Functional Analysis of Estrogen Receptor 1 in Diabetic Wound Healing: A Knockdown Cell-Based and Bioinformatic Study.

Sha Qi, Qiong Han, Danmou Xing, Long Qian, Xiang Yu, Dong Ren, Huan Wang, Quan Chen
Author Information
  1. Sha Qi: Department of Hand Surgery, Wuhan Fourth Hospital; Puai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (mainland).
  2. Qiong Han: Department of Hand Surgery, Wuhan Fourth Hospital; Puai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (mainland).
  3. Danmou Xing: Department of Hand Surgery, Wuhan Fourth Hospital; Puai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (mainland).
  4. Long Qian: Department of Hand Surgery, Wuhan Fourth Hospital; Puai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (mainland).
  5. Xiang Yu: Department of Hand Surgery, Wuhan Fourth Hospital; Puai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (mainland).
  6. Dong Ren: Department of Hand Surgery, Wuhan Fourth Hospital; Puai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (mainland).
  7. Huan Wang: Department of Hand Surgery, Wuhan Fourth Hospital; Puai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (mainland).
  8. Quan Chen: Department of Hand Surgery, Wuhan Fourth Hospital; Puai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (mainland).

Abstract

BACKGROUND Diabetic wound (DW) treatment is a serious challenge for clinicians, and the underlying mechanisms of DWs remain elusive. We sought to identify the critical genes in the development of DWs and provide potential targets for DW therapies. MATERIAL AND METHODS Datasets of GSE38396 from the Gene Expression Omnibus (GEO) database were reviewed. Pathway analysis was performed using the Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Ontology term analyses were carried out, and Cytoscape software (Cytoscape 3.7.2) was used to construct the protein interaction network. Serum samples from patients with diabetes and control participants were collected, and the expression of estrogen receptor 1 (ESR1) was measured by quantitative reverse-transcription polymerase chain reaction. In addition, the function of ESR1 in human skin fibroblasts was investigated in vitro. RESULTS Eight samples were analyzed using the Morpheus online tool, which identified 637 upregulated and 448 downregulated differentially expressed genes. The top 5 KEGG pathways of upregulated differentially expressed genes were associated with sphingolipid metabolism, estrogen signaling, ECM-receptor interaction, MAPK signaling, and PI3K-Akt signaling. The hub genes for DWs were JUN, ESR1, CD44, SMARCA4, MMP2, BMP4, GSK3B, WDR5, PTK2, and PTGS2. JUN, MMP2, and ESR1 were the upregulated hub genes, and ESR1 was found to be consistently enriched in DW patients. Inhibition of ESR1 had a stimulative role in human skin fibroblasts. CONCLUSIONS ESR1 was identified as a crucial gene in the development of DWs, which suggests potential therapeutic targets for DW healing.

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MeSH Term

Cells, Cultured
Databases, Genetic
Diabetes Complications
Estrogen Receptor alpha
Fibroblasts
Gene Expression Regulation
Gene Ontology
Humans
Signal Transduction
Skin Ulcer
Wound Healing

Chemicals

ESR1 protein, human
Estrogen Receptor alpha

Word Cloud

Created with Highcharts 10.0.0ESR1genesDWDWsupregulatedsignalingDiabeticdevelopmentpotentialtargetsGeneusingKEGGCytoscapeinteractionsamplespatientsestrogen1humanskinfibroblastsidentifieddifferentiallyexpressedhubJUNMMP2BACKGROUNDwoundtreatmentseriouschallengecliniciansunderlyingmechanismsremainelusivesoughtidentifycriticalprovidetherapiesMATERIALANDMETHODSDatasetsGSE38396ExpressionOmnibusGEOdatabasereviewedPathwayanalysisperformedKyotoEncyclopediaGenesGenomesOntologytermanalysescarriedsoftware372usedconstructproteinnetworkSerumdiabetescontrolparticipantscollectedexpressionreceptormeasuredquantitativereverse-transcriptionpolymerasechainreactionadditionfunctioninvestigatedvitroRESULTSEightanalyzedMorpheusonlinetool637448downregulatedtop5pathwaysassociatedsphingolipidmetabolismECM-receptorMAPKPI3K-AktCD44SMARCA4BMP4GSK3BWDR5PTK2PTGS2foundconsistentlyenrichedInhibitionstimulativeroleCONCLUSIONScrucialgenesuggeststherapeutichealingFunctionalAnalysisEstrogenReceptorWoundHealing:KnockdownCell-BasedBioinformaticStudy

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