Identification of biomarkers related to immune and inflammation in membranous nephropathy: comprehensive bioinformatic analysis and validation

被引:2
|
作者
Zhang, Pingna [1 ]
Geng, Yunling [2 ,3 ]
Tang, Jingyi [2 ,3 ]
Cao, Zijing [2 ,3 ]
Xiang, Xiaojun [1 ]
Yang, Kezhen [4 ]
Chen, Hongbo [1 ]
机构
[1] Zhejiang Chinese Med Univ, Affiliated Hosp 1, Zhejiang Prov Hosp Chinese Med, Dept Nephrol, Hangzhou, Peoples R China
[2] Beijing Univ Chinese Med, Dongzhimen Hosp, Renal Res Inst, Beijing, Peoples R China
[3] Beijing Univ Chinese Med, Key Lab Chinese Internal Med Minist Educ & Beijin, Dongzhimen Hosp, Beijing, Peoples R China
[4] Zhejiang Univ, Sir Run Run Shaw Hosp, Dept Rehabil Med, Sch Med, Hangzhou, Peoples R China
来源
FRONTIERS IN IMMUNOLOGY | 2023年 / 14卷
基金
浙江省自然科学基金;
关键词
membranous nephropathy; immune; inflammatory cytokines; biomarkers; bioinformatics; EXPRESSION; RECEPTOR; CELLS; CYTOKINES; DYNAMICS;
D O I
10.3389/fimmu.2023.1252347
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
BackgroundMembranous nephropathy (MN) is an autoimmune glomerular disease that is predominantly mediated by immune complex deposition and complement activation. The aim of this study was to identify key biomarkers of MN and investigate their association with immune-related mechanisms, inflammatory cytokines, chemokines and chemokine receptors (CCRs).MethodsMN cohort microarray expression data were downloaded from the GEO database. Differentially expressed genes (DEGs) in MN were identified, and hub genes were determined using a protein-protein interaction (PPI) network. The relationships between immune-related hub genes, immune cells, CCRs, and inflammatory cytokines were examined using immune infiltration analysis, gene set enrichment analysis (GSEA), and weighted gene co-expression network analysis (WGCNA). Finally, the immune-related hub genes in MN were validated using ELISA.ResultsIn total, 501 DEGs were identified. Enrichment analysis revealed the involvement of immune- and cytokine-related pathways in MN progression. Using WGCNA and immune infiltration analysis, 2 immune-related hub genes (CYBB and CSF1R) were identified. These genes exhibited significant correlations with a wide range of immune cells and were found to participate in B cell/T cell receptor and chemokine signaling pathways. In addition, the expressions of 2 immune-related hub genes were positively correlated with the expression of CCR1, CX3CR1, IL1B, CCL4, TNF, and CCR2.ConclusionOur study identified CSF1 and CYBB as immune-related hub genes that potentially influence the expression of CCRs and pro-inflammatory cytokines (CCR1, CX3CR1, IL1B, CCL4, TNF, and CCR2). CSF1 and CYBB may be potential biomarkers for MN progression, providing a perspective for diagnostic and immunotherapeutic targets of MN.
引用
收藏
页数:13
相关论文
共 50 条
  • [21] Comprehensive identification of immune-associated biomarkers based on network and mRNA expression patterns in membranous glomerulonephritis
    Zhang, Chengwei
    Leng, Lei
    Zhang, Xiaoming
    Zhao, Yao
    Li, Zhaozheng
    JOURNAL OF TRANSLATIONAL MEDICINE, 2018, 16
  • [22] Identification and validation of pyroptosis-related genes as potential biomarkers for hypertrophic cardiomyopathy: A comprehensive bioinformatics analysis
    Tang, Xin
    Shen, Yi
    Lu, Yun
    He, Wanya
    Nie, Ying
    Fang, Xue
    Cai, Jinghui
    Si, Xiaoyun
    Zhu, Yan
    MEDICINE, 2024, 103 (04) : E36799
  • [23] Identification and validation of an angiogenesis-related signature associated with preeclampsia by bioinformatic analysis
    Ma, Jiancai
    Wu, Hong
    Yang, Xiaofang
    Zheng, Lulu
    Feng, Haiqin
    Yang, Liping
    MEDICINE, 2023, 102 (05) : E32741
  • [24] Identification of host immune-related biomarkers in active tuberculosis: A comprehensive analysis of differentially expressed genes
    Ansari, Alisha
    Singh, Gajendra Pratap
    Singh, Mamtesh
    Singh, Harpreet
    TUBERCULOSIS, 2024, 148
  • [25] Identification of hub genes and their correlation with immune infiltrating cells in membranous nephropathy: an integrated bioinformatics analysis
    Han, Miaoru
    Wang, Yi
    Huang, Xiaoyan
    Li, Ping
    Liang, Xing
    Wang, Rongrong
    Bao, Kun
    EUROPEAN JOURNAL OF MEDICAL RESEARCH, 2023, 28 (01)
  • [26] Identification and analysis of inflammation-related biomarkers in tetralogy of Fallot
    Du, Junzhe
    Liu, Huaipu
    Wang, Pengcheng
    Wu, Wenzhi
    Zheng, Fengnan
    Wang, Yuanxiang
    Meng, Baoying
    TRANSLATIONAL PEDIATRICS, 2024, 13 (07)
  • [27] Identification of hub genes and their correlation with immune infiltrating cells in membranous nephropathy: an integrated bioinformatics analysis
    Miaoru Han
    Yi Wang
    Xiaoyan Huang
    Ping Li
    Xing Liang
    Rongrong Wang
    Kun Bao
    European Journal of Medical Research, 28
  • [28] Identification of blood-based key biomarker and immune infiltration in Immunoglobulin A nephropathy by comprehensive bioinformatics analysis and a cohort validation
    Jie Xu
    Xiahong Shen
    Xing Wei
    Jie Ding
    Jiaojiao Yuan
    Zhen Weng
    Yang He
    Journal of Translational Medicine, 20
  • [29] Ferroptosis-related biomarkers for Alzheimer's disease: Identification by bioinformatic analysis in hippocampus
    Wang, Binyang
    Fu, Chenyang
    Wei, Yuanyuan
    Xu, Bonan
    Yang, Rongxing
    Li, Chuanxiong
    Qiu, Meihua
    Yin, Yong
    Qin, Dongdong
    FRONTIERS IN CELLULAR NEUROSCIENCE, 2022, 16
  • [30] Identification of blood-based key biomarker and immune infiltration in Immunoglobulin A nephropathy by comprehensive bioinformatics analysis and a cohort validation
    Xu, Jie
    Shen, Xiahong
    Wei, Xing
    Ding, Jie
    Yuan, Jiaojiao
    Weng, Zhen
    He, Yang
    JOURNAL OF TRANSLATIONAL MEDICINE, 2022, 20 (01)