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| 1 | CD147 antibody specifically and effectively inhibits infection and cytokine storm of SARS-CoV-2 and its variants delta,alpha,beta,and gamma显示文摘SARS-CoV-2 mutations contribute to increased viral transmissibility and immune escape,compromising the effectiveness of existing vaccines and neutralizing antibodies.An in-depth investigation on COVID-19 pathogenesis is urgently needed to develop a strategy against SARS-CoV-2 variants.Here,we identified CD147 as a universal receptor for SARS-CoV-2 and its variants.Meanwhile,Meplazeumab,a humanized anti-CD147 antibody,could block cellular entry of SARS-CoV-2 and its variants-alpha,beta,gamma,and delta,with inhibition rates of 68.7,75.7,52.1,52.1,and 62.3%at 60μg/ml,respectively.Furthermore,humanized CD147 transgenic mice were susceptible to SARS-CoV-2 and its two variants,alpha and beta.When infected,these mice developed exudative alveolar pneumonia,featured by immune responses involving alveoli-infiltrated macrophages,neutrophils,and lymphocytes and activation of IL-17 signaling pathway.Mechanistically,we proposed that severe COVID-19-related cytokine storm is induced by a'spike protein-CD147-CyPA signaling axis':Infection of SARS-CoV-2 through CD147 initiated the JAK-STAT pathway,which further induced expression of cyclophilin A(CyPA);CyPA reciprocally bound to CD147 and triggered MAPK pathway.Consequently,the MAPK pathway regulated the expression of cytokines and chemokines,which promoted the development of cytokine storm.Importantly,Meplazumab could effectively inhibit viral entry and inflammation caused by SARS-CoV-2 and its variants.Therefore,our findings provided a new perspective for severe COVID-19-related pathogenesis.Furthermore,the validated universal receptor for SARS-CoV-2 and its variants can be targeted for COVID-19 treatment. | Jiejie Geng Liang Chen Yufeng Yuan Ke Wang Youchun Wang Chuan Qin Guizhen Wu Ruo Chen Zheng Zhang Ding Wei Peng Du Jun Zhang Peng Lin Kui Zhang Yongqiang Deng Ke Xu Jiangning Liu Xiuxuan Sun Ting Guo Xu Yang Jiao Wu Jianli Jiang Ling Li Kun Zhang Zhe Wang Jing Zhang Qingguo Yan Hua Zhu Zhaohui Zheng Jinlin Miao Xianghui Fu Fengfan Yang Xiaochun Chen Hao Tang Yang Zhang Ying Shi Yumeng Zhu Zhuo Pei Fei Huo Xue Liang Yatao Wang Qingyi Wang Wen Xie Yirong Li Mingyan Shi Huijie Bian Ping Zhu Zhi-Nan Chen | 2021 | Signal Transduction and Targeted Therapy2021，6，10： | 6 |
| 2 | Mechanism of Learning and Memory Impairment in Rats Exposed to Arsenic and/or Fluoride Based on Microbiome and Metabolome显示文摘Objective Arsenic(As) and fluoride(F) are two of the most common elements contaminating groundwater resources. A growing number of studies have found that As and F can cause neurotoxicity in infants and children, leading to cognitive, learning, and memory impairments. However, early biomarkers of learning and memory impairment induced by As and/or F remain unclear. In the present study, the mechanisms by which As and/or F cause learning memory impairment are explored at the multi-omics level(microbiome and metabolome).Methods We stablished an SD rats model exposed to arsenic and/or fluoride from intrauterine to adult period.Results Arsenic and/fluoride exposed groups showed reduced neurobehavioral performance and lesions in the hippocampal CA1 region. 16S rRNA gene sequencing revealed that As and/or F exposure significantly altered the composition and diversity of the gut microbiome, featuring the Lachnospiraceae_NK4A136_group, Ruminococcus_1, Prevotellaceae_NK3B31_group, [Eubacterium]_xylanophilum_group. Metabolome analysis showed that As and/or F-induced learning and memory impairment may be related to tryptophan, lipoic acid, glutamate, gamma-aminobutyric acidergic(GABAergic) synapse, and arachidonic acid(AA) metabolism. The gut microbiota, metabolites, and learning memory indicators were significantly correlated.Conclusion Learning memory impairment triggered by As and/or F exposure may be mediated by different gut microbes and their associated metabolites. | ZHANG Xiao Li YU Sheng Nan QU Ruo Di ZHAO Qiu Yi PAN Wei Zhe CHEN Xu Shen ZHANG Qian LIU Yan LI Jia GAO Yi LYU Yi YAN Xiao Yan LI Ben REN Xue Feng QIU Yu Lan | 2023 | Biomedical and Environmental Sciences2023，36，3： | 2 |
| 3 | A combination dimensionality reduction approach to codon position patterns of eubacteria based on their complete genomes显示文摘 | QI Zhao Hui WEI Ruo Yan | 2011 | Journal of theoretical biology2011，272，1： | 1 |
| 4 | Distribution of Avian Influenza A Viruses in Poultry-Related Environment and Its Association with Human Infection in Henan, 2016 to 2017显示文摘Objective To survey avian influenza A viruses(AIVs) in the environment and explore the reasons for the surge in human H7 N9 cases.Methods A total of 1,045 samples were collected from routine surveillance on poultry-related environments and 307 samples from human H7 N9 cases-exposed environments in Henan from 2016 to2017. The nucleic acids of influenza A(Flu A), H5, H7, and H9 subtypes were detected by real-time polymerase chain reaction.Results A total of 27 H7 N9 cases were confirmed in Henan from 2016 to 2017, 24 had a history of live poultry exposure, and 15 had H7 N9 virus detected in the related live poultry markets(LPMs). About 96%(264/275) Flu A positive-environmental samples were from LPMs. H9 was the main AIV subtype(10.05%) from routine surveillance sites with only 1 H7-positive sample, whereas 21.17% samples were H7-positive in H7 N9 cases-exposed environments. Samples from H7 N9 cases-exposed LPMs(47.56%)had much higher AIVs positive rates than those from routine surveillance sites(12.34%). The H7+H9 combination of mixed infection was 78.18%(43/55) of H7-positive samples and 41.34%(43/104) of H9-positive samples.Conclusion The contamination status of AIVs in poultry-related environments is closely associated with the incidence of human infection caused by AIVs. Therefore, systematic surveillance of AIVs in LPMs in China is essential for the detection of novel reassortant viruses and their potential for interspecies transmission. | MA Hong Xia WANG Ruo Lin NIE Yi Fei SU Jia LI Dong Xiao LI Yi DU Yan Hua WEI Hai Yan LI Xing Le WANG Zhe XU Bian Li HUANG Xue Yong | 2019 | Biomedical and Environmental Sciences2019，32，11： | 1 |
| 5 | Correlation between Combined Urinary Metal Exposure and Grip Strength under Three Statistical Models:A Cross-sectional Study in Rural Guangxi显示文摘Objective This study aimed to investigate the potential relationship between urinary metals copper(Cu),arsenic(As),strontium(Sr),barium(Ba),iron(Fe),lead(Pb)and manganese(Mn)and grip strength.Methods We used linear regression models,quantile g-computation and Bayesian kernel machine regression(BKMR)to assess the relationship between metals and grip strength.Results In the multimetal linear regression,Cu(β=−2.119),As(β=−1.318),Sr(β=−2.480),Ba(β=0.781),Fe(β=1.130)and Mn(β=−0.404)were significantly correlated with grip strength(P<0.05).The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was−1.007(95%confidence interval:−1.362,−0.652;P<0.001)when each quartile of the mixture of the seven metals was increased.Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength,with Cu,As and Sr being negatively associated with grip strength levels.In the total population,potential interactions were observed between As and Mn and between Cu and Mn(P_(interactions) of 0.003 and 0.018,respectively).Conclusion In summary,this study suggests that combined exposure to metal mixtures is negatively associated with grip strength.Cu,Sr and As were negatively correlated with grip strength levels,and there were potential interactions between As and Mn and between Cu and Mn. | LIANG Yu Jian RONG Jia Hui WANG Xue Xiu CAI Jian Sheng QIN Li Dong LIU Qiu Mei TANG Xu MO Xiao Ting WEI Yan Fei LIN Yin Xia HUANG Shen Xiang LUO Ting Yu GOU Ruo Yu CAO Jie Jing HUANG Chu Wu LU Yu Fu QIN Jian ZHANG Zhi Yong | 2024 | Biomedical and Environmental Sciences2024，37，1： | 0 |
| 6 | AN IMPROVED ERROR ANALYSIS FOR FINITE ELEMENT APPROXIMATION OF BIOLUMINESCENCE TOMOGRAPHY显示文摘这篇论文涉及源于分子的成像的区域的一个提出病的问题并且作为 BLT 被知道问题。用 Tikhonov 规则化技术,一个二次的优化问题能被提出。我们为调整优化问题的有限元素近似提供改进错误估计。一些数字例子被举表明我们的理论结果。 | Wei Gong Ruo Li Ningning Yan Weibo Zhao | 2008 | Journal of Computational Mathematics2008，26，3： | 0 |
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