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一种基于机制性标志物的筛选工具,用于预测生物制品的临床免疫原性。

A mechanistic marker-based screening tool to predict clinical immunogenicity of biologics.

作者信息

Jarvi Nicole L, Balu-Iyer Sathy V

机构信息

Department of Pharmaceutical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, 14214, USA.

出版信息

Commun Med (Lond). 2023 Dec 8;3(1):174. doi: 10.1038/s43856-023-00413-7.

Abstract

BACKGROUND

The efficacy and safety of therapeutic proteins are undermined by immunogenicity driven by anti-drug antibodies. Immunogenicity risk assessment is critically necessary during drug development, but current methods lack predictive power and mechanistic insight into antigen uptake and processing leading to immune response. A key mechanistic step in T-cell-dependent immune responses is the migration of mature dendritic cells to T-cell areas of lymphoid compartments, and this phenomenon is most pronounced in the immune response toward subcutaneously delivered proteins.

METHODS

The migratory potential of monocyte-derived dendritic cells is proposed to be a mechanistic marker for immunogenicity screening. Following exposure to therapeutic protein in vitro, dendritic cells are analyzed for changes in activation markers (CD40 and IL-12) in combination with levels of the chemokine receptor CXCR4 to represent migratory potential. Then a transwell assay captures the intensity of dendritic cell migration in the presence of a gradient of therapeutic protein and chemokine ligands.

RESULTS

Here, we show that an increased ability of the therapeutic protein to induce dendritic cell migration along a gradient of chemokine CCL21 and CXCL12 predicts higher immunogenic potential. Expression of the chemokine receptor CXCR4 on human monocyte-derived dendritic cells, in combination with activation markers CD40 and IL-12, strongly correlates with clinical anti-drug antibody incidence.

CONCLUSIONS

Mechanistic understanding of processes driving immunogenicity led to the development of a predictive tool for immunogenicity risk assessment of therapeutic proteins. These predictive markers could be adapted for immunogenicity screening of other biological modalities.

摘要

背景

治疗性蛋白质的疗效和安全性会受到抗药物抗体引发的免疫原性的影响。在药物研发过程中,免疫原性风险评估至关重要,但目前的方法缺乏预测能力,且对导致免疫反应的抗原摄取和处理缺乏机制性认识。在T细胞依赖性免疫反应中,一个关键的机制步骤是成熟树突状细胞迁移至淋巴区室的T细胞区域,这种现象在对皮下注射蛋白质的免疫反应中最为明显。

方法

单核细胞衍生的树突状细胞的迁移潜能被认为是免疫原性筛选的一个机制性标志物。在体外将树突状细胞暴露于治疗性蛋白质后,分析树突状细胞中激活标志物(CD40和IL-12)的变化,并结合趋化因子受体CXCR4的水平来代表迁移潜能。然后通过Transwell试验测定在存在治疗性蛋白质和趋化因子配体梯度的情况下树突状细胞迁移的强度。

结果

在此,我们表明治疗性蛋白质诱导树突状细胞沿趋化因子CCL21和CXCL12梯度迁移的能力增强预示着更高的免疫原性潜能。人单核细胞衍生的树突状细胞上趋化因子受体CXCR4的表达,与激活标志物CD40和IL-12相结合,与临床抗药物抗体发生率密切相关。

结论

对驱动免疫原性过程的机制性理解促成了一种治疗性蛋白质免疫原性风险评估预测工具的开发。这些预测标志物可用于其他生物制剂的免疫原性筛选。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a0f/10709359/d2d64a9ff0bf/43856_2023_413_Fig1_HTML.jpg

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