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

IF 26.8 1区 医学 Q1 ENGINEERING, BIOMEDICAL
Dan L. Pham, Dan Cappabianca, Matthew H. Forsberg, Cole Weaver, Katherine P. Mueller, Anna Tommasi, Jolanta Vidugiriene, Anthony Lauer, Kayla Sylvester, Jorgo Lika, Madison Bugel, Jing Fan, Christian M. Capitini, Krishanu Saha, Melissa C. Skala
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引用次数: 0

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.

Abstract Image

无标签代谢成像监测嵌合抗原受体T细胞的适应性
嵌合抗原受体(CAR) T细胞治疗实体肿瘤是具有挑战性的,因为免疫抑制肿瘤微环境和复杂的制造过程。细胞制造方案直接影响CAR - T细胞的产量、表型和代谢,这与体内效力和持久性相关。尽管代谢适应度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如何变化仍未被探索。在这里,我们使用光学代谢成像(OMI),一种无创,无标签的方法来评估单细胞代谢。使用OMI,我们确定了培养基组成对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参数可以指示病毒转导和基于电穿孔的CRISPR/Cas9的细胞周期阶段和最佳基因转移条件。在crispr编辑的抗gd2 CAR - T细胞模型中,OMI测量可以准确预测氧化代谢表型,从而产生更高的抗神经母细胞瘤的体内效力。我们的数据支持OMI作为一种稳健、灵敏的分析工具,用于优化制造条件和监测细胞代谢,以提高CAR - T细胞产量和代谢适应度。
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来源期刊
Nature Biomedical Engineering
Nature Biomedical Engineering Medicine-Medicine (miscellaneous)
CiteScore
45.30
自引率
1.10%
发文量
138
期刊介绍: Nature Biomedical Engineering is an online-only monthly journal that was launched in January 2017. It aims to publish original research, reviews, and commentary focusing on applied biomedicine and health technology. The journal targets a diverse audience, including life scientists who are involved in developing experimental or computational systems and methods to enhance our understanding of human physiology. It also covers biomedical researchers and engineers who are engaged in designing or optimizing therapies, assays, devices, or procedures for diagnosing or treating diseases. Additionally, clinicians, who make use of research outputs to evaluate patient health or administer therapy in various clinical settings and healthcare contexts, are also part of the target audience.
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