Suppr超能文献

成人治疗性肽和蛋白质的固定剂量与基于体表面积的剂量。

Fixed dosing versus body size-based dosing of therapeutic peptides and proteins in adults.

机构信息

Pfizer Oncology, San Diego, CA 92121, USA.

出版信息

J Clin Pharmacol. 2012 Jan;52(1):18-28. doi: 10.1177/0091270010388648. Epub 2011 Jan 13.

Abstract

Therapeutic biologics are often administered based on body size. A previous study has found that fixed dosing performs similarly to body size-based dosing in reducing intersubject variability in drug exposure across the mAbs studied. This study extended this evaluation to other therapeutic proteins and peptides. Eighteen therapeutic proteins and peptides with published population pharmacokinetic (PK) and/or pharmacodynamic (PD) models were selected for dosing approach evaluation. The relationships between body size and drug exposure (and PD end point when available) were evaluated, and simulation studies were conducted to compare the performance of the 2 dosing approaches. The results showed that fixed dosing performed better for 12 of 18 selected biologics in terms of reducing intersubject variability in exposure at both population and individual levels, whereas body size-based dosing performed better for the other 6 molecules. This result is consistent with the findings for mAbs. Therefore, fixed dosing is recommended for first-in-human studies of proteins and peptides along with mAbs. The final dosing approach for phase 3 studies should be determined based on a full assessment of body size effect on PK/PD when data are available and the therapeutic window of the drug.

摘要

治疗性生物制剂通常根据体重给药。先前的一项研究发现,在减少研究中单抗的药物暴露的个体间变异性方面,固定剂量与基于体重的剂量给药表现相当。本研究将这一评估扩展到其他治疗性蛋白和肽。选择了 18 种具有已发表的群体药代动力学(PK)和/或药效学(PD)模型的治疗性蛋白和肽进行给药方法评估。评估了体重与药物暴露(当有 PD 终点时)之间的关系,并进行了模拟研究以比较这两种给药方法的性能。结果表明,在个体和群体水平上,18 种选定生物制剂中有 12 种的固定剂量给药在降低暴露的个体间变异性方面表现更好,而基于体重的剂量给药在其他 6 种分子中表现更好。这一结果与单抗的研究结果一致。因此,建议在人体首次研究蛋白和肽时与单抗一起使用固定剂量给药。当数据可用且药物的 PK/PD 治疗窗存在时,应根据对体重对 PK/PD 的影响的全面评估来确定 3 期研究的最终给药方法。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验