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Gene expression profiling analysis of keloids with and without hydrocortisone treatment

The present study aimed to investigate the genetic effects of hydrocortisone (HC) treatment on keloids and screen medicines to be used in a combination therapy of keloids with HC. The dataset GSE7890 was downloaded from Gene Expression Omnibus. It contained data regarding 4 fibroblast samples from n...

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Autores principales: Wang, Hongyi, Quan, Liangliang, Liang, Jiulong, Shi, Jie, Qiu, Tao, Zhang, Ye, Wang, Yang, Hui, Qiang, Zhang, Yu, Tao, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5740600/
https://www.ncbi.nlm.nih.gov/pubmed/29285054
http://dx.doi.org/10.3892/etm.2017.5263
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author Wang, Hongyi
Quan, Liangliang
Liang, Jiulong
Shi, Jie
Qiu, Tao
Zhang, Ye
Wang, Yang
Hui, Qiang
Zhang, Yu
Tao, Kai
author_facet Wang, Hongyi
Quan, Liangliang
Liang, Jiulong
Shi, Jie
Qiu, Tao
Zhang, Ye
Wang, Yang
Hui, Qiang
Zhang, Yu
Tao, Kai
author_sort Wang, Hongyi
collection PubMed
description The present study aimed to investigate the genetic effects of hydrocortisone (HC) treatment on keloids and screen medicines to be used in a combination therapy of keloids with HC. The dataset GSE7890 was downloaded from Gene Expression Omnibus. It contained data regarding 4 fibroblast samples from normal scar tissue and 5 samples from keloid tissue with HC treatment, as well as 5 samples from normal scar and 5 samples from keloids without HC treatment. Following the identification of differentially expressed genes (DEGs), the functions of these DEGs were analyzed by Gene Ontology (GO) and pathway enrichment analyses. Furthermore, adverse effects of HC were identified using WebGestalt. Additionally, candidate small molecule drugs associated with keloids were selected from a connectivity map database. A total of 166 and 41 DEGs, with and without HC treatment respectively, were only present in dermal fibroblasts from keloids (termed genesets A and B, respectively). A set of 26 DEGs was present following both treatments (geneset C). A number of DEGs in geneset B (COL18A1 and JAG1) were associated with endothelial cell differentiation. However, in genesets A and C, certain genes (CCNB1 and CCNB2) were involved in the cell cycle and p53 signaling pathways, and a number of genes (IL1R1 and COL1A1) were associated with bone loss. Additionally, numerous small molecule drugs (including acemetacin) were associated with keloids. Thus, it has been determined that HC may treat keloids by targeting genes associated to endothelial cell differentiation (COL18A1 and JAG1). However, HC has a number of adverse effects, including bone loss. Acemetacin may be applied in a combination therapy, along with HC, to treat keloids.
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spelling pubmed-57406002017-12-28 Gene expression profiling analysis of keloids with and without hydrocortisone treatment Wang, Hongyi Quan, Liangliang Liang, Jiulong Shi, Jie Qiu, Tao Zhang, Ye Wang, Yang Hui, Qiang Zhang, Yu Tao, Kai Exp Ther Med Articles The present study aimed to investigate the genetic effects of hydrocortisone (HC) treatment on keloids and screen medicines to be used in a combination therapy of keloids with HC. The dataset GSE7890 was downloaded from Gene Expression Omnibus. It contained data regarding 4 fibroblast samples from normal scar tissue and 5 samples from keloid tissue with HC treatment, as well as 5 samples from normal scar and 5 samples from keloids without HC treatment. Following the identification of differentially expressed genes (DEGs), the functions of these DEGs were analyzed by Gene Ontology (GO) and pathway enrichment analyses. Furthermore, adverse effects of HC were identified using WebGestalt. Additionally, candidate small molecule drugs associated with keloids were selected from a connectivity map database. A total of 166 and 41 DEGs, with and without HC treatment respectively, were only present in dermal fibroblasts from keloids (termed genesets A and B, respectively). A set of 26 DEGs was present following both treatments (geneset C). A number of DEGs in geneset B (COL18A1 and JAG1) were associated with endothelial cell differentiation. However, in genesets A and C, certain genes (CCNB1 and CCNB2) were involved in the cell cycle and p53 signaling pathways, and a number of genes (IL1R1 and COL1A1) were associated with bone loss. Additionally, numerous small molecule drugs (including acemetacin) were associated with keloids. Thus, it has been determined that HC may treat keloids by targeting genes associated to endothelial cell differentiation (COL18A1 and JAG1). However, HC has a number of adverse effects, including bone loss. Acemetacin may be applied in a combination therapy, along with HC, to treat keloids. D.A. Spandidos 2017-12 2017-10-03 /pmc/articles/PMC5740600/ /pubmed/29285054 http://dx.doi.org/10.3892/etm.2017.5263 Text en Copyright: © Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Wang, Hongyi
Quan, Liangliang
Liang, Jiulong
Shi, Jie
Qiu, Tao
Zhang, Ye
Wang, Yang
Hui, Qiang
Zhang, Yu
Tao, Kai
Gene expression profiling analysis of keloids with and without hydrocortisone treatment
title Gene expression profiling analysis of keloids with and without hydrocortisone treatment
title_full Gene expression profiling analysis of keloids with and without hydrocortisone treatment
title_fullStr Gene expression profiling analysis of keloids with and without hydrocortisone treatment
title_full_unstemmed Gene expression profiling analysis of keloids with and without hydrocortisone treatment
title_short Gene expression profiling analysis of keloids with and without hydrocortisone treatment
title_sort gene expression profiling analysis of keloids with and without hydrocortisone treatment
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5740600/
https://www.ncbi.nlm.nih.gov/pubmed/29285054
http://dx.doi.org/10.3892/etm.2017.5263
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