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肾结石免疫浸润相关ceRNA网络的构建与分析

Construction and Analysis of Immune Infiltration-Related ceRNA Network for Kidney Stones.

作者信息

Xia Yuqi, Zhou Xiangjun, Ye Zehua, Yu Weimin, Ning Jinzhuo, Ruan Yuan, Yuan Run, Lin Fangyou, Ye Peng, Zheng Di, Rao Ting, Cheng Fan

机构信息

Department of Urology, Renmin Hospital of Wuhan University, Wuhan, China.

出版信息

Front Genet. 2021 Dec 6;12:774155. doi: 10.3389/fgene.2021.774155. eCollection 2021.

Abstract

Kidney stones is a common medical issue that mediates kidney injury and even kidney function loss. However, the exact pathogenesis still remains unclear. This study aimed to explore the potential competing endogenous RNA (ceRNA)-related pathogenesis of kidney stones and identify the corresponding immune infiltration signature. One mRNA and one long non-coding RNA (lncRNA) microarray dataset was obtained from the GEO database. Subsequently, we compared differentially expressed mRNAs (DE-mRNAs) and lncRNAs between Randall's plaques in patients with calcium oxalate (CaOx) stones and controls with normal papillary tissues. lncRNA-targeted miRNAs and miRNA-mRNA pairs were predicted using the online databases. lncRNA-related DE-mRNAs were identified using the Venn method, and GO and KEGG enrichment analyses were subsequently performed. The immune-related lncRNA-miRNA-mRNA ceRNA network was developed. The CIBERSORT algorithm was used to estimate the rate of immune cell infiltration in Randall's plaques. The ceRNA network and immune infiltration were validated in the glyoxylate-induced hyperoxaluric mouse model and oxalate-treated HK-2 cells. We identified 2,340 DE-mRNAs and 929 DE-lncRNAs between Randall's plaques in patients with CaOx stones and controls with normal papillary tissues. lncRNA-related DE-mRNAs were significantly enriched in extracellular matrix organization and collagen-containing extracellular matrix, which were associated with kidney interstitial fibrosis. The immune-related ceRNA network included 10 lncRNAs, 23 miRNAs, and 20 mRNAs. Moreover, we found that M2 macrophages and resting mast cells were differentially expressed between Randall's plaques and normal tissues. Throughout kidney stone development, kidney tubular injury, crystal deposition, collagen fiber deposition, TGF-β expression, infiltration of M1 macrophages, and activation of mast cells were more frequent in glyoxylate-induced hyperoxaluric mice compared with control mice. Nevertheless, M2 macrophage infiltration increased in early stages (day 6) and decreased as kidney stones progressed (day 12). Furthermore, treatment with 0.25 and 0.5 mM of oxalate for 48 h significantly upregulated NEAT1, PVT1, CCL7, and ROBO2 expression levels and downregulated hsa-miR-23b-3p, hsa-miR-429, and hsa-miR-139-5p expression levels in the HK-2 cell line in a dose-dependent manner. We found that significant expressions of ceRNAs (NEAT1, PVT1, hsa-miR-23b-3p, hsa-miR-429, hsa-miR-139-5p, CCL7, and ROBO2) and infiltrating immune cells (macrophages and mast cells) may be involved in kidney stone pathogenesis. These findings provide novel potential therapeutic targets for kidney stones.

摘要

肾结石是一种常见的医学问题,可介导肾损伤甚至肾功能丧失。然而,其确切发病机制仍不清楚。本研究旨在探讨肾结石潜在的竞争性内源性RNA(ceRNA)相关发病机制,并确定相应的免疫浸润特征。从基因表达综合数据库(GEO数据库)获得了一个mRNA和一个长链非编码RNA(lncRNA)微阵列数据集。随后,我们比较了草酸钙(CaOx)结石患者的兰德尔斑与正常乳头组织对照之间的差异表达mRNA(DE-mRNA)和lncRNA。使用在线数据库预测lncRNA靶向的miRNA和miRNA-mRNA对。使用维恩方法鉴定lncRNA相关的DE-mRNA,随后进行基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析。构建了免疫相关的lncRNA-miRNA-mRNA ceRNA网络。使用CIBERSORT算法估计兰德尔斑中免疫细胞浸润率。在乙醛酸诱导的高草酸尿小鼠模型和草酸处理的HK-2细胞中验证了ceRNA网络和免疫浸润。我们发现CaOx结石患者的兰德尔斑与正常乳头组织对照之间有2340个DE-mRNA和929个DE-lncRNA。lncRNA相关的DE-mRNA在细胞外基质组织和含胶原细胞外基质中显著富集,这与肾间质纤维化有关。免疫相关的ceRNA网络包括10个lncRNA、23个miRNA和20个mRNA。此外,我们发现兰德尔斑与正常组织之间M2巨噬细胞和静息肥大细胞存在差异表达。在整个肾结石形成过程中,与对照小鼠相比,乙醛酸诱导的高草酸尿小鼠肾小管损伤、晶体沉积、胶原纤维沉积、转化生长因子-β(TGF-β)表达、M1巨噬细胞浸润和肥大细胞活化更为频繁。然而,M2巨噬细胞浸润在早期(第6天)增加,随着肾结石进展(第12天)减少。此外,用0.25和0.5 mM草酸处理48小时,以剂量依赖方式显著上调HK-2细胞系中NEAT1、PVT1、CC趋化因子配体7(CCL7)和Roundabout同源物2(ROBO2)表达水平,并下调hsa-miR-23b-3p、hsa-miR-429和hsa-miR-139-5p表达水平。我们发现ceRNAs(NEAT1、PVT1、hsa-miR-23b-3p、hsa-miR-429、hsa-miR-139-5p、CCL7和ROBO2)的显著表达以及浸润免疫细胞(巨噬细胞和肥大细胞)可能参与肾结石发病机制。这些发现为肾结石提供了新的潜在治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/425a/8686191/b22bfc09f588/fgene-12-774155-g001.jpg

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