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MAIT cells predict long-term prognosis in liver failure patients

Liver failure (LF) is a life-threatening clinical syndrome characterized by intense systemic inflammation and organ failure(s), leading to a high mortality rate. The pathogenesis of LF is multifactorial, immune response, and gut bacterial translocation are thought to be major contributing factors. M...

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Autores principales: Cheng, Tiao-Chun, Xue, Hong, Li, Han, Liu, Yi-Cun, Tian, Li-Jun, Bian, Zhao-Lian, Chen, Feng-Song
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410595/
https://www.ncbi.nlm.nih.gov/pubmed/36042623
http://dx.doi.org/10.1097/MD.0000000000029809
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author Cheng, Tiao-Chun
Xue, Hong
Li, Han
Liu, Yi-Cun
Tian, Li-Jun
Bian, Zhao-Lian
Chen, Feng-Song
author_facet Cheng, Tiao-Chun
Xue, Hong
Li, Han
Liu, Yi-Cun
Tian, Li-Jun
Bian, Zhao-Lian
Chen, Feng-Song
author_sort Cheng, Tiao-Chun
collection PubMed
description Liver failure (LF) is a life-threatening clinical syndrome characterized by intense systemic inflammation and organ failure(s), leading to a high mortality rate. The pathogenesis of LF is multifactorial, immune response, and gut bacterial translocation are thought to be major contributing factors. Mucosal-associated invariant T (MAIT) cells play a critical role in immune response and gut bacterial translocation. We aimed to investigate changes of the MAIT cell ratio in patients with LF and to explore the predictive value for long-term prognosis in patients with LF. MATERIAL AND METHOD: We recruited 75 patients with LF from Nantong Third People’s Hospital, isolated peripheral blood mononuclear cells, and detected the proportion of circulating MAIT cells by flow cytometry. Statistical analyses were performed using the GraphPad Prism software. RESULTS: Our data showed that the proportion of MAIT cells alterations was independent of the cause of viral infection in patients with LF. Kaplan-Meier survival analysis showed that LF patients with low level of MAIT cells had poor long-term prognosis. The area under the receiver operating characteristic curve of the MAIT cell proportion was larger than that of the Model for End-Stage Liver Disease (MELD) score. More importantly, the combination of MAIT cell proportion and MELD score had a better effect in predicting long-term prognosis of LF patients than any single index (AUC = 0.91, 95% CI:0.84–0.97), and multivariate logistic regression analysis indicated that the circulating MAIT cell proportion was an independent risk factor for LF. CONCLUSION: The proportion of MAIT cells in PBMC is an outstanding predictor for the long-term prognosis in patients with LF.
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spelling pubmed-94105952022-08-26 MAIT cells predict long-term prognosis in liver failure patients Cheng, Tiao-Chun Xue, Hong Li, Han Liu, Yi-Cun Tian, Li-Jun Bian, Zhao-Lian Chen, Feng-Song Medicine (Baltimore) Research Article Liver failure (LF) is a life-threatening clinical syndrome characterized by intense systemic inflammation and organ failure(s), leading to a high mortality rate. The pathogenesis of LF is multifactorial, immune response, and gut bacterial translocation are thought to be major contributing factors. Mucosal-associated invariant T (MAIT) cells play a critical role in immune response and gut bacterial translocation. We aimed to investigate changes of the MAIT cell ratio in patients with LF and to explore the predictive value for long-term prognosis in patients with LF. MATERIAL AND METHOD: We recruited 75 patients with LF from Nantong Third People’s Hospital, isolated peripheral blood mononuclear cells, and detected the proportion of circulating MAIT cells by flow cytometry. Statistical analyses were performed using the GraphPad Prism software. RESULTS: Our data showed that the proportion of MAIT cells alterations was independent of the cause of viral infection in patients with LF. Kaplan-Meier survival analysis showed that LF patients with low level of MAIT cells had poor long-term prognosis. The area under the receiver operating characteristic curve of the MAIT cell proportion was larger than that of the Model for End-Stage Liver Disease (MELD) score. More importantly, the combination of MAIT cell proportion and MELD score had a better effect in predicting long-term prognosis of LF patients than any single index (AUC = 0.91, 95% CI:0.84–0.97), and multivariate logistic regression analysis indicated that the circulating MAIT cell proportion was an independent risk factor for LF. CONCLUSION: The proportion of MAIT cells in PBMC is an outstanding predictor for the long-term prognosis in patients with LF. Lippincott Williams & Wilkins 2022-08-26 /pmc/articles/PMC9410595/ /pubmed/36042623 http://dx.doi.org/10.1097/MD.0000000000029809 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal.
spellingShingle Research Article
Cheng, Tiao-Chun
Xue, Hong
Li, Han
Liu, Yi-Cun
Tian, Li-Jun
Bian, Zhao-Lian
Chen, Feng-Song
MAIT cells predict long-term prognosis in liver failure patients
title MAIT cells predict long-term prognosis in liver failure patients
title_full MAIT cells predict long-term prognosis in liver failure patients
title_fullStr MAIT cells predict long-term prognosis in liver failure patients
title_full_unstemmed MAIT cells predict long-term prognosis in liver failure patients
title_short MAIT cells predict long-term prognosis in liver failure patients
title_sort mait cells predict long-term prognosis in liver failure patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410595/
https://www.ncbi.nlm.nih.gov/pubmed/36042623
http://dx.doi.org/10.1097/MD.0000000000029809
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