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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Transplant.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Transplantation</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Transplant.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2813-2440</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/frtra.2025.1662187</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Glycocalyx kinetics and injury during liver procurement and transplantation as predictors of early graft dysfunction</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Beghdadi</surname><given-names>Nassiba</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref>
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<contrib contrib-type="author">
<name><surname>Texier</surname><given-names>Alexis</given-names></name>
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<contrib contrib-type="author">
<name><surname>Allard</surname><given-names>Marc Antoine</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Sebagh</surname><given-names>Mylene</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<contrib contrib-type="author">
<name><surname>Bousaleh</surname><given-names>Nour</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Triki</surname><given-names>Haitham</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Pietrasz</surname><given-names>Daniel</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Cabrit</surname><given-names>Nicolas</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Golse</surname><given-names>Nicolas</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Adam</surname><given-names>Ren&#x00E9;</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Feray</surname><given-names>Cyrille</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Lenting</surname><given-names>Peter J.</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Roullet</surname><given-names>St&#x00E9;phanie</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Azoulay</surname><given-names>Daniel</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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</contrib-group>
<aff id="aff1"><label>1</label><institution>Hopital Paul Brousse</institution>, <city>Villejuif</city>, <country country="fr">France</country></aff>
<aff id="aff2"><label>2</label><institution>INSERM UMR 1193</institution>, <city>Villejuif</city>, <country country="fr">France</country></aff>
<aff id="aff3"><label>3</label><institution>INSERM UMR-S1176, Le Kremlin-Bice&#x0302;tre</institution>, <country country="fr">France</country></aff>
<aff id="aff4"><label>4</label><institution>AP-HP H&#x00F4;pital Paul-Brousse, Laboratoire d&#x0027;Anatomopathologie</institution>, <city>Villejuif</city>, <country country="fr">France</country></aff>
<aff id="aff5"><label>5</label><institution>Universit&#x00E9; Paris-Saclay</institution>, <city>Villejuif</city>, <country country="fr">France</country></aff>
<author-notes>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Nassiba Beghdadi <email xlink:href="mailto:nassiba.beghdadi@hotmail.fr">nassiba.beghdadi@hotmail.fr</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-11-25"><day>25</day><month>11</month><year>2025</year></pub-date>
<pub-date publication-format="electronic" date-type="collection"><year>2025</year></pub-date>
<volume>4</volume><elocation-id>1662187</elocation-id>
<history>
<date date-type="received"><day>08</day><month>07</month><year>2025</year></date>
<date date-type="accepted"><day>16</day><month>09</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2025 Beghdadi, Texier, Allard, Sebagh, Bousaleh, Triki, Pietrasz, Cabrit, Golse, Adam, Feray, Lenting, Roullet and Azoulay.</copyright-statement>
<copyright-year>2025</copyright-year><copyright-holder>Beghdadi, Texier, Allard, Sebagh, Bousaleh, Triki, Pietrasz, Cabrit, Golse, Adam, Feray, Lenting, Roullet and Azoulay</copyright-holder><license><ali:license_ref start_date="2025-11-25">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p></license>
</permissions>
<abstract><sec><title>Introduction</title>
<p>Ischemia&#x2013;reperfusion injury causes endothelial damage, partly through degradation of the glycocalyx. This study aimed to evaluate glycocalyx degradation from graft procurement to reperfusion and assess its potential as a biomarker of early graft function (early allograft dysfunction, EAD).</p>
</sec><sec><title>Methods</title>
<p>This single-center observational prospective study was conducted at Paul Brousse Hospital from April 2022 to April 2023. All primary liver transplantation (LT) recipients were included. Glycocalyx degradation was assessed at procurement, at the end of cold ischemia, and during LT in liver graft caval effluent and correlated with liver histological injury. The primary endpoint was EAD, defined as a Model for Early Allograft Function score &#x2265;9. We quantified glycocalyx components [Syndecan-1 (Synd-1), heparan sulfate, angiopoietin-1, and angiopoietin-2], inflammation (TNF-alpha), and cell death markers.</p>
</sec><sec><title>Results</title>
<p>Thirty-one patients were included; 12 (39&#x0025;) developed EAD. Synd-1 plasma levels at procurement (donor Synd-1 level&#x2009;&#x003D;&#x2009;d-Synd-1) were significantly higher in patients with EAD [12,173&#x2005;pg/mL (10,538&#x2013;17,570) vs. 6,282&#x2005;pg/mL (4,604&#x2013;10,002), <italic>p</italic>&#x2009;&#x003D;&#x2009;0.004]. A plasma d-Synd-1 cutoff of 9,419.7&#x2005;pg/mL predicted EAD [AUC&#x2009;&#x003D;&#x2009;0.81, 95&#x0025; confidence interval (95&#x0025; CI) (0.65&#x2013;0.97); sensitivity 83&#x0025;; specificity 74&#x0025;, positive predictive value&#x2009;&#x003D;&#x2009;67&#x0025;, negative predictive value&#x2009;&#x003D;&#x2009;88&#x0025;, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05]. d-Synd-1 &#x2265;9,419.7&#x2005;pg/mL was associated with severe post-LT complications (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.007).</p>
</sec><sec><title>Conclusions</title>
<p>d-Synd-1 levels in graft effluent during procurement may serve as a predictor of early allograft dysfunction. Strategies aimed at protecting the endothelial during procurement could improve graft outcomes.</p>
</sec>
</abstract>
<kwd-group>
<kwd>glycocalyx (MeSH: d019276)</kwd>
<kwd>ischemia&#x2013;reperfusion (I/R) injury</kwd>
<kwd>liver transplantation complications</kwd>
<kwd>syndecan-1 (SDC1)</kwd>
<kwd>heparan sulfate (HS)</kwd>
<kwd>angiopoietin (Ang)</kwd>
</kwd-group><funding-group>
<award-group id="gs1">
<funding-source id="sp1">
<institution-wrap>
<institution>Fondation de l&#x0027;Avenir pour la Recherche M&#x00E9;dicale Appliqu&#x00E9;e</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="">10.13039/100007380</institution-id>
</institution-wrap>
</funding-source>
</award-group>
<funding-statement>The author(s) declare that financial support was received for the research and/or publication of this article. This study received funding from Fondation de l&#x2019;Avenir.</funding-statement>
</funding-group>
<counts>
<fig-count count="3"/>
<table-count count="4"/><equation-count count="0"/><ref-count count="39"/><page-count count="10"/><word-count count="231554"/></counts><custom-meta-group><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Abdominal Transplantation</meta-value></custom-meta></custom-meta-group>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><title>Introduction</title>
<p>Liver graft ischemia&#x2013;reperfusion injury (IRI) results from the lack of graft oxygenation followed by re-oxygenation and triggers a metabolic cascade leading to cell death and clinical liver dysfunction. Early allograft dysfunction is a clinical expression of IRI. The Model for Early Allograft Function (MEAF) score, a continuous score, is particularly useful for defining severe graft dysfunction (MEAF score &#x2265;9), which corresponds to a 30&#x0025; risk of graft loss and a 40&#x0025; risk of patient death within 3 months (<xref ref-type="bibr" rid="B1">1</xref>).</p>
<p>The glycocalyx is a glycoprotein-rich membrane that covers the organ endothelium and protects it from circulating blood elements like inflammatory cells (<xref ref-type="bibr" rid="B2">2</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>). Syndecan-1 (synd-1) and heparan sulfate (HS) are key components of the glycocalyx and among the most extensively studied components in the literature (<xref ref-type="bibr" rid="B2">2</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>). Their structure and function are regulated by blood flow, shear stress, and growth factors like angiopoietins (Ang) (<xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>). Shedding of the endothelial glycocalyx occurs when blood circulation ceases, exposing the endothelium to inflammatory cells (<xref ref-type="bibr" rid="B13">13</xref>). Increased plasma levels of Synd-1 and heparan sulfate indicate glycocalyx degradation (<xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>). Whereas these processes have been studied in cardiac surgery (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>) and severe trauma (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>), little is known in the context of solid organ transplantation. The aim of our study was to evaluate glycocalyx degradation and its excretion kinetics during graft procurement and to assess whether glycocalyx dynamics could serve as a predictive biomarker of early liver graft dysfunction.</p>
</sec>
<sec id="s2" sec-type="methods"><title>Materials and methods</title>
<sec id="s2a"><title>Patients</title>
<p>All consecutive liver transplantations (LTs) performed at Paul Brousse University Hospital (Villejuif, France) between April 2022 and April 2023 were included in the study. Inclusion criteria were patients aged &#x2265;18&#x2005;years with end-stage liver disease. Exclusion criteria included LT from living donors, split liver grafts, re-transplantation, LT for fulminant hepatitis, use of venovenous bypass during LT, and lack of consent for the use of clinical data. This prospective observational exploratory study was approved by the local Ethics Committee (CO 16-006; CNIL No. 1856085).</p>
</sec>
<sec id="s2b"><title>Organ procurement</title>
<p>After procurement, liver grafts were preserved in Institut Georges Lopez-1 (IGL-1&#x00AE;) solution at 4&#x00B0;C until transplantation. Before implantation, all grafts were flushed with 800&#x2005;mL of 5&#x0025; albumin solution, according to the protocol of our institution. Total ischemia time was defined as the interval between cessation of blood supply at the time of liver graft procurement and portal reperfusion upon implantation in the recipient. The balance of risk (BAR) score is a composite measure that includes the MELD score, recipient age, donor type (living donor), emergency status of LT, re-transplantation status, and cold ischemia time. It is used to estimate prognosis and survival in liver transplant recipients. A BAR score &#x003C;9 predicts an excellent prognosis, whereas a score &#x2265;18 indicates a poor prognosis with increased mortality at 3&#x2005;months post-LT (<xref ref-type="bibr" rid="B20">20</xref>). An extended criteria donor (ECD) was defined as a liver graft with macrovacuolar steatosis &#x2265;30&#x0025;, donor age &#x2265;70 years, elevated GGT, or from a donation after circulatory death (DCD) donor. No liver grafts were perfused using oxygenated dynamic perfusion during the study period.</p>
</sec>
<sec id="s2c"><title>Surgical procedure</title>
<p>The retrohepatic inferior vena cava was preserved whenever possible. At our institution, a temporary porto-caval shunt is systematically performed during liver explantation to prevent mesenteric congestion. During graft implantation, a vena cava piggyback anastomosis was created on the hepatic veins. Other anastomoses, including porto-portal, arterial, and biliary or bilio-jejunal, were performed based on the usual practice of the surgical team. Vascular unclamping (caval and portal) was performed simultaneously, followed by arterial unclamping. Abdominal drainage was systematic. Immunosuppression was initiated at the time of surgical incision with methylprednisolone 5&#x2005;mg/kg (maximum 500&#x2005;mg). Anesthetic management was at the discretion of the anesthesiologist.</p>
</sec>
<sec id="s2d"><title>Study objective</title>
<p>The objective was to assess glycocalyx alteration during liver graft procurement and liver transplantation as a marker of ischemia&#x2013;reperfusion injury and to determine whether glycocalyx alteration is predictive of early liver graft dysfunction.</p>
<p>The primary endpoint was early allograft dysfunction (EAD), which was evaluated based on the MEAF score. The MEAF is a continuous score calculated from ALT, INR, and bilirubin levels measured on postoperative day 3. It is calculated as follows: MEAF&#x2009;&#x003D;&#x2009;score ALT<sub>max3POD</sub>&#x2009;&#x002B;&#x2009;score INR<sub>max3POD</sub>&#x2009;&#x002B;&#x2009;score bilirubine<sub>3POD</sub>, where score ALT<sub>max3POD</sub>&#x2009;&#x003D;&#x2009;3.29/(1 &#x002B; e<sup>&#x2212;1.9132</sup>(ln (ALT<sub>max3POD</sub>)) &#x2212; 6.1723); score INR<sub>max3POD</sub>&#x2009;&#x003D;&#x2009;3.29/(1 &#x002B; e<sup>&#x2212;6.8204</sup>(ln (score INR<sub>max3POD</sub>)) &#x2212; 0.6658); score bilirubine<sub>3POD</sub>&#x2009;&#x003D;&#x2009;3.4/ (1 &#x002B; e<sup>&#x2212;1.8005</sup>(ln(bilirubine<sub>3POD</sub>)) &#x2212; 1.0607). Severe graft dysfunction is defined as a MEAF score &#x2265;9, which corresponds to a 30&#x0025; risk of graft loss and a 40&#x0025; risk of patient death within 3&#x2005;months (<xref ref-type="bibr" rid="B1">1</xref>).</p>
<p>The secondary end points were post-LT outcomes: (1) primary non-function corresponding to graft non-function within 7&#x2005;days post-LT without vascular cause, leading to death or urgent re-transplantation (<xref ref-type="bibr" rid="B21">21</xref>); (2) severe post-LT complications defined according to Dindo&#x2013;Clavien classification as type III, which include severe complications requiring endoscopic, radiological, or surgical intervention (<xref ref-type="bibr" rid="B22">22</xref>).</p>
</sec>
<sec id="s2e"><title>Experimental protocol</title>
<p>During liver graft procurement, the liver was flushed with IGL-1 solution after the aorta was clamped, ensuring liver graft preservation without blood. To assess endothelial glycocalyx degradation and its excretion kinetics, samples of liver vena cava effluent (blood or preservation fluid/albumin) were collected at specific time points, listed as follows: (i) during liver graft procurement before aortic clamping, (ii) at the end of cold ischemia preservation, after the graft had been flushed with 5&#x0025; albumin solution through the portal vein, and (iii) 5&#x2005;min after liver graft reperfusion in the recipient, i.e., after caval and portal unclamping.</p>
</sec>
<sec id="s2f"><title>Sample treatment</title>
<p>Blood samples were collected in citrated or EDTA tubes. Blood was centrifuged at 2,000<italic>g</italic> for 10&#x2005;min to obtain plasma. Plasma samples were aliquoted in 0.5&#x2005;mL Eppendorf tubes and stored at &#x2212;80&#x2005;&#x00B0;C until further analysis by enzyme-linked immunosorbent assay (ELISA). To assess endothelial glycocalyx alteration, we quantified the following biomarkers in the collected samples using ELISA assay kits: Syndecan-1 (human CD138; SDC1, &#x0023;EHSDC1, Thermo Fisher Scientific, USA), heparan sulfate (E-EL-H2364c, Elabscience Biotechnology Co., France), angiopoietin-1 (EPX010-12235-901, Thermo Fisher Scientific), and angiopoietin-2 (KHC1641, Thermo Fisher Scientific). Ischemia&#x2013;reperfusion injury was evaluated using inflammation and cell damage markers. Inflammation was assessed by quantifying TNF-alpha (BMS223-4, Thermo Fisher Scientific). Cell death was evaluated by quantifying total cytokeratin 18 (CK-18), a fragment released into circulation upon cell death, reflecting the overall cell death (M65 EpiDeath ELISA, PEVIVA, Eurobio Scientific, France). Cleaved cytokeratin 18 (c-CK-18) is a component generated by enzymatic digestion during apoptosis, enabling the assessment of programmed cell death (M30 Apoptosense Chronic Liver Human, PEVIVA, Eurobio Scientific). Necrosis was indirectly evaluated by subtracting cleaved CK-18 from total CK-18.</p>
</sec>
<sec id="s2g"><title>Histology</title>
<p>To evaluate ischemia&#x2013;reperfusion injury, surgical liver biopsies were performed (1) before aortic clamping in the donor and (2) at the end of LT in the recipient (before abdominal closure). Hepatic tissue damage was assessed by a pathologist, who evaluated neutrophil infiltration, hepatocyte ballooning, and necrosis and classified the ischemia&#x2013;reperfusion injury as severe, moderate, mild, or absent. We determined whether there was a correlation between histological lesions and excretion of synd-1 or heparan sulfate during liver graft procurement. Histological evaluation was performed blinded to glycocalyx measurements.</p>
</sec>
<sec id="s2h"><title>Clinical evaluation</title>
<p>As part of routine clinical care, all patients underwent daily blood tests. Clinical data were collected before, during, and up to 90&#x2005;days post-transplantation. Clinical, biological, and histological data were collected prospectively.</p>
</sec>
<sec id="s2i"><title>Statistical analyses</title>
<p>The study was designed as a prospective, single-center, observational, and exploratory study. Data not normally distributed were presented as median with interquartile range (IQR: 25&#x0025;&#x2013;75&#x0025;). Univariate analyses were performed: chi-square tests were used for categorical variables, and Kruskal&#x2013;Wallis tests were used for continuous variables. <italic>T</italic>-tests or Mann&#x2013;Whitney tests were used for multiple comparisons across time points. To assess whether each biomarker was associated with postoperative graft dysfunction, receiver operating characteristic (ROC) curve analyses were performed, including the calculation of positive predictive value (PPV), negative predictive value (NPV), sensitivity (Sen), and specificity (Spe). For all analyses, a <italic>p</italic>-value&#x2009;&#x2264;&#x2009;0.05 was considered statistically significant; adjusted <italic>p-</italic>values are reported when data were corrected for multiple comparisons. All statistical analyses were performed using R software (version 2022, Posit Software, PBC).</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><title>Results</title>
<sec id="s3a"><title>Study population</title>
<p>Between April 2022 and April 2023, 31 patients were included. The median age of the recipients was 55&#x2005;years (48&#x2013;63). The MELD score was 16 (8&#x2013;26) (<xref ref-type="sec" rid="s12">Supplementary Table S1</xref>).</p>
<p>The median age of the donors was 67&#x2005;years (52&#x2013;74). The median BAR score was 7 (3&#x2013;11), and 24 out of 31 donors (77&#x0025;) met the criteria for ECDs (<xref ref-type="sec" rid="s12">Supplementary Table S1</xref>).</p>
</sec>
<sec id="s3b"><title>Kinetics of biomarkers over time</title>
<p>Between liver graft procurement and reperfusion, Synd-1 levels increased significantly [9,035 (5,140&#x2013;11,774) to 74,577 (55,282&#x2013;107,969)&#x2005;pg/mL, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001]. Heparan sulfate and Ang-1 decreased significantly (heparan sulfate: 806 (453&#x2013;1,056) vs. 383 (209&#x2013;844)&#x2005;ng/mL, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.01; Ang-1: 2,732 (992&#x2013;6,697) vs. 1.361 (651&#x2013;3,705)&#x2005;pg/mL, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.01). Ang-2 level increased, but the change did not reach statistical significance [5,177 (3,676&#x2013;8,124) vs. 6,669 (3,731&#x2013;9,281)&#x2005;pg/mL] (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>).</p>
<table-wrap id="T1" position="float"><label>Table&#x00A0;1</label>
<caption><p>Descriptive analysis of Glycocalyx alteration and cell injuries during liver graft procurement.</p></caption>
<table>
<thead>
<tr>
<th valign="top" align="left">Biomarker</th>
<th valign="top" align="center">Donor sample</th>
<th valign="top" align="center">End of cold ischemia sample</th>
<th valign="top" align="center">Reperfusion sample</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Syndecan-1 (pg/mL)</td>
<td valign="top" align="center">9,035 (5,140&#x2013;11,774)</td>
<td valign="top" align="center">39,120 (21,395&#x2013;45,258)</td>
<td valign="top" align="center">74,577 (55,282&#x2013;107,969)</td>
</tr>
<tr>
<td valign="top" align="left">Heparan sulfate (ng/mL)</td>
<td valign="top" align="center">806 (453&#x2013;1,056)</td>
<td valign="top" align="center">0 (0&#x2013;8.9)</td>
<td valign="top" align="center">383 (209&#x2013;844)</td>
</tr>
<tr>
<td valign="top" align="left">Angiopoietin-1 (pg/mL)</td>
<td valign="top" align="center">2,732 (992&#x2013;6,697)</td>
<td valign="top" align="center">0 (0&#x2013;865.2)</td>
<td valign="top" align="center">1,361 (651&#x2013;3,705)</td>
</tr>
<tr>
<td valign="top" align="left">Angiopoietin-2 (pg/mL)</td>
<td valign="top" align="center">5,177 (3,676&#x2013;8,124)</td>
<td valign="top" align="center">2,257 (1,029&#x2013;3,549)</td>
<td valign="top" align="center">6,669 (3,731&#x2013;9,281)</td>
</tr>
<tr>
<td valign="top" align="left">Total CK-18 (UI/mL)</td>
<td valign="top" align="center">1,088 (402&#x2013;2,188)</td>
<td valign="top" align="center">124 (68&#x2013;522)</td>
<td valign="top" align="center">2,689 (1,697&#x2013;4,048)</td>
</tr>
<tr>
<td valign="top" align="left">Cleaved CK-18 (UI/mL)</td>
<td valign="top" align="center">165 (98&#x2013;229)</td>
<td valign="top" align="center">236 (130&#x2013;440)</td>
<td valign="top" align="center">248 (192&#x2013;347)</td>
</tr>
<tr>
<td valign="top" align="left">Total&#x2212;cleaved CK-18 (UI/mL)</td>
<td valign="top" align="center">1,088 (251&#x2013;1,868)</td>
<td valign="top" align="center">0 (0&#x2013;261)</td>
<td valign="top" align="center">2,342 (1,616&#x2013;3,591)</td>
</tr>
<tr>
<td valign="top" align="left">TNF-alpha (pg/mL)</td>
<td valign="top" align="center">0.16 (0.00&#x2013;0.94)</td>
<td valign="top" align="center">0.65 (0.03&#x2013;2.90)</td>
<td valign="top" align="center">0.20 (0.00&#x2013;1.65)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF1"><p>Values are expressed as median (IQR). Total CK-18, total death cell; cleaved CK-18, apoptosis; total&#x2212;cleaved CK-18, necrosis.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Regarding cell injury biomarkers, levels of total CK-18 [2,689 (1,697&#x2013;4,048) vs. 1,088 (402&#x2013;2,188)&#x2005;UI/mLl, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.01], cleaved CK-18 [248 (192&#x2013;347) vs. 165 (98&#x2013;229)&#x2005;UI/mL, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.01], and necrosis [2,342 (1,616&#x2013;3,591) vs. 1,088 (251&#x2013;1,868)&#x2005;UI/mL, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.01] were significantly higher at reperfusion compared to the procurement time point. TNF-alpha levels remained stable in the graft vena cava effluent (<xref rid="F1" ref-type="fig">Figure 1</xref>).</p>
<fig id="F1" position="float"><label>Figure&#x00A0;1</label>
<caption><p>Kinetic evolution of glycocalyx alteration and cell injury during liver graft procurement and transplantation at three time points: (1) donor sampling time, (2) end of cold ischemia, and (3) reperfusion (results are expressed as median and IQR).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="frtra-04-1662187-g001.tif"><alt-text content-type="machine-generated">Eight box plots showing paired comparisons in graft effluent over three sampling times (0, 1, and 3). Metrics include Synd-1, Heparan sulfate, Ang-1, Ang-2, TNF alpha, total cell death, apoptosis, and necrosis. Significant changes are marked with asterisks. Values are labeled on each plot.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3c"><title>Early allograft dysfunction according to MEAF scores</title>
<p>Twelve patients (39&#x0025;) developed severe graft dysfunction. Among these, 67&#x0025; received a graft from a donor who died of anoxia (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.001), and they exhibited significant cytolysis [ALT: 117 (22&#x2013;166) vs. 27 (16&#x2013;40)&#x2005;IU/L, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.019]. No significant differences were observed between patients who developed dysfunction and those who did not regarding recipient age, MELD score, or BAR score (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>). Only Synd-1 levels in the graft vena cava effluent at the time of procurement were significantly higher in patients who developed dysfunction: [12,173 (10,538&#x2013;17,570) vs. 6,282 (4,604&#x2013;10,002)&#x2005;pg/mL, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.004]. These patients also exhibited significantly higher necrosis levels in the graft vena cava effluent at the end of cold ischemia [1,382 (18&#x2013;2,622) vs. 0 (0&#x2013;0)&#x2005;IU/L, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.004] (<xref ref-type="table" rid="T3">Table&#x00A0;3</xref>, <xref rid="F2" ref-type="fig">Figure 2</xref>).</p>
<table-wrap id="T2" position="float"><label>Table&#x00A0;2</label>
<caption><p>Univariate comparison for early allograft dysfunction MEAF &#x2265;9.</p></caption>
<table>
<thead>
<tr>
<th valign="top" align="left">Variable</th>
<th valign="top" align="center">MEAF&#x2009;&#x003C;&#x2009;9<break/><italic>N</italic>&#x2009;&#x003D;&#x2009;19<xref ref-type="table-fn" rid="TF2"><sup>a</sup></xref></th>
<th valign="top" align="center">MEAF &#x2265;9<break/><italic>N</italic>&#x2009;&#x003D;&#x2009;12<xref ref-type="table-fn" rid="TF2"><sup>a</sup></xref></th>
<th valign="top" align="center"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Recipient age (years)</td>
<td valign="top" align="center">55 (48&#x2013;63)</td>
<td valign="top" align="center">58 (50&#x2013;65)</td>
<td valign="top" align="center">0.655</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">13 (68&#x0025;)</td>
<td valign="top" align="center">8 (67&#x0025;)</td>
<td valign="top" align="center">0.919</td>
</tr>
<tr>
<td valign="top" align="left">MELD score</td>
<td valign="top" align="center">11 (8&#x2013;32)</td>
<td valign="top" align="center">17 (13&#x2013;20)</td>
<td valign="top" align="center">0.405</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color:#7e8080">Etiology of cirrhosis</td>
</tr>
<tr>
<td valign="top" align="left">Alcoholic</td>
<td valign="top" align="center">11 (58&#x0025;)</td>
<td valign="top" align="center">3 (25&#x0025;)</td>
<td valign="top" align="center">0.073</td>
</tr>
<tr>
<td valign="top" align="left">Viral</td>
<td valign="top" align="center">2 (11&#x0025;)</td>
<td valign="top" align="center">4 (33&#x0025;)</td>
<td valign="top" align="center">0.117</td>
</tr>
<tr>
<td valign="top" align="left">Biliary</td>
<td valign="top" align="center">1 (5.3&#x0025;)</td>
<td valign="top" align="center">1 (8.3&#x0025;)</td>
<td valign="top" align="center">0.735</td>
</tr>
<tr>
<td valign="top" align="left">MASLD</td>
<td valign="top" align="center">4 (21&#x0025;)</td>
<td valign="top" align="center">4 (33&#x0025;)</td>
<td valign="top" align="center">0.447</td>
</tr>
<tr>
<td valign="top" align="left">HCC</td>
<td valign="top" align="center">4 (21&#x0025;)</td>
<td valign="top" align="center">7 (58&#x0025;)</td>
<td valign="top" align="center">0.035</td>
</tr>
<tr>
<td valign="top" align="left">Other</td>
<td valign="top" align="center">5 (26&#x0025;)</td>
<td valign="top" align="center">2 (17&#x0025;)</td>
<td valign="top" align="center">0.531</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color:#7e8080">Donor characteristics</td>
</tr>
<tr>
<td valign="top" align="left">Donor age (years)</td>
<td valign="top" align="center">73 (58&#x2013;76)</td>
<td valign="top" align="center">63 (51&#x2013;74)</td>
<td valign="top" align="center">0.291</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color:#7e8080">Cause of donor death</td>
</tr>
<tr>
<td valign="top" align="left">Vascular</td>
<td valign="top" align="center">13 (68&#x0025;)</td>
<td valign="top" align="center">3 (25&#x0025;)</td>
<td valign="top" align="center">0.018</td>
</tr>
<tr>
<td valign="top" align="left">Anoxia</td>
<td valign="top" align="center">2 (11&#x0025;)</td>
<td valign="top" align="center">8 (67&#x0025;)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Trauma</td>
<td valign="top" align="center">4 (21&#x0025;)</td>
<td valign="top" align="center">1 (8.3&#x0025;)</td>
<td valign="top" align="center">0.348</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color:#7e8080">Biology at procurement</td>
</tr>
<tr>
<td valign="top" align="left">ASAT (IU/L)</td>
<td valign="top" align="center">42 (24&#x2013;72)</td>
<td valign="top" align="center">74 (44&#x2013;186)</td>
<td valign="top" align="center">0.071</td>
</tr>
<tr>
<td valign="top" align="left">ALAT (IU/L)</td>
<td valign="top" align="center">27 (16&#x2013;40)</td>
<td valign="top" align="center">117 (22&#x2013;166)</td>
<td valign="top" align="center">0.019</td>
</tr>
<tr>
<td valign="top" align="left"><italic>&#x03B3;</italic>GT (IU/L)</td>
<td valign="top" align="center">39 (18&#x2013;86)</td>
<td valign="top" align="center">44 (34&#x2013;83)</td>
<td valign="top" align="center">0.247</td>
</tr>
<tr>
<td valign="top" align="left">Bilirubin (&#x03BC;mol/L)</td>
<td valign="top" align="center">8.0 (5.7&#x2013;12.0)</td>
<td valign="top" align="center">8.5 (5.8&#x2013;15.0)</td>
<td valign="top" align="center">0.772</td>
</tr>
<tr>
<td valign="top" align="left">Presence of graft steatosis</td>
<td valign="top" align="center">13 (76&#x0025;)</td>
<td valign="top" align="center">7 (64&#x0025;)</td>
<td valign="top" align="center">0.463</td>
</tr>
<tr>
<td valign="top" align="left">BAR score</td>
<td valign="top" align="center">4.0 (3.0&#x2013;12.0)</td>
<td valign="top" align="center">7.0 (3.5&#x2013;10.0)</td>
<td valign="top" align="center">0.935</td>
</tr>
<tr>
<td valign="top" align="left">Extended criteria donor</td>
<td valign="top" align="center">16 (84&#x0025;)</td>
<td valign="top" align="center">8 (67&#x0025;)</td>
<td valign="top" align="center">0.255</td>
</tr>
<tr>
<td valign="top" align="left">Total ischemia time (min)</td>
<td valign="top" align="center">332 (302&#x2013;395)</td>
<td valign="top" align="center">337 (308&#x2013;348)</td>
<td valign="top" align="center">0.921</td>
</tr>
<tr>
<td valign="top" align="left">Graft reperfusion syndrome</td>
<td valign="top" align="center">13 (68&#x0025;)</td>
<td valign="top" align="center">9 (75&#x0025;)</td>
<td valign="top" align="center">0.694</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color:#7e8080">Graft ischemia&#x2013;reperfusion histology</td>
</tr>
<tr>
<td valign="top" align="left">Severe</td>
<td valign="top" align="center">1 (5.3&#x0025;)</td>
<td valign="top" align="center">1 (8.3&#x0025;)</td>
<td valign="top" align="center">0.735</td>
</tr>
<tr>
<td valign="top" align="left">Moderate</td>
<td valign="top" align="center">9 (47&#x0025;)</td>
<td valign="top" align="center">5 (42&#x0025;)</td>
<td valign="top" align="center">0.756</td>
</tr>
<tr>
<td valign="top" align="left">Mild</td>
<td valign="top" align="center">3 (16&#x0025;)</td>
<td valign="top" align="center">5 (42&#x0025;)</td>
<td valign="top" align="center">0.109</td>
</tr>
<tr>
<td valign="top" align="left">No lesion</td>
<td valign="top" align="center">4 (21&#x0025;)</td>
<td valign="top" align="center">0 (0&#x0025;)</td>
<td valign="top" align="center">0.089</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color:#7e8080">Post-LT complications</td>
</tr>
<tr>
<td valign="top" align="left">PNF</td>
<td valign="top" align="center">0 (0&#x0025;)</td>
<td valign="top" align="center">0 (0&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Dindo&#x2013;Clavien classification</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.661</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;1</td>
<td valign="top" align="center">3 (16&#x0025;)</td>
<td valign="top" align="center">3 (25&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;2</td>
<td valign="top" align="center">9 (47&#x0025;)</td>
<td valign="top" align="center">3 (25&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;3b</td>
<td valign="top" align="center">1 (5.3&#x0025;)</td>
<td valign="top" align="center">1 (8.3&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;4a</td>
<td valign="top" align="center">6 (32&#x0025;)</td>
<td valign="top" align="center">5 (42&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">CCI score</td>
<td valign="top" align="center">42 (22&#x2013;55)</td>
<td valign="top" align="center">39 (18&#x2013;47)</td>
<td valign="top" align="center">0.683</td>
</tr>
<tr>
<td valign="top" align="left">Dindo&#x2013;Clavien classification &#x2265;3b</td>
<td valign="top" align="center">7 (37&#x0025;)</td>
<td valign="top" align="center">6 (50&#x0025;)</td>
<td valign="top" align="center">0.470</td>
</tr>
<tr>
<td valign="top" align="left">CCI &#x2265;26.6</td>
<td valign="top" align="center">13 (68&#x0025;)</td>
<td valign="top" align="center">8 (67&#x0025;)</td>
<td valign="top" align="center">0.919</td>
</tr>
<tr>
<td valign="top" align="left">Mortality</td>
<td valign="top" align="center">0 (0&#x0025;)</td>
<td valign="top" align="center">0 (0&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Kidney failure (KDIGO classification)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.327</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;0</td>
<td valign="top" align="center">8 (42&#x0025;)</td>
<td valign="top" align="center">9 (75&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;1</td>
<td valign="top" align="center">6 (32&#x0025;)</td>
<td valign="top" align="center">2 (17&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;2</td>
<td valign="top" align="center">1 (5.3&#x0025;)</td>
<td valign="top" align="center">0 (0&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;3</td>
<td valign="top" align="center">4 (21&#x0025;)</td>
<td valign="top" align="center">1 (8.3&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF2"><label>a</label>
<p>Values are expressed as <italic>n</italic> (&#x0025;) or median (IQR).</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float"><label>Table&#x00A0;3</label>
<caption><p>Univariate analysis according to the MEAF score of the kinetic variation of glycocalyx alteration and cell injury during liver graft procurement and transplantation.</p></caption>
<table>
<thead>
<tr>
<th valign="top" align="left">Biomarker</th>
<th valign="top" align="center">MEAF&#x2009;&#x003C;&#x2009;9<break/><italic>N</italic>&#x2009;&#x003D;&#x2009;19<xref ref-type="table-fn" rid="TF3"><sup>a</sup></xref></th>
<th valign="top" align="center">MEAF &#x2265;9<break/><italic>N</italic>&#x2009;&#x003D;&#x2009;12<xref ref-type="table-fn" rid="TF3"><sup>a</sup></xref></th>
<th valign="top" align="center"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="4" style="background-color:#7e8080">Donor sample</td>
</tr>
<tr>
<td valign="top" align="left">Syndecan-1 (pg/mL)</td>
<td valign="top" align="center">6,282 (4,604&#x2013;10,002)</td>
<td valign="top" align="center">12,173 (10.53&#x2013;17,570)</td>
<td valign="top" align="center">0.004</td>
</tr>
<tr>
<td valign="top" align="left">Heparan sulfate (ng/mL)</td>
<td valign="top" align="center">717 (336&#x2013;1,001)</td>
<td valign="top" align="center">928 (704&#x2013;1,104)</td>
<td valign="top" align="center">0.232</td>
</tr>
<tr>
<td valign="top" align="left">Angiopoietin-1 (pg/mL)</td>
<td valign="top" align="center">3,892 (1,168&#x2013;6,697)</td>
<td valign="top" align="center">2,011 (365&#x2013;5,047)</td>
<td valign="top" align="center">0.269</td>
</tr>
<tr>
<td valign="top" align="left">Angiopoietin-2 (pg/mL)</td>
<td valign="top" align="center">5,009 (3,225&#x2013;8,124)</td>
<td valign="top" align="center">5,403 (405&#x2013;5.7763)</td>
<td valign="top" align="center">0.704</td>
</tr>
<tr>
<td valign="top" align="left">Total CK-18 (UI/mL)</td>
<td valign="top" align="center">1,088 (373&#x2013;2,188)</td>
<td valign="top" align="center">1,205 (485&#x2013;2,230)</td>
<td valign="top" align="center">0.589</td>
</tr>
<tr>
<td valign="top" align="left">Cleaved CK-18 (UI/mL)</td>
<td valign="top" align="center">179 (101&#x2013;217)</td>
<td valign="top" align="center">164 (94&#x2013;229)</td>
<td valign="top" align="center">0.761</td>
</tr>
<tr>
<td valign="top" align="left">Total&#x2212;cleaved CK-18 (UI/mL)</td>
<td valign="top" align="center">1,088 (168&#x2013;1,862)</td>
<td valign="top" align="center">1,118 (454&#x2013;2,050)</td>
<td valign="top" align="center">0.503</td>
</tr>
<tr>
<td valign="top" align="left">TNF-alpha (pg/mL)</td>
<td valign="top" align="center">0.16 (0.00&#x2013;1.01)</td>
<td valign="top" align="center">0.13 (0.00&#x2013;0.69)</td>
<td valign="top" align="center">0.850</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color:#7e8080">End cold ischemia sample</td>
</tr>
<tr>
<td valign="top" align="left">Syndecan-1 (pg/mL)</td>
<td valign="top" align="center">40,988 (38,933&#x2013;46,212)</td>
<td valign="top" align="center">19,791 (18,051&#x2013;38,163)</td>
<td valign="top" align="center">0.093</td>
</tr>
<tr>
<td valign="top" align="left">Heparan sulfate (ng/mL)</td>
<td valign="top" align="center">0 (0&#x2013;10.3)</td>
<td valign="top" align="center">0 (0&#x2013;2)</td>
<td valign="top" align="center">0.328</td>
</tr>
<tr>
<td valign="top" align="left">Angiopoietin-1 (pg/mL)</td>
<td valign="top" align="center">0 (0&#x2013;837.2)</td>
<td valign="top" align="center">0 (0&#x2013;865.2)</td>
<td valign="top" align="center">0.511</td>
</tr>
<tr>
<td valign="top" align="left">Angiopoietin-2 (pg/mL)</td>
<td valign="top" align="center">2,513 (1,415&#x2013;3,683)</td>
<td valign="top" align="center">1,468 (1,023&#x2013;2,605)</td>
<td valign="top" align="center">0.408</td>
</tr>
<tr>
<td valign="top" align="left">Total CK-18 (UI/mL)</td>
<td valign="top" align="center">93 (63&#x2013;176)</td>
<td valign="top" align="center">1,522 (188&#x2013;2,921)</td>
<td valign="top" align="center">0.029</td>
</tr>
<tr>
<td valign="top" align="left">Cleaved CK-18 (UI/mL)</td>
<td valign="top" align="center">231 (124&#x2013;452)</td>
<td valign="top" align="center">236 (148&#x2013;405)</td>
<td valign="top" align="center">0.944</td>
</tr>
<tr>
<td valign="top" align="left">Total&#x2212;cleaved CK-18 (UI/mL)</td>
<td valign="top" align="center">0 (0&#x2013;0)</td>
<td valign="top" align="center">1,382 (18&#x2013;2,622)</td>
<td valign="top" align="center">0.004</td>
</tr>
<tr>
<td valign="top" align="left">TNF-alpha (pg/mL)</td>
<td valign="top" align="center">1.49 (0.28&#x2013;2.93)</td>
<td valign="top" align="center">0.03 (0.00&#x2013;1.62)</td>
<td valign="top" align="center">0.122</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color:#7e8080">Reperfusion sample</td>
</tr>
<tr>
<td valign="top" align="left">Syndecan-1 (pg/mL)</td>
<td valign="top" align="center">78,682 (58,522&#x2013;1,11,092)</td>
<td valign="top" align="center">65,858 (48,606&#x2013;97,542)</td>
<td valign="top" align="center">0.570</td>
</tr>
<tr>
<td valign="top" align="left">Heparan sulfate (ng/mL)</td>
<td valign="top" align="center">327 (176&#x2013;789)</td>
<td valign="top" align="center">446 (234&#x2013;829)</td>
<td valign="top" align="center">0.783</td>
</tr>
<tr>
<td valign="top" align="left">Angiopoietin-1 (pg/mL)</td>
<td valign="top" align="center">1,611 (890&#x2013;3,786)</td>
<td valign="top" align="center">1,128 (639&#x2013;2,410)</td>
<td valign="top" align="center">0.521</td>
</tr>
<tr>
<td valign="top" align="left">Angiopoietin-2 (pg/mL)</td>
<td valign="top" align="center">6,563 (3,833&#x2013;9,390)</td>
<td valign="top" align="center">8,068 (3,434&#x2013;8,845)</td>
<td valign="top" align="center">0.982</td>
</tr>
<tr>
<td valign="top" align="left">Total CK-18 (UI/mL)</td>
<td valign="top" align="center">2,689 (1,847&#x2013;4,038)</td>
<td valign="top" align="center">2,766 (1,543&#x2013;4,492)</td>
<td valign="top" align="center">&#x003E;0.999</td>
</tr>
<tr>
<td valign="top" align="left">Cleaved CK-18 (UI/mL)</td>
<td valign="top" align="center">268 (216&#x2013;410)</td>
<td valign="top" align="center">221 (180&#x2013;266)</td>
<td valign="top" align="center">0.308</td>
</tr>
<tr>
<td valign="top" align="left">Total&#x2212;cleaved CK-18 (UI/mL)</td>
<td valign="top" align="center">2,342 (1,700&#x2013;3,583)</td>
<td valign="top" align="center">2,562 (1,349&#x2013;4,272)</td>
<td valign="top" align="center">0.839</td>
</tr>
<tr>
<td valign="top" align="left">TNF-alpha (pg/mL)</td>
<td valign="top" align="center">0.45 (0.19&#x2013;1.93)</td>
<td valign="top" align="center">0.00 (0.00&#x2013;0.06)</td>
<td valign="top" align="center">0.012</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF3"><label>a</label>
<p>Values are expressed as median (IQR).</p></fn>
<fn id="TF4"><p>Total CK-18, total death cell; cleaved CK-18, Apoptosis; total&#x2212;cleaved CK-18, necrosis.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float"><label>Figure&#x00A0;2</label>
<caption><p>Kinetics of ischemia&#x2013;reperfusion biomarkers at the time of liver graft procurement according to post-LT graft dysfunction (results expressed as median and IQR).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="frtra-04-1662187-g002.tif"><alt-text content-type="machine-generated">Nine box plots display biomarker levels for different groups, labeled MEAF &#x003C; 9 and MEAF &#x2265; 9 in syndecan- 1, heparan sulfate, angiopoietin-1, angiopoietin-2, total CK-18, cleaved CK-18, total-cleaved CK-18, and TNF-alpha. Each plot compares two groups, with different ranges on the y-axis for each biomarker.</alt-text>
</graphic>
</fig>
<p>HS, Ang-1, and Ang-2 levels did not differ depending on the presence or absence of dysfunction.</p>
<p>Only a few variables differed significantly between the two groups (severe dysfunction vs. non-severe dysfunction), limiting the relevance of a multivariate analysis.</p>
<p>The Synd-1 threshold predicting dysfunction was 9.419.7&#x2005;pg/mL [AUC&#x2009;&#x003D;&#x2009;0.81, IC 95&#x0025; (0.65&#x2013;0.96), sensitivity&#x2009;&#x003D;&#x2009;83&#x0025;, specificity&#x2009;&#x003D;&#x2009;74&#x0025;, PPV&#x2009;&#x003D;&#x2009;0.67, NPV&#x2009;&#x003D;&#x2009;0.88, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05] (<xref rid="F3" ref-type="fig">Figure 3</xref>). Liver grafts with Synd-1 &#x2265;9.419.7&#x2005;pg/mL at the time of procurement exhibited significantly higher cytolysis Aspartate Aminotransf&#x00E9;rase (ASAT) 77 (56&#x2013;147) vs. 26 (21&#x2013;52)&#x2005;IU/L <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001; Alanine Aminotransférase (ALAT) 58 (32&#x2013;150) vs. 20 (12&#x2013;40)&#x2005;IU/L <italic>p</italic>&#x2009;&#x003D;&#x2009;0.004] and cholestasis [GGT 52 (34&#x2013;148) vs. 28 (15&#x2013;52)&#x2005;IU/L, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.013]. No significant associations were observed between glycocalyx degradation and either blood loss volume or blood product transfusion during LT (<xref ref-type="table" rid="T4">Table&#x00A0;4</xref>and <xref ref-type="sec" rid="s12">Supplementary Table S2</xref>).</p>
<fig id="F3" position="float"><label>Figure&#x00A0;3</label>
<caption><p>ROC curve identifying the optimal syndecan-1 threshold at the time of donor sampling for MEAF &#x2265;9 (Youden&#x2019;s test).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="frtra-04-1662187-g003.tif"><alt-text content-type="machine-generated">ROC curve for Donor Syndecan-1 with MEAF greater than or equal to nine. True Positive Rate on the y-axis and False Positive Rate on the x-axis. The Area Under the Curve (AUC) is 0.807 with a 95 percent confidence interval of 0.648 to 0.966. Optimal cutoff is 9419.7 picograms per milliliter. Sensitivity is 83 percent, specificity is 74 percent, positive predictive value is 67 percent, and negative predictive value is 88 percent. Diagonal line indicates random chance.</alt-text>
</graphic>
</fig>
<table-wrap id="T4" position="float"><label>Table&#x00A0;4</label>
<caption><p>Clinical characteristics by donor Synd-1 cutoff measured in the vena cava effluent (threshold 9,419.7&#x2005;pg/mL).</p></caption>
<table>
<thead>
<tr>
<th valign="top" align="left">Variable</th>
<th valign="top" align="center">Synd-1 <break/>&#x003C;&#x2009;9,419.7 <break/>pg/mL<break/><italic>N</italic>&#x2009;&#x003D;&#x2009;16<xref ref-type="table-fn" rid="TF5"><sup>a</sup></xref></th>
<th valign="top" align="center">Synd-1 <break/>&#x2265;&#x2009;9,419.7 <break/>pg/mL<break/><italic>N</italic>&#x2009;&#x003D;&#x2009;15<xref ref-type="table-fn" rid="TF5"><sup>a</sup></xref></th>
<th valign="top" align="center"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Recipient age (years)</td>
<td valign="top" align="center">57 (45&#x2013;63)</td>
<td valign="top" align="center">54 (50&#x2013;64)</td>
<td valign="top" align="center">0.8</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">10 (62&#x0025;)</td>
<td valign="top" align="center">11 (73&#x0025;)</td>
<td valign="top" align="center">0.7</td>
</tr>
<tr>
<td valign="top" align="left">MELD score</td>
<td valign="top" align="center">11 (8&#x2013;18)</td>
<td valign="top" align="center">17 (11&#x2013;26)</td>
<td valign="top" align="center">0.3</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color:#7e8080">Etiology of cirrhosis</td>
</tr>
<tr>
<td valign="top" align="left">Alcoholic</td>
<td valign="top" align="center">9 (56&#x0025;)</td>
<td valign="top" align="center">5 (33&#x0025;)</td>
<td valign="top" align="center">0.2</td>
</tr>
<tr>
<td valign="top" align="left">Viral</td>
<td valign="top" align="center">2 (12&#x0025;)</td>
<td valign="top" align="center">4 (27&#x0025;)</td>
<td valign="top" align="center">0.4</td>
</tr>
<tr>
<td valign="top" align="left">HCC</td>
<td valign="top" align="center">5 (31&#x0025;)</td>
<td valign="top" align="center">6 (40&#x0025;)</td>
<td valign="top" align="center">0.6</td>
</tr>
<tr>
<td valign="top" align="left">Biliary</td>
<td valign="top" align="center">1 (6.2&#x0025;)</td>
<td valign="top" align="center">1 (6.7&#x0025;)</td>
<td valign="top" align="center">&#x003E;0.9</td>
</tr>
<tr>
<td valign="top" align="left">MASLD</td>
<td valign="top" align="center">3 (19&#x0025;)</td>
<td valign="top" align="center">5 (33&#x0025;)</td>
<td valign="top" align="center">0.4</td>
</tr>
<tr>
<td valign="top" align="left">Other</td>
<td valign="top" align="center">3 (19&#x0025;)</td>
<td valign="top" align="center">4 (27&#x0025;)</td>
<td valign="top" align="center">0.7</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color:#7e8080">Donor characteristics</td>
</tr>
<tr>
<td valign="top" align="left">Donor age (years)</td>
<td valign="top" align="center">73 (58&#x2013;76)</td>
<td valign="top" align="center">60 (52&#x2013;70)</td>
<td valign="top" align="center">0.089</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color:#7e8080">Cause of donor death</td>
</tr>
<tr>
<td valign="top" align="left">Vascular</td>
<td valign="top" align="center">11 (69&#x0025;)</td>
<td valign="top" align="center">5 (33&#x0025;)</td>
<td valign="top" align="center">0.049</td>
</tr>
<tr>
<td valign="top" align="left">Anoxia</td>
<td valign="top" align="center">2 (12&#x0025;)</td>
<td valign="top" align="center">8 (53&#x0025;)</td>
<td valign="top" align="center">0.023</td>
</tr>
<tr>
<td valign="top" align="left">Trauma</td>
<td valign="top" align="center">3 (19&#x0025;)</td>
<td valign="top" align="center">2 (13&#x0025;)</td>
<td valign="top" align="center">&#x003E;0.9</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color:#7e8080">Biology at procurement</td>
</tr>
<tr>
<td valign="top" align="left">ASAT (IU/L)</td>
<td valign="top" align="center">26 (21&#x2013;52)</td>
<td valign="top" align="center">77 (56&#x2013;147)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">ALAT (IU/L)</td>
<td valign="top" align="center">20 (12&#x2013;40)</td>
<td valign="top" align="center">58 (32&#x2013;150)</td>
<td valign="top" align="center">0.004</td>
</tr>
<tr>
<td valign="top" align="left">&#x03B3;GT (IU/L)</td>
<td valign="top" align="center">28 (15&#x2013;52)</td>
<td valign="top" align="center">52 (34&#x2013;148)</td>
<td valign="top" align="center">0.013</td>
</tr>
<tr>
<td valign="top" align="left">Bilirubin (&#x03BC;mol/L)</td>
<td valign="top" align="center">8.2 (5.8&#x2013;14.2)</td>
<td valign="top" align="center">7.0 (5.5&#x2013;14.0)</td>
<td valign="top" align="center">&#x003E;0.9</td>
</tr>
<tr>
<td valign="top" align="left">BAR score</td>
<td valign="top" align="center">4.0 (3.0&#x2013;9.8)</td>
<td valign="top" align="center">7.0 (3.5&#x2013;11.0)</td>
<td valign="top" align="center">0.5</td>
</tr>
<tr>
<td valign="top" align="left">Extended criteria donor</td>
<td valign="top" align="center">14 (88&#x0025;)</td>
<td valign="top" align="center">10 (67&#x0025;)</td>
<td valign="top" align="center">0.2</td>
</tr>
<tr>
<td valign="top" align="left">Total ischemia time (min)</td>
<td valign="top" align="center">325 (292&#x2013;400)</td>
<td valign="top" align="center">345 (320&#x2013;370)</td>
<td valign="top" align="center">0.6</td>
</tr>
<tr>
<td valign="top" align="left">Graft reperfusion syndrome</td>
<td valign="top" align="center">10 (62&#x0025;)</td>
<td valign="top" align="center">12 (80&#x0025;)</td>
<td valign="top" align="center">0.4</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color:#7e8080">Graft ischemia&#x2013;reperfusion histology</td>
</tr>
<tr>
<td valign="top" align="left">Severe</td>
<td valign="top" align="center">1 (6.2&#x0025;)</td>
<td valign="top" align="center">1 (6.7&#x0025;)</td>
<td valign="top" align="center">&#x003E;0.9</td>
</tr>
<tr>
<td valign="top" align="left">Moderate</td>
<td valign="top" align="center">9 (56&#x0025;)</td>
<td valign="top" align="center">5 (33&#x0025;)</td>
<td valign="top" align="center">0.2</td>
</tr>
<tr>
<td valign="top" align="left">Mild</td>
<td valign="top" align="center">4 (25&#x0025;)</td>
<td valign="top" align="center">4 (27&#x0025;)</td>
<td valign="top" align="center">&#x003E;0.9</td>
</tr>
<tr>
<td valign="top" align="left">No lesion</td>
<td valign="top" align="center">0 (0&#x0025;)</td>
<td valign="top" align="center">4 (27&#x0025;)</td>
<td valign="top" align="center">0.043</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color:#7e8080">Post-LT complications</td>
</tr>
<tr>
<td valign="top" align="left">Mortality</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Dindo&#x2013;Clavien classification</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.016</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">3 (19&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">10 (62&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;3b</td>
<td valign="top" align="center">3b</td>
<td valign="top" align="center">0 (0&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;4a</td>
<td valign="top" align="center">4a</td>
<td valign="top" align="center">3 (19&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">CCI score</td>
<td valign="top" align="center">36 (21&#x2013;47)</td>
<td valign="top" align="center">47 (36&#x2013;58)</td>
<td valign="top" align="center">0.2</td>
</tr>
<tr>
<td valign="top" align="left">Dindo&#x2013;Clavien classification &#x2265;3b</td>
<td valign="top" align="center">3 (19&#x0025;)</td>
<td valign="top" align="center">10 (67&#x0025;)</td>
<td valign="top" align="center">0.007</td>
</tr>
<tr>
<td valign="top" align="left">CCI score &#x2265;26.6</td>
<td valign="top" align="center">9 (56&#x0025;)</td>
<td valign="top" align="center">12 (80&#x0025;)</td>
<td valign="top" align="center">0.3</td>
</tr>
<tr>
<td valign="top" align="left">Kidney failure (KDIGO classification)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.15</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;0</td>
<td valign="top" align="center">9 (56&#x0025;)</td>
<td valign="top" align="center">8 (53&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;1</td>
<td valign="top" align="center">2 (12&#x0025;)</td>
<td valign="top" align="center">6 (40&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;2</td>
<td valign="top" align="center">1 (6.2&#x0025;)</td>
<td valign="top" align="center">0 (0&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;3</td>
<td valign="top" align="center">4 (25&#x0025;)</td>
<td valign="top" align="center">1 (6.7&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF5"><label>a</label>
<p>Values are expressed as <italic>n</italic> (&#x0025;) or median (IQR).</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3d"><title>Biomarkers and postoperative complications</title>
<p>Since only Synd-1 was elevated, we assessed the occurrence of complications beyond the cut off identified on the ROC curve. Recipients who received liver graft with Synd-1 level &#x2265;9,419.7&#x2009;pg/mL in the vena cava effluent at the time of procurement experienced significantly more severe post-LT complications according to the Dindo-Clavien classification (67&#x0025; vs. 19&#x0025;, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.007) (<xref ref-type="table" rid="T4">TABLE 4</xref>).</p>
</sec>
<sec id="s3e"><title>Biomarkers of glycocalyx alterations and histological ischemia&#x2013;reperfusion injuries in liver biopsies.</title>
<p>Despite elevated Synd-1 levels, liver grafts did not show evidence of severe histological injury after graft reperfusion (<xref ref-type="table" rid="T4">Table&#x00A0;4</xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><title>Discussion</title>
<p>Our study is the first to investigate glycocalyx alterations and angiopoietin secretion during liver transplantation. Synd-1 levels in the cava effluent at the time of procurement appeared to serve as a predictive marker of graft dysfunction.</p>
<p>Schiefer et al. measured Synd-1 levels in the graft cava effluent at the end of cold ischemia (<xref ref-type="bibr" rid="B23">23</xref>), reporting a median level of 4.720&#x2005;ng/mL. In our study, Synd-1 levels in the vena cava effluent at the end of cold ischemia were lower, with a median concentration of 39.12&#x2005;ng/mL. In the study by Schiefer, the liver grafts were preserved in histidine&#x2013;tryptophan&#x2013;ketoglutarate (HTK, Custodiol&#x00AE;) solution, whereas we preserved the organs in IGL-1&#x00AE; solution. IGL-1&#x00AE; has been shown to protect against glycocalyx alteration (<xref ref-type="bibr" rid="B24">24</xref>). While Schiefer et al. reported a significant increase in Synd-1 levels in the cava effluent at the end of cold ischemia, we did not find this variation in our study, and Synd-1 levels were similar in patients with graft dysfunction.</p>
<p>Schiefer et al. demonstrated that the glycocalyx is primarily degraded during cold ischemia (<xref ref-type="bibr" rid="B23">23</xref>). However, they did not indicate baseline levels of Synd-1 secretion in the graft prior to procurement and after reperfusion. In our study, we observed an upward trend in Synd-1 release within the graft from organ procurement to its reperfusion, suggesting continuous degradation of the glycocalyx within the graft during transplantation.</p>
<p>They highlighted a positive correlation between the Synd-1 release in the vena cava effluent at the end of cold ischemia and biomarkers of liver injury (<xref ref-type="bibr" rid="B23">23</xref>). In our study, no peak in postoperative cytolysis was observed; however, patients with very high Synd-1 levels experienced significantly more post-LT kidney dysfunction (data not available) (<xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>Passov et al. focused on what happens within the graft during LT and in the peripheral blood circulation of the recipient (<xref ref-type="bibr" rid="B26">26</xref>). They collected blood samples from the portal and hepatic veins before and after portal unclamping. Synd-1 levels showed a significant increase from the portal vein to the hepatic veins, while heparan sulfate levels showed a significant decrease; however, these changes did not correlate with graft dysfunction. They hypothesize that the decrease in heparan sulfate in the vena cava effluent reflects its utilization in repairing the glycocalyx of the graft. This decreasing trend in heparan sulfate within the graft is consistent with our results. In kidney transplantation, the glycocalyx thickens within 30&#x2005;min after the reperfusion of the kidney graft (<xref ref-type="bibr" rid="B27">27</xref>). The infusion of exogenous heparan sulfate seems to contribute to the reconstruction of the glycocalyx (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>). This finding strengthens the hypothesis that the early decrease in heparan sulfate may be secondary to its role in the early regeneration of the glycocalyx. Another hypothesis could be that Synd-1 is more stable than heparan sulfate in plasma (<xref ref-type="bibr" rid="B30">30</xref>).</p>
<p>It is also worth noting that the type of preservation solution plays a role in preventing glycocalyx damage, as Synd-1 levels at the end of cold ischemia in our study were 100 times lower than those reported by Schiefer et al. (<xref ref-type="bibr" rid="B23">23</xref>). Contrary to the data in the literature, we found no association between TNF-alpha levels and glycocalyx degradation within the graft (<xref ref-type="bibr" rid="B31">31</xref>&#x2013;<xref ref-type="bibr" rid="B33">33</xref>).</p>
<p>Our study is the first to measure variations in Ang-1 and Ang-2 alongside Synd-1 and heparan sulfate. At baseline, Ang-1 is bound to the Tie-2 receptor on the surface of endothelial cells, helping to maintain and stabilize endothelium barrier function by inducing anti-inflammatory and pro-survival intracellular signaling pathways (<xref ref-type="bibr" rid="B34">34</xref>). Secretion of Ang-2 by endothelial cells in response to injury destabilizes the endothelium because it competes with Ang-1 for binding to Tie-2 (<xref ref-type="bibr" rid="B35">35</xref>). During ischemia, Ang-2 activity increases, while Ang-1 levels in plasma significantly decrease (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>). We observed a similar trend in our study, although the changes did not reach statistical significance.</p>
<sec id="s4a"><title>Limitations</title>
<p>The sample size in our study remains small and might not be robust enough to detect correlations; therefore, the results should be interpreted with caution. In addition, for cost reasons, we only measured one inflammatory cytokine, which showed little variation, contrary to findings described in the literature. Also, sampling was limited to 1&#x2005;h after portal reperfusion of the graft, preventing analysis of biomarkers in the days following transplantation. The possible impact of medications on the glycocalyx must also be considered; particularly, glucocorticoids, potent anti-inflammatory agents, have been shown to exert protective effects on the endothelium (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>).</p>
<p>Finally, we have a liver transplantation with a DCD graft, which may represent a confounding factor in the study due to differences in procurement conditions. It would be useful to perform additional analyses involving a larger number of DCD donors.</p>
</sec>
<sec id="s4b"><title>Perspectives</title>
<p>We have shown that measuring glycocalyx degradation markers as early as organ procurement can predict future liver graft function. Such early measurements could provide objective biological support to assist in graft selection. This study highlights the importance of glycocalyx preservation.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions"><title>Conclusion</title>
<p>Glycocalyx degradation appears to be an early and significant event in the ischemia&#x2013;reperfusion injury cascade. Synd-1 may serve as a predictive biomarker of future liver graft function. These findings underscore the importance of considering studies that aim to develop strategies for preserving and protecting the endothelium during liver transplantation.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability"><title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="ethics-statement"><title>Ethics statement</title>
<p>The studies involving humans were approved by the local committee: CO 16-006, CNIL No. 1856085. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8" sec-type="author-contributions"><title>Author contributions</title>
<p>NBe: Conceptualization, Funding acquisition, Investigation, Methodology, Resources, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. AT: Investigation, Methodology, Writing &#x2013; review &#x0026; editing. MA: Project administration, Writing &#x2013; review &#x0026; editing. MS: Project administration, Writing &#x2013; review &#x0026; editing. NBo: Resources, Writing &#x2013; review &#x0026; editing. HT: Resources, Writing &#x2013; review &#x0026; editing. DP: Resources, Writing &#x2013; review &#x0026; editing. NC: Resources, Writing &#x2013; review &#x0026; editing. NG: Resources, Writing &#x2013; review &#x0026; editing. RA: Conceptualization, Methodology, Writing &#x2013; review &#x0026; editing. CF: Conceptualization, Methodology, Writing &#x2013; review &#x0026; editing. PL: Formal analysis, Writing &#x2013; review &#x0026; editing. SR: Investigation, Methodology, Resources, Validation, Writing &#x2013; review &#x0026; editing. DA: Conceptualization, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="s10" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="ai-statement"><title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s13" sec-type="disclaimer"><title>Publisher&#x0027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material"><title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/frtra.2025.1662187/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/frtra.2025.1662187/full&#x0023;supplementary-material</ext-link></p>
<supplementary-material xlink:href="Datasheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/521627/overview">Andrew S. Barbas</ext-link>, Duke University, United States</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1624011/overview">Jae Young Kim</ext-link>, Gachon University, Republic of Korea</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1663074/overview">Madhukar S. Patel</ext-link>, University of Texas Southwestern Medical Center, United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3152569/overview">Elizabeth Wilson</ext-link>, Duke University, United States</p></fn>
</fn-group>
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