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Dissecting Causal Relationships Between Plasma Metabolites and Osteoporosis:A Bidirectional Mendelian Randomization Study

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Chinese Medical Sciences Journal 2024年第3期39卷 185-192页

作者： Hao Lv Ge Zhang Zhi-Mu Hu Qing-Song Chu jiu-xiang wang Ting Jiang Department of Orthopaedics The First Affiliated Hospital of Anhui University of Chinese MedicineHefei230031 China Graduate School of Anhui University of Chinese Medicine Hefei230012 China Department of Geriatrics The Third People's Hospital of HefeiHefei230041 China Experimental Center of Clinical Research The First Affiliated Hospital of Anhui University of Chinese MedicineHefei230031 China

Objective To investigate the causal relationships between plasma metabolites and osteoporosis via Mendelian randomization(MR)*** Bidirectional MR was used to analyze pooled data from different genome-wide association studies(GWAS)to investigate the causal relationships between plasma metabolites and *** causal effect of plasma metabolites on osteoporosis was estimated using the inverse variance weighted method,intersections of statistically significant metabolites obtained from different sources of osteoporosis-related GWAS aggregated data was determined,and then sensitivity analysis was performed on these *** between single nucleotide polymorphisms was evaluated by Cochran’s Q *** pleiotropy was assessed through the application of the MR-Egger intercept method and the MR-PRESSO *** causal effect of osteoporosis on plasma metabolites was also evaluated using the inverse variance weighted ***,pathway analysis was conducted to identify potential metabolic pathways involved in the regulation of *** After primary analysis and a series of sensitivity analyses,77 and 61 plasma metabolites were identified as having a causal relationship with osteoporosis from the GWAS data in the GCST90038656 and GCST90044600 datasets,*** common metabolites were identified via intersection.X-13684 levels(GCST90038656:OR=0.999,95%CI,0.998-1.000,P=0.004;GCST90044600(OR=0.834,95%CI,0.700-0.993,P=0.042),and the glucose-to-maltose ratio(GCST90038656:OR=0.998,95%CI,0.997-1.000,P=0.025;GCST90044600:OR=0.752,95%CI,0.576-0.981,P=0.036)were negatively associated with osteoporosis,whereas glycoursodeoxycholate levels(GCST90038656:OR=1.002,95%CI,1.000-1.003,P=0.032;GCST90044600:OR=1.331,95%CI,1.036-1.709,P=0.025)and arachidoylcarnitine(C20)levels(GCST90038656:OR=1.001,95%CI,1.000-1.003,P=0.039;GCST90044600:OR=1.237;95%CI,1.008-1.518,P=0.042)were positively associated with ***

关键词： osteoporosis plasma metabolites mendelian randomization bidirectional analysis

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Arbitrary topological charge vortex beams from carbon dots random lasers

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Rare Metals 2024年第8期43卷 3844-3853页

作者： xiang-Dong wang Xiao-Bo Mi jiu-Ru He Feng-Ying Ma Jun-Qiao wang Li Song Yong-Qiang Zhang Si-Yu Lu Yong-Sheng Hu School of Physics and Microelectronics Zhengzhou UniversityZhengzhou 450001China State Key Laboratory of Reliability and Intelligence of Electrical Equipment and Tianjin Key Laboratory of Electronic Materials and Devices School of Electronics and Information EngineeringHebei University of TechnologyTianjin 300401China Green Catalysis Center College of ChemistryZhengzhou UniversityZhengzhou450001China

Vortex beams have attracted great attention due to their promising applications in the fields of high-capacity optical communication,optical micromanipulation,and quantum information ***,we demonstrate vortex beams with flexible control of the topological charge and modes in a carbon dots random laser for the first *** beams with different types,including the Laguerre-Gaussian(LG),Bessel-Gaussian(BG),LG-superposition,and polarized vortex beams with topological charges up to 50,have been successfully ***,vortex beams can be well realized in carbon dots random lasers with different emission wavelengths covering from 465 to 612 *** work would not only enrich the types of vortex laser,especially for solution-processable lasers,but also provide a new route to realizing multicolor and wavelength-tunable vortex lasers.

关键词： Carbon dots Random lasers Vortex beam Topological charge Spatial light modulator

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Research on Pulsar Time Steered Atomic Time Algorithm Based on DPLL

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Research in Astronomy and Astrophysics 2024年第3期24卷 237-248页

作者： Ze-Hao Zheng Yang Liu Dan Shen Fan Feng jiu-Long Liu Yue-Xin Ma xiang-Wei Zhu School of Electronic and Communication Engineering Sun Yat-sen UniversityShenzhen 518107China School of Aeronautics and Astronautics Sun Yat-sen UniversityShenzhen 518107China School of Systems Science and Engineering Sun Yat-sen UniversityGuangzhou 510275China

In today’s society,there is a wide demand for high-precision and high-stability time service in the fields of electric power,communication,transportation and *** present,the time standard in various countries is mainly based on atomic clocks,but the frequency drift of atomic clocks will affect the long-term stability *** with atomic clocks,millisecond pulsars have better long-term stability and can complement with the excellent short-term stability of atomic *** order to improve the long-term stability of the atomic timescale,and then improve the timing accuracy,this paper proposes an algorithm for steering the atomic clock ensemble(ACE)by ensemble pulsar time(EPT)based on digital phase locked loop(DPLL).First,the ACE and EPT are generated by the ALGOS algorithm,then the ACE is steered by EPT based on DPLL to calibrate the long-term frequency drift of the atomic clock,so that the generated steered atomic time follows both the short-term stability characteristics of ACE and the long-term stability characteristics of EPT,and finally,the steered atomic time is used to calibrate the local cesium *** experimental results show that the long-term stability of atomic time after steering is improved by 2 orders of magnitude compared with that before steering,and the daily drift of a local cesium clock after calibration is less than 9.47 ns in 3 yr,3 orders of magnitude higher than that before calibration on accuracy.

关键词： (stars) pulsars general-time-methods data analysis-instabilities

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Biological scaffold as potential platforms for stem cells:Current development and applications in wound healing

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World Journal of Stem Cells 2024年第4期16卷 334-352页

作者： Jie-Yu xiang Lin Kang Zi-Ming Li Song-Lu Tseng Li-Quan wang Tian-Hao Li Zhu-Jun Li jiu-Zuo Huang Nan-Ze Yu Xiao Long Department of Plastic and Reconstructive Surgery Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100730China Biomedical Engineering Facility Institute of Clinical MedicinePeking Union Medical College HospitalChinese Academy of Medical SciencesBeijing 100021China

Wound repair is a complex challenge for both clinical practitioners and *** approaches for wound repair have several *** cell-based therapy has emerged as a novel strategy to address this issue,exhibiting significant potential for enhancing wound healing rates,improving wound quality,and promoting skin ***,the use of stem cells in skin regeneration presents several ***,stem cells and biomaterials have been identified as crucial components of the wound-healing *** therapy involving the development of biocompatible scaffolds,accompanying cells,multiple biological factors,and structures resembling the natural extracellular matrix(ECM)has gained considerable *** scaffolds encompass a range of biomaterials that serve as platforms for seeding stem cells,providing them with an environment conducive to growth,similar to that of the *** scaffolds facilitate the delivery and application of stem cells for tissue regeneration and wound *** article provides a comprehensive review of the current developments and applications of biological scaffolds for stem cells in wound healing,emphasizing their capacity to facilitate stem cell adhesion,proliferation,differentiation,and paracrine ***,we identify the pivotal characteristics of the scaffolds that contribute to enhanced cellular activity.

关键词： Stem-cell-based therapy Biological scaffolds Wound healing Extracellular matrix mimicry Cellular activities enhancement Scaffold characteristics

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Adipose-derived stem cells in diabetic foot care:Bridging clinical trials and practical application

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World Journal of Diabetes 2024年第6期15卷 1162-1177页

作者： Song-Lu Tseng Lin Kang Zhu-Jun Li Li-Quan wang Zi-Ming Li Tian-Hao Li Jie-Yu xiang jiu-Zuo Huang Nan-Ze Yu Xiao Long Department of Plastic and Reconstructive Surgery Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100730China Department of Plastic and Reconstructive Surgery Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100730China Biomedical Engineering Facility Institute of Clinical MedicinePeking Union Medical College HospitalChinese Academy of Medical Sciences BeijingBeijing 100021China

Diabetic foot ulcers(DFUs)pose a critical medical challenge,significantly impairing the quality of life of ***-derived stem cells(ADSCs)have been identified as a promising therapeutic approach for improving wound healing in *** extensive exploration of the mechanical aspects of ADSC therapy against DFU,its clinical applications remain *** this review,we aimed to bridge this gap by evaluating the use and advancements of ADSCs in the clinical management of *** review begins with a discussion of the classification and clinical management of diabetic foot *** then discusses the current landscape of clinical trials,focusing on their geographic distribution,reported efficacy,safety profiles,treatment timing,administration techniques,and dosing ***,the review discusses the preclinical strategies to enhance ADSC *** review shows that many trials exhibit biases in study design,unclear inclusion criteria,and intervention *** conclusion,this review underscores the potential of ADSCs in DFU treatment and emphasizes the critical need for further research and refinement of therapeutic approaches,with a focus on improving the quality of future clinical trials to enhance treatment outcomes and advance the field of diabetic wound care.

关键词： Adipose-derived stem cells Diabetic foot ulcers Wound healing Clinical

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Integrated data mining and network pharmacology to discover a novel traditional Chinese medicine prescription against diabetic retinopathy and reveal its mechanism

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TMR Modern Herbal Medicine 2024年第2期7卷 41-55页

作者： Kai-Lun Zhang Xu wang xiang-Wei Chang Jun-Fei Gu Bo-Yang Zhu Shi-Bing Wei Bo Wu Can Peng jiu-Sheng Nie De-Ling Wu College of Pharmacy Anhui University of Chinese MedicineHefei 230012China School of Traditional Chinese Medicine and School of Integrated Chinese and Western Medicine Nanjing University of Chinese MedicineNanjing 210023China MOE-Anhui Joint Collaborative Innovation Center for Quality Improvement of Anhui Genuine Chinese Medicinal Materials Anhui University of Chinese MedicineHefei 230012China Institute of Pharmaceutics Anhui Academy of Chinese MedicineHefei 230012China Anhui Province Key Laboratory of Pharmaceutical Preparation Technology and Application Anhui University of Chinese MedicineHefei 230012China Engineering Technology Research Center of Modernized Pharmaceutics Anhui Education Department(AUCM)Hefei 230012China The First Clinical Medical College Anhui University of Chinese MedicineHefei 230012China

Background:Diabetic retinopathy(DR)is currently the leading cause of blindness in elderly individuals with *** Chinese medicine(TCM)prescriptions have shown remarkable effectiveness for treating *** study aimed to screen a novel TCM prescription against DR from patents and elucidate its medication rule and molecular mechanism using data mining,network pharmacology,molecular docking and molecular dynamics(MD)***:TCM prescriptions for treating DR was collected from patents and a novel TCM prescription was identified using data ***,the mechanism of the novel TCM prescription against DR was explored by constructing a network of core TCMs-core active ingredients-core targets-core ***,molecular docking and MD simulation were employed to validate the findings from network ***:The TCMs of the collected prescriptions primarily possessed bitter and cold properties with heat-clearing and supplementing effects,attributed to the liver,lung and kidney ***,a novel TCM prescription for treating DR was identified,composed of Lycii Fructus,Chrysanthemi Flos,Astragali Radix and Angelicae Sinensis *** core active ingredients and ten core targets of the novel TCM prescription for treating DR were ***,the novel TCM prescription played a crucial role for treating DR by inhibiting inflammatory response,oxidative stress,retinal pigment epithelium cell apoptosis and retinal neovascularization through various pathways,such as the AGE-RAGE signaling pathway in diabetic complications and the MAPK signaling ***,molecular docking and MD simulation demonstrated that almost all core active ingredients exhibited satisfactory binding energies to core ***:This study identified a novel TCM prescription and unveiled its multi-component,multi-target and multi-pathway characteristics for treating *** findings provide a scientific basis and novel insights into

关键词： TCM prescriptions diabetic retinopathy medication rule molecular mechanism data mining network pharmacology molecular docking

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藏中矿区先锋植物重金属积累特征及耐性研究

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草地学报 2016年第3期24卷 598-603页

作者：赵玉红敬久旺王向涛岳海梅牛歆雨方江平西藏大学农牧学院西藏林芝860000

西藏中部矿区重金属污染严重,在矿区废弃地的先锋植物中筛选和研究适合当地气候与土壤条件的重金属耐性植物,是藏中矿区植被恢复和污染土壤修复的前提。本研究采用野外调查取样,并结合室内分析测试来进行。对矿区尾矿库生长的6种先锋植... 详细信息

西藏中部矿区重金属污染严重,在矿区废弃地的先锋植物中筛选和研究适合当地气候与土壤条件的重金属耐性植物,是藏中矿区植被恢复和污染土壤修复的前提。本研究采用野外调查取样,并结合室内分析测试来进行。对矿区尾矿库生长的6种先锋植物及其土壤重金属含量进行测定分析,结果表明:拉屋矿区尾矿库重金属污染严重,并且土壤受到Zn,Cu,Pb,Cd元素的复合污染;6种先锋植物均能适应矿区土壤重金属元素较高的环境,对重金属具有一定的耐性;6种植物对重金属的吸收表现出3种特征:尼泊尔酸模(Rumex nepalensis)和紫羊茅(Festuca rubra)属于富集型植物;高山嵩草(Kobresia pygmaea)、高原荨麻(Urtica hyperborea)、珠芽蓼(Polygonum viviparum)属于根部囤积型植物;垂穗披碱草(Elymus nutans)属于重金属规避型植物;在复合污染条件下,尼泊尔酸模对Zn的吸收超过1000mg·kg-1,高原荨麻对Cd的吸收超过50mg·kg-1,高原荨麻和尼泊尔酸模具备超富集植物的特征和潜能,对尾矿库区重金属污染有较强的耐性,可作为治理该地区污染环境的修复材料。

关键词：藏中矿区先锋植物重金属积累特性耐性

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基于高光谱的山区耕地土壤有机质含量估测

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江苏农业学报 2024年第1期40卷 112-120页

作者：张永亮汪泓肖玖军李可相王宇邢丹贵州大学矿业学院贵州贵阳550025 贵州省山地资源研究所贵州贵阳550001 贵州省土地绿色整治工程研究中心贵州贵阳550001 贵州省农业科学院辣椒研究所贵州贵阳550009

以贵州省典型山区耕地土壤高光谱数据为研究对象,基于光谱变换法和机器学习原理构建贵州省山区耕地土壤有机质(SOM)含量估算模型。于2020年8月至2021年3月在贵州省13个县(区、市)采集了120个土壤样品,检测土壤可见光-近红外波段光谱信息... 详细信息

以贵州省典型山区耕地土壤高光谱数据为研究对象,基于光谱变换法和机器学习原理构建贵州省山区耕地土壤有机质(SOM)含量估算模型。于2020年8月至2021年3月在贵州省13个县(区、市)采集了120个土壤样品,检测土壤可见光-近红外波段光谱信息,利用5种光谱数据变换(原始光谱、一阶微分、二阶微分、倒数对数的一阶微分、连续统去除)和4类模型(偏最小二乘回归、支持向量机、随机森林和BP神经网络)组合出不同土壤有机质含量的预测模型,按照3∶1选择训练样本和测试样本以估算山区SOM含量。结果表明,一阶微分数据变换与山区SOM含量的相关性较高,相关系数最高达到-0.635;反演模型中,基于一阶微分光谱变换构建的BP神经网络模型精度最高,训练集、测试集的决定系数(R 2)分别为0.845、0.838,测试集均方根误差(RMSE)为3.452,相对分析误差(RPD)达到2.470,其次是RF、PLSR模型的RPD较高,SVM模型的RPD最低。光谱数据变换中一阶微分法能极大程度提取出山区耕地的SOM含量信息,BP神经网络模型是估算山区SOM含量的最优模型,本研究结果可为贵州省山区耕地土壤肥力的监测以及农业生产提供理论参考。

关键词：土壤有机质高光谱山区耕地一阶微分 BP神经网络

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自适应特征融合的多模态实体对齐研究

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自动化学报 2024年第4期50卷 758-770页

作者：郭浩李欣奕唐九阳郭延明赵翔国防科技大学系统工程学院长沙410073

多模态数据间交互式任务的兴起对于综合利用不同模态的知识提出了更高的要求,因此融合不同模态知识的多模态知识图谱应运而生.然而,现有多模态知识图谱存在图谱知识不完整的问题,严重阻碍对信息的有效利用.缓解此问题的有效方法是通过... 详细信息

多模态数据间交互式任务的兴起对于综合利用不同模态的知识提出了更高的要求,因此融合不同模态知识的多模态知识图谱应运而生.然而,现有多模态知识图谱存在图谱知识不完整的问题,严重阻碍对信息的有效利用.缓解此问题的有效方法是通过实体对齐进行知识图谱补全.当前多模态实体对齐方法以固定权重融合多种模态信息,在融合过程中忽略不同模态信息贡献的差异性.为解决上述问题,设计一套自适应特征融合机制,根据不同模态数据质量动态融合实体结构信息和视觉信息.此外,考虑到视觉信息质量不高、知识图谱之间的结构差异也影响实体对齐的效果,本文分别设计提升视觉信息有效利用率的视觉特征处理模块以及缓和结构差异性的三元组筛选模块.在多模态实体对齐任务上的实验结果表明,提出的多模态实体对齐方法的性能优于当前最好的方法.

关键词：多模态知识图谱实体对齐预训练模型特征融合

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一流课程建设背景下“天然药物化学”课程建设探索

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教育教学论坛 2024年第33期 103-106页

作者：王宜海何祥久广东药科大学药学院广东广州510006

“天然药物化学”是药学相关专业的核心专业课程。在一流本科课程建设背景下,对“天然药物化学”课程也提出了新的要求。以培养一流药学人才为目标,结合一流课程建设背景,针对目前“天然药物化学”课程教学中存在的问题,就如何改变以应... 详细信息

“天然药物化学”是药学相关专业的核心专业课程。在一流本科课程建设背景下,对“天然药物化学”课程也提出了新的要求。以培养一流药学人才为目标,结合一流课程建设背景,针对目前“天然药物化学”课程教学中存在的问题,就如何改变以应试为主的教育模式,培养学生对“天然药物化学”课程的兴趣,加强课堂教学与科学研究之间的沟通,以兴趣引导教学、以科研促进教学等方面来探讨“天然药物化学”课程建设举措,以期为“天然药物化学”课程建设提供新思路。

关键词：天然药物化学一流课程课程建设

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