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| 1 | Clinical and biochemical indexes from 2019-nCoV infected patients linked to viral loads and lung injury显示文摘The outbreak of the 2019-nCoV infection began in December 2019 in Wuhan,Hubei province,and rapidly spread to many provinces in China as well as other countries.Here we report the epidemiological,clinical,laboratory,and radiological characteristics,as well as potential biomarkers for predicting disease severity in 2019-nCoV-infected patients in Shenzhen,China.All 12 cases of the 2019-nCoV-infected patients developed pneumonia and half of them developed acute respiratory distress syndrome (ARDS).The most common laboratory abnormalities were hypoalbuminemia,lymphopenia,decreased percentage of lymphocytes (LYM) and neutrophils (NEU),elevated C-reactive protein (CRP) and lactate dehydrogenase (LDH),and decreased CD8 count.The viral load of 2019-nCoV detected from patient respiratory tracts was positively linked to lung disease severity.ALB,LYM,LYM (%),LDH,NEU (%),and CRP were highly correlated to the acute lung injury.Age,viral load,lung injury score,and blood biochemistry indexes,albumin (ALB),CRP,LDH,LYM (%),LYM,and NEU (%),may be predictors of disease severity.Moreover,the Angiotensin Ⅱlevel in the plasma sample from 2019-nCoV infected patients was markedly elevated and linearly associated to viral load and lung injury.Our results suggest a number of potential diagnosis biomarkers and angiotensin receptor blocker (ARB) drugs for potential repurposing treatment of 2019-nCoV infection. | Yingxia Liu Yang Yang Cong Zhang Fengming Huang Fuxiang Wang Jing Yuan Zhaoqin Wang Jinxiu Li Jianming Li Cheng Feng Zheng Zhang Lifei Wang Ling Peng Li Chen Yuhao Qin Dandan Zhao Shuguang Tan Lu Yin Jun Xu Congzhao Zhou Chengyu Jiang Lei Liu | 2020 | Science China(Life Sciences)2020，63，3： | 157 |
| 2 | Vertical ozone profiles deduced from measurements of SBUS on FY-3 satellite显示文摘The FY-3 satellite is a second-generation Chinese polar-orbit meteorological satellite.The Solar Backscatter Ultraviolet Sounder (SBUS),one of the main payloads on the FY-3 satellite,is the first Chinese ozone-monitoring instrument on a meteorological satellite.As part of the in-orbit validation of FY-3,we carried out a retrieval trial using measurements from SBUS during the period of 17-30 July,2008,and compared those data with measurements and retrieved profiles from the National Oceanic and Atmospheric Administration (NOAA) satellite SBUV/2.The results show that the precision of the measurements and retrieved profiles are quite good.The averaged relative difference percentages of the ozone profiles retrieved from SBUS and those from SBUV/2 are within ±7%. | HUANG FuXiang LIU NianQing ZHAO MingXian WANG ShuRong HUANG Yu | 2010 | Chinese Science Bulletin2010，55，10： | 9 |
| 3 | Elevated plasma levels of selective cytokines in COVID-19 patients reflect viral load and lung injury显示文摘A recent outbreak of pneumonia in Wuhan,China was found to be caused by a 2019 novel coronavirus(2019-nCoV or SARS-CoV-2 or HCoV-19).We previously reported the clinical features of 12 patients with2019-n Co V infections in Shenzhen,China.To further understand the pathogenesis of COVID-19 and find better ways to monitor and treat the disease caused by 2019-n Co V,we measured the levels of 48 cytokines in the blood plasma of those 12 COVID-19 patients.Thirty-eight out of the 48 measured cytokines in the plasma of 2019-n Co V-infected patients were significantly elevated compared to healthy individuals.Seventeen cytokines were linked to 2019-nCoV loads.Fifteen cytokines,namely M-CSF,IL-10,IFN-α2,IL-17,IL-4,IP-10,IL-7,IL-1 ra,G-CSF,IL-12,IFN-γ,IL-1α,IL-2,HGF and PDGF-BB,were strongly associated with the lung-injury Murray score and could be used to predict the disease severity of2019-n Co V infections by calculating the area under the curve of the receiver-operating characteristics.Our results suggest that 2019-nCoV infections trigger extensive changes in a wide array of cytokines,some of which could be potential biomarkers of disease severity of 2019-n Co V infections.These findings will likely improve our understanding of the immunopathologic mechanisms of this emerging disease.Our results also suggest that modulators of cytokine responses may play a therapeutic role in combating the disease once the functions of these elevated cytokines have been characterized. | Yingxia Liu Cong Zhang Fengming Huang Yang Yang Fuxiang Wang Jing Yuan Zheng Zhang Yuhao Qin Xiaoyun Li Dandan Zhao Shunwang Li Shuguang Tan Zhaoqin Wang Jinxiu Li Chenguang Shen Jianming Li Ling Peng Weibo Wu Mengli Cao Li Xing Zhixiang Xu Li Chen Congzhao Zhou William J Liu Lei Liu Chengyu Jiang | 2020 | National Science Review2020，7，6： | 6 |
| 4 | Study on the Metallogenetism of Sub-mantle Plume and Mantle Branches in the Gold Mineralization Concentration Area of Northwest Jiaodong Peninsula显示文摘The northwest of Jiaodong peninsula is characterized by its greatest gold concentration area, enormous gold reserves and limited time interval(115±5Ma) of gold mineralization in China. Studies show that the east area of north China began its mantle plume evolution since the Yanshanian movement, and the Laiyang sub-mantle plume and its surrounding mantle branches such as those in Guojiadian, Aishan and Panshidian were formed in the mineralization concentration area of northwestern Jiaodong peninsula. With the development of mantle plume → sub-mantle plume → mantle branch → favorable expending structures, the deep-derived hydrothermal fluid moved up to the favorable places, such as brittle-ductile or ductile-brittle shearing zones, the internal and external contact zones of intrusions, dense fracturing zones and the contact zones between dikes and countryrocks, and concentrated into deposits. Then the gold mineralization concentration zones that are centralized on mantle branches were formed. This study takes Guojiadian mantle branch as an example to discuss their metallogenetism and conclude the metallogenetic mode. | NIU Shuyin CHENG Guangsuo ZHANG Jianzhen SUN Aiqun MA Baojun ZHANG Fuxiang WANG Baode XU Meng WU Jichun ZHAO Rongxin WANG Shanfei | 2014 | Acta Geologica Sinica(English Edition)2014，88，5： | 4 |
| 5 | Operation of the CSNS Penning surface H^- ion source显示文摘The accelerator complex of the China Spallation Neutron Source (CSNS) consists of a H- linear accelerator (linac) and a rapid cycling synchrotron (RCS). The linac contains a Penning surface H- ion source. The designed energy and the beam current of the source are 50 keV and 20 mA respectively, with a normalized root mean square (norm. rms.) emittance of 0.2π mm mrad. The manufactures and tests of the discharge chamber are in great progress. The construction of H- ion source test stand has been completed, and the operation of the source is also in progress. Stable H- ion beams with energy of 50 keV and current up to 50 mA are attained. Emittance measurement for the H- beam is being prepared. | WU XiaoBing OUYANG HuaFu CHI YunLong HE Wei HUANG Tao LI Gang LIU YingMan LU YanHua XU TaoGuang ZHANG JunSong ZHANG HuaShun ZHAO FuXiang | 2011 | Science China(Physics,Mechanics & Astronomy)2011，54，S2： | 2 |
| 6 | Peripheral blood mitochondrial DNA content, A10398G polymorphism, and risk of breast cancer in a Han Chinese population显示文摘 | Huangang Jiang Hong Zhao Hui Xu Liu Hu Wenbo Wang Yuehua Wei You Wang Xiaohong Peng Fuxiang Zhou | 2014 | Cancer Sci2014，，6： | 1 |
| 7 | Inner Damage and Anti-Chloride Penetration of High- Performance Concrete under Axial Tensile Load 显示文摘 | JIANG Fuxiang XIN lei ZHAO Tiejun | 2011 | Advanced Materials Research2011，，261262263： | 1 |
| 8 | Laboratory Diagnosis and Monitoring the Viral Shedding of SARS-CoV-2 Infection显示文摘The worldwide epidemic of coronavirus disease 2019(COVID-19)is ongoing.Rapid and accurate detection of the causative virus SARSCoV-2 is vital for the treatment and control of COVID-19.In this study,the comparative sensitivity of different respiratory specimen types were retrospectively analyzed using 3,552 clinical samples from 410 COVID-19 patients confirmed by Guangdong CDC(Center for Disease Control and Prevention).Except for bronchoalveolar lavage fluid(BALF),the sputum possessed the highest positive rate(73.4%–87.5%),followed by nasal swabs(53.1%–85.3%)for both severe and mild cases during the first 14 days after illness onset(d.a.o.).Viral RNA could be detected in all BALF samples collected from the severe group within 14 d.a.o.and lasted up to 46 d.a.o.Moreover,although viral RNA was negative in the upper respiratory samples,it was also positive in BALF samples in most cases from the severe group during treatment.Notably,no viral RNA was detected in BALF samples from the mild group.Despite typical ground-glass opacity observed via computed tomographic scans,no viral RNA was detected in the first three or all upper respiratory tract specimens from some COVID-19 patients.In conclusion,sputum is most sensitive for routine laboratory diagnosis of COVID-19,followed by nasal swabs.Detection of viral RNA in BALF improves diagnostic accuracy in severe COVID-19 patients. | Yang Yang Minghui Yang Jing Yuan Fuxiang Wang Zhaoqin Wang Jinxiu Li Mingxia Zhang Jinli Wei Ling Peng Gary Wong Haixia Zheng Weibo Wu Chenguang Shen Mingfeng Liao Kai Feng Jianming Li Qianting Yang Juanjuan Zhao Lei Liu Yingxia Liu | 2020 | The Innovation2020，1，3： | 1 |
| 9 | Matrix calculation of high-dimensional cross product and its application in automatic recognition of the endmembers of hyperspectral imagary显示文摘This paper gives the definition of the high-dimensional cross product and its calculation by extending the 3-D cross product definition into the high-dimensional vector space.Based on the properties of the cross product,the volume variance index(VVI)is proposed to be used in extracting automatically the endmembers of the hypherspectral imagery which eliminates the shortcoming of the traditional method of using simplex only where the extraction results were easily impacted by the abnormal pixels.A case study of endmembers extraction experiment using the VVI method with the AVIRIS data for Cuprite has shown a very good result. | GENG XiuRui ZHAO YongChao LIU SuHong WANG FuXiang | 2011 | Science China(Information Sciences)2011，54，1： | 0 |
| 10 | Defect-induced electron rich nanodomains in CoSe_(0.5)S_(1.5)/GA realize fast ion migration kinetics as sodium-ion capacitor anode显示文摘Optimizing charge migration and alleviating volume expansion in anode materials are the key to improve the electrochemical performance for sodium-ion storage devices.Herein,a hierarchical porous conducting matrix confining defect-rich selenium doped cobalt dichalcogenide(CoSe_(0.5)S_(1.5)/GA)is constructed as a promising SICs anode based on the guidance of theoretical calculation analysis.The increased defect concentration significantly enhanced the disorder degree of the compound and presented electron aggregation around the S atoms,which effectively modulated the electronic structure,further enabling high rate and ultra-capacity sodium storage.Moreover,strong interfacial coupling could construct spatial constraint to alleviate volume expansion as well as maintain electrode integrity and stability.The CoSe_(0.5)S_(1.5)/GA electrode can deliver a high capacity of 310.1 mA h g^(-1)after 2000 cycles at 1 A g^(-1),and the CoSe_(0.5)S_(1.5)/GA//AC sodium ion capacitor can exhibit an outstanding energy density of 237.5 W h kg^(-1).A series of characterization and theoretical calculation convincingly reveal that the defect moieties can regulate the Na^(+)storage and diffusion kinetics,which prove that our defect manufacture coupling with space-confined strategy can provide deep insights into the development of high-performance Na^(+)storage devices. | Tianlin Li Danyang Zhao Binghui Du Qing Yin Yongzhi Li Xiaolan Xue Fuxiang Wei Jiqiu Qi Yanwei Sui | 2023 | Journal of Energy Chemistry2023，，12： | 0 |
| 11 | PLSCR1 promotes apoptosis and clearance of retinal ganglion cells in glaucoma pathogenesis显示文摘Glaucoma is the leading cause of irreversible blindness worldwide.In the pathogen-esis of glaucoma,activated microglia can lead to retinal ganglion cells(RGCs)apoptosis and death,however,the molecular mechanisms remain largely unknown.We demonstrate that phospholipid scramblase 1(PLSCR1)is a key regulator promoting RGCs apoptosis and their clearance by microglia.As evidenced in retinal progenitor cells and RGCs of the acute ocular hypertension(AOH)mouse model,overexpressed PLSCR1 induced its translocation from the nucleus to the cytoplasm and cytomembrane,as well as elevated phosphatidylserine exposure and reactive oxygen species generation with subsequent RGCs apoptosis and death.These damages were effectively attenuated by PLSCR1 inhibition.In the AOH model,PLSCR1 led to an increase in M1 type microglia activation and retinal neuroinflammation.Upregulation of PLSCR1 resulted in strongly elevated phagocytosis of apoptotic RGCs by activated microglia.Taken together,our study provides important insights linking activated microglia to RGCs death in the glaucoma pathogenesis and other RGC-related neurodegenerative diseases. | Jingyi Luo Qing Lian Deliang Zhu Minglei Zhao Tingfang Mei Bizhi Shang Zeqiu Yang Chujun Liu Wenchang Xu Lan Zhou Keling Wu Xinqi Liu Yuhua Lai Fuxiang Mao Weihua Li Chengguo Zuo Kang Zhang Mingkai Lin Yehong Zhuo Yizhi Liu Lin Lu Ling Zhao | 2023 | Genes & Diseases2023，10，4： | 0 |
| 12 | Accurate prediction of pan-cancer types using machine learning with minimal number of DNA methylation sites显示文摘DNA methylation analysis has been applied to determine the primary site of cancer;however, robust and accurate prediction of cancer types with a minimum number of sites is still a significant scientific challenge. To build an accurate and robust cancer type prediction tool with a minimum number of DNA methylation sites, we internally benchmarked different DNA methylation site selection and ranking procedures, as well as different classification models. We used The Cancer Genome Atlas dataset (26 cancer types with 8296 samples) to train and test models and used an independent dataset (17 cancer types with 2738 samples) for model validation. A deep neural network model using a combined feature selection procedure (named MethyDeep) can predict 26 cancer types using 30 methylation sites with superior performance compared with the known methods for both primary and metastatic cancers in independent validation datasets. In conclusion, MethyDeep is an accurate and robust cancer type predictor with the minimum number of DNA methylation sites;it could help the cost-effective clarification of cancer of unknown primary patients and the liquid biopsy-based early screening of cancers. | Wei Ning Tao Wu Chenxu Wu Shixiang Wang Ziyu Tao Guangshuai Wang Xiangyu Zhao Kaixuan Diao Jinyu Wang Jing Chen Fuxiang Chen Xue-Song Liu | 2023 | Journal of Molecular Cell Biology2023，15，4： | 0 |
| 13 | Predicting Illness Severity and Short-Term Outcomes of COVID-19:A Retrospective Cohort Study in China显示文摘Introduction COVID-19,caused by SARS-CoV-2,is a highly contagious disease.1 By April 8,2020,more than 1,350,000 patients were diagnosed with COVID-19 globally,with more than 79,000 deaths worldwide attributable to the disease.2 Recent clinical data reported that mild and critical patients manifested different symptoms.Most of the mild patients with COVID-19 had symptoms such as fever,cough,and mild pneumonia,whereas the critical cases presented dyspnea,respiratory failure,sepsis,organ dysfunction,and even eventual death. | Chuming Chen Haihui Wang Zhichao Liang Ling Peng Fang Zhao Liuqing Yang Mengli Cao Weibo Wu Xiao Jiang Peiyan Zhang Yinfeng Li Li Chen Shiyan Feng Jianming Li Lingxiang Meng Huishan Wu Fuxiang Wang Quanying Liu Yingxia Liu | 2020 | The Innovation2020，1，1： | 0 |
| 14 | AIM-CICs: an automatic identification method for cell-in-cell structures based on convolutional neural network显示文摘Whereas biochemical markers are available for most types of cell death, current studies on non-autonomous cell death by entosis rely strictly on the identification of cell-in-cell structures (CICs), a unique morphological readout that can only be quantified manually at present. Moreover, the manual CIC quantification is generally over-simplified as CIC counts, which represents a major hurdle against profound mechanistic investigations. In this study, we take advantage of artificial intelligence technology to develop an automatic identification method for CICs (AIM-CICs), which performs comprehensive CIC analysis in an automated and efficient way. The AIM-CICs, developed on the algorithm of convolutional neural network, can not only differentiate between CICs and non-CICs (the area under the receiver operating characteristic curve (AUC) > 0.99), but also accurately categorize CICs into five subclasses based on CIC stages and cell number involved (AUC > 0.97 for all subclasses). The application of AIM-CICs would systemically fuel research on CIC-mediated cell death, such as high-throughput screening. | Meng Tang Yan Su Wei Zhao Zubiao Niu Banzhan Ruan Qinqin Li You Zheng Chenxi Wang Bo Zhang Fuxiang Zhou Xiaoning Wang Hongyan Huang Hanping Shi Qiang Sun | 2022 | Journal of Molecular Cell Biology2022，14，6： | 0 |
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