| 个体老龄化生物标志物体外筛选模型的建立 |
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| 引用本文： | 张玫,鄯科明,邓玉林.个体老龄化生物标志物体外筛选模型的建立[J].北京理工大学学报,2015,35(S1):116-118,127. |
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| 作者姓名： | 张玫 鄯科明 邓玉林 |
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| 作者单位： | 中国疾病预防控制中心传染病预防控制所, 北京 102206;传染病预防控制国家重点实验室, 北京 102206;感染性疾病诊治协同创新中心, 杭州 310003,中国兵器工业规划研究院, 北京 100053,北京理工大学 生命学院, 北京 100081 |
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| 基金项目： | 国家自然科学基金资助项目(81471919);中国疾病预防控制中心青年科研基金资助项目(2014A101) |
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| 摘 要： | 根据蛋白交联理论,以丙酮醛及人血清白蛋白建立体外筛选模型,模拟体内氨基脲敏感的胺氧化酶介导美拉德反应导致蛋白交联的生物学过程.采用串联质谱结合18O标记的方法,定量分析丙酮醛对人血清白蛋白肽段的修饰程度用于表征衰老的程度,并对该方法的各项实验条件进行优化.建立了个体老龄化生物标志物体外筛选模型,优化了胰蛋白酶酶切及18O标记的实验条件.通过对优化条件下酶解后标记效率的评估,认为该方法将来可用于蛋白质组学方法,研究老龄化生物标志.
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| 关 键 词： | 人血清白蛋白 衰老 生物标志物 18O标记 HPLC/ESI-TOF MS |
| 收稿时间： | 2015/3/20 0:00:00 |
Establishment of Peptide Biomarker Screening Model in Individual Aging in Vitro by HPLC/ESI-TOF MS |
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| ZHANG Mei,SHAN Ke-ming and DENG Yu-lin.Establishment of Peptide Biomarker Screening Model in Individual Aging in Vitro by HPLC/ESI-TOF MS[J].Journal of Beijing Institute of Technology(Natural Science Edition),2015,35(S1):116-118,127. |
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| Authors: | ZHANG Mei SHAN Ke-ming and DENG Yu-lin |
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| Institution: | National Institute of Communicable Diseases Control and Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing 102206, China;State Key Laboratory for Infectious Disease Prevention and Control, Beijing 102206, China;Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China,Planning and Research Institute, Norinco Group, Beijing 100053, China and School of Life Science, Beijing Institute of Technology, Beijing 100081, China |
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| Abstract: | An in vitro aging model was set up by methylglyoxal and human serum albumin based on maillard reaction according to cross-linking theory to evaluate aging degree individually. HPLC-ESI TOF MS and 18O-labeling technique were employed to quantify modification degree of peptides cleaved from HSA, which can indicate aging degree. The in vitro aging model was set up successfully, and all experimental conditions were optimized. This method was considered to be a good foundation for screening aging biomarkers in the future by quality evaluation of the optimized conditions. |
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| Keywords: | human serum albumin aging biomarker 18O-labeling HPLC-ESI TOF MS |
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