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Tailoring bioinks of extrusion-based bioprinting for cutaneous wound healing

Bioactive Materials 2022年第11期7卷 178-194页

作者： Yuzhen Wang Xingyu Yuan Bin Yao Shuoji zhu Ping zhu sha Huang Guangdong Cardiovascular Institute Guangdong Provincial People’s HospitalGuangdong Academy of Medical Sciences106 Zhongshan Er RoadGuangzhouGuangdong510080PR China Research Center for Tissue Repair and Regeneration Affiliated to the Medical Innovation Research Department Chinese PLA General Hospital28 Fu Xing RoadBeijing100853PR China PLA Key Laboratory of Tissue Repair and Regenerative Medicine and Beijing Key Research Laboratory of Skin Injury Repair and RegenerationChinese PLA General Hospital and PLA Medical College51 Fu Cheng RoadBeijing100048PR China Department of Burn and Plastic Surgery Air Force Hospital of Chinese PLA Central Theater Command589 Yunzhong RoadPingcheng DistrictDatongShanxi037006PR China School of Medicine Nankai University94 Wei Jing RoadTianjin300071PR China Academy of Medical Engineering and Translational Medicine Tianjin University300072PR China

Extrusion-based bioprinting (EBB) holds potential for regenerative medicine. However, the widely-used bioinks of EBB exhibit some limitations for skin regeneration, such as unsatisfactory bio-physical (i.e., mechanical, structural, biodegradable) properties and compromised cellular compatibilities, and the EBB-based bioinks with therapeutic effects targeting cutaneous wounds still remain largely undiscussed. In this review, the printability considerations for skin bioprinting were discussed. Then, current strategies for improving the physical properties of bioinks and for reinforcing bioinks in EBB approaches were introduced, respectively. Notably, we highlighted the applications and effects of current EBB-based bioinks on wound healing, wound scar formation, vasculari-zation and the regeneration of skin appendages (i.e., sweat glands and hair follicles) and discussed the challenges and future perspectives. This review aims to provide an overall view of the applications, challenges and promising solutions about the EBB-based bioinks for cutaneous wound healing and skin regeneration.

关键词： Bioink Extrusion-based bioprinting Cutaneous wound healing Skin regeneration

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The immune landscape and prognostic immune key genes potentially involved in modulating synaptic functions in prostate cancer

The immune landscape and prognostic immune key genes potenti...

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第十四届全国免疫学学术大会

作者： Sha Zhu Xu Han School of Basic Medical Sciences Zhengzhou University

Background:Increasing evidence has indicated an association between differentially expressed genes(DEGs) in tumor infiltrating immune cells and clinical outcome.The aim of this research is to investigate the influence of tumor microenvironment on gene expression profile of tumor infiltrating immune cells(TIICs) and to identify their potential markers for modulating immune cell function in prostate cancer.Methods:In our research,CIBERSORT algorithm was utilized to calculate the proportion of the TIICs in 182 cases from the TCGA cohort.The differential expression analysis was conducted using R,and then the functional and pathway enrichment of the DEGs were analyzed using Database for Annotation,Visualization and Integrated Discovery database,followed by integrated regulatory network analysis.Results:As a result,nTreg,B cells,Th1 and DC cells were significantly increased,accompanied by largely decreased of NK and NKT cells.Expressed immune-related gene correlation analysis showed that the signature gene expression extent of CD8 T cells were positively associated with CD4 memory activated T cells,but negatively correlated with that of CD4 memory resting T cells.In addition,a total of 128 differentially expressed genes were identified.CytoHubba analysis obtained six hub genes,of which three prognostic-associated potential checkpoints molecules including CAV1,FLNA,and VCL were mainly involved in biological processes associated with regulation of organic substance and synaptic connections.Conclusions:This study provides a comprehensive understanding of the landscape of TIICs and roles of the hub genes which may be valuable markers in PCa diagnosis and immunotherapy.

关键词： Tumor infiltrating immune cells Immune landscape Prostate cancer Immunological synapse Prognostic

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Logistic Weighted Profile-Based Bi-Random Walk for Exploring MiRNA-Disease Associations

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Journal of Computer Science & Technology 2021年第2期36卷 276-287页

作者： Ling-Yun Dai Jin-Xing Liu Rong zhu Juan Wang sha-sha Yuan School of Computer Science Qufu Normal UniversityRizhao 276826China

MicroRNAs(miRNAs)exert an enormous influence on cell differentiation,biological development and the onset of diseases.Because predicting potential miRNA-disease associations(MDAs)by biological experiments usually requires considerable time and money,a growing number of researchers are working on developing computational methods to predict MDAs.High accuracy is critical for prediction.To date,many algorithms have been proposed to infer novel MDAs.However,they may still have some drawbacks.In this paper,a logistic weighted profile-based bi-random walk method(LWBRW)is designed to infer potential MDAs based on known MDAs.In this method,three networks(i.e.,a miRNA functional similarity network,a disease semantic similarity network and a known MDA network)are constructed first.In the process of building the miRNA network and the disease network,Gaussian interaction profile(GIP)kernel is computed to increase the kernel similarities,and the logistic function is used to extract valuable information and protect known MDAs.Next,the known MDA matrix is preprocessed by the weighted K-nearest known neighbours(WKNKN)method to reduce the number of false negatives.Then,the LWBRW method is applied to infer novel MDAs by bi-randomly walking on the miRNA network and the disease network.Finally,the predictive ability of the LWBRW method is confirmed by the average AUC of 0.9393(0.0061)in 5-fold cross-validation(CV)and the AUC value of 0.9763 in leave-one-out cross-validation(LOOCV).In addition,case studies also show the outstanding ability of the LWBRW method to explore potential MDAs.

关键词： miRNA-disease association logistic function Gaussian interaction profile weighted K-nearest known neighbour bi-random walk

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Generation of hyperentangled state encoded in three degrees of freedom

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中国科学:物理学、力学、天文学英文版 2023年第10期66卷 10-21页

作者： Peng Zhao Meng-Ying Yang Sha Zhu Lan Zhou Wei Zhong Ming-Ming Du Yu-Bo Sheng College of Electronic and Optical Engineering&College of Flexible Electronics(Future Technology) Nanjing University of Posts and TelecommunicationsNanjing 210023China Institute of Quantum Information and Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China College of Science Nanjing University of Posts and TelecommunicationsNanjing 210023China

Hyperentanglement, the simultaneous entanglement in more than one degree of freedom(DOF), plays an important role in quantum communication and quantum information processing for it can effectively increase the channel capacity. Existing hyperentanglement sources mainly focus on the generation of the hyperentanglement in two DOFs. In this paper, we design the generation protocols for three kinds of hyperentanglement encoded in three DOFs with the practical coherent pulses sources, including the polarization-frequency-space hyperentanglement, the polarization-frequency-time-bin hyperentanglement, and the polarizationspace-time-bin hyperentanglement. These protocols exploit the spontaneous parametric down-conversion(SPDC) process and the Sagnac interferometer. The three protocols are all based on feasible experimental condition and may have potential applications in future hyperentanglement-based quantum communication and quantum information processing protocols.

关键词： hyperentanglement generation Sagnac interferometer spontaneous parametric down-conversion

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Synergistic activity of insulin combined with glucose on Toxoplasma gondii proliferation in Vero cells

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Chinese Medical Journal 2021年第22期134卷 2762-2764页

作者： He Zhang Ying Lin Jin Wang Ren-Guang Lyu Fan-Jing Meng Sha Zhu Department of Immunology School of Basic Medical SciencesZhengzhou UniversityZhengzhouHenan 450001China Department of Pathology Affiliated Cancer Hospital of Zhengzhou UniversityZhengzhou UniversityZhengzhouHenan 450008China

To the Editor:Toxoplasma gondii is a widespread apicomplexan parasite and can infect virtually all warm-blooded vertebrates.[1]Between 22%and 84%of the population in both developed and developing countries is chronically infected with T.gondii.Due to the ethical issues of using animal models for in vivo culture,cell culture systems have been used.Production of T.gondii tachyzoites in vitro is essential for Toxoplasma inves-tigations.It is of great significance to explore the culture conditions of T.gondii in vitro for the in-depth study of the metabolism mechanisms of eukaryotes.

关键词： virtually culture metabolism

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High thermoelectric performance at room temperature of n-type Mg_(3)Bi_(2)-based materials by Se doping

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Journal of Magnesium and Alloys 2022年第4期10卷 1024-1032页

作者： Xiaobo Mo Jiansong Liao Guocai Yuan Sha Zhu Xiaobo Lei Lihong Huang Qinyong Zhang Chao Wang Zhifeng Ren Key Laboratory of Fluid and Power Machinery of Ministry of Education School of Materials Science&EngineeringXihua UniversityChengdu 610039China Clean Energy Materials and Engineering Center State Key Laboratory of Electronic Thin Film and Integrated DeviceSchool of Electronic Science and EngineeringUniversity of Electronic Science and Technology of ChinaChengdu 611731China Department of Physics and TcSUH University of HoustonHoustonTX 77204United States

Bi_(2)Te_(3) based alloys have been the most widely used thermoelectric material at low temperature for many decades.Here we report Se doped n-type Mg_(3)Bi_(2) based materials with a thermoelectric figure-of-merit ZT of 0.82 at 300 K and a peak ZT of 1.24 at 498 K,which is comparable to the n-type Bi_(2)Te_(3) and Te doped Mg_(3)Bi_(1.4)Sb_(0.6).The improved thermoelectric performance is benefited from the high carrier concentration and mobility as well as the thermal conductivity reduction.The reduced resistivity increased the power factor at all measured temperatures,leading to a higher engineering ZT(ZTeng)and engineering power factor(PFeng)for n-type Mg_(3)Bi_(2).The n-type Mg_(3)Bi_(1.4)Sb_(0.6) materials are promising for thermoelectric power generation and cooling applications near room temperature.

关键词： Mg_(3)Bi_(2) Zintl compound Thermoelectric Se-doping

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Towards a new avenue for rapid synthesis of electrocatalytic electrodes via laser-induced hydrothermal reaction for water splitting

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International Journal of Extreme Manufacturing 2024年第1期6卷 340-351页

作者： Yang sha Menghui zhu Kun Huang Yang Zhang Francis Moissinac Zhizhou Zhang Dongxu Cheng Paul Mativenga zhu Liu Department of Materials School of Natural SciencesThe University of ManchesterOxford RoadManchester M139PLUnited Kingdom Laser Processing Research Centre Department of MechanicalAerospace and Civil EngineeringSchool of EngineeringThe University of ManchesterOxford RoadManchester M139PLUnited Kingdom National Graphene Institute The University of ManchesterOxford RoadManchester M139PLUnited Kingdom Department of Chemical Engineering and Analytical Science School of EngineeringThe University of ManchesterOxford RoadManchester M139PLUnited Kingdom Research Centre for Laser Extreme Manufacturing Ningbo Institute of Materials Engineering and TechnologyChinese Academy of SciencesNingboPeople’s Republic of China

Electrochemical production of hydrogen from water requires the development ofelectrocatalysts that are active,stable,and low-cost for water splitting.To address these challenges,researchers are increasingly exploring binder-free electrocatalytic integratedelectrodes (IEs) as an alternative to conventional powder-based electrode preparation methods,for the former is highly desirable to improve the catalytic activity and long-term stability for large-scale applications of electrocatalysts.Herein,we demonstrate a laser-inducedhydrothermal reaction (LIHR) technique to grow NiMoO4nanosheets on nickel foam,which is then calcined under H2/Ar mixed gases to prepare the IE IE-NiMo-LR.This electrode exhibits superior hydrogen evolution reaction performance,requiring overpotentials of 59,116 and143 mV to achieve current densities of 100,500 and 1000 mA·cm-2.During the 350 h chronopotentiometry test at current densities of 100 and 500 m A·cm-2,the overpotentialremains essentially unchanged.In addition,NiFe-layered double hydroxide grown on Ni foam is also fabricated with the same LIHR method and coupled with IE-NiMo-IR to achieve water splitting.This combination exhibits excellent durability under industrial current density.The energy consumption and production efficiency of the LIHR method are systematicallycompared with the conventional hydrothermal method.The LIHR method significantly improves the production rate by over 19 times,while consuming only 27.78%of the total energy required by conventional hydrothermal methods to achieve the same production.

关键词： electrocatalytic electrode laser-induced hydrothermal reaction NiFe layered double hydroxides hydrogen evolution reaction water splitting energy consumption production rate

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Enhanced cobalamin biosynthesis in Ensifer adhaerens by regulation of key genes with gradient promoters

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Synthetic and Systems Biotechnology 2022年第3期7卷 941-948页

作者： sha Xu Zhiqiang Xiao Shiqin Yu Weizhu Zeng Yongming zhu Jingwen Zhou National Engineering Laboratory for Cereal Fermentation Technology Jiangnan University1800 Lihu RoadWuxiJiangsu214122China School of Biotechnology and Key Laboratory of Industrial Biotechnology Ministry of EducationJiangnan University1800 Lihu RoadWuxiJiangsu214122China Science Center for Future Foods Jiangnan University1800 Lihu RoadWuxiJiangsu214122China Jiangsu Provisional Research Center for Bioactive Product Processing Technology Jiangnan University1800 Lihu RoadWuxiJiangsu214122China Hunan Hongying Biotechnology Co.Ltd. 10 Hongying RoadJinshiHunan415400China

Cobalamin is an essential human vitamin widely used in the pharmaceutical,food,and feed additive industries and currently produced by bacteria or archaea.Ensifer adhaerens HY-1 is an industrial strain that also produces cobalamin.However production outputs are poor and the specific synthesis pathways require characterization.In this study,the whole genome sequence of E.adhaerens HY-1 was generated and annotated,and genes associated with cobalamin biosynthesis were identified.Then,three genes,CobSV,CobQ,and CobW were identified as the most efficient ones for enhancing cobalamin synthesis.By transcriptome sequencing of E.adhaerens HY-1 cells at different growth stages,65 endogenous promoters with different gradient strengths were identified.After combined expression of different strength promoters and key genes,a high cobalamin-producing recombinant strain,‘hmm’(genotype:PmetH-CobSV-PibpA-CobQ-Pmdh-CobW),was generated.Cobalamin production was 143.8 mg/L in shaking flasks,which was 41.0%higher than the original strain.Cobalamin production was further enhanced to 171.2 mg/L using fed-batch fermentation.Importantly,our data and novel approach provide important references for the analysis of cobalamin synthesis and other metabolites in complex metabolic pathways.

关键词： Ensifer adhaerens Cobalamin Genome sequence Transcriptome sequence Promoter Overexpression Combinations

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Secure Transmission in Satellite-UAV Integrated System Against Eavesdropping and Jamming:A Two-Level Stackelberg Game Model

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China Communications 2022年第7期19卷 53-66页

作者： Chengjian Liao Kui Xu Hongpeng zhu Xiaochen Xia Qiao Su Nan sha Army Engineering University of PLA Nanjing 210007China

Aiming at the physical layer security(PLS)secure transmission existing in the information backhaul link of the satellite-UAV integrated(SUI)network,a two-layer Stackelberg game model(TSGM)that can resist full-duplex(FD)eavesdropping and jamming attacks is proposed.The confrontation relationship between the UAV network and the attacker is established as the first layer Stackelberg game.The source UAV adjusts its own transmission power strategy according to the attacker’s jamming strategy to resist malicious jamming attacks.The internal competition and cooperation relationship in UAV network is modeled as the second layer Stackelberg game,and the optimal cooperative UAV transmits jamming signal to the attacker to resist malicious eavesdropping attacks.Aiming at the“selfishness”of UAV nodes,a price incentive mechanism is established to encourage UAV to actively participate in cooperation,so as to maximize the advantages of cooperative communication.For the proposed TSGM,we construct the utility function and analyze the closed equilibrium solution of the game model,and design a three-stage optimal response iterative(TORI)algorithm to solve the game equilibrium.The simulation results show that the proposed TSGM can effectively increase the utility of the source UAV and improve the enthusiasm of cooperation compared with other power control models.

关键词： physical layer security secure transmission satellite-UAV system Stackelberg game

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Decentralized Heterogeneous Federal Distillation Learning Based on Blockchain

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Computers, Materials & Continua 2023年第9期76卷 3363-3377页

作者： Hong zhu Lisha Gao Yitian sha Nan Xiang Yue Wu Shuo Han Nanjing Power Supply Branch State Grid Jiangsu Electric Power Co.Ltd.Nanjing210000China

Load forecasting is a crucial aspect of intelligent Virtual Power Plant(VPP)management and ameans of balancing the relationship between distributed power grids and traditional power grids.However,due to the continuous emergence of power consumption peaks,the power supply quality of the power grid cannot be guaranteed.Therefore,an intelligent calculation method is required to effectively predict the load,enabling better power grid dispatching and ensuring the stable operation of the power grid.This paper proposes a decentralized heterogeneous federated distillation learning algorithm(DHFDL)to promote trusted federated learning(FL)between different federates in the blockchain.The algorithm comprises two stages:common knowledge accumulation and personalized training.In the first stage,each federate on the blockchain is treated as ameta-distribution.After aggregating the knowledge of each federate circularly,the model is uploaded to the blockchain.In the second stage,other federates on the blockchain download the trained model for personalized training,both of which are based on knowledge distillation.Experimental results demonstrate that the DHFDL algorithmproposed in this paper can resist a higher proportion of malicious code compared to FedAvg and a Blockchain-based Federated Learning framework with Committee consensus(BFLC).Additionally,by combining asynchronous consensus with the FL model training process,the DHFDL training time is the shortest,and the training efficiency of decentralized FL is improved.

关键词： Load forecasting blockchain distillation learning federated learning DHFDL algorithm

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