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了解宿主-移植物相互作用以预测干细胞移植的结果。

Understanding host-graft crosstalk for predicting the outcome of stem cell transplantation.

作者信息

Labusca Luminita, Zugun-Eloae Florin

机构信息

Magnetic Materials and Sensors, National Institute of Research and Development for Technical Physics, Iasi 700050, Romania.

Orthopedics and Trauma, Emergency County Hospital Saint Spiridon, Iasi 700000, Romania.

出版信息

World J Stem Cells. 2024 Mar 26;16(3):232-236. doi: 10.4252/wjsc.v16.i3.232.

DOI:10.4252/wjsc.v16.i3.232
PMID:38577233
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10989282/
Abstract

Mesenchymal stromal cells (MSCs) hold great promise for tissue regeneration in debilitating disorders. Despite reported improvements, the short-term outcomes of MSC transplantation, which is possibly linked to poor cell survival, demand extensive investigation. Disease-associated stress microenvironments further complicate outcomes. This debate underscores the need for a deeper understanding of the phenotypes of transplanted MSCs and their environment-induced fluctuations. Additionally, questions arise about how to predict, track, and comprehend cell fate post-transplantation. cellular imaging has emerged as a critical requirement for both short- and long-term safety and efficacy studies. However, translating preclinical imaging methods to clinical settings remains challenging. The fate and function of transplanted cells within the host environment present intricate challenges, including MSC engraftment, variability, and inconsistencies between preclinical and clinical data. The study explored the impact of high glucose concentrations on MSC survival in diabetic environments, emphasizing mitochondrial factors. Preserving these factors may enhance MSC survival, suggesting potential strategies involving genetic modification, biomaterials, and nanoparticles. Understanding stressors in diabetic patients is crucial for predicting the effects of MSC-based therapies. These multifaceted challenges call for a holistic approach involving the incorporation of large-scale data, computational disease modeling, and possibly artificial intelligence to enable deterministic insights.

摘要

间充质基质细胞(MSCs)在治疗衰弱性疾病的组织再生方面具有巨大潜力。尽管有报道称其有改善效果,但MSCs移植的短期结果可能与细胞存活率低有关,仍需要广泛研究。与疾病相关的应激微环境使结果更加复杂。这场争论凸显了深入了解移植的MSCs表型及其环境诱导波动的必要性。此外,关于如何预测、追踪和理解移植后细胞命运的问题也随之而来。细胞成像已成为短期和长期安全性及有效性研究的关键要求。然而,将临床前成像方法转化为临床应用仍然具有挑战性。宿主环境中移植细胞的命运和功能存在复杂的挑战,包括MSCs植入、变异性以及临床前和临床数据之间的不一致性。该研究探讨了高糖浓度对糖尿病环境中MSCs存活的影响,强调了线粒体因素。保留这些因素可能会提高MSCs的存活率,这表明了涉及基因改造、生物材料和纳米颗粒的潜在策略。了解糖尿病患者的应激源对于预测基于MSCs的治疗效果至关重要。这些多方面的挑战需要一种整体方法,包括纳入大规模数据、计算疾病建模以及可能的人工智能,以实现确定性的见解。