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Predicting dyslipidemia after liver transplantation: A significant role of recipient metabolic inflammation profile

BACKGROUND: Post-transplant dyslipidemia (PTDL) is a common complication in liver recipients and can cause morbidity and threaten graft function. The crosstalk between metabolic inflammation and dyslipidemia has been recently revealed. However, the role of grafts’ and recipients’ metabolic status in...

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Autores principales: Huang, Hai-Tao, Zhang, Xue-You, Zhang, Cheng, Ling, Qi, Zheng, Shu-Sen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7243645/
https://www.ncbi.nlm.nih.gov/pubmed/32476799
http://dx.doi.org/10.3748/wjg.v26.i19.2374
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author Huang, Hai-Tao
Zhang, Xue-You
Zhang, Cheng
Ling, Qi
Zheng, Shu-Sen
author_facet Huang, Hai-Tao
Zhang, Xue-You
Zhang, Cheng
Ling, Qi
Zheng, Shu-Sen
author_sort Huang, Hai-Tao
collection PubMed
description BACKGROUND: Post-transplant dyslipidemia (PTDL) is a common complication in liver recipients and can cause morbidity and threaten graft function. The crosstalk between metabolic inflammation and dyslipidemia has been recently revealed. However, the role of grafts’ and recipients’ metabolic status in the development of PTDL has not been evaluated. AIM: To investigate the association of recipients’ metabolic inflammation status with PTDL and construct a predictive model. METHODS: A total of 396 adult patients who received primary liver transplantation between 2015 and 2017 were enrolled. Metabolomics and cytokines were analyzed using recipients’ pre-transplant peripheral blood in a training set (n = 72). An integrated prediction model was established according to the clinical risk factors and metabolic inflammation compounds and further verified in a validation set (n = 144). RESULTS: The serum lipid profile took 3 mo to reach homeostasis after liver transplantation. A total of 278 (70.2%) liver recipients developed PTDL during a follow-up period of 1.78 (1.00, 2.97) years. The PTDL group showed a significantly lower tumor-free survival and overall survival than the non-PTDL group in patients with hepatocellular carcinoma (n = 169). The metabolomic analysis showed that metabolic features discriminating between the PTDL and non-PTDL groups were associated with lipid and glucose metabolism-associated pathways. Among metabolites and cytokines differentially expressed between the two groups, interleukin-12 (p70) showed the best diagnostic accuracy and significantly increased the predictive value when it was incorporated into the clinical model in both training and validation sets. CONCLUSION: Recipients’ pre-transplant serum interleukin-12 (p70) level is associated with the risk of PTDL and has potential clinical value for predicting PTDL.
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spelling pubmed-72436452020-05-30 Predicting dyslipidemia after liver transplantation: A significant role of recipient metabolic inflammation profile Huang, Hai-Tao Zhang, Xue-You Zhang, Cheng Ling, Qi Zheng, Shu-Sen World J Gastroenterol Clinical And Translational Research BACKGROUND: Post-transplant dyslipidemia (PTDL) is a common complication in liver recipients and can cause morbidity and threaten graft function. The crosstalk between metabolic inflammation and dyslipidemia has been recently revealed. However, the role of grafts’ and recipients’ metabolic status in the development of PTDL has not been evaluated. AIM: To investigate the association of recipients’ metabolic inflammation status with PTDL and construct a predictive model. METHODS: A total of 396 adult patients who received primary liver transplantation between 2015 and 2017 were enrolled. Metabolomics and cytokines were analyzed using recipients’ pre-transplant peripheral blood in a training set (n = 72). An integrated prediction model was established according to the clinical risk factors and metabolic inflammation compounds and further verified in a validation set (n = 144). RESULTS: The serum lipid profile took 3 mo to reach homeostasis after liver transplantation. A total of 278 (70.2%) liver recipients developed PTDL during a follow-up period of 1.78 (1.00, 2.97) years. The PTDL group showed a significantly lower tumor-free survival and overall survival than the non-PTDL group in patients with hepatocellular carcinoma (n = 169). The metabolomic analysis showed that metabolic features discriminating between the PTDL and non-PTDL groups were associated with lipid and glucose metabolism-associated pathways. Among metabolites and cytokines differentially expressed between the two groups, interleukin-12 (p70) showed the best diagnostic accuracy and significantly increased the predictive value when it was incorporated into the clinical model in both training and validation sets. CONCLUSION: Recipients’ pre-transplant serum interleukin-12 (p70) level is associated with the risk of PTDL and has potential clinical value for predicting PTDL. Baishideng Publishing Group Inc 2020-05-21 2020-05-21 /pmc/articles/PMC7243645/ /pubmed/32476799 http://dx.doi.org/10.3748/wjg.v26.i19.2374 Text en ©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.
spellingShingle Clinical And Translational Research
Huang, Hai-Tao
Zhang, Xue-You
Zhang, Cheng
Ling, Qi
Zheng, Shu-Sen
Predicting dyslipidemia after liver transplantation: A significant role of recipient metabolic inflammation profile
title Predicting dyslipidemia after liver transplantation: A significant role of recipient metabolic inflammation profile
title_full Predicting dyslipidemia after liver transplantation: A significant role of recipient metabolic inflammation profile
title_fullStr Predicting dyslipidemia after liver transplantation: A significant role of recipient metabolic inflammation profile
title_full_unstemmed Predicting dyslipidemia after liver transplantation: A significant role of recipient metabolic inflammation profile
title_short Predicting dyslipidemia after liver transplantation: A significant role of recipient metabolic inflammation profile
title_sort predicting dyslipidemia after liver transplantation: a significant role of recipient metabolic inflammation profile
topic Clinical And Translational Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7243645/
https://www.ncbi.nlm.nih.gov/pubmed/32476799
http://dx.doi.org/10.3748/wjg.v26.i19.2374
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