Department of Biology, University of Rome "Tor Vergata", Via della Ricerca Scientifica 1, 00133 Rome, Italy.
Department of Life Sciences, University of Trieste, 34127 Trieste, Italy.
Cells. 2024 Aug 8;13(16):1326. doi: 10.3390/cells13161326.
Axons wrapped around the myelin sheath enable fast transmission of neuronal signals in the Central Nervous System (CNS). Unfortunately, myelin can be damaged by injury, viral infection, and inflammatory and neurodegenerative diseases. Remyelination is a spontaneous process that can restore nerve conductivity and thus movement and cognition after a demyelination event. Cumulative evidence indicates that remyelination can be pharmacologically stimulated, either by targeting natural inhibitors of Oligodendrocyte Precursor Cells (OPCs) differentiation or by reactivating quiescent Neural Stem Cells (qNSCs) proliferation and differentiation in myelinating Oligodendrocytes (OLs). Although promising results were obtained in animal models for demyelination diseases, none of the compounds identified have passed all the clinical stages. The significant number of patients who could benefit from remyelination therapies reinforces the urgent need to reassess drug selection approaches and develop strategies that effectively promote remyelination. Integrating Artificial Intelligence (AI)-driven technologies with patient-derived cell-based assays and organoid models is expected to lead to novel strategies and drug screening pipelines to achieve this goal. In this review, we explore the current literature on these technologies and their potential to enhance the identification of more effective drugs for clinical use in CNS remyelination therapies.
轴突被髓鞘包裹,使中枢神经系统 (CNS) 中的神经元信号能够快速传递。不幸的是,髓鞘可能因损伤、病毒感染以及炎症和神经退行性疾病而受损。髓鞘再生是一种自发的过程,它可以在脱髓鞘事件后恢复神经传导性,从而恢复运动和认知功能。越来越多的证据表明,髓鞘再生可以通过靶向少突胶质前体细胞 (OPC) 分化的天然抑制剂或通过激活静息神经干细胞 (qNSC) 在髓鞘形成少突胶质细胞 (OL) 中的增殖和分化来进行药理学刺激。尽管在脱髓鞘疾病的动物模型中取得了有希望的结果,但鉴定出的化合物都没有通过所有的临床阶段。大量可以从髓鞘再生疗法中获益的患者,这加剧了重新评估药物选择方法和制定有效促进髓鞘再生策略的迫切需要。将人工智能 (AI) 驱动的技术与基于患者的细胞检测和类器官模型相结合,有望为实现这一目标提供新的策略和药物筛选途径。在这篇综述中,我们探讨了这些技术的最新文献及其在增强鉴定更有效的 CNS 髓鞘再生治疗药物方面的潜力。