Fouka Evangelia, Domvri Kalliopi, Gkakou Foteini, Alevizaki Maria, Steiropoulos Paschalis, Papakosta Despoina, Porpodis Konstantinos
G. Papanikolaou General Hospital, Thessaloniki, Greece.
Pulmonary Department of Aristotle University of Thessaloniki, Thessaloniki, Greece.
Front Med (Lausanne). 2022 Sep 26;9:992565. doi: 10.3389/fmed.2022.992565. eCollection 2022.
Contemporary asthma management requires a proactive and individualized approach, combining precision diagnosis and personalized treatment. The introduction of biologic therapies for severe asthma to everyday clinical practice, increases the need for specific patient selection, prediction of outcomes and monitoring of these costly and long-lasting therapies. Several biomarkers have been used in asthma in disease identification, prediction of asthma severity and prognosis, and response to treatment. Novel advances in the area of personalized medicine regarding disease phenotyping and endotyping, encompass the development and application of reliable biomarkers, accurately quantified using robust and reproducible methods. The availability of powerful omics technologies, together with integrated and network-based genome data analysis, and microbiota changes quantified in serum, body fluids and exhaled air, will lead to a better classification of distinct phenotypes or endotypes. Herein, in this review we discuss on currently used and novel biomarkers for the diagnosis and treatment of asthma.
当代哮喘管理需要一种积极主动且个性化的方法,将精准诊断与个性化治疗相结合。将重度哮喘的生物疗法引入日常临床实践,增加了对特定患者选择、预后预测以及对这些昂贵且长期疗法进行监测的需求。几种生物标志物已被用于哮喘的疾病识别、哮喘严重程度和预后预测以及治疗反应。在个性化医疗领域,关于疾病表型分型和内型分型的新进展包括开发和应用可靠的生物标志物,这些生物标志物可通过强大且可重复的方法进行准确量化。强大的组学技术的可用性,以及基于整合和网络的基因组数据分析,以及在血清、体液和呼出气体中量化的微生物群变化,将有助于更好地对不同的表型或内型进行分类。在此,在本综述中,我们讨论目前用于哮喘诊断和治疗的生物标志物以及新出现的生物标志物。