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| 1 | Avoiding revascularization strategy versus revascularization with drug-coated balloon for the treatment of superficial femoral artery occlusive disease显示文摘Objective:The aim of this study was to compare the efficacy,safety and treatment costs of superficial femoral artery revascularization(SFA)with drug-coated balloon(DCB)versus avoiding revascularization strategy for the treatment of symptomatic SFA disease.Methods:This retrospective single-center study reviewed 96 patients(113 limbs)with severe stenosis and occlusive SFA disease.All patients underwent either DCB(Group 1:n=55 limbs)or nonrevascularization(Group2:n=58 limbs)between March 2015 and June 2019.The improvement of Rutherford class,walking impairment questionnaire score(WIQ),target limb reintervention,perioperative major adverse events,the catheterization laboratory cost and length of hospital stay were compared.The limb salvage and survival rates were calculated using the Kaplan-Meier method.Univariate and multivariate logistic regression analysis were performed to assess the association between factors and the improvement of Rutherford category at 12 months.Results:The median follow-up time of Groups 1 and 2 was 17 and 33 months,respectively.At 12 months,the Rutherford category significantly decreased in both groups(P<0.001),with no significant difference(79.7%vs.64.3%,P=0.074).Furthermore,multivariate analysis showed that the selected therapeutic method was not an influential factor for the improvement of Rutherford class at 12 months.The WIQ overall score as well as three subscales scores(distance,speed and stair-climbing),the survival rate,limb salvage rate and the length of stay between the two groups were comparable.The perioperative adverse events rate and catheterization laboratory cost in Group 2 was significantly lower compared to Group 1[(34253.69±28172.87)yuan vs.(56936.76±41278.36)yuan,P=0.001].Conclusions:This study suggests that avoiding superficial femoral artery revascularization strategy has favorable efficacy and safety outcomes compared to combining revascularization with DCB in selected patients. | Hongcheng Ren Jinman Zhuang Xuan Li Tianrun Li Jingyuan Luan Changming Wang | 2021 | Journal of Interventional Medicine2021，4，2： | 3 |
| 2 | 3D-printed dermis-specific extracellular matrix mitigates scar contraction via inducing early angiogenesis and macrophage M2 polarization显示文摘Scar contraction frequently happens in patients with deep burn injuries.Hitherto,porcine dermal extracellular matrix(dECM)has supplied microenvironments that assist in wound healing but fail to inhibit scar contraction.To overcome this drawback,we integrate dECM into three-dimensional(3D)-printed dermal analogues(PDA)to prevent scar contraction.We have developed thermally gelled,non-rheologically modified dECM powder(dECMp)inks and successfully transformed them into PDA that was endowed with a micron-scale spatial structure.The optimal crosslinked PDA exhibited desired structure,good mechanical properties as well as excellent biocompatibility.Moreover,in vivo experiments demonstrated that PDA could significantly reduced scar contraction and improved cosmetic upshots of split thickness skin grafts(STSG)than the commercially available dermal templates and STSG along.The PDA has also induced an early,intense neovascularization,and evoked a type-2-like immune response.PDA’s superior beneficial effects may attribute to their desired porous structure,the well-balanced physicochemical properties,and the preserved dermis-specific ECM cues,which collectively modulated the expression of genes such as Wnt11,ATF3,and IL1β,and influenced the crucial endogenous signalling pathways.The findings of this study suggest that PDA is a clinical translatable material that possess high potential in reducing scar contraction. | Lei Chen Zhiyong Li Yongtai Zheng Fei Zhou Jingling Zhao Qiyi Zhai Zhaoqiang Zhang Tianrun Liu Yongming Chen Shaohai Qi | 2022 | Bioactive Materials2022，7，4： | 3 |
| 3 | Roles of hydroxyl and oxygen vacancy of CeO_(2)·xH_(2)O in Pd-catalyzed ethanol electro-oxidation显示文摘In the field of noble metal-catalyzed alcohol electro-oxidation reaction(AOR),huge attention is paid on the composition,size,facet,and structure of the metals,while the support engineering should also be emphasized.CeO_(2)has been widely used as a unique support in AOR,primarily due to its abundant oxygen vacancies(O_(v)).Herein,we report CeO_(2)·xH_(2)O nanoparticles with both massive hydroxyl groups(OH)and O_(v)remarkably enhance the catalytic activity and stability of Pd toward ethanol oxidation reaction(EOR).The CO striping experiments and density functional theory(DFT)calculations suggest that OH and O_(v)on CeO_(2)·xH_(2)O surface bring about a large downshift of Pd d-band center and a significant weakening of CO absorption on Pd.Moreover,OH and O_(v)also play synergic roles in the removal of toxic intermediates.Consequently,the important roles of OH and O_(v)of CeO_(2)·xH_(2)O are confirmed in Pd-catalyzed EOR.The facile CeO_(2)·xH_(2)O-enhanced strategy can contribute to the catalyst design for other energy conversion reactions. | Zhenyu Li Jiefei Li Zexuan Zheng Kunhong Jiang Tianrun Zheng Dongmin Wang Hang Wei Zhiming Shi Xiaotian Li Haibin Chu | 2022 | Science China Chemistry2022，65，5： | 1 |
| 4 | Single-cell Transcriptomes Reveal Characteristics of MicroRNAs in Gene Expression Noise Reduction显示文摘Isogenic cells growing in identical environments show cell-to-cell variations because of the stochasticity in gene expression.High levels of variation or noise can disrupt robust gene expression and result in tremendous consequences for cell behaviors.In this work,we showed evidence from single-cell RNA sequencing data analysis that microRNAs(miRNAs)can reduce gene expression noise at the mRNA level in mouse cells.We identified that the miRNA expression level,number of targets,target pool abundance,and miRNA-target interaction strength are the key features contributing to noise repression.miRNAs tend to work together in cooperative subnetworks to repress target noise synergistically in a cell type-specific manner.By building a physical model of post-transcriptional regulation and observing in synthetic gene circuits,we demonstrated that accelerated degradation with elevated transcriptional activation of the miRNA target provides resistance to extrinsic fluctuations.Together,through the integrated analysis of single-cell RNA and miRNA expression profiles,we demonstrated that miRNAs are important post-transcriptional regulators for reducing gene expression noise and conferring robustness to biological processes. | Tao Hu Lei Wei Shuailin Li Tianrun Cheng Xuegong Zhang Xiaowo Wang | 2021 | Genomics, Proteomics & Bioinformatics2021，19，3： | 1 |
| 5 | Regulation by competition:a hidden layer of gene regulatory network显示文摘Background:Molecular competition brings about trade-offs of shared limited resources among the cellular components,and thus introduces a hidden layer of regulatory mechanism by connecting components even without direct physical interactions.Several molecular competition scenarios have been observed recently,but there is still a lack of systematic quantitative understanding to reveal the essence of molecular competition.Methods:Here,by abstracting the analogous competition mechanism behind diverse molecular systems,we built a unified coarse-grained competition motif model to systematically integrate experimental evidences in these processes and analyzed general properties shared behind them from steady-state behavior to dynamic responses.Results:We could predict in what molecular environments competition would reveal threshold behavior or display a negative linear dependence.We quantified how competition can shape regulator-target dose-response curve,modulate dynamic response speed,control target expression noise,and introduce correlated fluctuations between targets.Conclusions:This work uncovered the complexity and generality of molecular competition effect as a hidden layer of gene regulatory network,and therefore provided a unified insight and a theoretical framework to understand and employ competition in both natural and synthetic systems. | Lei Wei Ye Yuan Tao Hu Shuailin Li Tianrun Cheng Jinzhi Lei Zhen Xie Michael Q.Zhang Xiaowo Wang | 2019 | Frontiers of Electrical and Electronic Engineering in China2019，7，2： | 1 |
| 6 | Deep3DSketch-im:rapid high-fidelity AI 3D model generation by single freehand sketches显示文摘The rise of artificial intelligence generated content(AIGC)has been remarkable in the language and image fields,but artificial intelligence(AI)generated three-dimensional(3D)models are still under-explored due to their complex nature and lack of training data.The conventional approach of creating 3D content through computer-aided design(CAD)is labor-intensive and requires expertise,making it challenging for novice users.To address this issue,we propose a sketch-based 3D modeling approach,Deep3DSketch-im,which uses a single freehand sketch for modeling.This is a challenging task due to the sparsity and ambiguity.Deep3DSketch-im uses a novel data representation called the signed distance field(SDF)to improve the sketch-to-3D model process by incorporating an implicit continuous field instead of voxel or points,and a specially designed neural network that can capture point and local features.Extensive experiments are conducted to demonstrate the effectiveness of the approach,achieving state-of-the-art(SOTA)performance on both synthetic and real datasets.Additionally,users show more satisfaction with results generated by Deep3DSketch-im,as reported in a user study.We believe that Deep3DSketch-im has the potential to revolutionize the process of 3D modeling by providing an intuitive and easy-to-use solution for novice users. | Tianrun CHEN Runlong CAO Zejian LI Ying ZANG Lingyun SUN | 2024 | Frontiers of Information Technology & Electronic Engineering2024，25，1： | 0 |
| 7 | Single-cell Metabolomics Analysis by Microfluidics and Mass Spectrometry: Recent New Advances显示文摘Metabolomics at the single-cell level can analyze cellular metabolites,study the phenotypic variations in individual cells and reveal phenomena and mechanisms that cannot be observed by analyzing large number of cells.It also provides an efficient way to study the dynamically changing metabolites and intermediates in single living cells.Microfluidics enables high-throughput analysis of single cells without disturbing cell metabolism as much as possible.Mass spectrometry is a promising tool for single-cell metabolomics and its innovation provides rich information of metabolites for single-cell analysis.In this mini-review,the recent new advances of single-cell metabolomics based on microfluidics and mass spectrometry in last five years are reviewed and prospected. | Disheng Feng Tianrun Xu Hang Li Xianzhe Shi Guowang Xu | 2020 | Journal of Analysis and Testing2020，4，3： | 0 |
| 8 | Dielectric evidence for possible type-Ⅱmultiferroicity in α-RuCl3显示文摘The Kitaev model in a honeycomb lattice,which has an exactly solvable spin liquid as the ground state[1],has attracted a lot of research interests.Recently,Kitaev-type interactions were discovered in several quasi-2D,honeycomb lattice compounds,such as A_2IrO_3(A=Li,Na)[2-7]and α-RuCl_3[8-15].In these compounds,both the spin-orbit coupling and electron correlations play an essential role in the emergent Mott insulator behaviors[2,16-19].Although | JiaCheng Zheng Yi Cui TianRun Li KeJing Ran JinSheng Wen WeiQiang Yu | 2018 | Science China(Physics,Mechanics & Astronomy)2018，61，5： | 0 |
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