Karolinska Institutet, Stockholm, Sweden.
Allergy. 2009 Sep;64(9):1301-8. doi: 10.1111/j.1398-9995.2009.02009.x. Epub 2009 Apr 27.
Chronic noninfectious, nonallergic rhinitis (NINAR) is a complex syndrome with a principally unknown pathophysiology. New technology has made it possible to examine differentially expressed genes and according to network theory, genes connected by their function that might have key roles in the disease.
Connectivity analysis was used to identify NINAR key genes. mRNA was extracted from nasal biopsies from 12 NINAR patients and 12 healthy volunteers. Microarrays were performed using Affymetrix chips with 54 613 genes. Data were analysed with the Ingenuity Pathway System for organization of genes into annotated biological functions and, thereafter, linking genes into networks due to their connectivity. The regulation of key genes was confirmed with reverse transcription-polymerase chain reaction (RT-PCR).
In all, 43 genes were differentially expressed. The functional analysis showed that these genes were primarily involved in cellular movement, haematological system development and immune response. Merging these functions, 10 genes were found to be shared. Network analysis generated three networks and two of these 'shared genes' in key positions, c-fos and cell division cycle 42 (Cdc42). These genes were upregulated in both the array and the RT-PCR analysis.
Ten genes were found to be of pathophysiological interest for NINAR and of these, c-fos and Cdc42 seemed to be of specific interest due to their ability to interact with other genes of interest within this context. Although the role of c-fos and Cdc42 in upper airway inflammation remains unknown, they might be used as potential disease markers.
慢性非传染性、非过敏性鼻炎(NINAR)是一种复杂的综合征,其主要病理生理学尚不清楚。新技术使得检查差异表达基因成为可能,根据网络理论,通过其功能连接的基因可能在疾病中具有关键作用。
采用连接分析来识别 NINAR 的关键基因。从 12 名 NINAR 患者和 12 名健康志愿者的鼻活检组织中提取 mRNA。使用 Affymetrix 芯片进行微阵列分析,包含 54613 个基因。使用 Ingenuity Pathway System 对基因进行注释生物功能的组织,并根据它们的连接性将基因链接到网络中,对数据进行分析。使用逆转录-聚合酶链反应(RT-PCR)来验证关键基因的调控。
共有 43 个基因表达差异。功能分析表明,这些基因主要参与细胞运动、血液系统发育和免疫反应。将这些功能合并,发现有 10 个基因是共享的。网络分析生成了三个网络,其中两个“共享基因”处于关键位置,即 c-fos 和细胞分裂周期蛋白 42(Cdc42)。这两个基因在芯片和 RT-PCR 分析中均上调。
发现 10 个基因与 NINAR 的病理生理学相关,其中 c-fos 和 Cdc42 由于其在该背景下与其他感兴趣基因相互作用的能力,似乎具有特定的研究意义。尽管 c-fos 和 Cdc42 在上呼吸道炎症中的作用尚不清楚,但它们可能被用作潜在的疾病标志物。