Influence of Disease Type and Activity on Adalimumab Exposure in Children with Inflammatory Rheumatic Diseases.

IF 2.9 4区 医学
Klervi Golhen, Tatjana Welzel, Andrew Atkinson, Gilbert Koch, Dominic Braem, Johannes van den Anker, Andreas Woerner, Marc Pfister, Verena Gotta
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引用次数: 0

Abstract

Understanding adalimumab pharmacokinetics (PK) in pediatric inflammatory rheumatic diseases (PIRD) could facilitate individualized treatment strategies. This pharmacometric (PMX) analysis, utilizing prospectively collected data, aimed to develop a PMX model investigating associations between disease-specific factors and adalimumab exposure in PIRD. PK data originating from a prospective two-center study including 36 children with PIRD (weight IQR: 33-55 kg) receiving subcutaneous adalimumab (IQR: 30-40 mg biweekly; n = 28 at steady state, n = 8 after first dose, i.e., treatment naïve) were analyzed. A total of 72 adalimumab concentrations were available for PMX analysis, measured at 1-9 days and 10-14 days post-dose. In addition to disease type (juvenile idiopathic arthritis [JIA] vs idiopathic uveitis) and disease activity (inactive/mild/minimal/moderate/severe), associations between methotrexate (MTX) co-administration and duration of adalimumab treatment with apparent clearance (CL/F) were investigated. A one-compartment model with standard allometric scaling adequately described adalimumab concentration-time data, with higher inter-individual variability in apparent clearance (63%). CL/F showed trends of association with disease type (52% higher in JIA vs idiopathic uveitis, P <  .1), disease activity (12% higher in active vs inactive disease, P <  .1), and duration of adalimumab (higher with longer duration, P < 0.1) but not MTX co-administration (n.s.). However, none of these factors could be incorporated into the model with sufficient precision, except for bodyweight. While this PMX analysis suggests disease-specific factors may influence adalimumab exposure in children with PIRD, additional prospective studies are warranted to further characterize influence of disease-specific factors on drug exposure and their effects on drug response with goal to facilitate implementation of personalized dosing strategies in pediatric rheumatology. What is already known on this topic Adalimumab is a monoclonal antibody directed against tumor necrosis factor alpha (TNFα), used for treatment of various inflammatory diseases, including pediatric inflammatory rheumatic diseases (PIRD). Data on adalimumab PK in children with PIRD is limited, indicating the need for further clinical research to support development and implementation of personalized treatment in pediatric clinical practice. What this study adds Applying standard weight-based allometric scaling, a one-compartment model with first-order absorption and elimination adequately described available prospectively collected adalimumab concentration-time data in patients with PIRD. Higher CL/F was seen (i) in children with JIA versus those with idiopathic uveitis, (ii) in children with active disease, and (iii) with prolonged duration of adalimumab treatment. How this study might affect research, practice, or policy Disease-specific factors can influence adalimumab exposure in children with PIRD, but (a priori) dose individualization based on these factors is not directly supported by our investigation (high remaining inter-individual variability). A posteriori dose individualization based on adalimumab exposure (e.g., by PMX-based therapeutic drug monitoring) may be promising to avoid adalimumab over- and underexposure, particularly after achievement of remission/inactive disease in children with PIRD. Together with increasing knowledge on exposure-response relationships in PIRD, the developed PMX model may be applied to optimize and personalize tapering or dose escalation in PIRD patients. This research identified disease-specific factors that can influence adalimumab exposure, which in turn can inform design and set-up of larger prospective clinical studies.

炎症性风湿病患儿疾病类型和活动对阿达木单抗暴露的影响
了解阿达木单抗在儿童炎症性风湿病(PIRD)中的药代动力学(PK)可以促进个体化治疗策略。这项药物计量学(PMX)分析,利用前瞻性收集的数据,旨在建立一个PMX模型,调查PIRD中疾病特异性因素与阿达木单抗暴露之间的关系。PK数据来自一项前瞻性双中心研究,包括36名患有PIRD的儿童(体重IQR: 33-55 kg)接受皮下阿达木单抗(IQR: 30-40 mg,每两周;稳态N = 28,首次给药后N = 8,即治疗naïve)进行分析。共有72种阿达木单抗浓度可用于PMX分析,分别在给药后1-9天和10-14天测量。除了疾病类型(幼年特发性关节炎[JIA] vs特发性葡萄膜炎)和疾病活动性(非活动性/轻度/轻度/中度/重度)外,还研究了甲氨蝶呤(MTX)联合给药和阿达木单抗治疗时间与表观清除率(CL/F)之间的关系。具有标准异速缩放的单室模型充分描述了阿达木单抗浓度-时间数据,在表观清除率(63%)方面具有较高的个体间变异性。CL/F与疾病类型(JIA比特发性葡萄膜炎高52%,P < 0.1)、疾病活动性(活动性比非活动性高12%,P < 0.1)和阿达木单抗持续时间(持续时间越长越高,P < 0.1)相关,但与MTX联合给药无关(n.s)。然而,除了体重外,这些因素都不能以足够的精度纳入模型。虽然PMX分析表明疾病特异性因素可能影响PIRD儿童的阿达木单抗暴露,但需要进一步的前瞻性研究来进一步表征疾病特异性因素对药物暴露的影响及其对药物反应的影响,以促进在儿童风湿病中实施个性化给药策略。阿达木单抗是一种针对肿瘤坏死因子α (TNFα)的单克隆抗体,用于治疗各种炎症性疾病,包括儿童炎症性风湿病(PIRD)。阿达木单抗在PIRD儿童中的PK数据有限,这表明需要进一步的临床研究来支持儿科临床实践中个性化治疗的开发和实施。应用标准的基于体重的异速测量量表,一阶吸收和消除的单室模型充分描述了可获得的前瞻性收集的PIRD患者阿达木单抗浓度-时间数据。与特发性葡萄膜炎患者相比,JIA儿童的CL/F更高,疾病活动性儿童的CL/F更高,阿达木单抗治疗时间延长的儿童的CL/F更高。疾病特异性因素可能影响PIRD儿童的阿达木单抗暴露,但(先验)基于这些因素的剂量个体化并没有得到我们的调查的直接支持(剩余的高个体间变动性)。基于阿达木单抗暴露的事后剂量个体化(例如,通过基于pmx的治疗性药物监测)可能有望避免阿达木单抗过度和不足暴露,特别是在pid患儿达到缓解/非活动性疾病后。随着对PIRD暴露-反应关系的认识不断增加,所开发的PMX模型可用于优化和个性化PIRD患者的减量或剂量递增。本研究确定了可能影响阿达木单抗暴露的疾病特异性因素,这反过来可以为更大的前瞻性临床研究的设计和设置提供信息。
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来源期刊
Journal of Clinical Pharmacology
Journal of Clinical Pharmacology PHARMACOLOGY & PHARMACY-
自引率
3.40%
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期刊介绍: The Journal of Clinical Pharmacology (JCP) is a Human Pharmacology journal designed to provide physicians, pharmacists, research scientists, regulatory scientists, drug developers and academic colleagues a forum to present research in all aspects of Clinical Pharmacology. This includes original research in pharmacokinetics, pharmacogenetics/pharmacogenomics, pharmacometrics, physiologic based pharmacokinetic modeling, drug interactions, therapeutic drug monitoring, regulatory sciences (including unique methods of data analysis), special population studies, drug development, pharmacovigilance, womens’ health, pediatric pharmacology, and pharmacodynamics. Additionally, JCP publishes review articles, commentaries and educational manuscripts. The Journal also serves as an instrument to disseminate Public Policy statements from the American College of Clinical Pharmacology.
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