. While hyaluronidase activity would primarily provide conditions facilitating water flow, AQP2 channels could be recruited when higher water volumes need to be moved to rapidly restore water balance. RMICs, renal medullary interstitial cells.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1346082-g007.tif"/>
</fig>
<p>Despite the novel and innovative findings, our study has some limitations. First, we do not currently have measurements of plasma AVP levels, urine osmolarity, or urine sodium and potassium concentrations during the water load test, which could have been important for a more complete explanation of our results. Second, hyaluronidase activity was not assessed between 0 and 60&#xa0;min after the oral water load, when BP increased and the AQP2/creatinine ratio began to drop. Third, women were excluded from our study, limiting the generalization of our findings. It is, however, well-known that the incidence and severity of hypertension are lower in females than in age-matched males due to the protective effects of estrogens, which beside acting on cardiovascular and renal systems, regulate the expression and secretion of AVP by the hypothalamic paraventricular nuclei (<xref ref-type="bibr" rid="B46">46</xref>). Recent data obtained in rats also demonstrate that estradiol prevents salt-dependent hypertension by suppressing salt-induced GABA-ergic excitation in AVP-secreting neurons, resulting in AVP secretion that plays a crucial role in the development and maintenance of hypertension in these animals (<xref ref-type="bibr" rid="B47">47</xref>). To avoid any potential misleading interpretation of our results, we thus decided to exclude women, including those of postmenopausal age. Indeed, as study subjects were young men aged 20 to 52 years, the inclusion of postmenopausal women would have introduced an additional potentially confounding factor related to age. Further, our sample size is quite limited, but to the best of our knowledge, our study is the first to assess hyaluronidase activity under hyperhydration conditions in men and to evaluate its relationship with BP regulation not only in hypertensive patients, but also in normotensive subjects with a family history of hypertension. In this regard, it is noteworthy that after a follow-up period of 8&#x2013;11 years from the water load test, 30% of NT+ men were diagnosed as hypertensive compared to 14% of NT- men. This does not mean that all NT+ subjects will necessarily develop this disease during their lifetime. However, since the men&#x2019;s age at the follow-up ranged from 28 to 47 years, having both parents suffering from sustained hypertension is confirmed as a strong predisposing factor for the early development of arterial hypertension. Finally, since this is a noninterventional study, the associations we have pointed out allow us only to speculate about the potential role of AVP in BP regulation, but not to establish a causality link between the AVP-induced changes in HA metabolism and the predisposition to hypertension. Further confirmation of our hypotheses may come from data obtained under water deprivation conditions, which are currently being processed.</p>
<p>In conclusion, in our study we demonstrated for the first time the existence in men of a close association between urinary hyaluronidase activity and vasopressinergic system activation, expressed by serum copeptin levels and urinary AQP2/creatinine ratio. These findings confirm that HA handling is highly involved in renal water metabolism under the influence of AVP, which could play a key role in BP regulation under both physiological and water-load conditions by alternatively targeting hyaluronidase activity and the AQP2 channel system. With the reservation of being confirmed in larger samples, our results contribute to shed light on the complex interactions involved in the endocrine regulation of BP and highlight some pathophysiological aspects that may be deeply implicated in hypertension susceptibility, paving the way for novel potential target to act upon in the early stages of hypertension development.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<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 id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Ethics Committee of University Hospital of Parma. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>AnC: Data curation, Investigation, Software, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. AB: Conceptualization, Data curation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Methodology, Software. IV: Conceptualization, Data curation, Investigation, Writing &#x2013; review &amp; editing. GF: Data curation, Investigation, Writing &#x2013; original draft. VV: Data curation, Investigation, Writing &#x2013; review &amp; editing. PC: Data curation, Investigation, Writing &#x2013; review &amp; editing. AM: Conceptualization, Writing &#x2013; review &amp; editing, Methodology, Project, Resources, Supervision. AdC: Conceptualization, Data curation, Funding acquisition, Investigation, Writing &#x2013; review &amp; editing, Methodology, Project, Supervision.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The study was supported by the Italian Ministry of University and Scientific Research (COFIN-CV2016_0008) and the P.A.R.I.D.E. Research Project grant (CV04/01-03) from University of Parma (Progetto di Ateneo per la Ricerca Scientifica Intra-Universitaria di Eccellenza). No other financial support was received for publication.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors thank Prof. Alberico Borghetti for the great knowledge given and the financial support provided, as well as the nursing staff of the Day Hospital ward of the Internal Medicine Department for their meticulous work carried out during the water load test.</p>
</ack>
<sec id="s9" 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="s10" 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>
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