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体外扩增过程中增强间充质基质细胞免疫调节特性并减少其异质性的策略。

Strategies to enhance immunomodulatory properties and reduce heterogeneity in mesenchymal stromal cells during ex vivo expansion.

作者信息

Srinivasan Akshaya, Sathiyanathan Padmapriya, Yin Lu, Liu Tong Ming, Lam Alan, Ravikumar Maanasa, Smith Raymond Alexander Alfred, Loh Han Ping, Zhang Ying, Ling Ling, Ng Say Kong, Yang Yuan Sheng, Lezhava Alexander, Hui James, Oh Steve, Cool Simon M

机构信息

Department of Orthopaedic Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.

Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore.

出版信息

Cytotherapy. 2022 May;24(5):456-472. doi: 10.1016/j.jcyt.2021.11.009. Epub 2022 Feb 25.

Abstract

Therapies using mesenchymal stromal cells (MSCs) to treat immune and inflammatory conditions are now at an exciting stage of development, with many MSC-based products progressing to phase II and III clinical trials. However, a major bottleneck in the clinical translation of allogeneic MSC therapies is the variable immunomodulatory properties of MSC products due to differences in their tissue source, donor heterogeneity and processes involved in manufacturing and banking. This variable functionality of MSC products likely contributes to the substantial inconsistency observed in the clinical outcomes of phase III trials of MSC therapies; several trials have failed to reach the primary efficacy endpoint. In this review, we discuss various strategies to consistently maintain or enhance the immunomodulatory potency of MSCs during ex vivo expansion, which will enable the manufacture of allogeneic MSC banks that have high potency and low variability. Biophysical and biochemical priming strategies, the use of culture additives such as heparan sulfates, and genetic modification can substantially enhance the immunomodulatory properties of MSCs during in vitro expansion. Furthermore, robust donor screening, the use of biomarkers to select for potent MSC subpopulations, and rigorous quality testing to improve the release criteria for MSC banks have the potential to reduce batch-to-batch heterogeneity and enhance the clinical efficacy of the final MSC product. Machine learning approaches to develop predictive models of individual patient response can enable personalized therapies and potentially establish correlations between in vitro potency measurements and clinical outcomes in human trials.

摘要

使用间充质基质细胞(MSCs)治疗免疫和炎症性疾病的疗法目前正处于令人兴奋的发展阶段,许多基于MSCs的产品已进入II期和III期临床试验。然而,同种异体MSCs疗法临床转化的一个主要瓶颈是由于其组织来源、供体异质性以及制造和储存过程的差异,导致MSCs产品的免疫调节特性存在差异。MSCs产品的这种可变功能可能是导致MSCs疗法III期临床试验临床结果存在显著不一致性的原因;一些试验未能达到主要疗效终点。在本综述中,我们讨论了在体外扩增过程中持续维持或增强MSCs免疫调节效力的各种策略,这将有助于制造出高效能且低变异性的同种异体MSCs库。生物物理和生化预处理策略、使用硫酸乙酰肝素等培养添加剂以及基因改造可在体外扩增过程中显著增强MSCs的免疫调节特性。此外,严格的供体筛选、使用生物标志物来选择高效能的MSCs亚群以及进行严格的质量检测以改进MSCs库的放行标准,有可能减少批次间的异质性并提高最终MSCs产品的临床疗效。利用机器学习方法开发个体患者反应预测模型可实现个性化治疗,并有可能在体外效能测量与人体试验临床结果之间建立相关性。

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