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Proteo-transcriptomic profiles reveal key regulatory pathways and functions of LDHA in the ovulation of domestic chickens(Gallus gallus)

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Journal of Animal Science and Biotechnology 2024年第4期15卷 1449-1465页

作者： Ruixue Nie wenhui zhang Haoyu Tian Junying Li Yao Ling Bo zhang Hao zhang Changxin Wu State Key Laboratory of Animal Biotech Breeding Beijing Key Laboratory for Animal Genetic ImprovementCollege of Animal Science and TechnologyChina Agricultural UniversityBeijing 100193China

Background In poultry, the smooth transition of follicles from the preovulatory-to-postovulatory phase impacts egg production in hens and can benefit the poultry industry. However, the regulatory mechanism underlying follicular ovulation in avians is a complex biological process that remains *** Critical biochemical events involved in ovulation in domestic chickens(Gallus gallus) were evaluated by transcriptomics, proteomics, and in vitro assays. Comparative transcriptome analyses of the largest preovulatory follicle(F1) and postovulatory follicle(POF1) in continuous laying(CL) and intermittent laying(IL) chickens indicated the greatest difference between CL_F1 and IL_F1, with 950 differentially expressed genes(DEGs), and the smallest difference between CL_POF1 and IL_POF1, with 14 DEGs. Additionally, data-independent acquisition proteomics revealed 252 differentially abundant proteins between CL_F1 and IL_F1. Perivitelline membrane synthesis, steroid biosynthesis, lysosomes, and oxidative phosphorylation were identified as pivotal pathways contributing to ovulation regulation. In particular, the regulation of zona pellucida sperm-binding protein 3, plasminogen activator, cathepsin A, and lactate dehydrogenase A(LDHA) was shown to be essential for ovulation. Furthermore, the inhibition of LDHA decreased cell viability and promoted apoptosis of ovarian follicles in *** This study reveals several important biochemical events involved in the process of ovulation, as well as crucial role of LDHA. These findings improve our understanding of ovulation and its regulatory mechanisms in avian species.

关键词： Chicken Data-independent acquisition proteomics LDHA Ovulation Regulatory mechanism Transcriptome

Fault DiagnosisMethod of Energy Storage Unit of Circuit Breakers Based on EWT-ISSA-BP

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Energy Engineering 2024年第7期121卷 1991-2007页

作者： Tengfei Li wenhui zhang Ke Mi Qingming Lin Shuangwei Zhao Jiayi Song Puneng Electric Power Technology Engineering Branch Shanghai Hengnengtai Enterprise Management Co.Ltd.Shanghai200437China School of Electrical Engineering Sichuan UniversityChengdu610065China

Aiming at the problem of energy storage unit failure in the spring operating mechanism of low voltage circuit breakers(LVCBs).A fault diagnosis algorithm based on an improved Sparrow Search Algorithm(ISSA)optimized Backpropagation Neural Network(BPNN)is proposed to improve the operational safety of *** the 1.5kV/4000A/75kA LVCB as an *** to the current operating characteristics of the energy storage motor,fault characteristics are extracted based on Empirical Wavelet Transform(EWT).Traditional BPNN has problems such as difficulty adjusting network weights and thresholds,being sensitive to initial weights,and quickly falling into local optimal *** Sparrow Search Algorithm(SSA)with self-adjusting weight factors combined with bidirectional mutations is added to optimize the selection of BPNN *** results show that the ISSA-BPNN can accurately and quickly distinguish six conditions of motor voltage reduction:motor voltage increase,motor voltage decrease,energy storage spring stuck,transmission gear stuck,regular state and energy storage spring not *** is suitable for fault diagnosis and detection of the energy storage part of LVCB.

关键词： Low voltage circuit breakers energy storage motor current sparrow search algorithm empirical wavelet transform fault diagnosis

Microbiome and metabolome dysbiosis analysis in impaired glucose tolerance for the prediction of progression to diabetes mellitus

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Journal of Genetics and Genomics 2024年第1期51卷 75-86页

作者： Boxun zhang Xuan zhang Zhen Luo Jixiang Ren Xiaotong Yu Haiyan Zhao Yitian Wang wenhui zhang Weiwei Tian Xiuxiu Wei Qiyou Ding Haoyu Yang Zishan Jin Xiaolin Tong Jun Wang Linhua Zhao Institute of Metabolic Diseases Guang'anmen HospitalChina Academy of Chinese Medical SciencesBeijing 100053China Faculty of Biological Science and Technology Baotou Teacher's CollegeBaotouInner Mongolia 014030China CAS Key Laboratory of Pathogenic Microbiology and Immunology Institute of MicrobiologyChinese Academy of SciencesBeijing 100101China Infinitus(China)Company Ltd GuangzhouGuangdong 510405China Affiliated Hospital of Changchun University of Chinese Medicine ChangchunJilin 130021China Department of Endocrinology Guang'anmen HospitalChina Academy of Chinese Medical SciencesBeijing 100053China Xinjiekou Community Health Service Center in Xicheng District Beijing 100035China Department of Spleen and Stomach Shenzhen Traditional Chinese Medicine HospitalShenzhenGuangdong 518033China University of Chinese Academy of Sciences Beijing 100049China Beijing University of Chinese Medicine Beijing 100105China Northeast Asia Institute of Traditional Chinese Medicine Changchun University of Chinese MedicineChangchunJilin 130117China

Gut microbiota and circulating metabolite dysbiosis predate important pathological changes in glucose metabolic disorders;however,comprehensive studies on impaired glucose tolerance(IGT),a diabetes mellitus(DM)precursor,are ***,we perform metagenomic sequencing and metabolomics on 47 pairs of individuals with IGT and newly diagnosed DM and 46 controls with normal glucose tolerance(NGT);patients with IGT are followed up after 4 years for progression to *** of baseline data reveals significant differences in gut microbiota and serum metabolites among the IGT,DM,and NGT *** addition,13 types of gut microbiota and 17 types of circulating metabolites showed significant differences at baseline before IGT progressed to DM,including higher levels of Eggerthella unclassified,Coprobacillus unclassified,Clostridium ramosum,L-valine,L-norleucine,and L-isoleucine,and lower levels of Eubacterium eligens,Bacteroides faecis,Lachnospiraceae bacterium 3_1_46FAA,Alistipes senegalensis,Megaspaera elsdenii,Clostridium perfringens,α-linolenic acid,10E,12Z-octadecadienoic acid,and dodecanoic acid.A random forest model based on differential intestinal microbiota and circulating metabolites can predict the progression from IGT to DM(AUC=0.87).These results suggest that microbiome and metabolome dysbiosis occur in individuals with IGT and have important predictive values and potential for intervention in preventing IGT from progressing to DM.

关键词： Impaired glucose tolerance Diabetes mellitus Gut microbiota Metabolomics

The role of cell-free DNA in non-invasive diagnosis of urinary tract infection

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UroPrecision 2024年第2期2卷 41-50页

作者： Yu Zhao wenhui zhang Yina Ma Xin zhang Department of Urology Surgery Beijing Chao-Yang Hospital Affiliated to Capital Medical UniversityBeijingChina Department of Hepatobiliary Surgery Beijing Chao‐Yang Hospital Affiliated to Capital Medical UniversityBeijingChina

Urinary tract infection(UTI)constitutes a pervasive health *** are dichotomously classified into upper and lower strata,and further categorized as either complicated or *** UTIs predominantly afflict the renal and ureteral domains,typified by conditions exemplified in pyelonephritis,whereas lower UTIs manifest within the confines of the urethra and *** conventional diagnosis of UTIs relies upon clinical manifestations and urine *** symptoms encompass dysuria,frequent micturition,hematuria,and suprapubic *** culture serves to identify the specific pathogens instigating the infection and assess their antibiotic ***,this procedural protocol generally necessitates an approximate duration of 24 h,coupled with an additional 24-h interval for antibiotic susceptibility *** contradistinction,the detection of cell-free DNA(cfDNA)in the circulatory system presents a potential avenue for non-invasive diagnostic ***,cfDNA emanates from deteriorating cells,affording insights into the extant cellular demise within the *** scholarly inquiry has established a positive correlation between cfDNA concentration in the bloodstream and the incidence of cell death in conditions,such as severe traumas,sepsis,aseptic inflammation,myocardial infarction,and ***,limited investigative effort has been devoted to elucidating the diagnostic potential of cfDNA in the context of ***,the concentration and constitution of plasma cfDNA harbor substantial promise for non-invasively diagnosing *** summation,the utilization of cfDNA in UTI diagnosis remains an incipient area of scholarly pursuit,underscoring the imperative for further research to elucidate the prospective role of plasma cfDNA in non-intrusively discerning UTIs.

关键词： cell-free DNA diagnosis DNA methylation urinary tract infection

负载天然色素的生物基智能包装指示器研究进展

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食品科学技术学报 2024年第1期42卷 20-31页

作者：雷桥张文惠上海海洋大学食品学院上海201306 上海水产品加工及贮藏工程技术研究中心上海201306

智能包装指示器能够基于其检测、感知和记录产品环境变化的能力为消费者提供被包装食品新鲜度、安全性或食品环境条件(温度、pH值、气体氛围)等的有效信息,是传统包装传播信息能力的延伸,并且有助于改善危害分析与关键控制点(HACCP)和... 详细信息

智能包装指示器能够基于其检测、感知和记录产品环境变化的能力为消费者提供被包装食品新鲜度、安全性或食品环境条件(温度、pH值、气体氛围)等的有效信息,是传统包装传播信息能力的延伸,并且有助于改善危害分析与关键控制点(HACCP)和质量分析与关键控制点(QACCP)系统,有助于现场检测不安全食品,识别潜在的健康危害,并制定策略以减少或消除食品安全问题发生。生物基智能包装系统因采用可降解、可再生材料向消费者直观显示包装食品在供应链中的品质相关信息,契合循环经济和可持续发展的需求而备受关注。介绍了以天然色素(花青素、叶绿素、姜黄素和甜菜素等)为敏感元件,以生物基聚合物(多糖、蛋白质、脂质和改性纤维素等)为载体的环境友好型智能包装指示器(pH值感应、时间-温度感应、气体感应等)的类型、功能适应性及其在监控食品品质、储运环境等方面的新趋势、新进展。

关键词：智能包装生物基聚合物天然色素指示器食品保鲜

面向自动驾驶的公交车辆进出港湾式停靠站安全轨迹模型

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应用基础与工程科学学报 2024年第3期32卷 666-684页

作者：张文会张攀伊静东北林业大学土木与交通学院黑龙江哈尔滨150040

为研究公交车辆安全平稳进出港湾式停靠站的轨迹,提出适用于自动驾驶场景的进出站安全轨迹规划方法.基于阿克曼转向原理,构建车身4个顶点运动轨迹方程,针对站内无车和有车两种工况,建立避障约束、运动学约束及起终点位姿约束,选择五次... 详细信息

为研究公交车辆安全平稳进出港湾式停靠站的轨迹,提出适用于自动驾驶场景的进出站安全轨迹规划方法.基于阿克曼转向原理,构建车身4个顶点运动轨迹方程,针对站内无车和有车两种工况,建立避障约束、运动学约束及起终点位姿约束,选择五次多项式曲线作为公交车辆进出港湾式停靠站安全轨迹模型,采用线性规划和遗传算法标定模型参数,采用数值模拟得到车辆安全进出站轨迹,并利用实车道路实验验证模型的可行性.研究结果表明:五次多项式曲线适用于公交车辆进出港湾式停靠站安全轨迹,规划轨迹与实际运行轨迹平均绝对百分比误差(MAPE)不超过10%,提出的轨迹规划方法可为自动驾驶公交车辆安全可靠运行提供一定的理论依据.

关键词：交通工程公交车辆安全轨迹港湾式停靠站自动驾驶五次多项式遗传算法

Double-blinded,randomized clinical trial of Gegen Qinlian decoction pinpoints Faecalibacterium as key gut bacteria in alleviating hyperglycemia

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Precision Clinical Medicine 2024年第1期7卷 21-33页

作者： Zezheng Gao wenhui zhang Lisha He Han Wang Yufei Li Xiaotian Jiang Sha DI Xinmiao Wang Xuan zhang Lin Han Yanwen Liu Chengjuan Gu Mengyi Wu Xinhui He Lei Cheng Jun Wang Xiaolin Tong Linhua Zhao Institute of Metabolic Diseases Guang'anmen HospitalChina Academy of Chinese Medical SciencesBeijing 100053China Department of Endocrinology Guang anmen HospitalChina Academy of Chinese Medical SciencesBeijing 100053China CAS Key Laboratory of Pathogenic Microbiology and Immunology Institute of MicrobiologyChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China Chengdu University of Traditional Chinese Medicine Chengdu 611137China School of Chinese Materia Medica Beijing University of Chinese MedicineBeijing 100029China Centre for Evidence-Based Chinese Medicine Beijing University of Chinese MedicineBeijing 100029China Department of Endocrinology Affiliated Hospital of Changchun University of Chinese MedicineChangchun 13000oChina Biologicals Science and Technology Institute Baotou Teacher's CollegeBaotou 014030China Department of Endocrinology Zhengzhou T.C.M.HospitalZhengzhou 450007China Shenzhen Hospital Guangzhou University of Chinese Medicine(Futian)Shenzhen 518000China Department of Cardiology Guangdong Provincial Hospital of Chinese MedicineGuangzhou 510120China Department of Cardiology Yunnan Provincial Hospital of Traditional Chinese MedicineKunming 650000China Key Laboratory of Development and Application of Rural Renewable Energy Biogas Institute of Ministry of Agriculture and Rural AffairsChengdu 610041China

Background:Accumulating evidence suggests that metabolic disorders,including type 2 diabetes mellitus(T2DM),can be treated with traditional Chinese medicine formulas,such as the Gegen Qinlian decoction(GQD).This study elucidates the mechanisms by which gut microbes mediate the anti-diabetic effects of ***:We conducted a double-blind randomized clinical trial involving 120 untreated participants with *** the 12-week intervention,anthropometric measurements and diabetic traits were recorded every 4 *** microbiota and serum metabolites were measured before and after the intervention using 16S rDNA sequencing,liquid chromatography-mass spectrometry,and Bio-Plex ***:Anti-diabetic effects were observed in the GQD group in the human ***,glycated hemoglobin,fasting plasma glucose,and two-hour postprandial blood glucose levels were significantly lower in the GQD group than in the placebo ***,Faecalibacterium was significantly enriched in the GQD group,and the short-chain fatty acid levels were higher and the serum inflammation-associated marker levels were lower in the GQD group compared to the placebo ***,Faecalibacterium abundance negatively correlated with the levels of serum hemoglobin,fasting plasma glucose,and pro-inflammatory ***,the diabetes-alleviating effect of Faecalibacterium was confirmed by oral administration of Faecalibacterium prausnitzi(DSMZ 17677)in ***:GQD improved type 2 diabetes primarily by modulating the abundance of Faecalibacterium in the gut microbiota,alleviating metabolic disorders and the inflammatory state.

关键词： double-blinded randomized controlled trial type 2 diabetes mellitus Gegen Qinlian decoction Faecalibacterium metabolic disorders inflammation

基于空间自相关的常规城市公交车辆危险驾驶热点路段识别

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华南理工大学学报（自然科学版） 2024年第4期52卷 138-150页

作者：张文会刘拓宋雅靖苏嘉祺东北林业大学土木与交通学院黑龙江哈尔滨150040 比亚迪汽车工业有限公司商用车研究院广东深圳518118

为了获得公交危险驾驶状态的空间分布特征,采用空间自相关性分析方法,识别危险驾驶状态的空间集聚性,确定危险驾驶状态热点路段,并对显著性影响因素进行分析。首先,采集4个季度各1周公交车辆卫星定位数据样本,修复重复数据、异常数据和... 详细信息

为了获得公交危险驾驶状态的空间分布特征,采用空间自相关性分析方法,识别危险驾驶状态的空间集聚性,确定危险驾驶状态热点路段,并对显著性影响因素进行分析。首先,采集4个季度各1周公交车辆卫星定位数据样本,修复重复数据、异常数据和缺失数据,并以公交站点为节点划分空间区段,对每个区段进行编号;接着,将速度过快、急加速、急减速和急转弯确定为危险驾驶状态,参照车辆运动学特性获得4种危险驾驶状态阈值,并计算4种危险驾驶状态的统计学指标和全局莫兰指数,结果表明,公交车辆危险驾驶状态具有空间集聚性(空间随机分布概率p2.58),速度过快状态(全局莫兰指数为0.731)的空间集聚性最为显著;然后,分别对4种危险驾驶状态进行局部空间自相关性分析,绘制了90%、95%和99%置信度下的莫兰散点图和Lisa集聚图,结合城市地图,获得危险驾驶状态的热点路段;最后,选取路段长度、车道数、平直度等9个指标,对比分析了OLS模型、SLE模型、SEM模型和SDM模型的拟合优度,采用SDM模型获得4种危险驾驶状态的显著性影响因素。文中研究结果可为公交车辆危险驾驶状态空间识别、精细化安全运行管理提供理论依据。

关键词：交通运输工程公交车辆运行安全热点路段空间自相关

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羧酸端基Y型全氟聚醚的氟谱解析及结构表征

化工学报 2024年第4期75卷 1718-1723页

作者：张文惠唐茹意崔希利邢华斌浙江大学化学工程与工业生物工程学院浙江杭州310027 浙江大学杭州国际科创中心浙江杭州311200

全氟聚醚及其衍生物(PFPEs)是一类高附加值的含氟聚合物,特异的理化性质使其具有较好的商业前景。目前国内相关产品严重依赖进口,对PFPEs的研究比较缺乏,尤其对Y型PFPEs的研究非常少,亟需加强对相关领域的开发和研究。核磁共振氟谱(^(19... 详细信息

全氟聚醚及其衍生物(PFPEs)是一类高附加值的含氟聚合物,特异的理化性质使其具有较好的商业前景。目前国内相关产品严重依赖进口,对PFPEs的研究比较缺乏,尤其对Y型PFPEs的研究非常少,亟需加强对相关领域的开发和研究。核磁共振氟谱(^(19)F NMR)是解析PFPEs结构的重要技术,但由于技术封锁、制备困难等原因,有关Y型PFPE羧酸(PFPE-CA)的^(19)F NMR谱图解析尚不完善。本研究采用合适的制样条件,得到了清晰的Y型PFPE-CA的^(19)F NMR谱图,并对主链和端基中不同化学环境的F原子化学位移进行归属。对谱峰进行积分可计算活性混合物的组成以及样品的数均分子量。该分析方法准确、快捷,可为Y型PFPEs的生产及分离技术的突破提供研究基础。

关键词：全氟聚醚羧酸 Y型结构解析聚合物电子材料