Ex-vivo mRNA therapy to predict kidney vitality during transplantation

Research output: Contribution to conferencePosterResearch


High-risk kidneys have been used for transplantation due to the big gap between supply and demand for kidney transplantation, which sometimes exhibit unexpected prognosis. Presently, it is still a great challenge to predict the function and metabolic activity of the marginal kidneys for rational preselection in the clinic. Here we utilize non-invasive biodegradable nanoparticles as mRNA carriers to delivery and assess ex-vivo kidney viability and metabolic activity, and finally predict the quality of a donor kidney on a cellular basis for transplantation.

The in vitro performance of lipid nanoparticles (LNPs) for mRNA delivery were screened and validated in HKC-8 cells. Particles loaded with self-quenching dye-conjugated oligos or reporter mRNAs were administered through normothermic machine perfusion system and real-time monitored non-invasively by near infrared (NIF) camera. We hypotheses the uptake and translation are active behaviours of live cells, where only metabolically active cells can emit reporter signal.

Data have shown the accumulation of nanoparticles in pig kidneys and successfully detection of fluorescent signals predominantly in cortex by real-time imaging during ex-vivo perfusion. The delivery of reporter mRNA through developed lipid nanoparticle have shown significant mRNA expression both in vitro and ex-vivo in pig kidneys. The correlation studies to distinguish healthy vs damaged kidneys will be further investigated.

We envision that the strategy can potentiate the application to various diseases and target tissues.
Original languageEnglish
Publication date11 Oct 2022
Number of pages1
Publication statusPublished - 11 Oct 2022
EventDanish RNA Society's 7th Annual Meeting - Aarhus University, iNANO House, Gustav Wieds Vej 14, 8000 Aarhus, Aarhus, Denmark
Duration: 11 Oct 202211 Oct 2022


ConferenceDanish RNA Society's 7th Annual Meeting
LocationAarhus University, iNANO House, Gustav Wieds Vej 14, 8000 Aarhus
Internet address


  • Kidney vitality prediction
  • RNA delivery
  • Lipid nanoparticles


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