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Subnormothermic machine perfusion of steatotic livers results in increased energy charge at the cost of anti-oxidant capacity compared to normothermic perfusion

  • Negin Karimian*
  • , Siavash Raigani*
  • , Viola Huang*
  • , Sonal Nagpal*
  • , Ehab O.A. Hafiz*
  • , Irene Beijert*
  • , Paria Mahboub*
  • , Robert J. Porte*
  • , Korkut Uygun*
  • , Martin Yarmush*
  • , Heidi Yeh*
  • *Corresponding author for this work
  • Shriners Hospitals for Children
  • Theodore Bilharz Research Institute
  • University Medical Centre Groningen
  • Rutgers - The State University of New Jersey, New Brunswick
  • Harvard Medical School

Research output: Contribution to journalArticleAcademicpeer-review

20 Citations (Scopus)
31 Downloads (Pure)

Abstract

There continues to be significant debate regarding the most effective mode of ex situ machine perfusion of livers for transplantation. Subnormothermic (SNMP) and normothermic machine perfusion (NMP) are two methods with different benefits. We examined the metabolomic profiles of discarded steatotic human livers during three hours of subnormothermic or normothermic machine perfusion. Steatotic livers regenerate higher stores of ATP during SNMP than NMP. However, there is a significant depletion of available glutathione during SNMP, likely due to an inability to overcome the high energy threshold needed to synthesize glutathione. This highlights the increased oxidative stress apparent in steatotic livers. Rescue of discarded steatotic livers with machine perfusion may require the optimization of redox status through repletion or supplementation of reducing agents.

Original languageEnglish
Article number246
Pages (from-to)1-13
Number of pages13
JournalMetabolites
Volume9
Issue number11
DOIs
Publication statusPublished - 24 Oct 2019
Externally publishedYes

Bibliographical note

Funding Information:
Funding: Funding from the US National Institutes of Health (grants R01DK096075, R01DK107875, R21EB020819, R01DK084053 and R01DK114506) and support from the Shriners Hospitals for Children is gratefully acknowledged.

Publisher Copyright:
© 2019 by the authors. Licensee MDPI, Basel, Switzerland.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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