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Lipidomic signatures of post-hepatectomy liver failure using porcine hepatectomy models

Authors
Jo, Hye-SungKim, Hae A.Lee, Jong CheolYoon, Kyung ChulYoon, Young-InChoi, Yoon YoungSeok, Jin-IMoon, Myeong HeeKim, Dong-Sik
Issue Date
11월-2020
Publisher
AME PUBL CO
Keywords
Biomarkers; liver failure; liver regeneration; lipidomics
Citation
ANNALS OF TRANSLATIONAL MEDICINE, v.8, no.21
Indexed
SCIE
Journal Title
ANNALS OF TRANSLATIONAL MEDICINE
Volume
8
Number
21
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/51978
DOI
10.21037/atm-20-3596
ISSN
2305-5839
Abstract
Background: Clinical diagnosis of post-hepatectomy liver failure (PHLF) can only be made on or after the 5th postoperative day. Biomarker for early diagnosis is considered as a critical unmet need. Methods: Twenty domestic female crossbreed (Yorkshire-landrace and duroc) pigs underwent sham operation (n=6), 70% (n=7) and 90% (n=7) partial hepatectomy (PH). A comprehensive lipidomic analysis was conducted using sera collected at pre-operation (PO), 14, 30, and 48 h after PH using nanoflow ultrahigh performance liquid chromatography-electrospray ionization-tandem mass spectrometry. Results: Of the 184 quantified lipids, 14 lipids showed significant differences between the two resection groups starting at 30 h after surgery. Four phosphatidylcholine (PC) plasmalogen species (P-16:0/16:0, P-18:0/18:2, P-18:0/20:4, and P-18:0/22:6) and PC 32:2 significantly increased in the 90% PH group while these returned to PO level after 30 h in the 70% PH group, presumably implying the failure markers. In contrast, eight triacylglycerol (TG) species (40:0, 42:1, 42:0, 44:1, 44:2, 46:1, 46:2, and 48:3) and sphingomyelin d18:1/20:0 showed an opposite trend, wherein they significantly decreased in the 90% PH group while these in the 70% PH group were abruptly increased until 30 h but returned to near PO levels at 48 h, implying the recovery markers. Same trends could also be observed in the level of whole lipid classes of PC plasmalogens and TGs, in addition to selected individual lipid species. Conclusions: Characteristic lipidomic signatures of PHLF could be identified using large animal models. These candidates have a potential to serve as a tool for early diagnosis and may open new paths to the study to overcome PHLF.
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