生物疗法的免疫原性。

Current problems in dermatology Pub Date : 2018-01-01 Epub Date: 2017-11-07 DOI:10.1159/000478077
Sandra Garcês, Jocelyne Demengeot
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引用次数: 47

摘要

几乎所有治疗性蛋白(生物制剂)都会引起免疫反应,从而产生抗药物抗体(ADA)。大多数ADA治疗性单克隆抗体(mAb)直接针对治疗性mAb的抗原结合位点,因此是中和性的。ADA反应的这种性质解释了为什么完全人抗体仍然具有高度的免疫原性。ADA的检测在技术上具有挑战性,所有的检测方法都有局限性,即由于免疫复合物(IC)的形成,在存在药物的情况下检测ADA的能力有限,这可能低估了ADA的发病率。精细化的分析,能够破坏药物ADA的ic,显示ADA的存在在较高比例的患者。ADA测定的巨大异质性阻碍了不同分子之间和跨研究之间免疫原性的直接比较。如果ADA滴度(即浓度)足够高且持续,药物-ADA ic的形成可显著改变药代动力学,直接降低药效。在ADA滴度低的患者中,游离药物浓度可能保持在足够高的水平而有效,而在ADA滴度高的患者中,很大一部分药物将被中和,可能出现临床无反应。ADA还会增加不良事件的风险,即超敏反应。几项研究表明,在临床明显不良反应之前存在ADA,突出了其预测价值。目前,在接受生物制剂的患者的临床评估中,整合治疗药物监测和免疫原性信息的算法可用于指导临床实践中的治疗决策,帮助我们设计更安全、更具成本效益的治疗策略。
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The Immunogenicity of Biologic Therapies.

Virtually all therapeutic proteins (biologics) elicit an immune response with the consequent production of anti-drug antibodies (ADA). The majority of ADA to therapeutic monoclonal antibodies (mAbs) are directed against the antigen-binding site of the therapeutic mAb, and hence are neutralizing. This nature of the ADA response explains why fully human antibodies can still be highly immunogenic. The detection of ADA is technically challenging and all assays have limitations, namely a limited capacity in detecting ADA in the presence of a drug due to immune complex (IC) formation, which may underestimate the ADA incidence. Refined assays, able to disrupt drug-ADA ICs, have revealed the presence of ADA in a higher proportion of patients. The great heterogeneity among ADA assays prevents a direct comparison of immunogenicity between different molecules and across studies. The formation of drug-ADA ICs can significantly alter pharmacokinetics and directly reduce drug efficacy if the ADA titer (i.e., concentration) is sufficiently high and persistent. In patients with low ADA titer, free drug concentrations may remain high enough to be effective, while in patients developing high ADA titer a substantial part of the drug will be neutralized and clinical non-response is likely to occur. ADA can also increase the risk of adverse events, namely hypersensitivity reactions. Several studies have revealed the presence of ADA before a clinically overt adverse reaction, highlighting their predictive value. Algorithms integrating therapeutic drug monitoring and immunogenicity information in the current clinical evaluation of patients receiving biologics are today available to guide therapeutic decisions in clinical practice, helping us to design safer and more cost-effective therapeutic strategies.

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