Literature DB >> 18515079

GADD45B inhibits MKK7-induced cardiac hypertrophy and the polymorphisms of GADD45B is associated with inter-ventricular septum hypertrophy.

Jianwei Wang1, Hu Wang, Jingzhou Chen, Xiaojian Wang, Kai Sun, Yibo Wang, Jizheng Wang, Xu Yang, Xiaodong Song, Ying Xin, Zhe Liu, Rutai Hui.   

Abstract

Mitogen-activated protein kinase kinase 7 (MKK7) induces cardiac hypertrophy by activating the c-Juns NH2-terminal kinases (JNK). It has been reported that growth arrest and DNA-damage-inducible beta (GADD45Beta) binds to MKK7 directly and blocks its catalytic activity, mediates the inhibition of JNK signaling. However, the potential role of GADD45Beta on cardiac hypertrophy has not been investigated. In this study, we found co-infection of cardiomyocytes with adenoviral vectors expressing MKK7 and GADD45B could counteract the characteristic hypertropic responses, including an increase in cell size and elevated atrial natriuretic factor (ANP) expression which induced by overexpression of MKK7. Furthermore, siRNA-mediated knockdown of GADD45B could also cause cardiomyocytes hypertrophy. GeneChip data showed that GADD45B mRNA decreased significantly in patients with hypertrophy cardiomyopathy (HCM) compared with healthy subjects. Association study indicated that haplotype (rs2024144-rs3783501) of GADD45B affected the thickness of inter-ventricular septum in patients with HCM. Dual-luciferase assay showed that C-A haplotype displayed significantly increased transcription activity compared to T-G haplotype.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18515079     DOI: 10.1016/j.bbrc.2008.05.122

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  9 in total

Review 1.  Mitogen-activated protein kinase signaling in the heart: angels versus demons in a heart-breaking tale.

Authors:  Beth A Rose; Thomas Force; Yibin Wang
Journal:  Physiol Rev       Date:  2010-10       Impact factor: 37.312

2.  Gadd45β is an inducible coactivator of transcription that facilitates rapid liver growth in mice.

Authors:  Jianmin Tian; Haiyan Huang; Barbara Hoffman; Dan A Liebermann; Giovanna M Ledda-Columbano; Amedeo Columbano; Joseph Locker
Journal:  J Clin Invest       Date:  2011-10-03       Impact factor: 14.808

3.  Identification of candidate biomarkers and pathways associated with type 1 diabetes mellitus using bioinformatics analysis.

Authors:  Madhu Pujar; Basavaraj Vastrad; Satish Kavatagimath; Chanabasayya Vastrad; Shivakumar Kotturshetti
Journal:  Sci Rep       Date:  2022-06-01       Impact factor: 4.996

4.  Functional and Transcriptional Characterization of Histone Deacetylase Inhibitor-Mediated Cardiac Adverse Effects in Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes.

Authors:  Ivan Kopljar; David J Gallacher; An De Bondt; Laure Cougnaud; Eddy Vlaminckx; Ilse Van den Wyngaert; Hua Rong Lu
Journal:  Stem Cells Transl Med       Date:  2016-03-31       Impact factor: 6.940

5.  Transcriptome analysis defines myocardium gene signatures in children with ToF and ASD and reveals disease-specific molecular reprogramming in response to surgery with cardiopulmonary bypass.

Authors:  Federica Raggi; Davide Cangelosi; Pamela Becherini; Fabiola Blengio; Martina Morini; Massimo Acquaviva; Maria Luisa Belli; Giuseppe Panizzon; Giuseppe Cervo; Luigi Varesio; Alessandra Eva; Maria Carla Bosco
Journal:  J Transl Med       Date:  2020-01-10       Impact factor: 5.531

6.  Integration of transcriptomic data identifies key hallmark genes in hypertrophic cardiomyopathy.

Authors:  Jing Xu; Xiangdong Liu; Qiming Dai
Journal:  BMC Cardiovasc Disord       Date:  2021-07-06       Impact factor: 2.298

7.  Genetic variants of GADD45A, GADD45B and MAPK14 predict platinum-based chemotherapy-induced toxicities in Chinese patients with non-small cell lung cancer.

Authors:  Ming Jia; Meiling Zhu; Mengyun Wang; Menghong Sun; Ji Qian; Fei Ding; Jianhua Chang; Qingyi Wei
Journal:  Oncotarget       Date:  2016-05-03

8.  In Silico Analysis of Differential Gene Expression in Three Common Rat Models of Diastolic Dysfunction.

Authors:  Raffaele Altara; Fouad A Zouein; Rita Dias Brandão; Saeed N Bajestani; Alessandro Cataliotti; George W Booz
Journal:  Front Cardiovasc Med       Date:  2018-02-21

Review 9.  Human iPSC-Cardiomyocytes as an Experimental Model to Study Epigenetic Modifiers of Electrophysiology.

Authors:  Maria R Pozo; Gantt W Meredith; Emilia Entcheva
Journal:  Cells       Date:  2022-01-07       Impact factor: 7.666

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.