Chocarro Julia, Lanciego José L
CNS Gene Therapy Department, Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain.
Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CiberNed-ISCIII), Madrid, Spain.
Neural Regen Res. 2025 Jan 29;21(1):224-32. doi: 10.4103/NRR.NRR-D-24-00896.
The development of clinical candidates that modify the natural progression of sporadic Parkinson's disease and related synucleinopathies is a praiseworthy endeavor, but extremely challenging. Therapeutic candidates that were successful in preclinical Parkinson's disease animal models have repeatedly failed when tested in clinical trials. While these failures have many possible explanations, it is perhaps time to recognize that the problem lies with the animal models rather than the putative candidate. In other words, the lack of adequate animal models of Parkinson's disease currently represents the main barrier to preclinical identification of potential disease-modifying therapies likely to succeed in clinical trials. However, this barrier may be overcome by the recent introduction of novel generations of viral vectors coding for different forms of alpha-synuclein species and related genes. Although still facing several limitations, these models have managed to mimic the known neuropathological hallmarks of Parkinson's disease with unprecedented accuracy, delineating a more optimistic scenario for the near future.
开发能够改变散发性帕金森病及相关突触核蛋白病自然病程的临床候选药物是一项值得称赞的努力,但极具挑战性。在临床前帕金森病动物模型中取得成功的治疗候选药物,在临床试验中反复失败。虽然这些失败有多种可能的解释,但或许是时候认识到问题在于动物模型而非假定的候选药物了。换句话说,目前缺乏足够的帕金森病动物模型是临床前识别可能在临床试验中成功的潜在疾病修饰疗法的主要障碍。然而,最近引入的编码不同形式α-突触核蛋白物种及相关基因的新一代病毒载体可能会克服这一障碍。尽管仍面临一些局限性,但这些模型已成功以前所未有的准确性模拟了帕金森病已知的神经病理学特征,描绘了一个更乐观的近期前景。