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Effects of host identity on the gut microbiota:A comparative study on three microtinae species

Animal Models and Experimental Medicine 2024年第2期7卷 98-105页

作者： Zhen Yao Wenli Zhao Baohong Tang Qinghua li zhenlong Wang School of life Sciences Zhengzhou UniversityZhengzhouHenan ProvinceP.R.China

Background:Gut microbiota exert an immense effect on host health and host environmental adaptation.Furthermore,the composition and structure of gut microbiota are determined by the environment and host genetic factors.However,the relative contribution of the environment and host genetic factors toward shaping the structure of gut microbiota has been poorly understood.Methods:In this study,we characterized the fecal microbial communities of the closely related voles Neodon fuscus,Lasiopodomys brandtii,and L.mandarinus after caged feeding in the laboratory for 6 months,through high-throughput sequencing and bioinformatics analysis.Results:The results of pairwise comparisons of N.fuscus vs.L.brandtii and L.mandarinus vs.L.brandtii revealed significant differences in bacterial diversity and composition after domestication.While 991 same operational taxonomic units(OTUs)were shared in three voles,there were 362,291,and 303 species-specific OTUs in N.fuscus,L.brandtii,and L.mandarinus,respectively.The relative abundances of Proteobacteria and Prevotella,which are reported to be enriched in high-altitude populations,were significantly higher in high-altitude N.fuscus than in low-altitude L.brandtii after domestication.Firmicutes,which produce various digestive enzymes for energy metabolism,and Spirochaetes,which can degrade cellulose,were found in higher abundance in subterranean L.mandarinus than that in L.brandtii which dwells on the earth surface.Conclusion:Our findings showed that some components of gut microbiota still maintained dominance even when different host species are reared under the same environmental conditions,suggesting that these bacteria are substantially influenced by host factors.

关键词： gut microbiota high-altitude Lasiopodomys brandtii Neodon fuscus

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Optimization for Micro-energy Grid Dispatch Based on Non-supplementary Fired Compressed Air Energy Storage Aided Energy Hub and Hybrid Hyper-spherical Search

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Journal of Modern Power Systems and Clean Energy 2022年第4期10卷 1009-1020页

作者： Zhenlong Li Peng li Jing Xia Xiangqian liu Beijing Jiaotong University BeijingChina State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijingChina Beijing Goldwind Science&Creation Wind Power Equipment Co. Ltd.BeijingChina

Micro-energy grids have shown superiorities over traditional electricity and heating management systems.This paper presents a hybrid optimization strategy for micro-energy grid dispatch with three salient features.First,to enhance the ability to support new storage equipment,an energy hub model is proposed using the non-supplementary fired compressed air energy storage(NSF-CAES).This provides flexible dispatch for cooling,heating and electricity.Second,considering the unique characteristics of the NSF-CAES,a sliding time window(STW)method is designed for simple but effective energy dispatch.Third,for the optimization of energy dispatch,we blend the differential evolution(DE)with the hyper-spherical search(HSS)to formulate a hybrid DE-HSS algorithm,which enhances the global search ability and accuracy.Comparative case studies are performed using real data of scenarios to demonstrate the superiorities of the proposed scheme.

关键词： Energy hub dispatch hyper-spherical search micro-energy grid sliding time window

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Metal size effects over metal/zeolite bifunctional catalysts in the selective hydroalkylation of benzene

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Frontiers of Chemical Science and Engineering 2024年第4期18卷 107-114页

作者： Junjie li Chuang liu zhenlong Jia Yingchun Ye Dawei Lan Wei Meng Jianqiang Wang Zhendong Wang Yongfeng Hu Weimin Yang State Key Laboratory of Green Chemical Engineering and Industrial Catalysis Sinopec Shanghai Research Institute of Petrochemical Technology Co.Ltd.Shanghai 201208China School of Chemical Engineering East China University of Science and TechnologyShanghai 200237China

Bifunctional metal/zeolite materials are some of the most suitable catalysts for the direct hydroalkylation of benzene to cyclohexylbenzene.The overall catalytic performance of this reaction is strongly influenced by the hydrogenation,which is dependent on the metal sizes.Thus,systematically investigating the metal size effects in the hydroalkylation of benzene is essential.In this work,we successfully synthesized Ru and Pd nanoparticles on Sinopec Composition Materials No.1 zeolite with various metal sizes.We demonstrated the size-dependent catalytic activity of zeolite-supported Ru and Pd catalysts in the hydroalkylation of benzene,which can be attributed to the size-induced hydrogen spillover capability differences.Our work presents new insights into the hydroalkylation reaction and may open up a new avenue for the smart design of advanced metal/zeolite bi-functional catalysts.

关键词： size effects bifunctional catalysts metal/zeolite hydroalkylation

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Antibacterial conductive self-healable supramolecular hydrogel dressing for infected motional wound healing

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Science China Chemistry 2022年第11期65卷 2238-2251页

作者： Rui Yu Zhenlong Li Guoying Pan Baolin Guo Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research College of StomatologyXi’an Jiaotong UniversityXi'an 710049China State Key Laboratory for Mechanical Behavior of Materials Frontier Institute of Science and TechnologyXi’an Jiaotong UniversityXi'an710049China

Wounds on stretchable parts of the human body cause prolonged suffering and involve more severe healing processes than wounds on stationary parts. However, they have received insufficient attention compared with other types of chronic wounds. In this study, a novel supramolecular gelatin(GT) hydrogel composed of GT-graft-aniline tetramer and quaternized chitosan was presented. The hydrogel was crosslinked by monoaldehyde β-cyclodextrin via host-guest interaction and dynamic Schiff base and was free from permanent covalent bonds, heavy metals, and oxidants. Given its dynamic feature, the hydrogel exhibited flexibility, self-healing, and tissue adhesiveness and well adapted to motion wounds. Moreover, the hydrogel was bioactive with conductivity, antioxidant property, hemostatic effect, antibacterial, and photothermal effect(the killing ratio for methicillinresistant Staphylococcus aureus(MRSA) was higher than 99.8% after 5 min of near-infrared irradiation) and exhibited ondemand removability. In the full-thickness MRSA-infected motional wound healing experiment, this novel hydrogel exhibited a significantly enhanced wound healing efficacy with a fast wound closure ratio(about 99.0% for 14 days), mild inflammatory response, high level of collagen deposition, and enhanced re-epithelialization by downregulating interleukin-6 and CD68 and upregulating vascular endothelial growth factor. The results indicated that this hydrogel has great potential in wound healing and skin tissue engineering and serves as an inspiration for the design of supramolecular biomaterials.

关键词： supramolecular hydrogel self-healing tissue adhesion joint wound

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Bioinspired Injectable Self-Healing Hydrogel Sealant with Fault-Tolerant and Repeated Thermo-Responsive Adhesion for Sutureless Post-Wound-Closure and Wound Healing

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Nano-Micro Letters 2022年第11期14卷 256-274页

作者： Yuqing liang Huiru Xu Zhenlong Li Aodi Zhangji Baolin Guo State Key Laboratory for Mechanical Behavior of Materials and Frontier Institute of Science and TechnologyXi’an Jiaotong UniversityXi’an 710049People’s Republic of China Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research College of StomatologyXi’an Jiaotong UniversityXi’an 710049People’s Republic of China

Hydrogels with multifunctionalities,including sufficient bonding strength,injectability and self-healing capacity,responsive-adhesive ability,fault-tolerant and repeated tissue adhesion,are urgently demanded for invasive wound closure and wound healing.Motivated by the adhesive mechanism of mussel and brown algae,bioinspired dynamic bonds cross-linked multifunctional hydrogel adhesive is designed based on sodium alginate(SA),gelatin(GT)and protocatechualdehyde,with ferric ions added,for sutureless post-wound-closure.The dynamic hydrogel cross-linked through Schiff base bond,catechol-Fe coordinate bond and the strong interaction between GT with temperature-dependent phase transition and SA,endows the resulting hydrogel with sufficient mechanical and adhesive strength for efficient wound closure,injectability and self-healing capacity,and repeated closure of reopened wounds.Moreover,the temperature-dependent adhesive properties endowed mispositioning hydrogel to be removed/repositioned,which is conducive for the fault-tolerant adhesion of the hydrogel adhesives during surgery.Besides,the hydrogels present good biocompatibility,near-infrared-assisted photothermal antibacterial activity,antioxidation and repeated thermo-responsive reversible adhesion and good hemostatic effect.The in vivo incision closure evaluation demonstrated their capability to promote the post-wound-closure and wound healing of the incisions,indicating that the developed reversible adhesive hydrogel dressing could serve as versatile tissue sealant.

关键词： Bioinspired injectable hydrogel Tissue sealant Temperature-dependent adhesion Reversible adhesion Wound healing

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A GIS-based analytical framework for evaluating the effect of COVID-19 on the restaurant industry with big data

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Big Earth Data 2023年第1期7卷 37-58页

作者： Siqin Wang Ruomei Wang Xiao Huang Zhenlong Li Shuming Bao School of Earth and Environmental Sciences University of QueenslandBrisbaneQueenslandAustralia Graduate School of Interdisciplinary Information Studies University of TokyoTokyoJapan Department of Geosciences University of ArkansasAnn ArborMichiganUSA Geoinformation and Big Data Research Laboratory Department of GeographyUniversity of South CarolinaSouth CarolinaUSA China Data Institute MichiganUSA

COVID-19 cripples the restaurant industry as a crucial socioeconomic sector that contributes immensely to the global economy.However,what the current literature less explored is to quantify the effect of COVID-19 on restaurant visitation and revenue at different spatial scales,as well as its relationship with the neighborhood character-istics of customers’origins.Based on the Point of Interest(POI)measures derived from SafeGraph data providing mobility records of 45 million cell phone users in the US,our study takes Lower Manhattan,New York City,as the pilot study,and aims to examine 1)the change of restaurant visitations and revenue in the period prior to and after the COVID-19 outbreak,2)the areas where restaurant customers live,and 3)the association between the neighborhood characteristics of these areas and lost customers.By doing so,we provide a geographic information system-based analytical frame-work integrating the big data mining,web crawling techniques,and spatial-economic modelling.Our analytical framework can be implemented to estimate the broader effect of COVID-19 on other industries and can be augmented in a financially monitoring manner in response to future pandemics or public emergencies.

关键词： COVID-19 pandemic effect restaurant visitation human mobility New York City

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Using geospatial social media data for infectious disease studies: a systematic review

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International Journal of Digital Earth 2023年第1期16卷 130-157页

作者： Fengrui Jing Zhenlong Li Shan Qiao Jiajia Zhang Banky Olatosi Xiaoming li Geoinformation and Big Data Research Laboratory Department of GeographyUniversity of South CarolinaColumbiaSCUSA Big Data Health Science Center University of South CarolinaColumbiaSCUSA Department of Health Promotion Educationand BehaviorArnold School of Public HealthUniversity of South CarolinaColumbiaSCUSA Department of Epidemiology and Biostatistics Arnold School of Public HealthUniversity of South CarolinaColumbiaSCUSA Department of Health Services Policy and Management Arnold School of Public HealthUniversity of South CarolinaColumbiaSCUSA

Geospatial social media(GSM)data has been increasingly used in public health due to its rich,timely,and accessible spatial information,particularly in infectious disease research.This review synthesized 86 research articles that use GSM data in infectious diseases published between December 2013 and March 2022.These articles cover 12 infectious disease types ranging from respiratory infectious diseases to sexually transmitted diseases with spatial levels varying from the neighborhood,county,state,and country.We categorized these studies into three major infectious disease research domains:surveillance,explanation,and prediction.With the assistance of advanced computing,statistical and spatial methods,GSM data has been widely and deeply applied to these domains,particularly in surveillance and explanation domains.We further identified four knowledge gaps in terms of contextual information use,application scopes,spatiotemporal dimension,and data limitations and proposed innovation opportunities for future research.Ourfindings will contribute to a better understanding of using GSM data in infectious diseases studies and provide insights into strategies for using GSM data more effectively in future research.

关键词： Public health social media infectious diseases geography spatial analysis

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Discovery of unusual phloroglucinol–triterpenoid adducts from Leptospermum scoparium and Xanthostemon chrysanthus by building blocks-based molecular networking

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Chinese Chemical Letters 2024年第6期35卷 379-383页

作者： Jinyan Zhang Fen liu Qian Jin Xueyi li Qiong Zhan Mu Chen Sisi Wang zhenlong Wu Wencai Ye Lei Wang State Key Laboratory of Bioactive Molecules and Druggability Assessment Jinan University Center for Bioactive Natural Molecules and Innovative Drugs and Guangdong Province Key Laboratory of Pharmacodynamic Constituents of TCM and New Drugs Research Jinan University College of Pharmacy Jinan University

The first phloroglucinol-triterpenoid hybrids, myrtphlotritins A–E(1–5), were rapidly recognized and isolated from two species of Myrtaceae by employing the building blocks-based molecular network(BBMN)strategy. Compounds 1–5 featured new carbon skeletons in which phloroglucinol derivatives were coupled with lupane-and dammarane-type triterpenoids through different linkage patterns. Their structures and absolute configurations were elucidated by comprehensive analysis of spectroscopic data and quantum chemical calculations. Biosynthetic pathways for compounds 1–5 were proposed on the basis of the coexisting precursors. Guided by the biogenetic pathways, the biomimetic synthesis of compound 1 was also achieved. Additionally, compounds 2, 3, and 5 exhibited potent antiviral activities against herpes simplex virus type-1(HSV-1) infection, and compounds 2 and 5 displayed significant anti-inflammatory activities on RAW264.7 cells.

关键词： Anti-inflammatory activity Antiviral activity Biomimetic synthesis Building blocks-based molecular network Myrtaceae Phloroglucinol-triterpenoid adduct

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A geospatial hybrid cloud platform based on multi-sourced computing and model resources for geosciences

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International Journal of Digital Earth 2018年第12期11卷 1184-1204页

作者： Qunying Huang Jing li Zhenlong Li Department of Geography University of Wisconsin–MadisonMadisonWIUSA Department of Geography and the Environment University of DenverDenverCOUSA Department of Geography University of South CarolinaColumbiaSCUSA

Cloud computing has been considered as the next-generation computing platform with the potential to address the data and computing challenges in geosciences.However,only a limited number of geoscientists have been adapting this platform for their scientific research mainly due to two barriers:1)selecting an appropriate cloud platform for a specific application could be challenging,as various cloud services are available and 2)existing general cloud platforms are not designed to support geoscience applications,algorithms and models.To tackle such barriers,this research aims to design a hybrid cloud computing(HCC)platform that can utilize and integrate the computing resources across different organizations to build a unified geospatial cloud computing platform.This platform can manage different types of underlying cloud infrastructure(e.g.,private or public clouds),and enables geoscientists to test and leverage the cloud capabilities through a web interface.Additionally,the platform also provides different geospatial cloud services,such as workflow as a service,on the top of common cloud services(e.g.,infrastructure as a service)provided by general cloud platforms.Therefore,geoscientists can easily create a model workflow by recruiting the needed models for a geospatial application or task on the fly.A HCC prototype is developed and dust storm simulation is used to demonstrate the capability and feasibility of such platform in facilitating geosciences by leveraging across-organization computing and model resources.

关键词： Cloud computing Big Data geospatial cloud services workflow as a service(WaaS) geoprocessing as a service(GaaS) model as a service(MaaS) high-performance computing parallel computing

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A general-purpose framework for parallel processing of large-scale liDAR data

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International Journal of Digital Earth 2018年第1期11卷 26-47页

作者： Zhenlong Li Michael E.Hodgson Wenwen li Department of Geography University of South CarolinaColumbiaSCUSA School of Geographical Sciences and Urban Planning Arizona State UniversityTempeAZUSA

light detection and ranging(liDAR)data are essential for scientific discoveries such as Earth and ecological sciences,environmental applications,and responding to natural disasters.While collecting liDAR data over large areas is quite possible the subsequent processing steps typically involve large computational demands.Efficiently storing,managing,and processing liDAR data are the prerequisite steps for enabling these liDAR-based applications.However,handling liDAR data poses grand geoprocessing challenges due to data and computational intensity.To tackle such challenges,we developed a general-purpose scalable framework coupled with a sophisticated data decomposition and parallelization strategy to efficiently handle‘big’liDAR data collections.The contributions of this research were(1)a tile-based spatial index to manage big liDAR data in the scalable and fault-tolerable Hadoop distributed file system,(2)two spatial decomposition techniques to enable efficient parallelization of different types of liDAR processing tasks,and(3)by coupling existing liDAR processing tools with Hadoop,a variety of liDAR data processing tasks can be conducted in parallel in a highly scalable distributed computing environment using an online geoprocessing application.A proof-of-concept prototype is presented here to demonstrate the feasibility,performance,and scalability of the proposed framework.

关键词： Big data online geoprocessing Hadoop MapReduce spatial decomposition LAStools parallel

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