Department of Neuroscience, Center for Translational Research in Neurodegenerative Disease, University of Florida College of Medicine, Gainesville, FL, USA.
Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA.
Nat Rev Immunol. 2022 Nov;22(11):657-673. doi: 10.1038/s41577-022-00684-6. Epub 2022 Mar 4.
Parkinson disease (PD) is a progressive neurodegenerative disease that affects peripheral organs as well as the central nervous system and involves a fundamental role of neuroinflammation in its pathophysiology. Neurohistological and neuroimaging studies support the presence of ongoing and end-stage neuroinflammatory processes in PD. Moreover, numerous studies of peripheral blood and cerebrospinal fluid from patients with PD suggest alterations in markers of inflammation and immune cell populations that could initiate or exacerbate neuroinflammation and perpetuate the neurodegenerative process. A number of disease genes and risk factors have been identified as modulators of immune function in PD and evidence is mounting for a role of viral or bacterial exposure, pesticides and alterations in gut microbiota in disease pathogenesis. This has led to the hypothesis that complex gene-by-environment interactions combine with an ageing immune system to create the 'perfect storm' that enables the development and progression of PD. We discuss the evidence for this hypothesis and opportunities to harness the emerging immunological knowledge from patients with PD to create better preclinical models with the long-term goal of enabling earlier identification of at-risk individuals to prevent, delay and more effectively treat the disease.
帕金森病(PD)是一种进行性神经退行性疾病,不仅影响中枢神经系统,还会累及外周器官,其病理生理学涉及到神经炎症的根本作用。神经组织学和神经影像学研究支持 PD 存在持续的和终末期的神经炎症过程。此外,对 PD 患者的外周血和脑脊液的大量研究表明,炎症标志物和免疫细胞群发生改变,这些改变可能引发或加剧神经炎症,并使神经退行性过程持续存在。许多疾病基因和风险因素已被确定为 PD 中免疫功能的调节剂,越来越多的证据表明病毒或细菌暴露、杀虫剂和肠道微生物群的改变与疾病发病机制有关。这导致了这样一种假设,即复杂的基因-环境相互作用与衰老的免疫系统相结合,形成了“完美风暴”,从而使 PD 的发生和发展成为可能。我们讨论了这一假设的证据,并探讨了利用 PD 患者不断涌现的免疫学知识来创建更好的临床前模型的机会,其长期目标是使处于危险中的个体能够更早地被识别出来,从而预防、延迟和更有效地治疗这种疾病。
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