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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2020
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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. |
format | Online Article Text |
id | pubmed-7243645 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
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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