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一种综合机理模型,介于系统性红斑狼的1型IFN介导炎症

Alina Volkova^1,2, Victor Sokolov^1,2, Florencia Tettamanti³

¹Modeling and Simulation Decisions FZ - LLC, Dubai, UAE.

CPT: pharmacometrics & systems pharmacology

|May 14, 2025

概括

一个新的模型比较了针对狼的I型干扰素 (IFN1) 疗法,发现阿尼弗罗卢马布在减少IFN1基因特征 (IFNGS) 中具有潜在优势. 高基线IFNGS或IFNα水平显著提高治疗效益.

科学领域:

药理学和免疫学药理学和免疫学
计算生物学和系统药理学计算生物学和系统药理学

背景情况:

一种类型的干扰素 (IFN1) 途径抑制剂对系统性红斑狼 (SLE) 是有前途的,但具有可变的临床疗效.
了解药理动力学反应的变化对于优化SLE治疗策略至关重要.

研究的目的:

开发一个定量系统药理学 (QSP) 模型来模拟SLE中IFN介导的I型炎症.
使用开发的QSP模型间接比较anifrolumab,sifalimumab,daxdilimab和litifilimab的药动力学反应.
根据基线生物标志物确定影响治疗效益和患者分层的关键因素.

主要方法:

开发一个20个普通微分方程 (ODE) QSP模型,68个参数,使用IIb期anifrolumab试验数据进行校准.
模型验证使用来自四种候选药物的多项临床试验的药理动力学,IFNα和IFN基因签名 (IFNGS) 数据.
全球敏感性分析以确定影响治疗结果的关键参数.

主要成果:

该QSP模型准确地捕捉了临床相关剂量的IFNGS趋势,以及低基线和高基线IFNGS患者之间的差异化反应.
与其他药物相比,阿尼弗罗卢马布在最大限度降低IFNGS (~25%) 的潜力更强,在基线IFNGS或IFNα高的患者中效果更强 (~50%-60%).
模型预测表明,低剂量的阿尼弗罗卢马布对益处的预测可能过度,而150毫克达克西利马布的预测不足.

结论:

开发的QSP模型为了解和比较SLE中的I型IFN通路抑制剂提供了有价值的工具.
基线IFNGS和IFNα水平是治疗反应的关键决定因素,表明患者分层的可能性.
阿尼弗罗卢马布在减少IFNGS方面表现出有希望的潜力,特别是在具有高生物标志物水平的患者子组中.

关键词:

自身免疫性疾病自身免疫性疾病这是一种狼,狼.数学建模的数学建模定量系统药理学药理学一种类型的干扰素-1型干扰素.

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