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Interleukin 17A as a good predictor of the severity of Mycoplasma pneumoniae pneumonia in children

Early distinction between severe Mycoplasma pneumoniae pneumonia (MPP) and mild MPP is still difficult. The aim of this study was to analyze cytokines in bronchoalveolar lavage fluid (BALF) and explore predicting factors of severe MPP in children. Retrospective analysis was performed on 150 children...

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Autores principales: Yang, Mingyue, Meng, Fanzheng, Wang, Kuo, Gao, Man, Lu, Ruihua, Li, Mengyao, Zhao, Fangxing, Huang, Lijuan, Zhang, Yining, Cheng, Genhong, Wang, Xiaosong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5636901/
https://www.ncbi.nlm.nih.gov/pubmed/29021577
http://dx.doi.org/10.1038/s41598-017-13292-5
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author Yang, Mingyue
Meng, Fanzheng
Wang, Kuo
Gao, Man
Lu, Ruihua
Li, Mengyao
Zhao, Fangxing
Huang, Lijuan
Zhang, Yining
Cheng, Genhong
Wang, Xiaosong
author_facet Yang, Mingyue
Meng, Fanzheng
Wang, Kuo
Gao, Man
Lu, Ruihua
Li, Mengyao
Zhao, Fangxing
Huang, Lijuan
Zhang, Yining
Cheng, Genhong
Wang, Xiaosong
author_sort Yang, Mingyue
collection PubMed
description Early distinction between severe Mycoplasma pneumoniae pneumonia (MPP) and mild MPP is still difficult. The aim of this study was to analyze cytokines in bronchoalveolar lavage fluid (BALF) and explore predicting factors of severe MPP in children. Retrospective analysis was performed on 150 children with MPP or bronchial foreign body (FB) admitted in our hospital. The mRNA levels of IL17A were found significantly lower in severe MPP group comparing with mild MPP group or FB group. However, no significant difference was found in the levels of IL4, IL10 or interferon beta1 (IFNβ1) between the two groups. Receiver operator characteristic (ROC) curve analysis showed that IL17A can be used to distinguish severe MPP from mild MPP. These results were confirmed in a validation cohort including 40 MPP children from another hospital. IL17A levels were correlated with some clinical characters, such as refractoriness and pleural effusion. Lower IL17A levels were more likely to be found in refractory MPP children or in MPP children with pleural effusion. Moreover, the protein levels of IL17A in BALF were also found greatly decreased in children with severe MPP. Thus, decreased IL17A levels in BALF may be a valuable biomarker to identify severe MPP in children.
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spelling pubmed-56369012017-10-18 Interleukin 17A as a good predictor of the severity of Mycoplasma pneumoniae pneumonia in children Yang, Mingyue Meng, Fanzheng Wang, Kuo Gao, Man Lu, Ruihua Li, Mengyao Zhao, Fangxing Huang, Lijuan Zhang, Yining Cheng, Genhong Wang, Xiaosong Sci Rep Article Early distinction between severe Mycoplasma pneumoniae pneumonia (MPP) and mild MPP is still difficult. The aim of this study was to analyze cytokines in bronchoalveolar lavage fluid (BALF) and explore predicting factors of severe MPP in children. Retrospective analysis was performed on 150 children with MPP or bronchial foreign body (FB) admitted in our hospital. The mRNA levels of IL17A were found significantly lower in severe MPP group comparing with mild MPP group or FB group. However, no significant difference was found in the levels of IL4, IL10 or interferon beta1 (IFNβ1) between the two groups. Receiver operator characteristic (ROC) curve analysis showed that IL17A can be used to distinguish severe MPP from mild MPP. These results were confirmed in a validation cohort including 40 MPP children from another hospital. IL17A levels were correlated with some clinical characters, such as refractoriness and pleural effusion. Lower IL17A levels were more likely to be found in refractory MPP children or in MPP children with pleural effusion. Moreover, the protein levels of IL17A in BALF were also found greatly decreased in children with severe MPP. Thus, decreased IL17A levels in BALF may be a valuable biomarker to identify severe MPP in children. Nature Publishing Group UK 2017-10-11 /pmc/articles/PMC5636901/ /pubmed/29021577 http://dx.doi.org/10.1038/s41598-017-13292-5 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
Yang, Mingyue
Meng, Fanzheng
Wang, Kuo
Gao, Man
Lu, Ruihua
Li, Mengyao
Zhao, Fangxing
Huang, Lijuan
Zhang, Yining
Cheng, Genhong
Wang, Xiaosong
Interleukin 17A as a good predictor of the severity of Mycoplasma pneumoniae pneumonia in children
title Interleukin 17A as a good predictor of the severity of Mycoplasma pneumoniae pneumonia in children
title_full Interleukin 17A as a good predictor of the severity of Mycoplasma pneumoniae pneumonia in children
title_fullStr Interleukin 17A as a good predictor of the severity of Mycoplasma pneumoniae pneumonia in children
title_full_unstemmed Interleukin 17A as a good predictor of the severity of Mycoplasma pneumoniae pneumonia in children
title_short Interleukin 17A as a good predictor of the severity of Mycoplasma pneumoniae pneumonia in children
title_sort interleukin 17a as a good predictor of the severity of mycoplasma pneumoniae pneumonia in children
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5636901/
https://www.ncbi.nlm.nih.gov/pubmed/29021577
http://dx.doi.org/10.1038/s41598-017-13292-5
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