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一项脂质组学研究揭示了与活体肝移植早期移植物功能障碍相关的脂质特征。

A Lipidomics Study Reveals Lipid Signatures Associated with Early Allograft Dysfunction in Living Donor Liver Transplantation.

作者信息

Tsai Hsin-I, Lo Chi-Jen, Zheng Chih-Wen, Lee Chao-Wei, Lee Wei-Chen, Lin Jr-Rung, Shiao Ming-Shi, Cheng Mei-Ling, Yu Huang-Ping

机构信息

Department of Anesthesiology, Chang Gung Memorial Hospital, Taoyuan 333, Taiwan.

Graduate Institute of Clinical Medical Sciences, Chang Gung University, Taoyuan 333, Taiwan.

出版信息

J Clin Med. 2018 Dec 29;8(1):30. doi: 10.3390/jcm8010030.

Abstract

Liver transplantation has become the ultimate treatment for patients with end stage liver disease. However, early allograft dysfunction (EAD) has been associated with allograft loss or mortality after transplantation. We aim to utilize a metabolomic platform to identify novel biomarkers for more accurate correlation with EAD using blood samples collected from 51 recipients undergoing living donor liver transplantation (LDLT) by 1H-nuclear magnetic resonance spectroscopy (NMR) and liquid chromatography coupled with mass spectrometry (LC-MS). Principal component analysis (PCA) and orthogonal projection to latent structures-discriminant analysis (OPLS-DA) were used to search for a relationship between the metabolomic profiles and the presence of EAD.Cholesteryl esters (CEs), triacylglycerols (TGs), phosphatidylcholines (PCs) and lysophosphatidylcholine (lysoPC) were identified in association with EAD and a combination of cholesterol oleate, PC (16:0/16:0), and lysoPC (16:0) gave an optimal area under the curve (AUC) of 0.9487 and 0.7884 in the prediction of EAD and in-hospital mortality, respectively after LDLT. Such biomarkers may add as a potential clinical panel for the prediction of graft function and mortality after LDLT.

摘要

肝移植已成为终末期肝病患者的终极治疗方法。然而,移植后早期移植物功能障碍(EAD)与移植物丢失或死亡相关。我们旨在利用代谢组学平台,通过1H-核磁共振波谱(NMR)和液相色谱-质谱联用(LC-MS),从51例接受活体肝移植(LDLT)的受者采集的血样中鉴定新的生物标志物,以更准确地与EAD相关联。主成分分析(PCA)和正交投影到潜在结构判别分析(OPLS-DA)用于寻找代谢组学谱与EAD存在之间的关系。已确定胆固醇酯(CEs)、三酰甘油(TGs)、磷脂酰胆碱(PCs)和溶血磷脂酰胆碱(lysoPC)与EAD相关,油酸胆固醇、PC(16:0/16:0)和lysoPC(16:0)的组合在预测LDLT后EAD和住院死亡率时,分别给出了最佳曲线下面积(AUC)为0.9487和0.7884。此类生物标志物可能作为预测LDLT后移植物功能和死亡率的潜在临床指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e089/6352109/68a774daee7b/jcm-08-00030-g001.jpg

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