Department of Nephrology, Xuanwu Hospital of Capital Medical University, Changchun Street 45#, 100053, Beijing, China.
Central Hospital of Cangzhou, Xinhua Middle Street 201#, 061001, Cangzhou, Hebei Province, China.
Sci Rep. 2018 Mar 22;8(1):5017. doi: 10.1038/s41598-018-23492-2.
We aim to identify the key protein interaction networks and implicated pathways of BK virus nephropathy (BKVN) via bioinformatic methods. The microarray data GSE75693 of 30 patients with stable kidney transplantation and 15 with BKVN were downloaded and analyzed by using the limma package to identify differentially expressed genes (DEGs). Then the gene ontology (GO) functional enrichment analysis and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were done to investigate the molecular function (MF), biological process (BP), cellular components (CC) and pathways of DEGs. Finally, protein-protein interactions (PPIs) were constructed, and the hub proteins were identified. As a result, 249 up-regulated genes and 253 down-regulated genes of BKVN patients were selected based on criteria of P > 0.01 and fold change >2.0. GO and KEGG showed that DEGs were mainly located in nucleus and cytosol, and were implicated in the immune responses. In the PPI analysis, 26 up-regulated and 8 down-regulated proteins composed the pivotal interaction network. CXCL10, EGF and STAT1 were identified as hub proteins in BKVN. In conclusion, CXCL10, EGF and STAT1 may induce kidney injuries by promoting inflammation and prohibiting reparation of tissue damage in BKVN.
我们旨在通过生物信息学方法鉴定 BK 病毒肾病 (BKVN) 的关键蛋白相互作用网络和相关途径。下载并分析了 30 例稳定肾移植患者和 15 例 BKVN 患者的微阵列数据 GSE75693,使用 limma 包识别差异表达基因 (DEGs)。然后进行基因本体 (GO) 功能富集分析和京都基因与基因组百科全书 (KEGG) 途径分析,以研究 DEGs 的分子功能 (MF)、生物过程 (BP)、细胞成分 (CC) 和途径。最后,构建蛋白质-蛋白质相互作用 (PPI),并鉴定关键蛋白。结果表明,根据 P 值 > 0.01 和倍数变化 >2.0 的标准,从 BKVN 患者中选择了 249 个上调基因和 253 个下调基因。GO 和 KEGG 显示 DEGs 主要位于细胞核和细胞质中,参与免疫反应。在 PPI 分析中,26 个上调和 8 个下调蛋白组成了关键的相互作用网络。CXCL10、EGF 和 STAT1 被鉴定为 BKVN 中的关键蛋白。总之,CXCL10、EGF 和 STAT1 可能通过促进炎症和抑制组织损伤修复来诱导 BKVN 中的肾脏损伤。