He Yujie, Cao Wenjun, Hao Weiwei, Ma Yifan, Li Ying, Ma Yuting, Lin Lin, Li Wei
Department of Rheumatology, The First Affiliated Hospital of Zhengzhou University, NO. 1, Jianshe East Road, Zhengzhou, 450052, Henan Province, China.
The First Clinical School of Zhengzhou University, No. 40, University North Road, Zhengzhou, 450052, Henan Province, China.
Clin Exp Med. 2025 Aug 11;25(1):289. doi: 10.1007/s10238-025-01841-6.
This study aimed to investigate the profiles of immune response-related proteins in patients with anti-neutrophil cytoplasmic antibody (ANCA)-associated glomerulonephritis (ANCA-GN) and identify potential biomarkers for this disease. Plasma was collected from patients with ANCA-GN and healthy controls (HCs). Immune-related proteins were measured using the Immune Response Panel 80-Plex. Differentially expressed proteins (DEPs) were used to differentiate patients with ANCA-GN from HCs via ROC analysis. The prediction performance of the potential biomarkers was assessed using the area under the curve (AUC). Detection results for the immune response-related proteins showed 54 DEPs between ANCA-GN patients and HCs. KEGG enrichment analysis of these 54 DEPs revealed that were mainly enriched in chemokine signaling pathway, IL17 signaling pathway, and JAK-STAT signaling pathway. Among the top 14 core proteins in the protein-protein interaction network, 8 were closely related to renal function, namely IL1A, IFNG, CXCL9, CXCL10, CXCL11, IL4, IL5, and CCL11. The performance of the potential biomarkers for discriminate ANCA-GN was as follows: CCL11, AUC: 0.998; IL4, AUC: 0.950; CXCL9, AUC: 0.917; CXCL10, AUC: 0.887; CXCL11, AUC: 0.807; and IFNG, AUC: 0.821 (all P < 0.001). Distinct immune-related protein profiles were identified in ANCA-GN, and present study revealed that CCL11, IL4, CXCL9, CXCL10, CXCL11, and IFNG could act as potential biomarkers for this disease. In addition, these circulating immune mediators are closely associated with renal function.
本研究旨在调查抗中性粒细胞胞浆抗体(ANCA)相关肾小球肾炎(ANCA-GN)患者免疫反应相关蛋白的概况,并确定该疾病的潜在生物标志物。收集ANCA-GN患者和健康对照(HCs)的血浆。使用免疫反应80蛋白组检测免疫相关蛋白。通过ROC分析,使用差异表达蛋白(DEPs)区分ANCA-GN患者和HCs。利用曲线下面积(AUC)评估潜在生物标志物的预测性能。免疫反应相关蛋白的检测结果显示,ANCA-GN患者和HCs之间有54种DEPs。对这54种DEPs进行KEGG富集分析发现,它们主要富集在趋化因子信号通路、IL17信号通路和JAK-STAT信号通路中。在蛋白质-蛋白质相互作用网络的前14个核心蛋白中,有8个与肾功能密切相关,即IL1A、IFNG、CXCL9、CXCL10、CXCL11、IL4、IL5和CCL11。潜在生物标志物区分ANCA-GN的性能如下:CCL11,AUC:0.998;IL4,AUC:0.950;CXCL9,AUC:0.917;CXCL10,AUC:0.887;CXCL11,AUC:0.807;IFNG,AUC:0.821(所有P<0.001)。在ANCA-GN中鉴定出了不同的免疫相关蛋白谱,本研究表明CCL11、IL4、CXCL9、CXCL10、CXCL11和IFNG可作为该疾病的潜在生物标志物。此外,这些循环免疫介质与肾功能密切相关。