摘要
目的通过生物信息学方法探讨痤疮的分子机制及免疫浸润情况,预测治疗痤疮的潜在中药。方法从基因表达综合数据库(Gene expression omnibus,GEO)数据库中下载微阵列数据集GSE6475和GSE65914,通过分析获得了差异表达基因(Differentially expressed genes,DEGs)。然后对DEGs进行加权共表达分析及基因本体论(Gene Ontology,Go)和京都基因与基因组百科全书(Kyoto encyclopedia of genes and genomes,KEGG)富集分析,利用STRING在线网站和R语言对关键基因进行排名;并使用CIBERSORT评估了痤疮中免疫细胞的浸润情况。最后将关键基因映射到Coremine数据库中,筛选出治疗痤疮的潜在中药,并通过古今医案云平台分析现代文献中治疗痤疮的用药规律,对预测的中药进行验证。结果共获得了363个DEGs,根据KEGG通路富集和GO富集分析,这些关键基因主要参与了免疫和炎症过程。主成分分析也显示痤疮与正常组织之间的免疫浸润有显著差异。最终我们确定了6个核心基因(S100A7、TLR2、BMP2、WNT5A、SPRR1B、CCND1),并预测出治疗痤疮的潜在中药,这些中药大多分布在清热药、补气健脾药及活血化瘀药中。结论通过生物信息学方法确定了六个核心基因作为诊断和治疗痤疮的潜在生物标志物,分析了痤疮的免疫浸润情况,并预测出治疗痤疮的潜在中药,为痤疮的临床治疗和中药研发提供新思路。
Objective To explore the molecular mechanism and immune infiltration of acne based on bioinformatics and predict potential Chinese medicines for its treatment.Methods Microarray datasets GSE6475 and GSE65914 were retrieved from the Gene Expression Omnibus(GEO)database.The analysis of these datasets yielded differentially expressed genes(DEGs).Weighted co-expression analysis,Gene Ontology(GO),and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses were performed on the DEGs.Key genes were ranked using the STRING online platform and R programming.Immune cell infiltration in acne was assessed using CIBERSORT.Finally,key genes were mapped to the CoreMine database to identify potential Chinese medicines for acne treatment.The medication patterns of these medicines in historical and modern medical literature were analyzed using the Ancient and Modern Medical Records Cloud Platform.Results A total of 363 DEGs were identified.Based on KEGG pathway enrichment and GO analysis,these key genes were mainly involved in immune and inflammatory processes.Principal component analysis showed significant differences in immune infiltration between acne and normal tissues.Ultimately,six core genes(S100A7,TLR2,BMP2,WNT5A,SPRR1B,and CCND1)were identified,and potential Chinese medicines for acne treatment were predicted.These medicines were mostly categorized as heat-clearing,qi-tonifying,spleen-invigorating,blood-activating,and stasis-resolving herbs.Conclusion Through bioinformatics methods,six core genes were identified as potential biomarkers for diagnosing and treating acne.The study analyzed immune infiltration in acne and predicted potential Chinese medicines for its treatment,offering new insights for the clinical management of acne and the development of Chinese medicine.
作者
崔丽玉
张欢
赵玉清
马丽娜·阿新拜
张立平
CUI Li-yu;ZHANG Huan;ZHAO Yu-qing;MALINA A-xin-bai;ZHANG Li-ping(Beijing University of Chinese Medicine,Beijing 100029;Gastroenterology Department,Dongfang Hospital,Beijing University of Chinese Medicine,Beijing 100078)
出处
《世界中西医结合杂志》
2023年第8期1485-1493,1499,共10页
World Journal of Integrated Traditional and Western Medicine
基金
北京市自然科学基金项目(7212181)
北京中医药大学重点攻关项目(2020-JYB-ZDGG-138)。
