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无标记代谢成像监测嵌合抗原受体T细胞的健康状况。

Label-free metabolic imaging monitors the fitness of chimeric antigen receptor T cells.

作者信息

Pham Dan L, Cappabianca Dan, Forsberg Matthew H, Weaver Cole, Mueller Katherine P, Tommasi Anna, Vidugiriene Jolanta, Lauer Anthony, Sylvester Kayla, Lika Jorgo, Bugel Madison, Fan Jing, Capitini Christian M, Saha Krishanu, Skala Melissa C

机构信息

Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA.

Morgridge Institute for Research, Madison, WI, USA.

出版信息

Nat Biomed Eng. 2025 Sep 16. doi: 10.1038/s41551-025-01504-7.

Abstract

Chimeric antigen receptor (CAR) T cell therapy for solid tumours is challenging because of the immunosuppressive tumour microenvironment and a complex manufacturing process. Cellular manufacturing protocols directly impact CAR T cell yield, phenotype and metabolism, which correlates with in vivo potency and persistence. Although metabolic fitness is a critical quality attribute, how T cell metabolic requirements vary throughout the manufacturing process remains unexplored. Here we use optical metabolic imaging (OMI), a non-invasive, label-free method to evaluate single-cell metabolism. Using OMI, we identified the impacts of media composition on CAR T cell metabolism, activation strength and kinetics, and phenotype. We demonstrate that OMI parameters can indicate cell cycle stage and optimal gene transfer conditions for both viral transduction and electroporation-based CRISPR/Cas9. In a CRISPR-edited anti-GD2 CAR T cell model, OMI measurements allow accurate prediction of an oxidative metabolic phenotype that yields higher in vivo potency against neuroblastoma. Our data support OMI as a robust, sensitive analytical tool to optimize manufacturing conditions and monitor cell metabolism for increased CAR T cell yield and metabolic fitness.

摘要

由于免疫抑制性肿瘤微环境和复杂的制造过程,嵌合抗原受体(CAR)T细胞疗法治疗实体瘤具有挑战性。细胞制造方案直接影响CAR T细胞的产量、表型和代谢,而这与体内效力和持久性相关。尽管代谢适应性是一个关键的质量属性,但T细胞代谢需求在整个制造过程中的变化情况仍未得到探索。在此,我们使用光学代谢成像(OMI),一种非侵入性、无标记的方法来评估单细胞代谢。通过OMI,我们确定了培养基成分对CAR T细胞代谢、激活强度和动力学以及表型的影响。我们证明,OMI参数可以指示细胞周期阶段以及病毒转导和基于电穿孔的CRISPR/Cas9的最佳基因转移条件。在一个经CRISPR编辑的抗GD2 CAR T细胞模型中,OMI测量能够准确预测一种氧化代谢表型,该表型对神经母细胞瘤具有更高的体内效力。我们的数据支持OMI作为一种强大、灵敏的分析工具,用于优化制造条件并监测细胞代谢,以提高CAR T细胞产量和代谢适应性。

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