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首页> 外文期刊>Iranian Journal of Immunology >Airway Inflammatory Biomarker: Could It Tailor the Right Medications for the Right Asthmatic Patient?
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Airway Inflammatory Biomarker: Could It Tailor the Right Medications for the Right Asthmatic Patient?

机译:气道炎症生物标志物:能否为合适的哮喘患者量身定制合适的药物?

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Asthma is a heterogeneous disease, in which asthmatic patients present with different clinical phenotypes, variable endotypes, and different response to asthma medicines. Thus, we are faced with an asthma paradox; asthma is diagnosed subjectively by clinical history and treated with biologically active drugs. To solve this paradox, we need objective airway biomarkers to tailor the proper medications to the proper patient. Biomarkers should have one or more of the following characteristics: 1) could differentiate poor symptoms perceivers from over-perceivers, 2) could predict disease activity and hence disease outcome, 3) could clarify asthma phenotype responders from non-responders, and finally 4) could characterize different clinical asthma phenotypes. Therefore, we have conducted a review of literature trying to apply those four parameters to different airway inflammatory biomarkers. We found that FeNO fulfilled the four proposed clinical parameters of airway inflammatory biomarkers whereas; serum periostin was the single best systemic biomarker of airway luminal and tissue eosinophilia in severe uncontrolled TH2 asthma phenotype. Thus, this may be considered a trial towards tailoring the proper medication to the proper patient. However, application of biomarkers in clinical practice requires easier and cheaper techniques together with standardized methods for sample collection and analysis.
机译:哮喘是一种异质性疾病,其中哮喘患者表现出不同的临床表型,可变的内型和对哮喘药物的不同反应。因此,我们面临着哮喘悖论。根据临床病史主观诊断出哮喘,并用生物活性药物治疗。为了解决这一矛盾,我们需要客观的气道生物标记物,以针对合适的患者量身定制合适的药物。生物标志物应具有以下一项或多项特征:1)可以将症状较差的感知者与过度感知者区分开; 2)可以预测疾病的活动并因此预测疾病的结果; 3)可以从无反应者中明确哮喘的表型反应者,最后是4)可以表征不同的临床哮喘表型。因此,我们进行了文献综述,试图将这四个参数应用于不同的气道炎性生物标志物。我们发现FeNO符合气道炎性生物标志物的四个建议临床参数,而;在严重的不受控制的TH2哮喘表型中,血清骨膜素是气道腔和组织嗜酸性粒细胞增多的唯一最佳系统生物标志物。因此,这可以被认为是为合适的患者定制合适的药物的试验。然而,生物标志物在临床实践中的应用需要更容易,更便宜的技术以及用于样品收集和分析的标准化方法。

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