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使用定量系统药理学模型对系统性红斑狼疮中重新利用的抗CD19 CAR-T细胞疗法进行机制评估。

Mechanistic Evaluation of Anti-CD19 CAR-T Cell Therapy Repurposed in Systemic Lupus Erythematosus Using a Quantitative Systems Pharmacology Model.

作者信息

Park Hyunseo, Mugundu Ganesh M, Singh Aman P

机构信息

Cell Therapy Clinical Pharmacology and Modeling, Precision and Translational Medicine Takeda Pharmaceuticals, Cambridge, Massachusetts, USA.

Department of Pharmaceutical Sciences, College of Pharmacy, University of Tennessee Health Sciences Center, Memphis, Tennessee, USA.

出版信息

Clin Transl Sci. 2025 Feb;18(2):e70146. doi: 10.1111/cts.70146.

Abstract

CAR-T cell therapy, renowned for its success in oncology, is now venturing into the realm of B cell-mediated autoimmune diseases. Recent observations have revealed significant pharmacological effects of CD19 CAR-T cells in patients with systemic lupus erythematosus (SLE), suggesting promising applications in other autoimmune conditions. Consequently, as of December 2024, there are 116 different clinical trials evaluating CAR-T cells against autoimmune conditions. While the field is starting to understand the overall pharmacological actions of CAR-T cells in autoimmune diseases, the dose-exposure-response relationship remains inadequately characterized due to limited clinical data. To address these uncertainties, we have developed a Quantitative Systems Pharmacology (QSP) model using short-term limited clinical data of anti-CD19 CAR-Ts in autoimmune disease patients (n = 5), followed by a model qualification step utilizing an external dataset (n = 13). The developed QSP model integrated and effectively characterized the (1) cellular kinetics of different immunophenotypic population of CAR-T cells, (2) impact of lymphodepletion chemotherapy on host immune cells, (3) CAR-mediated elimination of CD19+ B-cells and (4) dynamic changes in disease surrogate biomarkers and its relationship with clinical score. The key pharmacological biomarkers which were incorporated within the QSP model included anti double stranded DNA (anti-dsDNA) antibodies, proteinuria, C3 protein and IFN-alpha. Later, a linear regression analysis-based relationship was developed between continuous disease biomarkers and the categorical SLE disease activity index (SLE-DAI) determined by the investigators offering a predictive framework for disease progression in SLE patients. This proposed QSP model holds potential to elucidate quantitative pharmacology and expedite clinical advancement of autologous and allogeneic cell therapies in autoimmune diseases.

摘要

嵌合抗原受体T细胞(CAR-T)疗法在肿瘤学领域取得了巨大成功,如今正涉足B细胞介导的自身免疫性疾病领域。最近的观察结果显示,CD19 CAR-T细胞对系统性红斑狼疮(SLE)患者具有显著的药理作用,这表明其在其他自身免疫性疾病中也有应用前景。因此,截至2024年12月,有116项不同的临床试验正在评估CAR-T细胞治疗自身免疫性疾病的效果。虽然该领域已开始了解CAR-T细胞在自身免疫性疾病中的整体药理作用,但由于临床数据有限,剂量-暴露-反应关系仍未得到充分表征。为了解决这些不确定性,我们利用自身免疫性疾病患者(n = 5)抗CD19 CAR-T的短期有限临床数据,开发了一个定量系统药理学(QSP)模型,随后利用外部数据集(n = 13)进行模型验证。所开发的QSP模型整合并有效表征了:(1)CAR-T细胞不同免疫表型群体的细胞动力学;(2)淋巴细胞清除化疗对宿主免疫细胞的影响;(3)CAR介导的CD19+B细胞清除;(4)疾病替代生物标志物的动态变化及其与临床评分的关系。纳入QSP模型的关键药理学生物标志物包括抗双链DNA(抗dsDNA)抗体、蛋白尿、C3蛋白和IFN-α。随后,基于线性回归分析建立了连续疾病生物标志物与研究者确定的分类SLE疾病活动指数(SLE-DAI)之间的关系,为SLE患者的疾病进展提供了预测框架。所提出的QSP模型有可能阐明自身免疫性疾病中自体和异体细胞疗法的定量药理学,并加速其临床进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3892/11815715/f1816c8884a4/CTS-18-e70146-g006.jpg

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