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
  • [1] Prediction of biomarkers associated with membranous nephropathy: Bioinformatic analysis and experimental validation
    Han, Miaoru
    Wang, Yi
    Huang, Xiaoyan
    Li, Ping
    Shan, Wenjun
    Gu, Haowen
    Wang, Houchun
    Zhang, Qinghua
    Bao, Kun
    INTERNATIONAL IMMUNOPHARMACOLOGY, 2024, 126
  • [2] Identification and validation of biomarkers in membranous nephropathy and pan-cancer analysis
    Yang, Yue
    Zou, Gu-ming
    Wei, Xian-sen
    Zhang, Zheng
    Zhuo, Li
    Xu, Qian-qian
    Li, Wen-ge
    FRONTIERS IN IMMUNOLOGY, 2024, 15
  • [3] Identification of Lipotoxicity-Related Biomarkers in Diabetic Nephropathy Based on Bioinformatic Analysis
    Nie, Han
    Yang, Huan
    Cheng, Lidan
    Yu, Jianxin
    JOURNAL OF DIABETES RESEARCH, 2024, 2024
  • [4] Identification of key biomarkers in diabetic nephropathy via bioinformatic analysis
    Zeng, Mengru
    Liu, Jialu
    Yang, Wenxia
    Zhang, Shumin
    Liu, Fuyou
    Dong, Zheng
    Peng, Youming
    Sun, Lin
    Xiao, Li
    JOURNAL OF CELLULAR BIOCHEMISTRY, 2019, 120 (05) : 8676 - 8688
  • [5] Identification of Hub Genes and Immune-Related Pathways for Membranous Nephropathy by Bioinformatics Analysis
    Cai, Xiao-Yu
    Wang, Zu-Feng
    Ge, Shu-Wang
    Xu, Gang
    FRONTIERS IN PHYSIOLOGY, 2022, 13
  • [6] Identification of molecular mechanism and key biomarkers in membranous nephropathy by bioinformatics analysis
    Dong, Zhaocheng
    Geng, Yunling
    Zhang, Pingna
    Tang, Jingyi
    Cao, Zijing
    Zheng, Huijuan
    Guo, Jing
    Zhang, Chao
    Liu, Baoli
    Liu, Wei Jing
    AMERICAN JOURNAL OF TRANSLATIONAL RESEARCH, 2022, 14 (08): : 5833 - +
  • [7] Identification of ferroptosis related biomarkers and immune infiltration in Parkinson's disease by integrated bioinformatic analysis
    Xing, Na
    Dong, Ziye
    Wu, Qiaoli
    Zhang, Yufeng
    Kan, Pengcheng
    Han, Yuan
    Cheng, Xiuli
    Wang, Yaru
    Zhang, Biao
    BMC MEDICAL GENOMICS, 2023, 16 (01)
  • [8] Identification of ferroptosis related biomarkers and immune infiltration in Parkinson’s disease by integrated bioinformatic analysis
    Na Xing
    Ziye Dong
    Qiaoli Wu
    Yufeng Zhang
    Pengcheng Kan
    Yuan Han
    Xiuli Cheng
    Yaru Wang
    Biao Zhang
    BMC Medical Genomics, 16
  • [9] Bioinformatic Analysis Reveals Novel Immune-Associated Hub Genes in Human Membranous Nephropathy
    Tang, Wanxin
    Wang, Zheng
    Cao, Yiling
    Zhang, Dongmei
    Mi, Xuhua
    GENETIC TESTING AND MOLECULAR BIOMARKERS, 2019, 23 (01) : 23 - 31
  • [10] Identification of novel biomarkers and immune infiltration characteristics of ischemic stroke based on comprehensive bioinformatic analysis and machine learning
    Hu, Shiyu
    Cai, Jingjing
    Chen, Sizhan
    Wang, Yang
    Ren, Lijie
    BIOCHEMISTRY AND BIOPHYSICS REPORTS, 2024, 37