ZOOLOGICAL RESEARCH
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2024
·
IF 4
Na Zhao,Xiu Chen,Qiu-Gu Chen,Xue-Ting Liu,Fan Geng,Meng-Meng Zhu,Fu-Ling Yan,Zhi-Jun Zhang,Qing-Guo Ren
Emerging evidence indicates that sleep deprivation (SD) can lead to Alzheimer’s disease (AD)-related pathological changes and cognitive decline. However, the underlying mechanisms remain obscure. In the present study, we identified the existence of a microbiota-gut-brain axis in cognitive deficits resulting from chronic SD and revealed a potential pathway by which gut microbiota affects cognitive functioning in chronic SD. Our findings demonstrated that chronic SD in mice not only led to cognitive decline but also induced gut microbiota dysbiosis, elevated NLRP3 inflammasome expression, GSK-3β activation, autophagy dysfunction, and tau hyperphosphorylation in the hippocampus. Colonization with the “SD microbiota” replicated the pathological and behavioral abnormalities observed in chronic sleep-deprived mice. Remarkably, both the deletion of NLRP3 in NLRP3 -/- mice and specific knockdown of NLRP3 in the hippocampus restored autophagic flux, suppressed tau hyperphosphorylation, and ameliorated cognitive deficits induced by chronic SD, while GSK-3β activity was not regulated by the NLRP3 inflammasome in chronic SD. Notably, deletion of NLRP3 reversed NLRP3 inflammasome activation, autophagy deficits, and tau hyperphosphorylation induced by GSK-3β activation in primary hippocampal neurons, suggesting that GSK-3β, as a regulator of NLRP3-mediated autophagy dysfunction, plays a significant role in promoting tau hyperphosphorylation. Thus, gut microbiota dysbiosis was identified as a contributor to chronic SD-induced tau pathology via NLRP3-mediated autophagy dysfunction, ultimately leading to cognitive deficits. Overall, these findings highlight GSK-3β as a regulator of NLRP3-mediated autophagy dysfunction, playing a critical role in promoting tau hyperphosphorylation.
研究领域:
神经科学
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微生物学
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病理学
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认知科学
✓ 已验证
DOI
PubMed
高影响因子
Nature Biomedical Engineering
·
2022
·Vol. 6
·期 1
·76-93
·
IF 29.234
Xie Chenglong,Zhuang Xu-Xu,Niu Zhangming,Ai Ruixue,Lautrup Sofie,Zheng Shuangjia,Jiang Yinghui,Han Ruiyu,Gupta Tanima Sen,Cao Shuqin,Lagartos-Donate Maria Jose,Cai Cui-Zan,Xie Li-Ming,Caponio Domenica,Wang Wen-Wen,Schmauck-Medina Tomas,Zhang Jianying,Wang He-ling,Lou Guofeng,Xiao Xianglu,Zheng Wenhua,Palikaras Konstantinos,Yang Guang,Caldwell Kim A.,Caldwell Guy A.,Shen Han-Ming,Nilsen Hilde,Lu Jia-Hong,Fang Evandro F.
A reduced removal of dysfunctional mitochondria is common to aging and age-related neurodegenerative pathologies such as Alzheimer’s disease (AD). Strategies for treating such impaired mitophagy would benefit from the identification of mitophagy modulators. Here we report the combined use of unsupervised machine learning (involving vector representations of molecular structures, pharmacophore fingerprinting and conformer fingerprinting) and a cross-species approach for the screening and experimental validation of new mitophagy-inducing compounds. From a library of naturally occurring compounds, the workflow allowed us to identify 18 small molecules, and among them two potent mitophagy inducers (Kaempferol and Rhapontigenin). In nematode and rodent models of AD, we show that both mitophagy inducers increased the survival and functionality of glutamatergic and cholinergic neurons, abrogated amyloid-β and tau pathologies, and improved the animals’ memory. Our findings suggest the existence of a conserved mechanism of memory loss across the AD models, this mechanism being mediated by defective mitophagy. The computational–experimental screening and validation workflow might help uncover potent mitophagy modulators that stimulate neuronal health and brain homeostasis.
研究领域:
神经科学
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药理学
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机器学习
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分子生物学
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神经退行性疾病
✓ 已验证
DOI
PubMed
高影响因子