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Integrated transcriptomics and histopathology approach identifies a subset of rejected donor livers with potential suitability for transplantation

  • Ankita Srivastava
  • , Alexandra Manchel
  • , John Waters
  • , Manju Ambelil
  • , Benjamin K. Barnhart
  • , Jan B. Hoek
  • , Ashesh P. Shah
  • , Rajanikanth Vadigepalli
  • Thomas Jefferson University

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

Background: Liver transplantation is an effective treatment for liver failure. There is a large unmet demand, even as not all donated livers are transplanted. The clinical selection criteria for donor livers based on histopathological evaluation and liver function tests are variable. We integrated transcriptomics and histopathology to characterize donor liver biopsies obtained at the time of organ recovery. We performed RNA sequencing as well as manual and artificial intelligence-based histopathology (10 accepted and 21 rejected for transplantation). Results: We identified two transcriptomically distinct rejected subsets (termed rejected-1 and rejected-2), where rejected-2 exhibited a near-complete transcriptomic overlap with the accepted livers, suggesting acceptability from a molecular standpoint. Liver metabolic functional genes were similarly upregulated, and extracellular matrix genes were similarly downregulated in the accepted and rejected-2 groups compared to rejected-1. The transcriptomic pattern of the rejected-2 subset was enriched for a gene expression signature of graft success post-transplantation. Serum AST, ALT, and total bilirubin levels showed similar overlapping patterns. Additional histopathological filtering identified cases with borderline scores and extensive molecular overlap with accepted donor livers. Conclusions: Our integrated approach identified a subset of rejected donor livers that are likely suitable for transplantation, demonstrating the potential to expand the pool of transplantable livers.

Original languageEnglish
Article number437
JournalBMC Genomics
Volume25
Issue number1
DOIs
StatePublished - Dec 2024
Externally publishedYes

Keywords

  • Artificial intelligence-based image analysis
  • Functional enrichment
  • Histopathological scoring
  • Human donor liver
  • Liver transplantation
  • RNAseq

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