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feng chen's work on translational and clinical imaging

World Journal of Radiology 2011年第4期3卷 120-124页

作者： feng chen, Section of Radiology, Department of Medical Diagnostic Sciences, Faculty of Medicine, University of Leuven, 3000 Leuven, Belgium feng chen, Molecular Small Animal Imaging Center, University of Leuven, 3000 Leuven, Belgium feng chen, Department of Radiology, Zhong Da Hospital, South-east University, Nanjing 210009, Jiangsu Province, China feng chen Section of Radiology Department of Medical Diagnostic Sciences Faculty of Medicine University of Leuven 3000 Leuven Belgium.

Dr. feng chen is a chief medical doctor and the vice chairman of the Department of Radiology in Zhong Da Hospital at Southeast University, Nanjing, China and a senior researcher in the Department of Radiology at the Catholic University of Leuven, Belgium. His main areas of interest are translational imaging research including stroke, tumor angiogenesis, assessment of therapeutic response in solid tumors, and magnetic resonance contrast media. Dr. feng chen has published 44 scientific papers in peer-reviewed international journals. He and his colleagues have developed an imaging platform which includes animal models, animal preparations and multiparametric magnetic resonance imaging (MRI) protocols for translational animal imaging research using clinical machines. His MRI findings on rodent stroke are considered to "serve as a model for future laboratory investigations of treatment of acutestroke and unify the approaches developed for clinical studies". He and his colleagues have introduced a novel liver tumor model in rodents, in which a series of studies concerning the antitumor activity of vascular disrupting agents have been successively conducted and assessed by in vivo MRI, especially by diffusion weighted imaging as an imaging biomarker. His goal is to provide valuable references for clinical practice and to contribute to the translation of animal imaging research into patient applications.

关键词： Animal study Contrast agent Magnetic res- onance imaging Therapeutic assessment Translational research Tumor angiogenesis Tumor therapy Vascular disrupting agent

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Effect of the Fu Zheng Method Applied by Hong-feng chen on the Quality of Life in TNBC Patients and Empirical Research Based on Data Mining

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Digital Chinese Medicine 2018年第4期1卷 272-279页

作者： Yu-Zhu ZHANG Yue ZHOU Bai-Ling SHI Hong-feng chen Li-Juan CHE Shanghai University of Traditional Chinese Medicine Shanghai 201203China Longhua Hospital Shanghai University of Traditional Chinese MedicineShanghai 200032China

Objective To preliminarily evaluate the efficacy of the Fu Zheng method(supporting resistance against pathogenic factors)applied by Professor Hong-feng chen in improving the quality of life in patients with triple-negative breast cancer(TNBC)to collect and organize the traditional Chinese medicine(TCM)formulas applied by Professor Hong-feng chen in the treatment of TNBC in order to explore the patterns in *** The Functional Assessment of Cancer Therapy-Breast scale(FACT-B V4.0)were collected before and after treatment;the database and data mining platform for prescribed TCM formulas were constructed using Microsoft SQL Server 2005,and the patterns in drug pairing and combination were summarized by correlation analysis of data *** The formulas improved the mean scores of the patients’physical well-being,social/family well-being,emotional well-being,physical function well-being and additional concerns(Pfeng chen were *** The TCM formulas applied by Professor Hong-feng chen can alleviate adverse physiological reactions,improve psychological conditions and improve function in *** formulas take spleen invigoration and stomach nourishment as well as blood circulation promotion and stagnation dissipation as the therapeutic principles,with simplicity in prescription and focus on care and protection the foundation of acquired constitution.

关键词： Triple-negative breast cancer Data mining Traditional Chinese medicine formulas Quality of life Hong-feng chen

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Hypoxia-preconditioned bone marrow-derived mesenchymal stem cells protect neurons from cardiac arrest-induced pyroptosis

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Neural Regeneration Research 2025年第4期20卷 1103-1123页

作者： Xiahong Tang Nan Zheng Qingming Lin Yan You Zheng Gong Yangping Zhuang Jiali Wu Yu Wang Hanlin Huang Jun Ke feng chen Shengli Clinical Medical College of Fujian Medical University Fujian Medical UniversityFuzhouFujian ProvinceChina Department of Emergency Fujian Provincial HospitalFuzhouFujian ProvinceChina Fujian Provincial Key Laboratory of Emergency Medicine FuzhouFujian ProvinceChina The Second Department of Intensive Care Unit Fujian Provincial Hospital South BranchFuzhouFujian ProvinceChina

Cardiac arrest can lead to severe neurological impairment as a result of inflammation,mitochondrial dysfunction,and post-cardiopulmonary resuscitation neurological *** preconditioning has been shown to improve migration and survival of bone marrow–derived mesenchymal stem cells and reduce pyroptosis after cardiac arrest,but the specific mechanisms by which hypoxia-preconditioned bone marrow–derived mesenchymal stem cells protect against brain injury after cardiac arrest are *** this end,we established an in vitro co-culture model of bone marrow–derived mesenchymal stem cells and oxygen–glucose deprived primary neurons and found that hypoxic preconditioning enhanced the protective effect of bone marrow stromal stem cells against neuronal pyroptosis,possibly through inhibition of the MAPK and nuclear factor κB ***,we transplanted hypoxia-preconditioned bone marrow–derived mesenchymal stem cells into the lateral ventricle after the return of spontaneous circulation in an 8-minute cardiac arrest rat model induced by *** results showed that hypoxia-preconditioned bone marrow–derived mesenchymal stem cells significantly reduced cardiac arrest–induced neuronal pyroptosis,oxidative stress,and mitochondrial damage,whereas knockdown of the liver isoform of phosphofructokinase in bone marrow–derived mesenchymal stem cells inhibited these *** conclude,hypoxia-preconditioned bone marrow–derived mesenchymal stem cells offer a promising therapeutic approach for neuronal injury following cardiac arrest,and their beneficial effects are potentially associated with increased expression of the liver isoform of phosphofructokinase following hypoxic preconditioning.

关键词： bone marrow–derived mesenchymal stem cells cardiac arrest cardiac resuscitation hypoxic preconditioning liver isoform of phosphofructokinase mitochondria neuroinflammation oxidative stress pyroptosis reactive oxygen species

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三七治疗骨关节炎机制:基于UHPLC-QE-MS、网络药理学及分子动力学模拟

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中国组织工程研究 2025年第8期29卷 1751-1760页

作者：陈跃平陈锋彭清林陈荟伊董盼锋广西中医药大学附属瑞康医院广西壮族自治区南宁市530011 广西中医药大学广西壮族自治区南宁市530200 哈尔滨医科大学黑龙江省哈尔滨市150086

背景:课题组前期研究发现三七能够修复骨细胞的形态结构,对于治疗骨关节炎具有良好的应用前景,但目前对于三七的具体作用机制尚不清楚。目的:采用超高效液相色谱-四极杆-静电场轨道阱串联质谱(ultra-high performance liquid chromatogr... 详细信息

背景:课题组前期研究发现三七能够修复骨细胞的形态结构,对于治疗骨关节炎具有良好的应用前景,但目前对于三七的具体作用机制尚不清楚。目的:采用超高效液相色谱-四极杆-静电场轨道阱串联质谱(ultra-high performance liquid chromatography-Q exactive-mass spectrometry,UHPLC-QE-MS)技术鉴定三七的主要成分,并结合网络药理学、分子对接和分子动力学模拟探究三七治疗骨关节炎的作用机制。方法:利用UHPLC-QE-MS技术鉴定三七的主要成分后,运用TCMSP数据库筛选活性成分,通过TCMSP和Uniprot数据库查找活性成分靶点,通过疾病数据库筛选骨关节炎靶点。在药物靶点与疾病靶点取交集后,导入STRING数据库和Cytoscape软件构建蛋白互作网络筛选关键靶点,通过“活性成分-作用靶点”网络筛选关键活性成分。再对关键靶点进行富集分析,并对关键活性成分和关键靶点进行分子对接验证,最后选取结合能最低的结果进行分子动力学模拟。结果与结论:①在三七溶液中共鉴定出57种活性成分,成分靶点与疾病靶点交集50个,关键活性成分5个(槲皮素、熊脱氧胆酸、山奈酚、柚皮素和红藻氨酸),关键靶点5个(白细胞介素6、基质金属蛋白酶9、白细胞介素1β、白蛋白和趋化因子配体2);②基因本体功能富集642个条目,其中620个条目代表生物过程,21个条目代表分子功能,1个条目代表细胞成分;京都基因与基因组百科全书通路分析63条通路,主要涉及雌激素信号通路、白细胞介素17信号通路和高糖基化终末产物-高糖基化终末产物受体信号通路;③分子对接显示关键活性成分和关键靶点结合活性良好,分子动力学模拟提示槲皮素和基质金属蛋白酶9间的相互作用稳定;④对三七成分进行了较全面研究,初步阐明了其药效物质基础,预测三七可通过多组分、多靶点、多途径和多通路发挥抗炎、软骨保护和免疫调节作用来治疗骨关节炎。

关键词：三七骨关节炎分子动力学模拟质谱分子对接网络药理学

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Powers of General Digital Sums

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Acta Mathematica Sinica,English Series 2010年第6期26卷 1133-1138页

作者： feng Juan chen School of Mathematical Sciences Nanjing Normal University Nanjing 210046 P. R. China and Department of Mathematics Suzhou University Suzhou 215006 P. R. China

Let m0,m1,m2,…be positive integers with mi〉 2 for all i. It is well known that each nonnegative integer n can be uniquely represented as n= a0 ＋ a1m0＋a2m0m1＋…＋atm0m1m2…mt-1,where 0≤ai≤mi-1 for all i and at≠*** each fi be a function defined on {0,1,2…,mi-1} with fi（0）=*** S（n）=i=0∑tfi（ai）.In this paper, we give the asymptotic formula for x^-1∑n≤xS（n）^k,where k is a positive integer.

关键词： digital sum arithmetic function asymptotic formula

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Efficient Leave-One-Out Strategy for Supervised Feature Selection

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Tsinghua Science and Technology 2013年第6期18卷 629-635页

作者： Dingcheng feng feng chen Wenli Xu National Laboratory for Information Science and Technology Tsinghua University

Feature selection is a key task in statistical pattern recognition. Most feature selection algorithms have been proposed based on specific objective functions which are usually intuitively reasonable but can sometimes be far from the more basic objectives of the feature selection. This paper describes how to select features such that the basic objectives, e.g., classification or clustering accuracies, can be optimized in a more direct way. The analysis requires that the contribution of each feature to the evaluation metrics can be quantitatively described by some score function. Motivated by the conditional independence structure in probabilistic distributions, the analysis uses a leave-one-out feature selection algorithm which provides an approximate solution. The leave-one- out algorithm improves the conventional greedy backward elimination algorithm by preserving more interactions among features in the selection process, so that the various feature selection objectives can be optimized in a unified way. Experiments on six real-world datasets with different feature evaluation metrics have shown that this algorithm outperforms popular feature selection algorithms in most situations.

关键词： leave-one-out feature selection objectives evaluation metrics

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Comparative study of two lattice Boltzmann multiphase models for simulating wetting phenomena: implementing static contact angles based on the geometric formulation

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Applied Mathematics and Mechanics(English Edition) 2018年第4期39卷 513-528页

作者： feng YE Qinfeng DI Wenchang WANG feng chen Huijuan chen Shuai HUA Shanghai Institute of Applied Mathematics and Mechanics Shanghai University Shanghai Key Laboratory of Mechanics in Energy Engineering Shanghai University

Wetting phenomena are widespread in nature and industrial applications. In general, systems concerning wetting phenomena are typical multicomponent/multiphase complex fluid systems. Simulating the behavior of such systems is important to both scientific research and practical applications. It is challenging due to the complexity of the phenomena and difficulties in choosing an appropriate numerical method. To provide some detailed guidelines for selecting a suitable multiphase lattice Boltzmann model, two kinds of lattice Boltzmann multiphase models, the modified S-C model and the H-C-Z model, are used in this paper to investigate the static contact angle on solid surfaces with different wettability combined with the geometric formulation(Ding, H. and Spelt, P.D. M. Wetting condition in diffuse interface simulations of contact line motion. Physical Review E, 75(4), 046708(2007)). The specific characteristics and computational performance of these two lattice Boltzmann method(LBM) multiphase models are analyzed including relationship between surface tension and the control parameters, the achievable range of the static contact angle, the maximum magnitude of the spurious currents(MMSC), and most importantly, the convergence rate of the two models on simulating the static contact angle. The results show that a wide range of static contact angles from wetting to non-wetting can be realized for both models. MMSC mainly depends on the surface tension. With the numerical parameters used in this work, the maximum magnitudes of the spurious currents of the two models are on the same order of magnitude. MMSC of the S-C model is universally larger than that of the H-C-Z model. The convergence rate of the S-C model is much faster than that of the H-C-Z model. The major foci in this work are the frequently-omitted important details in simulating wetting phenomena. Thus, the major findings in this work can provide suggestions for simulating wetting phenomena with LBM multiphase

关键词： lattice Boltzmann method(LBM) wetting phenomenon static contact angle

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Ni_(x)Co_(1-x)S as an effective noble metal-free cocatalyst for enhanced photocatalytic activity of g-C_(3)N_(4)

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Journal of Materials Science & Technology 2020年第21期56卷 227-235页

作者： Yuting Gao feng chen Zhe chen Hongfei Shi School of Material Science and Technology Jilin Institute of Chemical TechnologyJilin132022China Jinlin Petrochemical Company Organic Synthetic Plants Jinlin132021China

Solar photocatalysis,as a method of green energy production and sustainable technology,has been regarded as one of the most effective strategies to resolve environmental issues and the current energy *** this work,intimate contact hollow Ni_(x)Co_(1-x)S polyhedron/g-C3N4 nanosheet composites were prepared in-situ through a facile one-step hydrothermal *** as-prepared Ni_(x)Co_(1-x)S/g-C_(3)N_(4) composites showed superior photocatalytic activity and high stability for H2 generation and methyl orange(MO)degradation under visible light *** optimized 4 wt.%Ni_(x)Co_(1-x)S/g-C_(3)N_(4) composite attained a maximum H2 evolution rate of 1420μmol g^–1 h^–1,which was about 157 times higher than that of pure *** addition,the Ni_(x)Co_(1-x)S/g-C_(3)N_(4) composite also exhibited greatly improved photocatalytic activity for dye degradation,which for MO was at 98.14%in 9 *** outstanding photocatalytic performance was predominantly attributed to the unique architecture of hollow Ni_(x)Co_(1-x)S polyhedrons,which not only provided more active sites at the edges and surface as convenient charge transfer channels,but also promoted the separation and transport of electron-hole *** work provides some novel ideas for the design and development of highly efficient noble metal-free cocatalyst/semiconductor systems for photocatalytic H2 generation and dye degradation.

关键词： Non-noble metal cocatalyst Ni_(x)Co_(1-x)S g-C_(3)N_(4) Photocatalytic hydrogen production Dye degradation

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Green Chemical Engineering

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Engineering 2017年第3期3卷 283-284页

作者： Jian-feng chen State Key Laboratory of Organic-lnorganic Composites College of Chemical Engineering Beifing University of Chemical Technology Beijing 100029 China

1. Introduction Green chemical engineering is regarded as one of the most effi- cient means of achieving sustainable development in chemical in- dustrial processes. It can be divided into two main categories： Green product engineering. Examples include the develop- ment of new catalysts and the development and use of renewa- ble resources （e.g., solar energy and biomass）.

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Effect of Ca^(2+) on CO_2 corrosion properties of X65 pipeline steel

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International Journal of Minerals,Metallurgy and Materials 2009年第6期16卷 661-666页

作者： chen Ding Ke-wei Gao Chang-feng chen Department of Materials Physics and Chemistry University of Science and Technology Beijing Beijing 100083 China Department of Materials China University of Petroleum Beijing 100083 China

The effect of Ca^2＋ on CO2 corrosion to X65 pipeline steel was investigated in the simulated stratum water of an oil field containing different concentrations of Ca^2＋. It is found that Ca^2＋ can enhance the corrosion rate, especially in the Ca^2＋ concentration from 256 to 512 mg/L, which can be attributed to the growing grain size and loosing structure of corrosion scales with increasing Ca^2＋ concentration. X-ray diffraction （XRD） and X-ray photoelectron spectroscopy （XPS） investigations reveal that a complex carbonate （Fe, Ca）CO3 forms at high Ca^2＋ concentration due to the gradual replacement of Fe^2＋ in FeCO3 by Ca^2＋.

关键词： CO2 corrosion: pipeline steel stratum water Ca^2+ concentration complex carbonate

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