Department of Pharmacology and Clinical Pharmacology, Centre for Brain Research, School of Medical Science, FMHS, University of Auckland, Auckland, 1023, New Zealand.
Stem Cell Rev Rep. 2017 Apr;13(2):151-169. doi: 10.1007/s12015-017-9717-5.
Recent progress in the field of somatic cell reprogramming offers exciting new possibilities for the study and treatment of Parkinson's disease (PD). Reprogramming technology offers the ability to untangle the diverse contributing risk factors for PD, such as ageing, genetics and environmental toxins. In order to gain novel insights into such a complex disease, cell-based models of PD should represent, as closely as possible, aged human dopaminergic neurons of the substantia nigra. However, the generation of high yields of functionally mature, authentic ventral midbrain dopamine (vmDA) neurons has not been easy to achieve. Furthermore, ensuring cells represent aged rather than embryonic neurons has presented a significant challenge. To date, induced pluripotent stem (iPS) cells have received much attention for modelling PD. Nonetheless, direct reprogramming strategies (either to a neuronal or neural stem/progenitor fate) represent a valid alternative that are yet to be extensively explored. Direct reprogramming is faster and more efficient than iPS cell reprogramming, and appears to conserve age-related markers. At present, however, protocols aiming to derive authentic, mature vmDA neurons by direct reprogramming of adult human somatic cells are sorely lacking. This review will discuss the strategies that have been employed to generate vmDA neurons and their potential for the study and treatment of PD.
体细胞重编程领域的最新进展为帕金森病(PD)的研究和治疗提供了令人兴奋的新可能性。重编程技术使我们能够理清 PD 的多种致病风险因素,如衰老、遗传和环境毒素。为了深入了解这种复杂的疾病,PD 的基于细胞的模型应该尽可能地代表黑质中年龄较大的人类多巴胺能神经元。然而,产生高产量功能成熟、真正的腹侧中脑多巴胺(vmDA)神经元并不容易实现。此外,确保细胞代表年龄较大的神经元而不是胚胎神经元一直是一个重大挑战。迄今为止,诱导多能干细胞(iPS)细胞在 PD 建模方面受到了广泛关注。尽管如此,直接重编程策略(无论是向神经元还是神经干细胞/祖细胞命运)是一种有效的替代方法,但尚未得到广泛探索。直接重编程比 iPS 细胞重编程更快、更高效,并且似乎保留了与年龄相关的标志物。然而,目前缺乏通过直接重编程成人体细胞生成真正成熟的 vmDA 神经元的方案。本文将讨论生成 vmDA 神经元的策略及其在 PD 研究和治疗中的潜力。