Title |
Suppression of MAPK11 or HIPK3 reduces mutant Huntingtin levels in Huntington's disease models
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Published in |
Cell Research, October 2017
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DOI | 10.1038/cr.2017.113 |
Pubmed ID | |
Authors |
Meng Yu, Yuhua Fu, Yijian Liang, Haikun Song, Yao Yao, Peng Wu, Yuwei Yao, Yuyin Pan, Xue Wen, Lixiang Ma, Saiyin Hexige, Yu Ding, Shouqing Luo, Boxun Lu |
Abstract |
Most neurodegenerative disorders are associated with accumulation of disease-relevant proteins. Among them, Huntington disease (HD) is of particular interest because of its monogenetic nature. HD is mainly caused by cytotoxicity of the defective protein encoded by the mutant Huntingtin gene (HTT). Thus, lowering mutant HTT protein (mHTT) levels would be a promising treatment strategy for HD. Here we report two kinases HIPK3 and MAPK11 as positive modulators of mHTT levels both in cells and in vivo. Both kinases regulate mHTT via their kinase activities, suggesting that inhibiting these kinases may have therapeutic values. Interestingly, their effects on HTT levels are mHTT-dependent, providing a feedback mechanism in which mHTT enhances its own level thus contributing to mHTT accumulation and disease progression. Importantly, knockout of MAPK11 significantly rescues disease-relevant behavioral phenotypes in a knockin HD mouse model. Collectively, our data reveal new therapeutic entry points for HD and target-discovery approaches for similar diseases.Cell Research advance online publication 13 October 2017; doi:10.1038/cr.2017.113. |
X Demographics
Geographical breakdown
Country | Count | As % |
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China | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 37 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 27% |
Other | 4 | 11% |
Student > Master | 4 | 11% |
Student > Bachelor | 4 | 11% |
Researcher | 3 | 8% |
Other | 4 | 11% |
Unknown | 8 | 22% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 7 | 19% |
Neuroscience | 5 | 14% |
Agricultural and Biological Sciences | 5 | 14% |
Medicine and Dentistry | 4 | 11% |
Psychology | 2 | 5% |
Other | 5 | 14% |
Unknown | 9 | 24% |