Zhu Mengchan, Ye Maosong, Wang Jian, Ye Ling, Jin Meiling
Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Int J Chron Obstruct Pulmon Dis. 2020 Sep 10;15:2135-2145. doi: 10.2147/COPD.S255262. eCollection 2020.
Chronic obstructive pulmonary disease (COPD) has become a major cause of morbidity and mortality worldwide. Increasing evidence indicates that aberrantly expressed microRNAs (miRNAs) are involved in the pathogenesis of COPD. However, an integrative exploration of miRNA-mRNA regulatory network in COPD plasma remains lacking.
The microarray datasets GSE24709, GSE61741, and GSE31568 were downloaded from the GEO database and analyzed using GEO2R tool to identify differentially expressed miRNAs (DEMs) between COPD and normal plasma. The consistently changing miRNAs in the three datasets were screened out as candidate DEMs. Potential upstream transcription factors and downstream target genes of candidate DEMs were predicted by FunRich and miRNet, respectively. Next, GO annotation and KEGG pathway enrichment analysis for target genes were performed using DAVID. Then, PPI and DEM-hub gene network were constructed using the STRING database and Cytoscape software. Finally, GSE56768 was used to evaluate the hub gene expressions.
A total of nine (six upregulated and three downregulated) DEMs were screened out in the above three datasets. SP1 was predicted to potentially regulate most of the downregulated DEMs, while YY1 and E2F1 could regulate both upregulated and downregulated DEMs. 1139 target genes were then predicted, including 596 upregulated DEM target genes and 543 downregulated DEM target genes. Target genes of DEMs were mainly enriched in PI3K/Akt signaling pathway, mTOR signaling pathway, and autophagy. Through the DEM-hub gene network construction, most of the hub genes were found to be potentially modulated by miR-497-5p, miR-130b-5p, and miR-126-5p. Among the top 12 hub genes, MYC and FOXO1 expressions were consistent with that in the GSE56768 dataset.
In the study, potential miRNA-mRNA regulatory network was firstly constructed in COPD plasma, which may provide a new insight into the pathogenesis and treatment of COPD.
慢性阻塞性肺疾病(COPD)已成为全球发病和死亡的主要原因。越来越多的证据表明,异常表达的微小RNA(miRNA)参与了COPD的发病机制。然而,对COPD血浆中miRNA - mRNA调控网络的综合探索仍然缺乏。
从GEO数据库下载微阵列数据集GSE24709、GSE61741和GSE31568,并使用GEO2R工具进行分析,以鉴定COPD血浆和正常血浆之间差异表达的miRNA(DEM)。筛选出三个数据集中一致变化的miRNA作为候选DEM。分别通过FunRich和miRNet预测候选DEM的潜在上游转录因子和下游靶基因。接下来,使用DAVID对靶基因进行GO注释和KEGG通路富集分析。然后,使用STRING数据库和Cytoscape软件构建PPI和DEM - 枢纽基因网络。最后,使用GSE56768评估枢纽基因表达。
在上述三个数据集中共筛选出9个(6个上调和3个下调)DEM。预测SP1可能调控大多数下调的DEM,而YY1和E2F1可以调控上调和下调的DEM。然后预测了1139个靶基因,包括596个上调DEM靶基因和543个下调DEM靶基因。DEM的靶基因主要富集在PI3K/Akt信号通路、mTOR信号通路和自噬中。通过构建DEM - 枢纽基因网络,发现大多数枢纽基因可能受miR - 497 - 5p、miR - 130b - 5p和miR - 126 - 5p调控。在前12个枢纽基因中,MYC和FOXO1的表达与GSE56768数据集中的一致。
在本研究中,首次在COPD血浆中构建了潜在的miRNA - mRNA调控网络,这可能为COPD的发病机制和治疗提供新的见解。