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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Transplant.</journal-id>
<journal-title>Frontiers in Transplantation</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Transplant.</abbrev-journal-title>
<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.2025.1651671</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Transplantation</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Ischemia-reperfusion injury with a model of porcine whole-blood <italic>ex-vivo</italic> lung perfusion</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes"><name><surname>Menager</surname><given-names>Jean-Baptiste</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="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/1899611/overview"/><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Mercier</surname><given-names>Julia</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1206506/overview" /><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/></contrib>
<contrib contrib-type="author"><name><surname>Issard</surname><given-names>Justin</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="aff" rid="aff3"><sup>3</sup></xref><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Ghigna</surname><given-names>Maria-Rosa</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="aff" rid="aff4"><sup>4</sup></xref><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/></contrib>
<contrib contrib-type="author"><name><surname>Tran Van Nhieu</surname><given-names>Jeanne</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/></contrib>
<contrib contrib-type="author"><name><surname>Decante</surname><given-names>Benoit</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><role content-type="https://credit.niso.org/contributor-roles/project-administration/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Guihaire</surname><given-names>Julien</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2560742/overview" /><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Fadel</surname><given-names>Elie</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="aff" rid="aff3"><sup>3</sup></xref><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Antigny</surname><given-names>Fabrice</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/81988/overview" /><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Mercier</surname><given-names>Olaf</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="aff" rid="aff3"><sup>3</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2763000/overview" /><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/><role content-type="https://credit.niso.org/contributor-roles/resources/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><institution>INSERM UMR_S 999, Pulmonary Hypertension: Pathophysiology and Novel Therapies, Marie Lannelongue Hospital</institution>, <addr-line>Le Plessis-Robinson</addr-line>, <country>France</country></aff>
<aff id="aff2"><label><sup>2</sup></label><institution>School of Medicine, Pulmonary Hypertension: Pathophysiology and Novel Therapies (HPPIT), Paris-Saclay University</institution>, <addr-line>Le Kremlin-Bic&#x00EA;tre</addr-line>, <country>France</country></aff>
<aff id="aff3"><label><sup>3</sup></label><institution>Department of Thoracic Surgery and Heart-Lung Transplantation, Paris-Saclay University, Marie-Lannelongue Hospital</institution>, <addr-line>Le Plessis Robinson</addr-line>, <country>France</country></aff>
<aff id="aff4"><label><sup>4</sup></label><institution>Pathology Department, Gustave Roussy Institute</institution>, <addr-line>Villejuif</addr-line>, <country>France</country></aff>
<aff id="aff5"><label><sup>5</sup></label><institution>IMRB INSERM U955, Paris-Est Cr&#x00E9;teil University</institution>, <addr-line>Cr&#x00E9;teil</addr-line>, <country>France</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1823743/overview">Sebastian Michel</ext-link>, LMU Munich University Hospital, Germany</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/920945/overview">Markus Kamler</ext-link>, Essen University Hospital, Germany</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3122967/overview">Christine Kamla</ext-link>, LMU Munich University Hospital, Germany</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Jean-Baptiste Menager <email>jb.menager@ghpsj.fr</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>02</day><month>09</month><year>2025</year></pub-date>
<pub-date pub-type="collection"><year>2025</year></pub-date>
<volume>4</volume><elocation-id>1651671</elocation-id>
<history>
<date date-type="received"><day>22</day><month>06</month><year>2025</year></date>
<date date-type="accepted"><day>11</day><month>08</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2025 Menager, Mercier, Issard, Ghigna, Tran Van Nhieu, Decante, Guihaire, Fadel, Antigny and Mercier.</copyright-statement>
<copyright-year>2025</copyright-year><copyright-holder>Menager, Mercier, Issard, Ghigna, Tran Van Nhieu, Decante, Guihaire, Fadel, Antigny and Mercier</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://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.</p></license>
</permissions>
<abstract><sec><title>Introduction</title>
<p>Our objective was to model Ischemia-Reperfusion (IR) injuries by <italic>ex-vivo</italic> perfusion of porcine lungs with whole blood containing the inflammatory cells.</p>
</sec><sec><title>Methods</title>
<p>Lungs and whole blood were collected from 12 pigs and submitted to cold ischemia time (CIT) of 1 or 18&#x2005;h. The lungs were then ventilated and perfused for 6&#x2005;h at 37&#x00B0;C using donor whole blood. Pulmonary pressure was 20&#x2005;mmHg.</p>
</sec><sec><title>Results</title>
<p>Compared to the short CIT group, the long CIT group had a lower maximum perfusion flow rate (mean difference in &#x0025; cardiac output, &#x2212;39&#x0025;; 95&#x0025; CI, &#x2212;66 to &#x2212;12; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.005) and higher pulmonary vascular resistance (mean difference, 1,077 dyne&#x00B7;s&#x00B7;cm<sup>&#x2212;</sup>&#x2075;; 95&#x0025; CI, 685&#x2013;1,469; <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001). Neutrophils decreased more in the long CIT group (mean difference, &#x2212;744.02&#x2005;cells/mm<sup>3</sup>; 95&#x0025; CI, &#x2212;1,343.11 to &#x2212;144.92; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.017), suggesting sequestration in the lung parenchyma. Interleukin-6 and &#x2212;8 levels after 6&#x2005;h were significantly higher in the long CIT group (mean differences, 1.1&#x2005;pg/ml; 95&#x0025; CI, 0.39&#x2013;1.8; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.003; and 29.31&#x2005;pg/ml; 95&#x0025;CI, 16.00&#x2013;42.61; <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001; respectively). Progressive microvasculopathy resulting in lymphangiectasia and peribronchovascular inflammatory infiltrates were seen in both groups.</p>
</sec><sec><title>Conclusion</title>
<p>After 18&#x2005;h of CIT, <italic>ex-vivo</italic> whole-blood perfusion for 6&#x2005;h replicated features of IR injuries.</p>
</sec>
</abstract>
<kwd-group>
<kwd>ischemia-reperfusion</kwd>
<kwd>animal model</kwd>
<kwd>organ perfusion</kwd>
<kwd>lung transplant</kwd>
<kwd>primary graft dysfunction</kwd>
</kwd-group><contract-sponsor id="cn001">French Society of Thoracic and Cardiovascular Surgery</contract-sponsor><counts>
<fig-count count="7"/>
<table-count count="0"/><equation-count count="0"/><ref-count count="19"/><page-count count="11"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Thoracic Transplantation</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><title>Introduction</title>
<p>The term ischemia-reperfusion injury (IRI) refers to the set of cellular and biochemical damages caused by the reoxygenation of tissue that has undergone a period of hypoxia, either due to an oxygen deficit or to an interruption of blood perfusion. IRI is a common pathophysiological mechanism in human medicine. It is implicated in a wide range of situations: crush syndrome in trauma, revascularization following cerebral or myocardial infarctions, extracorporeal circulation, and solid organ transplantation (<xref ref-type="bibr" rid="B1">1</xref>).</p>
<p>In the field of lung transplantation more specifically, IRI is considered the key mechanism behind the formation of inflammatory edema that sometimes develops in the graft after implantation. Clinically, this manifests as a respiratory distress syndrome known in this context as primary graft dysfunction (PGD) (<xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>Despite progress in the overall description of IRI mechanisms, there is currently no specific treatment for this phenomenon in clinical practice. Therefore, it is important to continue studying IRI experimentally to deepen our understanding. Preclinical models of pulmonary IRI exist but none have described, to our knowledge, the characteristics of an isolated lung perfused with whole blood. <italic>Ex vivo</italic> perfusion would offer the advantage of a controlled system and could serve as a platform for testing hypotheses by varying lung perfusion and ventilation conditions. It would also be possible to test the effects of new therapies at a preclinical stage using this model.</p>
<p>Our objective was to develop a model of severe pulmonary IRI and to study the physiological characteristics of porcine lungs perfused <italic>ex vivo</italic> with whole blood after a period of cold ischemia.</p>
</sec>
<sec id="s2" sec-type="methods"><title>Materials and methods</title>
<sec id="s2a" sec-type="ethics-statement"><title>Ethics statement</title>
<p>All animals received standard care in accordance with French law for animal research. The protocol was approved by the Marie Lannelongue Hospital institutional review board and by the French committee for animal research (APAFIS). The principles of replacement, refinement, and reduction were followed. This manuscript was written in compliance with the ARRIVE 2.0 guidelines for animal research (<xref ref-type="bibr" rid="B3">3</xref>).</p>
</sec>
<sec id="s2b"><title>Study design</title>
<p><xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref> shows the experimental protocol. The lungs and whole blood were retrieved from 12 Mangaliza pigs. The animals were allocated in a 1:1 ratio to a cold ischemia time (CIT), with static preservation at 4&#x00B0;C, of 1&#x2005;h or 18&#x2005;h. The 1-hour period allowed the operator sufficient time to prepare the next phase of the experiment, while the 18-hour period was chosen based on previous reports indicating that it maximizes IRI in pig lungs (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Experimental protocol. Twelve adult pigs underwent lung recovery using the same technique as for human lung procurement. During the procedure, the donor&#x0027;s whole blood was also collected, and both the lungs and blood were stored at 4&#x00B0;C. The animals were randomly assigned to either a short cold ischemia time (S-CIT) of 1&#x2005;h (6 animals) or a long CIT (L-CIT) of 18&#x2005;h (6 animals). The lungs were then perfused with the donor&#x0027;s whole blood rewarmed at 37&#x00B0;C and ventilated for 6&#x2005;h. During perfusion, physiological, biological, and histological changes were assessed.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="frtra-04-1651671-g001.tif"><alt-text content-type="machine-generated">Flowchart depicting an experimental procedure involving 12 pigs weighing 35-50 kg. It includes steps like lung retrieval, whole blood collection, cold ischemia time (divided into short and long CIT groups, each with six subjects), temperature held at four degrees Celsius for one hour and eighteen hours. This is followed by ex vivo lung perfusion (EVLP) for six hours, leading to analysis of physiology, perfusate, and histology. Icons for each process, such as a pig, droplet, snowflake, and lungs, are included.</alt-text>
</graphic>
</fig>
<p><italic>Ex-vivo</italic> lung perfusion (EVLP) with the whole blood of the donor animal was then performed for 6&#x2005;h in both groups.</p>
</sec>
<sec id="s2c"><title>Lung and blood recovery</title>
<p>The pigs were anesthetized with repeated intravenous injection of propofol (3&#x2005;mg/kg), cisatracurium (0.3&#x2005;mg/kg), and sufentanil (0.2&#x2005;mg/kg). A Swan-Ganz catheter was inserted into the pulmonary artery via percutaneous puncture of the superior vena cava. Correct catheter placement was confirmed by radiography. Pulmonary artery pressures and cardiac output (CO) were measured three times, and the mean value was recorded.</p>
<p>A median sternotomy was performed. After heparinization (30,000&#x2005;IU), the pulmonary artery was cannulated and connected to a flushing line. The inferior vena cava was cannulated (Ultraflex 28Fr, Medtronic, Dublin, Ireland) through the right atrium and connected to blood-collection bags (CPDA1 blood storage bag, Macopharma, Mouvaux, France) (<xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>). The left hemi-azygos vein was ligated. The pig was placed in the Trendelenburg position, the atriocaval cannula clamp was released, and 1.5&#x2005;L of blood was collected, within less than 5&#x2005;min. The vena cava was then ligated, and the left atrium was opened.</p>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>Blood collection and <italic>ex-vivo</italic> lung perfusion techniques. Before pneumoplegia, a cannula was inserted into the inferior vena cava <bold>(A)</bold> and connected to blood collection bags <bold>(B)</bold> The animal was then placed in the Trendelenburg position, and 1.5&#x2005;L of blood was collected by gravity and stored for subsequent lung perfusion. The <italic>ex-vivo</italic> lung perfusion circuit is shown in <bold>(C)</bold>: pump and blood reservoir (a), thermal heater (b), gas mix for carboxylation (c), pressure monitor (d), mechanical ventilator (e), lungs in an isothermic chamber (f), and recovery line (g).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="frtra-04-1651671-g002.tif"><alt-text content-type="machine-generated">Panel A shows a surgical procedure with hands using tools near exposed organs. Panel B displays medical supplies, including bags and syringes, arranged on a sterile surface. Panel C depicts a medical setup with equipment labeled a to g, including a covered organ under a dome, surrounded by monitoring devices and surgical tools.</alt-text>
</graphic>
</fig>
<p>The lungs were flushed through the pulmonary artery with 2&#x2005;L of 4&#x00B0;C Perfadex Plus&#x00AE; (XVIVO Perfusion, M&#x00F6;lndal, Sweden) and 1,000&#x2005;&#x00B5;g of epoprostenol (Flolan&#x00AE;, GSK, London, UK). The lungs were recovered, inflated with 50&#x0025; FiO<sub>2</sub>, and stored at 4&#x00B0;C in bags after a retrograde pneumoplegia with 1l of Perfadex Plus&#x00AE; for either the short period of 1&#x2005;h (S-CIT group) or the long period of 18&#x2005;h (L-CIT group).</p>
</sec>
<sec id="s2d"><title>Lung perfusion</title>
<p>After 1&#x2005;h or 18&#x2005;h of cold static preservation, the lungs were connected to a closed circuit (EVLP circuit kit without the leukocyte filter, XVIVO) consisting of a centrifugal pump and a blood reservoir. The left atrium and pulmonary artery were cannulated, and the trachea was intubated. The circuit was primed with donor whole blood and 10,000&#x2005;IU of heparin (<xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>).</p>
<fig id="F3" position="float"><label>Figure 3</label>
<caption><p>Changes over time in lungs physiological data. <bold>(A)</bold> flow rate, <bold>(B)</bold> pulmonary vascular resistance, <bold>(C)</bold> pulmonary compliance. By maintaining a constant pulmonary arterial pressure of 20&#x2005;mmHg, the perfusion flow rate could be increased during the first 2&#x2013;3&#x2005;h of <italic>ex-vivo</italic> lung perfusion in both groups. However, the maximum flow rate achieved was on average significantly lower in the L-CIT group compared to the S-CIT group, and no organ could be perfused at 100&#x0025; of the donor&#x0027;s cardiac output. After this initial phase, pulmonary vascular resistance increased significantly, requiring a reduction in the perfusion flow rate to prevent the arterial pressure from exceeding 20&#x2005;mmHg.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="frtra-04-1651671-g003.tif"><alt-text content-type="machine-generated">Three line graphs display data on flow rate, pulmonary vascular resistance, and pulmonary compliance over six hours for two groups, L-CIT (blue) and S-CIT (black). Graph A shows flow rate with L-CIT increasing and decreasing; S-CIT peaks around two hours. Graph B depicts pulmonary vascular resistance declining; L-CIT initially higher, converging with S-CIT. Graph C portrays pulmonary compliance with slight fluctuations, S-CIT generally higher. Significance levels: P=0.005 for flow rate, P&#x003C;0.001 for resistance and compliance.</alt-text>
</graphic>
</fig>
<p>The perfusion pressures of the pulmonary artery (20&#x2005;mmHg) and left atrium (5&#x2005;mmHg) were chosen to simulate the conditions experienced by lung grafts at the time of clamp release in human clinical practice. The perfusion flow rate was continuously measured and constantly adjusted to maintain the pulmonary arterial pressure (PAP) at 20&#x2005;mmHg. The level of the reservoir was adjusted to maintain the left atrial pressure at 5&#x2005;mmHg throughout the procedure.</p>
<p>The temperature was gradually increased to 32&#x00B0;C after 20&#x2005;min of perfusion and maintained at 37.5&#x00B0;C from 30&#x2005;min onward. Ventilation was started once the graft reached 32&#x00B0;C, with the following parameters: tidal volume, 7&#x2005;ml/kg/min; positive end-expiratory pressure (PEEP), 5&#x2005;mmHg; FiO<sub>2</sub>, 21&#x0025;, and respiratory rate, 7&#x2005;breaths/min. Every hour, the lungs were challenged by increasing the tidal volume to 10&#x2005;ml/kg/min, FiO<sub>2</sub> to 100&#x0025;, and the respiratory rate to 10&#x2005;breaths/min, for 10&#x2005;min, to allow assessments. The gas flow of the EVLP system was initiated with ventilation and adjusted to maintain an inflow PaCO<sub>2</sub> between 35 and 45&#x2005;mmHg.</p>
</sec>
<sec id="s2e"><title>Lung function assessment</title>
<p>Every 30&#x2005;min, we recorded the flow rate required to maintain a pulmonary artery pressure of 20&#x2005;mmHg, as a percentage of the donor&#x0027;s CO. Pulmonary vascular resistance (PVR, dyne&#x00B7;s&#x00B7;cm<sup>&#x2212;</sup>&#x2075;) was calculated as [(PAP-LAP)/Flow rate]&#x2009;&#x00D7;&#x2009;80, where PAP is the pulmonary artery pressure and LAP the left atrial pressure.</p>
<p>After one hour then every 30&#x2005;min, we recorded the ventilatory peak pressure (Ppeak) and mean pressure (Pmean). Pulmonary compliance (ml/mmHg) was calculated as Tidal volume/(Ppeak-PEEP).</p>
<p>Blood gas analyses were performed simultaneously in the inflow and outflow circuits after each lung challenge. Graft oxygenation capacity was expressed as PaO<sub>2</sub> outflow - PaO<sub>2</sub> inflow (&#x0394;PaO<sub>2</sub>).</p>
</sec>
<sec id="s2f"><title>Laboratory tests for ischemia-reperfusion injury</title>
<p>Hourly, 5&#x2005;ml of perfusate was taken for analysis and 5&#x2005;ml of blood was centrifuged at 3,000&#x2005;rpm for 10&#x2005;min and the supernatant stored at &#x2212;80&#x00B0;C for further analysis.</p>
<p>Perfusate levels of interleukin (IL)-2, IL-4, IL-6, IL-8, IL-10, IL-12, IL-18, and TNF&#x03B1; were measured using a Bio-Plex Pro Human Cytokine Assay kit (Bio-Rad Laboratories, Mississauga, Canada), following the manufacturer&#x0027;s protocol. The analytes were read with a Bioplex200 analyzer (Bio-Rad Laboratories), and the data were analyzed using Bio-Plex Manager 6.0 (Bio-Rad Laboratories).</p>
</sec>
<sec id="s2g"><title>Histological assessment of ischemia-reperfusion injury</title>
<p>Lung samples from the left lower lobe were taken hourly for a descriptive histological evaluation. After 6&#x2005;h, lung samples from the left superior lobe were taken for a comparative histological assessment. Specimens were fixed in buffered 4.5&#x0025; formaldehyde for standard microscopic examination. Sections were colored with hematoxylin eosin saffron. Two slides per animal were assessed by the same lung pathologist who was blinded to data on the animals.</p>
<p>Based on our previous observations, we developed a semi-quantitative descriptive histological score for IR injury, based on four items, each with subcategories: edema (subpleural, septal, peribronchiolar, perivascular), lymphangiectasis (septal, peribronchiolar), inflammatory infiltrate (subpleural, septal, peribronchiolar, perivascular, intra-alveolar) and vascular congestion. Each subcategory was rated 0 (absent), 1 (present, &#x003C;25&#x0025; of section), 2 (present, 25&#x0025;&#x2013;50&#x0025; of section), or 3 (present, &#x003E;50&#x0025; of section). The score could thus range from 0 (no lesions) to 36 (most severe lesions).</p>
<p>To evaluate lung edema formation, at the end of EVLP, the right superior lobe was dissected, weighed, and heated at 80&#x00B0;C for 7 days to allow calculation of the wet/dry lung weight ratio.</p>
</sec>
<sec id="s2h"><title>Statistical analysis</title>
<p>The variables are described as mean&#x2009;&#x00B1;&#x2009;SD. The Shapiro&#x2013;Wilk test was applied to assess variable distribution. Comparisons were with Student&#x0027;s <italic>t</italic> test for normally distributed variables and with the non-parametric test Mann&#x2013;Whitney test for skewed variables. Repeatedly measured variables were evaluated using two-way analysis of variance (ANOVA) and linear regression with or without an interactive term (time or groups) depending on the significance of the interaction verified by the ANOVA. Time was handled as a categorical variable in the regression analyses. The linear regression results were expressed as the estimated mean differences with their 95&#x0025; confidence intervals (95&#x0025; CI).</p>
<p>All the statistical analyses were performed with the R program (v4.1.2, open source, <ext-link ext-link-type="uri" xlink:href="http://cran.r-project.org/">http://cran.r-project.org/</ext-link>) and graphs were drawn with Prism&#x00AE; V8.0 (GraphPad, La Jolla, CA). All tests were two-sided and <italic>P</italic> values &#x003C;0.05 were considered significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><title>Results</title>
<sec id="s3a"><title>Lung physiology parameters</title>
<p>With a constant pulmonary pressure of 20 mmHg, the perfusion flow rate (<xref ref-type="fig" rid="F3">Figure&#x00A0;3A</xref>) increased over 2&#x2005;h in the S-CIT group from 42&#x0025;&#x2009;&#x00B1;&#x2009;32&#x0025; to 64&#x2009;&#x00B1;&#x2009;15&#x0025; of CO and over 3.5&#x2005;h in the L-CIT group, but only from 16&#x0025;&#x2009;&#x00B1;&#x2009;24&#x0025; to 40&#x0025;&#x2009;&#x00B1;&#x2009;21&#x0025; of CO. During the remainder of the procedure, the flow rate had to be decreased in both groups to prevent an increase in pulmonary pressure. The maximum achievable flow was significantly lower in the L-CIT group during the first 3&#x2005;h of perfusion (estimated mean difference: &#x2212;39&#x0025; of CO; 95&#x0025; CI, &#x2212;66 to &#x2212;12; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.005).</p>
<p>Conversely, PVR (<xref ref-type="fig" rid="F3">Figure&#x00A0;3B</xref>) decreased initially (S-CIT: from 1,253&#x2009;&#x00B1;&#x2009;1,021 dyne&#x00B7;s&#x00B7;cm<sup>&#x2212;</sup>&#x2075; at 1&#x2005;h to 478&#x2009;&#x00B1;&#x2009;129 dyne&#x00B7;s&#x00B7;cm<sup>&#x2212;</sup>&#x2075; at 2&#x2005;h: L-CIT: from 3,799&#x2009;&#x00B1;&#x2009;1,862 dyne&#x00B7;s&#x00B7;cm<sup>&#x2212;</sup>&#x2075; at 1&#x2005;h to 848&#x2009;&#x00B1;&#x2009;313 dyne&#x00B7;s&#x00B7;cm<sup>&#x2212;</sup>&#x2075; at 3.5&#x2005;h) then rose sharply. Overall, PVR remained significantly higher in the L-CIT group (estimated mean difference, 1,077 dyne&#x00B7;s&#x00B7;cm<sup>&#x2212;</sup>&#x2075;; 95&#x0025;CI, 685&#x2013;1,469; <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001).</p>
<p>Pulmonary compliance (<xref ref-type="fig" rid="F3">Figure&#x00A0;3C</xref>) exhibited a sawtooth pattern in both groups due to the increase in ventilation pressures during the hourly challenges. The range was 60&#x2009;&#x00B1;&#x2009;23&#x2013;75&#x2009;&#x00B1;&#x2009;11&#x2005;mmHg in the S-CIT group and 48&#x2009;&#x00B1;&#x2009;11&#x2013;66&#x2009;&#x00B1;&#x2009;20&#x2005;mmHg in the L-CIT group. Overall, compliance was significantly lower in the L-CIT group (estimated mean difference, &#x2212;11.17&#x2005;mmHg; 95&#x0025; CI, &#x2212;17 to &#x2212;5; <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001).</p>
</sec>
<sec id="s3b"><title>Blood components</title>
<p>After the first hour of perfusion, water evaporation in the closed circuit led to a gradual increase in hemoglobin levels (<xref ref-type="fig" rid="F4">Figure&#x00A0;4A</xref>) (S-CIT: 8&#x2009;&#x00B1;&#x2009;0.5&#x2013;9.2&#x2009;&#x00B1;&#x2009;0.5; L-CIT: 8.2&#x2009;&#x00B1;&#x2009;0.8&#x2013;9.3&#x2009;&#x00B1;&#x2009;1; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.49).</p>
<fig id="F4" position="float"><label>Figure 4</label>
<caption><p>Changes over time in blood components. <bold>(A)</bold> Hemoglobin, <bold>(B)</bold> Glycemia, <bold>(C)</bold> Lactate, <bold>(D)</bold> &#x02206;PaO<sub>2,</sub> <bold>(E)</bold> Lymphocyte, <bold>(F)</bold> Neutrophil, <bold>(G)</bold> Eosinophil, <bold>(H)</bold> Monocyte, <bold>(I)</bold> Basophil. Delta PaO<sub>2</sub> remained high and generally stable in both groups. This result is consistent with the low perfusion flow rates, which led to an abnormally long contact time between the blood and the alveolar-capillary membrane. The circulating neutrophil count dropped during the first two hours of perfusion, more markedly in the L-CIT group. The nadir coincided with the point at which pulmonary vascular resistance increased. Given the closed-circuit design, we conclude that neutrophils were sequestered in the lung parenchyma.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="frtra-04-1651671-g004.tif"><alt-text content-type="machine-generated">Nine line graphs depict changes over time in various blood parameters for L-CIT and S-CIT groups. Graphs show hemoglobin, glycemia, lactate, &#x0394;PaO2, lymphocyte, neutrophil, eosinophil, monocyte, and basophil levels. Both groups are compared over zero to six hours, with noted differences appearing in neutrophil levels (p=0.017). Error bars indicate standard deviation.</alt-text>
</graphic>
</fig>
<p>Rewarming resulted in the resumption of aerobic metabolism in the lungs. Thus, glycemia (<xref ref-type="fig" rid="F4">Figure&#x00A0;4B</xref>) decreased linearly (S-CIT: 22&#x2009;&#x00B1;&#x2009;3&#x2013;16&#x2009;&#x00B1;&#x2009;4&#x2005;mmol/L; L-CIT: 21&#x2009;&#x00B1;&#x2009;3&#x2013;16&#x2009;&#x00B1;&#x2009;4&#x2005;mmol/L; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.48). Lactate levels (<xref ref-type="fig" rid="F4">Figure&#x00A0;4C</xref>) increased steadily over six hours (S-CIT: 5.7&#x2009;&#x00B1;&#x2009;1&#x2013;14.4&#x2009;&#x00B1;&#x2009;5&#x2005;mmol/L; L-CIT: 5.4&#x2009;&#x00B1;&#x2009;0.8&#x2013;14.8&#x2009;&#x00B1;&#x2009;3.5&#x2005;mmol/L; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.51).</p>
<p>&#x0394;PaO&#x2082; (<xref ref-type="fig" rid="F4">Figure&#x00A0;4D</xref>), a marker of lung gas-exchange capacity, remained high in both groups throughout the procedure (S-CIT: 307&#x2009;&#x00B1;&#x2009;87&#x2013;410&#x2009;&#x00B1;&#x2009;52&#x2005;mmHg; L-CIT: 327&#x2009;&#x00B1;&#x2009;83&#x2013;450&#x2009;&#x00B1;&#x2009;61&#x2005;mmHg; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.189).</p>
<p>Blood leukocyte counts decreased gradually during EVLP. Lymphocyte counts (<xref ref-type="fig" rid="F4">Figure&#x00A0;4E</xref>) declined moderately over the 6&#x2005;h (S-CIT: 5,457&#x2009;&#x00B1;&#x2009;1,614&#x2013;3,066&#x2009;&#x00B1;&#x2009;1,526; L-CIT: 4,852&#x2009;&#x00B1;&#x2009;2,434&#x2013;3,062&#x2009;&#x00B1;&#x2009;1,002 cells/mm<sup>3</sup>; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.42). The most notable change was in neutrophil counts (<xref ref-type="fig" rid="F4">Figure&#x00A0;4F</xref>) (H0, H3, and H6: S-CIT, 4,559&#x2009;&#x00B1;&#x2009;1,111, 1,388&#x2009;&#x00B1;&#x2009;1,738, and 884&#x2009;&#x00B1;&#x2009;988 cells/mm<sup>3</sup>; L-CIT: 4,252&#x2009;&#x00B1;&#x2009;2,452, 699&#x2009;&#x00B1;&#x2009;549, and 434&#x2009;&#x00B1;&#x2009;283 cells/mm<sup>3</sup>). This decrease was significantly greater in the L-CIT group (estimated mean difference, &#x2212;744.02 cells/mm<sup>3</sup>; 95&#x0025; CI, &#x2212;1,343.11 to &#x2212;144.92; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.017).</p>
<p>Eosinophil counts (<xref ref-type="fig" rid="F4">Figure&#x00A0;4G</xref>) also decreased from H0 to H6 (S-CIT: 127&#x2009;&#x00B1;&#x2009;36&#x2013;38&#x2009;&#x00B1;&#x2009;56 cells/mm<sup>3</sup>; L-CIT: 92&#x2009;&#x00B1;&#x2009;32&#x2013;14&#x2009;&#x00B1;&#x2009;18 cells/mm<sup>3</sup>; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.32). Monocyte (<xref ref-type="fig" rid="F4">Figure&#x00A0;4H</xref>) counts showed little change throughout EVLP (S-CIT: 82&#x2009;&#x00B1;&#x2009;28&#x2013;67&#x2009;&#x00B1;&#x2009;20 cells/mm<sup>3</sup>; L-CIT: 77&#x2009;&#x00B1;&#x2009;31&#x2013;54&#x2009;&#x00B1;&#x2009;29 cells/mm<sup>3</sup>; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.18). Basophil counts (<xref ref-type="fig" rid="F4">Figure&#x00A0;4I</xref>) from H0 to H6 also remained fairly stable (S-CIT: 41&#x2009;&#x00B1;&#x2009;22&#x2013;46&#x2009;&#x00B1;&#x2009;26 cells/mm<sup>3</sup>; L-CIT: 51&#x2009;&#x00B1;&#x2009;26&#x2013;41&#x2009;&#x00B1;&#x2009;19 cells/mm<sup>3</sup>; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.32).</p>
</sec>
<sec id="s3c"><title>Blood cytokines</title>
<p>IL-6 levels (<xref ref-type="fig" rid="F5">Figure&#x00A0;5A</xref>) were similar at baseline between groups and increased significantly after the first two hours of perfusion in both groups (S-CIT: 0.53&#x2009;&#x00B1;&#x2009;0.15&#x2013;2.79&#x2009;&#x00B1;&#x2009;0.62&#x2005;pg/ml; L-CIT: 0.48&#x2009;&#x00B1;&#x2009;0.15&#x2013;3.39&#x2009;&#x00B1;&#x2009;0.86&#x2005;pg/ml). The increase was significantly greater in the L-CIT group (estimated mean difference, 1.1&#x2005;pg/ml; 95&#x0025; CI, 0.39&#x2013;1.8; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.003). IL-8 concentrations (<xref ref-type="fig" rid="F5">Figure&#x00A0;5B</xref>) increased more markedly than IL-6 (S-CIT: 0.11&#x2009;&#x00B1;&#x2009;0.16&#x2013;1.32&#x2009;&#x00B1;&#x2009;2.10&#x2005;pg/ml; L-CIT: 0.49&#x2009;&#x00B1;&#x2009;0.55&#x2013;30.62&#x2009;&#x00B1;&#x2009;20.04&#x2005;pg/ml; estimated mean difference, 29.31&#x2005;pg/ml; 95&#x0025; CI, 16.00&#x2013;42.61; <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001).</p>
<fig id="F5" position="float"><label>Figure 5</label>
<caption><p>Changes over time in cytokine levels. <bold>(A)</bold> Interleukine 6, <bold>(B)</bold> IL-8, <bold>(C)</bold> IL-2, <bold>(D)</bold> IL-4, <bold>(E)</bold> IL-18, <bold>(F)</bold> IL-10, <bold>(G)</bold> IL8/IL10 ratio, <bold>(H)</bold> TNF-&#x03B1;, <bold>(I)</bold> IL-12. The levels of the pro-inflammatory cytokines IL-6, IL-8, and IL-18 were higher during perfusion in the L-CIT group than in the S-CIT group. Also, the blood concentrations of interleukins IL-10, IL-2, and IL-4 were higher from the start of the perfusion in the L-CIT group, consistent with the longer cold-storage time of the blood in this group.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="frtra-04-1651671-g005.tif"><alt-text content-type="machine-generated">Graphs A to I display cytokine levels over time in pg/ml for L-CIT and S-CIT groups. Each graph shows varying trends and significance levels. Panel labels: (A) IL-6, (B) IL-8, (C) IL-2, (D) IL-4, (E) IL-18, (F) IL-10, (G) IL8/IL10 Ratio, (H) TNF-&#x03B1;, (I) IL-12. In general, the L-CIT group (blue line) tends to show higher levels over time compared to the S-CIT group (black line). Statistical significance is noted with p-values.</alt-text>
</graphic>
</fig>
<p>IL-2 (<xref ref-type="fig" rid="F5">Figure&#x00A0;5C</xref>) and IL-4 (<xref ref-type="fig" rid="F5">Figure&#x00A0;5D</xref>) levels were significantly higher from H0 to H6 in the L-CIT group (IL-2: 0.55&#x2009;&#x00B1;&#x2009;0.8 and 0.51&#x2009;&#x00B1;&#x2009;0.69&#x2005;pg/ml; IL-4: 1.16&#x2009;&#x00B1;&#x2009;1.8 and 1.09&#x2009;&#x00B1;&#x2009;1.61&#x2005;pg/ml) than in the S-CIT group (IL-2: 0.15&#x2009;&#x00B1;&#x2009;0.14 and 0.17&#x2009;&#x00B1;&#x2009;0.19&#x2005;pg/ml; IL-4: 0.21&#x2009;&#x00B1;&#x2009;0.22 and 0.25&#x2009;&#x00B1;&#x2009;0.3&#x2005;pg/ml). The estimated mean difference for IL-2 was 0.33&#x2005;pg/ml (95&#x0025; CI, 0.11&#x2013;0.55; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.004). Corresponding values for IL-4 were 0.78&#x2005;pg/ml (95&#x0025; CI, 0.3&#x2013;1.25; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.002). IL-18 concentrations (<xref ref-type="fig" rid="F5">Figure&#x00A0;5E</xref>) also increased more in the L-CIT group (from 1.16&#x2009;&#x00B1;&#x2009;1.36 to 3.32&#x2009;&#x00B1;&#x2009;1.00&#x2005;pg/ml) than in the S-CIT group (from 0.45&#x2009;&#x00B1;&#x2009;0.23 to 1.02&#x2009;&#x00B1;&#x2009;0.31&#x2005;pg/ml), with an estimated mean difference of 1.7&#x2005;pg/ml (95&#x0025; CI, 1.36&#x2013;2.05; <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001).</p>
<p>Levels of the anti-inflammatory cytokine IL-10 (<xref ref-type="fig" rid="F5">Figure&#x00A0;5F</xref>) were significantly higher in the L-CIT group, increasing from 0.9&#x2009;&#x00B1;&#x2009;1.42 to 2.08&#x2009;&#x00B1;&#x2009;1.1&#x2005;pg/ml vs. 0.18&#x2009;&#x00B1;&#x2009;0.17 to 0.85&#x2009;&#x00B1;&#x2009;0.49&#x2005;pg/ml in the S-CIT group (estimated mean difference, 0.79&#x2005;pg/ml; 95&#x0025; CI, 0.43&#x2013;1.15; <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001). Nonetheless, the IL-8/IL-10 ratio (<xref ref-type="fig" rid="F5">Figure&#x00A0;5G</xref>) indicated significantly worse inflammation in the L-CIT group at H6 (estimated mean difference, 15.95&#x2005;pg/ml; 95&#x0025; CI, 5.36&#x2013;26.53; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.005). TNF-&#x03B1; concentrations (<xref ref-type="fig" rid="F5">Figure&#x00A0;5H</xref>) followed a different pattern compared to other cytokines, increasing until H3 (to 0.76&#x2009;&#x00B1;&#x2009;0.97 and 1.41&#x2009;&#x00B1;&#x2009;1.18&#x2005;pg/ml in the S-CIT and L-CIT groups, respectively) then decreasing, with no significant between-group difference (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.083). IL-12 concentrations (<xref ref-type="fig" rid="F5">Figure&#x00A0;5I</xref>) were similar in both groups (at H0 and H6: S-CIT group, 0.37&#x2009;&#x00B1;&#x2009;0.06 and 0.52&#x2009;&#x00B1;&#x2009;0.1&#x2005;pg/ml; L-CIT group: 0.39&#x2009;&#x00B1;&#x2009;0.14 and 0.55&#x2009;&#x00B1;&#x2009;0.19&#x2005;pg/ml; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.42).</p>
</sec>
<sec id="s3d"><title>Histology</title>
<p><xref ref-type="fig" rid="F6">Figure&#x00A0;6</xref> shows the histological findings. At baseline, the lung parenchyma was normal in both groups. During EVLP, microvasculopathy developed gradually, with leukocyte adhesion to the endothelium initially then progressively worsening neutrophilic capillaritis. These lesions did not affect the large vessels. After 3&#x2005;h, tissue infiltrates, edema, and lymphatic-vessel dilation developed.</p>
<fig id="F6" position="float"><label>Figure 6</label>
<caption><p>Examples of lung histology findings. Light microscopy with hematoxylin-eosin-saffron staining and &#x00D7;1,000 magnification. <bold>(A)</bold> Normal lung parenchyma at H0 of <italic>ex-vivo</italic> lung perfusion. <bold>(B)</bold> Neutrophil adhesion (white arrow) to an endothelial cell (H3). <bold>(C)</bold> Neutrophilic capillaritis (H6). <bold>(D)</bold> Perivascular interstitial edema (arrowhead) and lymphangiectasia (white arrow) (H6). <bold>(E)</bold> Interstitial inflammatory infiltrate (black arrow) (H6). <bold>(F)</bold> The large vessels (pulmonary artery trunk) were normal, the endothelial damage being exclusively microvascular (H6).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="frtra-04-1651671-g006.tif"><alt-text content-type="machine-generated">Panel A shows normal lung tissue with clear alveolar spaces. Panel B highlights a cluster of cells with prominent staining. Panel C displays dense cellular infiltration in the alveolar space. Panel D shows thickening of alveolar walls. Panel E features abnormal cell presence within alveoli. Panel F presents a homogeneous tissue texture, likely indicating a different tissue type. Scale bars indicate 200 micrometers.</alt-text>
</graphic>
</fig>
<p>At H6 (<xref ref-type="fig" rid="F7">Figure&#x00A0;7</xref>), the most prevalent lesions in the S-CIT group were interseptal lymphangiectasia (mean score, 2.3&#x2009;&#x00B1;&#x2009;0.2), peribronchiolar infiltrates (1.8&#x2009;&#x00B1;&#x2009;0.2), and peribronchiolar lymphangiectasia (1.7&#x2009;&#x00B1;&#x2009;0.2). The most severe lesions in the L-CIT group were interseptal lymphangiectasia (2.5&#x2009;&#x00B1;&#x2009;0.2), septal edema (2.2&#x2009;&#x00B1;&#x2009;0.2), and vascular congestion (1.5&#x2009;&#x00B1;&#x2009;0.2). The total histological score was not significantly different between groups (S-CIT: 14&#x2009;&#x00B1;&#x2009;1.1; L-CIT: 14.3&#x2009;&#x00B1;&#x2009;0.; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.79). The wet/dry ratio was similarly elevated in both groups (S-CIT: 4.9&#x2009;&#x00B1;&#x2009;0.19; L-CIT: 5.4&#x2009;&#x00B1;&#x2009;0.22, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.13).</p>
<fig id="F7" position="float"><label>Figure 7</label>
<caption><p>Histology lesion scores in the two groups. The overall score was not significantly different between groups.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="frtra-04-1651671-g007.tif"><alt-text content-type="machine-generated">Bar graph showing histologic scoring of various lung conditions, comparing two groups: S-CIT (1 hour) in black and L-CIT (18 hours) in red. Conditions include subpleural edema, septal edema, and more. Scores range from zero to three, with L-CIT generally having higher scores, especially in vascular congestion. Error bars indicate variability.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><title>Discussion</title>
<p>Our main finding is that warm <italic>ex-vivo</italic> perfusion of a porcine lung with whole blood induced inflammatory edema, whose severity was modulated by the duration of cold ischemia. The consequences of the interaction between blood and lungs were adhesion of circulating neutrophils to the pulmonary endothelium, followed by neutrophil infiltration and sequestration in the parenchyma, resulting in microvasculopathy responsible for a PVR increase.</p>
<p>We used an 18&#x2005;h CIT to enhance the occurrence of IRI. Nevertheless, lesions were also present with a CIT of only 1&#x2005;h. The changes in physiological and laboratory variables occurred in similar directions in both groups but were more pronounced in the L-CIT group. Several factors may contribute to lesion development even after a short CIT. The static preservation of the blood used for perfusion may have induced neutrophil activation, consistent with the between-group difference in IL-2 and IL-4 levels at H0. Assays of neutrophil degranulation products such as neutrophilic extracellular traps and myeloperoxidase would be of interest. Nevertheless, the blood bags were of a type widely used for collecting human whole-blood donations and contained citrate phosphate dextrose adenine-1, which helps to maintain blood homeostasis, with few changes as storage time increases (<xref ref-type="bibr" rid="B5">5</xref>). Whole blood preserved in these bags can be safely transfused to humans with no prior processing (<xref ref-type="bibr" rid="B6">6</xref>). Therefore, the effect of the blood storage method on IRI was limited.</p>
<p>The histological damage noted at the end of EVLP was broadly similar in the two groups. To our knowledge, there is currently no gold standard histological scoring system for ischemia-reperfusion injuries. We initially intended to use a semi-quantitative score previously developed by our team (<xref ref-type="bibr" rid="B7">7</xref>), which assessed inflammatory infiltrates and tissue edema. However, that system was designed for a protocol without <italic>ex vivo</italic> perfusion. Following a review of preliminary samples from lungs perfused with whole blood, and based on the recommendations of our pathologists, we revised the scoring method to more accurately reflect key features of primary graft dysfunction and to better align with our experimental model. It would be valuable for other researchers to apply this revised score to validate its relevance and assess whether similar histological patterns&#x2014;namely, edema predominantly located in the interlobular septa and marked peribronchiolar inflammatory infiltrates at the end of perfusion&#x2014;are consistently observed.</p>
<p>Our results shows that a healthy lung, which was by definition perfused with whole blood and full cardiac output while <italic>in vivo</italic> in the donor, can no longer tolerate full cardiac output when artificially perfused <italic>ex vivo</italic>, even after a negligible ischemia period. The macroscopic-scale and hemodynamic study of the impact of IRI is original. With constant-pressure perfusion, the lung initially became progressively less resistant during 2&#x2013;3&#x2005;h. In a second phase, vascular resistance increased sharply, forcing us to reduce the perfusion flow to avoid an excessive rise in PAP. It would be interesting, in future studies, to understand precisely what occurs at the peak of perfusion and what mechanisms explain the shift, synchronous in both groups, from a progressively less resistant to a more resistant profile. One likely explanation is a saturation effect of the pulmonary vascular bed, as we observed severe obstructive capillaritis and septal swelling after 6&#x2005;h of perfusion, while it is known that endothelial dysfunction leads to increased filtration of fluid into the interstitium and plugging of capillaries by activated leukocyte (<xref ref-type="bibr" rid="B8">8</xref>). It would also be interesting to determine whether a potential treatment for ischemia-reperfusion could modify this hemodynamic profile, for instance, by increasing or rightshifting this perfusion peak during the procedure.</p>
<p>Lung ischemia-reperfusion injury has been reported in various conditions where pulmonary blood flow is impaired and restored, such as acute respiratory distress syndrome, cardiopulmonary bypass, pulmonary embolism thrombolysis, and transplantation. In all these scenarios, neutrophil activation and recruitment are considered central mechanisms of IRI (<xref ref-type="bibr" rid="B9">9</xref>). A key strength of our model is its ability to replicate this inflammatory response. Cells trafficking into sites of inflammation is driven by cytokines; however, secretion profiles varied depending on the molecule. Concentrations of IL-6, IL-8, and IL-18 progressively increased over time and were significantly higher in the L-CIT group. These findings correlate with De Perrot and al (<xref ref-type="bibr" rid="B10">10</xref>) who demonstrated that elevated blood IL-8 level two hours post-transplant is associated with a higher risk of PGD, and that IL-18 levels rise with longer ischemia times. IL-10 levels were also higher in the L-CIT group, despite its known anti-inflammatory properties (<xref ref-type="bibr" rid="B11">11</xref>). We interpret this as possible regulatory feedback loop between pro- and anti-inflammatory responses, particularly since the IL-8/IL-10 ratio remained elevated. Interestingly, TNF-&#x03B1; levels showed a similar transient increase in both groups. TNF-&#x03B1; has a key role in early inflammatory responses by upregulating other cytokines (<xref ref-type="bibr" rid="B12">12</xref>). Although monocytes are its primary source, TNF-&#x03B1; can also be secreted by lymphocytes, neutrophils, and endothelial cells (<xref ref-type="bibr" rid="B13">13</xref>). The subsequent decrease we observed may reflect a saturation effect in these activated cell lines. Moreover, the secretion of IL-6, IL-8, and IL-10 appeared to be uncoupled from that of TNF-&#x03B1; after three hours of perfusion. This may suggest autonomous regulation of these cytokines or the existence of alternative stimulation pathways independent of TNF-&#x03B1;. While we couldn&#x0027;t explore these mechanisms here, they may deserve dedicated future studies. Finally, IL-12 levels remained unchanged in both groups. This may be explained by the absence of alloreactivity in our model, as IL-12 is known to play a role in allospecific cytotoxic responses (<xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>Other models of IR lung injury have been reported. <italic>in vitro</italic> models typically involve exposing a cell line of interest to hypoxia followed by reoxygenation in a controlled culture medium (<xref ref-type="bibr" rid="B15">15</xref>). This technique is simple and cost-effective, allows for repeated experiments, and provides detailed information on cellular mechanisms. However, <italic>in vitro</italic> studies cannot replicate the complex physiological interactions among diverse cell types in a whole organ. Another model is the hilar clamping technique. The pulmonary hilum of the animal is exposed surgically and clamped to subject the lung to transient warm ischemia (<xref ref-type="bibr" rid="B16">16</xref>). After clamp release, the lung is perfused, allowing for analyses to be conducted directly in the parenchyma and in arterial and venous blood. This technique is simple and effective, but it does not include a cold ischemia phase for the lung. It is therefore less relevant for studying IRI in the context of transplantation. <italic>Ex vivo</italic> lung perfusion models have been described in pigs, rats, and even mice (<xref ref-type="bibr" rid="B17">17</xref>), primarily with the aim of preserving and optimizing lung grafts. For this purpose, hyperosmotic perfusates, either acellular, such as Steen Solution (<xref ref-type="bibr" rid="B18">18</xref>), or cellular, containing red blood cells (<xref ref-type="bibr" rid="B19">19</xref>), have been widely used combined with leukocyte depletion to protect the vascular endothelium and prevent edema. In contrast, our model was specifically designed to elicit a robust inflammatory response; therefore, we deliberately chose to use whole blood and excluded any leukocyte-depleting filters from the perfusion circuit. Compared to these previous models, ours may offer an interesting compromise between simplicity and versatility. The ability to analyze lungs over several hours by performing biopsies and blood assays, while controlling and modifying variables such as temperature, flow, pressure and ventilation parameters allows a vast array of experiments and is valuable for dynamic investigations of pure IR mechanisms. Among the potential sophistication of the model, one could consider perfusion with heterologous blood to analyze the allogeneic component, implantation of the lung after perfusion to assess functional outcomes, or the use of human lungs to improve the translatability of the results.</p>
<p>One limitation of our study is that, surprisingly in both groups, PaO<sub>2</sub> showed little change during EVLP. The most likely reason is the constant perfusion pressure, which required low perfusion flow rates. The resulting long contact time between the blood and the alveolar-capillary membrane may have resulted in artificially high PaO<sub>2</sub> values. To assess this hypothesis, we performed additional experiments involving an increase in the perfusion rate after 6&#x2005;h. The effects were substantial pulmonary edema, a drop in blood reservoir volume, and a collapse in gas exchange (data not shown). This model cannot be considered a full representation of primary graft dysfunction (PGD), as it lacks key diagnostic criteria essential for defining the syndrome&#x2014;namely, radiographic infiltrates and a decrease in the PaO&#x2082;/FiO&#x2082; ratio. Furthermore, the use of autologous blood omits a critical component of PGD pathophysiology: the recipient&#x0027;s allogeneic immune response. Finally, the use of <italic>ex-vivo</italic> lungs eliminates the systemic effects that occur with <italic>in vivo</italic> lungs. This model does not replicate the potential role in IR response of renal and hepatic clearance and of non-blood sources of immune cells such as the secondary lymphoid organs.</p>
</sec>
<sec id="s5" sec-type="conclusions"><title>Conclusion</title>
<p>In conclusion, the use of warm whole blood in pig <italic>ex vivo</italic> lung perfusion reproduces key features of ischemia-reperfusion injury. This approach allows for the observation of circulating cell recruitment, cytokine release, and lung tissue damage. The <italic>ex vivo</italic> perfusion setting also provides the flexibility to manipulate numerous parameters, enabling a wide range of experiments to dynamically assess pathophysiological changes in the lung. Although further validation is needed, this model could serve as a valuable platform for basic research into ischemia-reperfusion mechanisms and for the preclinical testing of novel therapeutic strategies.</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 animal study was approved by the French committee for animal research (APAFIS). The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec id="s8" sec-type="author-contributions"><title>Author contributions</title>
<p>J-BM: Data curation, Formal analysis, Investigation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. JM: Formal analysis, Writing &#x2013; original draft. JI: Writing &#x2013; review &#x0026; editing. M-RG: Data curation, Formal analysis, Writing &#x2013; original draft. JT: Data curation, Formal analysis, Writing &#x2013; original draft. BD: Project administration, Writing &#x2013; review &#x0026; editing. JG: Writing &#x2013; review &#x0026; editing. EF: Writing &#x2013; review &#x0026; editing. FA: Writing &#x2013; review &#x0026; editing. OM: Conceptualization, Data curation, Formal analysis, Funding acquisition, Resources, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information"><title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was funded by a Marc Laskar research grant from the French Society of Thoracic and Cardiovascular Surgery.</p>
</sec>
<ack><title>Acknowledgments</title>
<p>We thank the biostatistician St&#x00E9;phane Morisset who developed the statistical analysis plan and performed the statistical analyses. We thank Antoinette Wolfe for correcting the English manuscript.</p>
</ack>
<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.2025.1651671/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/frtra.2025.1651671/full&#x0023;supplementary-material</ext-link></p>
<supplementary-material id="SD1" content-type="local-data">
<media mimetype="application" mime-subtype="vnd.openxmlformats-officedocument.presentationml.presentation" xlink:href="Presentation1.pptx"/></supplementary-material>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr" id="ab001"><p>ARF, acute respiratory failure; CIT, cold ischemia time; FiO<sub>2</sub>, fraction of inspired oxygen; IR, ischemia-reperfusion; IRI, ischemia-reperfusion injuries; LAP, left atrial pressure; L-CIT group, group with a cold ischemia time of 18&#x2005;h; LTx, lung transplantation; PaO<sub>2</sub>, partial pressure of oxygen in arterial blood; PAP, pulmonary arterial pressure; PEEP, positive end-expiratory pressure; PGD, primary graft dysfunction; Pmean, mean ventilatory pressure; Ppeak, ventilatory peak pressure; PVR, pulmonary vascular resistance; S-CIT, group with a cold ischemia time of 1&#x2005;h.</p></fn>
</fn-group>
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