Leveraging -omics for asthma endotyping

组学 内型 喘息 哮喘 疾病 代谢组学 医学 模式 蛋白质组学 亚型 表观遗传学 生物信息学 计算生物学 数据科学 计算机科学 生物 免疫学 病理 社会科学 生物化学 基因表达 DNA甲基化 社会学 基因 程序设计语言
作者
Scott R. Tyler,Supinda Bunyavanich
出处
期刊:The Journal of Allergy and Clinical Immunology [Elsevier]
卷期号:144 (1): 13-23 被引量:82
标识
DOI:10.1016/j.jaci.2019.05.015
摘要

Asthma is a highly heterogeneous disease, often manifesting with wheeze, dyspnea, chest tightness, and cough as prominent symptoms. The eliciting factors, natural history, underlying molecular biology, and clinical management of asthma vary highly among affected subjects. Because of this variation, many efforts have gone into subtyping asthma. Endotypes are subtypes of disease based on distinct pathophysiologic mechanisms. Endotypes can be clinically useful because they organize our mechanistic understanding of heterogeneous diseases and can direct treatment toward modalities that are likely to be the most effective. Asthma endotyping can be shaped by clinical features, laboratory parameters, and/or -omics approaches. We discuss the application of -omics approaches, including transcriptomics, epigenomics, microbiomics, metabolomics, and proteomics, to asthma endotyping. -Omics approaches have provided supporting evidence for many existing endotyping paradigms and also suggested novel ways to conceptualize asthma endotypes. Although endotypes based on single -omics approaches are relatively common, their integrated multi-omics application to asthma endotyping has been more limited thus far. We discuss paths forward to integrate multi-omics with clinical features and laboratory parameters to achieve the goal of precise asthma endotypes.

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