Liver Graft Viability Assessment During Normothermic Regional Perfusion (MAASTR3BOLOMIC)

July 24, 2025 updated by: Hospices Civils de Lyon

Metabolomics Based Prediction Model for Liver Graft Viability During Normothermic Regional Perfusion in Donation After Circulatory Death

With the increasing shortage of available donor organs, liver transplantation from donation after circulatory death (DCD) has been established in many countries to offer a therapeutic strategy for patients with end-stage liver disease beyond standard donation after brain death (DBD). In France, a controlled DCD (cDCD) program based on the use of normothermic regional perfusion (NRP) during organ procurement has been successfully implemented since 2015. This program has since shown excellent post-transplant outcomes with one-year patient and graft survival rates >90%. However, owing to very strict donor and graft selection criteria nearly one third of all potential liver grafts were not transplanted because of presumed poor quality. Furthermore, survival in cDCD liver transplantation which did not adhere to the current selection criteria was significantly lower (68% vs 94%) compared to the highly selected population. Thus, to further expand selection criteria and reduce discard rates without compromising outcomes, there is an urgent need for novel objective methods to assess graft quality prior to transplantation.

Graft quality assessment prior to transplantation has been a key challenge in liver transplantation for decades and still today the decision to accept or decline a graft before transplantation relies for the most part on ''gut feeling" of the procurement or transplant team. Currently, selection criteria for cDCD in France are based on donor data, liver biopsy results and hepatocyte injury markers AST and ALT. While donor data are only indirect indicators of graft quality, liver graft biopsy are highly pathologist dependant and do not provide a dynamic assessment. Hepatocyte injury markers during normothermic perfusion have been shown to only have limited value in predicting post-transplant graft function. In addition, several recent studies have suggested a superior predictive value of specific biomarkers in the liver through metabolomics. There is growing evidence that dynamic graft preservation such as NRP may even allow a direct analysis of key injury metabolites within solid organ grafts.

During cDCD procurement, liver grafts are exposed to donor warm ischemia which in combination with static cold storage causes ischemia-reperfusion injury (IRI) of the graft during implantation in the recipient. IRI is directly correlated to detrimental post-transplant complications such as primary non function and ischemic cholangiopathy or even recipient death.

Studies in animal models have revealed that mitochondria play a major role in IR injury and several mitochondrial signature metabolites for example succinate have been identified in various solid organ grafts such as livers, hearts and kidneys. Based on these results, our team and others have recently identified the release of a small auto fluorescent molecular compound of the mitochondrial respiratory chain, Flavin Mononucleotide (FMN), during the early phase of hepatic I/R injury. Furthermore, FMN has been shown to serve as a surrogate marker for impaired cellular energy production of the liver graft prior to transplantation and enable accurate prediction of post-transplant liver graft viability. Given the natural fluorescence of FMN, a real time quantification method has been established allowing to rapidly assess viability of human liver grafts during the procurement process. Of note, a team from the United Kingdom has validated this real-time FMN quantification during NRP of cDCD liver grafts. Interestingly, since mitochondrial injury is a universal signature of graft injury during the transplant process, FMN has the potential to serve as viability marker in other solid organs such as hearts, lungs and kidneys.

In addition, metabolomics approach allow the identification and quantification of many metabolites in a biological system through the use of high-throughput analytical technologies. It can give valuable information about what has, is and will occured in a specific tissu. In Liver transplantation, efforts have focused on studying early event of IR which are known to influence long term outcomes. It is however a complex pathway involving numerous metabolites. Metabolomic is therefore gaining interst in field of LT because it can enlight underlying metabolic process occurring during organ preservation and can lead the way toward a better evaluation of graft quality.

Thus, this study aims at developing a robust bio-clinical prediction model of liver graft viability during NRP using in depth metabolomics of perfusate and tissue in combination with available donor and graft characteristics

Study Overview

Status

Completed

Intervention / Treatment

Study Type

Interventional

Enrollment (Actual)

60

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Clichy, France, 92210
        • Department of HPB surgery and liver transplantation
      • Lyon, France, 69004
        • Department of general surgery and liver transplantation, Croix-Rousse University Hospital 103 Boulevard de la Croix Rousse
      • Paris, France, 75013
        • Department of HPB surgery and liver transplantation
      • Rennes, France, 35000
        • Department of HPB and Digestive Surgery

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 66 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • All cDCD liver grafts allocated to one of the study centers undergoing NRP and where procurement of any abdominal organ is initiated
  • Procurement performed by one of the four transplant teams
  • non opposition by the donor or his family to organ donation
  • non opposition by the recipient to participate in the study
  • All Adult recipients on the waiting list for liver transplantation elligible for a liver procured after circulatory death according to the Agence de la Biomedecine.

    • Recipient, aged at least 18 years and less than 66 years,
    • Awaiting a first transplantation,
    • Recipients considered not too sick to cope with post-reperfusion syndrome not ventilated, no inotropic agents ...)
    • No major surgical history and no portal vein thrombosis; To minimize cold and recipient ischemic time (anastomotic time), patients where the recipient hepatectomy was predicted to be difficult were excluded
    • With a MELD score ≤ 25
    • Patient has been duly informed and has consented. Although the results of transplantations after DCD have very clearly improved over the years, clear information for the recipient and the provision of informed consent both remain essential. This means making clear to the patient the risk of primary nonfunction as well as of ischemic cholangiopathy and early arterial thrombosis.

Exclusion Criteria:

-- cDCD procurement where NRP fails or is not initiated due to technical reasons

- Graft reallocation after procurement to a transplant team not included in the study

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Diagnostic
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Other: Donnor of liver grafts
Blood samples And liver biopsy taken from the donnor
Additional samples will be preleved in the Normothermic Regional Reperfusion at 30 min, and blood sample will be collected at the end of the Normothermic Regional Reperfusion (4 samples of 5ml).

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Composit endpoint: Number of major liver graft-related adverse events (LGRAE) containing - Graft dysfunction or primary non-function - Non-anastomotic biliary structure - Arterial complications
Time Frame: Unitl the end of study, an average of 3 years
Unitl the end of study, an average of 3 years
Identification and Semi Quantification of FMN during normothermic regional perfusion
Time Frame: Unitl the end of study, an average of 3 years
Metabolomic evaluation of the graft including various markers of interest (FMN, hypoxanthine, succinate, xanthine, NADH) measured by sepctroscopy and mass spectrometry (LC-MS), during CRN.
Unitl the end of study, an average of 3 years
Identification and Semi Quantification of Hypoxanthine during normothermic regional perfusion
Time Frame: Unitl the end of study, an average of 3 years
measured by spectroscopy and mass spectrometry (LC-MS), during CRN.
Unitl the end of study, an average of 3 years
Identification and Semi Quantification of succinate during normothermic regional perfusion
Time Frame: Unitl the end of study, an average of 3 years
measured by spectroscopy and mass spectrometry (LC-MS), during CRN.
Unitl the end of study, an average of 3 years
Identification and Quantification of xanthine during normothermic regional perfusion
Time Frame: Unitl the end of study, an average of 3 years
measured by spectroscopy and mass spectrometry (LC-MS), during CRN.
Unitl the end of study, an average of 3 years
Identification and Semi Quantification of NADH during normothermic regional perfusionn
Time Frame: Unitl the end of study, an average of 3 years
measured by spectroscopy and mass spectrometry (LC-MS), during CRN.
Unitl the end of study, an average of 3 years
Sensitivity and Specificity analysis of the FMN regarding the composit endpoint of outcome 1
Time Frame: Unitl the end of study, an average of 3 years
Unitl the end of study, an average of 3 years
Sensitivity and Specificity analysis of the hypoxanthine regarding the composit endpoint of outcome 1
Time Frame: Unitl the end of study, an average of 3 years
Unitl the end of study, an average of 3 years
Sensitivity and Specificity analysis of the succinate regarding the composit endpoint of outcome 1
Time Frame: Unitl the end of study, an average of 3 years
Unitl the end of study, an average of 3 years
Sensitivity and Specificity analysis of the xanthine regarding the composit endpoint of outcome 1
Time Frame: Unitl the end of study, an average of 3 years
Unitl the end of study, an average of 3 years
Sensitivity and Specificity analysis of the NADH regarding the composit endpoint of outcome 1
Time Frame: Unitl the end of study, an average of 3 years
Unitl the end of study, an average of 3 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

August 22, 2022

Primary Completion (Actual)

June 26, 2025

Study Completion (Actual)

June 26, 2025

Study Registration Dates

First Submitted

April 22, 2022

First Submitted That Met QC Criteria

April 28, 2022

First Posted (Actual)

May 4, 2022

Study Record Updates

Last Update Posted (Actual)

July 25, 2025

Last Update Submitted That Met QC Criteria

July 24, 2025

Last Verified

July 1, 2025

More Information

Terms related to this study

Other Study ID Numbers

  • 69HCL21_1179

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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