Sircar Gaurab, Saha Bodhisattwa, Bhattacharya Swati G, Saha Sudipto
Division of Plant Biology, Bose Institute Kolkata, India.
Bioinformatics Center, Bose Institute Kolkata, India.
Front Genet. 2014 Jan 8;4:308. doi: 10.3389/fgene.2013.00308.
Asthma is characterized by lung inflammation caused by complex interaction between the immune system and environmental factors such as allergens and inorganic pollutants. Recent research in this field is focused on discovering new biomarkers associated with asthma pathogenesis. This review illustrates updated research associating biomarkers of allergic asthma and their potential use in systems biology of the disease. We focus on biomolecules with altered expression, which may serve as inflammatory, diagnostic and therapeutic biomarkers of asthma discovered in human or experimental asthma model using genomic, proteomic and epigenomic approaches for gene and protein expression profiling. These include high-throughput technologies such as state of the art microarray and proteomics Mass Spectrometry (MS) platforms. Emerging concepts of molecular interactions and pathways may provide new insights in searching potential clinical biomarkers. We summarized certain pathways with significant linkage to asthma pathophysiology by analyzing the compiled biomarkers. Systems approaches with this data can identify the regulating networks, which will eventually identify the key biomarkers to be used for diagnostics and drug discovery.
哮喘的特征是由免疫系统与环境因素(如过敏原和无机污染物)之间的复杂相互作用引起的肺部炎症。该领域的最新研究集中在发现与哮喘发病机制相关的新生物标志物。这篇综述阐述了与过敏性哮喘生物标志物相关的最新研究及其在该疾病系统生物学中的潜在应用。我们关注表达发生改变的生物分子,这些分子可能作为哮喘的炎症、诊断和治疗生物标志物,它们是在人类或实验性哮喘模型中,使用基因组学、蛋白质组学和表观基因组学方法进行基因和蛋白质表达谱分析时发现的。这些技术包括诸如最先进的微阵列和蛋白质组学质谱(MS)平台等高通量技术。分子相互作用和信号通路的新兴概念可能为寻找潜在的临床生物标志物提供新的见解。我们通过分析汇编的生物标志物,总结了某些与哮喘病理生理学有显著关联的信号通路。利用这些数据的系统方法可以识别调控网络,最终确定用于诊断和药物研发的关键生物标志物。