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Circulating human cytomegalovirus-encoded HCMV-miR-US4-1 as an indicator for predicting the efficacy of IFNα treatment in chronic hepatitis B patients

The efficacy of interferon α (IFNα) therapy for chronic hepatitis B (CHB) patients is about 40% and often associates with adverse side-effects, thus identification of an easy accessible biomarker that can predict the outcome of IFNα treatment for individual CHB patients would be greatly helpful. Rec...

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Autores principales: Pan, Yi, Wang, Nan, Zhou, Zhenxian, Liang, Hongwei, Pan, Chaoyun, Zhu, Dihan, Liu, Fenyong, Zhang, Chen-Yu, Zhang, Yujing, Zen, Ke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4785337/
https://www.ncbi.nlm.nih.gov/pubmed/26961899
http://dx.doi.org/10.1038/srep23007
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author Pan, Yi
Wang, Nan
Zhou, Zhenxian
Liang, Hongwei
Pan, Chaoyun
Zhu, Dihan
Liu, Fenyong
Zhang, Chen-Yu
Zhang, Yujing
Zen, Ke
author_facet Pan, Yi
Wang, Nan
Zhou, Zhenxian
Liang, Hongwei
Pan, Chaoyun
Zhu, Dihan
Liu, Fenyong
Zhang, Chen-Yu
Zhang, Yujing
Zen, Ke
author_sort Pan, Yi
collection PubMed
description The efficacy of interferon α (IFNα) therapy for chronic hepatitis B (CHB) patients is about 40% and often associates with adverse side-effects, thus identification of an easy accessible biomarker that can predict the outcome of IFNα treatment for individual CHB patients would be greatly helpful. Recent reports by us and others show that microRNAs encoded by human cytomegalovirus (HCMV) were readily detected in human serum and can interfere with lymphocyte responses required by IFNα therapeutic effect. We thus postulate that differential expression profile of serum HCMV miRNAs in CHB patients may serve as indicator to predict the efficacy of IFNα treatment for CHB patients. Blood was drawn from 56 individual CHB patients prior to IFNα treatment. By quantifying 13 HCMV miRNAs in serum samples, we found that the levels of HCMV-miR-US4-1 and HCMV-miR-UL-148D were significantly higher in IFNα-responsive group than in IFNα-non-responsive group. In a prospective study of 96 new CHB patients, serum level of HCMV-miR-US4-1 alone classified those who were and were not responsive to IFN-α treatment with correct rate of 84.00% and 71.74%, respectively. In conclusion, our results demonstrate that serum HCMV-miR-US4-1 can serve as a novel biomarker for predicting the outcome of IFNα treatment in CHB patients.
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spelling pubmed-47853372016-03-11 Circulating human cytomegalovirus-encoded HCMV-miR-US4-1 as an indicator for predicting the efficacy of IFNα treatment in chronic hepatitis B patients Pan, Yi Wang, Nan Zhou, Zhenxian Liang, Hongwei Pan, Chaoyun Zhu, Dihan Liu, Fenyong Zhang, Chen-Yu Zhang, Yujing Zen, Ke Sci Rep Article The efficacy of interferon α (IFNα) therapy for chronic hepatitis B (CHB) patients is about 40% and often associates with adverse side-effects, thus identification of an easy accessible biomarker that can predict the outcome of IFNα treatment for individual CHB patients would be greatly helpful. Recent reports by us and others show that microRNAs encoded by human cytomegalovirus (HCMV) were readily detected in human serum and can interfere with lymphocyte responses required by IFNα therapeutic effect. We thus postulate that differential expression profile of serum HCMV miRNAs in CHB patients may serve as indicator to predict the efficacy of IFNα treatment for CHB patients. Blood was drawn from 56 individual CHB patients prior to IFNα treatment. By quantifying 13 HCMV miRNAs in serum samples, we found that the levels of HCMV-miR-US4-1 and HCMV-miR-UL-148D were significantly higher in IFNα-responsive group than in IFNα-non-responsive group. In a prospective study of 96 new CHB patients, serum level of HCMV-miR-US4-1 alone classified those who were and were not responsive to IFN-α treatment with correct rate of 84.00% and 71.74%, respectively. In conclusion, our results demonstrate that serum HCMV-miR-US4-1 can serve as a novel biomarker for predicting the outcome of IFNα treatment in CHB patients. Nature Publishing Group 2016-03-10 /pmc/articles/PMC4785337/ /pubmed/26961899 http://dx.doi.org/10.1038/srep23007 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Pan, Yi
Wang, Nan
Zhou, Zhenxian
Liang, Hongwei
Pan, Chaoyun
Zhu, Dihan
Liu, Fenyong
Zhang, Chen-Yu
Zhang, Yujing
Zen, Ke
Circulating human cytomegalovirus-encoded HCMV-miR-US4-1 as an indicator for predicting the efficacy of IFNα treatment in chronic hepatitis B patients
title Circulating human cytomegalovirus-encoded HCMV-miR-US4-1 as an indicator for predicting the efficacy of IFNα treatment in chronic hepatitis B patients
title_full Circulating human cytomegalovirus-encoded HCMV-miR-US4-1 as an indicator for predicting the efficacy of IFNα treatment in chronic hepatitis B patients
title_fullStr Circulating human cytomegalovirus-encoded HCMV-miR-US4-1 as an indicator for predicting the efficacy of IFNα treatment in chronic hepatitis B patients
title_full_unstemmed Circulating human cytomegalovirus-encoded HCMV-miR-US4-1 as an indicator for predicting the efficacy of IFNα treatment in chronic hepatitis B patients
title_short Circulating human cytomegalovirus-encoded HCMV-miR-US4-1 as an indicator for predicting the efficacy of IFNα treatment in chronic hepatitis B patients
title_sort circulating human cytomegalovirus-encoded hcmv-mir-us4-1 as an indicator for predicting the efficacy of ifnα treatment in chronic hepatitis b patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4785337/
https://www.ncbi.nlm.nih.gov/pubmed/26961899
http://dx.doi.org/10.1038/srep23007
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