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首页> 外文期刊>The Journal of Allergy and Clinical Immunology >New approaches for predicting T cell-mediated drug reactions: A role for inducible and potentially preventable autoimmunity
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New approaches for predicting T cell-mediated drug reactions: A role for inducible and potentially preventable autoimmunity

机译:预测T细胞介导的药物反应的新方法:诱导和潜在预防自身免疫的作用

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摘要

Adverse drug reactions (ADRs) are commonplace and occur when a drug binds to its intended pharmacologic target (type A ADR) or an unintended target (type B ADR). Immunologically mediated type B ADRs, such as drug hypersensitivity syndrome, drug reaction with eosinophilia and systemic symptoms syndrome, and Stevens-Johnson syndrome/toxic epidermal necrolysis, can be severe and result in a diverse set of clinical manifestations that include fever and rash, as well as multiple organ failure (liver, kidney, lungs, and/or heart) in the case of drug hypersensitivity syndrome. There is increasing evidence that specific HLA alleles influence the risk of drug reactions. Several features of T cell-mediated ADRs are strikingly similar to those displayed by patients with autoimmune diseases like type I diabetes, such as strong HLA association, organ-specific adaptive immune responses, viral involvement, and activation of innate immunity. There is a need to better predict patient populations at risk for immunologically mediated type B ADRs. Because methods to predict type 1 diabetes by using genetic and immunologic biomarkers have been developed to a high level of accuracy (predicting 100% of subjects likely to progress), new research strategies based on these methods might also improve the ability to predict drug hypersensitivity.
机译:药物不良反应(ADR)很常见,当药物结合至其预期的药理学目标(A ADR类型)或意外目标(B ADR类型)时发生。免疫介导的B型ADR,例如药物超敏综合症,与嗜酸性粒细胞增多症和全身症状综合症的药物反应以及史蒂文斯-约翰逊综合症/中毒性表皮坏死症,可能很严重,并导致包括发热和皮疹在内的多种临床表现,例如以及药物超敏综合征的多器官功能衰竭(肝,肾,肺和/或心脏)。越来越多的证据表明特定的HLA等位基因会影响药物反应的风险。 T细胞介导的ADR的某些特征与自身免疫性疾病(例如I型糖尿病)的患者所表现出的特征极为相似,例如强烈的HLA关联,器官特异性适应性免疫反应,病毒参与以及先天免疫的激活。需要更好地预测处于免疫介导的B型ADR风险中的患者人群。由于使用遗传和免疫生物标记物预测1型糖尿病的方法已发展到很高的准确性(预测100%的受试者可能会进展),因此基于这些方法的新研究策略也可能会提高预测药物超敏反应的能力。

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