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A Sub-Pathway Based Method to Identify Candidate Agents for Ankylosing Spondylitis

The need for new therapeutics for Ankylosing Spondylitis (AS) is highlighted by the general lack of efficacy for most agents currently available for this disease. Many recent studies have detailed molecular pathways in AS, and several molecule-targeting agents are undergoing evaluation. We aimed to...

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Detalles Bibliográficos
Autores principales: Chen, Kai, Zhao, Yingchuan, Chen, Yu, Wang, Chuanfeng, Chen, Ziqiang, Bai, Yushu, Zhu, Xiaodong, Li, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6268298/
https://www.ncbi.nlm.nih.gov/pubmed/23090024
http://dx.doi.org/10.3390/molecules171012460
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author Chen, Kai
Zhao, Yingchuan
Chen, Yu
Wang, Chuanfeng
Chen, Ziqiang
Bai, Yushu
Zhu, Xiaodong
Li, Ming
author_facet Chen, Kai
Zhao, Yingchuan
Chen, Yu
Wang, Chuanfeng
Chen, Ziqiang
Bai, Yushu
Zhu, Xiaodong
Li, Ming
author_sort Chen, Kai
collection PubMed
description The need for new therapeutics for Ankylosing Spondylitis (AS) is highlighted by the general lack of efficacy for most agents currently available for this disease. Many recent studies have detailed molecular pathways in AS, and several molecule-targeting agents are undergoing evaluation. We aimed to explore the mechanism of AS and identify biologically active small molecules capable of targeting the sub-pathways which were disregulated in the development of AS. By using the GSE25101 microarray data accessible from the Gene Expression Omnibus database, we first identified the differentially expressed genes (DEGs) between AS samples and healthy controls, followed by the sub-pathway enrichment analysis of the DEGs. In addition, we propose the use of an approach based on targeting sub-pathways to identify potential agents for AS. A total of 3,280 genes were identified as being significantly different between patients and controls with p-values < 0.1. Our study showed that neurotrophic signaling pathway and some immune-associated pathways may be involved in the development of AS. Besides, our bioinformatics analysis revealed a total of 15 small molecules which may play a role in perturbing the development of AS. Our study proposes the use of an approach based on targeting sub-pathways to identify potential agents for AS. Candidate agents identified by our approach may provide the groundwork for a combination therapy approach for AS.
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spelling pubmed-62682982018-12-12 A Sub-Pathway Based Method to Identify Candidate Agents for Ankylosing Spondylitis Chen, Kai Zhao, Yingchuan Chen, Yu Wang, Chuanfeng Chen, Ziqiang Bai, Yushu Zhu, Xiaodong Li, Ming Molecules Article The need for new therapeutics for Ankylosing Spondylitis (AS) is highlighted by the general lack of efficacy for most agents currently available for this disease. Many recent studies have detailed molecular pathways in AS, and several molecule-targeting agents are undergoing evaluation. We aimed to explore the mechanism of AS and identify biologically active small molecules capable of targeting the sub-pathways which were disregulated in the development of AS. By using the GSE25101 microarray data accessible from the Gene Expression Omnibus database, we first identified the differentially expressed genes (DEGs) between AS samples and healthy controls, followed by the sub-pathway enrichment analysis of the DEGs. In addition, we propose the use of an approach based on targeting sub-pathways to identify potential agents for AS. A total of 3,280 genes were identified as being significantly different between patients and controls with p-values < 0.1. Our study showed that neurotrophic signaling pathway and some immune-associated pathways may be involved in the development of AS. Besides, our bioinformatics analysis revealed a total of 15 small molecules which may play a role in perturbing the development of AS. Our study proposes the use of an approach based on targeting sub-pathways to identify potential agents for AS. Candidate agents identified by our approach may provide the groundwork for a combination therapy approach for AS. MDPI 2012-10-22 /pmc/articles/PMC6268298/ /pubmed/23090024 http://dx.doi.org/10.3390/molecules171012460 Text en © 2012 by the authors; licensee MDPI, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0/ This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Chen, Kai
Zhao, Yingchuan
Chen, Yu
Wang, Chuanfeng
Chen, Ziqiang
Bai, Yushu
Zhu, Xiaodong
Li, Ming
A Sub-Pathway Based Method to Identify Candidate Agents for Ankylosing Spondylitis
title A Sub-Pathway Based Method to Identify Candidate Agents for Ankylosing Spondylitis
title_full A Sub-Pathway Based Method to Identify Candidate Agents for Ankylosing Spondylitis
title_fullStr A Sub-Pathway Based Method to Identify Candidate Agents for Ankylosing Spondylitis
title_full_unstemmed A Sub-Pathway Based Method to Identify Candidate Agents for Ankylosing Spondylitis
title_short A Sub-Pathway Based Method to Identify Candidate Agents for Ankylosing Spondylitis
title_sort sub-pathway based method to identify candidate agents for ankylosing spondylitis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6268298/
https://www.ncbi.nlm.nih.gov/pubmed/23090024
http://dx.doi.org/10.3390/molecules171012460
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