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Integrated analysis of ischemic stroke datasets revealed sex and age difference in anti-stroke targets

Ischemic stroke is a common neurological disorder and the burden in the world is growing. This study aims to explore the effect of sex and age difference on ischemic stroke using integrated microarray datasets. The results showed a dramatic difference in whole gene expression profiles and influenced...

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Autores principales: Li, Wen-Xing, Dai, Shao-Xing, Wang, Qian, Guo, Yi-Cheng, Hong, Yi, Zheng, Jun-Juan, Liu, Jia-Qian, Liu, Dahai, Li, Gong-Hua, Huang, Jing-Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5028792/
https://www.ncbi.nlm.nih.gov/pubmed/27672514
http://dx.doi.org/10.7717/peerj.2470
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author Li, Wen-Xing
Dai, Shao-Xing
Wang, Qian
Guo, Yi-Cheng
Hong, Yi
Zheng, Jun-Juan
Liu, Jia-Qian
Liu, Dahai
Li, Gong-Hua
Huang, Jing-Fei
author_facet Li, Wen-Xing
Dai, Shao-Xing
Wang, Qian
Guo, Yi-Cheng
Hong, Yi
Zheng, Jun-Juan
Liu, Jia-Qian
Liu, Dahai
Li, Gong-Hua
Huang, Jing-Fei
author_sort Li, Wen-Xing
collection PubMed
description Ischemic stroke is a common neurological disorder and the burden in the world is growing. This study aims to explore the effect of sex and age difference on ischemic stroke using integrated microarray datasets. The results showed a dramatic difference in whole gene expression profiles and influenced pathways between males and females, and also in the old and young individuals. Furthermore, compared with old males, old female patients showed more serious biological function damage. However, females showed less affected pathways than males in young subjects. Functional interaction networks showed these differential expression genes were mostly related to immune and inflammation-related functions. In addition, we found ARG1 and MMP9 were up-regulated in total and all subgroups. Importantly, IL1A, ILAB, IL6 and TNF and other anti-stroke target genes were up-regulated in males. However, these anti-stroke target genes showed low expression in females. This study found huge sex and age differences in ischemic stroke especially the opposite expression of anti-stroke target genes. Future studies are needed to uncover these pathological mechanisms, and to take appropriate pre-prevention, treatment and rehabilitation measures.
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spelling pubmed-50287922016-09-26 Integrated analysis of ischemic stroke datasets revealed sex and age difference in anti-stroke targets Li, Wen-Xing Dai, Shao-Xing Wang, Qian Guo, Yi-Cheng Hong, Yi Zheng, Jun-Juan Liu, Jia-Qian Liu, Dahai Li, Gong-Hua Huang, Jing-Fei PeerJ Bioinformatics Ischemic stroke is a common neurological disorder and the burden in the world is growing. This study aims to explore the effect of sex and age difference on ischemic stroke using integrated microarray datasets. The results showed a dramatic difference in whole gene expression profiles and influenced pathways between males and females, and also in the old and young individuals. Furthermore, compared with old males, old female patients showed more serious biological function damage. However, females showed less affected pathways than males in young subjects. Functional interaction networks showed these differential expression genes were mostly related to immune and inflammation-related functions. In addition, we found ARG1 and MMP9 were up-regulated in total and all subgroups. Importantly, IL1A, ILAB, IL6 and TNF and other anti-stroke target genes were up-regulated in males. However, these anti-stroke target genes showed low expression in females. This study found huge sex and age differences in ischemic stroke especially the opposite expression of anti-stroke target genes. Future studies are needed to uncover these pathological mechanisms, and to take appropriate pre-prevention, treatment and rehabilitation measures. PeerJ Inc. 2016-09-15 /pmc/articles/PMC5028792/ /pubmed/27672514 http://dx.doi.org/10.7717/peerj.2470 Text en ©2016 Li et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Li, Wen-Xing
Dai, Shao-Xing
Wang, Qian
Guo, Yi-Cheng
Hong, Yi
Zheng, Jun-Juan
Liu, Jia-Qian
Liu, Dahai
Li, Gong-Hua
Huang, Jing-Fei
Integrated analysis of ischemic stroke datasets revealed sex and age difference in anti-stroke targets
title Integrated analysis of ischemic stroke datasets revealed sex and age difference in anti-stroke targets
title_full Integrated analysis of ischemic stroke datasets revealed sex and age difference in anti-stroke targets
title_fullStr Integrated analysis of ischemic stroke datasets revealed sex and age difference in anti-stroke targets
title_full_unstemmed Integrated analysis of ischemic stroke datasets revealed sex and age difference in anti-stroke targets
title_short Integrated analysis of ischemic stroke datasets revealed sex and age difference in anti-stroke targets
title_sort integrated analysis of ischemic stroke datasets revealed sex and age difference in anti-stroke targets
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5028792/
https://www.ncbi.nlm.nih.gov/pubmed/27672514
http://dx.doi.org/10.7717/peerj.2470
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