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Review
. 2022 Apr 28;10(2):363-373.
doi: 10.14218/JCTH.2021.00219. Epub 2022 Jan 4.

Recent Progress and Future Direction for the Application of Multiomics Data in Clinical Liver Transplantation

Zhengtao Liu  1   2   3   4 , Jun Xu  2 , Shuping Que  5 , Lei Geng  2 , Lin Zhou  3   4 , Adil Mardinoglu  6   7 , Shusen Zheng  1   2   3   4
Affiliations
Review

Recent Progress and Future Direction for the Application of Multiomics Data in Clinical Liver Transplantation

Zhengtao Liu et al. J Clin Transl Hepatol. .

Abstract

Omics data address key issues in liver transplantation (LT) as the most effective therapeutic means for end-stage liver disease. The purpose of this study was to review the current application and future direction for omics in LT. We reviewed the use of multiomics to elucidate the pathogenesis leading to LT and prognostication. Future directions with respect to the use of omics in LT are also described based on perspectives of surgeons with experience in omics. Significant molecules were identified and summarized based on omics, with a focus on post-transplant liver fibrosis, early allograft dysfunction, tumor recurrence, and graft failure. We emphasized the importance omics for clinicians who perform LTs and prioritized the directions that should be established. We also outlined the ideal workflow for omics in LT. In step with advances in technology, the quality of omics data can be guaranteed using an improved algorithm at a lower price. Concerns should be addressed on the translational value of omics for better therapeutic effects in patients undergoing LT.

Keywords: EAD; Liver transplantation; Metabolomics; Multiomic analysis; Proteomics; Transcriptomics.

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Conflict of interest statement

The authors have no conflict of interests related to this publication.

Figures

Fig. 1
Fig. 1. Research strategy for individualized treatment of key issues in LT based on multiomics clinical data.
LT, liver transplantation.
Fig. 2
Fig. 2. Reanalysis of positive metabolites that associated with EAD in prior metabolomic studies.
(A) Pathway analysis based on positive metabolites associated with EAD occurrence in prior metabolomic studies. (B) Details of pathway on glycerophospholipid metabolism and positive metabolites associated with EAD. (C) Details of pathway on histidine metabolism and positive metabolites associated with EAD. (D) Details of pathway on purine metabolism and positive metabolites associated with EAD. EAD, early allograft dysfunction.
Fig. 3
Fig. 3. Matched scatter plot between sample snap freezing time* and RNA quality for transcriptomic analysis.
*Snap-freezing time indicates the period between the end of cold preservation and snap-freezing in liquid nitrogen. Correlation analysis was performed by Spearman’s test. Insignificant correlation was observed between snap-freezing time and RNA quality.
Fig. 4
Fig. 4. Recommended flowchart for multiomics study in LT cases.
LT, liver transplantation.
See this image and copyright information in PMC

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