Prolonged dialysis during ex vivo lung perfusion
promotes inflammatory responses

Julien de Wolf, Carla Gouin, Luc Jouneau, Matthieu Glorion, Antoine Premachandra, Florentina Pascale, Maxime Huriet, Jérôme Estephan, Jean-Jacques Leplat, Giorgia Egidy, et al.

► To cite this version:

Julien de Wolf, Carla Gouin, Luc Jouneau, Matthieu Glorion, Antoine Premachandra, et al. Pro-
longed dialysis during ex vivo lung perfusion promotes inflammatory responses. Frontiers in Immunol-
ogy, 2024, 15, 10.3389/fimmu.2024.1365964 . hal-04551817

HAL Id: hal-04551817

https://hal.inrae.fr/hal-04551817

Submitted on 18 Apr 2024

HAL is a multi-disciplinary open access
archive for the deposit and dissemination of sci-
entific research documents, whether they are pub-
lished or not. The documents may come from
teaching and research institutions in France or
abroad, or from public or private research centers.

L'archive ouverte pluridisciplinaire HAL, est
destinée au dépôt et à la diffusion de documents
scientifiques de niveau recherche, publiés ou non,
émanant des établissements d'enseignement et de
recherche français ou étrangers, des laboratoires
publics ou privés.

<figure><img src="image_1.png" /></figure>

Distributed under a Creative Commons Attribution 4.0 International License
<figure><img src="image_1.png" /></figure>

Check for updates

OPEN ACCESS

EDITED BY
Ilker Iskender,
University Hospital Zürich, Switzerland

REVIEWED BY
Michelle Mendiola Pla,
Duke University, United States
Florian Ponholzer,
Medical University of Innsbruck, Austria

*CORRESPONDENCE
Isabelle Schwartz-Cornil
✉ isabelle.schwartz@inrae.fr
Edouard Sage
✉ e.sage@hopital-foch.com

RECEIVED 05 January 2024

ACCEPTED 04 March 2024

PUBLISHED 22 March 2024

CITATION

De Wolf J, Gouin C, Jouneau L, Glorion M, Premachandra A, Pascale F, Huriet M, Est Stephan J, Leplat J-J, Egidy G, Richard C, Gelin V, Urien C, Roux A, Le Guen M, Schwartz-Cornil I and Sage E (2024) Prolonged dialysis during ex vivo lung perfusion promotes inflammatory responses. *Front. Immunol.* 15:1365964.
doi: 10.3389/fimmu.2024.1365964

COPYRIGHT

© 2024 De Wolf, Gouin, Jouneau, Glorion, Premachandra, Pascale, Huriet, Est Stephan, Leplat, Egidy, Richard, Gelin, Urien, Roux, Le Guen, Schwartz-Cornil and Sage. This is an open-access article distributed under the terms of the [Creative Commons Attribution License (CC BY)](https://creativecommons.org/licenses/by/4.0/). 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.

# Prolonged dialysis during ex vivo lung perfusion promotes inflammatory responses

Julien De Wolf<sup>1,2†</sup>, Carla Gouin<sup>2†</sup>, Luc Jouneau<sup>2</sup>, Matthieu Glorion<sup>1,2</sup>, Antoine Premachandra<sup>2</sup>, Florentina Pascale<sup>1,2</sup>, Maxime Huriet<sup>2</sup>, Jérôme Estephan<sup>2</sup>, Jean-Jacques Leplat<sup>3</sup>, Georgia Egidy<sup>3</sup>, Christophe Richard<sup>4</sup>, Valérie Gelin<sup>4</sup>, Céline Urien<sup>2</sup>, Antoine Roux<sup>2,5</sup>, Morgan Le Guen<sup>2,6</sup>, Isabelle Schwartz-Cornil<sup>2*</sup> and Edouard Sage<sup>1,2*</sup>

Ex-vivo lung perfusion (EVLP) has extended the number of transplantable lungs by reconditioning marginal organs. However, EVLP is performed at 37°C without homeostatic regulation leading to metabolic wastes' accumulation in the perfusate and, as a corrective measure, the costly perfusate is repeatedly replaced during the standard of care procedure. As an interesting alternative, a hemodialyzer could be placed on the EVLP circuit, which was previously shown to rebalance the perfusate composition and to maintain lung function and viability without appearing to impact the global gene expression in the lung. Here, we assessed the biological effects of a hemodialyzer during EVLP by performing biochemical and refined functional genomic analyses over a 12h procedure in a pig model. We found that dialysis stabilized electrolytic and metabolic parameters of the perfusate but enhanced the gene expression and protein accumulation of several inflammatory cytokines and promoted a genomic profile predicting higher endothelial activation already at 6h and higher immune cytokine signaling at 12h. Therefore, epuration of EVLP with a dialyzer, while correcting features of the perfusate composition and maintaining the respiratory function, promotes inflammatory responses in the tissue. This finding suggests that modifying the metabolite composition of the perfusate by dialysis during EVLP can have detrimental effects on the tissue response and that this strategy should not be transferred as such to the clinic.

KEYWORDS

lung, transplantation, ex vivo, ischemia-reperfusion, dialysis, ex vivo lung perfusion, pig

**Abbreviations:** EVLP, ex-vivo lung perfusion; GS, Gold Standard; PD, Pediatric Dialysis; LDH, lactate deshydrogenase; DEGs, differentially expressed genes; FCs, fold changes; IPA, ingenuity pathways analysis.

<footnote>†These authors have contributed equally to this work</footnote>

<footnote n="1">¹Department of Thoracic Surgery and Lung Transplantation, Foch Hospital, Suresnes, France,</footnote>

<footnote n="2">²Université Paris-Saclay, INRAE, UVSQ, VIM, Jouy-en-Josas, France, ³Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, France, ⁴Université Paris-Saclay, UVSQ, INRAE, BREED, MIMA2, CIMA, Jouy-en-Josas, France, ⁵Department of Pulmonology, Foch Hospital, Suresnes, France,</footnote>

<footnote n="6">⁶Department of Anesthesiology, Foch Hospital, Suresnes, France</footnote>
<figure><img src="image_2.png" /></figure>

Check for updates

OPEN ACCESS

EDITED BY
Ilker Iskender,
University Hospital Zürich, Switzerland

REVIEWED BY
Michelle Mendiola Pla,
Duke University, United States
Florian Ponholzer,
Medical University of Innsbruck, Austria

*CORRESPONDENCE
Isabelle Schwartz-Cornil
✉ isabelle.schwartz@inrae.fr
Edouard Sage
✉ e.sage@hopital-foch.com

RECEIVED 05 January 2024

ACCEPTED 04 March 2024

PUBLISHED 22 March 2024

CITATION

De Wolf J, Gouin C, Jouneau L, Glorion M, Premachandra A, Pascale F, Huriet M, Est Stephan J, Leplat J-J, Egidy G, Richard C, Gelin V, Urien C, Roux A, Le Guen M, Schwartz-Cornil I and Sage E (2024) Prolonged dialysis during ex vivo lung perfusion promotes inflammatory responses. *Front. Immunol.* 15:1365964.
doi: 10.3389/fimmu.2024.1365964

COPYRIGHT

© 2024 De Wolf, Gouin, Jouneau, Glorion, Premachandra, Pascale, Huriet, Est Stephan, Leplat, Egidy, Richard, Gelin, Urien, Roux, Le Guen, Schwartz-Cornil and Sage. This is an open-access article distributed under the terms of the [Creative Commons Attribution License (CC BY)](https://creativecommons.org/licenses/by/4.0/). 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.

# Prolonged dialysis during ex vivo lung perfusion promotes inflammatory responses

Julien De Wolf<sup>1,2†</sup>, Carla Gouin<sup>2†</sup>, Luc Jouneau<sup>2</sup>, Matthieu Glorion<sup>1,2</sup>, Antoine Premachandra<sup>2</sup>, Florentina Pascale<sup>1,2</sup>, Maxime Huriet<sup>2</sup>, Jérôme Estephan<sup>2</sup>, Jean-Jacques Leplat<sup>3</sup>, Georgia Egidy<sup>3</sup>, Christophe Richard<sup>4</sup>, Valérie Gelin<sup>4</sup>, Céline Urien<sup>2</sup>, Antoine Roux<sup>2,5</sup>, Morgan Le Guen<sup>2,6</sup>, Isabelle Schwartz-Cornil<sup>2*</sup> and Edouard Sage<sup>1,2*</sup>

Ex-vivo lung perfusion (EVLP) has extended the number of transplantable lungs by reconditioning marginal organs. However, EVLP is performed at 37°C without homeostatic regulation leading to metabolic wastes' accumulation in the perfusate and, as a corrective measure, the costly perfusate is repeatedly replaced during the standard of care procedure. As an interesting alternative, a hemodialyzer could be placed on the EVLP circuit, which was previously shown to rebalance the perfusate composition and to maintain lung function and viability without appearing to impact the global gene expression in the lung. Here, we assessed the biological effects of a hemodialyzer during EVLP by performing biochemical and refined functional genomic analyses over a 12h procedure in a pig model. We found that dialysis stabilized electrolytic and metabolic parameters of the perfusate but enhanced the gene expression and protein accumulation of several inflammatory cytokines and promoted a genomic profile predicting higher endothelial activation already at 6h and higher immune cytokine signaling at 12h. Therefore, epuration of EVLP with a dialyzer, while correcting features of the perfusate composition and maintaining the respiratory function, promotes inflammatory responses in the tissue. This finding suggests that modifying the metabolite composition of the perfusate by dialysis during EVLP can have detrimental effects on the tissue response and that this strategy should not be transferred as such to the clinic.

KEYWORDS

lung, transplantation, ex vivo, ischemia-reperfusion, dialysis, ex vivo lung perfusion, pig

**Abbreviations:** EVLP, ex-vivo lung perfusion; GS, Gold Standard; PD, Pediatric Dialysis; LDH, lactate deshydrogenase; DEGs, differentially expressed genes; FCs, fold changes; IPA, ingenuity pathways analysis.

<footnote>†These authors have contributed equally to this work</footnote>

<footnote n="1"><sup>1</sup>Department of Thoracic Surgery and Lung Transplantation, Foch Hospital, Suresnes, France,</footnote>

<footnote n="2"><sup>2</sup>Université Paris-Saclay, INRAE, UVSQ, VIM, Jouy-en-Josas, France, <sup>3</sup>Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, France, <sup>4</sup>Université Paris-Saclay, UVSQ, INRAE, BREED, MIMA2, CIMA, Jouy-en-Josas, France, <sup>5</sup>Department of Pulmonology, Foch Hospital, Suresnes, France,</footnote>

<footnote n="6"><sup>6</sup>Department of Anesthesiology, Foch Hospital, Suresnes, France</footnote>
Introduction

*Ex-vivo* lung perfusion (EVLP) has been adopted by many lung transplantation centers around the world for reconditioning marginal donor lungs. EVLP consists in ventilating and perfusing donor lungs at normothermia with an adapted oxygenized perfusing fluid including or not erythrocytes. With this process, donor lungs that present mild dysfunction can be assessed and may recover the respiratory and circulatory properties required for transplantation (1). EVLP therefore led to increasing the number of lung transplantations by about 20% (2), with similar or even better outcomes than the ones using conventional cold storage (1).

However, EVLP presents limitations. Indeed, after several hours of procedure, EVLP is systematically associated with edema formation, which compromises gas exchange and leads to deterioration of the lung functions (3). In addition, many reports emphasize that EVLP induces inflammatory responses, which have been correlated with poor outcome post-transplantation (4-7). The inflammatory response is thought to be initiated by the ischemia-reperfusion response that inevitably occurs upon organ procurement and reperfusion in the EVLP system (8). The lack of oxygen at procurement leads to a decrease of adenosine triphosphate production by the mitochondria that drive cell acidosis and dysfunction of ionic pumps, altering cell viability. Upon reperfusion, the reintroduction of O2 causes huge electronic effluxes across the mitochondrial membrane, production of reactive oxygen species (ROS) causing oxidative damages and further cell death, and the liberation of inflammatory cytokines together with damage-associated molecular pattern (DAMP) molecules including HMGB and HSP70 that all accumulate during EVLP (6, 9-11). These DAMPs may further amplify inflammation, possibly through the TLR4-MyD88-NFKB signaling pathway (12-15). Furthermore, the lung is maintained metabolically active during EVLP and accumulates metabolic wastes in the absence of detoxification by liver and kidney. Therefore, the pH decreases and some electrolytes accumulate, with negative effects on cell viability (16). Furthermore, metabolomic analyses of EVLP revealed the accumulation of by-products in the perfusion liquid of EVLP, such as lactate and pyruvate, amino acids, polyunsaturated lipids, eicosanoids, and RNA breakdowns (17, 18). These by-products can have by themselves cytokine-like and pro-inflammatory functions (19), thus possibly reinforcing the inflammatory response induced by ischemia reperfusion. For mitigating these imperfect metabolic conditions and reducing the accumulation of inflammatory molecules, the costly perfusate fluid is regularly replaced, which impacts on the economical aspect of the procedure. Importantly, while EVLP is approved to support lung for 6h in the clinical practice (20), longer durations are also desired to facilitate the operating room logistics and to optimally prepare the lung with advanced therapeutic interventions (cell or gene therapy, immunomodulation).

In order to find a solution to improve and prolong EVLP as well as to decrease its cost, dialyzers were added to EVLP machines and experimentally tested on human lungs (21) and pig (22, 23). Overall satisfying conclusions were published, with maintenance of the perfusate composition, and possibly improved cell viability (21-23). In a recent work, we also reported that the transcriptomic changes

induced by acellular EVLP in a pig model (Toronto protocol) appeared similar during a 6h procedure when comparing different perfusate management techniques, that is, no perfusate modification, repeated replacement, and adult and pediatric dialysis (23). Altogether, while addition of a dialyzer on the EVLP circuit appears feasible, more biological knowledge on the dialysis effect is needed to better capture the possible risks and benefits before transfer to the clinic. In this study, we assessed the effect of dialysis during a 12h procedure and performed extended biostatistical and predictive functional genomics analyses in the lung graft. Compared with perfusate replacement, we found that dialysis, while maintaining the lung function and correcting parameters of the perfusate electrolytic and metabolic composition during 12h, induced a higher accumulation of inflammatory cytokines in the perfusate as well as a genomic profile predicting increased permeability of vasculature and enhanced cytokine signaling.

Material and methods

Ethics

The pig experiments were performed in accordance with the EU guidelines and the French regulations (DIRECTIVE 2010/63/EU, 2010; Code rural, 2018; Décret n°2013-118, 2013). The procedures were approved by the Ministry of Higher Education and Research and the experiments were approved by the COMETHEA ethic committee under the APAFIS authorization number APAFIS#14942-2018020720215374 v4. The surgery was conducted at the Medical Imaging in Animal platform (accreditation B78-322-2) and the animals were hosted at the Animal Genetics and Integrative Biology unit at INRAE-Jouy (accreditation C78-719).

Animals and lung extraction procedures

Nine pigs (Large-White, 50 ± 5 kg) provided the lungs that were harvested using a non-heart-beating donor model with a 10-min no touch, as described in details by us before (23).

EVLP and dialysis procedures

After subjecting the lungs to 1h of cold ischemia, a 12h EVLP procedure was conducted according to the Toronto protocol (24). The circuit was infused with 1.5 L of Steen® solution supplemented with 1 g methylprednisolone, 1.5 g cefuroxime, and 15000 UI heparin. A flow rate equivalent to 40% of the theoretical cardiac output was applied at 34°C. The pig lungs were divided into two EVLP groups, one named Gold Standard (GS, five pigs) in which 500 ml Steen® solution was replaced every 2h, and the other named Pediatric Dialysis (PD, four pigs) in which a Continuous Venous Hemodialysis mode applied on the circuit as detailed in (23). The overall EVLP with dialyzer circuit is presented in Additional file 1. The dialysis bath, based on Phoxilium® (Baxter,
# Introduction

Ex-vivo lung perfusion (EVLP) has been adopted by many lung transplantation centers around the world for reconditioning marginal donor lungs. EVLP consists in ventilating and perfusing donor lungs at normothermia with an adapted oxygenized perfusing fluid including or not erythrocytes. With this process, donor lungs that present mild dysfunction can be assessed and may recover the respiratory and circulatory properties required for transplantation (1). EVLP therefore led to increasing the number of lung transplantations by about 20% (2), with similar or even better outcomes than the ones using conventional cold storage (1).

However, EVLP presents limitations. Indeed, after several hours of procedure, EVLP is systematically associated with edema formation, which compromises gas exchange and leads to deterioration of the lung functions (3). In addition, many reports emphasize that EVLP induces inflammatory responses, which have been correlated with poor outcome post-transplantation (4-7). The inflammatory response is thought to be initiated by the ischemia-reperfusion response that inevitably occurs upon organ procurement and reperfusion in the EVLP system (8). The lack of oxygen at procurement leads to a decrease of adenosine triphosphate production by the mitochondria that drive cell acidosis and dysfunction of ionic pumps, altering cell viability. Upon reperfusion, the reintroduction of O2 causes huge electronic effluxes across the mitochondrial membrane, production of reactive oxygen species (ROS) causing oxidative damages and further cell death, and the liberation of inflammatory cytokines together with damage-associated molecular pattern (DAMP) molecules including HMGB and HSP70 that all accumulate during EVLP (6, 9-11). These DAMPs may further amplify inflammation, possibly through the TLR4-MyD88-NFKB signaling pathway (12-15). Furthermore, the lung is maintained metabolically active during EVLP and accumulates metabolic wastes in the absence of detoxification by liver and kidney. Therefore, the pH decreases and some electrolytes accumulate, with negative effects on cell viability (16). Furthermore, metabolomic analyses of EVLP revealed the accumulation of by-products in the perfusion liquid of EVLP, such as lactate and pyruvate, amino acids, polyunsaturated lipids, eicosanoids, and RNA breakdowns (17, 18). These by-products can have by themselves cytokine-like and pro-inflammatory functions (19), thus possibly reinforcing the inflammatory response induced by ischemia reperfusion. For mitigating these imperfect metabolic conditions and reducing the accumulation of inflammatory molecules, the costly perfusate fluid is regularly replaced, which impacts on the economical aspect of the procedure. Importantly, while EVLP is approved to support lung for 6h in the clinical practice (20), longer durations are also desired to facilitate the operating room logistics and to optimally prepare the lung with advanced therapeutic interventions (cell or gene therapy, immunomodulation).

In order to find a solution to improve and prolong EVLP as well as to decrease its cost, dialyzers were added to EVLP machines and experimentally tested on human lungs (21) and pig (22, 23). Overall satisfying conclusions were published, with maintenance of the perfusate composition, and possibly improved cell viability (21-23). In a recent work, we also reported that the transcriptomic changes

induced by acellular EVLP in a pig model (Toronto protocol) appeared similar during a 6h procedure when comparing different perfusate management techniques, that is, no perfusate modification, repeated replacement, and adult and pediatric dialysis (23). Altogether, while addition of a dialyzer on the EVLP circuit appears feasible, more biological knowledge on the dialysis effect is needed to better capture the possible risks and benefits before transfer to the clinic. In this study, we assessed the effect of dialysis during a 12h procedure and performed extended biostatistical and predictive functional genomics analyses in the lung graft. Compared with perfusate replacement, we found that dialysis, while maintaining the lung function and correcting parameters of the perfusate electrolytic and metabolic composition during 12h, induced a higher accumulation of inflammatory cytokines in the perfusate as well as a genomic profile predicting increased permeability of vasculature and enhanced cytokine signaling.

# Material and methods

## Ethics

The pig experiments were performed in accordance with the EU guidelines and the French regulations (DIRECTIVE 2010/63/EU, 2010; Code rural, 2018; Décret n°2013-118, 2013). The procedures were approved by the Ministry of Higher Education and Research and the experiments were approved by the COMETHEA ethic committee under the APAFIS authorization number APAFIS#14942-2018020720215374 v4. The surgery was conducted at the Medical Imaging in Animal platform (accreditation B78-322-2) and the animals were hosted at the Animal Genetics and Integrative Biology unit at INRAE-Jouy (accreditation C78-719).

## Animals and lung extraction procedures

Nine pigs (Large-White, 50 ± 5 kg) provided the lungs that were harvested using a non-heart-beating donor model with a 10-min no touch, as described in details by us before (23).

## EVLP and dialysis procedures

After subjecting the lungs to 1h of cold ischemia, a 12h EVLP procedure was conducted according to the Toronto protocol (24). The circuit was infused with 1.5 L of Steen® solution supplemented with 1 g methylprednisolone, 1.5 g cefuroxime, and 15000 UI heparin. A flow rate equivalent to 40% of the theoretical cardiac output was applied at 34°C. The pig lungs were divided into two EVLP groups, one named Gold Standard (GS, five pigs) in which 500 ml Steen® solution was replaced every 2h, and the other named Pediatric Dialysis (PD, four pigs) in which a Continuous Venous Hemodialysis mode applied on the circuit as detailed in (23). The overall EVLP with dialyzer circuit is presented in Additional file 1. The dialysis bath, based on Phoxilium® (Baxter,
Deerfiled, IL, USA), was adjusted with suitable electrolytes. An AVpaed pediatric membrane (Fresenius, Bad Homburg vor der Höhe, Germany) featuring an effective surface area of 0.2 m² and a cutoff of 30 kDa was utilized at a flow rate of 50 ml/min. Substances below 30 kDa can be eliminated with this membrane, while essential plasma proteins such as albumin constituents are retained. This pediatric membrane with a low surface area and used in an exclusive diffusive mode was chosen to minimally interfere on the filtration process. In a previous study with a so-called adult dialysis process, we used an Emic 2 membrane (Fresenius) with an effective surface area of 1.8 m² and a cutoff at 40 kDa, and we applied a flow rate of 800 mL/h and 80 mL/min (23). The cutoff of the pediatric membrane is better adapted to the EVLP conditions, avoiding the depletion of albumin and dextran from the Steen fluid.

The PD group included the same lungs as the ones utilized in (23) for the 6h time point. The GS group is totally distinct (see the Discussion section).

## EVLP monitoring, sample collections, and biological dosages

Throughout the EVLP process, pulmonary artery pressure, graft weight, temperature, ventilation peak pressure, ventilation plateau pressure, and compliance were systematically documented every hour. Perfusates were collected at hourly intervals and frozen at -80°C for lactate deshydrogenase (LDH) and cytokine detection. Blood gases, electrolytes, and proteins were detected on fresh perfusates. The LDH was measured with the CytoTox 96 Non-Radio Cytotoxicity Assay (Promega, Madison, WI, USA). Cytokine concentrations were assessed with a porcine cytokine magnetic bead panel kit, the Milliplex-MAP-Kit (PCYTMAG-23K-07, Millipore, Billerica, MA, USA), for the detection of TNFα, IL-8, IL-6, IL-10, IL-1a, IL-1β, and IL-1RA. The C5a complement was measured in the perfusates using Pig Complement C5a (C5a) ELISA Kit (Abbexa, Cambridge, UK). Lung biopsies were collected right after the cold ischemia period (0h), at 6h and 12h and either frozen in liquid nitrogen and kept at -70°C or stored in RNAlater (Thermo Fisher Scientific, Waltham, MA, USA) at -20°C.

## RNA extraction, quality check, and deep sequencing

Frozen lung biopsies were embedded in Tissue-Tek O.C.T. Compound (Sakura-Finetek France SAS, Villeneuve d'Ascq, France), cut in slices (five slices, 60-µm thick) from which total RNA was extracted using the Arcturus PicoPure RNA Isolation Kit (Arcturus Technologies Inc, Leesburg, USA). Alternatively, biopsies in RNAlater were placed in Trizol, homogenized with 1.4 mm ceramic beads in a Precellys 24 bead grinder homogenizer (Bertin Technologies, St Quentin en Yvelines, France), and purified using the NucleoSpin RNA kit that includes a DNase digestion step (Macherey-Nagel, Düren, Germany). RNA was checked for quality with an Agilent 2100 Bioanalyzer using RNA 6000 Nano Kits (Agilent Technologies, Santa Clara, CA, USA). Directional RNA-

seq libraries were constructed from 500 ng of total RNA using the TruSeq mRNA Stranded library prep kit (Illumina, San Diego, USA), following the manufacturer's instructions. The quality of the libraries was assessed with an Agilent Bioanalyzer 2100, using an Agilent High Sensitivity DNA Kit. Libraries were pooled in equimolar proportions and sequenced in paired-end runs (50 nt forward-34 nt reverse) on an Illumina NextSeq500 instrument, using NextSeq 500 Mid Output kit v2. Demultiplexing has been done with bcl2fastq2 V2.2.18.12. Adapters were trimmed with Cutadapt1.15. Reads above 10 pb were kept.

## Bioinformatic analyses

The Illumina sequencing produced from 25 to 95 million reads per sample. Sequences were aligned with tophat2 (v2.0.14; options: -N 2 -read-edit-dist 2 -b2-sensitive -no-coverage-search) on the porcine transcriptome (reference Ensembl Release 101, Sscrofa11.1). Gene counts were processed using RLOG function of DESeq2 package (v1.18.1). In order to study the functional signatures of the gene expression changes between timing (12h vs. 0h and 6h vs. 0h) in the GS and PD groups (i.e. four conditions), we performed a differential expression analysis using the DESeq2 R package (v1.18.1) for paired data sets. Notably, for the GS group, the differential expression of the genes versus 0h (before EVLP initiation) was calculated differently in our previous study (23): in that study, the differential expression was calculated relatively to ten unpaired lung tissues at 0h whereas, here, the differential expression was calculated relatively to the same paired lung tissue at 0h. The differential expression analysis included an independent hypothesis weighting batch correction and a Benjamini-Hochberg correction for multiple testing. The differentially expressed genes (DEGs) were selected based on an adjusted *p*-value below 0.05 and an absolute fold change mean value superior or equal to 2 (Additional file 2). The four DEG lists were used as input into functional enrichment analysis using the Hallmark gene set collection of the MSigDB and the Reactome gene set collection. The functional enrichments were selected based on a −Log₁₀ adjusted *p*-value superior to 3 and on over three contributing genes in at least one of the four conditions. As the analysis using Reactome gave redundant results with Hallmark, we selected the Hallmark results. In addition, the four DEG lists were submitted to an ingenuity pathway analysis (IPA, www.ingenuity.com, QIAGEN Silicon Valley, Redwood City, CA, edition 2019). The pre-analysis filtering on tissues and cell lines included endothelial cells, epithelial cells, fibroblasts, immune cells, and lung. The association likelihood of the DEG sets with a given pathway/function is given by *p*-values calculated with the right-tailed Fisher's exact test, and the prediction of their activation or inhibition is given by *z*-scores ( > 2 or < −2, respectively). The *z*-scores are calculated with an algorithm that integrates (i) the expression orientation of the genes in the data set that contribute to the pathway/function and (ii) the knowledge on these genes expression from experimental data published in peer-reviewed journals. The biologically relevant functions and pathways presenting at least an absolute *z*-score value > 2 and −Log₁₀ *p*-value > 1.3 with over three contributing genes in one of the four
Deerfiled, IL, USA), was adjusted with suitable electrolytes. An AVpaed pediatric membrane (Fresenius, Bad Homburg vor der Höhe, Germany) featuring an effective surface area of 0.2 m² and a cutoff of 30 kDa was utilized at a flow rate of 50 ml/min. Substances below 30 kDa can be eliminated with this membrane, while essential plasma proteins such as albumin constituents are retained. This pediatric membrane with a low surface area and used in an exclusive diffusive mode was chosen to minimally interfere on the filtration process. In a previous study with a so-called adult dialysis process, we used an Emic 2 membrane (Fresenius) with an effective surface area of 1.8 m² and a cutoff at 40 kDa, and we applied a flow rate of 800 mL/h and 80 mL/min (23). The cutoff of the pediatric membrane is better adapted to the EVLP conditions, avoiding the depletion of albumin and dextran from the Steen fluid.

The PD group included the same lungs as the ones utilized in (23) for the 6h time point. The GS group is totally distinct (see the Discussion section).

## EVLP monitoring, sample collections, and biological dosages

Throughout the EVLP process, pulmonary artery pressure, graft weight, temperature, ventilation peak pressure, ventilation plateau pressure, and compliance were systematically documented every hour. Perfusates were collected at hourly intervals and frozen at -80°C for lactate deshydrogenase (LDH) and cytokine detection. Blood gases, electrolytes, and proteins were detected on fresh perfusates. The LDH was measured with the CytoTox 96 Non-Radio Cytotoxicity Assay (Promega, Madison, WI, USA). Cytokine concentrations were assessed with a porcine cytokine magnetic bead panel kit, the Milliplex-MAP-Kit (PCYTMAG-23K-07, Millipore, Billerica, MA, USA), for the detection of TNFα, IL-8, IL-6, IL-10, IL-1a, IL-1β, and IL-1RA. The C5a complement was measured in the perfusates using Pig Complement C5a (C5a) ELISA Kit (Abbexa, Cambridge, UK). Lung biopsies were collected right after the cold ischemia period (0h), at 6h and 12h and either frozen in liquid nitrogen and kept at -70°C or stored in RNAlater (Thermo Fisher Scientific, Waltham, MA, USA) at -20°C.

## RNA extraction, quality check, and deep sequencing

Frozen lung biopsies were embedded in Tissue-Tek O.C.T. Compound (Sakura-Finetek France SAS, Villeneuve d'Ascq, France), cut in slices (five slices, 60-µm thick) from which total RNA was extracted using the Arcturus PicoPure RNA Isolation Kit (Arcturus Technologies Inc, Leesburg, USA). Alternatively, biopsies in RNAlater were placed in Trizol, homogenized with 1.4 mm ceramic beads in a Precellys 24 bead grinder homogenizer (Bertin Technologies, St Quentin en Yvelines, France), and purified using the NucleoSpin RNA kit that includes a DNase digestion step (Macherey-Nagel, Düren, Germany). RNA was checked for quality with an Agilent 2100 Bioanalyzer using RNA 6000 Nano Kits (Agilent Technologies, Santa Clara, CA, USA). Directional RNA-

seq libraries were constructed from 500 ng of total RNA using the TruSeq mRNA Stranded library prep kit (Illumina, San Diego, USA), following the manufacturer's instructions. The quality of the libraries was assessed with an Agilent Bioanalyzer 2100, using an Agilent High Sensitivity DNA Kit. Libraries were pooled in equimolar proportions and sequenced in paired-end runs (50 nt forward-34 nt reverse) on an Illumina NextSeq500 instrument, using NextSeq 500 Mid Output kit v2. Demultiplexing has been done with bcl2fastq2 V2.2.18.12. Adapters were trimmed with Cutadapt1.15. Reads above 10 pb were kept.

## Bioinformatic analyses

The Illumina sequencing produced from 25 to 95 million reads per sample. Sequences were aligned with tophat2 (v2.0.14; options: -N 2 -read-edit-dist 2 -b2-sensitive -no-coverage-search) on the porcine transcriptome (reference Ensembl Release 101, Sscrofa11.1). Gene counts were processed using RLOG function of DESeq2 package (v1.18.1). In order to study the functional signatures of the gene expression changes between timing (12h vs. 0h and 6h vs. 0h) in the GS and PD groups (i.e. four conditions), we performed a differential expression analysis using the DESeq2 R package (v1.18.1) for paired data sets. Notably, for the GS group, the differential expression of the genes versus 0h (before EVLP initiation) was calculated differently in our previous study (23): in that study, the differential expression was calculated relatively to ten unpaired lung tissues at 0h whereas, here, the differential expression was calculated relatively to the same paired lung tissue at 0h. The differential expression analysis included an independent hypothesis weighting batch correction and a Benjamini-Hochberg correction for multiple testing. The differentially expressed genes (DEGs) were selected based on an adjusted *p*-value below 0.05 and an absolute fold change mean value superior or equal to 2 (Additional file 2). The four DEG lists were used as input into functional enrichment analysis using the Hallmark gene set collection of the MSigDB and the Reactome gene set collection. The functional enrichments were selected based on a −Log₁₀ adjusted *p*-value superior to 3 and on over three contributing genes in at least one of the four conditions. As the analysis using Reactome gave redundant results with Hallmark, we selected the Hallmark results. In addition, the four DEG lists were submitted to an ingenuity pathway analysis (IPA, www.ingenuity.com, QIAGEN Silicon Valley, Redwood City, CA, edition 2019). The pre-analysis filtering on tissues and cell lines included endothelial cells, epithelial cells, fibroblasts, immune cells, and lung. The association likelihood of the DEG sets with a given pathway/function is given by *p*-values calculated with the right-tailed Fisher's exact test, and the prediction of their activation or inhibition is given by *z*-scores ( > 2 or < −2, respectively). The *z*-scores are calculated with an algorithm that integrates (i) the expression orientation of the genes in the data set that contribute to the pathway/function and (ii) the knowledge on these genes expression from experimental data published in peer-reviewed journals. The biologically relevant functions and pathways presenting at least an absolute *z*-score value > 2 and −Log₁₀ *p*-value > 1.3 with over three contributing genes in one of the four
conditions were selected. We also proceeded to a differential expression analysis between 12h versus 6h in the GS and PD groups (Additional file 2) and we performed an enrichment analysis using the Hallmark, Reactome, and IPA gene set collections as described above.

Finally, we performed a comparative analysis of the gene expression fold changes (FCs) at 6h (6h vs. 0h) and at 12h (12h vs. 0h) between the GS and PD groups using an unpaired and non-parametric Wilcoxon test, as the FC data did not pass a normality test. The comparison gene list was obtained from the FC comparison generating adjusted *p*-values below 0.05 with the Wilcoxon test (Additional file 3), and it was submitted to functional enrichment analyses using the Hallmark, the Reactome gene set collections, and IPA. The functional enrichments with $-\text{Log}_{10} \text{p-value} > 3$ and over three contributing genes were selected. As Hallmark results showed overlaps with Reactome and IPA results, only Reactome and IPA results were selected.

## Statistical analyses

The physiological, electrolytic, metabolic, C5a, and cytokine data were analyzed with the R Studio (v2023.03.1 + 446). A Shapiro test was used to evaluate the normality of the data distribution in each group and timing. The cytokine data were log₁₀-transformed. When the data did not pass the normality test, a non-parametric Mann-Whitney test was used to compare the data between two groups. Alternatively, an unpaired *t*-test was used upon equal variance evaluation. The statistical methods of the bioinformatic analyses are reported in the dedicated paragraph.

## Results

### Pediatric Dialysis corrects and stabilizes electrolytic and metabolic parameters during 12h EVLP

Based on the results of our initial study that showed no significant effect on the lung function and gene expression profiles of different perfusate managements over 6h EVLP (23), we aimed at evaluating the effect of dialysis over a longer duration, that is, 12h. In that first study, we tested two methods of dialysis, referred to as adult or pediatric, that differed by the type of dialysis membrane and the applied flow rates. After 6h procedure, the Adult Dialysis EVLP (40 kDa cutoff membrane) led to important edema accumulation in the organ, possibly due to loss of components of the Steen perfusate through the adult dialysis membrane and was therefore abandoned. Conversely, the weight gains at the end of the procedure, which can be used as proxy to estimate edema, were similar in the PD (30 kDa cutoff membrane) and in the GS procedures (222 ± 107 gr for PD and 186 ± 106 gr for GS, mean ± sd); therefore, the effects of these two procedures were compared in further analyses. The compliance and gas exchanges showed no differences between the PD and GS groups (Figure 1A). The pulmonary artery pressure was significantly higher in the PD

group at several time points (Figure 1A, *p* < 0.05). The Na²⁺ and Cl⁻ ionic concentrations remained low in the PD group and increased in the GS group, and conversely the Ca²⁺ levels increased in the PD group more than in the GS group (Figure 1B, *p* < 0.01). The glucose and lactate levels remained stable in the PD group while the glucose steadily decreased and the lactate increased overtime in the GS group, indicating a better control of the glucose metabolism in the PD group (Figure 1C, *p* < 0.01 for lactate and glucose). The LDH levels did not differ between the two groups over 12h, supporting that PD did not increase cell death in the lung (Figure 1C). Overall, the improvement of composition of the perfusate induced by the PD process that we observed at 6h was also confirmed at 12h, with maintenance of respiratory functions.

### Pediatric Dialysis enhances the concentration of several inflammatory cytokines in the perfusate and enhances the expression of cytokine genes in the lung tissue

We measured inflammatory cytokine levels in the perfusate, and we observed that cytokine levels tended to be higher in the PD group (Figure 2A); this is notably the case for interleukin-6 (IL-6) at 10h (*p* = 0.06) and 12h (*p* = 0.08), IL-8 at 6h (*p* < 0.01), IL-1β at 6h (*p* = 0.05), at 10h (*p* = 0.08) and at 12h (*p* < 0.05), and IL-10 at all timing from 6h (*p* < 0.01). Higher levels of IL-6 and IL-10 at 6h were also found in the PD group in our first study (23). No cytokine could be detected in the dialysis bath. In order to determine whether this finding could be related to increased gene expression in the tissue, we proceeded to RNA-seq analysis of the lung tissue at 0h, 6h, and 12h and compared the fold changes (FC, 6h vs. 0h and 12h vs. 0h) of the different cytokine mRNA counts between the PD and GS groups (Figure 2B). We observed higher levels of upregulated transcripts in the PD group for IL-6 at 12h, IL-1B at 6h and 12h, and tumor necrosis factor-α (TNFA) at 6h. No significant difference of transcript levels was found between the two groups in the case of the IL-10 gene.

Altogether, the EVLP with PD increased the expression of several cytokine genes in the lung tissue and led to higher levels of several cytokine proteins in the perfusate, despite the process of dialysis through a 30 kDa membrane.

### Pediatric Dialysis and Gold Standard both activate gene expression pathways related to inflammatory responses and activation of antigen-presenting cells

In order to examine the overall modulation of gene expression induced by EVLP in the GS and PD conditions, the DEG lists between 6h versus 0h and 12h versus 0h generated from the global RNA-seq results were submitted to a functional enrichment analysis (see the Material and methods section, Additional files 2, 4, Figure 3A). The enrichment analysis using the Hallmark data base showed that the TNF-α signaling via NFkB and the Inflammatory response were the top-enriched pathways (adjusted
conditions were selected. We also proceeded to a differential expression analysis between 12h versus 6h in the GS and PD groups (Additional file 2) and we performed an enrichment analysis using the Hallmark, Reactome, and IPA gene set collections as described above.

Finally, we performed a comparative analysis of the gene expression fold changes (FCs) at 6h (6h vs. 0h) and at 12h (12h vs. 0h) between the GS and PD groups using an unpaired and non-parametric Wilcoxon test, as the FC data did not pass a normality test. The comparison gene list was obtained from the FC comparison generating adjusted *p*-values below 0.05 with the Wilcoxon test (Additional file 3), and it was submitted to functional enrichment analyses using the Hallmark, the Reactome gene set collections, and IPA. The functional enrichments with $-\text{Log}_{10} \text{p-value} > 3$ and over three contributing genes were selected. As Hallmark results showed overlaps with Reactome and IPA results, only Reactome and IPA results were selected.

## Statistical analyses

The physiological, electrolytic, metabolic, C5a, and cytokine data were analyzed with the R Studio (v2023.03.1 + 446). A Shapiro test was used to evaluate the normality of the data distribution in each group and timing. The cytokine data were log₁₀-transformed. When the data did not pass the normality test, a non-parametric Mann-Whitney test was used to compare the data between two groups. Alternatively, an unpaired *t*-test was used upon equal variance evaluation. The statistical methods of the bioinformatic analyses are reported in the dedicated paragraph.

## Results

### Pediatric Dialysis corrects and stabilizes electrolytic and metabolic parameters during 12h EVLP

Based on the results of our initial study that showed no significant effect on the lung function and gene expression profiles of different perfusate managements over 6h EVLP (23), we aimed at evaluating the effect of dialysis over a longer duration, that is, 12h. In that first study, we tested two methods of dialysis, referred to as adult or pediatric, that differed by the type of dialysis membrane and the applied flow rates. After 6h procedure, the Adult Dialysis EVLP (40 kDa cutoff membrane) led to important edema accumulation in the organ, possibly due to loss of components of the Steen perfusate through the adult dialysis membrane and was therefore abandoned. Conversely, the weight gains at the end of the procedure, which can be used as proxy to estimate edema, were similar in the PD (30 kDa cutoff membrane) and in the GS procedures (222 ± 107 gr for PD and 186 ± 106 gr for GS, mean ± sd); therefore, the effects of these two procedures were compared in further analyses. The compliance and gas exchanges showed no differences between the PD and GS groups (Figure 1A). The pulmonary artery pressure was significantly higher in the PD

group at several time points (Figure 1A, *p* < 0.05). The Na²⁺ and Cl⁻ ionic concentrations remained low in the PD group and increased in the GS group, and conversely the Ca²⁺ levels increased in the PD group more than in the GS group (Figure 1B, *p* < 0.01). The glucose and lactate levels remained stable in the PD group while the glucose steadily decreased and the lactate increased overtime in the GS group, indicating a better control of the glucose metabolism in the PD group (Figure 1C, *p* < 0.01 for lactate and glucose). The LDH levels did not differ between the two groups over 12h, supporting that PD did not increase cell death in the lung (Figure 1C). Overall, the improvement of composition of the perfusate induced by the PD process that we observed at 6h was also confirmed at 12h, with maintenance of respiratory functions.

### Pediatric Dialysis enhances the concentration of several inflammatory cytokines in the perfusate and enhances the expression of cytokine genes in the lung tissue

We measured inflammatory cytokine levels in the perfusate, and we observed that cytokine levels tended to be higher in the PD group (Figure 2A); this is notably the case for interleukin-6 (IL-6) at 10h (*p* = 0.06) and 12h (*p* = 0.08), IL-8 at 6h (*p* < 0.01), IL-1β at 6h (*p* = 0.05), at 10h (*p* = 0.08) and at 12h (*p* < 0.05), and IL-10 at all timing from 6h (*p* < 0.01). Higher levels of IL-6 and IL-10 at 6h were also found in the PD group in our first study (23). No cytokine could be detected in the dialysis bath. In order to determine whether this finding could be related to increased gene expression in the tissue, we proceeded to RNA-seq analysis of the lung tissue at 0h, 6h, and 12h and compared the fold changes (FC, 6h vs. 0h and 12h vs. 0h) of the different cytokine mRNA counts between the PD and GS groups (Figure 2B). We observed higher levels of upregulated transcripts in the PD group for IL-6 at 12h, IL-1B at 6h and 12h, and tumor necrosis factor-α (TNFA) at 6h. No significant difference of transcript levels was found between the two groups in the case of the IL-10 gene.

Altogether, the EVLP with PD increased the expression of several cytokine genes in the lung tissue and led to higher levels of several cytokine proteins in the perfusate, despite the process of dialysis through a 30 kDa membrane.

### Pediatric Dialysis and Gold Standard both activate gene expression pathways related to inflammatory responses and activation of antigen-presenting cells

In order to examine the overall modulation of gene expression induced by EVLP in the GS and PD conditions, the DEG lists between 6h versus 0h and 12h versus 0h generated from the global RNA-seq results were submitted to a functional enrichment analysis (see the Material and methods section, Additional files 2, 4, Figure 3A). The enrichment analysis using the Hallmark data base showed that the TNF-α signaling via NFkB and the Inflammatory response were the top-enriched pathways (adjusted
<figure><img src="image_2.png" /><figcaption>**FIGURE 1**
Monitoring of the physiological parameters (A), electrolyte (B), and metabolite (C) concentrations in the perfusates in the Gold Standard (five pigs) and Pediatric Dialysis groups (four pigs). (A) From left to right: lung compliance, pulmonary artery pressure, pO2 on FiO2 30%. (B) From left to right: Na²⁺, Ca²⁺, Cl⁻ concentrations. (C) From left to right: glucose, lactate production, lactate deshydrogenase (LDH). To compare the data between the two groups, an unpaired t-test was used when the data passed the Shapiro normality test. For cases that did not pass the Shapiro normality test, a non-parametric Mann-Whitney test was performed. The *p*-value classes are reported as *p* < 0.05 or **p** < 0.01 at specific time points. The highest *p*-value class common to several time points is reported above a line. The error bars represent standard deviations.</figcaption></figure>

$p$-value < 0.001) in both groups at 6h and 12h. The enrichment of these inflammation-related functions was associated to the significant upregulation of the CSF3, IL-6, TNFA, TNFAIP3, MAP2K3, MAFF, REL genes in all groups and timings (Additional files 2 and 4, Figure 3A). The DEG lists and their statistical parameters were uploaded to the Ingenuity Systems (IPA), software that predicts modulation of functions and pathways by integrating the orientation of gene expression modulation and a scientific literature-based database. The downstream analysis of IPA predicted the activation of the ERK5-, HMGB-, IL-6-, and IL-17 signaling pathways, the inhibition of the PPAR pathway, as well as the activation of production of nitric oxide and ROS in macrophages- and of dendritic-cell maturation pathways (absolute *z*-score > 2), both in the GS and PD groups (Additional file 4, Figure 3B). IPA also showed the activation of cell proliferation and viability, activation of antigen-presenting cells and of macrophages, reduction of lung cell damage, and activation of cell movement (absolute *z*-score > 2 (Figure 3C). Finally, we submitted the DEG lists between 12h and 6h (Additional file 2) to functional enrichments. The sole significant functional enrichment was found in the case of the PD group using the

Reactome data base, which revealed enrichment for the
metabolism of RNA (Additional file 5).

Overall, the functional genomic analysis of the PD and GS
group RNA-seq data predicted stimulated viability and activation of
innate immune responses in both groups at 6h and 12h EVLP.

Pediatric Dialysis stimulates higher
expression of gene modules related to
endothelial activation at 6h and cytokine
signaling and metabolism of RNA at 12h

In several instances, the z-scores of the IPA downstream analysis of the DEGs between 6h versus 0h and 12h versus 0h appeared higher in the PD than in the GS group (Figure 3C) and Figure 1 indicated higher expression ratios of several cytokine genes in the PD group. We thus aimed at comparing the gene expression FC at 6h and at 12h between the GS et PD groups, using a non-parametric Wilcoxon statistical test. We investigated the functional enrichment of the genes with statistically different FC between the two groups, using IPA and Reactome databases (Additional file 3, Figure 4A). At 6h, the genes
<figure><img src="image_3.png" /><figcaption>**FIGURE 1**
Monitoring of the physiological parameters (A), electrolyte (B), and metabolite (C) concentrations in the perfusates in the Gold Standard (five pigs) and Pediatric Dialysis groups (four pigs). (A) From left to right: lung compliance, pulmonary artery pressure, pO2 on FiO2 30%. (B) From left to right: Na²⁺, Ca²⁺, Cl⁻ concentrations. (C) From left to right: glucose, lactate production, lactate deshydrogenase (LDH). To compare the data between the two groups, an unpaired t-test was used when the data passed the Shapiro normality test. For cases that did not pass the Shapiro normality test, a non-parametric Mann-Whitney test was performed. The *p*-value classes are reported as *p* < 0.05 or **p** < 0.01 at specific time points. The highest *p*-value class common to several time points is reported above a line. The error bars represent standard deviations.</figcaption></figure>

$p$-value < 0.001) in both groups at 6h and 12h. The enrichment of these inflammation-related functions was associated to the significant upregulation of the CSF3, IL-6, TNFA, TNFAIP3, MAP2K3, MAFF, REL genes in all groups and timings (Additional files 2 and 4, Figure 3A). The DEG lists and their statistical parameters were uploaded to the Ingenuity Systems (IPA), software that predicts modulation of functions and pathways by integrating the orientation of gene expression modulation and a scientific literature-based database. The downstream analysis of IPA predicted the activation of the ERK5-, HMGB-, IL-6-, and IL-17 signaling pathways, the inhibition of the PPAR pathway, as well as the activation of production of nitric oxide and ROS in macrophages- and of dendritic-cell maturation pathways (absolute *z*-score > 2), both in the GS and PD groups (Additional file 4, Figure 3B). IPA also showed the activation of cell proliferation and viability, activation of antigen-presenting cells and of macrophages, reduction of lung cell damage, and activation of cell movement (absolute *z*-score > 2 (Figure 3C). Finally, we submitted the DEG lists between 12h and 6h (Additional file 2) to functional enrichments. The sole significant functional enrichment was found in the case of the PD group using the

Reactome data base, which revealed enrichment for the
metabolism of RNA (Additional file 5).

Overall, the functional genomic analysis of the PD and GS
group RNA-seq data predicted stimulated viability and activation of
innate immune responses in both groups at 6h and 12h EVLP.

Pediatric Dialysis stimulates higher
expression of gene modules related to
endothelial activation at 6h and cytokine
signaling and metabolism of RNA at 12h

In several instances, the *z*-scores of the IPA downstream analysis of the DEGs between 6h versus 0h and 12h versus 0h appeared higher in the PD than in the GS group (Figure 3C) and Figure 1 indicated higher expression ratios of several cytokine genes in the PD group. We thus aimed at comparing the gene expression FC at 6h and at 12h between the GS et PD groups, using a non-parametric Wilcoxon statistical test. We investigated the functional enrichment of the genes with statistically different FC between the two groups, using IPA and Reactome databases (Additional file 3, Figure 4A). At 6h, the genes
<figure><img src="image_3.png" /><figcaption>**B** Cytokine transcript ratios</figcaption></figure>

<figure><img src="image_4.png" /></figure>

**FIGURE 2**

Cytokine protein and transcript analyses in the Gold Standard and Pediatric Dialysis groups. (A) Cytokines were detected in the perfusates using a porcine cytokine magnetic bead panel kit. At specific time points, when the data followed a normal distribution after Log₁₀ transformation, a t-test was used to compare the data between the two groups; alternatively, a non-parametric Mann-Whitney test was used, \*p < 0.05, \*\*p < 0.01 or exact value in case of tendency. (B) The cytokine gene expression ratios were established from the RNA-seq gene counts at 6h and 12h divided by the gene counts at 0h. The same statistical analysis was done as in A at specific time points.

with higher FC in the PD group were enriched for nitric oxide signaling, stimulation of endothelial cells and permeability of vasculature, with contributing genes including *C-C Motif Chemokine Ligand 4* (CCL4), *IL-1B*, *TNFA*, and *Endothelial Tyrosine Kinase (TEK)* (Figures 4A, B). At 12h, the genes with higher FC in the PD group had enriched profiles related to cytokine signaling in immune system, with higher expression FC of *Interferon Regulatory Factor 1* (IRF1), *LIF Interleukin 6 Family Cytokine (LIF)*, *IL-6*, *IL24*, *Class II Major Histocompatibility Complex Transactivator (CIITA)*, *CD40*, *CCL4* (Figures 4A, B). Finally, an enrichment for metabolism of RNA was found for the FC that were higher in the PD than in the GS group at 12h (Figures 4A, B).

Altogether, the comparison of the FC between the GS and PD group shows that endothelial cell activation at 6h and cytokine signaling gene pathways at 12h were statistically more engaged in the PD group than in the GS group.

**The dialysis process does not lead to higher C5 complement activation in the circuit**

Dialysis membrane can lead to complement activation, notably of C5 (25). Complement is produced mainly by the liver, but it can also be produced by lung cells, in particular by immune cells. Activated complement C5a, if released in the circuit and activated upon membranes, might recirculate to the lung and activate the inflammatory response in the tissue, leading to a feed forward loop. We tested this hypothesis by measuring C5a in the perfusates at 7h, 9h, and 11h. While C5a was indeed detected in the two groups (range: 0.8–1.7 ng/ml in the GS group and 0.4–0.85 ng/ml in the PD group), there was no statistically significant difference of release in the two groups, and we even observed a tendency for lower levels upon dialysis (Figure 5). Therefore, C5 complement activation
<figure><img src="image_4.png" /><figcaption>**A** Cytokines in perfusates</figcaption></figure>

**FIGURE 2**

Cytokine protein and transcript analyses in the Gold Standard and Pediatric Dialysis groups. (A) Cytokines were detected in the perfusates using a porcine cytokine magnetic bead panel kit. At specific time points, when the data followed a normal distribution after Log₁₀ transformation, a t-test was used to compare the data between the two groups; alternatively, a non-parametric Mann-Whitney test was used, \*p < 0.05, \*\*p < 0.01 or exact value in case of tendency. (B) The cytokine gene expression ratios were established from the RNA-seq gene counts at 6h and 12h divided by the gene counts at 0h. The same statistical analysis was done as in A at specific time points.

<caption>**B** Cytokine transcript ratios</caption>

with higher FC in the PD group were enriched for nitric oxide signaling, stimulation of endothelial cells and permeability of vasculature, with contributing genes including *C-C Motif Chemokine Ligand 4* (CCL4), *IL-1B*, *TNFA*, and *Endothelial Tyrosine Kinase (TEK)* (Figures 4A, B). At 12h, the genes with higher FC in the PD group had enriched profiles related to cytokine signaling in immune system, with higher expression FC of *Interferon Regulatory Factor 1* (IRF1), *LIF Interleukin 6 Family Cytokine (LIF)*, *IL-6*, *IL24*, *Class II Major Histocompatibility Complex Transactivator (CIITA)*, *CD40*, *CCL4* (Figures 4A, B). Finally, an enrichment for metabolism of RNA was found for the FC that were higher in the PD than in the GS group at 12h (Figures 4A, B).

Altogether, the comparison of the FC between the GS and PD group shows that endothelial cell activation at 6h and cytokine signaling gene pathways at 12h were statistically more engaged in the PD group than in the GS group.

**The dialysis process does not lead to higher C5 complement activation in the circuit**

Dialysis membrane can lead to complement activation, notably of C5 (25). Complement is produced mainly by the liver, but it can also be produced by lung cells, in particular by immune cells. Activated complement C5a, if released in the circuit and activated upon membranes, might recirculate to the lung and activate the inflammatory response in the tissue, leading to a feed forward loop. We tested this hypothesis by measuring C5a in the perfusates at 7h, 9h, and 11h. While C5a was indeed detected in the two groups (range: 0.8–1.7 ng/ml in the GS group and 0.4–0.85 ng/ml in the PD group), there was no statistically significant difference of release in the two groups, and we even observed a tendency for lower levels upon dialysis (Figure 5). Therefore, C5 complement activation
<figure><img src="image_5.png" /><figcaption>FIGURE 3</figcaption></figure>

Functional enrichments and predictions of modulated pathways/functions induced by EVLP in the Gold Standard and Pediatric Dialysis groups. Differentially expressed gene lists (DEGs) were established from the RNA-seq results of lung tissue undergoing EVLP at 6h versus 0h and at 12h versus 0h, in the Gold Standard and Pediatric Dialysis groups. (A) The DEGs were subjected to a functional enrichment analysis using the Hallmark gene sets. The functional enrichments were selected based on a -Log₁₀ adjusted *p*-value superior to 3 and over three contributing genes in at least one of the four conditions. (B, C) The DEGs were loaded and processed through the IPA core analysis for identification of predicted activated of inhibited canonical pathways (B) and functions (C) that were selected based on their biological relevance, absolute value of z-score superior to 2 with a -Log₁₀ *p*-value superior to 1.3 and over three contributing genes, in at least one of the four cases. The 15 top functions/pathways are shown. The contributing genes to the functional enrichments are reported in **Additional file 4**.

occurs during EVLP, but it does not explain the higher inflammatory response induced by the dialysis process.

Discussion

We report here that a dialysis circuit added to the Toronto protocol better balanced the electrolyte and metabolite composition of the perfusate than the standard of care periodic replacement of the perfusate during a 12h procedure but led to increased accumulation of inflammatory cytokines in the perfusate and higher gene activation related to endothelial activation at 6h and cytokine signaling pathways at 12h.

The transcriptomic analysis revealed the prediction of
activation of the ERK5-, HMGB-, IL-6-, and IL-17 signaling
pathways and inflammatory responses in both GS and PD
groups, similarly to what we previously published for the 6h time
point in our previous study (23). As stated in the Material and
methods section, the PD group is the same in the two studies, except

that the sole 6h time point was analyzed in our first study (23),
whereas the GS group is totally distinct between the two studies.
Furthermore, the differential expression of the genes versus 0h
(before EVLP initiation) was calculated differently in the two
studies: in the first study (23), the differential expression was
calculated relatively to ten unpaired lung tissues at 0h whereas,
here, the differential expression was calculated relatively to the same
paired lung tissue at 0h (see Methods). Most conclusions of the
DEG functional enrichments are similar between the two studies,
supporting the robustness of the results. However, the results of the
present study are stronger as they include paired analyses, and they
were refined by a comparative gene expression fold-change analysis
(see below). Additional differences between the groups may have
been obtained with a higher number of subjects.

While metabolites and electrolytes steadily increased in the GS
group over 12h, we could not detect significant modification of the
transcriptome between 6h and 12h. These results confirm the
finding obtained with human lungs undergoing EVLP for 12h,
using microarray technology (5). However, in the PD group, genes
<figure><img src="image_5.png" /><figcaption>FIGURE 3</figcaption></figure>

Functional enrichments and predictions of modulated pathways/functions induced by EVLP in the Gold Standard and Pediatric Dialysis groups. Differentially expressed gene lists (DEGs) were established from the RNA-seq results of lung tissue undergoing EVLP at 6h versus 0h and at 12h versus 0h, in the Gold Standard and Pediatric Dialysis groups. (A) The DEGs were subjected to a functional enrichment analysis using the Hallmark gene sets. The functional enrichments were selected based on a -Log₁₀ adjusted *p*-value superior to 3 and over three contributing genes in at least one of the four conditions. (B, C) The DEGs were loaded and processed through the IPA core analysis for identification of predicted activated of inhibited canonical pathways (B) and functions (C) that were selected based on their biological relevance, absolute value of z-score superior to 2 with a -Log₁₀ *p*-value superior to 1.3 and over three contributing genes, in at least one of the four cases. The 15 top functions/pathways are shown. The contributing genes to the functional enrichments are reported in **Additional file 4**.

occurs during EVLP, but it does not explain the higher inflammatory response induced by the dialysis process.

Discussion

We report here that a dialysis circuit added to the Toronto protocol better balanced the electrolyte and metabolite composition of the perfusate than the standard of care periodic replacement of the perfusate during a 12h procedure but led to increased accumulation of inflammatory cytokines in the perfusate and higher gene activation related to endothelial activation at 6h and cytokine signaling pathways at 12h.

The transcriptomic analysis revealed the prediction of
activation of the ERK5-, HMGB-, IL-6-, and IL-17 signaling
pathways and inflammatory responses in both GS and PD
groups, similarly to what we previously published for the 6h time
point in our previous study (23). As stated in the Material and
methods section, the PD group is the same in the two studies, except

that the sole 6h time point was analyzed in our first study (23),
whereas the GS group is totally distinct between the two studies.
Furthermore, the differential expression of the genes versus 0h
(before EVLP initiation) was calculated differently in the two
studies: in the first study (23), the differential expression was
calculated relatively to ten unpaired lung tissues at 0h whereas,
here, the differential expression was calculated relatively to the same
paired lung tissue at 0h (see Methods). Most conclusions of the
DEG functional enrichments are similar between the two studies,
supporting the robustness of the results. However, the results of the
present study are stronger as they include paired analyses, and they
were refined by a comparative gene expression fold-change analysis
(see below). Additional differences between the groups may have
been obtained with a higher number of subjects.

While metabolites and electrolytes steadily increased in the GS
group over 12h, we could not detect significant modification of the
transcriptome between 6h and 12h. These results confirm the
finding obtained with human lungs undergoing EVLP for 12h,
using microarray technology (5). However, in the PD group, genes
<figure><img src="image_6.png" /><figcaption>FIGURE 4</figcaption></figure>

Functional enrichments of the gene expression comparisons between the Gold Standard and Pediatric Dialysis groups. (A) A Wilcoxon test was performed to compare the expression fold change (FC) at 6h and 12h between the two groups. An adjusted *p*-value of 0.05 was used to filter the genes of the expression ratio comparisons and the resulting gene lists were subjected to an enrichment analysis using the IPA and Reactome datasets. The enriched functions with -Log10 *p*-values > 3 and > 3 contributing genes were selected. The enriched functions in the comparison of FC that is higher in the Pediatric Dialysis group are in red; they are blue when the comparison of FC is higher in the Gold Standard group. (B) The mean gene fold changes of the contributing genes of some of the enriched functions shown in A are illustrated as an heat map, in blue when down-modulated and in red when upregulated at the reported timing versus 0h.

related to RNA metabolism were differentially expressed at 12h versus 6h, suggesting a higher global cellular activity over time in this group. However, bulk analysis of RNA-seq may mask effects of prolonged EVLP on specific lung subsets; therefore, single-cell RNA-seq technology could be used to refine these conclusions and better evaluate the suspected alteration that EVLP generates overtime, given the absence of systemic regulation (renal, hepatic, pancreatic, and neurohormonal). Furthermore, additional biological metrics could be included to complement our genomic study of the dialysis effects on the lung response, such as metabolomic parameters (17), cell death evaluation (26), measurement of stress molecule release [HMGB1 (10), HSP70 (11)], evaluation of mitochondrial damages [release of mitochondrial DNA (27)], detection of NETosis (28), of endothelial molecule shedding [VCAM, glycocalyx fragments

(29)] and of enzymatic activities [myeloperoxidase (30)]. Indeed, a comprehensive biometric profile would be valuable to evaluate the global biological condition of lungs post-EVLP.

The important and new finding of the present study resides in the significantly higher cytokine signaling pathway observed in the PD than in the GS group, particularly at 12h. This finding was revealed by the comparative gene expression fold-change analysis that could not be done in our previous study (because the 0h samples were not available in the GS group) and also by extending the EVLP to a 12h duration. Of note, in (23), higher levels of IL-6 and IL-10 were obtained in the perfusate, a finding that is also confirmed here and extended to IL-8 and IL-1β. However, the higher levels of cytokines in the perfusate of the PD group exhibited variable degree of statistical significance, depending on timing. A higher sensitivity could have been reached by concentrating the
<figure><img src="image_6.png" /><figcaption>FIGURE 4</figcaption></figure>

Functional enrichments of the gene expression comparisons between the Gold Standard and Pediatric Dialysis groups. (A) A Wilcoxon test was performed to compare the expression fold change (FC) at 6h and 12h between the two groups. An adjusted *p*-value of 0.05 was used to filter the genes of the expression ratio comparisons and the resulting gene lists were subjected to an enrichment analysis using the IPA and Reactome datasets. The enriched functions with -Log10 *p*-values > 3 and > 3 contributing genes were selected. The enriched functions in the comparison of FC that is higher in the Pediatric Dialysis group are in red; they are blue when the comparison of FC is higher in the Gold Standard group. (B) The mean gene fold changes of the contributing genes of some of the enriched functions shown in A are illustrated as an heat map, in blue when down-modulated and in red when upregulated at the reported timing versus 0h.

related to RNA metabolism were differentially expressed at 12h versus 6h, suggesting a higher global cellular activity over time in this group. However, bulk analysis of RNA-seq may mask effects of prolonged EVLP on specific lung subsets; therefore, single-cell RNA-seq technology could be used to refine these conclusions and better evaluate the suspected alteration that EVLP generates overtime, given the absence of systemic regulation (renal, hepatic, pancreatic, and neurohormonal). Furthermore, additional biological metrics could be included to complement our genomic study of the dialysis effects on the lung response, such as metabolomic parameters (17), cell death evaluation (26), measurement of stress molecule release [HMGB1 (10), HSP70 (11)], evaluation of mitochondrial damages [release of mitochondrial DNA (27)], detection of NETosis (28), of endothelial molecule shedding [VCAM, glycocalyx fragments

(29)] and of enzymatic activities [myeloperoxidase (30)]. Indeed, a comprehensive biometric profile would be valuable to evaluate the global biological condition of lungs post-EVLP.

The important and new finding of the present study resides in the significantly higher cytokine signaling pathway observed in the PD than in the GS group, particularly at 12h. This finding was revealed by the comparative gene expression fold-change analysis that could not be done in our previous study (because the 0h samples were not available in the GS group) and also by extending the EVLP to a 12h duration. Of note, in (23), higher levels of IL-6 and IL-10 were obtained in the perfusate, a finding that is also confirmed here and extended to IL-8 and IL-1β. However, the higher levels of cytokines in the perfusate of the PD group exhibited variable degree of statistical significance, depending on timing. A higher sensitivity could have been reached by concentrating the
<figure><img src="image_7.png" /><figcaption>FIGURE 5
C5a levels in the Gold Standard and Pediatric Dialysis groups. The porcine C5a was detected by ELISA in the perfusates. The raw data followed a normal distribution with equal variance, and were compared between the two groups with an unpaired t-test. No statistically significant difference was found.</figcaption></figure>

perfusion or by measuring the total cytokine content in biopsies. Nevertheless, higher levels of inflammatory cytokines (IL-6 and IL-10) in the perfusates of EVLP purified by dialysis were also reported by another group, with human lungs declined for transplantation, although this finding was not emphasized (21).

The prediction for higher activation of endothelial cells and nitric oxide signaling in the PD group detected at 6h may be consistent with the higher pulmonary artery pressure that was observed in the PD group in this study as well as in the previous one (23). Indeed, endothelial gene activation induced by PD might lead to increased vascular resistivity, leading to higher pulmonary artery pressure. However, this finding was not obtained in the human study with dialysis on the EVLP circuit (21).

Several hypotheses can be proposed to explain the higher inflammatory responses induced by PD versus GS. We excluded the hypothesis that C5 activation by the dialysis membrane could be involved. PD also leads to a modified ionic/metabolite balance that may affect inflammatory response regulation. For instance, lactate that acts through the G protein-coupled receptor 81 (GPR81) to regulate immune cells (31) may participate to the control of the inflammatory response during EVLP as lactate is filtered out by dialysis. While it appears that C5a is probably partially filtered out because its levels tended to be lower in the PD group, other compounds such as vitamin C, inhibitors of complement, and soluble receptors of cytokines that mitigate inflammation may also be filtered out. The levels of cytokines in the perfusate would have been expected to decrease by being filtered out through the 30 kDa pore of the membranes, as the molecular weight of the tested cytokines lie between 8 and 20 kDa in their monomeric form. However, in patients, hemodialysis and filtration are known to be poorly effective at decreasing inflammatory cytokines from the circulation (32). In particular, IL-10, TNFα, and IL-6 are not

effectively cleared with these methods, possibly due to homo-/heteromultimerization phenomenon that leads to molecular forms of higher molecular weight than the pore size (32). In addition, in our system, heparin, which is administered in the perfusate at relatively high dose (10 UI/ml), may capture some of the cytokines and impede their elimination. Accordingly, we could not detect any cytokine in the cytokine bath. In addition, the repeated replacement of the perfusate in the GS group may also lead to reduction of cytokine concentration comparatively to the conditions of the close circuit in the PD group, especially if the cytokine is not well filtered out. In any event, the increase in inflammatory cytokine expression in the PD group may be deleterious to the outcome of transplantation. Indeed, IL-1β, IL-6, and IL-8 are biomarkers of poor outcome post-EVLP; IL-1β after 1h EVLP was predictive of the one-year survival post-lung transplantation (33), IL-8 during EVLP was associated with grade 3 primary graft dysfunction (7), the combination of IL-6 and IL-8 in an inflammatory score predicted the transplantation outcomes (34) and, recently, a machine learning approach including IL-6 and IL-8 measurements in the perfusion liquid could predict the post-transplant outcomes with high confidence (AUROC: 80) (35). Furthermore, removal of cytokines by adsorption reduced primary graft dysfunction in the pig model (26). Indeed, inflammatory cytokine signaling, in combination with the cell death and stress molecules such as HMGB1 liberated upon the ischemia-reperfusion response, is expected to promote activation of innate cells including neutrophils and monocyte/macrophages which are key cell types driving primary graft dysfunction and rejection events (36-38).

Our study includes several limitations and potential avenues can be suggested to facilitate clinical applications. First, it remains possible that different results could have been obtained with other dialysis protocols (type of membrane, dialysis bath, and flow rate). The key attributes of dialysis membranes are their molecular permeability (pore size/cutoff, sieving coefficients for different molecules), adsorptive and biocompatibility properties. Here, we used a poly-sulfone membrane (AVpaed) with a 30 kDa cutoff, with a low surface area, in an exclusive diffusive mode, to minimally interfere on the filtration process. Alternative membranes with better adsorption properties, for instance polymethylmethacrylate or AN69-types (copolymer of acrylonitrile-co-methallyl sulfonate) might have exhibit better clearance of pro-inflammatory cytokines, along with other molecules such as endotoxin or HMGB1 (39, 40). Expanding on this idea, Cytosorb® adsorbers placed on the EVLP circuit showed their benefits in reducing inflammatory cytokines during EVLP, reducing cell death and improving short-term transplantation outcomes, and they also corrected for the ionic and metabolic imbalances (26, 41). Second, the components depleted by the dialysis process and/or by the metabolizing lung could be supplemented in the perfusion fluid. For instance, vitamin C (42) and L-analyl-L-glutamine (43) supplementation as well as total parenteral nutrition showed their benefits on regular EVLP results (44). Noteworthy is the Toronto team short communication reporting that dialysis and the combination of dialysis with total parenteral nutrition permitted to prolong EVLP to 36h with excellent outcome upon short term transplantation (45). Finally, the lungs of the GS and PD should be grafted in order to confirm
<figure><img src="image_7.png" /><figcaption>FIGURE 5
C5a levels in the Gold Standard and Pediatric Dialysis groups. The porcine C5a was detected by ELISA in the perfusates. The raw data followed a normal distribution with equal variance, and were compared between the two groups with an unpaired t-test. No statistically significant difference was found.</figcaption></figure>

perfusion or by measuring the total cytokine content in biopsies. Nevertheless, higher levels of inflammatory cytokines (IL-6 and IL-10) in the perfusates of EVLP purified by dialysis were also reported by another group, with human lungs declined for transplantation, although this finding was not emphasized (21).

The prediction for higher activation of endothelial cells and nitric oxide signaling in the PD group detected at 6h may be consistent with the higher pulmonary artery pressure that was observed in the PD group in this study as well as in the previous one (23). Indeed, endothelial gene activation induced by PD might lead to increased vascular resistivity, leading to higher pulmonary artery pressure. However, this finding was not obtained in the human study with dialysis on the EVLP circuit (21).

Several hypotheses can be proposed to explain the higher inflammatory responses induced by PD versus GS. We excluded the hypothesis that C5 activation by the dialysis membrane could be involved. PD also leads to a modified ionic/metabolite balance that may affect inflammatory response regulation. For instance, lactate that acts through the G protein-coupled receptor 81 (GPR81) to regulate immune cells (31) may participate to the control of the inflammatory response during EVLP as lactate is filtered out by dialysis. While it appears that C5a is probably partially filtered out because its levels tended to be lower in the PD group, other compounds such as vitamin C, inhibitors of complement, and soluble receptors of cytokines that mitigate inflammation may also be filtered out. The levels of cytokines in the perfusate would have been expected to decrease by being filtered out through the 30 kDa pore of the membranes, as the molecular weight of the tested cytokines lie between 8 and 20 kDa in their monomeric form. However, in patients, hemodialysis and filtration are known to be poorly effective at decreasing inflammatory cytokines from the circulation (32). In particular, IL-10, TNFα, and IL-6 are not

effectively cleared with these methods, possibly due to homo-/heteromultimerization phenomenon that leads to molecular forms of higher molecular weight than the pore size (32). In addition, in our system, heparin, which is administered in the perfusate at relatively high dose (10 UI/ml), may capture some of the cytokines and impede their elimination. Accordingly, we could not detect any cytokine in the cytokine bath. In addition, the repeated replacement of the perfusate in the GS group may also lead to reduction of cytokine concentration comparatively to the conditions of the close circuit in the PD group, especially if the cytokine is not well filtered out. In any event, the increase in inflammatory cytokine expression in the PD group may be deleterious to the outcome of transplantation. Indeed, IL-1β, IL-6, and IL-8 are biomarkers of poor outcome post-EVLP; IL-1β after 1h EVLP was predictive of the one-year survival post-lung transplantation (33), IL-8 during EVLP was associated with grade 3 primary graft dysfunction (7), the combination of IL-6 and IL-8 in an inflammatory score predicted the transplantation outcomes (34) and, recently, a machine learning approach including IL-6 and IL-8 measurements in the perfusion liquid could predict the post-transplant outcomes with high confidence (AUROC: 80) (35). Furthermore, removal of cytokines by adsorption reduced primary graft dysfunction in the pig model (26). Indeed, inflammatory cytokine signaling, in combination with the cell death and stress molecules such as HMGB1 liberated upon the ischemia-reperfusion response, is expected to promote activation of innate cells including neutrophils and monocyte/macrophages which are key cell types driving primary graft dysfunction and rejection events (36-38).

Our study includes several limitations and potential avenues can be suggested to facilitate clinical applications. First, it remains possible that different results could have been obtained with other dialysis protocols (type of membrane, dialysis bath, and flow rate). The key attributes of dialysis membranes are their molecular permeability (pore size/cutoff, sieving coefficients for different molecules), adsorptive and biocompatibility properties. Here, we used a poly-sulfone membrane (AVpaed) with a 30 kDa cutoff, with a low surface area, in an exclusive diffusive mode, to minimally interfere on the filtration process. Alternative membranes with better adsorption properties, for instance polymethylmethacrylate or AN69-types (copolymer of acrylonitrile-co-methallyl sulfonate) might have exhibit better clearance of pro-inflammatory cytokines, along with other molecules such as endotoxin or HMGB1 (39, 40). Expanding on this idea, Cytosorb® adsorbers placed on the EVLP circuit showed their benefits in reducing inflammatory cytokines during EVLP, reducing cell death and improving short-term transplantation outcomes, and they also corrected for the ionic and metabolic imbalances (26, 41). Second, the components depleted by the dialysis process and/or by the metabolizing lung could be supplemented in the perfusion fluid. For instance, vitamin C (42) and L-analyl-L-glutamine (43) supplementation as well as total parenteral nutrition showed their benefits on regular EVLP results (44). Noteworthy is the Toronto team short communication reporting that dialysis and the combination of dialysis with total parenteral nutrition permitted to prolong EVLP to 36h with excellent outcome upon short term transplantation (45). Finally, the lungs of the GS and PD should be grafted in order to confirm
that the predicted PD-engendered increased cytokine gene pathway
activation leads to deleterious outcomes as compared to the
standard protocol with the regular replacement of the costly
Steen® perfusate.

While the pig model is considered as the most suitable
biomedical model for assessing and optimizing EVLP (46), pig
and human lungs may present different types of responses, due to
possible species-specific responses. Interestingly, in a previous
work, we reported that 11 of the 15 top modulated genes during
human EVLP were found similarly modulated during pig EVLP
(23), supporting the translational value of the pig model for EVLP.
Nevertheless, new dialysis protocols, assessed in the pig model,
should be confirmed with human lungs.

Conclusion

We document that perfusate clearance with addition of dialysis on the EVLP circuit stabilizes electrolytic and glucose metabolic parameters over a 12h duration with maintenance of respiratory functions but promotes the expression of inflammatory cytokine gene modules in the lung parenchyma that might have negative effects on the lung transplantation outcomes. We propose that dialysis may remove protective metabolites that are synthetized during EVLP and/or favors the accumulation of cytokines generating a pro-inflammatory feed-forward loop. This work emphasizes the interest of functional genomics to analyze the biological response to EVLP and its modifications. Although presenting seducing results in initial works, dialysis in EVLP should be further evaluated and improved before translation to the clinic. Membranes with higher adsorption properties and addition of nutrients could be considered to improve the system.

Data availability statement

The datasets presented in this study can be found in online
repositories. The names of the repository/repositories and accession
number(s) can be found below: GSE241921 (GEO).

Ethics statement

The animal study was approved by comité local d’éthique en
expérimentation animale COMETHEA, France. The study was
conducted in accordance with the local legislation and
institutional requirements.

Author contributions

JD: Conceptualization, Investigation, Methodology, Writing – review & editing. CG: Investigation, Methodology, Writing – review & editing, Formal analysis, Visualization. LJ: Formal analysis, Investigation, Methodology, Writing – review & editing, Conceptualization. MG: Conceptualization, Investigation, Methodology, Writing – review & editing. AP: Conceptualization, Investigation, Methodology, Writing – review & editing. FP: Investigation, Methodology, Writing – review & editing, Formal analysis, Visualization. MH: Formal analysis, Investigation, Methodology, Writing – review & editing. JE: Formal analysis, Investigation, Methodology, Writing – review & editing. J-JL: Investigation, Writing – review & editing. GE: Investigation, Writing – review & editing. CR: Investigation, Writing – review & editing, Methodology. VG: Investigation, Methodology, Writing – review & editing. CU: Investigation, Methodology, Writing – review & editing, Formal analysis. AR: Writing – review & editing, Conceptualization. ML: Conceptualization, Writing – review & editing, Formal Analysis, Investigation, Methodology. IS-C: Conceptualization, Formal analysis, Investigation, Methodology, Supervision, Validation, Writing – original draft. ES: Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – review & editing.

Funding

The author(s) declare financial support was received for the
research, authorship, and/or publication of this article. The study
was financed by Agence de la Biomédecine, by Fondation Foch
(fondation-foch.com) and by VIM-INRAE internal support. AP
was supported by a fellowship from the Société Française des
Anesthésistes Réanimateurs.

Acknowledgments

We warmly thank the “Installation expérimentale porcine” of
the GABI unit for their dedicated help with the pig experiment
and in particular Pascal Lafaux and the Pig Physiology and
Phenotyping Experimental Facility (https://doi.org/10.15454/
1.5573932732039927E12), in particular Nelly Muller and
Eloïse Delamaire. The surgery was performed on the CIMA
platform, DOI https://doi.org/10.15454/1.5572348210007727E12.
We are grateful to Mathilde Dupont-Nivet (GABI), Pascale
Chavatte-Palmer (BREED), and Sabine Riffault (VIM) for their
continuous support of our work. We thank the genotoul
bioinformatics platform Toulouse Occitanie (Bioinfo Genotoul,
https://doi.org/10.15454/1.5572369328961167E12) for providing
help and/or computing and/or storage resources. This work has
benefited from the facilities and expertise of the high-throughput
sequencing core facility of I2BC (Centre de Recherche de
Gif, https://www.i2bc.paris-saclay.fr/) and of the iGenSeq core
facility at ICM (Institut du Cerveau et de la Moelle, Paris,
https://igenseq.institutducerveau-icm.org/).
that the predicted PD-engendered increased cytokine gene pathway
activation leads to deleterious outcomes as compared to the
standard protocol with the regular replacement of the costly
Steen® perfusate.

While the pig model is considered as the most suitable
biomedical model for assessing and optimizing EVLP (46), pig
and human lungs may present different types of responses, due to
possible species-specific responses. Interestingly, in a previous
work, we reported that 11 of the 15 top modulated genes during
human EVLP were found similarly modulated during pig EVLP
(23), supporting the translational value of the pig model for EVLP.
Nevertheless, new dialysis protocols, assessed in the pig model,
should be confirmed with human lungs.

Conclusion

We document that perfusate clearance with addition of dialysis
on the EVLP circuit stabilizes electrolytic and glucose metabolic
parameters over a 12h duration with maintenance of respiratory
functions but promotes the expression of inflammatory cytokine
gene modules in the lung parenchyma that might have negative
effects on the lung transplantation outcomes. We propose that
dialysis may remove protective metabolites that are synthetized
during EVLP and/or favors the accumulation of cytokines
generating a pro-inflammatory feed-forward loop. This work
emphasizes the interest of functional genomics to analyze the
biological response to EVLP and its modifications. Although
presenting seducing results in initial works, dialysis in EVLP
should be further evaluated and improved before translation to
the clinic. Membranes with higher adsorption properties and
addition of nutrients could be considered to improve the system.

Data availability statement

The datasets presented in this study can be found in online
repositories. The names of the repository/repositories and accession
number(s) can be found below: GSE241921 (GEO).

Ethics statement

The animal study was approved by comité local d'éthique en
expérimentation animale COMETHEA, France. The study was
conducted in accordance with the local legislation and
institutional requirements.

Author contributions

JD: Conceptualization, Investigation, Methodology, Writing – review & editing. CG: Investigation, Methodology, Writing – review & editing, Formal analysis, Visualization. LJ: Formal analysis, Investigation, Methodology, Writing – review & editing, Conceptualization. MG: Conceptualization, Investigation, Methodology, Writing – review & editing. AP: Conceptualization, Investigation, Methodology, Writing – review & editing. FP: Investigation, Methodology, Writing – review & editing, Formal analysis, Visualization. MH: Formal analysis, Investigation, Methodology, Writing – review & editing. JE: Formal analysis, Investigation, Methodology, Writing – review & editing. J-JL: Investigation, Writing – review & editing. GE: Investigation, Writing – review & editing. CR: Investigation, Writing – review & editing, Methodology. VG: Investigation, Methodology, Writing – review & editing. CU: Investigation, Methodology, Writing – review & editing, Formal analysis. AR: Writing – review & editing, Conceptualization. ML: Conceptualization, Writing – review & editing, Formal Analysis, Investigation, Methodology. IS-C: Conceptualization, Formal analysis, Investigation, Methodology, Supervision, Validation, Writing – original draft. ES: Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – review & editing.

& editing, Formal analysis, Visualization. LJ: Formal analysis, Investigation, Methodology, Writing – review & editing, Conceptualization. MG: Conceptualization, Investigation, Methodology, Writing – review & editing. AP: Conceptualization, Investigation, Methodology, Writing – review & editing. FP: Investigation, Methodology, Writing – review & editing, Formal analysis, Visualization. MH: Formal analysis, Investigation, Methodology, Writing – review & editing. JE: Formal analysis, Investigation, Methodology, Writing – review & editing. J-JL: Investigation, Writing – review & editing. GE: Investigation, Writing – review & editing. CR: Investigation, Writing – review & editing, Methodology. VG: Investigation, Methodology, Writing – review & editing. CU: Investigation, Methodology, Writing – review & editing, Formal analysis. AR: Writing – review & editing, Conceptualization. ML: Conceptualization, Writing – review & editing, Formal Analysis, Investigation, Methodology. IS-C: Conceptualization, Formal analysis, Investigation, Methodology, Supervision, Validation, Writing – original draft. ES: Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – review & editing.

Funding

The author(s) declare financial support was received for the
research, authorship, and/or publication of this article. The study
was financed by Agence de la Biomédecine, by Fondation Foch
(fondation-foch.com) and by VIM-INRAE internal support. AP
was supported by a fellowship from the Société Française des
Anesthésistes Réanimateurs.

Acknowledgments

We warmly thank the “Installation expérimentale porcine” of
the GABI unit for their dedicated help with the pig experiment
and in particular Pascal Lafaux and the Pig Physiology and
Phenotyping Experimental Facility (https://doi.org/10.15454/
1.5573932732039927E12), in particular Nelly Muller and
Eloïse Delamaire. The surgery was performed on the CIMA
platform, DOI https://doi.org/10.15454/1.5572348210007727E12.
We are grateful to Mathilde Dupont-Nivet (GABI), Pascale
Chavatte-Palmer (BREED), and Sabine Riffault (VIM) for their
continuous support of our work. We thank the genotoul
bioinformatics platform Toulouse Occitanie (Bioinfo Genotoul,
https://doi.org/10.15454/1.5572369328961167E12) for providing
help and/or computing and/or storage resources. This work has
benefited from the facilities and expertise of the high-throughput
sequencing core facility of I2BC (Centre de Recherche de
Gif, https://www.i2bc.paris-saclay.fr/) and of the iGenSeq core
facility at ICM (Institut du Cerveau et de la Moelle, Paris,
https://igenseq.institutducerveau-icm.org/).
## Conflict of interest

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.

## Publisher's note

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.

## Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2024.1365964/full#supplementary-material

## References

1. Yu J, Zhang N, Zhang Z, Li Y, Gao J, Chen C, et al. Diagnostic and therapeutic implications of ex vivo lung perfusion in lung transplantation: potential benefits and inherent limitations. *Transplantation*. (2023) 107:105–16. doi: 10.1097/TP.0000000000004414

2. Ghaidan H, Fakhro M, Andreasson J, Pierre L, Ingemansson R, Lindstedt S. Ten year follow-up of lung transplantations using initially rejected donor lungs after reconditioning using ex vivo lung perfusion. *J Cardiothorac Surg*. (2019) 14:125. doi: 10.1186/s13019-019-0948-1

3. Niikawa H, Okamoto T, Ayyat KS, Itoda Y, Farver CF, McCurry KR. The protective effect of prone lung position on ischemia-reperfusion injury and lung function in an ex vivo porcine lung model. *J Thorac Cardiovasc Surg*. (2019) 157:425–33. doi: 10.1016/j.jtcvs.2018.08.101

4. Lonati C, Bassani GA, Brambilla D, Leonardi P, Carlin A, Faversani A, et al. Influence of ex vivo perfusion on the biomolecular profile of rat lungs. *FASEB J*. (2018) 32:5532–49. doi: 10.1096/fj.201701255R

5. Yeung JC, Zamel R, Klement W, Bai XH, Machuca TN, Waddell TK, et al. Towards donor lung recovery-gene expression changes during ex vivo lung perfusion of human lungs. *Am J Transplant*. (2018) 18:1518–26. doi: 10.1111/ajt.14700

6. Sadaria MR, Smith PD, Fullerton DA, Justison GA, Lee JH, Puskas F, et al. Cytokine expression profile in human lungs undergoing normothermic ex-vivo lung perfusion. *Ann Thorac Surg*. (2011) 92:478–84. doi: 10.1016/j.athoracsur.2011.04.027

7. Machuca TN, Cypel M, Yeung JC, Bonato R, Zamel R, Chen M, et al. Protein expression profiling predicts graft performance in clinical ex vivo lung perfusion. *Ann Surg*. (2015) 261:591–7. doi: 10.1097/SLA.00000000000000974

8. Watanabe T, Cypel M, Keshavjee S. Ex vivo lung perfusion. *J Thorac Dis*. (2021) 13:6602–17. doi: 10.21037/jtd

9. Wang X, Wang Y, Parapanov R, Abdelnour E, Gronchi F, Perentes JY, et al. Pharmacological reconditioning of marginal donor rat lungs using inhibitors of peroxynitrite and poly (ADP-ribose) polymerase during ex vivo lung perfusion. *Transplantation*. (2016) 100:1465–73. doi: 10.1097/TP.00000000000001183

10. Hashimoto K, Cypel M, Juvet S, Saito T, Zamel R, Machuca TN, et al. Higher M30 and high mobility group box 1 protein levels in ex vivo lung perfusate are associated with primary graft dysfunction after human lung transplantation. *J Heart Lung Transplant*. (2017) 37:240–9. doi: 10.1016/j.healun.2017.06.005

11. Stone JP, Ball AL, Crichley W, Yonan N, Liao Q, Sjoberg T, et al. Ex vivo lung perfusion improves the inflammatory signaling profile of the porcine donor lung following transplantation. *Transplantation*. (2020) 104:1899–905. doi: 10.1097/TP.00000000000003338

12. Oyama J, Blais CJr., Liu X, Pu M, Kobzik L, Kelly RA, et al. Reduced myocardial ischemia-reperfusion injury in toll-like receptor 4-deficient mice. *Circulation*. (2004) 109:784–9. doi: 10.1161/01.CIR.0000112575.66565.84

13. Shen XD, Ke B, Zhai Y, Gao F, Busuttil RW, Cheng G, et al. Toll-like receptor and heme oxygenase-1 signaling in hepatic ischemia/reperfusion injury. *Am J Transplant*. (2005) 5:1793–800. doi: 10.1111/j.1600-6143.2005.00932.x

14. Tang SC, Arumugam TV, Xu X, Cheng A, Mughal MR, Jo DG, et al. Pivotal role for neuronal Toll-like receptors in ischemic brain injury and functional deficits. *Proc Natl Acad Sci U S A*. (2007) 104:13798–803. doi: 10.1073/pnas.0702553104

15. Zhao H, Perez JS, Lu K, George AJ, Ma D. Role of Toll-like receptor-4 in renal graft ischemia-reperfusion injury. *Am J Physiol Renal Physiol*. (2014) 306:F801–11. doi: 10.1152/ajprenal.00469.2013

16. Iskender I, Cosgun T, Arni S, Trinkwitz M, Fehlings S, Yamada Y, et al. Cytokine filtration modulates pulmonary metabolism and edema formation during ex vivo lung perfusion. *J Heart Lung Transplant*. (2017) 37:283–91. doi: 10.1016/j.healun.2017.05.021

17. Shin J, Hsin MK, Baciu C, Chen Y, Zamel R, Machuca T, et al. Use of metabolomics to identify strategies to improve and prolong ex vivo lung perfusion

for lung transplants. *J Heart Lung Transplant*. (2021) 40:525–35. doi: 10.1016/j.healun.2021.02.002

18. Looby N, Roszkowska A, Ali A, Bojko B, Cypel M, Pawliszyn J. Metabolomic fingerprinting of porcine lung tissue during pre-clinical prolonged ex vivo lung perfusion using in vivo SPME coupled with LC-HRMS. *J Pharm Anal*. (2022) 12:590–600. doi: 10.1016/j.jpha.2022.06.002

19. Zaslona Z, O'Neill LAJ. Cytokine-like roles for metabolites in immunity. *Mol Cell*. (2020) 78:814–23. doi: 10.1016/j.molcel.2020.04.002

20. Pan X, Yang J, Fu S, Zhao H. Application of ex vivo lung perfusion (EVLP) in lung transplantation. *J Thorac Dis*. (2018) 10:4637–42. doi: 10.21037/jtd

21. Wei D, Gao F, Yang Z, Wang W, Chen Y, Lu Y, et al. Ex vivo lung perfusion with perfusate purification for human donor lungs following prolonged cold storage. *Ann Transl Med*. (2020) 8:38. doi: 10.21037/atm

22. Buchko MT, Himmat S, Stewart CJ, Hatami S, Dromparis P, Adam BA, et al. Continuous hemodialysis does not improve graft function during ex vivo lung perfusion over 24 hours. *Transplant Proc*. (2019) 51:2022–8. doi: 10.1016/j.transproceed.2019.03.042

23. De Wolf J, Glorion M, Jouveau L, Estephan J, Leplat JJ, Blanc F, et al. Challenging the ex vivo lung perfusion procedure with continuous dialysis in a pig model. *Transplantation*. (2022) 106:979–87. doi: 10.1097/TP.00000000000003931

24. Cypel M, Yeung JC, Hirayama S, Rubacha M, Fischer S, Anraku M, et al. Technique for prolonged normothermic ex vivo lung perfusion. *J Heart Lung Transplant*. (2008) 27:1319–25. doi: 10.1016/j.healun.2008.09.003

25. Ehlerding G, Erlenkotter A, Gauly A, Griesshaber B, Kennedy J, Rauber L, et al. Performance and hemocompatibility of a novel polysulfone dialyzer: A randomized controlled trial. *Kidney360*. (2021) 2:937–47. doi: 10.34067/KID.0000302021

26. Ghaidan H, Stenlo M, Niroomand A, Mittendorfer M, Hirdman G, Gvazava N, et al. Reduction of primary graft dysfunction using cytokine adsorption during organ preservation and after lung transplantation. *Nat Commun*. (2022) 13:4173. doi: 10.1038/s41467-022-31811-5

27. Abdelnour-Berchtold E, Ali A, Baciu C, Beroncal EL, Wang A, Hough O, et al. Evaluation of 10 degrees C as the optimal storage temperature for aspiration-injured donor lungs in a large animal transplant model. *J Heart Lung Transplant*. (2022) 41:1679–88. doi: 10.1016/j.healun.2022.08.025

28. Lindstedt S, Niroomand A, Mittendorfer M, Hirdman G, Hyllen S, Pierre L, et al. Nothing but NETs: Cytokine adsorption correlates with lower circulating nucleosomes and is associated with decreased primary graft dysfunction. *J Heart Lung Transplant*. (2023) 42:1358–62. doi: 10.1016/j.healun.2023.06.011

29. Sladden TM, Yerkovich S, Wall D, Tan M, Hunt W, Hill J, et al. Endothelial glycocalyx shedding occurs during ex vivo lung perfusion: A pilot study. *J Transplant*. (2019) 2019:6748242. doi: 10.1155/2019/6748242

30. Arni S, Maeyashiki T, Citak N, Opitz I, Inci I. Subnormothermic ex vivo lung perfusion temperature improves graft preservation in lung transplantation. *Cells*. (2021) 10:748. doi: 10.3390/cells10040748

31. Luo Y, Li L, Chen X, Gou H, Yan K, Xu Y. Effects of lactate in immunosuppression and inflammation: Progress and prospects. *Int Rev Immunol*. (2022) 41:19–29. doi: 10.1080/08830185.2021.1974856

32. Heering P, Morgera S, Schmitz FJ, Schmitz G, Willers R, Schultheiss HP, et al. Cytokine removal and cardiovascular hemodynamics in septic patients with continuous venovenous hemofiltration. *Intensive Care Med*. (1997) 23:288–96. doi: 10.1007/s0013-40050330

33. Andreasson ASI, Borthwick LA, Gillespie C, Jiwa K, Scott J, Henderson P, et al. The role of interleukin-1beta as a predictive biomarker and potential therapeutic target during clinical ex vivo lung perfusion. *J Heart Lung Transplant*. (2017) 36:985–95. doi: 10.1016/j.healun.2017.05.012
## Conflict of interest

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.

## Publisher's note

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.

## Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2024.1365964/full#supplementary-material

## References

1. Yu J, Zhang N, Zhang Z, Li Y, Gao J, Chen C, et al. Diagnostic and therapeutic implications of ex vivo lung perfusion in lung transplantation: potential benefits and inherent limitations. *Transplantation*. (2023) 107:105–16. doi: 10.1097/TP.0000000000004414

2. Ghaidan H, Fakhro M, Andreasson J, Pierre L, Ingemansson R, Lindstedt S. Ten year follow-up of lung transplantations using initially rejected donor lungs after reconditioning using ex vivo lung perfusion. *J Cardiothorac Surg*. (2019) 14:125. doi: 10.1186/s13019-019-0948-1

3. Niikawa H, Okamoto T, Ayyat KS, Itoda Y, Farver CF, McCurry KR. The protective effect of prone lung position on ischemia-reperfusion injury and lung function in an ex vivo porcine lung model. *J Thorac Cardiovasc Surg*. (2019) 157:425–33. doi: 10.1016/j.jtcvs.2018.08.101

4. Lonati C, Bassani GA, Brambilla D, Leonardi P, Carlin A, Faversani A, et al. Influence of ex vivo perfusion on the biomolecular profile of rat lungs. *FASEB J*. (2018) 32:5532–49. doi: 10.1096/fj.201701255R

5. Yeung JC, Zamel R, Klement W, Bai XH, Machuca TN, Waddell TK, et al. Towards donor lung recovery-gene expression changes during ex vivo lung perfusion of human lungs. *Am J Transplant*. (2018) 18:1518–26. doi: 10.1111/ajt.14700

6. Sadaria MR, Smith PD, Fullerton DA, Justison GA, Lee JH, Puskas F, et al. Cytokine expression profile in human lungs undergoing normothermic ex-vivo lung perfusion. *Ann Thorac Surg*. (2011) 92:478–84. doi: 10.1016/j.athoracsur.2011.04.027

7. Machuca TN, Cypel M, Yeung JC, Bonato R, Zamel R, Chen M, et al. Protein expression profiling predicts graft performance in clinical ex vivo lung perfusion. *Ann Surg*. (2015) 261:591–7. doi: 10.1097/SLA.00000000000000974

8. Watanabe T, Cypel M, Keshavjee S. Ex vivo lung perfusion. *J Thorac Dis*. (2021) 13:6602–17. doi: 10.21037/jtd

9. Wang X, Wang Y, Parapanov R, Abdelnour E, Gronchi F, Perentes JY, et al. Pharmacological reconditioning of marginal donor rat lungs using inhibitors of peroxynitrite and poly (ADP-ribose) polymerase during ex vivo lung perfusion. *Transplantation*. (2016) 100:1465–73. doi: 10.1097/TP.00000000000001183

10. Hashimoto K, Cypel M, Juvet S, Saito T, Zamel R, Machuca TN, et al. Higher M30 and high mobility group box 1 protein levels in ex vivo lung perfusate are associated with primary graft dysfunction after human lung transplantation. *J Heart Lung Transplant*. (2017) 37:240–9. doi: 10.1016/j.healun.2017.06.005

11. Stone JP, Ball AL, Crichley W, Yonan N, Liao Q, Sjoberg T, et al. Ex vivo lung perfusion improves the inflammatory signaling profile of the porcine donor lung following transplantation. *Transplantation*. (2020) 104:1899–905. doi: 10.1097/TP.00000000000003338

12. Oyama J, Blais CJr., Liu X, Pu M, Kobzik L, Kelly RA, et al. Reduced myocardial ischemia-reperfusion injury in toll-like receptor 4-deficient mice. *Circulation*. (2004) 109:784–9. doi: 10.1161/01.CIR.0000112575.66565.84

13. Shen XD, Ke B, Zhai Y, Gao F, Busuttil RW, Cheng G, et al. Toll-like receptor and heme oxygenase-1 signaling in hepatic ischemia/reperfusion injury. *Am J Transplant*. (2005) 5:1793–800. doi: 10.1111/j.1600-6143.2005.00932.x

14. Tang SC, Arumugam TV, Xu X, Cheng A, Mughal MR, Jo DG, et al. Pivotal role for neuronal Toll-like receptors in ischemic brain injury and functional deficits. *Proc Natl Acad Sci U S A*. (2007) 104:13798–803. doi: 10.1073/pnas.0702553104

15. Zhao H, Perez JS, Lu K, George AJ, Ma D. Role of Toll-like receptor-4 in renal graft ischemia-reperfusion injury. *Am J Physiol Renal Physiol*. (2014) 306:F801–11. doi: 10.1152/ajprenal.00469.2013

16. Iskender I, Cosgun T, Arni S, Trinkwitz M, Fehlings S, Yamada Y, et al. Cytokine filtration modulates pulmonary metabolism and edema formation during ex vivo lung perfusion. *J Heart Lung Transplant*. (2017) 37:283–91. doi: 10.1016/j.healun.2017.05.021

17. Shin J, Hsin MK, Baciu C, Chen Y, Zamel R, Machuca T, et al. Use of metabolomics to identify strategies to improve and prolong ex vivo lung perfusion

for lung transplants. *J Heart Lung Transplant*. (2021) 40:525–35. doi: 10.1016/j.healun.2021.02.002

18. Looby N, Roszkowska A, Ali A, Bojko B, Cypel M, Pawliszyn J. Metabolomic fingerprinting of porcine lung tissue during pre-clinical prolonged ex vivo lung perfusion using in vivo SPME coupled with LC-HRMS. *J Pharm Anal*. (2022) 12:590–600. doi: 10.1016/j.jpha.2022.06.002

19. Zaslona Z, O'Neill LAJ. Cytokine-like roles for metabolites in immunity. *Mol Cell*. (2020) 78:814–23. doi: 10.1016/j.molcel.2020.04.002

20. Pan X, Yang J, Fu S, Zhao H. Application of ex vivo lung perfusion (EVLP) in lung transplantation. *J Thorac Dis*. (2018) 10:4637–42. doi: 10.21037/jtd

21. Wei D, Gao F, Yang Z, Wang W, Chen Y, Lu Y, et al. Ex vivo lung perfusion with perfusate purification for human donor lungs following prolonged cold storage. *Ann Transl Med*. (2020) 8:38. doi: 10.21037/atm

22. Buchko MT, Himmat S, Stewart CJ, Hatami S, Dromparis P, Adam BA, et al. Continuous hemodialysis does not improve graft function during ex vivo lung perfusion over 24 hours. *Transplant Proc*. (2019) 51:2022–8. doi: 10.1016/j.transproceed.2019.03.042

23. De Wolf J, Glorion M, Jouveau L, Estephan J, Leplat JJ, Blanc F, et al. Challenging the ex vivo lung perfusion procedure with continuous dialysis in a pig model. *Transplantation*. (2022) 106:979–87. doi: 10.1097/TP.00000000000003931

24. Cypel M, Yeung JC, Hirayama S, Rubacha M, Fischer S, Anraku M, et al. Technique for prolonged normothermic ex vivo lung perfusion. *J Heart Lung Transplant*. (2008) 27:1319–25. doi: 10.1016/j.healun.2008.09.003

25. Ehlerding G, Erlenkotter A, Gauly A, Griesshaber B, Kennedy J, Rauber L, et al. Performance and hemocompatibility of a novel polysulfone dialyzer: A randomized controlled trial. *Kidney360*. (2021) 2:937–47. doi: 10.34067/KID.0000302021

26. Ghaidan H, Stenlo M, Niroomand A, Mittendorfer M, Hirdman G, Gvazava N, et al. Reduction of primary graft dysfunction using cytokine adsorption during organ preservation and after lung transplantation. *Nat Commun*. (2022) 13:4173. doi: 10.1038/s41467-022-31811-5

27. Abdelnour-Berchtold E, Ali A, Baciu C, Beroncal EL, Wang A, Hough O, et al. Evaluation of 10 degrees C as the optimal storage temperature for aspiration-injured donor lungs in a large animal transplant model. *J Heart Lung Transplant*. (2022) 41:1679–88. doi: 10.1016/j.healun.2022.08.025

28. Lindstedt S, Niroomand A, Mittendorfer M, Hirdman G, Hyllen S, Pierre L, et al. Nothing but NETs: Cytokine adsorption correlates with lower circulating nucleosomes and is associated with decreased primary graft dysfunction. *J Heart Lung Transplant*. (2023) 42:1358–62. doi: 10.1016/j.healun.2023.06.011

29. Sladden TM, Yerkovich S, Wall D, Tan M, Hunt W, Hill J, et al. Endothelial glycocalyx shedding occurs during ex vivo lung perfusion: A pilot study. *J Transplant*. (2019) 2019:6748242. doi: 10.1155/2019/6748242

30. Arni S, Maeyashiki T, Citak N, Opitz I, Inci I. Subnormothermic ex vivo lung perfusion temperature improves graft preservation in lung transplantation. *Cells*. (2021) 10:748. doi: 10.3390/cells10040748

31. Luo Y, Li L, Chen X, Gou H, Yan K, Xu Y. Effects of lactate in immunosuppression and inflammation: Progress and prospects. *Int Rev Immunol*. (2022) 41:19–29. doi: 10.1080/08830185.2021.1974856

32. Heering P, Morgera S, Schmitz FJ, Schmitz G, Willers R, Schultheiss HP, et al. Cytokine removal and cardiovascular hemodynamics in septic patients with continuous venovenous hemofiltration. *Intensive Care Med*. (1997) 23:288–96. doi: 10.1007/s0013-40050330

33. Andreasson ASI, Borthwick LA, Gillespie C, Jiwa K, Scott J, Henderson P, et al. The role of interleukin-1beta as a predictive biomarker and potential therapeutic target during clinical ex vivo lung perfusion. *J Heart Lung Transplant*. (2017) 36:985–95. doi: 10.1016/j.healun.2017.05.012
34. Sage AT, Richard-Greenblatt M, Zhong K, Bai XH, Snow MB, Babits M, et al. Prediction of donor related lung injury in clinical lung transplantation using a validated *ex vivo* lung perfusion inflammation score. *J Heart Lung Transplant*. (2021) 40:687-95. doi: 10.1016/j.healun.2021.03.002

35. Sage AT, Donahoe LL, Shamandy AA, Mousavi SH, Chao BT, Zhou X, et al. A machine-learning approach to human *ex vivo* lung perfusion predicts transplantation outcomes and promotes organ utilization. *Nat Commun*. (2023) 14:4810. doi: 10.1038/s41467-023-40468-7

36. Shepherd HM, Gauthier JM, Li W, Krupnick AS, Gelman AE, Kreisel D. Innate immunity in lung transplantation. *J Heart Lung Transplant*. (2021) 40:562-8. doi: 10.1016/j.healun.2021.03.017

37. Ochando J, Ordikhani F, Boros P, Jordan S. The innate immune response to allotransplants: mechanisms and therapeutic potentials. *Cell Mol Immunol*. (2019) 16:350-6. doi: 10.1038/s41423-019-0216-2

38. Kurihara C, Lecuona E, Wu Q, Yang W, Nunez-Santana FL, Akbarpour M, et al. Crosstalk between nonclassical monocytes and alveolar macrophages mediates transplant ischemia-reperfusion injury through classical monocyte recruitment. *JCI Insight*. (2021) 6:e147282. doi: 10.1172/jci.insight.147282

39. Honore PM, Matson JR. Hemofiltration, adsorption, sieving and the challenge of sepsis therapy design. *Crit Care*. (2002) 6:394-6. doi: 10.1186/cc1826

40. Furuta M, Kuragano T, Kida A, Kitamura R, Nanami M, Otaki Y, et al. A crossover study of the acrylonitrile-co-methallyl sulfonate and polysulfone membranes for elderly hemodialysis patients: the effect on hemodynamic, nutritional, and inflammatory conditions. *ASAIO J*. (2011) 57:293-9. doi: 10.1097/MAT.0b013e31821796f1

41. Iskender I, Arni S, Maeyashiki T, Citak N, Sauer M, Rodriguez JM, et al. Perfusate adsorption during *ex vivo* lung perfusion improves early post-transplant lung function. *J Thorac Cardiovasc Surg*. (2021) 161:e109-e21. doi: 10.1016/j.jtcvs.2019.12.128

42. Shaghaghi H, Kadlecek S, Siddiqui S, Pourfathi M, Hamedani H, Clapp J, et al. Ascorbic acid prolongs the viability and stability of isolated perfused lungs: A mechanistic study using 31P and hyperpolarized 13C nuclear magnetic resonance. *Free Radic Biol Med*. (2015) 89:62-71. doi: 10.1016/j.freeradbiomed.2015.06.042

43. Huang L, Hough O, Vellanki RN, Takahashi M, Zhu Z, Xiang YY, et al. L-alanyl-L-glutamine modified perfusate improves human lung cell functions and extend porcine *ex vivo* lung perfusion. *J Heart Lung Transplant*. (2023) 42:183-95. doi: 10.1016/j.healun.2022.10.022

44. Buchko MT, Stewart CJ, Hatami S, Himmat S, Freed DH, Nagendran J. Total parenteral nutrition in *ex vivo* lung perfusion: Addressing metabolism improves both inflammation and oxygenation. *Am J Transplant*. (2019) 19:3390-7. doi: 10.1111/ajt.15572

45. Hough O, Mariscal A, Yamamoto H, Mangat H, Taniguchi D, Gokhale H, et al. Improved *ex vivo* lung perfusion (EVLP) with dialysis and nutrition to achieve successful 36h EVLP and lung transplantation. *J Heart Lung Transplant*. (2023) 42: S60. doi: 10.1016/j.healun.2023.02.129

46. Wang A, Ali A, Keshavjee S, Liu M, Cypel M. *Ex vivo* lung perfusion for donor lung assessment and repair: a review of translational interspecies models. *Am J Physiol Lung Cell Mol Physiol*. (2020) 319:L932-L40. doi: 10.1152/ajplung.00295.2020
34. Sage AT, Richard-Greenblatt M, Zhong K, Bai XH, Snow MB, Babits M, et al. Prediction of donor related lung injury in clinical lung transplantation using a validated *ex vivo* lung perfusion inflammation score. *J Heart Lung Transplant*. (2021) 40:687-95. doi: 10.1016/j.healun.2021.03.002

35. Sage AT, Donahoe LL, Shamandy AA, Mousavi SH, Chao BT, Zhou X, et al. A machine-learning approach to human *ex vivo* lung perfusion predicts transplantation outcomes and promotes organ utilization. *Nat Commun*. (2023) 14:4810. doi: 10.1038/s41467-023-40468-7

36. Shepherd HM, Gauthier JM, Li W, Krupnick AS, Gelman AE, Kreisel D. Innate immunity in lung transplantation. *J Heart Lung Transplant*. (2021) 40:562-8. doi: 10.1016/j.healun.2021.03.017

37. Ochando J, Ordikhani F, Boros P, Jordan S. The innate immune response to allotransplants: mechanisms and therapeutic potentials. *Cell Mol Immunol*. (2019) 16:350-6. doi: 10.1038/s41423-019-0216-2

38. Kurihara C, Lecuona E, Wu Q, Yang W, Nunez-Santana FL, Akbarpour M, et al. Crosstalk between nonclassical monocytes and alveolar macrophages mediates transplant ischemia-reperfusion injury through classical monocyte recruitment. *JCI Insight*. (2021) 6:e147282. doi: 10.1172/jci.insight.147282

39. Honore PM, Matson JR. Hemofiltration, adsorption, sieving and the challenge of sepsis therapy design. *Crit Care*. (2002) 6:394-6. doi: 10.1186/cc1826

40. Furuta M, Kuragano T, Kida A, Kitamura R, Nanami M, Otaki Y, et al. A crossover study of the acrylonitrile-co-methallyl sulfonate and polysulfone membranes for elderly hemodialysis patients: the effect on hemodynamic, nutritional, and inflammatory conditions. *ASAIO J*. (2011) 57:293-9. doi: 10.1097/MAT.0b013e31821796f1

41. Iskender I, Arni S, Maeyashiki T, Citak N, Sauer M, Rodriguez JM, et al. Perfusate adsorption during *ex vivo* lung perfusion improves early post-transplant lung function. *J Thorac Cardiovasc Surg*. (2021) 161:e109-e21. doi: 10.1016/j.jtcvs.2019.12.128

42. Shaghaghi H, Kadlecek S, Siddiqui S, Pourfathi M, Hamedani H, Clapp J, et al. Ascorbic acid prolongs the viability and stability of isolated perfused lungs: A mechanistic study using 31P and hyperpolarized 13C nuclear magnetic resonance. *Free Radic Biol Med*. (2015) 89:62-71. doi: 10.1016/j.freeradbiomed.2015.06.042

43. Huang L, Hough O, Vellanki RN, Takahashi M, Zhu Z, Xiang YY, et al. L-alanyl-L-glutamine modified perfusate improves human lung cell functions and extend porcine *ex vivo* lung perfusion. *J Heart Lung Transplant*. (2023) 42:183-95. doi: 10.1016/j.healun.2022.10.022

44. Buchko MT, Stewart CJ, Hatami S, Himmat S, Freed DH, Nagendran J. Total parenteral nutrition in *ex vivo* lung perfusion: Addressing metabolism improves both inflammation and oxygenation. *Am J Transplant*. (2019) 19:3390-7. doi: 10.1111/ajt.15572

45. Hough O, Mariscal A, Yamamoto H, Mangat H, Taniguchi D, Gokhale H, et al. Improved *ex vivo* lung perfusion (EVLP) with dialysis and nutrition to achieve successful 36h EVLP and lung transplantation. *J Heart Lung Transplant*. (2023) 42: S60. doi: 10.1016/j.healun.2023.02.129

46. Wang A, Ali A, Keshavjee S, Liu M, Cypel M. *Ex vivo* lung perfusion for donor lung assessment and repair: a review of translational interspecies models. *Am J Physiol Lung Cell Mol Physiol*. (2020) 319:L932-L40. doi: 10.1152/ajplung.00295.2020