Parkinson's Centre [Research Centre of Social Diseases (CIMS)], "Sapienza" University of Rome, Italy; Cognitive Impairment Center, Local Health Authority 2 of Treviso, Treviso, Italy.
Neurology Unit, L. Sacco University Hospital, Milan, Italy.
J Neurol Sci. 2018 May 15;388:186-191. doi: 10.1016/j.jns.2018.03.024. Epub 2018 Mar 17.
The construct of non-motor symptoms (NMS) subtyping in Parkinson Disease (PD) is emerging as a line of research in the light of its potential role in etiopathological interpretation of PD heterogeneity. Different approaches of NMS subtyping have been proposed: an anatomical model suggests that NMS aggregate according to the underpinning pathology; other researchers find aggregation of NMS according to the motor phenotype; the contribution of genetic background to NMS has also been assessed, primarily focusing on cognitive impairment. We have analyzed NMS burden assessed through an extensive clinical and neuropsychological battery in 137 consecutive non-demented PD patients genotyped for MAPT haplotypes (H1/H1 vs H2 carriers) in order to explore the applicability of the "anatomo-clinical", "motor" or "genetic" models for subtyping PD in a clinical setting; a subsequent independent analysis was conducted to verify a possible cluster distribution of NMS. No clear-cut NMS profiles according to the previously described models emerged: in our population, the autonomic dysfunctions and depressive symptoms represent the leading determinant of NMS clusters, which seems to better fit with the hypothesis of a "neurotransmitter-based" model. Selective preferential neurotransmitter network dysfunctions may account for heterogeneity of PD and could address translational research.
非运动症状(NMS)亚型在帕金森病(PD)中的构建正在成为研究的一个方向,因为它可能在 PD 异质性的病因病理解释中发挥作用。已经提出了不同的 NMS 亚型分类方法:一种解剖模型表明,NMS 根据潜在的病理学聚集;其他研究人员根据运动表型发现 NMS 的聚集;遗传背景对 NMS 的贡献也已经被评估,主要集中在认知障碍上。我们分析了 137 例连续的非痴呆 PD 患者的 NMS 负担,这些患者通过广泛的临床和神经心理学测试进行了 MAPT 单倍型(H1/H1 与 H2 携带者)的基因分型,以探索“解剖-临床”、“运动”或“遗传”模型在临床环境中对 PD 进行亚型分类的适用性;随后进行了一项独立分析,以验证 NMS 是否存在可能的聚类分布。根据之前描述的模型,没有明确的 NMS 特征出现:在我们的人群中,自主神经功能障碍和抑郁症状是 NMS 聚类的主要决定因素,这似乎更符合“基于神经递质”模型的假设。选择性优先的神经递质网络功能障碍可能解释了 PD 的异质性,并可能为转化研究提供依据。