Li Bin, Li Suchun, Fan Yuting, Diao Hui, Ye Siyang, Peng Huajing, Chen Wei
Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
NHC Key Laboratory of Clinical Nephrology (Sun Yat-Sen University), Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China.
Front Genet. 2022 May 4;13:838863. doi: 10.3389/fgene.2022.838863. eCollection 2022.
The commonalities and differences regarding immune states between glomerular and tubulointerstitial compartments of IgA nephropathy (IgAN) remains largely undetermined. We aim to perform bioinformatic analysis for providing a comprehensive insight into the characteristics of immune cells and associated molecular mechanisms in IgAN. We performed integrated bioinformatic analyses by using IgAN-related datasets from the Gene Expression Omnibus database. First, the differentially expressed genes (DEGs) were identified and subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. Then, CIBERSORT was employed to determine the landscape of infiltrating immune cells in both glomerular and tubulointerstitial compartments of IgAN patients, followed by Pearson's correlation analysis and principal component analysis (PCA). Finally, commonly shared DEGs between glomerular and tubulointerstitial entities were recognized, followed by correlation analyses to identify the dominant commonly shared DEGs associated with immune cell infiltration in IgAN. GO and KEGG enrichment analyses showed apparently distinct biological processes in the glomerular and tubulointerstitial compartments of IgAN. In addition, CIBERSORT analyses revealed a clear trend of increasing proportions of M1 macrophage and M2 macrophage in the glomerular compartment while noticeably higher proportions of resting CD4 memory T cells and M2 macrophages in the tubulointerstitial compartments. The PCA analyses showed that the varying composition of immune cells in both glomerular and tubulointerstitial entities was compelling to distinguish IgAN patients from healthy living controls. In addition, 21 commonly shared DEGs between glomerular and tubulointerstitial entities were recognized as key regulators in the pathogenesis of IgAN, among which the enhanced hemoglobin subunit beta () gene expression was found to be positively associated with M2 macrophage in the glomerular compartment and resting CD4 memory T cells in the tubulointerstitial compartment. Most importantly, FBJ murine osteosarcoma viral oncogene homolog B () gene deficiency was recognized as the dominant alteration in promoting M2 macrophage infiltration in the glomerular compartment of IgAN. The findings from our current study for the first time reveal commonalities and differences regarding immune states between glomerular and tubulointerstitial compartments, as well as decode the essential role of M2 macrophages and associated molecular patterns within the microenvironments of IgAN.
IgA肾病(IgAN)肾小球和肾小管间质区域免疫状态的异同仍很大程度上未明确。我们旨在进行生物信息学分析,以全面洞察IgAN中免疫细胞的特征及相关分子机制。我们使用来自基因表达综合数据库的IgAN相关数据集进行了综合生物信息学分析。首先,鉴定差异表达基因(DEG)并进行基因本体论(GO)和京都基因与基因组百科全书(KEGG)通路富集分析。然后,采用CIBERSORT确定IgAN患者肾小球和肾小管间质区域浸润免疫细胞的格局,随后进行Pearson相关性分析和主成分分析(PCA)。最后,识别肾小球和肾小管间质实体之间共同的DEG,接着进行相关性分析以确定与IgAN中免疫细胞浸润相关的主要共同DEG。GO和KEGG富集分析显示IgAN肾小球和肾小管间质区域存在明显不同的生物学过程。此外,CIBERSORT分析揭示,肾小球区域M1巨噬细胞和M2巨噬细胞比例有明显增加趋势,而肾小管间质区域静息CD4记忆T细胞和M2巨噬细胞比例明显更高。PCA分析表明,肾小球和肾小管间质实体中免疫细胞组成的变化足以将IgAN患者与健康对照区分开来。此外,肾小球和肾小管间质实体之间的21个共同DEG被识别为IgAN发病机制中的关键调节因子,其中血红蛋白亚基β()基因表达增强被发现与肾小球区域的M2巨噬细胞以及肾小管间质区域的静息CD4记忆T细胞呈正相关。最重要的是,FBJ小鼠骨肉瘤病毒癌基因同源物B()基因缺陷被认为是促进IgAN肾小球区域M2巨噬细胞浸润的主要改变。我们当前研究的结果首次揭示了肾小球和肾小管间质区域免疫状态的异同,并解读了M2巨噬细胞在IgAN微环境中的重要作用及相关分子模式。