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Crucial transcripts predict response to initial immunoglobulin treatment in acute Kawasaki disease

Although intravenous immunoglobulin (IVIG) can effectively treat Kawasaki disease (KD), 10–20% of KD patients show no beneficial clinical response. Developing reliable criteria to discriminate non-responders is important for early planning of appropriate regimens. To predict the non-responders befor...

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Autores principales: Geng, Zhimin, Liu, Jingjing, Hu, Jian, Wang, Ying, Tao, Yijing, Zheng, Fenglei, Wang, Yujia, Fu, Songling, Wang, Wei, Xie, Chunhong, Zhang, Yiying, Gong, Fangqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7575539/
https://www.ncbi.nlm.nih.gov/pubmed/33082496
http://dx.doi.org/10.1038/s41598-020-75039-z
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author Geng, Zhimin
Liu, Jingjing
Hu, Jian
Wang, Ying
Tao, Yijing
Zheng, Fenglei
Wang, Yujia
Fu, Songling
Wang, Wei
Xie, Chunhong
Zhang, Yiying
Gong, Fangqi
author_facet Geng, Zhimin
Liu, Jingjing
Hu, Jian
Wang, Ying
Tao, Yijing
Zheng, Fenglei
Wang, Yujia
Fu, Songling
Wang, Wei
Xie, Chunhong
Zhang, Yiying
Gong, Fangqi
author_sort Geng, Zhimin
collection PubMed
description Although intravenous immunoglobulin (IVIG) can effectively treat Kawasaki disease (KD), 10–20% of KD patients show no beneficial clinical response. Developing reliable criteria to discriminate non-responders is important for early planning of appropriate regimens. To predict the non-responders before IVIG treatment, gene expression dataset of 110 responders and 61 non-responders was obtained from Gene Expression Omnibus. After weighted gene co-expression network analysis, we found that modules positively correlated with the non-responders were mainly associated with myeloid cell activation. Transcripts up-regulated in the non-responders, IL1R2, GK, HK3, C5orf32, CXCL16, NAMPT and EMILIN2, were proven to play key roles via interaction with other transcripts in co-expression network. The crucial transcripts may affect the clinical response to IVIG treatment in acute KD. And these transcripts may serve as biomarkers and therapeutic targets for precise diagnosis and treatment of the non-responders.
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spelling pubmed-75755392020-10-21 Crucial transcripts predict response to initial immunoglobulin treatment in acute Kawasaki disease Geng, Zhimin Liu, Jingjing Hu, Jian Wang, Ying Tao, Yijing Zheng, Fenglei Wang, Yujia Fu, Songling Wang, Wei Xie, Chunhong Zhang, Yiying Gong, Fangqi Sci Rep Article Although intravenous immunoglobulin (IVIG) can effectively treat Kawasaki disease (KD), 10–20% of KD patients show no beneficial clinical response. Developing reliable criteria to discriminate non-responders is important for early planning of appropriate regimens. To predict the non-responders before IVIG treatment, gene expression dataset of 110 responders and 61 non-responders was obtained from Gene Expression Omnibus. After weighted gene co-expression network analysis, we found that modules positively correlated with the non-responders were mainly associated with myeloid cell activation. Transcripts up-regulated in the non-responders, IL1R2, GK, HK3, C5orf32, CXCL16, NAMPT and EMILIN2, were proven to play key roles via interaction with other transcripts in co-expression network. The crucial transcripts may affect the clinical response to IVIG treatment in acute KD. And these transcripts may serve as biomarkers and therapeutic targets for precise diagnosis and treatment of the non-responders. Nature Publishing Group UK 2020-10-20 /pmc/articles/PMC7575539/ /pubmed/33082496 http://dx.doi.org/10.1038/s41598-020-75039-z Text en © The Author(s) 2020 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Geng, Zhimin
Liu, Jingjing
Hu, Jian
Wang, Ying
Tao, Yijing
Zheng, Fenglei
Wang, Yujia
Fu, Songling
Wang, Wei
Xie, Chunhong
Zhang, Yiying
Gong, Fangqi
Crucial transcripts predict response to initial immunoglobulin treatment in acute Kawasaki disease
title Crucial transcripts predict response to initial immunoglobulin treatment in acute Kawasaki disease
title_full Crucial transcripts predict response to initial immunoglobulin treatment in acute Kawasaki disease
title_fullStr Crucial transcripts predict response to initial immunoglobulin treatment in acute Kawasaki disease
title_full_unstemmed Crucial transcripts predict response to initial immunoglobulin treatment in acute Kawasaki disease
title_short Crucial transcripts predict response to initial immunoglobulin treatment in acute Kawasaki disease
title_sort crucial transcripts predict response to initial immunoglobulin treatment in acute kawasaki disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7575539/
https://www.ncbi.nlm.nih.gov/pubmed/33082496
http://dx.doi.org/10.1038/s41598-020-75039-z
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