<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.177741.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Assessing retinal microvasculature as a biomarker for systemic vascular dysfunction in preeclampsia: A case-control study</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: awaiting peer review]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no" equal-contrib="yes">
                    <name>
                        <surname>Ackah</surname>
                        <given-names>Ebenezer</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-1379-0999</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes" equal-contrib="yes">
                    <name>
                        <surname>Nkeh-Chungag</surname>
                        <given-names>Benedicta</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-4805-4051</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Businge</surname>
                        <given-names>Charles</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Gubu-Ntaba</surname>
                        <given-names>Nontsikelelo</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Sotobe-Mbana</surname>
                        <given-names>Nandipha</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Mabuto</surname>
                        <given-names>Chuma</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-3888-3956</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Mdondolo</surname>
                        <given-names>Mziwohlanga</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Feketshane</surname>
                        <given-names>Mfundo</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Selanto-Charman</surname>
                        <given-names>Nonkosi</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>de Boever</surname>
                        <given-names>Patrick</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <xref ref-type="aff" rid="a6">6</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Goswami</surname>
                        <given-names>Nandu</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-6704-0723</uri>
                    <xref ref-type="aff" rid="a7">7</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Sewani-Rusike</surname>
                        <given-names>Constance</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Human Biology, Walter Sisulu University Faculty of Health Sciences, Mthatha, Eastern Cape, South Africa</aff>
                <aff id="a2">
                    <label>2</label>Biological and Environmental Sciences, Walter Sisulu University, Mthatha, Eastern Cape, 5099, South Africa</aff>
                <aff id="a3">
                    <label>3</label>Obstetrics and Gynaecology, Nelson Mandela Academic Hospital, Mthatha, Eastern Cape, 5099, South Africa</aff>
                <aff id="a4">
                    <label>4</label>Pediatrics and Neonatology, Nelson Mandela Academic Hospital, Mthatha, Eastern Cape, 5099, South Africa</aff>
                <aff id="a5">
                    <label>5</label>Obstetrics and Gynaecology, Frere Hospital, East London, Eastern Cape, South Africa</aff>
                <aff id="a6">
                    <label>6</label>Centre for Environmental Sciences, Hasselt University, Agoralaan, Diepenbeek, 3590, Belgium</aff>
                <aff id="a7">
                    <label>7</label>Gravitational Physiology and Medicine Research Group, Physiology Division, Otto Loewi Research Center for Vascular Biology, Austria, Austria</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:bnkehchungag@wsu.ac.za">bnkehchungag@wsu.ac.za</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>21</day>
                <month>5</month>
                <year>2026</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2026</year>
            </pub-date>
            <volume>15</volume>
            <elocation-id>771</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>25</day>
                    <month>4</month>
                    <year>2026</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Ackah E et al.</copyright-statement>
                <copyright-year>2026</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/15-771/pdf"/>
            <abstract>
                <sec>
                    <title>Introduction</title>
                    <p>Preeclampsia (PE) complicates up to 10% of pregnancies worldwide. Foetal and maternal deaths associated with preeclampsia are highest in women who are of Hispanic and African descent. Retinal arterial narrowing has been strongly associated with hypertension. Retinal imaging provides a novel method to non-invasively assess the microvasculature and explore its association with systemic vasculature in preeclampsia.</p>
                </sec>
                <sec>
                    <title>Methods</title>
                    <p>This case-control study was carried out at Frere and Nelson Mandela Academic Hospitals, Eastern Cape, South Africa. It involved the recruitment of 108 pregnant women (49 preeclamptic women and 59 normotensive). Anthropometry was measured, followed by blood pressure. Carotid-femoral pulse wave velocity (cfPWV), ankle-brachial index (ABI), and retinal vessel calibres (Central retinal arteriolar equivalent (CRAE), Central retinal venular equivalent (CRVE) and the arteriolar-venular ratio (AVR)) were measured. Data was analysed using the Statistical Package for Social Sciences version 27.</p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>Preeclamptic women exhibited higher cfPWV (7.63&#x00a0;&#x00b1;&#x00a0;0.2 vs 7.26&#x00a0;&#x00b1;&#x00a0;0.2, p&#x00a0;=&#x00a0;0.05) and demonstrated a positive relationship between SBP (r&#x00a0;=&#x00a0;0.41, p&#x00a0;=&#x00a0;0.003), DBP (r&#x00a0;=&#x00a0;0.63, p&#x00a0;=&#x00a0;0.001), and cPWV. cfPWV showed a negative correlation with CRAE (r: &#x2212;0.33, p&#x00a0;=&#x00a0;0.02) and AVR (r: &#x2212;0.44, p&#x00a0;=&#x00a0;0.001) while ABI showed a positive association with CRAE (r&#x00a0;=&#x00a0;0.47, p&#x00a0;=&#x00a0;0.001). On the other hand, regression analysis demonstrated that AVR was negatively associated with arterial stiffness (&#x03b2;: &#x2212;5.67; p&#x00a0;=&#x00a0;0.008).</p>
                </sec>
                <sec>
                    <title>Conclusion</title>
                    <p>An existing relationship between microvascular and macro-vascular dysfunction was observed in women with preeclampsia. Retinal vascular changes were associated with arterial stiffness. These findings suggest that assessing retinal vessel calibers may serve as a non-invasive indicator of systemic vascular health in pregnancy-induced hypertensive disorders.</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Preeclampsia</kwd>
                <kwd>retinal vessel calibres</kwd>
                <kwd>pulse wave velocity</kwd>
                <kwd>cardiovascular diseases</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1" xlink:href="https://doi.org/10.13039/501100001322">
                    <funding-source>South African Medical Research Council</funding-source>
                </award-group>
                <funding-statement>This study was funded by the South African Medical Research Council (SAMRC).&#13;
The funder listed (South African Medical Research Council (SAMRC)) was externally sourced and is not linked to any of the authors' affiliations or institutions. The funding was awarded to one of the authors (Benedicta Nkeh-Chungag) and used to carry out the study.</funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <def-list>
            <title>List of Abbreviations</title>
            <def-item>
                <term id="G1">ABI</term>
                <def>
                    <p>ankle-brachial index</p>
                </def>
            </def-item>
            <def-item>
                <term id="G2">AVR</term>
                <def>
                    <p>Arteriolar-venular ratio</p>
                </def>
            </def-item>
            <def-item>
                <term id="G3">cfPWV</term>
                <def>
                    <p>Carotid-femoral Pulse Wave Velocity</p>
                </def>
            </def-item>
            <def-item>
                <term id="G4">CRAE</term>
                <def>
                    <p>Central retinal arteriolar</p>
                </def>
            </def-item>
            <def-item>
                <term id="G5">CRVE</term>
                <def>
                    <p>Central venular equivalent</p>
                </def>
            </def-item>
            <def-item>
                <term id="G6">DBP</term>
                <def>
                    <p>Diastolic blood pressure</p>
                </def>
            </def-item>
            <def-item>
                <term id="G7">FMS</term>
                <def>
                    <p>Flow-mediated slowing</p>
                </def>
            </def-item>
            <def-item>
                <term id="G8">eNOS</term>
                <def>
                    <p>Endothelial nitric oxide synthase</p>
                </def>
            </def-item>
            <def-item>
                <term id="G9">HDP</term>
                <def>
                    <p>Hypertensive Disorders of Pregnancy</p>
                </def>
            </def-item>
            <def-item>
                <term id="G10">NCCEMD</term>
                <def>
                    <p>National Committee for Confidential Enquiry into Maternal Deaths (NCCEMD)</p>
                </def>
            </def-item>
            <def-item>
                <term id="G11">NO</term>
                <def>
                    <p>nitric oxide</p>
                </def>
            </def-item>
            <def-item>
                <term id="G12">OCTA</term>
                <def>
                    <p>Optical coherence tomography angiology</p>
                </def>
            </def-item>
            <def-item>
                <term id="G13">PE</term>
                <def>
                    <p>Preeclampsia</p>
                </def>
            </def-item>
            <def-item>
                <term id="G14">Pl3k</term>
                <def>
                    <p>phosphatidylinositol-3 kinase</p>
                </def>
            </def-item>
            <def-item>
                <term id="G15">ROS</term>
                <def>
                    <p>Reactive oxygen species</p>
                </def>
            </def-item>
            <def-item>
                <term id="G16">PlGF</term>
                <def>
                    <p>Placental growth factor</p>
                </def>
            </def-item>
            <def-item>
                <term id="G17">sEng</term>
                <def>
                    <p>Soluble endoglin</p>
                </def>
            </def-item>
            <def-item>
                <term id="G18">sFlt-1</term>
                <def>
                    <p>soluble fms-like tyrosine kinase-1</p>
                </def>
            </def-item>
            <def-item>
                <term id="G19">SBP</term>
                <def>
                    <p>Systolic blood pressure</p>
                </def>
            </def-item>
            <def-item>
                <term id="G20">SPSS</term>
                <def>
                    <p>Statistical Package for the Social Sciences</p>
                </def>
            </def-item>
            <def-item>
                <term id="G21">VEGF</term>
                <def>
                    <p>Vascular endothelial growth factor</p>
                </def>
            </def-item>
        </def-list>
        <sec id="sec5" sec-type="intro">
            <title>Introduction</title>
            <p>
Preeclampsia (PE) is one of the leading contributors to maternal morbidity and mortality worldwide, complicating up to 10% of pregnancies a year.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> Preeclampsia is characterized by the onset of hypertension at or after 20&#x00a0;weeks of gestation with the presence of proteinuria. Preeclampsia is also commonly characterized by abnormal placentation.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> Preeclampsia is associated with other end-organ disorders, such as kidney dysfunction, visual disturbances, and liver dysfunction.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> It has been noted that preeclampsia manifests in two stages. Stage one is characterized by irregular placentation, followed by stage two, which is facilitated by systemic endothelial dysfunction.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> Though the exact cause of PE remains elusive, studies have reported the placenta as the primary instigator of the condition.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>,
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> Under normal circumstances, the cytotrophoblasts invade and remodel the spiral arteries of the maternal decidua to increase perfusion to the placenta.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> Failed or abnormal placentation, as observed in cases of PE, results in utero-placental hypo-perfusion. Decreased blood flow to the placenta may create a low oxygen environment which triggers the release of anti-angiogenic factors such as soluble endoglin (sEng) and soluble fms-like tyrosine kinase-1 (sFlt-1) into the maternal circulation.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> These circulating anti-angiogenic factors bind to circulating pro-angiogenic factors, such as vascular endothelial growth factor (VEGF) and placental growth factor (PlGF), reducing their concentration in the circulation
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>,
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup> The imbalance between maternal anti and pro-angiogenic factors mediates downstream effects that result in endothelial dysfunction.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup>
            </p>
            <p>Ordinarily, pregnancy induces physiological stress that affects every organ system, including the visual system.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup> Pathological changes within the retinal microvasculature may manifest as a result of newly developed disorders in pregnancy, including cases of preeclampsia.
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup> Modifications of the retinal microvasculature in preeclampsia-induced retinopathy are similar to those observed in hypertensive retinopathy.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> Reported changes include the narrowing of retinal arteries.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> Optical coherence tomography angiology (OCTA) offers a reproducible, non-invasive method to evaluate changes within the retinal micro-vasculature.
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup> An approach that strives to combine the reflective nature of retinal micro-vasculature with maternal macro-vasculature, as assessed by vascular function, as well as biomarkers of endothelial dysfunction, may assist in creating a standardized protocol for early detection of preeclampsia. This may, in turn, aid in early management, subsequently lowering the maternal morbidity and mortality rates associated with preeclampsia. This study, therefore, aimed to assess microvasculature as a biomarker for systemic vascular dysfunction in preeclamptic women from the Eastern Cape, South Africa.</p>
        </sec>
        <sec id="sec6">
            <title>Methods and materials</title>
            <sec id="sec7">
                <title>Aim</title>
                <p>This study aimed to assess the microvasculature as a biomarker for systemic vascular dysfunction in preeclamptic women from the Eastern Cape, South Africa.</p>
            </sec>
            <sec id="sec8">
                <title>Study population</title>
                <p>This case-control study was conducted in the Obstetrics and Gynecology departments of the Frere and Nelson Mandela Academic Hospitals, where pregnant women who met the selection criteria were recruited during scheduled antenatal care visits. This study is part of the study on the Assessment of the Cardiovascular Risk Profile of Infants Exposed to Pre-eclampsia in-utero: A Prospective Case-Control Study in South African Children of African Ancestry, registered with the NIH 
                    <ext-link ext-link-type="uri" xlink:href="http://ClinicalTrials.gov">ClinicalTrials.gov</ext-link> (Protocol 
                    <ext-link ext-link-type="uri" xlink:href="https://ClinicalTrials.gov">https://ClinicalTrials.gov</ext-link> Identifier:
                    <ext-link ext-link-type="uri" xlink:href="http://clinicaltrials.gov/ct2/results?term=NCT05091827">NCT05091827</ext-link>; 
                    <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov/ct2/show/NCT05091827">https://clinicaltrials.gov/ct2/show/NCT05091827</ext-link>) Date: 2021&#x2013;10-12.
                    <sup>
                        <xref ref-type="bibr" rid="ref17">17</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec9">
                <title>Inclusion criteria</title>
                <p>This study recruited 18&#x2013;35-year-old women who were 20&#x2013;33&#x00a0;weeks pregnant. These women were either preeclamptic or normotensive and healthy.</p>
            </sec>
            <sec id="sec10">
                <title>Exclusion criteria</title>
                <p>Women who were diagnosed with pre-existing hypertension, had a history of cardiovascular disease, and other chronic illnesses, as well as those who did not agree to sign the consent form were excluded from the study.</p>
            </sec>
            <sec id="sec11">
                <title>Anthropometric measurements</title>
                <p>The materials and methods in this study were described earlier by Nkeh-Chungag et al (2021).
                    <sup>
                        <xref ref-type="bibr" rid="ref16">16</xref>
                    </sup>
                </p>
                <p>Anthropometric measurements were performed in line with the International Standards for Anthropometric Assessment.
                    <sup>
                        <xref ref-type="bibr" rid="ref18">18</xref>
                    </sup> During all measurements, participants were required to remove any excess clothing that could disrupt the measuring process or impact the results.</p>
                <p>A stadiometer (TCS 200-RT, Perlong) was used to measure participants&#x2019; height to the nearest centimeter (cm). A standard non-stretch measuring tape was used to measure waist and hip circumferences to the nearest cm. Weight was determined using a Tanita weight scale with ANT function (BC1000, Tanita Corporation, Tokyo, Japan) and recorded to the nearest kilogram (kg) as described by Matjuda et al., 2020.
                    <sup>
                        <xref ref-type="bibr" rid="ref19">19</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec12">
                <title>Blood pressure</title>
                <p>A Dinamap V100 (Carescape) was used to measure participants&#x2019; blood pressure. Participants were required to relax for five minutes before the acquisition of blood pressure. Their bare right arm was placed on a flat surface at the level of the heart and fitted with arm-size appropriate cuffs. The machine was initiated, and the average of three readings was taken with 1-minute intervals between readings.</p>
            </sec>
            <sec id="sec13">
                <title>Macrovascular function assessment</title>
                <p>Vascular function was measured using a Vicorder (SMT medical, Wuerzburg, Germany),
                    <sup>
                        <xref ref-type="bibr" rid="ref20">20</xref>
                    </sup> which was connected to a laptop running the Vicorder software. Carotid-femoral pulse wave velocity (cfPWV), Flow-mediated slowing (FMS), and ankle-brachial index were measured according to the methods described by Matjuda et al, 2020.
                    <sup>
                        <xref ref-type="bibr" rid="ref19">19</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec14">
                <title>Retinal vessel calibre measurements</title>
                <p>Fundus images of the eye of the participants were captured with Aurora's Optomed CR-2 plus 45&#x00b0; 6.3 megapixels digital non-mydriatic retinal camera and further analysed with the MONA-REVA vessel analysis software (version 2.1.1) developed by VITO (Luyten et al., 2020; Cox et al, 2020). Retinal vessel caliber measurements were taken according to the methods described by Salo&#x0148; et al., 2023.
                    <sup>
                        <xref ref-type="bibr" rid="ref21">21</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec15">
                <title>Statistical analysis</title>
                <p>Statistical Package for the Social Sciences (SPSS) version 27 was used for statistical analysis. The independent student T-test was used to compare retinal vessel calibre values (CRAE, CRVE, AVR) as well as measurements of macro-vascular function (FMS, cfPWV, ABI) between preeclamptic and normotensive women. The values were presented as mean&#x00a0;&#x00b1;&#x00a0;SEM. Pearson's correlation was used to test the relationships between the measured variables. Stepwise linear regression was further used to assess the strength of the association between retinal vessel calibres and macro-vascular function.</p>
            </sec>
        </sec>
        <sec id="sec16" sec-type="results">
            <title>Results</title>
            <p>A total of 108 participants were recruited &#x2013; 49 preeclamptic women and 59 normotensive women. The questionnaire assessed lifestyle habits and collected family history of diabetes and hypertension. Additionally, obstetric information was collected.</p>
            <p>Lifestyle comparisons showed that a higher percentage of preeclamptic women consumed alcohol within the past 12&#x00a0;months compared to normotensive women (22.4% vs 20.3%). A lower percentage of preeclamptic women were smokers (6.1% vs 16.9%). A higher percentage of preeclamptic women had a family history of diabetes (24.5% vs 8.5%) and hypertension (30.6% vs 10.2%). Preeclamptic women had more children (81.6% vs 71.6%), and a higher percentage had been diagnosed with preeclampsia in previous pregnancies (36.7% vs 6.8%) (
                <xref ref-type="table" rid="T1">
Table 1</xref>).</p>
            <table-wrap id="T1" orientation="portrait" position="float">
                <label>
Table 1. </label>
                <caption>
                    <title>General participant characteristics.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top"/>
                            <th align="left" colspan="1" rowspan="1" valign="top"/>
                            <th align="left" colspan="1" rowspan="1" valign="top">Preeclamptic women N&#x00a0;=&#x00a0;49</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Normotensive women N&#x00a0;=&#x00a0;59</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Cohort N&#x00a0;=&#x00a0;108</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Lifestlye</bold>
</td>
                            <td colspan="4" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Alcohol consumption within the past
                                <break/>12&#x00a0;months</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">11(22.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12(20.3)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">23(21.3)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Smoking</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3(6.1)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">10(16.9)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">13(12)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="5" rowspan="1" valign="top">
                                <bold>Family history</bold>
</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Diabetes</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12(24.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5(8.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">17(15.7)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Hypertension</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">15(30.6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6(10.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">21(19.4)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="5" rowspan="1" valign="top">
                                <bold>Obstetrics information</bold>
</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Parity</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">No child</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">9(18.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">15(25.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">24(22.2)</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2265;1 child</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">40(81.6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">44(74.6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">84(77.8)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">History of preeclampsia</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">18(36.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4(6.8)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">22(20.4)</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>Data was presented as the number of participants (%).</p>
                </table-wrap-foot>
            </table-wrap>
            <p>Maternal age, gestational age, and anthropometric variables (Height, Weight, BMI, and waist-hip ratio) were similar between the two groups. Preeclamptic women had a higher average parity than normotensive women (1.7&#x00a0;&#x00b1;&#x00a0;0.17 vs 1.2&#x00a0;&#x00b1;&#x00a0;0.16, p&#x00a0;=&#x00a0;0.02) (
                <xref ref-type="table" rid="T2">
Table 2</xref>).</p>
            <table-wrap id="T2" orientation="portrait" position="float">
                <label>
Table 2. </label>
                <caption>
                    <title>Participant demographic characteristics.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Variables</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Preeclamptic women (n&#x00a0;=&#x00a0;48)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Normotensive women (n&#x00a0;=&#x00a0;59)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
P value</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Parity</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.7&#x00a0;&#x00b1;&#x00a0;0.1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.2&#x00a0;&#x00b1;&#x00a0;0.1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.02*</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Age (years)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">29&#x00a0;&#x00b1;&#x00a0;1.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">29&#x00a0;&#x00b1;&#x00a0;0.85</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.47</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Gestational age (weeks)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">30&#x00a0;&#x00b1;&#x00a0;1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">30&#x00a0;&#x00b1;&#x00a0;1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.77</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Height (cm)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">159.02&#x00a0;&#x00b1;&#x00a0;0.99</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">160.9&#x00a0;&#x00b1;&#x00a0;0.88</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.08</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Weight (kg)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">82.97&#x00a0;&#x00b1;&#x00a0;3.15</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">83.69&#x00a0;&#x00b1;&#x00a0;2.43</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.41</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">BMI (kg/m
                                <sup>2</sup>)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">33.23&#x00a0;&#x00b1;&#x00a0;1.31</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">32.51&#x00a0;&#x00b1;&#x00a0;0.92</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.3</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">WHR</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.01&#x00a0;&#x00b1;&#x00a0;0.02</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.01&#x00a0;&#x00b1;&#x00a0;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.44</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>Normotensive: BP &lt;140/90&#x00a0;mmHg, PE: Preeclampsia BP&#x00a0;=&#x00a0;140/90&#x2013;159/109&#x00a0;mmHg. BMI: Body Mass Index, WHR: Waist-to-hip ratio. *: p value &#x2264;0.05.</p>
                </table-wrap-foot>
            </table-wrap>
            <p>
Systolic blood pressure (SBP) and mean arterial pressure (MAP) were higher in the preeclamptic group compared to the normotensive group (126&#x00a0;&#x00b1;&#x00a0;2 vs 114&#x00a0;&#x00b1;&#x00a0;2, p&#x00a0;=&#x00a0;0.001; 94.39&#x00a0;&#x00b1;&#x00a0;1.98 vs 87.93&#x00a0;&#x00b1;&#x00a0;1.22, p&#x00a0;=&#x00a0;0.002). Although it was not statistically significant, diastolic blood pressure (DBP) demonstrated increased values in the preeclamptic group (78&#x00a0;&#x00b1;&#x00a0;2 vs 74&#x00a0;&#x00b1;&#x00a0;1; p&#x00a0;=&#x00a0;0.06). Carotid-femoral pulse wave velocity (cfPWV) was higher in the preeclamptic group (7.63&#x00a0;&#x00b1;&#x00a0;0.2 vs 7.26&#x00a0;&#x00b1;&#x00a0;0.2; p&#x00a0;=&#x00a0;0.05), while ABI was lower in the preeclamptic group (1.16&#x00a0;&#x00b1;&#x00a0;0.2 vs 1.23&#x00a0;&#x00b1;&#x00a0;0.3; p&#x00a0;=&#x00a0;0.02). The preeclamptic group showed a lower CRAE (129.28&#x00a0;&#x00b1;&#x00a0;2.49 vs 150.66&#x00a0;&#x00b1;&#x00a0;3; p&#x00a0;=&#x00a0;0.001), a higher CRVE (255.24&#x00a0;&#x00b1;&#x00a0;4.6 vs 235.09&#x00a0;&#x00b1;&#x00a0;4; p&#x00a0;=&#x00a0;0.001), and a lower AVR (0.51&#x00a0;&#x00b1;&#x00a0;0.01 vs 0.65&#x00a0;&#x00b1;&#x00a0;0.14; p&#x00a0;=&#x00a0;0.001) (
                <xref ref-type="table" rid="T3">
Table 3</xref>).</p>
            <table-wrap id="T3" orientation="portrait" position="float">
                <label>
Table 3. </label>
                <caption>
                    <title>Vascular function and hemodynamics.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Variables</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Preeclamptic women (n&#x00a0;=&#x00a0;48)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Normotensive women (n&#x00a0;=&#x00a0;59)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
P value</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="4" rowspan="1" valign="top">
                                <bold>Hemodynamic parameters</bold>
</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">SBP (mmHg)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">126&#x00a0;&#x00b1;&#x00a0;2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">114&#x00a0;&#x00b1;&#x00a0;2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.001</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">DBP (mmHg)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">78&#x00a0;&#x00b1;&#x00a0;2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">74&#x00a0;&#x00b1;&#x00a0;1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.06</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">MAP (mmHg)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">94.39&#x00a0;&#x00b1;&#x00a0;1.98</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">87.93&#x00a0;&#x00b1;&#x00a0;1.22</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.002</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="4" rowspan="1" valign="top">
                                <bold>Macrovascular function</bold>
</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">cfPWV (m/s)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">7.63&#x00a0;&#x00b1;&#x00a0;0.2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">7.26&#x00a0;&#x00b1;&#x00a0;0.2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.05</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">ABI (mmHg)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.16&#x00a0;&#x00b1;&#x00a0;0.2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.23&#x00a0;&#x00b1;&#x00a0;0.3</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.02</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">FMS (%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">18.47&#x00a0;&#x00b1;&#x00a0;1.24</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">22.01&#x00a0;&#x00b1;&#x00a0;2.07</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.08</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="4" rowspan="1" valign="top">
                                <bold>Microvascular function</bold>
</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">CRAE (&#x03bc;m)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">129.28&#x00a0;&#x00b1;&#x00a0;2.49</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">150.66&#x00a0;&#x00b1;&#x00a0;3</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.001</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">CRVE (&#x03bc;m)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">255.24&#x00a0;&#x00b1;&#x00a0;4.6</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">235.09&#x00a0;&#x00b1;&#x00a0;4</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.001</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">AVR (&#x03bc;m)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.51&#x00a0;&#x00b1;&#x00a0;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.65&#x00a0;&#x00b1;&#x00a0;0.14</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.007</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>Systolic Blood Pressure, DBP: Diastolic Blood Pressure. MAP: Mean Arterial Pressure. cfPWV: carotid femoral Pulse Wave Velocity. FMS: Endothelial Flow Mediated Slowing. ABI: Ankle-Brachial Index. CRAE: Central Retinal Arteriolar Equivalent. CRVE: Central Retinal Venular Equivalent. AVR: Arteriolar-To-Venular Ratio.</p>
                </table-wrap-foot>
            </table-wrap>
            <p>
Pearson&#x2019;s correlation analysis was performed to assess the relationship between vascular function and hemodynamic parameters in blood pressure-specific groups. Within the preeclamptic group, we observed that SBP (r&#x00a0;=&#x00a0;0.41, p&#x00a0;=&#x00a0;0.003) and DBP (r&#x00a0;=&#x00a0;0.63, p&#x00a0;=&#x00a0;0.001) showed a positive relationship with cfPWV while in the normotensive group, heart rate correlated positively with cfPWV (r&#x00a0;=&#x00a0;0.32, p&#x00a0;=&#x00a0;0.01) and negatively correlated with AVR (r&#x00a0;=&#x00a0;&#x2212;0.28, p&#x00a0;=&#x00a0;0.04) (
                <xref ref-type="table" rid="T4">
Table 4</xref>).</p>
            <table-wrap id="T4" orientation="portrait" position="float">
                <label>
Table 4. </label>
                <caption>
                    <title>Relationship Between Vascular Function And Blood Pressure Measurements.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="4" rowspan="1" valign="top">Normotensive women</th>
                            <th align="left" colspan="3" rowspan="1" valign="top">Preeclamptic women</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top"/>
                            <th align="left" colspan="1" rowspan="1" valign="top">SBP</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">DBP</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">HR</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">SBP</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">DBP</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">HR</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">cfPWV</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.03(0.83)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.08(0.54)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.32(0.01)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.41(0.003)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.63(0.001)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.05(0.75)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">ABI</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.10(0.44)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.08(0.51)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.08(0.53)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.25(0.09)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.16(0.28)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.15(0.30)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">FMS</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.16(0.23)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.11(0.41)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.03(0.81)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.03(0.85)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.03(0.86)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.01(0.96)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">CRAE</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.04(0.76)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.03(0.83)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.2(0.17)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.19(0.21)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.15(0.31)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.14(0.34)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">CRVE</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.08(0.56)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.02(0.89)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.28(0.04)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.12(0.44)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.18(0.21)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.12(0.41)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">AVR</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.06(0.66)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.03(0.85)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.32(0.01)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.1(0.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.01(0.97)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.05(0.75)</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>Correlation of SBP, DBP and HR against measured parameters of vascular function in both study groups. Results are expressed as Pearson's correlation coefficient (p-value). SBP: systolic blood pressure. DBP: Diastolic blood pressure. HR: Heart Rate. cfPWV: carotid femoral Pulse Wave Velocity. ABI: Ankle-Brachial Index. FMS: Flow Mediated Slowing. CRAE: Central retinal arteriolar equivalent. CRVE: Central retinal venular equivalent. AVR: Arteriolar-venular ratio. R value: Pearson's correlation coefficient.</p>
                </table-wrap-foot>
            </table-wrap>
            <p>Pearson's correlation analysis between microvascular and macro-vascular function parameters showed a significant negative relationship between cfPWV and CRAE (r: &#x2212;0.33, p&#x00a0;=&#x00a0;0.02) and AVR (r: &#x2212;0.44, p&#x00a0;=&#x00a0;0.001) respectively. On the other hand, ABI correlated positively with CRAE (r: 0.47, p&#x00a0;=&#x00a0;0.001) (
                <xref ref-type="table" rid="T5">
Table 5</xref>).</p>
            <table-wrap id="T5" orientation="portrait" position="float">
                <label>
Table 5. </label>
                <caption>
                    <title>Relationship Between macro-vascular function and microvascular function.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="7" rowspan="1" valign="top">Pearson correlation of macro-vascular function and microvascular function</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top"/>
                            <th align="left" colspan="2" rowspan="1" valign="top">cfPWV</th>
                            <th align="left" colspan="2" rowspan="1" valign="top">ABI</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">FMS</th>
                            <th align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">r value</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">P value</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">r value</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">P value</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">r value</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">P value</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">CRAE</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.33</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.02</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.47</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.001</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.042</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.66</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">CRVE</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.93</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.05</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.76</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.02</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.81</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">AVR</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.44</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.001</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.35</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.10</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.16</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.09</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>Pearson correlation (r) of cfPWV, ABI and FMS against parameters of retinal vessel calibres. CfPWV: carotid femoral Pulse Wave Velocity. FMS: Flow Mediated Slowing. ABI: Ankle-Brachial Index. CRAE: Central retinal arteriolar equivalent. CRVE: Central retinal venular equivalent. AVR: Arteriolar-venular ratio. R value: Pearson's correlation coefficient.</p>
                </table-wrap-foot>
            </table-wrap>
            <p>Stepwise linear regression was used to assess how well CRAE, CRVE and AVR may predict cfPWV and ABI. cfPWV and ABI were dependent variables while CRAE, CRVE, and AVR were used as independent variables to generate regression models for systemic vascular function (only significant results were reported). The analysis showed that AVR is a negative, statistically significant predictor of cfPWV (&#x03b2;: &#x2212;5.67; p&#x00a0;=&#x00a0;0.008). The adjusted R
                <sup>2</sup> of 0.42 indicates that 42% of the variable can be explained by the model. On the other hand, although there was a positive relationship between ABI and CRAE (&#x03b2;: 0.28; p&#x00a0;=&#x00a0;0.005), there was a weak fit in the model (
                <xref ref-type="table" rid="T6">
Table 6</xref>).</p>
            <table-wrap id="T6" orientation="portrait" position="float">
                <label>
Table 6. </label>
                <caption>
                    <title>Association between Micro-vascular function and Macro-vascular function.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top"/>
                            <th align="left" colspan="4" rowspan="1" valign="top">cfPWV adjusted R
                                <sup>2</sup>&#x00a0;=&#x00a0;0.42</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Independent variables</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">&#x03b2; (95% CI)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Standard error</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">T value</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">P value</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">AVR</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;5.67(&#x2212;6.16&#x2013;0.97)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.31</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;2.73</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.008</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="4" rowspan="1" valign="top">ABI
                                <break/>

                                <bold>Adjusted R</bold>
                                <sup>

                                    <bold>2</bold>
                                </sup>&#x00a0;
                                <bold>=&#x00a0;0.17</bold>
</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">CRAE</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.004 (0.002&#x2013;0.007)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.001</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2.89</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.001</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>Abbreviations. cfPWV: carotid-femoral pulse wave velocity. AVR: arteriolar-venular ratio. &#x03b2;: Regression coefficient. 95% CI: 95% confidence interval.</p>
                </table-wrap-foot>
            </table-wrap>
        </sec>
        <sec id="sec17" sec-type="discussion">
            <title>Discussion</title>
            <p>This cross-sectional study assessed the relationship between macro-vascular and microvascular function in preeclamptic women. Our findings showed that women with preeclampsia had increased arterial stiffness and decreased retinal function compared to normotensive women. Our findings showed that arterial stiffening, as assessed by cfPWV, significantly correlated with hemodynamic measurements in the preeclamptic study group. Similarly, retinal microvascular narrowing and stiffening were positively correlated with hemodynamic measurements. Furthermore, we observed a positive association between arterial stiffening and retinal microvascular dysfunction. Increased peripheral arterial disease, as assessed by ABI, was positively associated with retinal arteriolar narrowing. These findings indicate that increasing arterial stiffening may contribute to increasing blood pressure. This relationship is significantly demonstrated in women with preeclampsia. Changes within the microvasculature, assessed by AVR, could predict changes in arterial stiffening. This means that alterations in microvasculature may lead to changes within macrovasculature, which has been shown to relate to blood pressure alterations.</p>
            <p>Pulse Wave Velocity (PWV) is the quantification of the speed at which arterial pulses move through the arterial network, with a greater PWV value signifying increased arterial stiffness.
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> A prospective study conducted by Phan et al
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup> in a Canadian population revealed a similar increase in cfPWV in both normotensive and women at risk of developing preeclampsia at 10 to 13&#x00a0;weeks&#x2019; gestation. However, from 20 to 25&#x00a0;weeks, there was an observable difference in cfPWV, with higher levels observed in preeclamptic women, indicating an increase in arterial stiffening. Eastabrook et al
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup> also observed higher levels of cfPWV in preeclamptic women, compared with normotensive women. Additionally, another study conducted in Uruguay showed that normotensive pregnant women had lower cfPWV compared to preeclamptic women (5.6&#x00a0;&#x00b1;&#x00a0;0.8 vs 8.2&#x00a0;&#x00b1;&#x00a0;1.2; P&#x00a0;&lt;&#x00a0;0.001).
                <sup>
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup> These findings are in consensus with those observed in our current study. Peripheral arterial disease is a dominant atherosclerotic state and is commonly linked to impaired arterial function. It reliably predicts cardiovascular disease-related mortality and morbidity.
                <sup>
                    <xref ref-type="bibr" rid="ref26">26</xref>
                </sup> Ankle-Brachial index, on the other hand measures the severity of peripheral arterial disease, with normal values ranging between 1.0 and 1.4.
                <sup>
                    <xref ref-type="bibr" rid="ref27">27</xref>
                </sup> In the current study, preeclamptic and normotensive women had ABI values that were within normal ranges. However, preeclamptic women had lower ABI, indicative of increased peripheral arterial damage compared to normotensive women.</p>
            <p>Previous 
studies have used retinal vessel calibers to assess cardiovascular risk.
                <sup>
                    <xref ref-type="bibr" rid="ref28">28</xref>
                </sup> Narrower retinal arterioles and more dilated retinal venules have been associated with adverse cardiovascular outcomes, such as incidence of stroke and coronary artery disease. We observed that women with preeclampsia had narrower retinal arterioles (smaller CRAE), wider venules (larger CRVE), and smaller AVR, compared to normotensive women. Similar to our findings, a study conducted in the Shanghai First Maternity and Infant Hospital of the Tongji University observed that when compared to normotensive pregnancies, preeclamptic women had narrower CRAE (94 (87, 99) vs 87 (80,94) P&#x00a0;&lt;&#x00a0;0.001) and smaller AVR (0.75 (0.71, 0.81) vs 0.72 (0.67, 0.77), P&#x00a0;=&#x00a0;0.002).
                <sup>
                    <xref ref-type="bibr" rid="ref29">29</xref>
                </sup> Additionally, stepwise linear regression models performed in this study revealed that AVR moderately predicted cfPWV and that CRAE was associated with ABI. A study conducted in the Netherlands with a population of 2434 participants found no associations between arterial stiffness and retinal microvascular calibres.
                <sup>
                    <xref ref-type="bibr" rid="ref30">30</xref>
                </sup> These findings are at variance with those of the current study.</p>
            <p>From the current study, our findings demonstrate that changes within macro-vascular parameters are associated with changes in blood pressure. This association is more evident in preeclamptic women. Additionally, our findings show that microvascular alterations may predict macro-vascular changes, ultimately influencing blood pressure dynamics. This means that changes within the microvasculature may lead to observable changes in systemic vascular function.</p>
        </sec>
        <sec id="sec18" sec-type="conclusion">
            <title>Conclusion</title>
            <p>There is evidence of an existing relationship between microvascular and macro-vascular dysfunction in women with preeclampsia. This study showed that retinal vascular changes are associated with arterial stiffness, directly affecting blood pressure variables. This suggests that assessment of retinal vessel calibres may serve as a non-invasive indicator of systemic vascular health in preeclampsia.</p>
            <sec id="sec19">
                <title>Limitation</title>
                <p>As this was a cross-sectional study, we were not able to establish any true causal effects of our measured variables. Further studies focused on longitudinal and prospective designs, especially those done on a larger population, may provide greater insights, adding to this study&#x2019;s findings.</p>
                <p>Author Roles: EEA, BNNC, NG, and CRSR conceived and designed the research. EEA, BNNC, CM, EM, NGN, NSM, MM, MM, MF, NPSC, NG and PB participated in collecting the data. EEA, CM and BNNC analysed the data. EEA wrote the first draft of the manuscript. BNNC revised the manuscript and sourced funding.</p>
            </sec>
        </sec>
        <sec id="sec20">
            <title>Ethics and consent to participate</title>
            <p>Ethical clearance was sought from the Walter Sisulu University, Faculty of Health Sciences Research Ethics Committee, Walter Sisulu University (Ethics Approval No: 223/2024). Permission to recruit participants from hospitals was obtained from the Eastern Cape Department of Health and the Frere and Nelson Mandela Academic Hospitals, respectively.</p>
        </sec>
        <sec id="sec21">
            <title>Informed consent statement</title>
            <p>The study was conducted in accordance with the Helsinki II declaration. Written informed consent was obtained from participants before their inclusion in this study.</p>
        </sec>
    </body>
    <back>
        <sec id="sec24" sec-type="data-availability">
            <title>Data availability statement</title>
            <p>Figshare: Ackah_et al Dataset. 
                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.31239391">https://doi.org/10.6084/m9.figshare.31239391</ext-link>
                <sup>
                    <xref ref-type="bibr" rid="ref31">31</xref>
                </sup>
                <list list-type="bullet">
                    <list-item>
                        <label>&#x2022;</label>
                        <p>Data file 1: Ackah et al Data</p>
                    </list-item>
                </list>
            </p>
            <p>Figshare: ACKAH et al CONSORT 2025. 
                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.31324861">https://doi.org/10.6084/m9.figshare.31324861</ext-link>.
                <sup>
                    <xref ref-type="bibr" rid="ref32">32</xref>
                </sup>
            </p>
            <p>Data file 1: EBENEZER ACKAH CONSORT 2025 editable checklist.</p>
            <p>All Data are available under terms of 
                <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International license</ext-link> (CC-BY 4.0).</p>
        </sec>
        <ack>
            <title>Acknowledgments</title>
            <p>We would like to acknowledge the research team and staff of the Frere and Nelson Mandela Academic Hospitals, Eastern Cape, South Africa, for facilitating access to participants. We would also like to specially thank all the participants who volunteered to be a part of the study.</p>
        </ack>
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