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Prednisolone therapy accelerates recovery of severe drug-induced liver injury: A prospective, randomized controlled study

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iLIVER 2023年第3期2卷 156-162页

作者： Fang-Jiao Song Hong-Ling Liu Ying Sun Tian-Jiao Xu Dong-Ze Li Hai-Bo Wang Shao-Jie Xin Yu-Dong Wang gregory cheng George Lau Sa Lv Shao-Li You Bing Zhu Senior Department of Hepatology Fifth Medical Center of Chinese PLA General HospitalBeijing 100005China Humanity and Health Clinical Trial Center Humanity&Health Medical GroupHong Kong SARChina Faculty of Health Science University of MacaoMacao SARChina

Background and aims:Drug-induced liver injury(DILI)is one of the most serious adverse drug reactions and its incidence has been increasing *** evidence suggests that immune activation and systemic inflammatory responses are very important in the progression of *** are often used in DILI,but their clinical usefulness remains *** therefore conducted a prospective,randomized controlled study to investigate whether corticosteroid therapy can accelerate recovery and reduce mortality in severe DILI(SDILI).Methods:SDILI patients with total bilirubin?171μmol/L who presented to the Fifth Medical Center of Chinese PLA General Hospital,Beijing from 2016 to 2019 were randomly allocated to prednisolone and control *** endpoints were resolution of SDILI,defined as a decrease in total bilirubin of at least 35μmol/L to<171μmol/L,and overall survival at 6 *** in the prednisolone group received prednisolone 60 mg/day therapy for the first 7 *** with a decrease in total bilirubin of more than 35μmol/L on day 8 continued on tapering doses of prednisolone;otherwise,prednisolone was ***:On day 8,50.75%(34/67)and 26.47%(18/68)of the participants in the prednisolone and control groups,respectively,achieved the primary endpoint(p¼0.002).However,there was no significant difference in overall survival at 6 months:95.52%(64/67)vs.91.18%(62/68)in the prednisolone and control groups,respectively(p¼0.3).All deaths in both groups occurred in patients who failed to achieve SDILI resolution on day ***:Prednisolone therapy may accelerate the recovery of SDILI.

关键词： Randomized study Severe drug-induced liver injury Hepatotoxicity Prednisolone Efficacy Accelerated recovery

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Data-driven analysis of process,structure,and properties of additively manufactured Inconel 718 thin walls

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npj Computational Materials 2022年第1期8卷 1168-1182页

作者： Lichao Fang Lin cheng Jennifer A.Glerum Jennifer Bennett Jian Cao gregory J.Wagner Department of Mechanical Engineering Northwestern UniversityEvanstonIL60208USA Department of Materials Science and Engineering Northwestern UniversityEvanstonIL60208USA DMG MORI Hoffman EstatesIL60192USA Department of Mechanical and Materials Engineering Worcester Polytechnic InstituteWorcesterMA01609USA Department of Civil and Mechanical Engineering US Military Acadeemy at West PointWest PointNY10996USA

In additive manufacturing of metal parts,the ability to accurately predict the extremely variable temperature field in detail,and relate it quantitatively to structure and properties,is a key step in predicting part performance and optimizing process *** this work,a finite element simulation of the directed energy deposition(DED)process is used to predict the space-and time-dependent temperature field during the multi-layer build process for Inconel 718 *** thermal model results show good agreement with dynamic infrared images captured in situ during the DED *** relationship between predicted cooling rate,microstructural features,and mechanical properties is examined,and cooling rate alone is found to be insufficient in giving quantitative property *** machine learning offers an efficient way to identify important features from series data,we apply a 1D convolutional neural network data-driven framework to automatically extract the dominant predictive features from simulated temperature *** good predictions of material properties,especially ultimate tensile strength,are obtained using simulated thermal history *** further interpret the convolutional neural network predictions,we visualize the extracted features produced on each convolutional layer and compare the convolutional neural network detected features of thermal histories for high and low ultimate tensile strength cases.A key result is the determination that thermal histories in both high and moderate temperature regimes affect material properties.

关键词： Inconel process additive

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A decomposition approach to the design of a multiferroic memory bit

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Frontiers of Mechanical Engineering 2017年第2期12卷 215-223页

作者： Ruben ACEVEDO cheng-Yen LIANG gregory P. CARMAN Abdon E. SEPULVEDA Mechanical and Aerospace Engineering Department University ofCalifornia Los Angeles Los Angeles CA 90095-1597 USA

The objective of this paper is to present a methodology for the design of a memory bit to minimize the energy required to write data at the bit level. By straining a ferromagnetic nickel nano-dot by means of a piezoelectric substrate, its magnetization vector rotates between two stable states defined as a 1 and 0 for digital memory. The memory bit geometry, actuation mechanism and voltage control law were used as design variables. The approach used was to decompose the overall design process into simpler sub-problems whose structure can be exploited for a more efficient solution. This method minimizes the number of fully dynamic coupled finite element analyses required to converge to a near optimal design, thus decreasing the computational time for the design process. An in-plane sample design problem is presented to illustrate the advantages and flexibility of the procedure.

关键词： multiferroics nano memory piezoelectric,optimization

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Laser capture microdissection and genetic analysis of carbon-labeled Kupffer cells

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World Journal of Gastroenterology 2009年第14期15卷 1708-1718页

作者： Stephan Gehring Edmond Sabo Maryann E San Martin Elizabeth M Dickson Chao-Wen cheng Stephen H gregory Department of Medicine Rhode Island Hospital and The Warren Alpert Medical School of Brown University Providence RI 02903 United States Department of Pathology Rhode Island Hospital and The Warren Alpert Medical School of Brown University Providence RI 02903 United States zentrum fur Kinder- und Jugendmedizin der Universitaitsmedizin der Johannes Gutenberg-Universitait 55101 Mainz Germany

AIM： To develop a method of labeling and microdissecting mouse Kupffer cells within an extraordinarily short period of time using laser capture microdissection （LCM）. METHODS： Tissues are complex structures comprised of a heterogeneous population of interconnected cells. LCM offers a method of isolating a single cell type from specific regions of a tissue section. LCM is an essential approach used in conjunction with molecular analysis to study the functional interaction of cells in their native tissue environment. The process of labeling and acquiring cells by LCM prior to mRNA isolation can be elaborate, thereby subjecting the RNA to considerable degradation. Kupffer cell labeling is achieved by injecting India ink intravenously, thus circumventing the need for in vitro staining. The significance of this novel approach was validated using a cholestatic liver injury model. RESULTS： mRNA extracted from the microdissected cell population displayed marked increases in colonystimulating factor-1 receptor and Kupffer cell receptor message expression, which demonstrated Kupffer cell enrichment. Gene expression by Kupffer ceils derived from bile-duct-ligated, versus sham-operated, mice was compared. Microarray analysis revealed a significant （2.5-fold, q value 〈 10） change in 493 genes. Based on this fold-change and a standardized PubMed search, 10 genes were identified that were relevant to the ability of Kupffer cells to suppress liver injury. CONCLUSION; The methodology outlined herein provides an approach to isolating high quality RNA from Kupffer cells, without altering the tissue integrity.

关键词： Kupffer cells India ink Laser capturemicrodissection Bile duct ligation DNA microarray

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Toward scalable fabrication of electrochemical paper sensor without surface functionalization

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npj Flexible Electronics 2022年第1期6卷 99-106页

作者： cheng Wang Rui Wu Hao Ling Zhiling Zhao Wenjia Han Xiaowen Shi gregory F.Payne Xiaohui Wang State Key Laboratory of Pulp and Paper Engineering South China University of Technology(SCUT)Guangzhou 510640China Institute for Bioscience and Biotechnology Research(IBBR) University of MarylandCollege ParkMD 20742USA State Key Laboratory of Biobased Material and Green Papermaking Shandong Academy of SciencesQilu University of TechnologyJinan 250353China School of Resource and Environmental Science Hubei Biomass-Resource Chemistry and Environmental Biotechnology Key LaboratoryWuhan UniversityWuhan 430079China

Paper-based electrochemical sensors provide the opportunity for low-cost,portable and environmentally friendly single-use chemical analysis and there are various reports of surface-functionalized paper *** we report a composite paper electrode that is fabricated through designed papermaking using cellulose,carbon fibers(CF),and graphene oxide(GO).The composite paper has well-controlled structure,stable,and repeatable properties,and offers the electrocatalytic activities for sensitive and selective chemical *** demonstrate that this CF/GO/cellulose composite paper can be reduced electroche mically using relatively mild conditions and this GO reduction confers electrocatalytic properties to the composite ***,we demonstrate that this composite paper offers sensing performance(sensitivity and selectivity)comparable to,or better than,paperbased sensors prepared by small-batch surface-modification(e.g.,printing)*** envision this coupling of industrialized papermaking technologies with interfacial engineering and electrochemical reduction can provide a platform for single-use and portable chemical detection for a wide range of applications.

关键词： composite surface portable

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Modeling process-structure-property relationships for additive manufacturing

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Frontiers of Mechanical Engineering 2018年第4期13卷 482-492页

作者： Wentao YAN Stephen LIN Orion L. KAFKA cheng YU Zeliang LIU Yanping LIAN Sarah WOLFF Jian CAO gregory J. WAGNER Wing Kam LIU Department of Mechanical Engineering Northwestern University Evanston IL 60201 USA

This paper presents our latest work on comprehensive modeling of process-structure-property relationships for additive manufacturing （AM） materials, including using data-mining techniques to close the cycle of design-predict-optimize. To illustrate the process- structure relationship, the multi-scale multi-physics pro- cess modeling starts from the micro-scale to establish a mechanistic heat source model, to the meso-scale models of individual powder particle evolution, and finally to the macro-scale model to simulate the fabrication process of a complex product. To link structure and properties, a high- efficiency mechanistic model, self-consistent clustering analyses, is developed to capture a variety of material response. The model incorporates factors such as voids, phase composition, inclusions, and grain structures, which are the differentiating features of AM metals. Furthermore, we propose data-mining as an effective solution for novel rapid design and optimization, which is motivated by the numerous influencing factors in the AM process. We believe this paper will provide a roadmap to advance AM fundamental understanding and guide the monitoring and advanced diagnostics of AM processing.

关键词： additive manufacturing thermal fluid flow data mining material modeling

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Carbohydrate-associated epitope-based anti-cancer drugs and vaccines

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Advances in Bioscience and Biotechnology 2013年第9期4卷 18-23页

作者： gregory Lee cheng-Yuan Huang Song-Nan Chow Chin-Hsiang Chien Department of Obstetrics/Gynecology National Taiwan University Hospital Taipei Chinese Taipei Institute of Biochemistry and Molecular Biology National Yang Ming University Taipei Chinese Taipei UBC Center for Reproductive Health University of British Columbia Vancouver Canada Vancouver BioTech Ltd. Vancouver Canada

RP215 is one of the three thousand monoclonal antibodies (Mabs) which were generated against the OC-3-VGH ovarian cancer cell line. RP215 was shown to react with a carbohydrate-associated epitope located specifically on glycoproteins, known as CA215, from cancer cells. Further molecular analysis by matrix adsorption laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) revealed that CA215 consists mainly of immunoglobulin super-family (IgSF) proteins, including immunoglobulins, T-cell receptors, and cell adhesion molecules, as well as several other unrelated proteins. Peptide mappings and glycoanalysis were performed with CA215 and revealed high-mannose and complex bisecting structures with terminal sialic acid in N-glycans. As many as ten O-glycans, which are structurally similar to those of mucins, were also identified. In addition, two additional O-linked glycans were exclusively detected in cancerous immunoglobulins but not in normal B cell-derived immunoglobulins. Immunizations of mice with purified CA215 resulted in the predominant generation of RP215-related Mabs, indicating the immunodominance of this carbohydrate-associated epitope. Anti-idiotype (anti-id) Mabs of RP215, which were generated in the rat, were shown to contain the internal images of the carbohydrate-associated epitope. Following immunizations of these anti-id Mabs in mice, the resulting anti-anti-id (Ab3) responses in mice were found to be immunologically similar to that of RP215. Judging from these observations, anti-id Mabs, which carry the internal image of the RP215-specific epitope, may be suitable candidates for anticancer vaccine development in humans.

关键词： Anti-Cancer Drugs Anti-Cancer Vaccines Anti-Idiotype CA215 Carbohydrate-Associated Epitope Immunodominance RP215

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An Experimental Study on the Void Fraction for Gas-Liquid Two-Phase Flows in a Horizontal Pipe

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Fluid Dynamics & Materials Processing 2021年第6期17卷 1037-1048页

作者： Li Lei Jun An Fushun Liang cheng cheng Naixiang Zhou Yanhong Ning Jingzhi Zhang School of Energy and Power Engineering Shandong UniversityJinan250061China Shandong Urban and Rural Planning and Design Institute JinanChina China National Petroleum Corporation Jichai Power Co. Ltd.JinanChina Shenzhen Research Institute of Shandong University ShenzhenChina

The flow patterns and the void fraction related to a gas-liquid two-phase flow in a small channel are experimentally *** test channel is a transparent quartz glass circular channel with an inner diameter of 6.68 *** working fluids are air and water and their superficial velocities range from 0.014 to 8.127 m/s and from 0.0238 to 0.556 m/s,*** void fraction is determined using the flow pattern images captured by a high-speed camera,while quick closing valves are used for *** flow patterns are analyzed in experiments:slug flow,bubbly flow,annular flow and stratified *** intermittent flows(bubbly flow and slug flow),the cross-sectional void fraction is in a borderline condition while its probability distribution function(PDF)image displays a bimodal *** continuous flows(annular flow and stratified flow)the cross-sectional void fraction behaves as a fluctuating continuous curve while the(PDF)image displays a single peak *** volumetric void fraction data are also compared with available predictive formulas,and the results show that the agreement is very *** effort is also provided to improve the so-called gregory and Scott model using the available data.

关键词： Gas-liquid two-phase flow small channel flow regime map probability distribution function void fraction

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Co-located quantitative trait loci mediate resistance to Agrobacterium tumefaciens, Phytophthora cinnamomi,and *** in Juglans microcarpa×*** hybrids

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Horticulture Research 2021年第1期8卷 1363-1373页

作者： Ramesh K.Ramasamy Ming-cheng Luo Charles A.Leslie Dianne Velasco Natalia Ott Ali McClean Abhaya M.Dandekar Mallikarjuna Aradhya Patrick J.Brown gregory T.Browne Daniel A.Kluepfel Andreas Westphal Jan Dvorak Department of Plant Sciences University of CaliforniaDavisUSA USDA-ARS Crops Pathology and Genetics Research Unit Department of Plant PathologyUniversity of CaliforniaDavisUSA National Clonal Germplasm Repository USDA-ARSUniversity of CaliforniaDavisUSA Department of Nematology University of CaliforniaRiversideUSA

Soil-borne plant pathogens represent a serious threat that undermines commercial walnut(Juglans regia)production *** gall,caused by Agrobacterium tumefaciens,and Phytophthora root and crown rots,caused by various Phytophthora spp.,are among the most devastating walnut soil-borne diseases.A recognized strategy to combat soil-borne diseases is adoption of resistant ***,resistance to ***,***,and *** is mapped in the genome of Juglans microcarpa,a North American wild relative of cultivated ***-sib *** mother trees DJUG 31.01 and DJUG 31.09 were crossed with *** ***,producing 353 and 400 hybrids,*** propagated hybrids were genotyped by sequencing to construct genetic maps for the two populations and challenged with the three *** to each of the three pathogens was mapped as a major QTL on the long arm of *** chromosome 4D and was associated with the same haplotype,designated as haplotype b,raising the possibility that the two mother trees were heterozygous for a single Mendelian gene conferring resistance to all three *** deployment of this haplotype in rootstock breeding will facilitate breeding of a walnut rootstock resistant to both crown gall and Phytophthora root and crown rots.

关键词： breeding regia soil

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The first all-season sample set for mapping global land cover with Landsat-8 data

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Science Bulletin 2017年第7期62卷 508-515页

作者： Congcong Li Peng Gong Jie Wang Zhiliang Zhu gregory S. Biging Cui Yuan Tengyun Hu Haiying Zhang Qi Wang Xuecao Li Xiaoxuan Liu Yidi Xu Jing Guo Caixia Liu Kwame O. Hackman Meinan Zhang Yuqi cheng Le Yu Jun Yang Huabing Huang Nicholas Clinton Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System Science Tsinghua University Beijing 100084 China Department of Environmental Science Policy and Management University of California Berkeley. CA 94720-3J 14 USA Joint Center for Global Change Studies Beijing 100875 China State Key Laboratory of Remote Sensing Science Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences Beijing 100101 China United States Geological Survey Restan VA 20192 USA Ministry of Education Key Laboratory for Geospatial Technology for the Middle and Lower Yellow River Regions College of Environment and Planning Henan University Kaifeng 475004 China Googie Inc. 1600 Amphitheatre Pkwy. Mountain View CA 94042 USA

We report the world's first all-season training and validation sample sets for global land cover classification with Landsat-8 *** to this,such samples were only available at a single date primarily from the growing *** is unknown how much limitation such a single-date sample has to mapping global land cover in other seasons of the *** answer this question,we selected available Landsat-8 images from four seasons and collected training and validation samples from *** compared the performances of training samples in different seasons using Random Forest *** found that the use of training samples from any individual season would result in the best overall classification accuracy when validated by samples in the same *** global overall accuracy from combined best seasonal results was 67.2% when classifying the 11 Level-1 classes in the Finer Resolution Observation and Monitoring of Global Land Cover(FROM-GLC) classification *** use of training samples from all seasons(named all-season training sample set hereafter) produced an overall accuracy of 67.0%.We also tested classification within 10° latitude 60° longitude zones using all-season training subsample within each zone and obtained an overall accuracy of 70.2%.This indicates that properly grouped subsamples in space can help improve classification *** the results in this study seem to suggest that it is possible to use an all-season training sample set to reach global optimality with universal applicability in classifying images acquired at any time of a year for global land cover mapping.

关键词： Training sample Validation Latitudinal zones Anytime Anywhere

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