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Metabolic profiling of endogenous bile acids:a novel method to assess hepatoprotective effect of Tanreqing capsule on carbon-tetrachloride-induced liver injury in rats

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Chinese Journal of Natural Medicines 2018年第4期16卷 271-283页

作者： XU Ying ZHONG ping-ping TAO yan-yan Shanghai Kaibao Pharmaceutical Co. Ltd.Shanghai 201401China School of Pharmacy Shanghai University of Traditional Chinese MedicineShanghai 201203China Institute of Liver Diseases Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese MedicineShanghai201203China Shanghai Clinical Key Laboratory of Traditional Chinese Medicine Shanghai 201203China

Tanreqing(TRQ), a traditional Chinese medicine(TCM) formula, can alleviate liver injury and improve liver function. Its pharmacological mechanisms of actions are still unclear due to its complex components and multi-target natures. Metabolomic study is an effective approach to investigating drug pharmacological actions, new diagnostic markers, and potential mechanisms of actions. In the present study, a new strategy was used to evaluate the protective effect of TRQ capsule against carbon tetrachloride(CCl_4)-induced hepatotoxicity in rats, by analyzing metabolic profiling of endogenous bile acids(BAs) along with biochemical and histological analyses. BAs concentrations were determined by ultra-performance liquid chromatography coupled with quadrupole mass spectrometry(UPLC-MS). Principal component analysis and partial least squares discriminant analysis were then employed to analyze the UPLC-MS results and compare the hepatoprotective effect of TRQ capsule in different groups at the doses of 0.36, 1.44, and 2.88 g·kg^(-1) body weight, respectively. Moreover, our results suggested that taurocholic acid(TCA) and taurohyodesoxycholic acid(THDCA) were the most important biochemical markers, which were indicative of CCl_4-induced acute hepatic damage and hepatoprotective effect of TRQ capsule. Therefore, this new strategy would be an excellent alternative method for evaluating hepatoprotective effect and proposing potential mechanisms of action for other drugs as well.

关键词： Metabolic profiling Bile acids Hepatoprotective effect Tanreqing capsule UPLC-MS

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Boundedness of the Commutator of marcinkiewicz Integral with Rough Variable Kernel

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Acta mathematica Sinica,English Series 2009年第6期25卷 983-1000页

作者： yan ping CHEN Department of mathematics and Mechanics Applied Science School University of Science and Technology of Beijing Beijing 100083 P. R. China

In this paper the author proves that the commutator of the marcinkiewicz integral operator with rough variable kernel is bounded from the homogeneous Sobolev space Lγ^2（R^n） to the Lebesgue space L^2（R^n）, which ... 详细信息

关键词： commutator marcinkiewicz integral variable kernel BMO Sobolev space spherical harmonic function

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Editorial for special issue on USTB-RWTH Aachen’s 40 years of collaboration

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International Journal of Minerals,Metallurgy and materials 2021年第5期28卷 739-740页

作者： yan-ping Bao State Key Laboratory of Advanced Metallurgy University of Science and Technology BeijingBeijing 100083China

The year of 2019 is the 40th anniversary of the signing of the inter-school collaboration agreement between University of Science and Technology Beijing(USTB)and RWTH Aachen *** is also the first friendly inter-school collaboration agreement signed between domestic universities and foreign universities after China's reform and *** order to commemorate this important historical event,the special academic issue is published in International Journal of Minerals,Metallurgy and materials after friendly negotiation between RWTH Aachen and USTB.

关键词： collaboration universities friendly

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An Improved Grasshopper Optimization Algorithm for Global Optimization

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Chinese Journal of Electronics 2021年第3期30卷 451-459页

作者： yan yan ma Hongzhong LI Zhendong College of Energy and Electrical Engineering Nanjing Hohai University Collaborative Innovation Center for Ningxia Big Data and Artificial Intelligence Co-founded by Ningxia Municipality and Ministry of Education Ningxia University School of Information Engineering Ningxia University

We proposes an improved grasshopper algorithm for global optimization problems. Grasshopper optimization algorithm(GOA) is a recently proposed meta-heuristic algorithm inspired by the swarming behavior of grasshoppers. The original GOA has some drawbacks,such as slow convergence speed, easily falling into local optimum, and so on. To overcome these shortcomings, we proposes a grasshopper optimization algorithm based on a logistic Chaos maps opposition-based learning strategy and cloud model inertia weight(CCGOA). CCGOA is divided into three stages. The chaos opposition learning initialization strategy is used to initialize the population,so that the population can be evenly distributed in the feasible solution space as much as possible, so as to improve the uniformity and diversity of the initial population distribution of the grasshopper algorithm. The inertia weight cloud model is introduced into the grasshopper algorithm, and different inertia weight strategies are used to adjust the convergence speed of the algorithm. Based on the principle of chaotic logistic maps, local depth search is carried out to reduce the probability of falling into local optimum. Fourteen benchmark functions and an engineering example are used for simulation *** results show that the proposed CCGOA algorithm has superior performance in determining the optimal solution of the test function problem.

关键词： initial population distribution initialization strategy inertia weight cloud model inertia weight strategies improved grasshopper optimization algorithm CCGOA algorithm search problems particle swarm optimisation global optimization problems convergence meta-heuristic algorithm learning (artificial intelligence) cloud model inertia weight logistic chaos maps opposition-based learning strategy optimal solution chaos

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烟曲霉外排泵唑类耐药研究进展

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医学分子生物学杂志 2025年第1期22卷 97-100页

作者：王娟马彦山西医科大学第二医院皮肤性病科太原市030001

烟曲霉是一种广泛存在于自然界的机会性病原体,可引起侵袭性曲霉病,在免疫功能低下的患者中死亡率很高。三唑类药物是侵袭性曲霉病的一线治疗药物,然而近年来全球范围内烟曲霉唑类耐药分离株不断增多,极大地威胁到患者的生命健康。外排... 详细信息

烟曲霉是一种广泛存在于自然界的机会性病原体,可引起侵袭性曲霉病,在免疫功能低下的患者中死亡率很高。三唑类药物是侵袭性曲霉病的一线治疗药物,然而近年来全球范围内烟曲霉唑类耐药分离株不断增多,极大地威胁到患者的生命健康。外排泵由跨膜蛋白质组成,可以将不需要的物质排出细胞,对微生物的存活有着重要的保护作用,与此同时,研究表明它还介导了微生物的耐药。文章综述了近年来关于烟曲霉药物外排泵的功能及调控机制的研究进展,为深入理解烟曲霉耐药机制及筛选抗烟曲霉感染药物新靶点提供理论基础。

关键词：烟曲霉耐药外排泵

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Photocaged prodrug under NIR light-triggering with dual-channel fluorescence: in vivo real-time tracking for precise drug delivery

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Science China Chemistry 2018年第10期61卷 1293-1300页

作者： Zhiqian Guo Yaguang ma Yajing Liu Chenxu yan ping Shi He Tian Wei-Hong Zhu Key Laboratory for Advanced materials and Institute of Fine Chemicals Shanghai Key Laboratory of Functional Materials Chemistry School of Chemistry and Molecular Engineering East China University of Science and Technology State Key Laboratory of Bioreactor Engineering East China University of Science and Technology

Light-triggered drug delivery system is an effective strategy for precise diagnosis and therapy in cancer treatment. However, it suffers from difficultly balancing the dosimetry of drug with light dose and a lack of in vivo models for validating their clinical benefits. Here we report an unprecedented near-infrared(NIR) light photocaged cyanine-based prodrug Cy-CPT-Biotin with dual-channel fluorescence mode, enabling NIR light to precisely regulate where, when and how the intact and active prodrugs are delivered. The synergy of photochemical reaction and modulation in π-conjugated polyene backbone of cyanine can fully perform distinct dual-channel fluorescence changes in a NIR light-mediated manner. The prodrug has striking characteristics of excellent tumor-targeting ability, real-time monitoring of the in vivo behaviors by dual-channel mode and NIR-light triggering,especially for achieving fine regulation and on-demand drug release in the precise dosimetry of drug with light dose in living animals. This optical orthogonality strategy that conjuncts with NIR light-triggered and dual-channel fluorescence in vivo imaging provides a powerful tool for in vivo real-time tracking and finely tuning the prodrug release for precise drug delivery.

关键词： near-infrared cyaninc dye dual-channel fluorescence drug-release photocage tumor targeting

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A Simple and Efficient Copper（Ⅱ） Complex as a Catalyst for N-Arylation of Imidazoles

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Chinese Journal of Chemistry 2013年第2期31卷 267-270页

作者： yanli Jiao Nannan yan Jianwei Xie Xiaowei ma ping Liu Bin Dai School of Chemistry and Chemical Engineering the Key Laboratory for Green Processing of Chemical Engineering of Xinjiang Bingtuan Shihezi University North 4th Road Shihezi Xinjiang 832003 China

Four inexpensive and air-/moisture-stable pyrrolecarbaldiminato-Cu complexes 1-4 were synthesized and evaluated to be a novel class of catalysts for the N-arylation of imidazoles with aryl halides. A variety of aryl iodides, bromides and activated aryl chlorides underwent the coupling with imidazoles, promoted by the catalyst 4, in moderate to good yields without the protection by an inert gas.

关键词： pyrrolecarbaldiminato-Cu complexes homogeneous catalyst N-arylation imidazoles N-heterocycles

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Stabilization of Pattern in Complex Ginzburg-Landau Equation with Spatial Perturbation Scheme

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Communications in Theoretical Physics 2008年第6期49卷 1541-1546页

作者： ma Jun YI Ming ZHANG Li-ping JIN Wu-Yin LI yan-Long School of Sciences Lanzhou University of Technology Lanzhou 730050 China Department of Physics and Institute of Biophysics Central China Normal University Wuhan 430079 China College of Mechano-Electronic Engineering Lanzhou University of Technology Lanzhou 730050 China

In this paper, a new scheme of spatial perturbation is proposed to stabilize the pattern in the oscillatory media, which could be described with the complex Ginzburg-Landau equation. The numerical simulation results confirm that the spiral wave, antispiral wave and spatiotemporal chaos in the complex Ginzburg-Landau equation could be suppressed, and the scheme is also discussed with the conservative field theory. Furthermore, the spatiotemporal noise is also introduced into the whole media, it just confirms that it is robust to the spatiotemporal noise.

关键词： spiral wave antispiral wave spiral turbulence spatial perturbation

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Synthesis of Terphenyl Derivatives by Pd-Catalyzed Suzuki-Miyaura Reaction of Dibromobenzene Using 2N20-Salen as a Ligand in Aqueous Solution

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Chinese Journal of Chemistry 2015年第10期33卷 1189-1193页

作者： Ningning Gu Yashuai Liu ping Liu Xiaowei ma Liu yan Bin Dai School of Chemistry and Chemical Engineering Key Laboratory for Green Processing of Chemical Engineering of Xinjiang Bingtuan Shihezi University Shihezi Xinjiang 832003 China

A simple and efficient catalytic system for Na2PdC14 catalyzing the Suzuki-Miyaura reaction of dibromoben- zene and arylboronic acid has been developed by using 2N2O-salen as a ligand in H2O/EtOH （V ： V=4 ： 1） at 100 ℃. Using this method, the reactions of substrates containing sterically demanding ortho substituents （e.g. dibromo- benzene and/or arylboronic acids） proceeded efficiently, with the corresponding terphenyl derivatives being pro- duced in moderate to excellent yields. Furthermore, this method offers interesting features for the multi-gram scale synthesis of terphenyl compound.

关键词： terphenyls synthesis 2N2O-salen palladium catalyze Suzuki-Miyaura reaction

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Multi-label learning algorithm with SVM based association

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High Technology Letters 2019年第1期25卷 97-104页

作者： Feng Pan Qin Danyang Ji ping ma Jingya Zhang yan yang Songxiang Key Laboratory of Electronic and Communication Engineering Heilongjiang University School of Electronics and Information Engineering Harbin Institute of Technology

Multi-label learning is an active research area which plays an important role in machine learning. Traditional learning algorithms, however, have to depend on samples with complete labels. The existing learning algorithms with missing labels do not consider the relevance of labels, resulting in label estimation errors of new samples. A new multi-label learning algorithm with support vector machine(SVM) based association(SVma) is proposed to estimate missing labels by constructing the association between different labels. SVma will establish a mapping function to minimize the number of samples in the margin while ensuring the margin large enough as well as minimizing the misclassification probability. To evaluate the performance of SVma in the condition of missing labels, four typical data sets are adopted with the integrity of the labels being handled manually. Simulation results show the superiority of SVma in dealing with the samples with missing labels compared with other models in image classification.

关键词： multi-label learning missing labels association support vector machine(SVM)

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