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细胞轨迹调控:CAR-T 细胞功能表型的快速微流控生物物理表征

英文原题:Cell trajectory modulation: rapid microfluidic biophysical profiling of CAR T cell functional phenotypes.

查看英文原题

Cell trajectory modulation: rapid microfluidic biophysical profiling of CAR T cell functional phenotypes.

PubMed 2025/05/22(内容时间) Nat Commun Q1 · IF 18.1(JCR 2025)

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中文摘要

嵌合抗原受体(CAR)T细胞疗法是治疗血液系统恶性肿瘤的关键方法。然而,由于供者间异质性以及生产前后流程差异,CAR-T 细胞产品在细胞数量、质量和体内效力方面存在批次间变异,因此产品必须在生产后及输注前接受仔细检测。本文介绍细胞轨迹调节(CTM)检测,这是一种微流控、无标记方法,可依据CAR-T 细胞的生物物理特征(如大小和变形能力)快速评估其功能属性。CTM检测结果与表型指标相关,包括CD4:CD8比值、记忆亚型和细胞毒活性。在多个供者和培养平台中得到验证后,该检测仅需少于10,000个细胞,并可在10分钟内提供结果。与需标记的流式细胞术流程相比,CTM检测可提供实时数据,以指导自适应生产流程。因此,CTM检测优于现有表型评估方法,是推进CAR-T 细胞疗法生产的一项进展。

展开英文摘要原文

Chimeric Antigen Receptor (CAR) T cell therapy is a pivotal treatment for hematological malignancies.

However, CAR T cell products exhibit batch-to-batch variability in cell number, quality, and in vivo efficacy due to donor-to-donor heterogeneity, and pre/post-manufacturing processes, and the manufacturing of such products necessitates careful testing, both post-manufacturing and pre-infusion.

Here, we introduce the Cell Trajectory Modulation (CTM) assay, a microfluidic, label-free approach for the rapid evaluation of the functional attributes of CAR T cells based on biophysical features (i. e. , size, deformability). CTM assay correlates with phenotypic metrics, including CD4:CD8 ratio, memory subtypes, and cytotoxic activity.

Validated across multiple donors and culture platforms, the CTM assay requires fewer than 10,000 cells and delivers results within 10 minutes. Compared to labeled flow cytometry processing, the CTM assay offers real-time data to guide adaptive manufacturing workflows.

Thus, the CTM assay offers an improvement over existing phenotypic assessments, marking a step forward in advancing CAR T cell therapy manufacturing.

论文信息

作者
Zeming KK、Quek KY、Sin WX、Teo DBL、Cheung KW、Goh CR、Kairi F、Lee E
第一作者单位
Critical Analytics for Manufacturing of Personalized Medicine, Singapore-MIT Alliance for Research and Technology (SMART), Singapore, Singapore. kerwin@smart.mit.edu.Italy
通讯作者单位
Critical Analytics for Manufacturing of Personalized Medicine, Singapore-MIT Alliance for Research and Technology (SMART), Singapore, Singapore. jyhan@mit.edu.Italy
期刊
Nature communications2025 May 22
原文标识
PubMed 40404664 · DOI 10.1038/s41467-025-59789-w