Quantification of the effect of GLP-1R agonists on body weight using in vitro efficacy information: An extension of the Hall body composition model

IF 3.1 3区 医学 Q2 PHARMACOLOGY & PHARMACY
Rolien Bosch, Eric J. G. Sijbrands, Nelleke Snelder
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Abstract

Obesity has become a major public health concern worldwide. Pharmacological interventions with the glucagon-like peptide-1 receptor agonists (GLP-1RAs) have shown promising results in facilitating weight loss and improving metabolic outcomes in individuals with obesity. Quantifying drug effects of GLP-1RAs on energy intake (EI) and body weight (BW) using a QSP modeling approach can further increase the mechanistic understanding of these effects, and support obesity drug development. An extensive literature-based dataset was created, including data from several diet, liraglutide and semaglutide studies and their effects on BW and related parameters. The Hall body composition model was used to quantify and predict effects on EI. The model was extended with (1) a lifestyle change/placebo effect on EI, (2) a weight loss effect on activity for the studies that included weight management support, and (3) a GLP-1R agonistic effect using in vitro potency efficacy information. The estimated reduction in EI of clinically relevant dosages of semaglutide (2.4 mg) and liraglutide (3.0 mg) was 34.5% and 13.0%, respectively. The model adequately described the resulting change in BW over time. At 20 weeks the change in BW was estimated to be −17% for 2.4 mg semaglutide and −8% for 3 mg liraglutide, respectively. External validation showed the model was able to predict the effect of semaglutide on BW in the STEP 1 study. The GLP-1RA body composition model can be used to quantify and predict the effect of novel GLP-1R agonists on BW and changes in underlying processes using early in vitro efficacy information.

Abstract Image

利用体外疗效信息量化 GLP-1R 激动剂对体重的影响:霍尔身体成分模型的扩展。
肥胖症已成为全球关注的主要公共卫生问题。胰高血糖素样肽-1 受体激动剂(GLP-1RAs)的药物干预在促进肥胖症患者减轻体重和改善代谢结果方面显示出良好的效果。利用 QSP 建模方法量化 GLP-1RAs 对能量摄入(EI)和体重(BW)的药物作用,可以进一步加深对这些作用的机理的理解,并为肥胖症药物开发提供支持。我们创建了一个广泛的文献数据集,其中包括多项饮食、利拉鲁肽和塞马鲁肽研究的数据及其对体重和相关参数的影响。霍尔身体成分模型用于量化和预测对 EI 的影响。对模型进行了扩展:(1) 改变生活方式/安慰剂对 EI 的影响;(2) 包括体重管理支持的研究中体重减轻对活动的影响;(3) 使用体外药效信息的 GLP-1R 激动剂影响。据估计,临床相关剂量的塞马鲁肽(2.4 毫克)和利拉鲁肽(3.0 毫克)的 EI 降低率分别为 34.5% 和 13.0%。该模型充分描述了体重随时间的变化。据估计,20周时,2.4毫克塞马鲁肽的体重变化为-17%,3毫克利拉鲁肽的体重变化为-8%。外部验证表明,在 STEP 1 研究中,该模型能够预测塞马鲁肽对体重的影响。GLP-1RA身体成分模型可用于量化和预测新型GLP-1R激动剂对体重的影响,并利用早期体外疗效信息预测潜在过程的变化。
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来源期刊
CiteScore
5.00
自引率
11.40%
发文量
146
审稿时长
8 weeks
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