Literature DB >> 19706371

Role of 14-3-3 protein and oxidative stress in diabetic cardiomyopathy.

Kenichi Watanabe1, R A Thandavarayan, N Gurusamy, S Zhang, A J Muslin, K Suzuki, H Tachikawa, M Kodama, Y Aizawa.   

Abstract

Cardiovascular disease is a leading cause of death worldwide. Diabetes mellitus is a well-known and important risk factor for cardiovascular diseases. The occurrence of diabetic cardiomyopathy is independent of hypertension, coronary artery disease, or any other known cardiac diseases. There is growing evidence that excess generation of highly reactive free radicals, largely due to hyperglycemia, causes oxidative stress, which further exacerbates the development and progression of diabetes and its complications. Diabetic cardiomyopathy is characterized by morphologic and structural changes in the myocardium and coronary vasculature mediated by the activation of various signaling pathways. Myocardial apoptosis, hypertrophy and fibrosis are the most frequently proposed mechanisms to explain cardiac changes in diabetic cardiomyopathy. Mammalian 14-3-3 proteins are dimeric phosphoserine-binding proteins that participate in signal transduction and regulate several aspects of cellular biochemistry. 14-3-3 protein regulates diabetic cardiomyopathy via multiple signaling pathways. This review focuses on emerging evidence suggesting that 14-3-3 protein plays a key role in the pathogenesis of the cardiovascular complications of diabetes, which underlie the development and progression of diabetic cardiomyopathy.

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Year:  2009        PMID: 19706371     DOI: 10.1556/APhysiol.96.2009.3.3

Source DB:  PubMed          Journal:  Acta Physiol Hung        ISSN: 0231-424X


  11 in total

1.  Transplanted bone marrow mesenchymal stem cells protects myocardium by regulating 14-3-3 protein in a rat model of diabetic cardiomyopathy.

Authors:  Xiaoyan Dong; Fen Zhu; Qun Liu; Yuanheng Zhang; Jun Wu; Wen Jiang; Lei Zhang; Shuguang Dong
Journal:  Int J Clin Exp Pathol       Date:  2014-06-15

Review 2.  14-3-3 proteins as potential therapeutic targets.

Authors:  Jing Zhao; Cheryl L Meyerkord; Yuhong Du; Fadlo R Khuri; Haian Fu
Journal:  Semin Cell Dev Biol       Date:  2011-10-01       Impact factor: 7.727

Review 3.  14-3-3ζ as a prognostic marker and therapeutic target for cancer.

Authors:  Christopher L Neal; Dihua Yu
Journal:  Expert Opin Ther Targets       Date:  2010-12       Impact factor: 6.902

4.  Thiol-disulfide redox dependence of heme binding and heme ligand switching in nuclear hormone receptor rev-erb{beta}.

Authors:  Nirupama Gupta; Stephen W Ragsdale
Journal:  J Biol Chem       Date:  2010-12-01       Impact factor: 5.157

Review 5.  Stem cells in the diabetic infarcted heart.

Authors:  Carley E Glass; Pawan K Singal; Dinender K Singla
Journal:  Heart Fail Rev       Date:  2010-11       Impact factor: 4.214

6.  Sirtuin-6 deficiency exacerbates diabetes-induced impairment of wound healing.

Authors:  Rajarajan A Thandavarayan; Venkata Naga Srikanth Garikipati; Darukeshwara Joladarashi; Sahana Suresh Babu; Prince Jeyabal; Suresh K Verma; Alexander R Mackie; Mohsin Khan; Somasundaram Arumugam; Kenichi Watanabe; Raj Kishore; Prasanna Krishnamurthy
Journal:  Exp Dermatol       Date:  2015-08-18       Impact factor: 3.960

7.  The GCKIII kinase Sps1 and the 14-3-3 isoforms, Bmh1 and Bmh2, cooperate to ensure proper sporulation in Saccharomyces cerevisiae.

Authors:  Christian J Slubowski; Scott M Paulissen; Linda S Huang
Journal:  PLoS One       Date:  2014-11-19       Impact factor: 3.240

8.  Proteomic Analysis of 3T3-L1 Adipocytes Treated with Insulin and TNF-α.

Authors:  Hayley Chan; Ketaki P Bhide; Aditya Vaidyam; Victoria Hedrick; Tiago Jose Paschoal Sobreira; Thomas G Sors; Ryan W Grant; Uma K Aryal
Journal:  Proteomes       Date:  2019-10-20

Review 9.  Small engine, big power: microRNAs as regulators of cardiac diseases and regeneration.

Authors:  Darukeshwara Joladarashi; Rajarajan Amirthalingam Thandavarayan; Sahana Suresh Babu; Prasanna Krishnamurthy
Journal:  Int J Mol Sci       Date:  2014-09-09       Impact factor: 5.923

10.  Multiple imputation and analysis for high-dimensional incomplete proteomics data.

Authors:  Xiaoyan Yin; Daniel Levy; Christine Willinger; Aram Adourian; Martin G Larson
Journal:  Stat Med       Date:  2015-11-12       Impact factor: 2.373

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