[1]王 宽,茆 军,张 立,等.基于生物信息学分析的激素性股骨头坏死相关核心基因和通路识别[J].医学信息,2021,34(20):68-73.[doi:10.3969/j.issn.1006-1959.2021.20.017]
　WANG Kuan,MAO Jun,ZHANG Li,et al.Identification of Core Genes and Pathways Related to Steroid-induced Osteonecrosis of theFemoral Head Based on Bioinformatics Analysis[J].Medical Information,2021,34(20):68-73.[doi:10.3969/j.issn.1006-1959.2021.20.017]
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基于生物信息学分析的激素性股骨头坏死相关核心基因和通路识别()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
34卷
期数:
2021年20期
页码:
68-73
栏目:
论著
出版日期:
2021-10-20

文章信息/Info

Title:
Identification of Core Genes and Pathways Related to Steroid-induced Osteonecrosis of theFemoral Head Based on Bioinformatics Analysis
文章编号:
1006-1959（2021）20-0068-06
作者:
王 宽1; 2; 茆 军1; 2; 张 立1; 2; 邢润麟1; 2; 梅 伟1; 2; 丁 亮1; 2; 张农山1; 2; 王培民1; 2
1.南京中医药大学第一临床医学院，江苏 南京 210029； 2.江苏省中医院骨科，江苏 南京 210029
Author(s):
WANG Kuan1; 2; MAO Jun1; 2; ZHANG Li1; 2; XING Run-lin1; 2; MEI Wei1; 2; DING Liang1; 2; ZHANG Nong-shan1; 2; WANG Pei-min1; 2
1.The First Clinical Medical College of Nanjing University of Chinese Medicine,Nanjing 210029，Jiangsu,China; 2.Department of Orthopedics,Jiangsu Provincial Hospital of Traditional Chinese Medicine,Nanjing 210029,Jiangsu,China
关键词:
激素性股股骨头坏死; 差异表达基因; 生物信息学分析
Keywords:
Steroid-induced osteonecrosis of the femoral head; Differentially expressed genes; Bioinformatics analysis
分类号:
R684
DOI:
10.3969/j.issn.1006-1959.2021.20.017
文献标志码:
A
摘要:
目的 对激素性股骨头坏死（SONFH）差异表达基因进行生物信息学分析，确定与SONFH的发生和发展相关的关键致病生物标志物，并预测潜在的SONFH治疗药物。方法 从基因表达总表（GEO）数据库中下载GSE123568表达谱，采用GEO2R在线工具软件分析，获得差异表达基因（DGEs）。通过String数据库构建SONFH差异表达基因蛋白质相互作用（PPI）网络，通过Cytoscape软件cytoHubba插件筛选出核心基因，并进行差异表达基因功能富集分析、通路富集分析和基因富集分析（GSEA），SONFH潜在治疗药物的预测。结果 共筛选出了160个SONFH差异表达基因，在各种关键途径中高度富集，包括红细胞发展、JAK-STAT通路、 toll受体通路等。DGIdb数据库中预测了3 个潜在治疗药物，分别是甘氨酸、富马酸亚铁、硫酸甘氨酸亚铁。结论 研究确定了10个潜在基因，可能成为早期筛查的重要标志物；甘氨酸、富马酸亚铁、硫酸甘氨酸亚铁是SONFH潜在的治疗药物。
Abstract:
Objective Bioinformatics analysis of differentially expressed genes in steroid-induced osteonecrosis of the femoral head (SONFH) was performed to identify key pathogenic biomarkers associated with the occurrence and development of SONFH, and predict potential SONFH therapies.Methods The GSE123568 Expression profile was downloaded from the Gene Expression Omnibus (GEO) database, the differentially expressed genes (DGEs) were analyzed using the GEO2R online tool. SONFH differentially expressed gene protein interaction (PPI) network was constructed through String database, core genes were screened through cytoHubba of Cytoscape software. And functional enrichment analysis, pathway enrichment analysis and prediction of SONFH potential therapeutic drugs were performed.Results A total of 160 differentially expressed SONFH genes were selected, which were highly enriched in various key pathways, including erythrocyte development, JAK-stat pathway and toll receptor pathway. The DGIdb database was predicted three potential therapeutic agents, namely ferrous glycine, ferrous fumarate, and ferrous glycine sulfate.Conclusion The study identified for the first time 10 potential genes that could be important markers for early screening. Glycine, ferrous fumarate and ferrous sulfate are potential therapeutic agents for SONFH.

参考文献/References:

[1]Zhao DW,Yu M,Hu K,et al.Prevalence of Nontraumatic Osteonecrosis of the Femoral Head and its Associated Risk Factors in the Chinese Population: Results from a Nationally Representative Survey[J].Chin Med J (Engl),2015,128(21):2843-2850.[2]Mont MA,Jones LC,Hungerford DS.Nontraumatic osteonecrosis of the femoral head: ten years later[J].J Bone Joint Surg Am,2006,88(5):1117-1132.[3]Chang C,Greenspan A,Gershwin ME.The pathogenesis, diagnosis and clinical manifestations of steroid-induced osteonecrosis[J].J Autoimmun,2020(110):102460.[4]Jourde-Chiche N,Whalen E,Gondouin B,et al.Modular transcriptional repertoire analyses identify a blood neutrophil signature as a candidate biomarker for lupus nephritis[J].Rheumatology (Oxford),2017,56(3):477-487.[5]Kaessmann H.Origins, evolution, and phenotypic impact of new genes[J].Genome Res,2010,20(10):1313-1326.[6]Wang R,Yang S,Xu M,et al.Exome sequencing confirms molecular diagnoses in 38 Chinese families with hereditary spherocytosis[J].Sci China Life Sci,2018,61(8):947-953.[7]沈晓文.激素引起股骨头缺血坏死中微循环障碍的实验和临床研究[J].介入放射学杂志,2007,16(2):129-131.[8]Zhang Q,L V J,Jin L.Role of coagulopathy in glucocorticoid-induced osteonecrosis of the femoral head[J].J Int Med Res,2018,46(6):2141-2148.[9]Krenn V,Müller S,Krenn VT,et al.Pathophysiology of aseptic femoral head necrosis: Pathogenesis and histopathological differential diagnosis[J].Orthopade,2018,47(9):710-716.[10]Kubo T,Ueshima K,Saito M,et al.Clinical and basic research on steroid-induced osteonecrosis of the femoral head in Japan[J].J Orthop Sci,2016,21(4):407-413.[11]Parrondo RD,Sher T.Prevention Of Skeletal Related Events In Multiple Myeloma: Focus On The RANK-L Pathway In The Treatment Of Multiple Myeloma[J].Onco Targets Ther,2019(12):8467-8478.[12]Luo P,Gao F,Han J,et al.The role of autophagy in steroid necrosis of the femoral head: a comprehensive research review[J].Int Orthop,2018,42(7):1747-1753.[13]杜瑞平,张兴夫,高民,等.甘氨酸的免疫调节作用及其分子机制[J].动物营养学报,2015,27(3):663.[14]Guo D,Murdoch CE,Xu H,et al.Vascular endothelial growth factor signaling requires glycine to promote angiogenesis[J].Sci Rep,2017,7(1):14749.[15]赵聪,黄浩,陈贵堂.缺铁性贫血与补铁剂研究概况[J].食品安全质量检测学报,2016,7(8):3216-3221.

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