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Research progress and challenges in stem cell therapy for diabetic foot: Bibliometric analysis and perspectives

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World Journal of Stem Cells 2024年第1期16卷 33-53页

作者： Hong-Shuo Shi xin yuan Fang-Fang Wu Xiao-Yu Li Wei-Jing Fan Xiao Yang Xiao-Ming Hu Guo-Bin Liu Department of Peripheral Vascular Surgery Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese MedicineShanghai 250021China

BACKGROUND Stem cell therapy has shown great potential for treating diabetic foot(DF).AIM To conduct a bibliometric analysis of studies on the use of stem cell therapy for DF over the past two decades,with the aim of depicting the current global research landscape,identifying the most influential research hotspots,and providing insights for future research directions.METHODS We searched the Web of Science Core Collection database for all relevant studies on the use of stem cell therapy in DF.Bibliometric analysis was carried out using CiteSpace,VOSviewer,and R(4.3.1)to identify the most notable studies.RESULTS A search was conducted to identify publications related to the use of stem cells for DF treatment.A total of 542 articles published from 2000 to 2023 were identified.The United States had published the most papers on this subject.In this field,Iran’s Shahid Beheshti University Medical Sciences demonstrated the highest productivity.Furthermore,Dr.Bayat from the same university has been an outstanding researcher in this field.Stem Cell Research&Therapy is the journal with the highest number of publications in this field.The main keywords were“diabetic foot ulcers,”“wound healing,”and“angiogenesis.”CONCLUSION This study systematically illustrated the advances in the use of stem cell therapy to treat DF over the past 23 years.Current research findings suggested that the hotspots in this field include stem cell dressings,exosomes,wound healing,and adipose-derived stem cells.Future research should also focus on the clinical translation of stem cell therapies for DF.

关键词： Stem cells Diabetic foot Bibliometric CiteSpace VOSviewer R-bibliometrix

Visible-light-induced decarboxylative alkynylation of carboxylic acids in batch and continuous flow

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Green Synthesis and Catalysis

Green Synthesis and Catalysis 2024年第1期5卷 20-24页

作者： Longzhou Qin xinpeng Zhang Hao Sun Xiu Duan Jie Liu Mengyu Wu xin yuan Jiangkai Qiu Kai Guo College of Biotechnology and Pharmaceutical Engineering Nanjing Tech UniversityNanjing 211816China State Key Laboratory of Materials-Oriented Chemical Engineering Nanjing Tech UniversityNanjing 211816China

A green efficient photoredox-catalyzed decarboxylative alkynylation of carboxylic acids with alkynyl bromides has been developed.This broadly applicable protocol is presented whereinα-amino,aliphatic andα-oxy acids are converted into useful alkynylation products.The commercially-available organic photocatalyst 4CzIPN is used as the photocatalyst,organic base DBU is utilized as the base,and DMSO serves as solvent.This strategy features mild conditions,is metal-free,and is environmentally friendly.The batch and continuous-flow protocols described were applied to obtain a broader substrate scope of functionalization(more than 50 examples).Furthermore,we demonstrate that the use of microflow technology enhanced and intensified the reaction process,achieving significantly reduced reaction times(i.e.,10 min of residence time).

关键词： Visible-light-induced Decarboxylative alkynylation Continuous flow Metal-free

Loss of LBP triggers lipid metabolic disorder through H3K27 acetylation-mediated C/EBPβ-SCD activation in non-alcoholic fatty liver disease

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Zoological Research 2024年第1期45卷 79-94页

作者： Ya-Ling Zhu Lei-Lei Meng Jin-Hu Ma xin yuan Shu-Wen Chen xin-Rui Yi xin-Yu Li Yi Wang Yun-Shu Tang Min Xue Mei-Zi Zhu Jin Peng Xue-Jin Lu Jian-Zhen Huang Zi-Chen Song Chong Wu Ke-Zhong Zheng Qing-Qing Dai Fan Huang Hao-Shu Fang Department of Pathophysiology Anhui Medical UniversityHefeiAnhui 230032China Laboratory Animal Research Center School of Basic Medical SciencesAnhui Medical UniversityHefeiAnhui 230032China Department of Hepatobiliary Surgery First Affiliated Hospital of Anhui Medical UniversityHefeiAnhui 230022China College of Animal Science and Technology Jiangxi Agricultural UniversityNanchangJiangxi 330045China

Non-alcoholic fatty liver disease(NAFLD)is associated with mutations in lipopolysaccharide-binding protein(LBP),but the underlying epigenetic mechanisms remain understudied.Herein,LBP^(-/-)rats with NAFLD were established and used to conduct integrative targetingactive enhancer histone H3 lysine 27 acetylation(H3K27ac)chromatin immunoprecipitation coupled with high-throughput and transcriptomic sequencing analysis to explore the potential epigenetic pathomechanisms of active enhancers of NAFLD exacerbation upon LBP deficiency.Notably,LBP^(-/-)reduced the inflammatory response but markedly aggravated high-fat diet(HFD)-induced NAFLD in rats,with pronounced alterations in the histone acetylome and regulatory transcriptome.In total,1128 differential enhancer-target genes significantly enriched in cholesterol and fatty acid metabolism were identified between wild-type(WT)and LBP^(-/-)NAFLD rats.Based on integrative analysis,CCAAT/enhancer-binding proteinβ(C/EBPβ)was identified as a pivotal transcription factor(TF)and contributor to dysregulated histone acetylome H3K27ac,and the lipid metabolism gene SCD was identified as a downstream effector exacerbating NAFLD.This study not only broadens our understanding of the essential role of LBP in the pathogenesis of NAFLD from an epigenetics perspective but also identifies key TF C/EBPβand functional gene SCD as potential regulators and therapeutic targets.

关键词： Non-alcoholic fatty liver disease C/EBPβ Lipopolysaccharide-binding protein H3K27ac Integrative analysis Enhancer

SDGNN: Symmetry-Preserving Dual-Stream Graph Neural Networks

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IEEE/CAA Journal of Automatica Sinica 2024年第7期11卷 1717-1719页

作者： Jiufang Chen Ye yuan xin Luo the College of Computer Science and Technology Chongqing University of Posts and TelecommunicationsChongqing 400065 the Chongqing Key Laboratory of Big Data and Intelligent Computing Chongqing Institute of Green and Intelligent TechnologyChinese Academy of SciencesChongqing 400714China the College of Computer and Information Science Southwest UniversityChongqing 400715China IEEE

Dear Editor,This letter proposes a symmetry-preserving dual-stream graph neural network(SDGNN) for precise representation learning to an undirected weighted graph(UWG). Although existing graph neural networks(GNNs) are influential instruments for representation learning to a UWG, they invariably adopt a unique node feature matrix for illustrating the sole node set of a UWG.

关键词： representation preserving undirected

Numerical Analysis of Heat Transfer Characteristics to Supercritical CO_(2) in a Vertical Mini-Channel:Transition and Pseudo-Boiling

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Journal of Thermal Science 2024年第1期33卷 101-113页

作者： yuan Baoqiang WANG Wei xin Gongming DU Wenjing School of Energy and Power Engineering Shandong UniversityJi'nan 250061China

Large eddy simulations have been conducted to study upward transitional flows and heat transfer characteristics of supercritical CO_(2) in a vertical mini-channel.The numerical simulation was carried out on a modified buoyantPimpleFOAM solver in OpenFOAM 7,and was verified using experiment data.Numerical results indicate that increasing the Grashof numbers can reduce the flow stability and make the flow transition earlier.There are four stages of heat transfer in the transition process,i.e.,weakened,improved,recovered and normal heat transfer.These heat transfer phenomena in the transition process were explained from three perspectives:thermal boundary layer theory,turbulent transport and pseudo-boiling theory.Heat transfer enhancement during transition is related to the transport of supercritical molecular clusters,and these molecular clusters are regarded as pseudo-bubbles in pseudo-boiling theory.The flow pattern of the pseudo-phases in the dia-Widom process contains single-phase flow,steady pseudo-film flow,unsteady pseudo-film flow,partial pseudo-bubbles flow and flocculent pseudo-film flow.Pseudo-bubbles have similar behaviors to subcritical bubbles,i.e.,break-up,deformation,condensation and coalescence.Relevant researches in this work are favorable for understanding the heat transfer mechanism of supercritical fluids during flow transition.

关键词： supercritical heat transfer large eddy simulation transition pseudo-boiling

Adaptive security control of time-varying constraints nonlinear cyber-physical systems with false data injection attacks

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Journal of Control and Decision 2024年第1期11卷 50-59页

作者： Yue-Ming Wang yuan-xin Li Department of Science Liaoning University of TechnologyJinzhouPeople’s Republic of China

In this article,an adaptive security control scheme is presented for cyber-physical systems(CPSs)suffering from false data injection(FDI)attacks and time-varying state constraints.Firstly,an adaptive bound estimation mechanism is introduced in the backstepping control design to mitigate the effect of FDI attacks.Secondly,to solve the unknown sign time-varying statefeedback gains aroused by the FDI attacks,a type of Nussbaum function is employed in the adaptive security control.Then,by constructing a barrier Lyapunov function,it can be ensured that all signals of controlled system are bounded and the time-varying state constraints are not transgressed.Finally,the provided simulation examples demonstrate the effectiveness of the proposed controller.

关键词： Neural networks backstepping technology false data injection(FDI)attacks nonlinear cyber-physical systems controls

Relationship among Parkinson’s disease, constipation, microbes, and microbiological therapy

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World Journal of Gastroenterology 2024年第3期30卷 225-237页

作者： xin-Yang yuan Yu-Sen Chen Zhou Liu Department of Neurology Affiliated Hospital of Guangdong Medical UniversityZhanjiang 524000Guangdong ProvinceChina Institute of Neurology Guangdong Key Laboratory of Age-Related Cardiac and Cerebral DiseasesZhanjiang 524000Guangdong ProvinceChina

This comprehensive review elucidates the complex interplay between gut microbiota and constipation in Parkinson’s disease(PD),a prevalent non-motor symptom contributing significantly to patients’morbidity.A marked alteration in the gut microbiota,predominantly an increase in the abundance of Proteobacteria and Bacteroidetes,is observed in PD-related constipation.Conventional treatments,although safe,have failed to effectively alleviate symptoms,thereby necessitating the development of novel therapeutic strategies.Microbiological interventions such as prebiotics,probiotics,and fecal microbiota transplantation(FMT)hold therapeutic potential.While prebiotics improve bowel movements,probiotics are effective in enhancing stool consistency and alleviating abdominal discomfort.FMT shows potential for significantly alleviating constipation symptoms by restoring gut microbiota balance in patients with PD.Despite promising developments,the causal relationship between changes in gut microbiota and PD-related constipation remains elusive,highlighting the need for further research in this expanding field.

关键词： Parkinson disease Constipation Gut microbiota Prebiotics Probiotics Fecal microbiota transplantation

Knowledge Graph Enhanced Transformers for Diagnosis Generation of Chinese Medicine

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Chinese Journal of Integrative Medicine 2024年第3期30卷 267-276页

作者： WANG xin-yu YANG Tao GAO Xiao-yuan HU Kong-fa School of Artificial Intelligence and Information Technology Nanjing University of Chinese MedicineNanjing210023China School of Information Management Nanjing UniversityNanjing210023China Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumor Nanjing210023China Jiangsu Province Engineering Research Center of TCM Intelligence Health Service Nanjing210023China

Chinese medicine(CM)diagnosis intellectualization is one of the hotspots in the research of CM modernization.The traditional CM intelligent diagnosis models transform the CM diagnosis issues into classification issues,however,it is difficult to solve the problems such as excessive or similar categories.With the development of natural language processing techniques,text generation technique has become increasingly mature.In this study,we aimed to establish the CM diagnosis generation model by transforming the CM diagnosis issues into text generation issues.The semantic context characteristic learning capacity was enhanced referring to Bidirectional Long Short-Term Memory(BILSTM)with Transformer as the backbone network.Meanwhile,the CM diagnosis generation model Knowledge Graph Enhanced Transformer(KGET)was established by introducing the knowledge in medical field to enhance the inferential capability.The KGET model was established based on 566 CM case texts,and was compared with the classic text generation models including Long Short-Term Memory sequence-to-sequence(LSTM-seq2seq),Bidirectional and Auto-Regression Transformer(BART),and Chinese Pre-trained Unbalanced Transformer(CPT),so as to analyze the model manifestations.Finally,the ablation experiments were performed to explore the influence of the optimized part on the KGET model.The results of Bilingual Evaluation Understudy(BLEU),Recall-Oriented Understudy for Gisting Evaluation 1(ROUGE1),ROUGE2 and Edit distance of KGET model were 45.85,73.93,54.59 and 7.12,respectively in this study.Compared with LSTM-seq2seq,BART and CPT models,the KGET model was higher in BLEU,ROUGE1 and ROUGE2 by 6.00–17.09,1.65–9.39 and 0.51–17.62,respectively,and lower in Edit distance by 0.47–3.21.The ablation experiment results revealed that introduction of BILSTM model and prior knowledge could significantly increase the model performance.Additionally,the manual assessment indicated that the CM diagnosis results of the KGET model used in this study were highly consistent with the p

关键词： Chinese medicine diagnosis knowledge graph enhanced transformer text generation

Lipid metabolism, amino acid metabolism, and prostate cancer: a crucial metabolic journey

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Asian Journal of Andrology 2024年第2期26卷 123-134页

作者： Lin Chen Yu-xin Xu yuan-Shuo Wang Jian-Liang Zhou School of Pharmacy Hangzhou Normal UniversityHangzhou 311121China Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province Hangzhou Normal UniversityHangzhou 311121China School of Pharmacy Guangxi Medical UniversityNanning530021China

Prostate cancer(PCa)is one of the most common malignancies in males worldwide,and its development and progression involve the regulation of multiple metabolic pathways.Alterations in lipid metabolism affect the proliferation and metastatic capabilities of PCa cells.Cancer cells increase lipid synthesis and regulate fatty acid oxidation to meet their growth and energy demands.Similarly,changes occur in amino acid metabolism in PCa.Cancer cells exhibit an increased demand for specific amino acids,and they regulate amino acid transport and metabolic pathways to fulfill their proliferation and survival requirements.These changes are closely associated with disease progression and treatment response in PCa cells.Therefore,a comprehensive investigation of the metabolic characteristics of PCa is expected to offer novel insights and approaches for the early diagnosis and treatment of this disease.

关键词： amino acid metabolism lipid metabolism metabolic pathways prostate cancer treatment strategies