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The Synergy of Aging and LPS Exposure in a Mouse Model of Parkinson’s Disease

Aging is an inevitable physiological challenge occurring in organisms over time, and is also the most important risk factor of neurodegenerative diseases. In this study, we observed cellular and molecular changes of different age mice and LPS-induced Parkinson disease (PD) model. The results showed...

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Detalles Bibliográficos
Autores principales: Zhao, Yong-Fei, Qiong-Zhang, Zhang, Jian-Feng, Lou, Zhi-Yin, Zu, Hen-Bing, Wang, Zi-Gao, Zeng, Wei-Cheng, Kai-Yao, Xiao, Bao-Guo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JKL International LLC 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6147589/
https://www.ncbi.nlm.nih.gov/pubmed/30271656
http://dx.doi.org/10.14336/AD.2017.1028
Descripción
Sumario:Aging is an inevitable physiological challenge occurring in organisms over time, and is also the most important risk factor of neurodegenerative diseases. In this study, we observed cellular and molecular changes of different age mice and LPS-induced Parkinson disease (PD) model. The results showed that behavioral performance and dopaminergic (DA) neurons were declined, accompanied by increased expression of pro-inflammatory factors (TLR2, p-NF-kB-p65, IL-1β and TNF-α), as well as pro-oxidative stress factor gp91phox in aged mice compared with young mice. Aging exaggerated inflammatory M1 microglia, and destroyed the balance between oxidation and anti-oxidation. The intranasal LPS instillation induced PD model in both young and aged mice. The poor behavioral performance and the loss of DA neurons as well as TLR2, p-NF-kB-p65, IL-1β, TNF-α, iNOS and gp91phox were further aggravated in LPS-aged mice. Interestingly, the expression of Nrf2 and HO-1 was up-regulated by LPS only in young LPS-PD mice, but not in aged mice. The results indicate that the synergy of aging process and LPS exposure may prominently aggravate the DA neurons loss caused by more serious neuroinflammation and oxidative stress in the brain.