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SILAC-based quantitative proteomic analysis of the livers of spontaneous obese and diabetic rhesus monkeys
Junlong Wang1,2,3; Shimeng Xu4; Jing Gao5; Linqiang Zhang2,3; Zhiguo Zhang2,3; Wenhui Yang6; Yunhai Li2,3; Shasha Liao2,3; Hu Zhou5; Pingsheng Liu4; Bin Liang1,2,3
2018
发表期刊American journal of Physiology Endocrinology and Metabolism
期号315页码:E294–E306
摘要

Wang J, Xu S, Gao J, Zhang L, Zhang Z, Yang W, Li Y, LiaoS, Zhou H, Liu P, Liang B. SILAC-based quantitative proteomicanalysis of the livers of spontaneous obese and diabetic rhesusmonkeys. Am J Physiol Endocrinol Metab 315: E294–E306, 2018.First published April 17, 2018; doi:10.1152/ajpendo.00016.2018.—Type 2 diabetes mellitus (T2DM) is a severe metabolic disorder thataffects more than 10% of the population worldwide. Obesity is amajor cause of insulin resistance and contributes to the developmentof T2DM. Liver is an essential metabolic organ that plays crucial rolesin the pathogenesis of obesity and diabetes. However, the underlyingmechanisms of liver in the transition of obesity to diabetes are notfully understood. The nonhuman primate rhesus monkey is an appro-priate animal for research of human diseases. Here, we first screenedand selected three individuals of spontaneously diabetic rhesus mon-keys. Interestingly, the diabetic monkeys were obese with a high bodymass index at the beginning, but gradually lost their body weightduring one year of observation. Furthermore, we performed stableisotope labeling with amino acids in cell culture-based quantitativeproteomics to identify proteins and signaling pathways with alteredexpression in the liver of obese and diabetic monkeys. In total, 3,509proteins were identified and quantified, of which 185 proteins dis-played an altered expression level. Gene ontology analysis revealedthat the expression of proteins involved in fatty acids ?-oxidation andgalactose metabolism was increased in obese monkeys; while proteinsinvolved in oxidative phosphorylation and branched chain amino acid(BCAA) degradation were upregulated in diabetic monkeys. In addi-tion, we observed mild apoptosis in the liver of diabetic monkeys,suggesting liver injury at the late onset of diabetes. Taken together,our liver proteomics may reveal a distinct metabolic transition fromfatty acids ?-oxidation in obese monkey to BCAA degradation indiabetic monkeys.

关键词Liver Rhesus Monkey Stable Isotope LabelIng With AmIno Acids In Cell Culture-based Quantitative Proteomics Spontaneous Type 2 Diabetes
DOI10.1152/ajpendo.00016.2018.
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文献类型期刊论文
条目标识符http://ir.kiz.ac.cn/handle/152453/12345
专题科研部门_脂类代谢与疾病(梁斌)
通讯作者Bin Liang
作者单位1.College of Pharmaceutical Sciences, Soochow University, Suzhou, China
2.Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
3.Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
4.National Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
5.Department of Analytical Chemistry and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
6.Key Laboratory of Cardiovascular Disease of Yunnan Province, Department of Geriatrics, Yan’an Affiliated Hospital of Kunming Medical University, Kunming, China
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Junlong Wang,Shimeng Xu,Jing Gao,et al. SILAC-based quantitative proteomic analysis of the livers of spontaneous obese and diabetic rhesus monkeys[J]. American journal of Physiology Endocrinology and Metabolism,2018(315):E294–E306.
APA Junlong Wang.,Shimeng Xu.,Jing Gao.,Linqiang Zhang.,Zhiguo Zhang.,...&Bin Liang.(2018).SILAC-based quantitative proteomic analysis of the livers of spontaneous obese and diabetic rhesus monkeys.American journal of Physiology Endocrinology and Metabolism(315),E294–E306.
MLA Junlong Wang,et al."SILAC-based quantitative proteomic analysis of the livers of spontaneous obese and diabetic rhesus monkeys".American journal of Physiology Endocrinology and Metabolism .315(2018):E294–E306.
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