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赵秀举

来源: 时间:2019年09月20日 15:58 编辑:zhangting 点击:

赵秀举个人简介

姓名:

赵秀举


办公地址:

湖北省武汉市公园南路1号生化楼512 武汉轻工大学生学院


联系电话:

QQ 422184256


电子邮箱:

422184256@qq.com

简要描述

博士,教授,研究生导师。

研究发育健康营养模态智能化、学科专业建设

教育经历

2008/06-2012/03中国科学院武汉物理与数学研究所,分析化学(核磁共振与代谢组学),博士,导师:王玉兰研究员和唐惠儒研究员

2005/09-2007/07武汉大学,生物物理学,硕士,导师:谭铮教授

1999/09-2003/07,陕西科技大学,生物工程,学士

工作经历

2007/07-2008/02,国家高新技术企业武汉佳成技术中心副主任

2012/04-至今,武汉轻工大学,生物与制药工程学院,讲师、副教授教授

2017/08-2018/08, Texas A&M University, Department of Nutrition and Food Science,访问学者合作导师 Chaodong Wu

研究方向:

学科:生物化学与分子生物学、微生物学、药理学、微生物与生化药学、生物数据学(流行病与卫生统计学)、多组学、分析化学

模式动物、人的个体(早期)发育、脂肪肝/高脂血症、糖脂代谢(组)、转录及蛋白组、(表观)遗传、微生物(组),健康大数据、流行病调查,南瓜活性成分开发。

科研项目:

国家重点研发计划、国家自然科学基金、湖北省教育厅重点项目转化项目

啮齿动物对乙酰甲喹的代谢组应答(973课题 2009CB118804),200806-201112,参加450万

非酒精性脂肪肝病发生发展及饮食干预机制(湖北省自然科学基金面上项目 2012FFB04802),201301-201412,1/6,3万

中链脂肪酸-肝肠因子轴与抗炎功能(湖北省教育厅科学技术研究计划重点项目D20191603),1/6,4万

人白血病转录组预测因素检测和发现技术(技术秘密普通许可,长沙杰瑞生物科技有限公司,合同登记编号2024420601002488),95万

生命及关联学科基于常态化监测的“双一流”建设成效评价研究(国家社科基金重点项目学科建设与研究生培养研究专项ZSA250509),35万

代表性论文与著作

发表Briefings in Bioinformatics综述等论文78篇,它引1.7万余次,医学ESI高被引论文10篇、其中5篇热点,参与3件发明专利、主导1件人白血病数据处理发明专利公开。结题和在研国家基金教育学学科建设与研究生培养研究专项重点项目25个。

代谢组NMR分析与药物毒理研究.波谱学杂志, 2011, 28 (1), 1-17. 1st & Correspondence.

Dynamic metabolic response of mice to acute mequindox exposure. Journal of Proteome Research, 2011, 10, 5183-5190. 1st.

Systems responses of rats to mequindox revealed by metabolic and transcriptomic profiling. Journal of Proteome Research, 2012, 11, 4712-4721. 1st.

ECR-MAPK regulation in liver early development. BioMed Research International,2014: 850802. 1st & Correspondence.

Intervention of pumpkin seed oil on metabolic disease revealed by metabonomics and transcript profile. Journal of the Science of Food and Agriculture, 2017, 97(4): 1158-1163. 1st & Correspondence.

Dynamic Lipid Profile of Hyperlipidemia Mice. Journal of Chromatography B, 2017, 1055–1056: 165–171. Correspondence.

Risk Factors and Biomarkers of Non-alcoholic Fatty Liver Disease: an observational cross-sectional population survey. BMJ open. 2018;8:e019974. Correspondence. 以中国中部地区1479人横断面观察型临床试验为对象,运用代谢组检测、多变量Logistic回归和接受者操作特征曲线下面积(AUROC),发现非酒精性脂肪肝病(NAFLD)新的高发年龄段50-60岁和新的危险因素与生物标志物油酸羟化油酸酯

Population and fertility by age and sex for 195 countries and territories, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017. The Lancet 2018; 392: 1995–2051. Coauthor.

Prediction of cause-specific disability-adjusted life-years in China 2018-2021: a systematic analysis. Public Health. 2020,180:90-99. Correspondence.

Global, regional, and national burden of cirrhosis by aetiology in 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017.The Lancet Gastroenterology & Hepatology 2020;5(3):245-266. Coauthor.

NMR-based plasma metabonomics in Hyperlipidemia Mice. Analytical Methods 2020, 12, 1995 - 2001. Correspondence.

Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017. Nature Medicine 2020, 26: 750–759. coauthor

Mapping geographic inequalities in childhood diarrhoeal morbidity and mortality in low- and middle-income countries, 2000–17: analysis for the Global Burden of Disease Study 2017. The Lancet 2020, 395(10239):1779-1801. Coauthor.

Mapping geographical inequalities in oral rehydration therapy coverage in low-income and middle-income countries, 2000–17. The Lancet Global Health 2020, 8(8):e1038-e1060. Coauthor.

Measuring universal health coverage using the UHC effective coverage index in 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Disease Study 2019. The Lancet DOI: 10.1016/S0140-6736(20)30750-9. Coauthor.

Global burden of 302 diseases, injuries, and impairments, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet Coauthor.

The unfulfilled promise of prevention: the global burden of 86 risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet Coauthor.

Five insights from the Global Burden of Disease Study 2019. The Lancet Coauthor.

Prediction of cause-specific disability-adjusted life-years in China 2018-2021: a systematic analysis. Public Health 2020,180:90-99.

Intervention of 4% salmon phospholipid on metabolic syndrome in mice based on colonic lipidomics analysis. Journal of the Science of Food and Agriculture, 102 (8), 3088-3098 (2022).

Linking research of biomedical datasets. Briefings in Bioinformatics 2022, 23 (6): bbac373. DOI: 10.1093/bib/bbac373. Review. 数学与计算生物学 1/571st & Correspondence. 提出生物数据学(biodatatics),概括其类脑生态理论,即全流程数据活动机制DCSAE(多样兼顾,环节衔接,安全共享,权责一致,生态使能)多样化弱关联数据集通过原生类脑方式(动力引擎和思想知识双轮驱动,算法和算力协调匹配)预测发现。数据环节,概括为设计、采样、预处理与分析和治理,通过技术导则、标准化、应用程序接口、软件开发包、模型参数等衔接。匿名化和去标识化,对抗训练,群体学习,高性能图计算,图查询语言,混合事务分析处理等,兼顾深度计算、海量存储和高并发通讯,实现数据安全共享。以比例原则分配不同数据参与方的权利与义务、权力与职责。数据在使用中升值,不同数据参与方都能从中获益,形成数据生态系统(物料平衡、能量守恒、简单优先)。

Dietary interventions of salmon and silver carp phospholipids on mice with metabolic syndrome based on lipidomics. Cells, 2022, 11, 3199.

其他

Journal of Cell ScienceInternational Journal of ObesityBioscience Reports, Analytical Methods, European Journal of Epidemiology特邀审稿人。

发起并负责“婴幼儿发育健康与营养研发小组”(Team of neonatal/infant development, health and nutrition, NDHN)。


湖北省首中小微企业“科技副总”(2020)

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