作为帕金森病转化生物标志物的宏观和微观睡眠功能障碍。

International review of neurobiology Pub Date : 2024-01-01 Epub Date: 2023-12-01 DOI:10.1016/bs.irn.2023.08.008
Marcelo M S Lima, Adriano D S Targa, Gustavo Z Dos Santos Lima, Clarissa F Cavarsan, Pablo Torterolo
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引用次数: 0

摘要

睡眠障碍在帕金森病(PD)患者中非常普遍,通常在疾病早期或前驱阶段就会出现。在本章中,我们将讨论目前有关帕金森病睡眠功能障碍之间联系的证据,重点关注来自动物和数学/计算模型的数据,以及基于人类的研究,这些研究探讨了帕金森病和睡眠之间相互交织的电生理和分子机制,无论是作为疾病的预测因素还是后果。可以明确指出的是,富亮氨酸重复激酶 2 基因(LRRK2)与睡眠结构的改变密切相关,尤其会影响快速眼动(REM)睡眠和非快速眼动睡眠,从而影响睡眠质量。此外,多巴胺能病变后观察到的伽玛功率下降与损伤程度呈负相关,这为了解疾病的影响提供了其他层面的信息。此外,考虑到运动和睡眠相关过程,基底神经节核团之间的异常同步振荡可能对信息处理不利。总之,尽管该领域取得了明显的进展,但要全面了解所有睡眠功能障碍与疾病本身之间的因果关系仍然十分困难。当然,寻找生物标志物有助于缩短这一过程,从而更好、更快地进行诊断,并寻找更有效的治疗方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Macro and micro-sleep dysfunctions as translational biomarkers for Parkinson's disease.

Sleep disturbances are highly prevalent among patients with Parkinson's disease (PD) and often appear from the early-phase disease or prodromal stages. In this chapter, we will discuss the current evidence addressing the links between sleep dysfunctions in PD, focusing most closely on those data from animal and mathematical/computational models, as well as in human-based studies that explore the electrophysiological and molecular mechanisms by which PD and sleep may be intertwined, whether as predictors or consequences of the disease. It is possible to clearly state that leucine-rich repeat kinase 2 gene (LRRK2) is significantly related to alterations in sleep architecture, particularly affecting rapid eye movement (REM) sleep and non-REM sleep, thus impacting sleep quality. Also, decreases in gamma power, observed after dopaminergic lesions, correlates negatively with the degree of injury, which brings other levels of understanding the impacts of the disease. Besides, abnormal synchronized oscillations among basal ganglia nuclei can be detrimental for information processing considering both motor and sleep-related processes. Altogether, despite clear advances in the field, it is still difficult to definitely establish a comprehensive understanding of causality among all the sleep dysfunctions with the disease itself. Although, certainly, the search for biomarkers is helping in shortening this road towards a better and faster diagnosis, as well as looking for more efficient treatments.

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