Cargando…
Serum proteomic predicts effectiveness and reveals potential biomarkers for complications in liver transplant patients
Sophisticated postoperative complications limit the long-term clinical success of liver transplantation. Hence, early identification of biomarkers is essential for graft and patient survival. High-throughput serum proteomics technologies provide an opportunity to identify diagnostic and prognostic b...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343480/ https://www.ncbi.nlm.nih.gov/pubmed/32530819 http://dx.doi.org/10.18632/aging.103381 |
_version_ | 1783555766798516224 |
---|---|
author | Wang, Wenjing Wang, Bo Liu, Chang Yan, Jing Xiong, Xiaofan Wang, Xiaofei Yang, Juan Guo, Bo Huang, Chen |
author_facet | Wang, Wenjing Wang, Bo Liu, Chang Yan, Jing Xiong, Xiaofan Wang, Xiaofei Yang, Juan Guo, Bo Huang, Chen |
author_sort | Wang, Wenjing |
collection | PubMed |
description | Sophisticated postoperative complications limit the long-term clinical success of liver transplantation. Hence, early identification of biomarkers is essential for graft and patient survival. High-throughput serum proteomics technologies provide an opportunity to identify diagnostic and prognostic biomarkers. This study is aimed to identify serum diagnosis biomarkers for complications and monitor effectiveness. Serum samples from 10 paired pre- and post-liver transplant patients, 10 acute rejection (AR) patients, 9 ischemic-type biliary lesion (ITBL) patients, and 10 healthy controls were screened using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) to explore divergence in polypeptide. Then, we used ELISA and western blot analysis to validate the expression of these potential biomarkers, and studied the correlation of proteomic profiles with clinical parameters. ACLY, FGA, and APOA1 were significantly lower in pre-operative patients compared with healthy controls, and these patients had modest recovery after transplantation. Downregulation of both, ACLY and FGA, was also observed in AR and ITBL patients. Furthermore, bioinformatics analysis was performed and the results suggested that the identified proteins were involved in glucolipid metabolism and the clotting cascade. Together, these findings suggest that ACLY, FGA, and APOA1 could be novel non-invasive and early biomarkers to detect complications and predict effectiveness of liver transplantation. |
format | Online Article Text |
id | pubmed-7343480 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-73434802020-07-15 Serum proteomic predicts effectiveness and reveals potential biomarkers for complications in liver transplant patients Wang, Wenjing Wang, Bo Liu, Chang Yan, Jing Xiong, Xiaofan Wang, Xiaofei Yang, Juan Guo, Bo Huang, Chen Aging (Albany NY) Research Paper Sophisticated postoperative complications limit the long-term clinical success of liver transplantation. Hence, early identification of biomarkers is essential for graft and patient survival. High-throughput serum proteomics technologies provide an opportunity to identify diagnostic and prognostic biomarkers. This study is aimed to identify serum diagnosis biomarkers for complications and monitor effectiveness. Serum samples from 10 paired pre- and post-liver transplant patients, 10 acute rejection (AR) patients, 9 ischemic-type biliary lesion (ITBL) patients, and 10 healthy controls were screened using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) to explore divergence in polypeptide. Then, we used ELISA and western blot analysis to validate the expression of these potential biomarkers, and studied the correlation of proteomic profiles with clinical parameters. ACLY, FGA, and APOA1 were significantly lower in pre-operative patients compared with healthy controls, and these patients had modest recovery after transplantation. Downregulation of both, ACLY and FGA, was also observed in AR and ITBL patients. Furthermore, bioinformatics analysis was performed and the results suggested that the identified proteins were involved in glucolipid metabolism and the clotting cascade. Together, these findings suggest that ACLY, FGA, and APOA1 could be novel non-invasive and early biomarkers to detect complications and predict effectiveness of liver transplantation. Impact Journals 2020-06-12 /pmc/articles/PMC7343480/ /pubmed/32530819 http://dx.doi.org/10.18632/aging.103381 Text en Copyright © 2020 Wang et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Wang, Wenjing Wang, Bo Liu, Chang Yan, Jing Xiong, Xiaofan Wang, Xiaofei Yang, Juan Guo, Bo Huang, Chen Serum proteomic predicts effectiveness and reveals potential biomarkers for complications in liver transplant patients |
title | Serum proteomic predicts effectiveness and reveals potential biomarkers for complications in liver transplant patients |
title_full | Serum proteomic predicts effectiveness and reveals potential biomarkers for complications in liver transplant patients |
title_fullStr | Serum proteomic predicts effectiveness and reveals potential biomarkers for complications in liver transplant patients |
title_full_unstemmed | Serum proteomic predicts effectiveness and reveals potential biomarkers for complications in liver transplant patients |
title_short | Serum proteomic predicts effectiveness and reveals potential biomarkers for complications in liver transplant patients |
title_sort | serum proteomic predicts effectiveness and reveals potential biomarkers for complications in liver transplant patients |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343480/ https://www.ncbi.nlm.nih.gov/pubmed/32530819 http://dx.doi.org/10.18632/aging.103381 |
work_keys_str_mv | AT wangwenjing serumproteomicpredictseffectivenessandrevealspotentialbiomarkersforcomplicationsinlivertransplantpatients AT wangbo serumproteomicpredictseffectivenessandrevealspotentialbiomarkersforcomplicationsinlivertransplantpatients AT liuchang serumproteomicpredictseffectivenessandrevealspotentialbiomarkersforcomplicationsinlivertransplantpatients AT yanjing serumproteomicpredictseffectivenessandrevealspotentialbiomarkersforcomplicationsinlivertransplantpatients AT xiongxiaofan serumproteomicpredictseffectivenessandrevealspotentialbiomarkersforcomplicationsinlivertransplantpatients AT wangxiaofei serumproteomicpredictseffectivenessandrevealspotentialbiomarkersforcomplicationsinlivertransplantpatients AT yangjuan serumproteomicpredictseffectivenessandrevealspotentialbiomarkersforcomplicationsinlivertransplantpatients AT guobo serumproteomicpredictseffectivenessandrevealspotentialbiomarkersforcomplicationsinlivertransplantpatients AT huangchen serumproteomicpredictseffectivenessandrevealspotentialbiomarkersforcomplicationsinlivertransplantpatients |