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本文引用的文献

1
Data-driven modeling reconciles kinetics of ERK phosphorylation, localization, and activity states.数据驱动建模使 ERK 磷酸化、定位和活性状态的动力学协调一致。
Mol Syst Biol. 2014 Jan 30;10(1):718. doi: 10.1002/msb.134708. Print 2014.
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KSR2 mutations are associated with obesity, insulin resistance, and impaired cellular fuel oxidation.KSR2 突变与肥胖、胰岛素抵抗和细胞燃料氧化受损有关。
Cell. 2013 Nov 7;155(4):765-77. doi: 10.1016/j.cell.2013.09.058.
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A new mathematical approach for qualitative modeling of the insulin-TOR-MAPK network.一种胰岛素-TOR-MAPK 网络定性建模的新数学方法。
Front Physiol. 2013 Sep 12;4:245. doi: 10.3389/fphys.2013.00245. eCollection 2013.
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Signal integration by mTORC1 coordinates nutrient input with biosynthetic output.mTORC1 通过信号整合协调营养物质输入与生物合成产出。
Nat Cell Biol. 2013 Jun;15(6):555-64. doi: 10.1038/ncb2763.
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Phosphorylation of IRS1 at serine 307 in response to insulin in human adipocytes is not likely to be catalyzed by p70 ribosomal S6 kinase.胰岛素刺激人脂肪细胞 IRS1 丝氨酸 307 磷酸化可能不是由 p70 核糖体 S6 激酶催化的。
PLoS One. 2013;8(4):e59725. doi: 10.1371/journal.pone.0059725. Epub 2013 Apr 2.
6
Insulin signaling in type 2 diabetes: experimental and modeling analyses reveal mechanisms of insulin resistance in human adipocytes.2 型糖尿病中的胰岛素信号转导:实验和建模分析揭示了人脂肪细胞胰岛素抵抗的机制。
J Biol Chem. 2013 Apr 5;288(14):9867-9880. doi: 10.1074/jbc.M112.432062. Epub 2013 Feb 11.
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How scaffolds shape MAPK signaling: what we know and opportunities for systems approaches.支架如何塑造 MAPK 信号转导:我们的所知与系统方法的机遇。
Front Physiol. 2012 Dec 21;3:475. doi: 10.3389/fphys.2012.00475. eCollection 2012.
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Likelihood based observability analysis and confidence intervals for predictions of dynamic models.基于似然性的动态模型预测可观测性分析及置信区间
BMC Syst Biol. 2012 Sep 5;6:120. doi: 10.1186/1752-0509-6-120.
9
Combined computational and experimental analysis reveals mitogen-activated protein kinase-mediated feedback phosphorylation as a mechanism for signaling specificity.联合计算和实验分析揭示了丝裂原激活的蛋白激酶介导的反馈磷酸化作为信号特异性的一种机制。
Mol Biol Cell. 2012 Oct;23(19):3899-910. doi: 10.1091/mbc.E12-04-0333. Epub 2012 Aug 8.
10
Conclusions via unique predictions obtained despite unidentifiability--new definitions and a general method.尽管无法识别,仍能通过独特的预测得出结论——新的定义和通用方法。
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单一机制可解释2型糖尿病肥胖患者脂肪细胞中全网络胰岛素抵抗现象。

A single mechanism can explain network-wide insulin resistance in adipocytes from obese patients with type 2 diabetes.

作者信息

Nyman Elin, Rajan Meenu Rohini, Fagerholm Siri, Brännmark Cecilia, Cedersund Gunnar, Strålfors Peter

机构信息

From the Department of Clinical and Experimental Medicine and.

From the Department of Clinical and Experimental Medicine and the Department of Biomedical Engineering, Linköping University, SE58185 Linköping, Sweden.

出版信息

J Biol Chem. 2014 Nov 28;289(48):33215-30. doi: 10.1074/jbc.M114.608927. Epub 2014 Oct 15.

DOI:10.1074/jbc.M114.608927
PMID:25320095
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4246081/
Abstract

The response to insulin is impaired in type 2 diabetes. Much information is available about insulin signaling, but understanding of the cellular mechanisms causing impaired signaling and insulin resistance is hampered by fragmented data, mainly obtained from different cell lines and animals. We have collected quantitative and systems-wide dynamic data on insulin signaling in primary adipocytes and compared cells isolated from healthy and diabetic individuals. Mathematical modeling and experimental verification identified mechanisms of insulin control of the MAPKs ERK1/2. We found that in human adipocytes, insulin stimulates phosphorylation of the ribosomal protein S6 and hence protein synthesis about equally via ERK1/2 and mTORC1. Using mathematical modeling, we examined the signaling network as a whole and show that a single mechanism can explain the insulin resistance of type 2 diabetes throughout the network, involving signaling both through IRS1, PKB, and mTOR and via ERK1/2 to the nuclear transcription factor Elk1. The most important part of the insulin resistance mechanism is an attenuated feedback from the protein kinase mTORC1 to IRS1, which spreads signal attenuation to all parts of the insulin signaling network. Experimental inhibition of mTORC1 using rapamycin in adipocytes from non-diabetic individuals induced and thus confirmed the predicted network-wide insulin resistance.

摘要

2型糖尿病患者对胰岛素的反应受损。关于胰岛素信号传导已有很多信息,但由于主要从不同细胞系和动物获得的碎片化数据,对导致信号传导受损和胰岛素抵抗的细胞机制的理解受到阻碍。我们收集了原代脂肪细胞中胰岛素信号传导的定量和全系统动态数据,并比较了从健康个体和糖尿病个体分离出的细胞。数学建模和实验验证确定了丝裂原活化蛋白激酶ERK1/2的胰岛素控制机制。我们发现,在人类脂肪细胞中,胰岛素通过ERK1/2和mTORC1同等程度地刺激核糖体蛋白S6的磷酸化,从而促进蛋白质合成。通过数学建模,我们对整个信号网络进行了研究,结果表明,单一机制可以解释2型糖尿病在整个网络中的胰岛素抵抗,该机制涉及通过IRS1、蛋白激酶B(PKB)和mTOR以及通过ERK1/2至核转录因子Elk1的信号传导。胰岛素抵抗机制的最重要部分是蛋白激酶mTORC1对IRS1的反馈减弱,这将信号衰减扩散到胰岛素信号网络的所有部分。在非糖尿病个体的脂肪细胞中使用雷帕霉素对mTORC1进行实验性抑制诱导并因此证实了预测的全网络胰岛素抵抗。