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Quorum sensing-based interactions among drugs,microbes,and diseases

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Science China(Life Sciences) 2023年第1期66卷 137-151页

作者： Shengbo Wu shujuan yang Manman Wang Nan Song Jie Feng Hao Wu Aidong yang Chunjiang Liu Yanni Li Fei Guo Jianjun Qiao School of Chemical Engineering and Technology Tianjin UniversityTianjin 300072China School of Computer Science and Engineering Central South UniversityChangsha 410083China State Key Laboratory of Chemical Engineering Tianjin UniversityTianjin 300072China Collaborative Innovation Center of Chemical Science and Engineering(Tianjin) Tianjin 300072China Key Laboratory of Systems Bioengineering Ministry of Education(Tianjin University)Tianjin 300072China School of Computer Science and Technology College of Intelligence and ComputingTianjin UniversityTianjin 300350China Department of Engineering Science University of OxfordOxford OX13PJUK Institute of Shaoxing Tianjin UniversityShaoxing 312300China

Many diseases and health conditions are closely related to various microbes,which participate in complex interactions with diverse drugs;nonetheless,the detailed targets of such drugs remain to be *** existing studies have reported causal associations among drugs,gut microbes,or diseases,calling for a workflow to reveal their intricate *** this study,we developed a systematic workflow comprising three modules to construct a Quorum Sensing-based Drug-Microbe-Disease(QSDMD)database(http://***/),which includes diverse interactions for more than 8,000 drugs,163 microbes,and 42 common *** interactions between microbes and more than 8,000 drugs have been systematically studied by targeting microbial QS receptors combined with a docking-based virtual screening technique and in vitro experimental ***,we have constructed a QS-based drug-receptor interaction network,proposed a systematic framework including various drug-receptor-microbe-disease connections,and mapped a paradigmatic circular interaction network based on the QS-DMD,which can provide the underlying QS-based mechanisms for the reported causal *** QS-DMD will promote an understanding of personalized medicine and the development of potential therapies for diverse *** work contributes to a paradigm for the construction of a molecule-receptor-microbe-disease interaction network for human health that may form one of the key knowledge maps of precision medicine in the future.

关键词： quorum sensing drugs microbe-disease association microbe-host interaction gut microbiota personalized medicine

Repairing Work of CGR 012M Cryogenic Refrigerators

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IMP & HIRFL Annual Report 1994年 94-95页

作者： Man Kaidi Jia Yusheng and yang shujuan

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Predicting Lactobacillus delbrueckii subsp. bulgaricusStreptococcus thermophilus interactions based on a highly accurate semi-supervised learning method

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Science China Life Sciences 2024年

作者： shujuan yang Mei Bai Weichi Liu Weicheng Li Zhi Zhong Lai-Yu Kwok Gaifang Dong Zhihong Sun Key Laboratory of Dairy Biotechnology and Engineering Ministry of Education Inner Mongolia Agricultural University Key Laboratory of Dairy Products Processing Ministry of Agriculture and Rural Affairs Inner Mongolia Agricultural University Inner Mongolia Key Laboratory of Dairy Biotechnology and Engineering Inner Mongolia Agricultural University Collaborative Innovative Center for Lactic Acid Bacteria and Fermented Dairy Products Ministry of Education Inner Mongolia Agricultural University College of Computer and Information Engineering Inner Mongolia Agricultural University Inner Mongolia Autonomous Region Key Laboratory of Big Data Research and Application of Agriculture and Animal Husbandry

Lactobacillus delbrueckii subsp. bulgaricus(L. bulgaricus) and Streptococcus thermophilus(S. thermophilus) are commonly used starters in milk fermentation. Fermentation experiments revealed that L. bulgaricus-S. thermophilus interactions(LbSt I) substantially impact dairy product quality and production. Traditional biological humidity experiments are time-consuming and labor-intensive in screening interaction combinations, an artificial intelligence-based method for screening interactive starter combinations is necessary. However,in the current research on artificial intelligence based interaction prediction in the field of bioinformatics, most successful models adopt supervised learning methods, and there is a lack of research on interaction prediction with only a small number of labeled ***, this study aimed to develop a semi-supervised learning framework for predicting LbSt I using genomic data from 362 isolates(181per species). The framework consisted of a two-part model: a co-clustering prediction model(based on the Kyoto Encyclopedia of Genes and Genomes(KEGG) dataset) and a Laplacian regularized least squares prediction model(based on K-mer analysis and gene composition of all isolates datasets). To enhance accuracy, we integrated the separate outcomes produced by each component of the two-part model to generate the ultimate LbSt I prediction results, which were verified through milk fermentation experiments. Validation through milk fermentation experiments confirmed a high precision rate of 85%(17/20; validated with 20 randomly selected combinations of expected interacting isolates). Our data suggest that the biosynthetic pathways of cysteine, riboflavin, teichoic acid, and exopolysaccharides, as well as the ATP-binding cassette transport systems, contribute to the mutualistic relationship between these starter bacteria during milk fermentation. However, this finding requires further experimental verification. The presented model and data are valua

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Gut dysbiosis of bacteria and fungi associated with human immunodeficiency virus infection

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Chinese Medical Journal 2022年第11期135卷 1376-1378页

作者： Xueqi Wu Yuanhong Xu Qingfeng Li Fengjiao yang Shenghua He Yingjie Li shujuan yang Peibin Zeng West China School of Public Health and West China Fourth Hospital Sichuan UniversityChengduSichuan 610041China Chengdu Public Health Clinical Center ChengduSichuan 610095China.

To the Editor:There have been growing concerns about the gut bacterial dysbiosis associated with HIV infection,addressing a critical role of gut bacteria in persistent chronic inflammation and severe intestinal dysfunction among the human immunodeficiency virus(HIV)infected ***,little is known about the gut fungal dysbiosis caused by ***,we launched a case-control study aiming to explore the gut dysbiosis of bacteria and fungi in HIV infection,which may reveal a more comprehensive feature of HIV infection-related gut dysbiosis of bacteria and fungi that possibly play a role in the chronic systemic immune activation observed in HIV infection.

关键词： infection immunodeficiency inflammation

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世界科技社团在国家创新体系中的作用

科技导报 2022年第5期40卷 22-27页

作者：杨书卷中国科协学会服务中心北京100081

分析了科技社团在构建国家创新体系的社会机制与组成要素中扮演的独特角色,通过梳理美国、日本、德国等世界主要发达国家科技社团在服务国家科技创新中的实践经验,探讨了科技社团在助力基础应用研究、促进产学研结合、加速科技成果转化... 详细信息

分析了科技社团在构建国家创新体系的社会机制与组成要素中扮演的独特角色,通过梳理美国、日本、德国等世界主要发达国家科技社团在服务国家科技创新中的实践经验,探讨了科技社团在助力基础应用研究、促进产学研结合、加速科技成果转化等方面的重要作用,总结了科技社团以专业引领力服务国家创新发展战略、以专业影响力参与全球科技创新规则制定、以专业组织力支撑国家科技创新活动的共性规律。

关键词：科技社团国家创新体系科技创新规则

阻塞性睡眠呼吸暂停低通气综合征患儿扁桃体腺样体切除术后机体免疫功能的变化

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临床耳鼻咽喉头颈外科杂志 2008年第17期22卷 785-786页

作者：杨淑娟聊城市人民医院耳鼻咽喉科山东聊城252000

目的:探讨阻塞性睡眠呼吸暂停低通气综合征(OSAHS)患儿进行扁桃体腺样体切除术后机体免疫功能的变化。方法:检测OSAHS患儿扁桃体腺样体切除术前后血清免疫球蛋白IgG、IgA、IgM及CD3、CD4、CD8的水平,比较患儿术前和术后不同时期血清免... 详细信息

目的:探讨阻塞性睡眠呼吸暂停低通气综合征(OSAHS)患儿进行扁桃体腺样体切除术后机体免疫功能的变化。方法:检测OSAHS患儿扁桃体腺样体切除术前后血清免疫球蛋白IgG、IgA、IgM及CD3、CD4、CD8的水平,比较患儿术前和术后不同时期血清免疫球蛋白和T淋巴细胞亚群的变化。结果:患儿术后IgG、IgA、IgM及CD3、CD4、CD8的水平有所下降,但与术前相比差异无统计学意义。结论:OSAHS患儿进行扁桃体腺样体切除术对细胞免疫和体液免疫影响不大。儿童时期切除扁桃体和腺样体并不损害宿主免疫的完整性或减少宿主的免疫活力。

关键词：睡眠呼吸暂停低通气综合征,阻塞性免疫功能儿童手术治疗

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新形势下科技社团在科技伦理治理中的作用

科技导报 2023年第7期41卷 71-78页

作者：杨书卷中国科协学会服务中心北京100081

论述了高水平科技伦理治理的重要意义,分析了科技社团参与科技伦理治理的专业社会组织优势、凝聚科技人才优势、民间国际交流优势,梳理了科技社团在构建科技伦理治理体系中价值引领、制度规范、强化监管、培育伦理生态、增强国际话语权... 详细信息

论述了高水平科技伦理治理的重要意义,分析了科技社团参与科技伦理治理的专业社会组织优势、凝聚科技人才优势、民间国际交流优势,梳理了科技社团在构建科技伦理治理体系中价值引领、制度规范、强化监管、培育伦理生态、增强国际话语权中的作用,并提出了全面提升中国科技社团参与科技伦理治理能力水平的建议。

关键词：科技社团科技伦理协同治理

空间全生命周期流行病学在慢性病研究中的应用

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中华流行病学杂志 2022年第5期43卷 755-760页

作者：杨淑娟贾鹏四川大学华西公共卫生学院/华西第四医院成都610041 武汉大学空间全生命周期流行病学国际研究中心武汉430072 武汉大学资源与环境科学学院武汉430072

近年来,慢性病致病因素的研究从专注行为生活方式等非空间因素逐渐向地理环境等空间因素延伸。空间全生命周期流行病学是健康地理学的分支方向。作为全生命周期流行病学和空间流行病学的融合,空间全生命周期流行病学结合先进的地理信息... 详细信息

近年来,慢性病致病因素的研究从专注行为生活方式等非空间因素逐渐向地理环境等空间因素延伸。空间全生命周期流行病学是健康地理学的分支方向。作为全生命周期流行病学和空间流行病学的融合,空间全生命周期流行病学结合先进的地理信息、测绘遥感、移动定位、人工智能等技术,对个体的全生命周期暴露史(暴露组)进行精准回溯、测量及模拟,采用累积风险模型和关键期/敏感期风险模型等全生命周期模型研究暴露史在个体全生命周期不同阶段对健康的影响。本文对空间全生命周期流行病学在慢性病研究中的理论基础、分析策略及重点研究内容进行综述,旨在促进其在慢性病领域的致病因素研究中的应用,为后续研究提供参考和建议,推动健康地理学的发展,最终实现全生命周期精准健康管理。

关键词：全生命周期流行病学健康地理学慢性病累积风险模型关键期风险模型敏感期风险模型

心脏磁共振成像在射血分数保留的心力衰竭中的应用

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中华心血管病杂志 2022年第7期50卷 717-722页

作者：杨淑娟赵世华中国医学科学院北京协和医学院国家心血管病中心阜外医院磁共振影像科北京100037

射血分数保留的心力衰竭(HFpEF)是一组病因复杂的临床综合征,其发病率及病死率高。心脏磁共振(CMR)多模态参数成像可无创地“一站式”评估心脏的结构、功能及组织学情况。该文阐述了CMR对HFpEF临床诊断、预后评估及疗效监测的应用价值。

关键词：心力衰竭磁共振成像诊断预后舒张功能障碍