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营养物质缓解水产动物镉胁迫的研究进展

动物营养学报 2024年第9期36卷 5486-5496页

作者：王妍范泽王连生程镇燕天津农学院水产学院天津市水产生态及养殖重点实验室天津300384 中国水产科学研究院黑龙江水产研究所黑龙江省水生动物病害与免疫重点实验室哈尔滨150070

重金属镉作为生物体内非必需的微量金属,是重金属中毒性最强的元素之一。目前,我国水产养殖业中镉污染问题十分严峻,水体中镉浓度的增加会对水产动物的生长性能、抗氧化能力、免疫力等产生影响,通过食物链间接对食品安全和人类健康造成... 详细信息

重金属镉作为生物体内非必需的微量金属,是重金属中毒性最强的元素之一。目前,我国水产养殖业中镉污染问题十分严峻,水体中镉浓度的增加会对水产动物的生长性能、抗氧化能力、免疫力等产生影响,通过食物链间接对食品安全和人类健康造成危害。目前,在饲料中添加营养物质是缓解水产动物镉胁迫的主要方式之一,涉及的营养物质主要包括微量元素、多糖、益生菌、酚类物质、维生素和含硫氨基酸等。本文综述了镉胁迫对水产动物的影响以及主要营养物质对镉胁迫的缓解作用,为通过添加营养物质来减少或消除镉胁迫对水产动物带来的负面影响提供参考,并为建立健康养殖技术提供更详细、更系统的科学依据。

关键词：水产动物镉胁迫微量元素多糖益生菌生长性能抗氧化

运用二维斑点追踪技术评估长新冠综合征患者早期亚临床心肌损害的研究

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南京医科大学学报（自然科学版） 2024年第2期44卷 185-190页

作者：赵迪张艳娟王连生刘加宝南京医科大学第一附属医院心血管内科江苏南京210029

目的:应用二维斑点追踪技术评价长新冠综合征患者早期亚临床心肌损害的应用价值。方法:在南京医科大学第一附属医院门诊连续入组2022年12月7日我国放开疫情管控后新冠感染患者59例作为观察组,选取新冠流行前门诊者60例作为健康对照组,... 详细信息

目的:应用二维斑点追踪技术评价长新冠综合征患者早期亚临床心肌损害的应用价值。方法:在南京医科大学第一附属医院门诊连续入组2022年12月7日我国放开疫情管控后新冠感染患者59例作为观察组,选取新冠流行前门诊者60例作为健康对照组,收集患者基本临床资料及心肌损伤标志物等化验指标,采用二维心超及二维斑点追踪技术(two⁃dimensional speckle tracking imaging,2D⁃STI)评估患者左室射血分数(left ventricular ejection fraction,LVEF)、左室舒张功能E/A、E/e’,左心室整体纵向应变(global longitudinal strain,GLS)及十八节段应变值,计算并比较各组间心率、LVEF、E/A、E/e’、GLS及十八节段应变值。结果:研究发现长新冠综合征患者的左室舒张功能E/A(1.14±0.34 vs.1.46±0.44,P<0.001)、E/e’(8.01±2.08 vs.7.21±1.53,P<0.05)及左室GLS[(-20.57±2.15)%vs.(-21.90±1.73)%,P<0.001]较健康对照组显著下降。进一步行十八节段应变分析发现新冠组患者主要表现为前间隔基底部、前壁中间部、前间隔中间部、下侧壁中间部、前侧壁中间部、前壁心尖部、前间隔心尖部、下壁心尖部、下侧壁心尖部和前侧壁心尖部等十个节段的显著降低(P<0.05)。通过感染后时间的亚组分析发现,随着新冠康复时间延长,患者GLS呈现逐渐改善趋势。结论:新冠后患者常出现左室舒张功能及GLS的下降。而随着新冠康复时间的延长,上述指标呈现逐渐改善趋势。应用2D⁃STI可以定量评估长新冠综合征患者早期亚临床心肌损害,可能为新冠患者的临床诊治提供一定依据。

关键词：新冠感染长新冠综合征二维斑点追踪技术左室整体纵向应变心脏功能

小球藻的营养价值及其在水产动物饲料中的应用

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饲料工业 2024年第6期45卷 7-13页

作者：熊斯微范泽张海涛王庆奎王连生王世迪天津农学院水产学院天津市水产生态与养殖重点实验室天津300384 中国水产科学研究院黑龙江水产研究所黑龙江省水生动物病害与免疫重点实验室黑龙江哈尔滨150070 广东恒兴饲料实业股份有限公司农业农村部华南水产与畜禽饲料重点实验室广东湛江524022 大连海洋大学水产与生命学院辽宁大连116023

小球藻(Chlorella)是一种单细胞绿藻,含有较高的蛋白质、多种矿物质和微量元素。在水产动物饲料中作为植物蛋白源,营养物质丰富且分布广泛,在促进鱼类生长、提高免疫力中发挥重要作用。饲料中添加小球藻可以替代部分鱼粉,提高营养价值... 详细信息

小球藻(Chlorella)是一种单细胞绿藻,含有较高的蛋白质、多种矿物质和微量元素。在水产动物饲料中作为植物蛋白源,营养物质丰富且分布广泛,在促进鱼类生长、提高免疫力中发挥重要作用。饲料中添加小球藻可以替代部分鱼粉,提高营养价值。近年来,随着微藻的大力推广,小球藻逐渐成为优质的饲料添加剂。文章简述了小球藻的营养组成、适宜添加水平以及对鱼类生长性能、消化能力、免疫和体色影响等。

关键词：小球藻营养肠道健康免疫研究进展

Leaching of vanadium from stone coal with sulfuric acid

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Rare Metals 2009年第1期28卷 1-4页

作者： wang Mingyu XIAO liansheng LI Qinggang wang Xuewen XIANG Xiaoyan School of Metallurgical Science and Engineering Central South University Changsha 410083 China

The effects of roasting, mass ratio of H2SO4 to stone coal, leaching temperature, liquid-to-solid ratio, grinding fineness of stone coal, and two-stage counter-current leaching on the vanadium leaching ratio were studied. The results show that the vanadium leaching ratio of roasted stone coal through two-stage counter-current leaching can reach 65.1% at the mass ratio of H2SO4 to stone coal of 20%, leaching temperature of 95℃, leaching time of 30 h, liquid-to-solid ratio of 1.1 mL·g^-1, and grinding fineness of 0.1 mm, which can serve as an experimental basis for the production of vanadium from stone coal.

关键词： stone coal vanadium sulfuric acid leaching

QSAR prediction of antagonistic activity of PCBs towards human PXR by using heuristic method and best subset modeling

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Science China Chemistry 2012年第7期55卷 1459-1466页

作者： ZHANG YiMing YANG XuShu SUN Cheng wang liansheng School of Basic Medical Sciences Nanjing Medical UniversityNanjing 210029China School of Pharmacy Nanjing Medical UniversityNanjing 210029China State Key Laboratory of Pollution Control and Resources Reuse School of Environment Nanjing UniversityNanjing 210093China

Polychlorinated biphenyls(PCBs) can antagonize human pregnane X receptor(hPXR) *** chemicals could pose a serious threat to the reproductive and developmental ability of *** quantitative structure activity relationship(QSAR) provides a promising method for the estimation of PCBs' antagonistic *** this investigation,a QSAR model was developed by using heuristic method and best subset modeling(r2 = 0.873,q2LOO=0.742).The built model was validated externally by splitting the original data set into training and prediction *** results of the model derived are as follows:r2 = 0.907,q2LOO=0.709,r2pred=0.676,suggesting developed QSAR model had good robustness and predictive *** applicability domain(AD) of the model was assessed by Williams *** antagonistic activity(?logKi) of 108 PCBs,which are unavailable by experiment at present,was predicted within the applicability domain of the *** critical structural features related to the activity of PCBs were identified.

关键词： polychlorinated biphenyls (PCBs) human pregnane X receptor (hPXR) heuristic method best subset modeling method quantitative structure-activity relationship (QSAR)

Prediction of gas chromatographic retention indices of organophosphorus compounds by holographic QSRR

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Chinese Science Bulletin 2009年第4期54卷 635-641页

作者： wang HaiYan ZHANG AiQian SUN Cheng wang liansheng State Key Laboratory of Pollution Control and Resources Reuse School of the Environment Nanjing UniversityNanjing 210093 China

A new molecular structure representation, molecular hologram, is employed to investigate the quantitative relationship between gas chromatographic retention indices and molecular structures for 41 methylesterified organophosphorus compounds (OPs). The quantitative structure-retention relationship (QSRR) model has been constructed for GC-RI of the selected OPs through partial least squares regression, which shows high statistical quality and predictive value with non-cross validation correlation coefficient r2 of 0.994, and cross validation correlation coefficient q2LOO values of 0.984. In order to verify the robustness and prediction capacity of the model, 30 OPs were randomly selected from the database as the training set, while the rest were used as the testing set. The result of PLS regressive analysis of the training set yields r2 of 0.995 and q2LOO of 0.982, suggesting the excellent ability to predict the GC-RIs of OPs in the testing set. Furthermore, the retention behavior of the compounds in GC stationary phase is discussed, and the effects of different groups on the OP side-chain in the interaction between OPs and the stationary phase are explored using HQSAR color code, which provides useful guideline for the retention rules of OPs and related compounds.

关键词：有机磷化合物分子全息图定量结构保留关系分子结构

Three-Dimensional Quantitative Structure-Activity Relationships of flavonoids and estrogen receptors based on docking

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Chinese Science Bulletin 2010年第15期55卷 1488-1494页

作者： WU Yang wang Yong ZHANG AiQian YU HongXia wang liansheng State Key Laboratory of Pollution Control and Resources Reuse School of Environment Nanjing University Nanjing 210093 China Shanghai Institute of Material Medical Shanghai 201203 China

Flavonoids are endocrine disrupting compounds that occur ubiquitously in foods of plant *** Three-Dimensional Quantitative Structure-Activity Relationships (3D-QSAR) model based on ligand-receptor docking is established between 20 flavonoids and estrogen receptor alpha (ERα),which may provide further theoretical basis for research on the relationship between flavones and *** molecular field analysis (CoMFA) was employed and the best results of cross-validation and non cross validation were 0.845 and 0.988,***,molecular similarity index analysis (CoMSIA) was employed and the results of cross-validation and non cross validation were 0.670 and 0.990,*** CoMFA/CoMSIA and docking results reveal the structural features for estrogen activity and key amino acid residues in binding pocket,and provide an insight into the interaction between the ligands and these amino acid residues.

关键词：三维定量构效关系雌激素受体α 类黄酮对接 CoMFA 氨基酸残基交叉验证基础

Back-propagation network improved by conjugate gradient based on genetic algorithm in QSAR study on endocrine disrupting chemicals

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Chinese Science Bulletin 2008年第1期53卷 33-39页

作者： JI Li wang XiaoDong YANG XuShu LIU ShuShen wang liansheng State Key Laboratory of Pollution Control and Resources Reuse School of Environment Nanjing University Nanjing 210093 China Key Laboratory of Yangtze River Water Environment Ministry of Education College of Environmental Science and Engineering Tongji University Shanghai 200092 China

Since the complexity and structural diversity of man-made compounds are considered, quantitative structure-activity relationships (QSARs)-based fast screening approaches are urgently needed for the assessment of the potential risk of endocrine disrupting chemicals (EDCs). The artificial neural net-works (ANN) are capable of recognizing highly nonlinear relationships, so it will have a bright applica-tion prospect in building high-quality QSAR models. As a popular supervised training algorithm in ANN, back-propagation (BP) converges slowly and immerses in vibration frequently. In this paper, a research strategy that BP neural network was improved by conjugate gradient (CG) algorithm with a variable selection method based on genetic algorithm was applied to investigate the QSAR of EDCs. This re-sulted in a robust and highly predictive ANN model with R2 of 0.845 for the training set, q2pred of 0.81 and root-mean-square error (RMSE) of 0.688 for the test set. The result shows that our method can provide a feasible and practical tool for the rapid screening of the estrogen activity of organic compounds.

关键词：化学药物内分泌人造神经网络遗传算法

Holographic QSAR of environmental estrogens

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Science China Chemistry 2005年第2期48卷 156-161页

作者： wang Xiaodong XIAO Qianfen CUI Shihai LIU Shushen YIN Daqiang wang liansheng State Key Laboratory of Pollution Control and Resources Reuse School of the Environment Nanjing University Nanjing 210093 China State Key Laboratory of Pollution Control and Resources ReuseSchool of the Environment Nanjing University Nanjing 210093 China State Key Laboratory of Pollution Control and Resources ReuseSchool of the Environment Nanjing University Nanjing 210093 China State Key Laboratory of Pollution Control and Resources ReuseSchool of the Environment Nanjing University Nanjing 210093 China State Key Laboratory of Pollution Control and Resources ReuseSchool of the Environment Nanjing University Nanjing 210093 China State Key Laboratory of Pollution Control and Resources ReuseSchool of the Environment Nanjing University Nanjing 210093 China

Experimental and epidemiological studies suggest that some man-made and natu- rally occurring chemicals related to the environment have the potential to interrupt normal func- tioning of the endocrine systems of humans and wildlife. These chemicals, termed EDCs (Endo- crine disrupting Chemicals), pose serious threats to the reproductive capability of humans and wildlife. Because of the structural diversity and various types, development of structure-based rapid screening methodologies is important and necessary for the assessment of the environ- mental pollutants. In this paper molecular hologram based QSAR models were developed with the combinatory application of partial least square (PLS) regression for a large diverse set of 105 environmental estrogens. Quantitatively predictive models were developed based on only mo- lecular structures, which can be used for the accurate prediction of estrogenicity to rapidly screen potential environmental endocrine disrupting chemicals.

关键词： EDCs, RBA, molecular hologram, QSAR, CoMFA.