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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Physiol.</journal-id>
<journal-title>Frontiers in Physiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Physiol.</abbrev-journal-title>
<issn pub-type="epub">1664-042X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fphys.2020.606811</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Physiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Increased (Pro)renin Receptor Expression in the Hypertensive Human Brain</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Mohsin</surname>
<given-names>Minhazul</given-names>
</name>
<xref rid="aff1" ref-type="aff">
<sup>1</sup>
</xref>
<xref rid="aff2" ref-type="aff">
<sup>2</sup>
</xref>
<xref rid="fn3" ref-type="author-notes"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1107338/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Souza</surname>
<given-names>Lucas A. C.</given-names>
</name>
<xref rid="aff1" ref-type="aff">
<sup>1</sup>
</xref>
<xref rid="aff2" ref-type="aff">
<sup>2</sup>
</xref>
<xref rid="fn3" ref-type="author-notes"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1109560/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Aliabadi</surname>
<given-names>Simindokht</given-names>
</name>
<xref rid="aff1" ref-type="aff">
<sup>1</sup>
</xref>
<xref rid="aff2" ref-type="aff">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Worker</surname>
<given-names>Caleb J.</given-names>
</name>
<xref rid="aff1" ref-type="aff">
<sup>1</sup>
</xref>
<xref rid="aff2" ref-type="aff">
<sup>2</sup>
</xref>
<xref rid="fn3" ref-type="author-notes"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1137334/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cooper</surname>
<given-names>Silvana G.</given-names>
</name>
<xref rid="aff1" ref-type="aff">
<sup>1</sup>
</xref>
<xref rid="aff2" ref-type="aff">
<sup>2</sup>
</xref>
<xref rid="fn3" ref-type="author-notes"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Afrin</surname>
<given-names>Sanzida</given-names>
</name>
<xref rid="aff1" ref-type="aff">
<sup>1</sup>
</xref>
<xref rid="aff2" ref-type="aff">
<sup>2</sup>
</xref>
<xref rid="fn3" ref-type="author-notes"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1138115/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Murata</surname>
<given-names>Yuki</given-names>
</name>
<xref rid="aff3" ref-type="aff">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1109813/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xiong</surname>
<given-names>Zhenggang</given-names>
</name>
<xref rid="aff4" ref-type="aff">
<sup>4</sup>
</xref>
<xref rid="fn3" ref-type="author-notes"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/656224/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Feng Earley</surname>
<given-names>Yumei</given-names>
</name>
<xref rid="aff1" ref-type="aff">
<sup>1</sup>
</xref>
<xref rid="aff2" ref-type="aff">
<sup>2</sup>
</xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<xref rid="fn3" ref-type="author-notes"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1087620/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Departments of Pharmacology and Physiology &#x0026; Cell Biology, University of Nevada, Reno, School of Medicine</institution>, <addr-line>Reno, NV</addr-line>, <country>United States</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Center for Molecular and Cellular Signaling in the Cardiovascular System, University of Nevada</institution>, <addr-line>Reno, NV</addr-line>, <country>United States</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Faculty of Medicine, Tokyo Medical and Dental University</institution>, <addr-line>Tokyo</addr-line>, <country>Japan</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Pathology and Laboratory Medicine, Robert Wood Johnson Medical School, Rutgers University</institution>, <addr-line>New Brunswick, NJ</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn id="fn1" fn-type="edited-by">
<p>Edited by: Jin Kwon Jeong, George Washington University, United States</p>
</fn>
<fn id="fn2" fn-type="edited-by">
<p>Reviewed by: Kamal Rahmouni, The University of Iowa, United States; J. Thomas Cunningham, University of North Texas Health Science Center, United States</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Yumei Feng Earley, <email>yumeifeng@med.unr.edu</email>
</corresp>
<fn id="fn3" fn-type="equal">
<p><sup>&#x2020;</sup>ORCID:</p>
<p>Minhazul Mohsin</p>
<p><ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0003-0806-3885">orcid.org/0000-0003-0806-3885</ext-link>
</p>
<p>Lucas A. C. Souza</p>
<p><ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0003-1512-3030">orcid.org/0000-0003-1512-3030</ext-link>
</p>
<p>Caleb J. Worker</p>
<p><ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0003-2649-7943">orcid.org/0000-0003-2649-7943</ext-link>
</p>
<p>Silvana G. Cooper</p>
<p><ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0002-5089-3623">orcid.org/0000-0002-5089-3623</ext-link>
</p>
<p>Sanzida Afrin</p>
<p><ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0003-0806-3885">orcid.org/0000-0003-0806-3885</ext-link>
</p>
<p>Zhenggang Xiong</p>
<p><ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0002-1600-4642">orcid.org/0000-0002-1600-4642</ext-link>
</p>
<p>Yumei Feng Earley</p>
<p><ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0002-4138-0105">orcid.org/0000-0002-4138-0105</ext-link>
</p>
</fn>
<fn id="fn4" fn-type="other">
<p>This article was submitted to Integrative Physiology, a section of the journal Frontiers in Physiology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>11</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="collection">
<year>2020</year>
</pub-date>
<volume>11</volume>
<elocation-id>606811</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>09</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>11</month>
<year>2020</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2020 Mohsin, Souza, Aliabadi, Worker, Cooper, Afrin, Murata, Xiong and Feng Earley.</copyright-statement>
<copyright-year>2020</copyright-year>
<copyright-holder>Mohsin, Souza, Aliabadi, Worker, Cooper, Afrin, Murata, Xiong and Feng Earley</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>Overactivation of the renin-angiotensin system (RAS) &#x2013; a central physiological pathway involved in controlling blood pressure (BP) &#x2013; leads to hypertension. It is now well-recognized that the central nervous system (CNS) has its own local RAS, and the majority of its components are known to be expressed in the brain. In physiological and pathological states, the (pro)renin receptor (PRR), a novel component of the brain RAS, plays a key role in the formation of angiotensin II (Ang II) and also mediates Ang II-independent PRR signaling. A recent study reported that neuronal PRR activation is a novel mechanism for cardiovascular and metabolic regulation in obesity and diabetes. Expression of the PRR is increased in cardiovascular regulatory nuclei in hypertensive (HTN) animal models and plays an important role in BP regulation in the CNS. To determine the clinical significance of the brain PRR in human hypertension, we investigated whether the PRR is expressed and regulated in the paraventricular nucleus of the hypothalamus (PVN) and rostral ventrolateral medulla (RVLM) &#x2013; two key cardiovascular regulatory nuclei &#x2013; in postmortem brain samples of normotensive (NTN) and HTN humans. Here, we report that the PRR is expressed in neurons, but not astrocytes, of the human PVN and RVLM. Notably, PRR immunoreactivity was significantly increased in both the PVN and RVLM of HTN subjects. In addition, PVN-PRR immunoreactivity was positively correlated with systolic BP (sBP) and showed a tendency toward correlation with age but not body mass index (BMI). Collectively, our data provide clinical evidence that the PRR in the PVN and RVLM may be a key molecular player in the neural regulation of BP and cardiovascular and metabolic function in humans.</p>
</abstract>
<kwd-group>
<kwd>(pro)renin receptor/(P)RR</kwd>
<kwd>human hypertension</kwd>
<kwd>paraventricular nucleus of the hypothalamus</kwd>
<kwd>rostral ventrolateral medulla</kwd>
<kwd>renin-angiotensin system</kwd>
</kwd-group>
<contract-num rid="cn1">R01HL122770</contract-num>
<contract-num rid="cn1">R01HL091905</contract-num>
<contract-num rid="cn2">1P20GM130459</contract-num>
<contract-sponsor id="cn1">National Institutes of Health (NIH/NHLBI</contract-sponsor>
<contract-sponsor id="cn2">NIH/NIGMS</contract-sponsor>
<counts>
<fig-count count="8"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="53"/>
<page-count count="10"/>
<word-count count="7743"/>
</counts>
</article-meta>
</front>
<body>
<sec id="sec1" sec-type="intro">
<title>Introduction</title>
<p>Recent studies have reported that ~46% of United States adults of 20 years of age or older suffer from hypertension (<xref ref-type="bibr" rid="ref33">Muntner et al., 2018</xref>). It is predicted that the global prevalence of hypertension will rise to 60% by 2025, affecting over 1.56 billion people (<xref ref-type="bibr" rid="ref23">Kearney et al., 2005</xref>). Hypertension is one of the most important risk factors for cardiovascular diseases, which lead to stroke, myocardial infarction, congestive heart failure, and chronic kidney diseases (<xref ref-type="bibr" rid="ref37">Nwankwo et al., 2013</xref>; <xref ref-type="bibr" rid="ref15">Go et al., 2014</xref>). Blood pressure (BP) control mechanisms are complex and are maintained by integrated neural, humoral, and renal mechanism that collectively mediate salt retention and sympathetic activation, among other actions (<xref ref-type="bibr" rid="ref38">Paton and Raizada, 2010</xref>; <xref ref-type="bibr" rid="ref4">Blaustein et al., 2011</xref>; <xref ref-type="bibr" rid="ref18">Hall et al., 2015</xref>). The circulatory renin-angiotensin system (RAS), an active focus of research since the discovery of renin more than 100 years ago, plays a pivotal role in BP control (<xref ref-type="bibr" rid="ref52">Xu et al., 2016</xref>; <xref ref-type="bibr" rid="ref14">Forrester et al., 2018</xref>). In addition to the circulatory RAS, various tissues throughout the body, including the brain, kidney, heart, blood vessels, lungs, adipose tissue, adrenal gland, pancreas, liver, placenta, muscle, and the eye, possess all RAS components (<xref ref-type="bibr" rid="ref36">Nguyen et al., 2002</xref>; <xref ref-type="bibr" rid="ref39">Paul et al., 2006</xref>; <xref ref-type="bibr" rid="ref43">Ribeiro-Oliveira et al., 2008</xref>). Notable in this context, overactivation of the brain RAS plays a major role in neurohumoral and autonomic dysregulation, an important mechanism leading to cardiovascular and metabolic disorders, including hypertension (<xref ref-type="bibr" rid="ref1">Basting and Lazartigues, 2017</xref>; <xref ref-type="bibr" rid="ref34">Nakagawa et al., 2020</xref>).</p>
<p>The (pro)renin receptor (PRR), a novel component of the RAS encoded by the AT6AP2 gene, first cloned in 2002 (<xref ref-type="bibr" rid="ref36">Nguyen et al., 2002</xref>), non-proteolytically activates prorenin and initiates the local production of angiotensin (Ang) II (<xref ref-type="bibr" rid="ref36">Nguyen et al., 2002</xref>, <xref ref-type="bibr" rid="ref35">2004</xref>); it also mediates Ang II-independent signaling pathways (<xref ref-type="bibr" rid="ref36">Nguyen et al., 2002</xref>; <xref ref-type="bibr" rid="ref9">Cuadra et al., 2010</xref>; <xref ref-type="bibr" rid="ref40">Peng et al., 2013</xref>; <xref ref-type="bibr" rid="ref52">Xu et al., 2016</xref>). Under normal physiological conditions, the PRR is expressed at higher levels in the heart, brain, and placenta, and at comparatively lower levels in the kidney and liver (<xref ref-type="bibr" rid="ref36">Nguyen et al., 2002</xref>). The PRR is highly expressed in mouse brain regions, including cardiovascular regulatory nuclei, such as the subfornical organ (SFO), paraventricular nucleus of the hypothalamus (PVN), supraoptic nucleus (SON), rostral ventrolateral medulla (RVLM), and nucleus tractus solitarius (NTS; <xref ref-type="bibr" rid="ref7">Contrepas et al., 2009</xref>; <xref ref-type="bibr" rid="ref27">Li et al., 2012</xref>; <xref ref-type="bibr" rid="ref52">Xu et al., 2016</xref>). In the human brain, the PRR is reported to be expressed in the hypothalamus and pituitary (<xref ref-type="bibr" rid="ref50">Takahashi et al., 2010</xref>). Recently, our research group also reported that PRR expression in the SFO is elevated in hypertensive (HTN) humans (<xref ref-type="bibr" rid="ref8">Cooper et al., 2018</xref>).</p>
<p>The PVN and RVLM are two major cardiovascular regulatory nuclei that control BP. The PVN is an integrative network center that directly receives angiotensinergic and sympathoexcitatory projections from neurons in circumventricular organs in the forebrain (<xref ref-type="bibr" rid="ref12">Dampney et al., 2018</xref>), whereas the RVLM contains sympathetic neurons that control and receive afferent inputs from the PVN. Microinjection of human (pro)renin into the PVN increases splanchnic sympathetic nerve activity in rats, an effect that is reversed by co-administration of a PRR antagonist (<xref ref-type="bibr" rid="ref20">Huber et al., 2015</xref>). These observations suggest that (pro)renin acts through the PRR in the PVN to play a role in regulating splanchnic sympathetic nerve activity and, potentially, downstream metabolic organs. A recent study reported that neuronal PRR activation is a novel mechanism for cardiovascular and metabolic regulation in obesity and diabetes (<xref ref-type="bibr" rid="ref51">Worker et al., 2020</xref>). Despite evidence from preclinical studies suggesting a pivotal role for the PRR in cardiovascular diseases (<xref ref-type="bibr" rid="ref46">Shan et al., 2010</xref>; <xref ref-type="bibr" rid="ref27">Li et al., 2012</xref>; <xref ref-type="bibr" rid="ref20">Huber et al., 2015</xref>; <xref ref-type="bibr" rid="ref48">Souza et al., 2019</xref>), the clinical importance of the PRR in the PVN and RVLM has yet to be defined.</p>
<p>In the present study, we investigated the expression and cell-specific localization of the PRR in the human PVN and RVLM and assessed its clinical significance in HTN subjects. We detected PRR immunoreactivity in neurons in both of these regions, but not in astrocytes. Importantly, PRR expression was significantly higher in the PVN and RVLM of HTN humans compared with normotensive (NTN) subjects, and PVN-PRR immunoreactivity was significantly correlated with systolic BP (sBP) and showed a tendency toward correlation with age.</p>
</sec>
<sec id="sec2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="sec3">
<title>Human Subjects</title>
<p>A total of 23 human brains samples from autopsies were collected at the Tulane Medical Center between May 2011 and August 2015. Brain tissues were collected within 5 h of death. The PVN and RVLM brain regions were confirmed by microscopic examination using hematoxylin and eosin (H&#x0026;E) staining, with reference to a human brain atlas (<xref ref-type="bibr" rid="ref13">Ding et al., 2016</xref>). For the RVLM, we used an anti-tyrosine hydroxylase (TH) antibody to identify the C1 group of catecholaminergic neurons as an additional landmark. In the final analysis, the PVN could be identified in 11 of the 23 brain specimens (four NTNs, seven HTNs), and the RLVM could be identified in nine specimens (four NTNs, five HTNs). An example of human PVN identification is presented in <xref rid="fig1" ref-type="fig">Figure 1</xref>, which shows a schematic of the human PVN (<xref rid="fig1" ref-type="fig">Figure 1A</xref>) with H&#x0026;E staining and immunohistochemical labeling of the PRR using 3,3'-diaminobenzidine (DAB) as a substrate (<xref rid="fig1" ref-type="fig">Figures 1B</xref>,<xref rid="fig1" ref-type="fig">C</xref>). <xref rid="fig2" ref-type="fig">Figure 2</xref> shows a schematic illustration of the human RVLM (<xref rid="fig2" ref-type="fig">Figure 2A</xref>), with H&#x0026;E staining and immunohistochemical labeling of the PRR and TH (<xref rid="fig2" ref-type="fig">Figures 2B</xref>&#x2013;<xref rid="fig2" ref-type="fig">D</xref>). Brain tissues with no identifiable PVN or RVLM were excluded from our final analysis. All clinical data, including patient history and diagnosis, were collected, documented, and de-identified. BP used for analyses, recorded in study participants during standard care, was obtained from patient charts. The designations of hypertension and normotension used in this study are based on the individual clinical diagnosis of each human subject according to the retrospective clinical record. The next of kin consented to all autopsies and tissue collection through a standard medical autopsy protocol. This study was approved by the Institutional Review Board and the Research Integrity Offices at the University of Nevada, Reno, and complies with human research project oversight by the Institutional Review Board.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Mapping and identification of the paraventricular nucleus of the hypothalamus (PVN) in the human brain. Representative images showing the identified PVN region in a human brain section. <bold>(A)</bold> Schematic atlas showing the mapped location of the PVN. <bold>(B,C)</bold> Representative images showing hematoxylin and eosin (H&#x0026;E) staining <bold>(B)</bold> and immunohistochemical detection of the (pro)renin receptor (PRR; <bold>C</bold>) in the identified PVN region of the human brain. Fx, fornics; Ot, optic tract.</p>
</caption>
<graphic xlink:href="fphys-11-606811-g001.tif"/>
</fig>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Mapping and identification of the rostral ventrolateral medulla (RVLM) in the human brain. Representative images showing the identified RVLM region in a human brain section. <bold>(A)</bold> Schematic atlas showing the mapped location of the PVN. <bold>(B,C)</bold> Representative images showing H&#x0026;E staining and immunohistochemical detection of the PRR in the identified RVLM region of the human brain. <bold>(D)</bold> Immunohistochemical staining with an anti-tyrosine hydroxylase (TH) antibody identifying catecholaminergic neurons in the RVLM. Io, inferior olive.</p>
</caption>
<graphic xlink:href="fphys-11-606811-g002.tif"/>
</fig>
</sec>
<sec id="sec4">
<title>H&#x0026;E Staining</title>
<p>Human brain tissues containing the RVLM and PVN were dissected, fixed in 10% formalin, and embedded in paraffin. Paraffin-embedded tissues were sectioned at 5 &#x03BC;m thickness and mounted onto slides. Slide-mounted sections were rehydrated by two washes with xylene and two washes with 100% ethanol (10 min each) followed by washes with a graded ethanol series (95 to 80% and 80 to 70%, each for 3 min). After washing with phosphate-buffered saline (PBS; Fisher Scientific, Fair Lawn, NJ, United States) for 10 min, slides were incubated in hematoxylin for 1 min and then in eosin for 30 s; after each staining step, slides were washed in running tap water until the water ran clear. Finally, slides were dehydrated by washing with a graded ethanol series (50 to 70%, 70 to 80%, 80 to 95%, and 95 to 100%, each for 1 min).</p>
<p>Bright-field stitched images were captured using an optical microscope (model BZ-X710; Keyence, Elmwood Park, NJ, United States). The entire section was imaged so as to accurately identify PVN and RVLM regions by comparison with a human brain atlas (<xref ref-type="bibr" rid="ref13">Ding et al., 2016</xref>).</p>
</sec>
<sec id="sec5">
<title>Localization of the PRR in Specific Cell Types of the Human PVN and RVLM by Immunofluorescence Labeling</title>
<p>Paraffin-embedded PVN and RVLM tissues were sectioned at 5 &#x03BC;m thickness and mounted onto slides, as described previously (<xref ref-type="bibr" rid="ref8">Cooper et al., 2018</xref>). Briefly, the tissue was deparaffinized by heating slides in an oven at 60&#x00B0;C for 1 h. Sections were rehydrated by washing twice with xylene for 10 min each, followed by washing with a graded ethanol series (100 to 95% to 70 to 50 to 30%, 2 min each), and then with distilled water (dH2O) for 2 min. Antigen retrieval was performed by steaming slides in sodium citrate buffer (10 mM, pH 6.0) for 45 min. Non-specific binding was blocked by incubating with 10% goat serum for 2 h at room temperature. PVN containing sections were incubated with rabbit anti-PRR primary antibody (ab264763; Abcam, Cambridge, United Kingdom, antibody registry ID: RRID: AB_287695 at <ext-link xlink:href="http://antibodyregistry.org" ext-link-type="uri">http://antibodyregistry.org</ext-link>), diluted 1:100 in PBS containing 0.3% Triton X-100 (PBST). PVN sections were additionally incubated overnight with mouse anti-HuC/HuD monoclonal antibody (A21271; Thermo Fisher Scientific, Waltham, MA, United States), diluted to 1:50 in PBST or chicken anti-glial fibrillary acidic protein (GFAP; ab4674; Abcam), and diluted to 1:1,000 in PBST under the same conditions. Thereafter, slides were incubated at room temperature for 2 h with Alexa Fluor 594&#x2010; or Alexa Fluor 488-conjugated goat anti-rabbit (1:1,000), goat anti-mouse (1:1,000) or goat anti-chicken (1:1,000) secondary antibody, as appropriate. After staining with 4',6&#x2010; diamidino-2-phenylindole (DAPI) for 5 min, all sections were incubated in TrueBlack Lipofuscin Autofluorescence Quencher (23007, Biotium Inc., Fermont, CA, United States) for 1 min to reduce the autofluorescence from aged human brain tissue. All sections were coverslip-mounted with Vectashield hard-set mounting medium (Vector Laboratories, Burlingame, CA, United States).</p>
<p>Rostral ventrolateral medulla sections were incubated with rabbit anti-PRR primary antibody (ab264763; Abcam) and diluted to 1:100 in PBST. RVLM sections were concomitantly incubated overnight with mouse anti-HuC/HuD monoclonal antibody (A21271; Thermo Fisher Scientific), diluted to 1:50 dilution in PBST, chicken anti-GFAP (ab4674; Abcam), and diluted to 1:1,000 in PBST. Thereafter, sections were incubated at room temperature for 2 h with Alexa Fluor 594&#x2010; or Alexa Fluor 488-conjugated goat anti-rabbit (1:1,000), goat anti-chicken (1:1,000), or goat anti-mouse (1:1,000) secondary antibody, as appropriate. Sections were further stained with DAPI and TrueBlack following the same steps as described above for PVN sections. The specificity of all commercial antibodies used in this study was validated by negative control sections labeled without addition of primary antibodies, and data are presented in the respective immune-labeling figures. Images were captured using an epifluorescence microscope (model BZ-X710; Keyence).</p>
</sec>
<sec id="sec6">
<title>Immunohistochemical Evaluation of PRR Expression Levels in the Human PVN and RVLM</title>
<p>Paraventricular nucleus of the hypothalamus and RVLM tissues were fixed, paraffin-embedded, sectioned, and rehydrated, followed by antigen retrieval using Na-citrate buffer, as described above. Slides were then washed once with PBS for 5 min, placed in 3% H2O2 for 5 min, and washed in PBS for 5 min. Blockade of nonspecific binding and permeabilization was performed simultaneously by incubating with 10% goat serum in PBS containing 0.3% Triton X-100 for 1 h. For RVLM only, sections were incubated for 48 h at 4&#x00B0;C with the same rabbit anti-PRR antibody (diluted 1:50 in PBST containing 2% goat serum) or rabbit anti-TH polyclonal antibody (AB152; Millipore Sigma, Massachusetts, United States), diluted to 1:100 in PBST containing 2% goat serum. After a 10-min wash with PBS, sections were incubated with diluted, biotinylated rabbit IgG secondary antibody, a component of the Vectastain ABC HRP Peroxidase Kit (PK-4001; Vector Laboratories), for 30 min, followed by a 5-min wash in PBS. All slides were incubated at the same time for 2 min in a working solution of DAB Peroxidase Substrate (SK-4100; Vector Laboratories) containing 250 ml of dH2O, 4.2 ml of buffer stock solution, 4 ml of H2O2 solution, and 5 ml of DAB stock solution. The reaction was stopped by rinsing slides with tap water for 5 min, after which slides were coverslip-mounted using a xylenebased hard-set Cytoseal XYL mounting medium (Richard-Allen Scientific, Kalamazoo, MI, United States). All immunoreactions with DAB substrate, including no-primary antibody and pre-immune serum controls, were performed at the same time in the same DAB substrate developing solution.</p>
<p>Bright-field images were captured with an epifluorescence microscope (model BZ-X710; Keyence) using the same settings. Once the PVN or RVLM region was identified in each section, at least three to four images were captured from each section. The relative intensity of each image was analyzed using ImageJ software (version: 2.0.0-rc-68/1.52 h) and is presented as mean intensity in arbitrary units (AUs). Within each subject, the mean intensity of all images was averaged and presented as a single &#x201C;<italic>N</italic>&#x201D; value. All experiments and data analyses were performed independently in a blinded fashion by two investigators.</p>
</sec>
<sec id="sec7">
<title>Statistical Analysis</title>
<p>The significance of differences in sBP, diastolic BP (dBP), age, body mass index (BMI), and PRR immunoreactivity between HTN and NTN subjects was assessed with a two-tailed, unpaired Student&#x2019;s <italic>t</italic>-test using Prism 8 software (GraphPad, La Jolla, CA, United States). Pearson correlation and least squares linear regression were used to determine correlation and regression coefficients between variables. Differences were considered statistically significant at <italic>p</italic> &#x003C; 0.05. Multiple linear regressions were performed using SAS 9.4. All statistical tests were two-tailed, and &#x03B1; was set at 0.05. Data are reported as means &#x00B1; SEs.</p>
</sec>
</sec>
<sec id="sec8" sec-type="results">
<title>Results</title>
<sec id="sec9">
<title>Study Subject Characteristics</title>
<p>The characteristics of NTN and HTN study subjects are detailed in <xref rid="tab1" ref-type="table">Tables 1</xref>, <xref rid="tab2" ref-type="table">2</xref>. All HTN subjects were clinically diagnosed as HTN with a history of taking anti-HTN medication, and all NTN subjects had a record of normal BP with no history of diagnosed hypertension. For PVN samples, study subjects in HTN and NTN groups were similar in terms of age (<italic>p</italic> = 0.345), body weight (<italic>p</italic> = 0.428), height (<italic>p</italic> = 0.313), and BMI (<italic>p</italic> = 0.899). There were similarly no significant differences in age (<italic>p</italic> = 0.201), body weight (<italic>p</italic> = 0.384), height (<italic>p</italic> = 0.708), or BMI (<italic>p</italic> = 0.560) among subjects from whom RVLM samples were obtained. HTN subjects from whom PVN samples were acquired had higher sBP (<italic>p</italic> = 0.001) and an increased heart rate (HR; <italic>p</italic> = 0.047) compared with NTN subjects. Similarly, HTN subjects from whom RVLM samples were obtained had higher sBP (<italic>p</italic> = 0.01) than NTN subjects; however, there was no difference in HR between groups. For both RVLM and PVN sample sets, there was no difference in dBP between HTN and NTN subjects.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Characteristics of study subjects for PVN groups.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top">Normotensive</th>
<th align="center" valign="top">Hypertensive</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Region of the brain: PVN</td>
</tr>
<tr>
<td align="left" valign="top">Number of subjects/groups</td>
<td align="left" valign="top">4</td>
<td align="left" valign="top">7</td>
</tr>
<tr>
<td align="left" valign="top">Demographics:</td>
</tr>
<tr>
<td>sex, men/women</td>
<td>2/2</td>
<td>4/3</td>
</tr>
<tr>
<td>race, Caucasian/African-American</td>
<td>1/3</td>
<td>5/2</td>
</tr>
<tr>
<td align="left" valign="top">Age, years</td>
<td align="left" valign="top">50.5 &#x00B1; 9.7</td>
<td align="left" valign="top">61 &#x00B1; 5.8</td>
</tr>
<tr>
<td align="left" valign="top">Weight, kg</td>
<td align="left" valign="top">92.6 &#x00B1; 8.4</td>
<td align="left" valign="top">104.9 &#x00B1; 10.0</td>
</tr>
<tr>
<td align="left" valign="top">Height, cm</td>
<td align="left" valign="top">167.8 &#x00B1; 3.4</td>
<td align="left" valign="top">177.1 &#x00B1; 6.2</td>
</tr>
<tr>
<td align="left" valign="top">Body mass index, kg/m<sup>2</sup>
</td>
<td align="left" valign="top">32.8 &#x00B1; 2.3</td>
<td align="left" valign="top">33.2 &#x00B1; 2.0</td>
</tr>
<tr>
<td align="left" valign="top">Last office measurements</td>
</tr>
<tr>
<td align="left" valign="top">sBP, mm/Hg</td>
<td align="left" valign="top">109.8 &#x00B1; 8.6</td>
<td align="left" valign="top">144.9 &#x00B1; 2.9<sup>&#x002A;</sup>
</td>
</tr>
<tr>
<td align="left" valign="top">dBP, mm/Hg</td>
<td align="left" valign="top">78.3 &#x00B1; 10.5</td>
<td align="left" valign="top">78.4 &#x00B1; 3.4</td>
</tr>
<tr>
<td align="left" valign="top">HR, beats/min</td>
<td align="left" valign="top">63 &#x00B1; 21.1</td>
<td align="left" valign="top">113.6 &#x00B1; 11.7<sup>&#x002A;</sup>
</td>
</tr>
<tr>
<td align="left" valign="top">Antihypertensive medications</td>
</tr>
<tr>
<td align="left" valign="top">Angiotensin-converting enzyme inhibitor, %</td>
<td align="center" valign="top">0</td>
<td align="left" valign="top">28.57</td>
</tr>
<tr>
<td align="left" valign="top">Diuretics, %</td>
<td align="center" valign="top">0</td>
<td align="left" valign="top">14.29</td>
</tr>
<tr>
<td align="left" valign="top">Vasodilator, %</td>
<td align="center" valign="top">0</td>
<td align="left" valign="top">42.86</td>
</tr>
<tr>
<td align="left" valign="top">No medication listed, %</td>
<td align="center" valign="top">0</td>
<td align="left" valign="top">14.29</td>
</tr>
<tr>
<td align="left" valign="top">Combination therapy, %</td>
<td align="center" valign="top">0</td>
<td align="left" valign="top">14.29</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Values are means &#x00B1; SEM, where appropriate; <sup>&#x002A;</sup>
<italic>p</italic> &#x2264; 0.05 vs. NTN by unpaired <italic>t</italic>-test.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Characteristics of study subjects for RVLM groups.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top">Normotensive</th>
<th align="center" valign="top">Hypertensive</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Region of the brain: RVLM</td>
</tr>
<tr>
<td align="left" valign="top">Number of subjects/groups</td>
<td align="left" valign="top">4</td>
<td align="left" valign="top">5</td>
</tr>
<tr>
<td align="left" valign="top">Demographics:</td>
</tr>
<tr>
<td>sex, men/women</td>
<td>2/2</td>
<td>3/2</td>
</tr>
<tr>
<td>race, Caucasian/African-American</td>
<td>0/4</td>
<td>3/2</td>
</tr>
<tr>
<td align="left" valign="top">Age, years</td>
<td align="left" valign="top">51.5 &#x00B1; 9.6</td>
<td align="left" valign="top">68.6 &#x00B1; 7.6</td>
</tr>
<tr>
<td align="left" valign="top">Weight, kg</td>
<td align="left" valign="top">90.4 &#x00B1; 10.1</td>
<td align="left" valign="top">111.6 &#x00B1; 18.4</td>
</tr>
<tr>
<td align="left" valign="top">Height, cm</td>
<td align="left" valign="top">172 &#x00B1; 2.8</td>
<td align="left" valign="top">178.2 &#x00B1; 7.6</td>
</tr>
<tr>
<td align="left" valign="top">Body mass index, kg/m<sup>2</sup>
</td>
<td align="left" valign="top">30.8 &#x00B1; 3.9</td>
<td align="left" valign="top">34.8 &#x00B1; 4.9</td>
</tr>
<tr>
<td align="left" valign="top">Last office measurements</td>
</tr>
<tr>
<td align="left" valign="top">sBP, mmHg</td>
<td align="left" valign="top">113.8 &#x00B1; 4.6</td>
<td align="left" valign="top">146.2 &#x00B1; 7.3<sup>&#x002A;</sup>
</td>
</tr>
<tr>
<td align="left" valign="top">dBP, mmHg</td>
<td align="left" valign="top">85.3 &#x00B1; 3.6</td>
<td align="left" valign="top">78.6 &#x00B1; 5.2</td>
</tr>
<tr>
<td align="left" valign="top">HR, beats/min</td>
<td align="left" valign="top">75.3 &#x00B1; 24.1</td>
<td align="left" valign="top">112.4 &#x00B1; 19.7</td>
</tr>
<tr>
<td align="left" valign="top">Antihypertensive medications</td>
</tr>
<tr>
<td align="left" valign="top">Angiotensin-converting enzyme inhibitor, %</td>
<td align="left" valign="top">0</td>
<td align="left" valign="top">20</td>
</tr>
<tr>
<td align="left" valign="top">Diuretics, %</td>
<td align="left" valign="top">0</td>
<td align="left" valign="top">20</td>
</tr>
<tr>
<td align="left" valign="top">Vasodilator, %</td>
<td align="left" valign="top">0</td>
<td align="left" valign="top">40</td>
</tr>
<tr>
<td align="left" valign="top">No medication listed, %</td>
<td align="left" valign="top">0</td>
<td align="left" valign="top">20</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Values are means &#x00B1; SEM, where appropriate; <sup>&#x002A;</sup>
<italic>p</italic> &#x2264; 0.05 vs. NTN by unpaired <italic>t</italic>-test.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec10">
<title>Localization of the PRR in Neurons of the Human PVN and RVLM</title>
<p>It is well-established that the PVN is a critical networking center for the angiotensinergic neural circuit in the central regulation of BP that relays excitatory pathways to the RVLM (<xref ref-type="bibr" rid="ref6">Chen and Toney, 2003</xref>; <xref ref-type="bibr" rid="ref25">Li et al., 2003</xref>; <xref ref-type="bibr" rid="ref5">Cato and Toney, 2005</xref>). We recently reported that, in the human SFO, the PRR is expressed in neurons but not in astrocytes (<xref ref-type="bibr" rid="ref8">Cooper et al., 2018</xref>). Here, we performed dual immunofluorescence labeling of the PVN for the PRR and markers of neurons or astrocytes. Within this region, we found that the PRR was colocalized with the neuronal marker HuC/HuD (<xref rid="fig3" ref-type="fig">Figure 3A</xref>) but not with the astrocyte marker GFAP (<xref rid="fig3" ref-type="fig">Figure 3B</xref>); no labeling was observed in controls (<xref rid="fig3" ref-type="fig">Figure 3C</xref>). These data indicate that the PRR is mostly expressed in neurons and not astrocytes in the human PVN.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Expression of the PRR in PVN neurons of the human brain. <bold>(A)</bold> PVN brain tissues were immunolabeled for the PRR (red) and the neuronal marker HuC/HuD (green). <bold>(B)</bold> PVN brain tissues were immunolabeled for the PRR (red) and the astrocyte marker GFAP (green). <bold>(C)</bold> Sections processed without primary antibody but with Alexa 488 (green) or Alexa 594 (red) secondary antibody were used as negative controls. ab, antibody; 1&#x00B0;, primary; and 2&#x00B0;, secondary.</p>
</caption>
<graphic xlink:href="fphys-11-606811-g003.tif"/>
</fig>
<p>The RVLM contains sympathetic neurons that control tonic and phasic arterial pressure and receives hypothalamic afferent inputs from the PVN (<xref ref-type="bibr" rid="ref10">Dampney, 1994</xref>; <xref ref-type="bibr" rid="ref49">Tagawa and Dampney, 1999</xref>). Similar to the PRR expression pattern in the PVN, we found that, in the RVLM, the PRR was expressed mostly in neurons (<xref rid="fig4" ref-type="fig">Figure 4A</xref>) and not astrocytes (<xref rid="fig4" ref-type="fig">Figure 4B</xref>); again, no labeling was observed in controls (<xref rid="fig4" ref-type="fig">Figure 4C</xref>).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Expression of the PRR in RVLM neurons of the human brain. <bold>(A)</bold> RVLM brain tissues were immunolabeled for the PRR (red) and the neuronal marker HuC/HuD (green). <bold>(B)</bold> RVLM brain tissues were immunolabeled for the PRR (red) and the astrocyte marker glial fibrillary acidic protein (GFAP; green). <bold>(C)</bold> Sections processed without primary antibody but with Alexa 488 (green) or Alexa 594 (red) secondary antibody were used as negative controls. ab, antibody; 1&#x00B0;, primary; and 2&#x00B0;, secondary.</p>
</caption>
<graphic xlink:href="fphys-11-606811-g004.tif"/>
</fig>
</sec>
<sec id="sec11">
<title>Increased PRR Immunoreactivity in the PVN and RVLM of Hypertensive Humans</title>
<p>With aging, human brain tissue develops a tendency to exhibit strong autofluorescence due to lipofuscin accumulation (<xref ref-type="bibr" rid="ref16">Goyal, 1982</xref>), as we also observed in our human brain samples. Thus, to semi-quantitatively determine PRR expression levels in the PVN and RVLM, we used immunohistochemistry, presenting staining results as relative intensity in AU. <xref rid="fig5" ref-type="fig">Figure 5</xref> (top panel) shows representative images of immunohistochemical labeling of the PRR in the PVN of NTN and HTN subjects, together with negative control staining without primary antibody. PRR immunoreactivity was significantly higher in HTN subjects compared with NTN subjects (<italic>p</italic> = 0.022), as shown in <xref rid="fig5" ref-type="fig">Figure 5D</xref>. To ensure the changes in PRR immunoreactivity in this brain region are specific, we also performed additional analysis of PRR immunoreactivity lateral outside the PVN and the background intensity (<xref rid="fig5" ref-type="fig">Figures 5E</xref>,<xref rid="fig5" ref-type="fig">F</xref>); we observed no difference between the NTN and HTN subjects. <xref rid="fig6" ref-type="fig">Figures 6A</xref>&#x2013;<xref rid="fig6" ref-type="fig">C</xref> show representative images of PRR immunoreactivity in the RVLM of NTN and HTN subjects. We found that HTN subjects exhibited significantly higher PRR immunoreactivity compared with NTN subjects (<italic>p</italic> = 0.018; <xref rid="fig6" ref-type="fig">Figure 6D</xref>). Similarly, we analyzed the PRR immunoreactivity lateral outside the RVLM and the background intensity (<xref rid="fig6" ref-type="fig">Figures 6E</xref>,<xref rid="fig6" ref-type="fig">F</xref>); we observed no difference between the NTN and HTN subjects. The data indicate elevation in the PRR immunoreactivity in both the PVN and RVLM.</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Increased PRR immunoreactivity in the PVN of the hypertensive human brain. <bold>(A,B)</bold> Representative images of PVN tissues from a normotensive (NTN) human brain and a hypertensive (HTN) human brain immunolabeled for the PRR. <bold>(C)</bold> Representative image of PVN tissue immunolabeled with rabbit pre-immune serum. <bold>(D)</bold> Significant difference in the relative intensity of PRR immunoreactivity in NTN and HTN groups in the PVN. <bold>(E)</bold> The relative intensity of PRR immunoreactivity in NTN and HTN groups in lateral PVN region. <bold>(F)</bold> The background relative intensity for NTN, HTN groups, and the negative control. (<italic>N</italic> = 7) and NTN (<italic>N</italic> = 4) subjects; <sup>&#x002A;</sup>
<italic>p</italic> &#x003C; 0.05 vs. NTN by two-tailed, unpaired Student&#x2019;s <italic>t</italic>-test.</p>
</caption>
<graphic xlink:href="fphys-11-606811-g005.tif"/>
</fig>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Increased PRR immunoreactivity in the RVLM of the hypertensive human brain. <bold>(A,B)</bold> Representative images of RVLM tissues from the NTN and HTN human brain immunolabeled for the PRR. <bold>(C)</bold> Representative image of RVLM tissue immunolabeled with rabbit pre-immune serum. <bold>(D)</bold> Significant increase in the relative intensity of PRR immunoreactivity in NTN and HTN groups in the RVLM. <bold>(E)</bold> The relative intensity of PRR immunoreactivity in NTN and HTN groups in lateral RVLM region. <bold>(F)</bold> The background relative intensity for NTN, HTN groups, and the negative control. (<italic>N</italic> = 5) and NTN (<italic>N</italic> = 4) subjects; <sup>&#x002A;</sup>
<italic>p</italic> &#x003C; 0.05 vs. NTN by two-tailed, unpaired Student&#x2019;s <italic>t</italic>-test.</p>
</caption>
<graphic xlink:href="fphys-11-606811-g006.tif"/>
</fig>
</sec>
<sec id="sec12">
<title>PRR Immunoreactivity in the PVN Is Correlated With sBP in Humans</title>
<p>To examine whether PRR immunoreactivity is correlated with BP, we performed a linear regression using Pearson correlation coefficient and least-square correlation post analyses. We found that PRR immunoreactivity in the PVN was significantly correlated with sBP (<italic>R</italic>
<sup>2</sup> = 0.6435, <italic>p</italic> = 0.0030) but not with dBP (<italic>R</italic>
<sup>2</sup> = 0.05243, <italic>p</italic> = 0.4982; <xref rid="fig7" ref-type="fig">Figures 7A</xref>,<xref rid="fig7" ref-type="fig">B</xref>). Because age, BMI, and sex are well-established factors that affect BP in humans, we also performed multiple regressions to investigate possible associations of BMI or age with PRR immunoreactivity in our study subjects. We found no significant correlation between PRR immunoreactivity in the PVN and BMI or age (<xref rid="fig7" ref-type="fig">Figures 7C</xref>,<xref rid="fig7" ref-type="fig">D</xref>). Although, there was a trend toward a positive correlation between PRR immunoreactivity and sBP in the RVLM (<italic>R</italic>
<sup>2</sup> = 0.4416, <italic>p</italic> = 0.0509), this difference did not reach statistical significance (<xref rid="fig8" ref-type="fig">Figure 8A</xref>). There was no significant correlation between PRR immunoreactivity in the RVLM and dBP, BMI, or age (<xref rid="fig8" ref-type="fig">Figures 8B</xref>&#x2013;<xref rid="fig8" ref-type="fig">D</xref>). Although not significant, the linear regression analysis showed a trend toward a positive correlation between PRR and age (<xref rid="fig7" ref-type="fig">Figures 7D</xref>, <xref rid="fig8" ref-type="fig">8D</xref>). To further determine whether age, sex, and BMI affect the relationship between PRR and sBP, we performed a multiple regression analysis between PRR and sBP controlling for age, sex, and BMI. As showed in <xref rid="tab3" ref-type="table">Table 3</xref>, PRR level in the PVN remained positively correlated with sBP (<italic>p</italic> = 0.015) after controlling for these parameters. In addition, there was no significant contribution of age, sex, or BMI to PRR levels in our subjects.</p>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption>
<p>PRR immunoreactivity is positively correlated with sBP in the PVN of the human brain. A least-square correlation post analysis was used to calculate the correlation between the relative intensity of PRR immunoreactivity and systolic BP (sBP; <bold>A</bold>), diastolic BP (dBP; <bold>B</bold>), body mass index (BMI; <bold>C</bold>), and age <bold>(D)</bold>. <italic>N</italic> = 11.</p>
</caption>
<graphic xlink:href="fphys-11-606811-g007.tif"/>
</fig>
<fig position="float" id="fig8">
<label>Figure 8</label>
<caption>
<p>PRR immunoreactivity is not significantly correlated with sBP in the RVLM of the human brain. A least-square correlation post analysis was used to calculate the correlation between the relative intensity of PRR immunoreactivity and sBP <bold>(A)</bold>, dBP <bold>(B)</bold>, BMI <bold>(C)</bold>, and age <bold>(D)</bold>. <italic>N</italic> = 9.</p>
</caption>
<graphic xlink:href="fphys-11-606811-g008.tif"/>
</fig>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Multiple regressions between the PRR and sBP controlling for age, BMI, and sex for PVN and RVLM groups.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Region</th>
<th align="left" valign="top">Variable</th>
<th align="center" valign="top">DF</th>
<th align="center" valign="top">Parameter estimate</th>
<th align="center" valign="top">SE</th>
<th align="center" valign="top">
<italic>t</italic> value</th>
<th align="center" valign="top">
<italic>Pr</italic> &#x003E; |<italic>t</italic>|</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="6">PVN</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Intercept</td>
<td align="center" valign="top">1</td>
<td align="left" valign="top">76.31395</td>
<td align="left" valign="top">20.53135</td>
<td align="left" valign="top">3.72</td>
<td align="left" valign="top">0.0099</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Systolic blood pressure</td>
<td align="center" valign="top">1</td>
<td align="left" valign="top">0.38094</td>
<td align="left" valign="top">0.11297</td>
<td align="left" valign="top">3.37</td>
<td align="left" valign="top">0.015<sup>&#x002A;</sup>
</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Body mass index</td>
<td align="center" valign="top">1</td>
<td align="left" valign="top">&#x2212;0.04226</td>
<td align="left" valign="top">0.45232</td>
<td align="left" valign="top">&#x2212;0.09</td>
<td align="left" valign="top">0.9286</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Age</td>
<td align="center" valign="top">1</td>
<td align="left" valign="top">0.17929</td>
<td align="left" valign="top">0.13918</td>
<td align="left" valign="top">1.29</td>
<td align="left" valign="top">0.2451</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Sex</td>
<td align="center" valign="top">1</td>
<td align="left" valign="top">&#x2212;3.9912</td>
<td align="left" valign="top">4.4249</td>
<td align="left" valign="top">&#x2212;0.9</td>
<td align="left" valign="top">0.4018</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="6">RVLM</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Intercept</td>
<td align="center" valign="top">1</td>
<td align="left" valign="top">68.02497</td>
<td align="left" valign="top">22.59812</td>
<td align="left" valign="top">3.01</td>
<td align="left" valign="top">0.0395</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Systolic blood pressure</td>
<td align="center" valign="top">1</td>
<td align="left" valign="top">0.36963</td>
<td align="left" valign="top">0.17154</td>
<td align="left" valign="top">2.15</td>
<td align="left" valign="top">0.0975</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Body mass index</td>
<td align="center" valign="top">1</td>
<td align="left" valign="top">&#x2212;0.13225</td>
<td align="left" valign="top">0.32799</td>
<td align="left" valign="top">&#x2212;0.4</td>
<td align="left" valign="top">0.7074</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Age</td>
<td align="center" valign="top">1</td>
<td align="left" valign="top">0.31416</td>
<td align="left" valign="top">0.19536</td>
<td align="left" valign="top">1.61</td>
<td align="left" valign="top">0.1831</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Sex</td>
<td align="center" valign="top">1</td>
<td align="left" valign="top">&#x2212;13.06777</td>
<td align="left" valign="top">6.4784</td>
<td align="left" valign="top">&#x2212;2.02</td>
<td align="left" valign="top">0.1139</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Parameter estimates are shown above. PVN group, <italic>n</italic> = 11; RVLM group, <italic>n</italic> = 9. <sup>&#x002A;</sup>
<italic>p</italic> &#x003C; 0.05 by multiple linear regressions and Pearson correlation.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="sec13" sec-type="discussions">
<title>Discussion</title>
<p>Sympathetic hyperactivity and autonomic dysfunction play important roles in hypertension development, cardiovascular disorder, and metabolic disorder (<xref ref-type="bibr" rid="ref31">Mancia and Guido, 2014</xref>; <xref ref-type="bibr" rid="ref32">Moreira et al., 2015</xref>; <xref ref-type="bibr" rid="ref53">Xue et al., 2016</xref>). The RVLM contains a large number of sympathetic premotor neurons and receives excitatory projections from the PVN (<xref ref-type="bibr" rid="ref10">Dampney, 1994</xref>; <xref ref-type="bibr" rid="ref49">Tagawa and Dampney, 1999</xref>). Although previous studies reported that Ang II can access the PVN and RVLM in hypertension due to blood brain barrier breakdown (<xref ref-type="bibr" rid="ref2">Biancardi et al., 2014</xref>; <xref ref-type="bibr" rid="ref3">Biancardi and Stern, 2016</xref>), more recent studies have shown that the PRR represents the main source of local Ang II production in the brain (<xref ref-type="bibr" rid="ref28">Li et al., 2014</xref>, <xref ref-type="bibr" rid="ref29">2015b</xref>). Accumulating evidence from experimental animal models points to a pivotal role for the brain PRR in hypertension development (<xref ref-type="bibr" rid="ref46">Shan et al., 2010</xref>; <xref ref-type="bibr" rid="ref27">Li et al., 2012</xref>, <xref ref-type="bibr" rid="ref28">2014</xref>; <xref ref-type="bibr" rid="ref48">Souza et al., 2019</xref>). To understand the clinical significance of the brain PRR in human hypertension, we investigated PRR expression and cellular localization in the PVN and RVLM of human subjects. The key findings of this study include the following: (1) the PRR is expressed in neurons, but not astrocytes, in both the PVN and RVLM; (2) PRR immunoreactivity in both the PVN and RVLM is significantly elevated in HTN subjects; and (3) PVN-PRR immunoreactivity is positively correlated with sBP.</p>
<p>In rodents, the PRR is expressed in many BP-regulatory brain regions, including the SFO, SON, PVN, RVLM, and NTS (<xref ref-type="bibr" rid="ref7">Contrepas et al., 2009</xref>; <xref ref-type="bibr" rid="ref46">Shan et al., 2010</xref>; <xref ref-type="bibr" rid="ref27">Li et al., 2012</xref>). In humans, PRR expression was reported in the SFO, PVN, and the pituitary (<xref ref-type="bibr" rid="ref50">Takahashi et al., 2010</xref>; <xref ref-type="bibr" rid="ref8">Cooper et al., 2018</xref>). PRR is colocalized with arginine vasopressin in the PVN and pituitary and with oxytocin in the hypothalamus (<xref ref-type="bibr" rid="ref50">Takahashi et al., 2010</xref>). In the current study, we showed that the PRR is expressed in the PVN and RVLM in humans. In addition, we found that the PRR in the PVN and RVLM is predominantly expressed in neurons, and not astrocytes, a finding in accord with those of our previous study on the human SFO (<xref ref-type="bibr" rid="ref8">Cooper et al., 2018</xref>). <italic>In vivo</italic> studies in rodents have similarly found that the PRR is expressed in neurons but not in astrocytes (<xref ref-type="bibr" rid="ref45">Shan et al., 2008</xref>; <xref ref-type="bibr" rid="ref20">Huber et al., 2015</xref>; <xref ref-type="bibr" rid="ref48">Souza et al., 2019</xref>). This cell-type expression pattern extends to <italic>in vitro</italic> cell culture studies, which have also shown that the PRR is expressed in neurons but not astrocytes (<xref ref-type="bibr" rid="ref46">Shan et al., 2010</xref>; <xref ref-type="bibr" rid="ref40">Peng et al., 2013</xref>; <xref ref-type="bibr" rid="ref47">Shi et al., 2014</xref>). Although these <italic>in vitro</italic> studies reported PRR expression in microglia, studies in mice provide no evidence for PRR localization in microglia in PVN tissue (<xref ref-type="bibr" rid="ref48">Souza et al., 2019</xref>). On the other hand, a small number of microglia in human SFO tissue are reported to be positive for PRR immunoreactivity (<xref ref-type="bibr" rid="ref8">Cooper et al., 2018</xref>).</p>
<p>An important finding from this study is that PRR immunoreactivity is significantly higher in the PVN and RVLM of HTN subjects compared with NTN subjects, indicating the potential clinical significance of the PRR in these brain regions. PVN is a part of Ang II-sensitive neural circuits (<xref ref-type="bibr" rid="ref6">Chen and Toney, 2003</xref>; <xref ref-type="bibr" rid="ref5">Cato and Toney, 2005</xref>; <xref ref-type="bibr" rid="ref24">Knight et al., 2013</xref>) that receive excitatory projections from circumventricular organs in the forebrain; excitatory neurons in this brain nucleus projects to the RVLM, activating sympathetic premotor C1 neurons and increasing sympathetic activity and BP (<xref ref-type="bibr" rid="ref49">Tagawa and Dampney, 1999</xref>; <xref ref-type="bibr" rid="ref25">Li et al., 2003</xref>). Previous studies have demonstrated expression of the PRR in the PVN and established its role in the regulation of sympathetic activity and vasopressin secretion in NTN and HTN animals (<xref ref-type="bibr" rid="ref20">Huber et al., 2015</xref>; <xref ref-type="bibr" rid="ref41">Pitra et al., 2016</xref>, <xref ref-type="bibr" rid="ref42">2019</xref>; <xref ref-type="bibr" rid="ref48">Souza et al., 2019</xref>). PRR expression is also upregulated in the hypothalamus of HTN mice (<xref ref-type="bibr" rid="ref26">Li et al., 2015a</xref>). Pan-neuronal PRR knockdown or PVN-specific neuronal PRR knockdown attenuates hypertension development and high-fat diet-induced type II diabetes in mice (<xref ref-type="bibr" rid="ref48">Souza et al., 2019</xref>; <xref ref-type="bibr" rid="ref51">Worker et al., 2020</xref>). These studies indicate the physiological and pathological importance of the PRR in cardiovascular and metabolic regulation in rodents. However, to date, no other studies have investigated whether PRR expression is altered in the PVN of HTN humans. The current study demonstrates that PRR expression is significantly increased in the PVN of HTN subjects, suggesting the potential clinical significance of the PVN-PRR in human hypertension.</p>
<p>The RVLM is also known to play a significant role in the sympathetic regulation of BP, reflecting its regulation of sympathetic outflow through integration of multiple descending fibers and projections to sympathetic preganglionic neurons (<xref ref-type="bibr" rid="ref17">Guyenet, 2006</xref>; <xref ref-type="bibr" rid="ref30">Lohmeier and Iliescu, 2011</xref>). It has further been shown that Ang II microinjection into the mouse RVLM results in increased BP (<xref ref-type="bibr" rid="ref44">Sasaki and Dampney, 1990</xref>), an effect that is reversed by administration of an Ang II receptor antagonist (<xref ref-type="bibr" rid="ref22">Ito and Sved, 1996</xref>; <xref ref-type="bibr" rid="ref11">Dampney et al., 2002</xref>; <xref ref-type="bibr" rid="ref21">Ito et al., 2002</xref>). The PRR is present in the RVLM of mice (<xref ref-type="bibr" rid="ref7">Contrepas et al., 2009</xref>; <xref ref-type="bibr" rid="ref27">Li et al., 2012</xref>; <xref ref-type="bibr" rid="ref52">Xu et al., 2016</xref>) and rats (<xref ref-type="bibr" rid="ref19">Hu et al., 2020</xref>). In addition, blocking the PRR with the peptide PRO20 (<xref ref-type="bibr" rid="ref29">Li et al., 2015b</xref>) attenuates neuroinflammation and decreases BP and renal sympathetic nerve activity in these animals (<xref ref-type="bibr" rid="ref19">Hu et al., 2020</xref>), establishing a major role for the RVLM-PRR in hypertension development. Our current study demonstrates that RVLM-PRR immunoreactivity in the HTN human is significantly higher than that in NTN subjects, indicating the potential clinical importance of the PRR in the RVLM in human hypertension development. One limitation of our study is the small sample size, which initially consisted of 23 human brain specimens. However, after a careful analysis of all samples, we found that only 11 brain sections contained the defined PVN region and 9 brain sections contained defined RVLM regions. Despite the small sample size, we were able to establish significant differences between NTN and HTN groups. We would stress that the absence of a significant correlation between PRR immunoreactivity in the RVLM and sBP might be attributable to the small sample size. PVN is a heterogenous region that comprises different types of neurons. Another limitation of the current study is that we were not able to separately examine the PRR level in different type of neurons in this brain region due to technical challenges. This will be a goal of our future investigation.</p>
<p>In summary, we found that the PRR is prominently expressed in neurons but not astrocytes in both the PVN and RVLM. In the RVLM, the PRR is also expressed in catecholaminergic neurons. We further showed that PVN-PRR and RVLM-PRR immunoreactivity were significantly increased in HTN subjects relative to NTN subjects and that the intensity of PVN-PRR immunoreactivity was positively correlated with sBP. This study establishes the presence of the PRR in two important cardio regulatory nuclei of the human brain, namely the PVN and RVLM. The crucial role of the brain RAS in the development of hypertension is an important subject of continuing research. Expression of the PRR in neurons of the human PVN and RVLM together with previous findings in animal models of hypertension suggests the potential clinical significance of the PRR in the development of hypertension and cardiovascular and metabolic diseases in humans.</p>
</sec>
<sec id="sec14">
<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, to any qualified researcher.</p>
</sec>
<sec id="sec15">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Institutional Review Board and the Research Integrity Offices at the University of Nevada, Reno. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="sec16">
<title>Author Contributions</title>
<p>YFE and MM: conceptualization. MM, CW, SC, SAl, and SAf: methodology. MM, YM, SAl, and YFE: formal analysis and investigation. MM: writing/original draft preparation. YFE, LS, and MM: writing/reviewing and editing. YFE: funding acquisition, resources, and supervision. All authors contributed to the article and approved the submitted version.</p>
<sec id="sec17" sec-type="coi">
<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>
</body>
<back>
<ack>
<p>We would like to thank Dr. Wei Yang from School of Community Health Sciences for expert consulting and help with statistical analyses.</p>
</ack>
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