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A Lipidomics Study Reveals Lipid Signatures Associated with Early Allograft Dysfunction in Living Donor Liver Transplantation
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 acc...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6352109/ https://www.ncbi.nlm.nih.gov/pubmed/30597989 http://dx.doi.org/10.3390/jcm8010030 |
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author | 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 |
author_facet | 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 |
author_sort | Tsai, Hsin-I |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6352109 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63521092019-02-01 A Lipidomics Study Reveals Lipid Signatures Associated with Early Allograft Dysfunction in Living Donor Liver Transplantation 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 J Clin Med Article 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. MDPI 2018-12-29 /pmc/articles/PMC6352109/ /pubmed/30597989 http://dx.doi.org/10.3390/jcm8010030 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article 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 A Lipidomics Study Reveals Lipid Signatures Associated with Early Allograft Dysfunction in Living Donor Liver Transplantation |
title | A Lipidomics Study Reveals Lipid Signatures Associated with Early Allograft Dysfunction in Living Donor Liver Transplantation |
title_full | A Lipidomics Study Reveals Lipid Signatures Associated with Early Allograft Dysfunction in Living Donor Liver Transplantation |
title_fullStr | A Lipidomics Study Reveals Lipid Signatures Associated with Early Allograft Dysfunction in Living Donor Liver Transplantation |
title_full_unstemmed | A Lipidomics Study Reveals Lipid Signatures Associated with Early Allograft Dysfunction in Living Donor Liver Transplantation |
title_short | A Lipidomics Study Reveals Lipid Signatures Associated with Early Allograft Dysfunction in Living Donor Liver Transplantation |
title_sort | lipidomics study reveals lipid signatures associated with early allograft dysfunction in living donor liver transplantation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6352109/ https://www.ncbi.nlm.nih.gov/pubmed/30597989 http://dx.doi.org/10.3390/jcm8010030 |
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