Department of Translational Medicine and Clinical Pharmacology, Boehringer Ingelheim Pharma Inc, 900 Ridgebury Road, Ridgefield, CT, 06877, USA.
Department of Biotherapeutics Discovery, Boehringer Ingelheim Pharma Inc, Connecticut, USA.
Adv Ther. 2024 Jan;41(1):364-378. doi: 10.1007/s12325-023-02710-y. Epub 2023 Nov 16.
Accurate predictions of pharmacokinetics and efficacious doses for biologics in humans are critical for selecting appropriate first-in-human starting doses and dose ranges and for estimating clinical material needs and cost of goods. This also impacts clinical feasibility, particularly for subcutaneously administered biologics.
We performed a comprehensive comparison between predicted and observed clearances and doses in humans for a set of 22 biologic drugs developed at Boehringer Ingelheim (BI) over the last 2 decades. The analysis included biologics across three therapeutic areas comprising a wide variety of modalities: mono- and bispecific monoclonal antibodies (mAbs) and nanobodies and a Fab fragment.
Our analysis showed that observed clearances in humans were within twofold of predicted clearances for 17 out of 20 biologics (85%). Six biologics had uncharacteristically high observed human clearances (range 32-280 mL/h) for their respective molecular classes, impacting their clinical developability. For three molecules, molecular characteristics contributed to the high clearance. Clinically selected doses were within twofold of predicted for 58% of projects. With 42% and 25% of projects selecting clinical doses higher than two- or threefold the predicted value, respectively, the importance of better understanding not only the pharmacokinetic (PK) but also the predictivity of pharmacodynamic models is highlighted.
We provide a clinical pharmacology perspective on the commonly accepted twofold range of human clearance predictions as well as the implications of higher than predicted targeted efficacious plasma concentration on clinical development. Finally, an analysis of key success factors for biologics at BI was conducted, which may be relevant for the entire pharmaceutical industry. This is one of the largest retrospective analyses for biologics and provides further evidence that successful predictions of human PK and efficacious dose will be further facilitated by gathering key translational data early in research.
准确预测生物制剂在人体内的药代动力学和有效剂量对于选择合适的首次人体起始剂量和剂量范围、估算临床所需物料和产品成本至关重要。这也会影响临床可行性,尤其是对于皮下给药的生物制剂。
我们对过去 20 年勃林格殷格翰(BI)开发的 22 种生物制剂的一组数据进行了全面比较,包括了三个治疗领域的生物制剂,涵盖了多种模式:单克隆和双特异性单克隆抗体(mAb)和纳米抗体以及 Fab 片段。
我们的分析表明,在 20 种生物制剂中有 17 种(85%)的实际人体清除率在预测清除率的两倍以内。有 6 种生物制剂的人体清除率异常高(其各自的分子类别范围为 32-280ml/h),这影响了它们的临床开发。对于 3 种分子,分子特征导致了高清除率。临床上选择的剂量与预测值的两倍以内的占 58%。有 42%和 25%的项目分别选择了比预测值高两倍或三倍以上的临床剂量,这凸显了更好地理解药代动力学(PK)和药效动力学模型预测性的重要性。
我们从临床药理学的角度出发,对普遍接受的人体清除率预测两倍范围内以及高于预测的靶向有效血浆浓度对临床开发的影响进行了探讨。最后,对 BI 生物制剂的关键成功因素进行了分析,这可能对整个制药行业都具有相关性。这是对生物制剂进行的最大规模的回顾性分析之一,进一步证明了在研究早期收集关键转化数据将有助于更准确地预测人体 PK 和有效剂量。