Department of Neurology, Fourth People's Hospital of Jinan, No. 50 Shifan Road, Tianqiao District, Jinan, 250031, Shandong Province, China.
J Mol Neurosci. 2018 Jul;65(3):312-318. doi: 10.1007/s12031-018-1102-6. Epub 2018 Jun 23.
Parkinson disease (PD) is one of the most frequent neurodegenerative disorders. The aim of this study was to identify blood biomarkers capable to discriminate PD patients with different progression rates. Differentially expressed genes (DEGs) were acquired by comparing the expression profiles of PD patients with rapid and slow progression rates, using an expression dataset from Gene Expression Omnibus (GEO) under accession code of GSE80599. Altered biological processes and pathways were revealed by functional annotation. Potential biomarkers of PD were identified by protein-protein interaction (PPI) network analysis. Critical transcription factors (TFs) and miRNAs regulating DEGs were predicted by TF analysis and miRNA analysis. A total of 225 DEGs were identified between PD patients with rapid and slow progression profiles. These genes were significantly enriched in biological processes and pathways related to fatty acid metabolism. Among these DEGs, ZFAND4, SRMS, UBL4B, PVALB, DIRAS1, PDP2, LRCH1, and MYL4 were potential progression rate associated biomarkers of PD. Additionally, these DEGs may be regulated by miRNAs of the miR-30 family and TFs STAT1 and GRHL3. Our results may contribute to our understanding of the molecular mechanisms underlying different PD progression profiles.
帕金森病（PD）是最常见的神经退行性疾病之一。本研究旨在鉴定能够区分具有不同进展速度的 PD 患者的血液生物标志物。通过比较 GEO 数据集（GEO 注册号为 GSE80599）中快速和缓慢进展 PD 患者的表达谱，获得差异表达基因（DEGs）。通过功能注释揭示了改变的生物学过程和途径。通过蛋白质-蛋白质相互作用（PPI）网络分析鉴定 PD 的潜在生物标志物。通过 TF 分析和 miRNA 分析预测调节 DEGs 的关键转录因子（TFs）和 miRNA。在快速和缓慢进展 PD 患者之间的表达谱中鉴定出 225 个 DEGs。这些基因在与脂肪酸代谢相关的生物学过程和途径中显著富集。在这些 DEGs 中，ZFAND4、SRMS、UBL4B、PVALB、DIRAS1、PDP2、LRCH1 和 MYL4 是 PD 进展速度相关的潜在生物标志物。此外，这些 DEGs 可能受 miR-30 家族和 TF STAT1 和 GRHL3 的 miRNA 调节。我们的结果可能有助于我们理解不同 PD 进展谱的分子机制。
