基于转录组测序分析的转化生长因子-β1诱导肾纤维化的机制。

Huanan Li, Peifen Li, Shanyi Li, Xueying Zhang, Xinru Dong, Ming Yang, Weigan Shen
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引用次数: 0

摘要

目的:探讨转化生长因子-β1(TGF-β1)诱导肾纤维化的机制。方法:对加入和不加入TGF-β1的肾成纤维细胞NRK-49F细胞进行RNA-seq分析。DESeq2用于分析。以错误发现率1为标准筛选差异表达基因。对差异表达基因进行基因本体论(GO)和京都基因和基因组百科全书(KEGG)途径富集分析。编码转录因子的基因进一步筛选差异表达基因。然后,使用单侧输尿管梗阻(UUO)诱导的小鼠肾纤维化模型和公共基因表达数据集(GSE104954)验证这些基因在肾纤维化过程中的表达。结果:TGF-β1治疗6、12和24小时后,分别鉴定出552、1209和1028个差异表达基因。GO分析表明,这些基因在发育、细胞死亡和细胞迁移中显著富集。KEGG通路分析显示,在TGF-β1诱导的早期(TGF-β处理6h),观察到Hippo、TGF-β和Wnt信号通路的变化,而在TGF-α1诱导的晚期(TGF-α处理24h),主要富集细胞外基质受体相互作用、局灶粘附和粘附分子连接的变化。在用TGF-β1处理6小时的291个上调的差异表达基因中,13个基因(Snai1、Irf8、Bhlhe40、Junb、Arid5a、Vdr、Lef1、Ahr、Foxo1、Myc、Tcf7、Foxc2、Glis1)编码转录因子。在细胞模型中的验证表明,TGF-β1诱导了9个转录因子(由Snai1、Irf8、Bhlhe40、Junb、Arid5a、Vdr、Lef1、Myc、Tcf7编码)的表达,而其他4个基因的表达水平在TGF-β处理后没有显著变化。UUO诱导的小鼠肾纤维化模型的验证结果显示,UUO后Snai1、Irf8、Bhlhe40、Junb、Arid5a、Myc和Tcf7上调,Vdr下调,Lef1无显著变化。基于GSE104954数据集的验证表明,IRF8在糖尿病肾病或IgA肾病患者的肾小管间质中显著过表达,MYC在糖尿病肾病中高表达,其他7个基因的表达与对照组相比没有显著差异。结论:TGF-β1在肾成纤维细胞中诱导差异表达基因,其中Irf8和Myc被确定为慢性肾脏疾病和肾纤维化的潜在靶点。
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Mechanism of transforming growth factor-β1 induce renal fibrosis based on transcriptome sequencing analysis.

Objectives: To explore the mechanism of transforming growth factor-β1 (TGF-β1) induce renal fibrosis.

Methods: Renal fibroblast NRK-49F cells treated with and without TGF-β1 were subjected to RNA-seq analysis. DESeq2 was used for analysis. Differentially expressed genes were screened with the criteria of false discovery rate<0.05 and l o g 2 F C >1. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed for differentially expressed genes. Genes encoding transcription factors were further screened for differential expression genes. Then, the expression of these genes during renal fibrosis was verified using unilateral ureteral obstruction (UUO)-induced mouse renal fibrosis model and a public gene expression dataset (GSE104954).

Results: After TGF-β1 treatment for 6, 12 and 24 h, 552, 1209 and 1028 differentially expressed genes were identified, respectively. GO analysis indicated that these genes were significantly enriched in development, cell death, and cell migration. KEGG pathway analysis showed that in the early stage of TGF-β1 induction (TGF-β1 treatment for 6 h), the changes in Hippo, TGF-β and Wnt signaling pathways were observed, while in the late stage of TGF-β1 induction (TGF-β1 treatment for 24 h), the changes of extracellular matrix-receptor interaction, focal adhesion and adherens junction were mainly enriched. Among the 291 up-regulated differentially expressed genes treated with TGF-β1 for 6 h, 13 genes (Snai1, Irf8, Bhlhe40, Junb, Arid5a, Vdr, Lef1, Ahr, Foxo1, Myc, Tcf7, Foxc2, Glis1) encoded transcription factors. Validation in a cell model showed that TGF-β1 induced expression of 9 transcription factors (encoded by Snai1, Irf8, Bhlhe40, Junb, Arid5a, Vdr, Lef1, Myc, Tcf7), while the expression levels of the other 4 genes did not significantly change after TGF-β1 treatment. Validation results in UUO-induced mouse renal fibrosis model showed that Snai1, Irf8, Bhlhe40, Junb, Arid5a, Myc and Tcf7 were up-regulated after UUO, Vdr was down-regulated and there was no significant change in Lef1. Validation based on the GSE104954 dataset showed that IRF8 was significantly overexpressed in the renal tubulointerstitium of patients with diabetic nephropathy or IgA nephropathy, MYC was highly expressed in diabetic nephropathy, and the expressions of the other 7 genes were not significantly different compared with the control group.

Conclusions: TGF-β1 induces differentially expressed genes in renal fibroblasts, among which Irf8 and Myc were identified as potential targets of chronic kidney disease and renal fibrosis.

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