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用于预测骨关节炎细胞治疗候选药物临床结果的芯片上3D效力测定。

On-chip 3D potency assay for prediction of clinical outcomes for cell therapy candidates for osteoarthritis.

作者信息

Schneider Rebecca S, Nieves Elisa B, Aggarwal Bhavay, Bowles-Welch Annie C, Stevens Hazel Y, Kippner Linda E, Boden Scott D, Mautner Kenneth, Drissi Hicham, Roy Krishnendu, Lam Wilbur A, Sinha Saurabh, García Andrés J

机构信息

School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA.

Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA, USA.

出版信息

Nat Commun. 2025 May 27;16(1):4915. doi: 10.1038/s41467-025-60158-w.

Abstract

The lack of clinically predictive potency assays for cell products significantly impedes translation of these therapies. Here, we describe a microfluidic on-chip 3D system for rapid evaluation of a subset of patient-derived bone marrow aspirate concentrate (BMAC) samples used in a phase 3 multicenter trial (NCT03818737) evaluating autologous cells for relieving knee osteoarthritis pain. BMAC clinical samples cultured in the on-chip 3D system exhibit elevated levels of immunomodulatory and trophic proteins compared to 2D culture. Using analyte information from in vitro assays and patient-matched clinical data, we build linear regression prediction models for clinical outcomes. We demonstrate improved clinical prediction by cross-validation accuracy for the on-chip 3D platform compared to 2D culture. Additionally, on-chip 3D assay metrics display higher correlative power with patient pain scores compared to the 2D assay. This study establishes a potency assay with improved prediction power to accelerate translation of cell therapies.

摘要

缺乏针对细胞产品的具有临床预测性的效力检测方法,这严重阻碍了这些疗法的转化应用。在此,我们描述了一种微流控芯片上的三维系统,用于快速评估在一项评估自体细胞缓解膝关节骨关节炎疼痛的3期多中心试验(NCT03818737)中使用的一部分患者来源的骨髓抽吸浓缩物(BMAC)样本。与二维培养相比,在芯片上三维系统中培养的BMAC临床样本显示出免疫调节蛋白和营养蛋白水平升高。利用体外检测的分析物信息和患者匹配的临床数据,我们建立了临床结果的线性回归预测模型。与二维培养相比,我们通过芯片上三维平台的交叉验证准确性证明了临床预测得到了改善。此外,与二维检测相比,芯片上三维检测指标与患者疼痛评分显示出更高的相关性。本研究建立了一种具有更高预测能力的效力检测方法,以加速细胞疗法的转化应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68a4/12116846/d3034599f664/41467_2025_60158_Fig1_HTML.jpg

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