Department of Neurology with Friedrich Baur Institute, LMU University Hospital, Ludwig-Maximilians-University (LMU) Munich, Marchioninistr. 15, 81377, Munich, Germany.
German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.
J Neural Transm (Vienna). 2024 Oct;131(10):1149-1154. doi: 10.1007/s00702-024-02797-9. Epub 2024 Jun 25.
In pursuit of early therapeutic interventions for Parkinson's disease, the proposed SynNeurGe classification system integrates α-synuclein pathology (S), neurodegeneration evidence (N), and pathogenic gene variants (G). This approach aims to address the disease's complexity and biological diversity. It suggests categorizing patients based on the presence or absence of α-synuclein pathology in tissues or cerebrospinal fluid, neurodegeneration indicators from specific imaging techniques, and identification of pathogenic gene variants associated with Parkinson's disease. The proposed system emphasizes the future need for precision medicine and aims to facilitate both basic and clinical research toward disease-modifying therapies. However, the authors stress that initial implementation should be confined to research settings, considering ethical implications and current limitations. Prospective validation of these criteria is deemed necessary to ensure their efficacy and ethical application in clinical practice.
为了寻求帕金森病的早期治疗干预,所提出的 SynNeurGe 分类系统整合了 α-突触核蛋白病理学 (S)、神经退行性变证据 (N) 和致病性基因突变 (G)。这种方法旨在解决疾病的复杂性和生物多样性。它建议根据组织或脑脊液中 α-突触核蛋白病理学的存在与否、特定成像技术的神经退行性变指标以及与帕金森病相关的致病性基因突变来对患者进行分类。该系统强调未来需要精准医学,并旨在促进针对疾病修饰疗法的基础和临床研究。然而,作者强调,初始实施应限于研究环境,考虑到伦理影响和当前的局限性。这些标准的前瞻性验证被认为是必要的,以确保其在临床实践中的有效性和伦理应用。