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Improving liver transplant outcomes with transplant-omics and network biology

  • Joseph Scarpa

Research output: Contribution to journalReview articlepeer-review

2 Scopus citations

Abstract

Purpose of reviewMolecular omics data is increasingly ubiquitous throughout medicine. In organ transplantation, recent large-scale research efforts are generating the 'transplant-ome' - the entire set of molecular omics data, including the genome, transcriptome, proteome, and metabolome. Importantly, early studies in anesthesiology have demonstrated how perioperative interventions alter molecular profiles in various patient populations. The next step for anesthesiologists and intensivists will be to tailor perioperative care to the transplant-ome of individual liver transplant patients.Recent findingsIn liver transplant patients, elements of the transplant-ome predict complications and point to novel interventions. Importantly, molecular profiles of both the donor organ and recipient contribute to this risk, and interventions like normothermic machine perfusion influence these profiles. As we can now measure various omics molecules simultaneously, we can begin to understand how these molecules interact to form molecular networks and emerging technologies offer noninvasive and continuous ways to measure these networks throughout the perioperative period. Molecules that regulate these networks are likely mediators of complications and actionable clinical targets throughout the perioperative period.SummaryThe transplant-ome can be used to tailor perioperative care to the individual liver transplant patient. Monitoring molecular networks continuously and noninvasively would provide new opportunities to optimize perioperative management.

Original languageEnglish
Pages (from-to)412-418
Number of pages7
JournalCurrent Opinion in Organ Transplantation
Volume28
Issue number6
DOIs
StatePublished - 1 Dec 2023
Externally publishedYes

Keywords

  • genomics
  • machine learning
  • network biology
  • precision medicine

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