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您的检索式：作者名="Zuoquan LIN"
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| 1 | Sodium oligomannate therapeutically remodels gut microbiota and suppresses gut bacterial amino acids-shaped neuroinflammation to inhibit Alzheimer's disease progression显示文摘Recently,increasing evidence has suggested the association between gut dysbiosis and Alzheimer's disease(AD)progression,yet the role of gut microbiota in AD pathogenesis remains obscure.Herein,we provide a potential mechanistic link between gut microbiota dysbiosis and neuroinflammation in AD progression.Using AD mouse models,we discovered that,during AD progression,the alteration of gut microbiota composition leads to the peripheral accumulation of phenylalanine and isoleucine,which stimulates the differentiation and proliferation of pro-inflammatory T helper 1(Thl)cells.The brain-infiltrated peripheral Th1 immune cells are associated with the Ml microglia aaivation,contributing to AD-associated neuroinflammation.Importantly,the elevation of phenylalanine and isoleucine concentrations and the increase of Th1 cell frequency in the blood were also observed in two small independent cohorts of patients with mild cognitive impairment(MCI)due to AD.Furthermore,GV-971,a sodium oligomannate that has demonstrated solid and consistent cognition improvement in a phase 3 clinical trial in China,suppresses gut dysbiosis and the associated phenylalanine/isoleucine accumulation,harnesses neuroinflammation and reverses the cognition impairment.Together,our findings highlight the role of gut dysbiosis-promoted neuroinflammation in AD progression and suggest a novel strategy for AD therapy by remodelling the gut microbiota. | Xinyi Wang Guangqiang Sun Teng Feng Jing Zhang Xun Huang Tao Wang Zuoquan Xie Xingkun Chu Jun Yang Huan Wang Shuaishuai Chang Yanxue Gong Lingfei Ruan Guanqun Zhang Siyuan Yan Wen Lian Chen Du Dabing Yang Qingli Zhang Feifei Lin Jia Liu Haiyan Zhang Changrong Ge Shifu Xiao Jian Ding Meiyu Geng | 2019 | Cell Research2019，29，10： | 192 |
| 2 | Inconsistency-tolerant reasoning with OWL DL显示文摘 | Zhang Xiaowang Xiao Guohui Lin Zuoquan | 2014 | Int Journal of Approximate Reasoning2014，55，2： | 1 |
| 3 | Recommendation over time: a probabilistic model of time-aware recommender systems显示文摘In time-aware recommender systems, we have to consider the dynamic aspect of recommendation that is fond of new coming data. Usually, the recent data is more closely related to current recommendation tasks and the early data are useful to indicate overall measurements of the preferences. We propose a probabilistic model that uses the early data to generate the prior distribution and the recent data to capture the change of the states of both users and items in collaborative filtering systems. Our model is dynamic in the sense that it updates every time receiving new data. The time cost of every updating has a constant limit, which is suitable to deal with large scale data for online recommendation. Experiments on real datasets show the improvement performance of our model over the existing time-aware recommender systems. | Zuoquan LIN Hanxuan CHEN | 2019 | Science China(Information Sciences)2019，62，11： | 1 |
| 4 | BRIEF COMMUNICATION ARISING Geng et al.reply显示文摘The accompanying comment by Dr.Rao,suggests that there is an omission of citation of 12 previous publications in our Wang et al.paper.1 We disagree with the suggestion for the following reasons.We believe that the 12 publications cited by Dr.Rao do not have sufficient relevance to the Wang et al.paper.1 The past decades have witnessed an explosive growth in our understanding of the pathogenesis of Alzheimer's disease(AD),which is a very complicated process.The Wang et al. | Xinyi Wang Guangqiang Sun Teng Feng Jing Zhang Xun Huang Tao Wang Zuoquan Xie Xingkun Chu Jun Yang Huan Wang Shuaishuai Chang Yanxue Gong Lingfei Ruan Guanqun Zhang Siyuan Yan Wen Lian Chen Du Dabing Yang Qingli Zhang Feifei Lin Jia Liu Haiyan Zhang Changrong Ge Shifu Xiao Jian Ding Meiyu Geng | 2020 | Cell Research2020，30，9： | 0 |
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