Title |
mTOR regulates TLR-induced c-fos and Th1 responses to HBV and HCV vaccines
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Published in |
Virologica Sinica, June 2015
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DOI | 10.1007/s12250-015-3606-3 |
Pubmed ID | |
Authors |
Li He, Aiping Zang, Min Du, Dapeng Ma, Chuanping Yuan, Chun Zhou, Jing Mu, Huanjing Shi, Dapeng Li, Xulin Huang, Qiang Deng, Jianhua Xiao, Huimin Yan, Lijian Hui, Ke Lan, Sidong Xiong, Xiaoxia Li, Zhong Huang, Hui Xiao |
Abstract |
Although IL-12 plays a critical role in priming Th1 and cytotoxic T lymphocyte (CTL) responses, Toll-like receptor (TLR) signaling only induces low amounts of IL-12 in dendritic cells and macrophages, implying the existence of stringent regulatory mechanisms. In this study, we sought to uncover the mechanisms underlying TLR-induced IL-12 expression and the Th1 response. By systemic screening, we identified a number of protein kinases involved in the regulation of TLRinduced IL-12 expression. In particular, PI3K, ERK, and mTOR play critical roles in the TLR-induced Th1 response by regulating IL-12 and IL-10 production in innate immune cells. Moreover, we identified c-fos as a key molecule that mediates mTOR-regulated IL-12 and IL-10 expression in TLR signaling. Mechanistically, mTOR plays a crucial role in c-fos expression, thereby modulating NFκB binding to promoters of IL-12 and IL-10. By controlling the expression of a special innate gene program, mTOR can specifically regulate the TLR-induced T cell response in vivo. Furthermore, blockade of mTOR by rapamycin efficiently boosted TLR-induced antigen-specific T and B cell responses to HBV and HCV vaccines. Taken together, these results reveal a novel mechanism through which mTOR regulates TLR-induced IL-12 and IL-10 production, contributing new insights for strategies to improve vaccine efficacy. |
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Geographical breakdown
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United Kingdom | 1 | 50% |
United States | 1 | 50% |
Demographic breakdown
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Science communicators (journalists, bloggers, editors) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
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Unknown | 37 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 6 | 16% |
Student > Bachelor | 5 | 14% |
Student > Doctoral Student | 4 | 11% |
Student > Ph. D. Student | 3 | 8% |
Professor | 2 | 5% |
Other | 3 | 8% |
Unknown | 14 | 38% |
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Medicine and Dentistry | 5 | 14% |
Biochemistry, Genetics and Molecular Biology | 4 | 11% |
Agricultural and Biological Sciences | 2 | 5% |
Arts and Humanities | 1 | 3% |
Other | 2 | 5% |
Unknown | 16 | 43% |