安徽医科大学学报2024,Vol.59Issue(3) :484-490.DOI:10.19405/j.cnki.issn1000-1492.2024.03.018

类风湿关节炎免疫特征基因及其与土茯苓黄酮类化合物的关系研究

Study on immune characteristic genes of rheumatoid arthritis and the relationship with flavonoids of Smilax glabra Roxb.

杨欣 黄聪 姚血明
安徽医科大学学报2024,Vol.59Issue(3) :484-490.DOI:10.19405/j.cnki.issn1000-1492.2024.03.018

类风湿关节炎免疫特征基因及其与土茯苓黄酮类化合物的关系研究

Study on immune characteristic genes of rheumatoid arthritis and the relationship with flavonoids of Smilax glabra Roxb.

杨欣 1黄聪 1姚血明2
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作者信息

  • 1. 贵州中医药大学基础医学院,贵阳 550025
  • 2. 贵州中医药大学第二附属医院风湿免疫科,贵阳 550025
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摘要

目的 基于Gene Expression Omnibus(GEO)数据集结合LASSO逻辑回归、ssGSEA 和 WGCNA 等生物信息学及统计学方法,筛选与特定免疫细胞浸润相关的类风湿关节炎(RA)诊断标志物,并分析土茯苓黄酮类化合物与其结合情况.方法 通过GEO数据库获取正常对照组和RA组基因芯片.利用R 4.3.0"WGCNA"软件包对数据集进行整合分析,识别其中的共表达模块信息,筛选出与RA密切相关的关键模块.基于R软件中"glmnet"包对差异表达基因进行LASSO回归分析,筛选 RA 的特征基因.受试者工作特征(ROC)曲线下的面积用来评估特征基因对RA的诊断价值.通过 R 中的"GSVA"、"limma"和"GSEABase"程序包对正常对照组和RA组的基因表达数据进行量化免疫细胞浸润分析.基于超高效液相色谱-四极杆-静电场轨道阱高分辨质谱(UHPLC-Q-Exactive/MS)技术鉴定土茯苓黄酮类化合物.通过分子对接技术分析黄酮类化合物与特征基因的结合情况.结果 LASSO回归算法共筛选出 5 个特征基因(载脂蛋白D,含锌指和 BTB 域 16,趋化因子C-C亚族受体5,基质金属蛋白酶-1 和冠蛋白1A),5 个特征基因的ROC曲线下面积均大于 0.85,特征基因与多种免疫细胞呈正相关.通过UHPLC-Q-Exactive/MS鉴定出土茯苓黄酮类化合物共 20 个,其中 Mulberrin和 Neobavaisoflavone 化合物与 5个免疫特征基因均有较好的结合.结论 土茯苓黄酮类化合物与RA免疫特征基因有较好的结合,能够为RA免疫调节治疗和早期诊断提供科学依据.

Abstract

Objective To use the GEO dataset and bioinformatics techniques,such as LASSO logistic regression,ssGSEA,and WGCNA,to screen for RA diagnostic markers and investigate the impact of earthly flavonoids in Smi-lax glabra Roxb.on specific immune cell infiltration,to screen for rheumatoid arthritis(RA)diagnostic markers on specific immune cell infiltration and to analyze the combination of flavonoids in Smilax glabra Roxb.and diagnostic markers.Methods The normal control group and RA gene chip were obtained from the Gene Expression Omnibus database.The R 4.3.0 WGCNA software package was used to integrate and analyze the dataset,identify co-expres-sion modules and associated trait information,and screen key modules closely related to RA.LASSO regression a-nalysis was performed using the glmnet package in R to identify characteristic genes for RA.The area under the re-ceiver operating characteristic(ROC)curve was used to evaluate the diagnostic value of the characteristic genes in RA.The gene expression data of the normal control group and RA group were subjected to quantitative immune cell infiltration analysis using the GSVA,limma,and GSEABase packages in R.The chemical components of earth-worm flavonoids in Smilax glabra Roxb.were analyzed based on UHPLC-Q-Exactive Orbitrap MS.The correlation between flavonoids and characteristic genes was assessed through molecular docking.Results The LASSO regres-sion algorithm selected 5 characteristic genes(apolipoprotein D,zinc finger and BTB domain containing 16,C-C chemokine receptor type 5,matrix metalloproteinase 1,coronin-1A).The area under ROC curve of all 5 character-istic genes was greater than 0.85,which exhibited positive correlations with various immune cells.Twenty earth-worm flavonoids of Smilax glabra Roxb.were identified using UHPLC-Q-Exactive/MS,and Mulberrin and Neobavaisoflavone were well combined with 5 immune characteristic genes.Conclusion Flavonoids compounds of Smilax glabra Roxb.have good combination with RA immune characteristic genes,providing a scientific basis for RA immunomodulation therapy and early diagnosis.

关键词

类风湿关节炎/土茯苓/免疫细胞浸润分析/特征基因/分子对接/黄酮类化合物

Key words

rheumatoid arthritis/Smilax glabra Roxb./immune cell infiltration analysis/characteristic gene/mo-lecular docking/flavonoids compounds

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基金项目

贵州中医药大学国家与省级科技创新人才团队培育项目(贵中医TD合字[2022]004号)

贵州省科技计划(黔科合基础-ZK[2021]一般537)

出版年

2024
安徽医科大学学报
安徽医科大学

安徽医科大学学报

CSTPCD北大核心
影响因子:1.095
ISSN:1000-1492
参考文献量15
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