Kim Ho-Youn, Kim Hae-Rim, Lee Sang-Heon
Division of Rheumatology, Department of Internal Medicine, Konkuk University Medical Center, Seoul 143-729, Korea.
Division of Rheumatology, Department of Internal Medicine, Konkuk University School of Medicine, Seoul 143-729, Korea.
Immune Netw. 2014 Apr;14(2):73-80. doi: 10.4110/in.2014.14.2.73. Epub 2014 Apr 21.
Because autoimmune diseases (AIDs) result from a complex combination of genetic and epigenetic factors, as well as an altered immune response to endogenous or exogenous antigens, systems biology approaches have been widely applied. The use of multi-omics approaches, including blood transcriptomics, genomics, epigenetics, proteomics, and metabolomics, not only allow for the discovery of a number of biomarkers but also will provide new directions for further translational AIDs applications. Systems biology approaches rely on high-throughput techniques with data analysis platforms that leverage the assessment of genes, proteins, metabolites, and network analysis of complex biologic or pathways implicated in specific AID conditions. To facilitate the discovery of validated and qualified biomarkers, better-coordinated multi-omics approaches and standardized translational research, in combination with the skills of biologists, clinicians, engineers, and bioinformaticians, are required.
由于自身免疫性疾病(AIDs)是由遗传和表观遗传因素的复杂组合,以及对内源性或外源性抗原的免疫反应改变所导致的,因此系统生物学方法已被广泛应用。使用多组学方法,包括血液转录组学、基因组学、表观遗传学、蛋白质组学和代谢组学,不仅能够发现大量生物标志物,还将为进一步的自身免疫性疾病转化应用提供新方向。系统生物学方法依赖于高通量技术以及数据分析平台,这些平台利用对基因、蛋白质、代谢物的评估以及对特定自身免疫性疾病状况中涉及的复杂生物学或通路的网络分析。为了促进经过验证和合格的生物标志物的发现,需要更好地协调多组学方法和标准化的转化研究,并结合生物学家、临床医生、工程师和生物信息学家的技能。