Wang Xi, Ning Yujie, Guo Xiong
School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, Xi'an, Shaanxi 710061, P.R. China.
Mol Med Rep. 2015 Sep;12(3):3439-3445. doi: 10.3892/mmr.2015.3790. Epub 2015 May 15.
The aim of the present study was to identify differentially expressed (DE) genes in patients with osteoarthritis (OA), and biological processes associated with changes in gene expression that occur in this disease. Using the INMEX (integrative meta‑analysis of expression data) software tool, a meta‑analysis of publicly available microarray Gene Expression Omnibus (GEO) datasets of OA was performed. Gene ontology (GO) enrichment analysis was performed in order to detect enriched functional attributes based on gene‑associated GO terms. Three GEO datasets, containing 137 patients with OA and 52 healthy controls, were included in the meta‑analysis. The analysis identified 85 genes that were consistently differentially expressed in OA (30 genes were upregulated and 55 genes were downregulated). The upregulated gene with the lowest P‑value (P=5.36E‑07) was S‑phase kinase‑associated protein 2, E3 ubiquitin protein ligase (SKP2). The downregulated gene with the lowest P‑value (P=4.42E‑09) was Proline rich 5 like (PRR5L). Among the 210 GO terms that were associated with the set of DE genes, the most significant two enrichments were observed in the GO categories of 'Immune response', with a P‑value of 0.000129438, and 'Immune effectors process', with a P‑value of 0.000288619. The current meta‑analysis identified genes that were consistently DE in OA, in addition to biological pathways associated with changes in gene expression that occur during OA, which may provide insight into the molecular mechanisms underlying the pathogenesis of this disease.
本研究的目的是鉴定骨关节炎（OA）患者中差异表达（DE）的基因，以及与该疾病中发生的基因表达变化相关的生物学过程。使用INMEX（表达数据综合荟萃分析）软件工具，对公开可用的OA微阵列基因表达综合数据库（GEO）数据集进行了荟萃分析。进行基因本体（GO）富集分析，以便基于与基因相关的GO术语检测富集的功能属性。荟萃分析纳入了三个GEO数据集，包含137例OA患者和52例健康对照。分析确定了85个在OA中持续差异表达的基因（30个基因上调，55个基因下调）。P值最低（P = 5.36E - 07）的上调基因是S期激酶相关蛋白2，E3泛素蛋白连接酶（SKP2）。P值最低（P = 4.42E - 09）的下调基因是富含脯氨酸的5样蛋白（PRR5L）。在与DE基因集相关的210个GO术语中，在“免疫反应”的GO类别中观察到最显著的两个富集，P值为0.000129438，在“免疫效应过程”中，P值为0.000288619。当前的荟萃分析确定了在OA中持续DE的基因，以及与OA期间发生的基因表达变化相关的生物学途径，这可能有助于深入了解该疾病发病机制的分子机制。
