Department of Neurology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, P.R. China.
Department of Emergency, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai 200071, P.R. China.
Int J Mol Med. 2014 Feb;33(2):457-61. doi: 10.3892/ijmm.2013.1575. Epub 2013 Dec 4.
In this study, gene expression profiles in peripheral blood monocytes from patients with Alzheimer's disease (AD) or mild cognitive impairment (MCI) were compared with those of healthy individuals to identify key differentially expressed genes (DEGs), in an effort to broaden our understanding of the pathogenesis of these diseases and identify potential therapeutic targets. The microarray data set GSE18309 was downloaded from Gene Expression Omnibus, including 3 AD, 3 MCI and 3 normal control (NC) samples. Raw data were processed and differential analysis was performed using the R multtest package. Two groups of comparisons (AD vs. NC and MCI vs. NC) were conducted and two groups of DEGs were acquired. The common DEGs were selected, for which functional enrichment analysis, as well as pathway enrichment analysis were performed to determine their roles in the development of the diseases in question. A total of 405 DEGs were identified in the AD vs. NC samples and 395 in the MCI vs. NC samples. A total of 60 common DEGs were obtained. Functional enrichment analysis revealed that the most common functions of the DEGs identified were response to nutrients, muscle contraction and cellular homeostasis. As shown by pathway enrichment analysis, the most common pathway associated with the DEGs identifed was the neuroactive ligand-receptor interaction pathway. A range of DEGs was identified in the present study, which may help to disclose the molecular mechanisms responsible for AD and may thus provide potential novel therapeutic strategies for Ad.
在这项研究中，比较了阿尔茨海默病（AD）或轻度认知障碍（MCI）患者外周血单核细胞中的基因表达谱与健康个体的基因表达谱，以确定关键的差异表达基因（DEGs），努力拓宽我们对这些疾病发病机制的理解，并确定潜在的治疗靶点。从基因表达综合数据库中下载了微阵列数据集 GSE18309，其中包括 3 例 AD、3 例 MCI 和 3 例正常对照（NC）样本。使用 R multtest 包处理原始数据并进行差异分析。进行了两组比较（AD 与 NC 和 MCI 与 NC），并获得了两组 DEGs。选择常见的 DEGs，对其进行功能富集分析和通路富集分析，以确定它们在疾病发展中的作用。在 AD 与 NC 样本中鉴定出 405 个 DEG，在 MCI 与 NC 样本中鉴定出 395 个 DEG。共获得 60 个常见 DEG。功能富集分析表明，鉴定出的 DEGs 最常见的功能是对营养物质的反应、肌肉收缩和细胞内稳态。通路富集分析表明，与鉴定出的 DEGs 最相关的通路是神经活性配体-受体相互作用通路。本研究鉴定出一系列 DEGs，可能有助于揭示 AD 的分子机制，并为 Ad 提供潜在的新治疗策略。
