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132 results on '"Hu, Changfeng"'

4. Analysis of Urban Rail Resistance Braking System and IGBT Loss Evaluation

Author

Hu, Changfeng, Qin, Jianhui, Zhu, Ting, Peng, Peng, Wang, Ziqiang, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Liang, Jianying, editor, Liu, Zhigang, editor, Diao, Lijun, editor, and An, Min, editor

Published
2022
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7. Lipidomics Analysis Deepen Understanding the Molecular Mechanisms in a Gouty Model Induced by Combination of MSU Crystals Injection and High-Fat Diet Feeding and the Intervention Mechanisms of Allopurinol

Author

Li,Dianming, Shi,Weiman, Hu,Changfeng, Wen,Chengping, Huang,Lin, Wang,Qiao, Li,Dianming, Shi,Weiman, Hu,Changfeng, Wen,Chengping, Huang,Lin, and Wang,Qiao

Abstract

Dianming Li,1,* Weiman Shi,1,* Changfeng Hu,1,2 Chengping Wen,1,2 Lin Huang,1,2 Qiao Wang1,2 1College of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou City, People’s Republic of China; 2Key Laboratory of Chinese Medicine Rheumatology of Zhejiang Province, Hangzhou City, People’s Republic of China*These authors contributed equally to this workCorrespondence: Lin Huang; Qiao Wang, College of Basic Medical Sciences, Key Laboratory of Chinese medicine rheumatology of Zhejiang Province, Zhejiang Chinese Medical University, Hangzhou City, Zhejiang Province, People’s Republic of China, Tel +86 571-86613587, Email huanglin@zcmu.edu.cn; wangqiao0309@163.comBackground: Gouty arthritis (GA) is a common inflammatory disease caused by deposition of monosodium urate (MSU) crystals in diarthrodial joints. GA attacks commonly involved in joint with red, swollen, heat and pain, and often happened in unilateral foot-first metatarsophalangeal. Accumulated studies have proved that lipids play critical roles in biological processes and lipids biomarkers can substitute for the diagnosis of various diseases.Methods: Herein, shotgun lipidomics was used to quantitatively analyze serum lipidomes of a gouty model which was induced by injecting MSU crystals and feeding high-fat diet with/without treatment with allopurinol. Meanwhile, ELISA kit was used to detect mouse serum levels of inflammatory cytokines (eg, tumor necrosis factor-α, interleukin 1 beta) and HE staining was used to observe the infiltration of inflammatory cells in the foot pad.Results: A total of 9 types of serum lipids were detected in lipidomics by shotguns, and the result of NMDS’ analysis demonstrated significant differences in lipids profiles between the control and model group. It is worth noting that lipid abnormality in GA (such as Ceramide (Cer), sphingomyelin (SM), 4-hydroxyalkenals (HNE), phosphatidylinositol (PI), ethanolamine glycerophospholipid (PE), etc.)

Published
2024

24. RECOGNITION AND AVOIDANCE OF ION SOURCE‐GENERATED ARTIFACTS IN LIPIDOMICS ANALYSIS.

Author

Hu, Changfeng, Luo, Wenqing, Xu, Jie, and Han, Xianlin

Subjects
*ARCHAEOLOGY methodology, *DAUGHTER ions, *ION sources, *SENSITIVITY & specificity (Statistics), *MASS spectrometry
Abstract

Lipid research is attracting more and more attention as various key roles and novel biological functions of lipids have been demonstrated and discovered in the organism. Mass spectrometry (MS)‐based lipidomics approaches are the most powerful and effective tools for analysis of cellular lipidomes with very high sensitivity and specificity. However, the artifacts generated from in‐source fragmentation are always present in all kinds of ion sources, even soft ionization techniques (i.e., electrospray ionization and matrix‐assisted laser desorption/ionization [MALDI]). These artifacts can cause many problems for lipidomics, especially when the fragment ions correspond to/are isomeric species of other endogenous lipid species in complex biological samples. These commonly observed artifacts could lead to misannotation, false identification, and consequently, incorrect attribution of phenotypes, and will have negative impact on any MS‐based lipidomics research including but not limited to biomarker discovery, drug development, etc. Liquid chromatography‐MS, shotgun lipidomics, and MALDI‐MS imaging are three representative lipidomics approaches in which ion source‐generated artifacts are all manifested and are comprehensively summarized in this article. The strategies on how to avoid/reduce the artifacts of in‐source fragmentation on lipidomics analysis are also discussed in detail. We believe that with the recognition and avoidance of ion source‐generated artifacts, MS‐based lipidomics approaches will provide better accuracy on comprehensive analysis of biological samples and will make greater contribution to the research on metabolism and translational/precision medicine (collectively termed functional lipidomics). © 2020 John Wiley & Sons Ltd. Mass Spec Rev [ABSTRACT FROM AUTHOR]

Published
2022
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26. Optimization of technology for dietary fiber extraction from Maixiansan by response surface methodology

Author

Lv Hui-qing, Hu Changfeng, Zhong Hai-ping, Zheng Hong-bin, and Wen Chengping

Subjects
Other systems of medicine, RZ201-999
Abstract

Abstract Background Our study aims to determine whether response surface methodology can optimize the extraction of dietary fiber from Maixiansan. Methods A Box–Behnken design was employed to optimize the extraction parameters, including α-amylase concentration (X1: 0.3 – 0.5%), enzymolysis time (X2: 30 – 60 min) and NaOH content (X3: 1.0 – 5.0%), of dietary fiber from Maixiansan using an enzyme–alkali extraction technique. Results The optimal technological conditions were as follows: α-amylase concentration: 0.4%; enzymolysis time: 45 min; NaOH content: 4.0%. Under these conditions, the extraction yield reached 57.14%, which was well consistent with the predicted models with a coefficient of determination (R2) of 0.9818. An evaluation of the anti-inflammatory activity indicated that Maixiansan was able to significantly inhibit dextran sodium sulfate-induced ulcerative colitis in rats by increasing the concentration of short-chain fatty acids (acetate, propionate and butyrate), among which the butyrate content was significantly higher in the Maixiansan group than in the other groups. Conclusion Our experiments showed that response surface methodology can optimize the extraction of dietary fiber from Maixiansan. Maixiansan could be explored as an anti-ulcerative colitis agent.

Published
2012
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36. Correction to: Quantitative metagenomics reveals unique gut microbiome biomarkers in ankylosing spondylitis

Author

Wen, Chengping, primary, Zheng, Zhijun, additional, Shao, Tiejuan, additional, Liu, Lin, additional, Xie, Zhijun, additional, Le Chatelier, Emmanuelle, additional, He, Zhixing, additional, Zhong, Wendi, additional, Fan, Yongsheng, additional, Zhang, Linshuang, additional, Li, Haichang, additional, Wu, Chunyan, additional, Hu, Changfeng, additional, Xu, Qian, additional, Zhou, Jia, additional, Cai, Shunfeng, additional, Wang, Dawei, additional, Huang, Yun, additional, Breban, Maxime, additional, Qin, Nan, additional, and Ehrlich, Stanislav Dusko, additional

Published
2017
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39. Quantitative metagenomics reveals unique gut microbiome biomarkers in ankylosing spondylitis

Author

Wen, Chengping, primary, Zheng, Zhijun, additional, Shao, Tiejuan, additional, Liu, Lin, additional, Xie, Zhijun, additional, Le Chatelier, Emmanuelle, additional, He, Zhixing, additional, Zhong, Wendi, additional, Fan, Yongsheng, additional, Zhang, Linshuang, additional, Li, Haichang, additional, Wu, Chunyan, additional, Hu, Changfeng, additional, Xu, Qian, additional, Zhou, Jia, additional, Cai, Shunfeng, additional, Wang, Dawei, additional, Huang, Yun, additional, Breban, Maxime, additional, Qin, Nan, additional, and Ehrlich, Stanislav Dusko, additional

Published
2017
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