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迈向重症哮喘精准医学:基于可治疗特征的治疗算法。

Towards precision medicine in severe asthma: Treatment algorithms based on treatable traits.

机构信息

2nd Respiratory Medicine Department, National and Kapodistrian University of Athens Medical School, Attikon University Hospital, Athens, Greece.

Dept of Respiratory Medicine & Allergology, Institute for Clinical Science, Skane University Hospital, Lund, Sweden; Dept of Clinical Pharmacy & Pharmacology, UMCG, and QPS-NL, Groningen, the Netherlands.

出版信息

Respir Med. 2018 Sep;142:15-22. doi: 10.1016/j.rmed.2018.07.006. Epub 2018 Jul 17.

DOI:10.1016/j.rmed.2018.07.006
PMID:30170796
Abstract

Asthma is a common disease, and although its clinical manifestations may be similar among patients, recent research discoveries have shown that it consists of several distinct clinical clusters or phenotypes, each with different underlying molecular pathways yielding different treatment responses. Based on these observations, an alternative approach - known as 'precision medicine' - has been proposed for the management of patients with severe asthma. Precision medicine advocates identification of treatable traits, linking them to therapeutic approaches targeting genetic, immunological, environmental, and/or lifestyle factors in individual patients. The main "goal" of this personalised approach is to enable choosing a treatment which will be more likely to produce a beneficial response in the individual patient rather than a 'one size fits all' approach. The aim of the present review is to discuss different ways of phenotyping asthma and to provide a rationale for treatment algorithms based on principles of precision medicine.

摘要

哮喘是一种常见疾病,尽管患者的临床表现可能相似,但最近的研究发现,它由几个不同的临床聚类或表型组成,每个表型都有不同的潜在分子途径,产生不同的治疗反应。基于这些观察结果,提出了一种替代方法——精准医学——来管理重症哮喘患者。精准医学主张确定可治疗的特征,并将其与针对个体患者遗传、免疫、环境和/或生活方式因素的治疗方法联系起来。这种个性化方法的主要“目标”是选择一种更有可能在个体患者中产生有益反应的治疗方法,而不是采用“一刀切”的方法。本综述的目的是讨论不同的哮喘表型方法,并为基于精准医学原则的治疗算法提供依据。

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引用本文的文献

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Novel potential treatable traits in asthma: Where is the research taking us?哮喘中新型潜在可治疗特征:该研究将把我们带向何方?
J Allergy Clin Immunol Glob. 2022 Apr 9;1(2):27-36. doi: 10.1016/j.jacig.2022.04.001. eCollection 2022 May.
2
Baseline Characteristics of Patients Enrolled in Clinical Trials of Biologics for Severe Asthma as Potential Predictors of Outcomes.参与重度哮喘生物制剂临床试验患者的基线特征作为结局潜在预测指标
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Saudi Arabian real-life experience with biologic therapy in severe asthma.
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Treatable Traits in Chronic Respiratory Disease: A Comprehensive Review.慢性呼吸系统疾病的可治疗特征:全面综述。
Cells. 2021 Nov 22;10(11):3263. doi: 10.3390/cells10113263.
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Identification and treatment of T2-low asthma in the era of biologics.生物制剂时代T2低型哮喘的识别与治疗
ERJ Open Res. 2021 Jun 7;7(2). doi: 10.1183/23120541.00309-2020. eCollection 2021 Apr.
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Precision Medicine for Paediatric Severe Asthma: Current Status and Future Direction.儿童重症哮喘的精准医学:现状与未来方向
J Asthma Allergy. 2021 May 20;14:525-538. doi: 10.2147/JAA.S265657. eCollection 2021.
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Personalized Approach to Severe Asthma.重度哮喘的个性化治疗方法。
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