Evidence map›Paper›PMID 40263629›Full record

ArticleGene therapy2025

Ex vivo machine perfusion as a platform for lentiviral gene delivery in rat livers.

Irina Filz von Reiterdank, Mohammadreza Mojoudi, Raphaela Bento, McLean S Taggart, Antonia T Dinicu, Gregory Wojtkiewicz, J H Coert, Aebele B Mink van der Molen, Ralph Weissleder, Biju Parekkadan and 1 more

Abstract read
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In one paragraph

Article in Gene therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Tolerance Induction Strategies in Organ Transplantation: Current Status and Future Perspectives.Transplant international : official journal of the European Society for Organ Transplantation · 2025
    Review
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Irina Filz von ReiterdankCenter for Engineering for Medicine and Surgery, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-0234-2704
Mohammadreza MojoudiCenter for Engineering for Medicine and Surgery, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Raphaela BentoCenter for Engineering for Medicine and Surgery, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-3731-4524
McLean S TaggartCenter for Engineering for Medicine and Surgery, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Antonia T DinicuCenter for Engineering for Medicine and Surgery, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Gregory WojtkiewiczCenter for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
J H CoertDepartment of Plastic, Reconstructive and Hand Surgery, University Medical Center Utrecht, Utrecht, The Netherlands.
Aebele B Mink van der MolenDepartment of Plastic, Reconstructive and Hand Surgery, University Medical Center Utrecht, Utrecht, The Netherlands.
Ralph WeisslederCenter for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-0828-4143
Biju ParekkadanDepartment of Biomedical Engineering, Rutgers University, Piscataway, NJ, USA. biju.parekkadan@rutgers.edu.
Korkut UygunCenter for Engineering for Medicine and Surgery, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. kuygun@mgh.harvard.edu.ORCID 0000-0003-2088-7860

Funding

High subzero preservation of liver for transplantationR01DK114506 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI TONER, MEHMET, UYGUN, KORKUT · 2017 to 2025
$4.4M
Genetic-engineered control of the immunogeneic state of vascular composite allografts during preservationR01EB028782 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Biju Parekkadan, Korkut Uygun · 2021 to 2026
$3.1M
NIBIB NIH HHS R01 EB028782NIDDK NIH HHS R01 DK114506
6 · The paper itself

Abstract

Developing new strategies for local monitoring and delivery of immunosuppression is critical to making allografts safer and more accessible. Ex vivo genetic modification of grafts using machine perfusion presents a promising approach to improve graft function and modulate immune responses while minimizing risks of off-target effects and systemic immunogenicity in vivo. This proof-of-concept study demonstrates the feasibility of using normothermic machine perfusion (NMP) to mimic in vitro conditions for effective gene delivery. In this study, lentiviral vectors encoding the secreted biomarker Gaussia Luciferase (GLuc) and red fluorescent protein (RFP) were introduced ex vivo to rodent livers during a 72-h machine perfusion protocol. After an initial 24-h exposure to viral vectors, the organs were maintained in perfusion for an additional 48 h to monitor gene expression, aligning with in vitro benchmarks. Control livers were perfused in similar fashion, but without viral injections. Virally perfused livers exhibited nearly a 10-fold increase in luminescence compared to controls (p < 0.0001), indicating successful genetic modification of the organs. These findings validate the use of machine perfusion systems and viral vectors to genetically engineer whole organs ex vivo, laying the groundwork for a broad range of applications in transplantation through genetic manipulation of organ systems. Future studies will focus on refining this technology to enhance precision in gene expression and explore its implications for clinical translation.

Indexed as

Gene Transfer TechniquesLentivirusLiverPerfusionAnimalsGenetic VectorsLuciferasesLuminescent ProteinsMaleRatsRed Fluorescent ProteinLuciferasesLuminescent ProteinsRed Fluorescent Protein

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.