• English Version  |  温医首页  |  加入收藏
中心主任
 当前位置: 中心首页 >> 中心概况 >> 中心主任
  • 高红昌

    职称:教授

    职务:温州医科大学科研实验中心主任

    联系电话:0577-86689748

    E-mail:  gaohc27@126.com

    课题组主页:http://nmrlab.yxy.wmu.edu.cn/index.htm

    研究方向:从事核磁共振技术及其在化学和生物医学等方面的应用研究

     

    学习经历

    1997-2001年毕业于华中科技大学理学、管理学,学士

    2001-2006中国科学院武汉物理与数学研究所获核磁共振波谱学,博士

     

    工作经历

    2006中科院上海药物研究所,博士后、副研究员

    2006-至今 温州医科大学教授、博士生导师

    2014-2015加拿大英属哥伦比亚大学(UBC),访问学者

    2016-至今 温州医科大学科技处,副处长

    2017-至今 温州医科大学代谢组学与医药核磁共振研究所 所长

     

    获奖情况

    浙江省“万人计划”科技创新领军人才

    浙江省医坛新秀卫生高层次人才

    浙江省卫生高层次创新人才

    浙江省中青年学科带头人

    浙江省新世纪151人才

    2014年浙江省科技进步二等奖

    2016年浙江省科技进步二等奖

    浙江省卫生厅科技二等奖

     

    社会职务

    《波谱学杂志》杂志社青年编委、

    国家自然科学基金和教育部长江学者通讯评审专家、

    科技部重点研发计划精准医学重点专项的会评专家。

     

    书籍出版

    高红昌,《大型分析仪器使用教程》,高等教育出版社,2014

    林丹,高红昌,《药学实验室安全教程》,高等教育出版社,2014

    应国清,易喻,高红昌《药物分离工程》浙江大学出版社,2011

     

    研究领域:

     

    一、基于代谢组学技术的肿瘤精准预测诊断方法的建立

    对于癌症,早期诊断能实现早发现,早治疗的目标,高红昌团队运用代谢组学技术在肝癌、肾癌、前列腺癌等早期诊断和分型研究方面已发表10余篇论文,被Nature Genetics, Cancer Research, Clinical Cancer Research等杂志正面引用。创新团队建立基于代谢组学技术的肾癌以及其它肾病评价体系,获得“2014年温州市科技进步二等奖“2014年浙江省科技进步二等奖

    二、发展代谢组学技术在神经疾病研究中的应用

    神经系统疾病严重影响患者的工作和生活,然而,病因仍不清楚。高红昌创新团队积极发展基于1H13C NMR代谢组学技术在神经系统疾病机制方面的研究,成果多次发表于Molecular Neurobiology。团队还在糖尿病脑病、帕金森病和阿尔兹海默病等致病机理方面发表20余篇论文。团队发展和证实了代谢组学分析技术运用于神经系统疾病研究领域的可行性,从代谢层面考察神经系统疾病的致病机理,为神经系统疾病研究提供新思路。

    三、基于代谢组学技术的中药质量和药效评价方法的建立

    由于中药其在疾病治疗方面的独特优势,在全球范围内受到广泛关注。中药成分复杂,需从整体考察其药理和药效机制。高红昌团队充分利用代谢组学技术对生物体整体代谢特征的反映,开展中药质量评价和药效机制等方面研究。创新团队基于NMR代谢组学,以中药多成分、多靶点为切入点,对温莪术药理机制和药效评价提供科学依据,该成果获得“2015年温州市科技进步二等奖 “2016年浙江省科技进步奖二等奖

     

    主持项目

    1.         省重点研发项目

    高发恶性肿瘤诊治新技术研究-基于人工智能和代谢表型的前列腺癌诊断新技术研发2019.01-2022.12198万)

    2.         国家自然科学基金

    基于核磁共振的代谢组学研究多脑区代谢通路参与帕金森病发生发展的机制 2018.01-2021.1254万)

    3.         中央支持地方高校发展专项

    肿瘤精准医学研究平台建设2017.01-2018.12500万)

    4.         温州医科大学“杰青优青培养工程”项目(第一批)2017.07-2021.06(200)

    5.         国家自然科学基金

    组合应用NMR代谢组学和生物医学技术研究阿尔茨海默病的分子机制及其与糖尿病脑病的代谢关联 2016.01-2019.1265+65万)

    6.         浙江省自然科学基金

    影响糖尿病脑病的特异性蛋白及药物靶点的探索性研究2014.01-2016.12 8万)

    7.         国家自然科学基金

    组合应用基于1H NMR的代谢组学和13C标记底物的13C NMR方法研究糖尿病脑病的代谢机制2012.1-2015.1260万)

    8.         浙江省重点科技创新团队项目(第一批)

    酸性成纤维细胞生长因子治疗糖尿病溃疡的动物实验研究2010.06-2013.0616万)

    9.         国家自然科学基金

    基于核磁共振的代谢组学方法在传统中药研究中的应用2008.01-2010.1218万)

     

     

    2013年以后发表主要论文

    1.          Zhao L, Dong M, Ren M, Li C, Zheng H, Gao H. Metabolomic Analysis Identifies Lactate as an Important Pathogenic Factor in Diabetes-associated Cognitive Decline Rats. Mol Cell Proteomics. 2018 Dec;17(12):2335-2346(IF=5.23)

    2.          Zheng H, Ni ZT, Cai AM, Zhang X, Chen JX, Shu Q and Gao HC. Balancing metabolome coverage and reproducibility for untargeted NMR-based metabolic profiling in tissue samples through mixture design methods. Anal Bioanal Chem,2018, 410:7783-7792.IF=3.307

    3.          Zhou Q, Zheng H, Chen JX, Li C, Du Y, Xia HH and Gao HC. Metabolic fate of glucose in the brain of APP/PS1 transgenic mice at 10 months of age: a C-13 NMR metabolomic study. Metab Brain Dis,2018, 33:1661-1668.(IF=2.441)

    4.          Zhao LC, Dong MJ, Xu CC, Zheng H, Wei TT, Liu K, Yan ZH and Gao HC. Identification of Energy Metabolism Changes in Diabetic Cardiomyopathy Rats Using a Metabonomic Approach. Cell Physiol Biochem,2018, 48:934-946.( IF=5.500)

    5.          Zhao LC, Dong MJ, Wang D, Ren MQ, Zheng YQ, Zheng H, Li C and Gao HC. Characteristic Metabolic Alterations Identified in Primary Neurons Under High Glucose Exposure. Frontiers in Cellular Neuroscience,2018, 12.( IF=4.300)

    6.          Huang Q, Li C, Xia NZ, Zhao LC, Wang D, Yang YJ and Gao HC. Neurochemical changes in unilateral cerebral hemisphere during the subacute stage of focal cerebral ischemia-reperfusion in rats: An ex vivo H-1 magnetic resonance spectroscopy study. Brain Res,2018, 1684:67-74.( IF=3.125)

    7.          Zhang X, Lin QT, Chen JX, Wei TT, Li C, Zhao LC, Gao HC and Zheng H. High Glucose-Induced Cardiomyocyte Death May Be Linked to Unbalanced Branched-Chain Amino Acids and Energy Metabolism. Molecules,2018, 23.( IF= 3.098)

    8.          Wang D, Zhao LC, Zheng H, Dong MJ, Pan LL, Zhang X, Zhang HJ and Gao HC. Time-Dependent Lactate Production and Amino Acid Utilization in Cultured Astrocytes Under High Glucose Exposure. Molecular Neurobiology, 2018, 55:1112-1122.IF=5.076

    9.          Lu Y, Zhang XX, Zhao LC, Yang CW, Pan LL, Li C, Liu K, Bai GH, Gao HC and Yan ZH. Metabolic Disturbances in the Striatum and Substantia Nigra in the Onset and Progression of MPTP-Induced Parkinsonism Model. Front Neurosci-Switz,2018, 12.(IF=3.877

    10.       Lou DD, Du Y, Huang DC, Cai F, Zhang Y, Li TY, Zhou WH, Gao HCand Song WH. Traumatic Brain Injury Alters the Metabolism and Facilitates Alzheimer's Disease in a Murine Model. Molecular Neurobiology,2018, 55:4928-4939.IF=5.076

    11.       Liu K, Zhao LC, Xu W, Lin QT, Zhou YJ, Huang XY, Ye XJ, He JW, Bai GH, Yan ZH and Gao HC. Metabolic Changes Associated with a Rat Model of Diabetic Depression Detected by Ex Vivo H-1 Nuclear Magnetic Resonance Spectroscopy in the Prefrontal Cortex, Hippocampus, and Hypothalamus. Neural Plast,2018.IF=3.161

    12.       Liu JC, Chen G, Liu ZZ, Liu SY, Cai ZD, You P, Ke YP, Lai L, Huang Y,Gao HC, Zhao LC, Pelicano H, Huang P, McKeehan WL, Wu CL, Wang C, Zhong WD and Wang F. Aberrant FGFR Tyrosine Kinase Signaling Enhances the Warburg Effect by Reprogramming LDH Isoform Expression and Activity in Prostate Cancer. Cancer Res,2018, 78:4459-4470.IF=9.13

    13.       Zheng H, Zhou Q, Du Y, Li C, Xu PT, Lin L, Xiao J andGao HC. The hypothalamus as the primary brain region of metabolic abnormalities in APP/PS1 transgenic mouse model of Alzheimer's disease. Bba-Mol Basis Dis,2018, 1864:263-273.IF=5.108

    14.       Zheng H, Cai AM, Zhou Q, Xu PT, Zhao LC, Li C, Dong BJ and Gao HC. Optimal preprocessing of serum and urine metabolomic data fusion for staging prostate cancer through design of experiment. Anal Chim Acta,2017, 991:68-75.IF=5.123

    15.      Zheng H, Lin QT, Wang D, Xu PT, Zhao LC, Hu WY, Bai GH, Yan ZH and Gao HC. NMR-based metabolomics reveals brain region-specific metabolic alterations in streptozotocin-induced diabetic rats with cognitive dysfunction. Metab Brain Dis,2017, 32:585-593.IF=2.441

    16.      Zheng H, Zheng P, Zhao LC, Jia JM, Tang SL, Xu PT, Xie P and Gao HC. Predictive diagnosis of major depression using NMR-based metabolomics and least-squares support vector machine. ClinicaChimica Acta,2017, 464:223-227.IF=2.926

    17.      Zheng H, Zheng YQ, Wang D, Cai AM, Lin QT, Zhao LC, Chen MJ, Deng MJ, Ye XJ and Gao HC. Analysis of neuron-astrocyte metabolic cooperation in the brain of db/db mice with cognitive decline using 13C NMR spectroscopy. J Cereb Blood Flow Metab,2017, 37:332-343.IF=6.045

    18.      Zheng H, Zheng YQ, Zhao LC, Chen MJ, Bai GH, Hu YS, Hu WY, Yan ZH and Gao HC. Cognitive decline in type 2 diabetic db/db mice may be associated with brain region-specific metabolic disorders. Bba-Mol Basis Dis,2017, 1863:266-273.IF=5.18

    19.      Zheng H, Chen MJ, Lu SM, Zhao LC, Ji JS and Gao HC. Metabolic characterization of hepatitis B virus-related liver cirrhosis using NMR-based serum metabolomics. Metabolomics,2017, 13.IF=3.511

    20.      Zheng H, Pan LL, Xu PT, Zhu JJ, Wang RH, Zhu W, Hu YS and Gao HC. An NMR-Based Metabolomic Approach to Unravel the Preventive Effect of Water-Soluble Extract from Dendrobium officinale Kimura &Migo on Streptozotocin-Induced Diabetes in Mice. Molecules,2017, 22.IF=3.098

    21.      Du Y, Zheng H, Xia HH, Zhao LC, Hu WY, Bai GH, Yan ZH and Gao HC. Early Effect of Amyloid beta-Peptide on Hippocampal and Serum Metabolism in Rats Studied by an Integrated Method of NMR-Based Metabolomics and ANOVA-Simultaneous Component Analysis. Biomed Res Int,2017, 2017:3262495.IF=2.583

    22.      Chen MJ, Zheng H, Wei TT, Wang D, Xia HH, Zhao LC, Ji JS and Gao HC. High Glucose-Induced PC12 Cell Death by Increasing Glutamate Production and Decreasing Methyl Group Metabolism IF=2.583

    23.       Zheng H, Ji JS, Zhao LC, Chen MJ, Shi A, Pan LL, Huang YR, Zhang HJ, Dong BJ and Gao HC. Prediction and diagnosis of renal cell carcinoma using nuclear magnetic resonance-based serum metabolomics and self-organizing maps. Oncotarget,2016, 7:59189-59198.

    24.       Zheng YQ, Yang YJ, Dong BJ, Zheng H, Lin XD, Du Y, Li XK, Zhao LC and Gao HC. Metabonomic profiles delineate potential role of glutamate-glutamine cycle in db/db mice with diabetes-associated cognitive decline. Mol Brain, 2016, 9.IF=3.44

    25.       Zheng H, Zhao LC, Xia HH, Xu CC, Wang D, Liu K, Lin L, Li XK, Yan ZH and Gao HC. NMR-Based Metabolomics Reveal a Recovery from Metabolic Changes in the Striatum of 6-OHDA-Induced Rats Treated with Basic Fibroblast Growth Factor. Molecular Neurobiology,2016,

    53:6690-6697.IF=5.076

    26.       Wang N, Zhao LC, Zheng YQ, Dong MJ, Su YC, Chen WJ, Hu ZL, Yang YJ andGao HC. Alteration of Interaction Between Astrocytes and Neurons in Different Stages of Diabetes: a Nuclear Magnetic Resonance Study Using [1-C-13]Glucose and [2-C-13]Acetate. Molecular Neurobiology,2015, 51:843-852.IF=5.076

    27.       Diao CF, Zhao LC, Guan MM, Zheng YQ, Chen MJ, Yang YJ, Lin L, Chen WJ and Gao HC. Systemic and characteristic metabolites in the serum of streptozotocin-induced diabetic rats at different stages as revealed by a H-1-NMR based metabonomic approach. Molecular Biosystems,2014, 10:686-693.IF=2.759

    28.       Hu WY, Cheng XJ, Ye XJ, Zhao LC, Huang YN, Zhu HL, Yan ZH, Wang XB, Wang XJ, Bai GH and Gao HC. Ex vivo H-1 nuclear magnetic resonance spectroscopy reveals systematic alterations in cerebral metabolites as the key pathogenetic mechanism of bilirubin encephalopathy. Mol Brain,2014, IF=3.44

    29.       Huang RZ, Gao HC, Ma LH, Wang X, Jia JM, Wang MJ, Zhang L, Liu X, Zheng P, Yang L, Yang L, Dan L and Peng X. Dynamic H-1 NMR-based extracellular metabonomic analysis of oligodendroglia cells infected with herpes simplex virus type 1. Metabolomics,2014, 10:33-41.(IF=3.511)

    30.       Zhao LC, Zhang HY, Yang YJ, Zheng YQ, Dong MJ, Wang YQ, Bai GH, Ye XJ, Yan ZH and Gao HC. Serum Metabonomic Analysis of Protective Effects of Curcuma aromatica Oil on Renal Fibrosis Rats. Plos One,2014, 9.(IF=2.766)

    31.       Zheng P, Gao HC, Qi ZG, Jia JM, Li FF, Chen JJ, Wang Y, Guo J, Melgiri ND and Xie P. Peripheral metabolic abnormalities of lipids and amino acids implicated in increased risk of suicidal behavior in major depressive disorder. Metabolomics, 2013, 9:688-696.(IF=3.511)

    32.       Dong BJ, Jia JM, Hu WY, Chen Q, Jiang C, Pan JH, Huang YR, Xue W and Gao HC. Application of H-1 NMR metabonomics in predicting renal function recoverability after the relief of obstructive uropathy in adult patients. Clin Biochem,2013, 46:346-353.(IF=2.584,)

    33.       Guan MM, Xie LY, Diao CF, Wang N, Hu WY, Zheng YQ, Jin LT, Yan ZH and Gao HC. Systemic Perturbations of Key Metabolites in Diabetic Rats During the Evolution of Diabetes Studied by Urine Metabonomics. Plos One, 2013, 8.(IF=2.766)

    34.       Gao HC, Zhu H, Song CY, Lin L, Xiang Y, Yan ZH, Bai GH, Ye FQ and Li XK. Metabolic Changes Detected by Ex Vivo High Resolution H-1 NMR Spectroscopy in the Striatum of 6-OHDA-Induced Parkinson's Rat. Molecular Neurobiology,2013, 47:123-130.(IF=5.076)

    35.       Liu K, Ye XJ, Hu WY, Zhang GY, Bai GH, Zhao LC, He JW, Zhu H, Shao JB, Yan ZH and Gao HC. Neurochemical Changes in the Rat Occipital Cortex and Hippocampus after Repetitive and Profound Hypoglycemia During the Neonatal Period: An Ex Vivo H-1 Magnetic Resonance Spectroscopy Study. Molecular Neurobiology,2013, 48:729-736.(IF=5.076)

     



版权所有 © 温州医科大学科研实验中心 地址:浙江省温州市茶山高教园区温州医科大学生物医药科研大楼 邮编:325035
电话:0577-88192610 Email:kysyzx@wmu.edu.cn 技术支持:麦拓科技