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| 1 | ASAF: altered spontaneous activity fingerprinting in Alzheimer’s disease based on multisite fMRI显示文摘Several monocentric studies have noted alterations in spontaneous brain activity in Alzheimer's disease (AD), although there is no consensus on the altered amplitude of low-frequency fluctuations in AD patients. The main aim of the present study was to identify a reliable and reproducible abnormal brain activity pattern in AD. The amplitude of local brain activity (AM), which can provide fast mapping of spontaneous brain activity across the whole brain, was evaluated based on multisite rs-fMRI data for 688 subjects (215 normal controls (NCs), 221 amnestic mild cognitive impairment (aMCI) 252 AD). Two-sample t-tests were used to detect group differences between AD patients and NCs from the same site. Differences in the AM maps were statistically analyzed via the Stouffer's meta-analysis. Consistent regions of lower spontaneous brain activity in the default mode network and increased activity in the bilateral hippocampus/parahippocampus, thalamus, caudate nucleus, orbital part of the middle frontal gyrus and left fusiform were observed in the AD patients compared with those in NCs. Significant correlations (P?0.05, Bonferroni corrected) between the normalized amplitude index and Mini-Mental State Examination scores were found in the identified brain regions, which indicates that the altered brain activity was associated with cognitive decline in the patients. Multivariate analysis and leave-one-site-out cross-validation led to a 78.49% prediction accuracy for single-patient classification. The altered activity patterns of the identified brain regions were largely correlated with the FDG-PET results from another independent study. These results emphasized the impaired brain activity to provide a robust and reproducible imaging signature of AD. | Jiachen Li Dan Jin Ang Li Bing Liu Chengyuan Song Pan Wang Dawei Wang Kaibin Xu Hongwei Yang Hongxiang Yao Bo Zhou Alexandre Bejanin Gael Chetelat Tong Han Jie Lu Qing Wang Chunshui Yu Xinqing Zhang Yuying Zhou Xi Zhang Tianzi Jiang Yong Liu Ying Han | 2019 | Science Bulletin2019,64,14: | 3 |
| 2 | Arabidopsis ENOR3 regulates RNAi-mediated antiviral defense显示文摘Viruses can infect host plants to cause severe diseases and substantial agricultural loss, while plants have evolved RNA interference(RNAi) strategy to defend against viral infection. Despite enormous efforts, only a few host proteins in RNAi pathway were shown to mediate antiviral defense, including RNA-dependent RNA polymerase 1(RDR1), RDR6, DICER-LIKE 2(DCL2) and DCL4. In this study, we carried out a genetic screen for antiviral factors of RNAi pathway in Arabidopsis rdr6 background via inoculation with a 2 bdeficient Cucumber Mosaic Virus(CMV-D2b). We identified a mutant susceptible to CMV-D2b, referred to as enhancer of rdr6(enor) 3-1 rdr6, and found that ENOR3 encodes a functionally unknown protein with high homology to the mammalian Non Imprinted in Prader-Willi/Angelman(NIPA) magnesium transporters. ENOR3 inhibits accumulation of CMV-D2b and acts additively with RDR1, RDR6, DCL2 and DCL4 in antiviral defense. These results uncover that ENOR3 is a key component in antiviral RNAi pathway, and provide new insights into antiviral immunity. | Hua Gao Mai Yang Haitao Yang Yue Qin Biyun Zhu Gang Xu Chengyuan Xie Dewei Wu Xiaolin Zhang Wanxiang Li Jianbin Yan Susheng Song Tiancong Qi Shou-Wei Ding Daoxin Xie | 2018 | Journal of Genetics and Genomics2018,45,1: | 2 |
| 3 | Driving mode at pothole-subsidence pavement based on wheel path 显示文摘 | Pei Yulong Mao Chengyuan Song Mo | 2012 | Advanced Materials Research2012,,: | 1 |
| 4 | Impact of inactivated COVID-19 vaccines on viral shedding in B.1.617.2(Delta)variant-infected patients显示文摘Dear Editor,The coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-COV-2)has waged a global pandemic. As of April 15, 2022, more than 500 million cases of COVID-19 had been reported, with more than 6 million deaths. The ultimate arsenal to fight against this pandemic is highly effective vaccines (Bok et al.,2021;Sadarangani et al., 2021). | Zhiliang Hu Yi Yin Kai Wang Miaomiao Xu Chengyuan Ding Yan Song Changhua Yi Junwei Li Yongxiang Yi Zhihang Peng | 2022 | Science China(Life Sciences)2022,65,12: | 0 |
| 5 | A class of admissible estimators of multiple regression coefficient with an unknown variance显示文摘Suppose that we observe y|θ,τ∼N_(p)(Xθ,τ^(−1)I_(p)),where θ is an unknown vector with unknown precisionτ.Estimating the regression coefficient θ with known τ has been well studied.However,statistical properties such as admissibility in estimating θ with unknownτare not well studied.Han[(2009).Topics in shrinkage estimation and in causal inference(PhD thesis).Warton School,University of Pennsylvania]appears to be the first to consider the problem,developing sufficient conditions for the admissibility of estimating means of multivariate normal distributions with unknown variance.We generalise the sufficient conditions for admissibility and apply these results to the normal linear regression model.2-level and 3-level hierarchical models with unknown precisionτare investigated when a standard class of hierarchical priors leads to admissible estimators of θ under the normalised squared error loss.One reason to consider this problem is the importance of admissibility in the hierarchical prior selection,and we expect that our study could be helpful in providing some reference for choosing hierarchical priors. | Chengyuan Song Dongchu Sun | 2020 | Statistical Theory and Related Fields2020,4,2: | 0 |
| 6 | Reproducible Abnormalities and Diagnostic Generalizability of White Matter in Alzheimer’s Disease显示文摘Alzheimer’s disease(AD)is associated with the impairment of white matter(WM)tracts.The current study aimed to verify the utility of WM as the neuroimaging marker of AD with multisite diffusion tensor imaging datasets[321 patients with AD,265 patients with mild cognitive impairment(MCI),279 normal controls(NC)],a unified pipeline,and independent site cross-validation.Automated fiber quantification was used to extract diffusion profiles along tracts.Random-effects meta-analyses showed a reproducible degeneration pattern in which fractional anisotropy significantly decreased in the AD and MCI groups compared with NC.Machine learning models using tract-based features showed good generalizability among independent site cross-validation.The diffusion metrics of the altered regions and the AD probability predicted by the models were highly correlated with cognitive ability in the AD and MCI groups.We highlighted the reproducibility and generalizability of the degeneration pattern of WM tracts in AD. | Yida Qu Pan Wang Hongxiang Yao Dawei Wang Chengyuan Song Hongwei Yang Zengqiang Zhang Pindong Chen Xiaopeng Kang Kai Du Lingzhong Fan Bo Zhou Tong Han Chunshui Yu Xi Zhang Nianming Zuo Tianzi Jiang Yuying Zhou Bing Liu Ying Han Jie Lu Yong Liu Multi-Center Alzheimer’s Disease Imaging(MCADI)Consortium | 2023 | Neuroscience Bulletin2023,39,10: | 0 |
| 7 | Clinical efficacy of low-dose emetine for patients with COVID-19:a real-world study显示文摘Objective:Emetine,an isoquinoline alkaloid that is enriched at high concentrations in the lung,has shown potent in vitro activity against severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).The aim of this study was to better understand the effectiveness of low-dose emetine for patients with coronavirus disease 2019(COVID-19).Methods:In this real-world study,63 patients with mild or common COVID-19 were recruited from Wuhan Fangcang Shelter Hospital and five COVID-19-designated hospitals in Anhui Province,China from February to March 2020.Thirty-nine patients from Wuhan Fangcang Shelter Hospital were assigned to a pragmatic randomized controlled clinical trial,and 24 patients from the 5 COVID-19-designated hospitals in Anhui Province underwent a real-world study.The medication course of emetine was less than 10 days.The main symptoms and adverse reactions of all patients were observed and recorded.The primary outcome measure was the time required for a negative SARS-CoV-2 RNA result or the negative result rate on day 10.Secondary outcomes included axillary temperature,transcutaneous oxygen saturation,and respiratory frequency recovery.The study was approved by the Ethics Committee of The First Affiliated Hospital of Anhui Medical University on February 20,2019(approval No.PJ2020-03-19)and was registered with the Chinese Clinical Trial Registry on February 20,2019(registration number:ChiCTR2000030022).Results:The oxygen saturation values were higher in the treatment group than in the control group on the first day after enrollment for patients treated at Fangcang Shelter Hospital.The axillary body temperature,respiratory rate,and oxygen saturation among patients in Fangcang Shelter Hospital were related to the time effect but not to the intervention measures.The respiratory rate and oxygen saturation of patients in the Anhui designated hospitals were related to the intervention measures but not to the time effect.The axillary body temperature of patients in Anhui designated hospitals was related to the time effect but not to the intervention measures.Conclusion:Our preliminary study shows that low-dose emetine combined with basic conventional antiviral drugs improves clinical symptoms in patients with mild and common COVID-19 without apparent adverse effects,suggesting that moderately increased doses of emetine may have good potential for treatment and prevention of COVID-19. | Song Fan Qi Zhen Cheng Chen Wenjun Wang Qibing Wu Huihui Ma Chengyuan Zhang Li Zhang Baojing Lu Huiyao Ge Liang Yong Bao Li Yafen Yu Weiwei Chen Yiwen Mao Guangbo Qu Li Su Aoli Wang Zhen Ding Haiwen Li Jin Zhang Yonglian Wang Yufeng Gao Xihai Xu Zhongming Zhu Jun Chen Long Zhang Hongqiang Liang Song Wu Meng Huang Quan Xia Ping Li Yehuan Sun Chaozhao Liang Wei Wei Qingsong Liu Liangdan Sun | 2021 | Journal of Bio-X Research2021,4,2: | 0 |
| 8 | Posterior propriety of an objective prior for generalized hierarchical normal linear models显示文摘Bayesian Hierarchical models has been widely used in modern statistical application.To deal with the data having complex structures,we propose a generalized hierarchical normal linear(GHNL)model which accommodates arbitrarily many levels,usual design matrices and'vanilla'covari-ance matrices.Objective hyperpriors can be employed for the GHNL model to express ignorance or match frequentist properties,yet the common objective Bayesian approaches are infeasible or fraught with danger in hierarchical modelling.To tackle this issue,[Berger,J,Sun,D.&Song,C.(2020b).An objective prior for hyperparameters in normal hierarchical models.Journal of Multi-variate Analysis,178,104606.http://gffzzd3cc09b8251d45dfsqcn9ocxf5vfq60cv.ffgz.tsg.suse.edu.cn/10.1016/jmva.2020.104606]proposed a particular objective prior and investigated its properties comprehensively.Posterior propriety is important for the choice of priors to guarantee the convergence of MCMC samplers.James Berger conjec-tured that the resulting posterior is proper for a hierarchical normal model with arbitrarily many levels,a rigorous proof of which was not given,however.In this paper,we complete this story and provide an user friendly guidance.One main contribution of this paper is to propose a new technique for deriving an elaborate upper bound on the integrated likelihood but also one uni-fied approach to checking the posterior propriety for linear models.An eficient Gibbs sampling method is also introduced and outperforms other sampling approaches considerably. | Cong Lin Dongchu Sun Chengyuan Song | 2022 | Statistical Theory and Related Fields2022,6,4: | 0 |