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贵州省12岁儿童口腔健康相关生活质量及影响因素

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中国儿童保健杂志 2024年第8期32卷 862-867页

作者：张旭彤李娜吴娟娟陈欣月赵南洋陈黎明戴泰鸣贵州大学医学院贵州贵阳550025 贵阳市口腔医院遵义医科大学

目的了解贵州省12岁儿童口腔健康相关生活质量状况,评估其影响因素,为学龄期儿童口腔疾病的健康教育和防治提供参考依据。方法采用多阶段随机分层抽样的方法抽取贵州省12岁儿童1777人纳入研究,按照WHO口腔健康检查标准进行口腔检查,使... 详细信息

目的了解贵州省12岁儿童口腔健康相关生活质量状况,评估其影响因素,为学龄期儿童口腔疾病的健康教育和防治提供参考依据。方法采用多阶段随机分层抽样的方法抽取贵州省12岁儿童1777人纳入研究,按照WHO口腔健康检查标准进行口腔检查,使用儿童日常生活口腔影响量表(Child-OIDP)评估儿童日常生活质量。运用χ2检验、非参数检验和二分类Logistic回归模型分析其影响因素。结果共有73.3%(1303/1777)的12岁儿童显示在过去6个月内至少受到1次口腔健康状况的影响,受到影响最高的是饮食(52.6%),而最低的是上学(16.0%)。居住于农村地区(OR=0.483,95%CI:0.322~0.723)是口腔相关生活质量受影响的保护因素(P<0.001);经济状况为二类经济地区(OR=1.926,95%CI:1.404~2.642)和三类经济地区(OR=5.347,95%CI:3.295~8.677)、每周2~6次的甜食摄入频率(OR=1.518,95%CI:1.143~2.015)和每天1次及以上的甜食摄入频率(OR=1.433,95%CI:1.098~1.871)、良好的口腔健康知识水平(OR=1.693,95%CI:1.145~2.502)、一般的口腔健康态度(OR=1.830,95%CI:1.143~2.928)及积极的口腔健康态度(OR=2.121,95%CI:1.353~3.324)与口腔相关生活质量受影响呈正相关(P<0.05)。结论贵州省12岁儿童的日常生活广泛受到口腔健康状况的影响,但影响的程度相对较轻。

关键词：口腔卫生口腔流行病学学龄期儿童儿童日常生活口腔影响量表

瑞马唑仑对髋部骨折老年患者术后早期认知功能的影响

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中国临床药理学与治疗学 2024年第2期29卷 146-153页

作者：段功宸吴继敏徐巧敏江建鑫蓝海燕张旭彤袁开明李军温州医科大学附属第六医院麻醉科浙江丽水323000 温州医科大学附属第二医院育英儿童医院麻醉与围术期医学科浙江温州325027

目的:基于随机对照试验评估瑞马唑仑对髋部骨折老年患者术后早期认知功能的影响。方法:选取2022年12月至2023年6月间在温州医科大学附属第六医院腰硬联合麻醉下行髋部骨折手术并满足纳入标准的106名老年患者为研究对象,年龄65^90岁,ASA... 详细信息

目的:基于随机对照试验评估瑞马唑仑对髋部骨折老年患者术后早期认知功能的影响。方法:选取2022年12月至2023年6月间在温州医科大学附属第六医院腰硬联合麻醉下行髋部骨折手术并满足纳入标准的106名老年患者为研究对象,年龄65^90岁,ASA分级Ⅱ或Ⅲ级。按照随机数字表分为瑞马唑仑组(R组)、丙泊酚组(P组),每组53例。两组患者接受腰硬联合麻醉后,P组缓慢静注丙泊酚0.3^0.5 mg/kg(注射时间1 min)后以0.5^3 mg·kg^(-1)·h^(-1)泵注维持;R组缓慢静注瑞马唑仑负荷量0.05 mg/kg(注射时间1 min)后以0.1^0.3 mg·kg^(-1)·h^(-1)维持术中镇静。两组患者以维持改良警觉镇静评分(MOAA/S)为3^4分、脑电双频指数(BIS)值75^85间来调整泵注速率;缝合切口时停止输注镇静药。记录两组患者镇静前(T0),镇静后5(T1)、10(T2)、15(T3)、30(T4)、60min(T5)及术毕时(T6)的平均动脉压(MAP)、心率(HR)、呼吸频率(RR)、血氧饱和度(SpO2)、改良警觉镇静评分(MOAA/S)评分、BIS值,记录两组患者苏醒时间、术中遗忘、术后7 d内谵妄(POD)及神经认知恢复延迟(DNR)的发生率。结果:与T0时点比较,两组患者T1^T5时点的BIS和MOAA/S评分明显降低(P<0.05),T1^T6时点的MAP、HR显著降低(P<0.05)。与P组比较,R组患者T1^T6时点的MAP均更高(P均<0.05),苏醒时间短[(6.6±1.8)vs.(7.7±2.2)min,P<0.05],术后第7天Hopkins言语学习测试评分下降幅度更小(3.9±3.9 vs.6.2±4.6,P<0.05),术后谵妄、术后DNR发生率显著降低(7.5%vs. 28.3%,5.7%vs. 20.8%,P<0.05),术中遗忘发生率增高(52.8%vs. 28.3%,P<0.05);低血压、心动过缓发生率更低(15.1%vs. 37.7%,5.6%vs. 22.6%,P<0.05)、血管活性药物使用频次更少(P<0.05)。结论:瑞马唑仑用于髋部骨折老年患者可提供有效的围术期镇静,且血流动力学稳定,对术后早期神经认知功能影响小,总体安全性高于丙泊酚。

关键词：瑞马唑仑老年患者腰硬联合麻醉镇静神经认知功能

基于Web of Science的护士持续职业发展研究可视化分析

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职业与健康 2024年第13期40卷 1824-1830页

作者：陈唱唱郑旭彤穆赫孜吾超张曼郎红娟空军军医大学护理系陕西西安710032 福建中医药大学护理学院福建福州350000 延安大学医学院陕西延安716000

目的全面、科学地分析近十年护士持续职业发展(continuing professional development,CPD)相关文献的研究近况、研究热点和未来趋势,为护理学科发展战略和未来研究拓展提供参考。方法检索2013年1月1日—2022年9月16日Web of Science核... 详细信息

目的全面、科学地分析近十年护士持续职业发展(continuing professional development,CPD)相关文献的研究近况、研究热点和未来趋势,为护理学科发展战略和未来研究拓展提供参考。方法检索2013年1月1日—2022年9月16日Web of Science核心合集数据库中收录的护士CPD相关文献,通过CiteSpace软件对论文产出概况、研究作者、国家/地区、机构及关键词进行可视化分析,并结合提取的信息分析该领域的研究主题与研究热点。结果经过筛选共纳入997篇有效文献,年发文量整体呈上升趋势;发文量最多的作者是Rob Poell(荷兰);发文量最多的国家/地区和机构以发达国家为主,美国处于领先地位,中国则较少涉猎;研究机构排名第一为多伦多大学(加拿大)。该领域的研究热点是质性研究和实践结局;职业倦怠、参与动机和面临的挑战可能是今后的研究趋势。结论目前国外护士CPD模式处于相对成熟阶段,我国有待借鉴国外经验,构建本土化CPD模式,以期为我国护理事业长远发展提供参考。

关键词：持续职业发展可视化分析护士研究热点

基于高水平项目大赛的医学青年创新能力培养模式的探索

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中国继续医学教育 2024年第17期16卷 177-180页

作者：罗欣赵紫睿谭旭彤罗涵青吴南赵潺中国医学科学院北京协和医院团委和青年工作部北京100730

为激发医学青年科技创新活力,激励医学青年在科技创新和成果转化领域“挑大梁、担主角”,培育科技创新青年人才,搭建助力青年科技创新的全方位服务平台,加快推动医学青年创新转化的“最后一公里”,文章以首届全国卫生健康行业青年创新... 详细信息

为激发医学青年科技创新活力,激励医学青年在科技创新和成果转化领域“挑大梁、担主角”,培育科技创新青年人才,搭建助力青年科技创新的全方位服务平台,加快推动医学青年创新转化的“最后一公里”,文章以首届全国卫生健康行业青年创新大赛为案例,分析大赛如何通过高规格的组织、广泛的项目覆盖、科学客观的评审体系以及全媒体宣传矩阵的有效应用,成功激发医学青年的创新活力,挖掘其创新潜力。通过完善青年科技创新赛事体系、制订阶梯式科技创新和成果转化培训课程、探索分阶段项目评审奖励方式、建立优秀项目全流程培育跟踪的有效机制及加强大赛创新成果的交流互鉴等建议,为青年创新转化全流程提供有效的孵化平台。通过一系列举措可以进一步激励医学青年在科技创新和成果转化领域发挥更大作用,实现科技成果的高效转化,推动卫生健康事业的高质量发展。

关键词：医学青年创新大赛创新能力培养模式探索实践孵化平台

Transcriptome shock in an interspecific F1 triploid hybrid of Oryza revealed by RNA sequencing

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Journal of Integrative Plant Biology 2016年第2期58卷 150-164页

作者： Ying wu Yue Sun xutong Wang Xiuyun Lin Shuai Sun Kun Shen Jie Wang Tingting Jiang Silin Zhong Chunming Xu Bao Liu Key Laboratory of Molecular Epigenetics of the Ministry of Education(MOE) Northeast Normal UniversityChangchun 130024China Jilin Academy of Agricultural Sciences Changchun 130032China State Key Laboratory of Agrobiotechnology School of Life SciencesThe Chinese University of Hong KongHong KongChina

Interspecific hybridization is a driving force in evolution and speciation of higher plants. Interspecific hybridization often induces immediate and saltational changes in gene expression, a phenomenon collectively termed ＂transcriptome shock＂. Although transcriptome shock has been reported in various plant and animal taxa, the extent and pattern of shock-induced expression changes are often highly idiosyncratic, and hence entails additional investigations. Here, we produced a set of interspecific F1 triploid hybrid plants between Oryza sativa, ssp. japonica （2n=2x=24, genome AA） and the tetraploid form of O. punctata （2n=4x =48, genome, BBCC）, and conducted RNA-seq transcriptome profiling of the hybrids and their exact parental plants. We analyzed both homeolog expression bias and overall gene expression level difference in the hybrids relative to the in silico ＂hybrids＂（parental mixtures）. We found that approximately 16% （2,541） of the 16,112 expressed genes in leaf tissue of the F1 hybrids showed nonadditive expression, which were specifically enriched in photosynthesis-related pathways. Interestingly, changes in the maternal homeolog expression, including non-stochastic silencing, were the major causes for altered homeolog expression partitioning in the F1 hybrids. Our findings have provided further insights into the tran- scriptome response to interspecific hybridization and heterosis.

关键词： Cis- and trans-regulation homeolog expression rewiring interspecific hybrid Oryza promoter divergence transcriptome shock

Genomic mosaicism due to homoeologous exchange generates extensive phenotypic diversity in nascent allopolyploids

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National Science Review 2021年第5期8卷 23-37页

作者： Ying wu Fan Lin Yao Zhou Jie Wang Shuai Sun Bin Wang Zhibin Zhang Guo Li Xiuyun Lin xutong Wang Yue Sun Qianli Dong Chunming Xu Lei Gong Jonathan F.Wendel Zhiwu Zhang Bao Liu Key Laboratory of Molecular Epigenetics of the Ministry of Education Northeast Normal University Department of Crop & Soil Sciences Washington State University Brightseed Inc. Department of Ecology Evolution& Organismal BiologyIowa State University

Allopolyploidy is an important process in plant speciation, yet newly formed allopolyploid species typically suffer from extreme genetic bottlenecks. One escape from this impasse might be homoeologous meiotic pairing, during which homoeologous exchanges(HEs) generate phenotypically variable progeny. However,the immediate genome-wide patterns and resulting phenotypic diversity generated by HEs remain largely unknown. Here, we analyzed the genome composition of 202 phenotyped euploid segmental allopolyploid individuals from the fourth selfed generation following chromosomal doubling of reciprocal F1 hybrids of crosses between rice subspecies, using whole-genome sequencing. We describe rampant occurrence of HEs that, by overcoming incompatibility or conferring superiority of hetero-cytonuclear interactions, generate extensive and individualized genomic mosaicism across the analyzed tetraploids. We show that the resulting homoeolog copy number alteration in tetraploids affects known-function genes and their complex genetic interactions, in the process creating extraordinary phenotypic diversity at the population level following a single initial hybridization. Our results illuminate the immediate genomic landscapes possible in a tetraploid genomic environment, and underscore HE as an important mechanism that fuels rapid phenotypic diversification accompanying the initial stages of allopolyploid evolution.

关键词： nascent allopolyploidy homoeologous recombination phenotypic diversity plant evolution GWAS dosage effects epistasis

Drug target inference by mining transcriptional data using a novel graph convolutional network framework

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Protein & Cell 2022年第4期13卷 281-301页

作者： Feisheng Zhong Xiaolong wu Ruirui Yang xutong Li Dingyan Wang Zunyun Fu Xiaohong Liu XiaoZhe Wan Tianbiao Yang Zisheng Fan Yinghui Zhang Xiaomin Luo Kaixian Chen Sulin Zhang Hualiang Jiang Mingyue Zheng Drug Discovery and Design Center State Key Laboratory of Drug ResearchShanghai Institute of Materia MedicaChinese Academy of SciencesShanghai 201203China University of Chinese Academy of Sciences Beijing 100049China School of Pharmacy East China University of Science and TechnologyShanghai 200237China Nanjing University of Chinese Medicine Nanjing 210023China Shanghai Institute for Advanced Immunochemical Studies and School of Life Science and TechnologyShanghaiTech UniversityShanghai 200031China

A fundamental challenge that arises in biomedicine is the need to characterize compounds in a relevant cellular context in order to reveal potential on-target or offtarget ***,the fast accumulation of gene transcriptional profiling data provides us an unprecedented opportunity to explore the protein targets of chemical compounds from the perspective of cell transcriptomics and RNA ***,we propose a novel Siamese spectral-based graph convolutional network(SSGCN)model for inferring the protein targets of chemical compounds from gene transcriptional *** the gene signature of a compound perturbation only provides indirect clues of the interacting targets,and the biological networks under different experiment conditions further complicate the situation,the SSGCN model was successfully trained to learn from known compound-target pairs by uncovering the hidden correlations between compound perturbation profiles and gene knockdown *** a benchmark set and a large time-split validation dataset,the model achieved higher target inference accuracy as compared to previous methods such as Connectivity *** experimental validations of prediction results highlight the practical usefulness of SSGCN in either inferring the interacting targets of compound,or reversely,in finding novel inhibitors of a given target of interest.

关键词： drug target inference transcriptomics deep learning experimental verification

Artificial intelligence in drug design

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Science China(Life Sciences) 2018年第10期61卷 1191-1204页

作者： Feisheng Zhong Jing Xing xutong Li Xiaohong Liu Zunyun Fu Zhaoping Xiong Dong Lu Xiaolong wu Jihui Zhao Xiaoqin Tan Fei Li Xiaomin Luo Zhaojun Li Kaixian Chen Mingyue Zheng Hualiang Jiang Drug Discovery and Design Center State Key Laboratory of Drug Research Shanghai Institute of Materia Medica Chinese Academy of SciencesShanghai 201203China School of Pharmacy University of Chinese Academy of SciencesBeijing 100049 China School of Life Science and Technology ShanghaiTech UniversityShanghai 200031 China Department of Chemistry College of Sciences Shanghai UniversityShanghai 200444 China School of Information Management Dezhou UniversityDezhou 253023 China

Thanks to the fast improvement of the computing power and the rapid development of the computational chemistry and biology,the computer-aided drug design techniques have been successfully applied in almost every stage of the drug discovery and development pipeline to speed up the process of research and reduce the cost and risk related to preclinical and clinical *** to the development of machine learning theory and the accumulation of pharmacological data, the artificial intelligence(AI) technology, as a powerful data mining tool, has cut a figure in various fields of the drug design, such as virtual screening,activity scoring, quantitative structure-activity relationship(QSAR) analysis, de novo drug design, and in silico evaluation of absorption, distribution, metabolism, excretion and toxicity(ADME/T) properties. Although it is still challenging to provide a physical explanation of the AI-based models, it indeed has been acting as a great power to help manipulating the drug discovery through the versatile frameworks. Recently, due to the strong generalization ability and powerful feature extraction capability,deep learning methods have been employed in predicting the molecular properties as well as generating the desired molecules,which will further promote the application of AI technologies in the field of drug design.

关键词： drug design artificial intelligence deep learning QSAR ADME/T

Policy Assessment and Recommendations for Forestry-based Ecological Poverty Alleviation: An Empirical Study from the Prefectures of Nujiang and Aba, Southwestern China

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Journal of Resources and Ecology 2021年第1期12卷 110-123页

作者： WANG Yaming QIN Fanding ZHAO Guangshuai FENG Qinliang wu Qiong LI Yang YI xutong Economics and Development Research Center of National Forestry-Grassland Administration Beijing 100714China Guangxi University of Finance and Economics Nanning 530003China

China has adopted a long-term campaign against poverty. In recent decades, there is an increasing understanding that ecological poverty alleviation can meet the dual goals of environmental protection and rural poverty reduction. China is pivoting towards forestry-based poverty reduction in the severely poverty-stricken areas. However, several key factors remain elusive, including the extent to which the poor people benefit from forestry programs, whether they are satisfied with the policies and whether the policies are effective for poverty alleviation. Based on data collected through a questionnaire survey of 79 households in the prefectures of Nujiang and Aba, southwestern China, the analytic hierarchy process(AHP) approach was used to examine the effectiveness of the forestry-based poverty alleviation policy. The results showed that four poverty alleviation pathways, including industry, employment, micro-finance and pairing assistance in villages, had obviously increased the incomes of the filing poor households and solved the problem of "Two Worries-free and Three Guarantees". The poor were satisfied with the forestry-based ecological poverty alleviation policies and these policies had good effects in fighting against poverty. However, there are still some shortcomings, such as a lack of active participation, imperfect targeted identification, lack of funds and limited sources of funds during the policy implementation. Our results highlight the importance of the forestry industry and the public welfare position in the alleviation of poverty in the poverty-stricken areas. Synergies between ecological protection and poverty reduction are possible through sound forestry-based policies. This article recommends five policies to simultaneously realize the potential of poverty alleviation and environment protection through forestry development.

关键词： forest-based ecological poverty alleviation forestry policy assessment and policy recommendation the"Two Worries-free and Three Guarantees" severely poverty-stricken areas the"Three Regions and Three Prefectures"