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A Practical Model Evaluating Antiviral Cytokines by Natural Killer Cells in Treatment Naïve Patients with Chronic Hepatitis B Virus Infection

Natural killer (NK) cells play a major role in anti-viral immunity as first line defense during hepatitis B infection, particularly in untreated patients whose T cells functions are profoundly impaired. Cytokine interferon (IFN)-γ and tumor necrosis factor (TNF)-α produced by NK cells are important...

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Autores principales: Li, Xiaoyan, Gu, Yurong, Guo, Xiaobo, Gu, Lin, Zhou, Liang, Wu, Xiaojuan, Wang, Xueqin, Stamataki, Zania, Huang, Yuehua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5517634/
https://www.ncbi.nlm.nih.gov/pubmed/28725030
http://dx.doi.org/10.1038/s41598-017-06192-1
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author Li, Xiaoyan
Gu, Yurong
Guo, Xiaobo
Gu, Lin
Zhou, Liang
Wu, Xiaojuan
Wang, Xueqin
Stamataki, Zania
Huang, Yuehua
author_facet Li, Xiaoyan
Gu, Yurong
Guo, Xiaobo
Gu, Lin
Zhou, Liang
Wu, Xiaojuan
Wang, Xueqin
Stamataki, Zania
Huang, Yuehua
author_sort Li, Xiaoyan
collection PubMed
description Natural killer (NK) cells play a major role in anti-viral immunity as first line defense during hepatitis B infection, particularly in untreated patients whose T cells functions are profoundly impaired. Cytokine interferon (IFN)-γ and tumor necrosis factor (TNF)-α produced by NK cells are important anti-viral factors. However, there is lack of a quantifiable model to evaluate cytokine responses by NK cells. In this study, almost half of the patients (47.9%) beyond treatment criteria had high cytokine activity, although it was lower than those recommended for antiviral therapy (78.2%). Moreover, we developed a model that low levels of HBsAg, HBcAb, and albumin and high fibrosis values predicted strong antiviral cytokine production by NK cells. Based on the cut-off score (0.361) obtained from the multivariable model, patients with 67%, 8%, 92%, and 74% in immune-active (IA), immune-tolerant (IT), immune-inactive (IC), and grey zone (GZ), respectively, showed active antiviral cytokines produced by NK cells. These results suggest that those who possess activated cytokine responses beyond the current treatment criteria may have potential implications for the timing of antiviral therapy to achieve better virus control.
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spelling pubmed-55176342017-07-20 A Practical Model Evaluating Antiviral Cytokines by Natural Killer Cells in Treatment Naïve Patients with Chronic Hepatitis B Virus Infection Li, Xiaoyan Gu, Yurong Guo, Xiaobo Gu, Lin Zhou, Liang Wu, Xiaojuan Wang, Xueqin Stamataki, Zania Huang, Yuehua Sci Rep Article Natural killer (NK) cells play a major role in anti-viral immunity as first line defense during hepatitis B infection, particularly in untreated patients whose T cells functions are profoundly impaired. Cytokine interferon (IFN)-γ and tumor necrosis factor (TNF)-α produced by NK cells are important anti-viral factors. However, there is lack of a quantifiable model to evaluate cytokine responses by NK cells. In this study, almost half of the patients (47.9%) beyond treatment criteria had high cytokine activity, although it was lower than those recommended for antiviral therapy (78.2%). Moreover, we developed a model that low levels of HBsAg, HBcAb, and albumin and high fibrosis values predicted strong antiviral cytokine production by NK cells. Based on the cut-off score (0.361) obtained from the multivariable model, patients with 67%, 8%, 92%, and 74% in immune-active (IA), immune-tolerant (IT), immune-inactive (IC), and grey zone (GZ), respectively, showed active antiviral cytokines produced by NK cells. These results suggest that those who possess activated cytokine responses beyond the current treatment criteria may have potential implications for the timing of antiviral therapy to achieve better virus control. Nature Publishing Group UK 2017-07-19 /pmc/articles/PMC5517634/ /pubmed/28725030 http://dx.doi.org/10.1038/s41598-017-06192-1 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Li, Xiaoyan
Gu, Yurong
Guo, Xiaobo
Gu, Lin
Zhou, Liang
Wu, Xiaojuan
Wang, Xueqin
Stamataki, Zania
Huang, Yuehua
A Practical Model Evaluating Antiviral Cytokines by Natural Killer Cells in Treatment Naïve Patients with Chronic Hepatitis B Virus Infection
title A Practical Model Evaluating Antiviral Cytokines by Natural Killer Cells in Treatment Naïve Patients with Chronic Hepatitis B Virus Infection
title_full A Practical Model Evaluating Antiviral Cytokines by Natural Killer Cells in Treatment Naïve Patients with Chronic Hepatitis B Virus Infection
title_fullStr A Practical Model Evaluating Antiviral Cytokines by Natural Killer Cells in Treatment Naïve Patients with Chronic Hepatitis B Virus Infection
title_full_unstemmed A Practical Model Evaluating Antiviral Cytokines by Natural Killer Cells in Treatment Naïve Patients with Chronic Hepatitis B Virus Infection
title_short A Practical Model Evaluating Antiviral Cytokines by Natural Killer Cells in Treatment Naïve Patients with Chronic Hepatitis B Virus Infection
title_sort practical model evaluating antiviral cytokines by natural killer cells in treatment naïve patients with chronic hepatitis b virus infection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5517634/
https://www.ncbi.nlm.nih.gov/pubmed/28725030
http://dx.doi.org/10.1038/s41598-017-06192-1
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