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DOI 10.1016/j.lfs.2018.09.030

Медицинская библиотека · Life sciences · 2018

Role of p62/SQSTM1 in lipopolysaccharide (LPS)-induced mucus hypersecretion in bronchial epithelial cells.

Wu Yanjun, Li Yanping, Wang Baoya, He Xin, Li Yunxiao, Wu Bo, Yu Ganggang, Wang Haoyan, Xu Bo

СтатьяПеревод пока не подготовлен

Аннотация

AIMS: The aims of this study were to evaluate the effects of p62/SQSTM1 expression levels on lipopolysaccharide (LPS)-induced mucus secretion in BEAS-2B bronchial epithelial cells by measuring expression levels of the MUC5AC gene and the Mucin-5AC (MUC5AC) protein.

MATERIALS AND

METHODS

Bronchial epithelial cells, BEAS-2B, were treated with LPS at different time points. Rapamycin, an autophagy agonist, was added to the BEAS-2B cells 30 min before LPS treatment. Lentivirus transfection was then used to knock down the expression of p62/SQSTM1 (Sequestosome 1) to investigate changes in the downstream signaling pathway. Western blotting and immunofluorescence were used to study the expression levels of MUC5AC, and reverse transcription-polymerase chain reaction (RT-PCR) was used to study the expression of MUC5AC mRNA.

KEY FINDINGS: LPS treatment of BEAS-2B cells inhibited autophagy, activated the nuclear factor kappa B (NF-κB) signaling pathway and increased the expression of MUC5AC. The autophagy agonist, rapamycin, activated autophagy, inhibited the NF-κB signaling pathway and decreased LPS-induced expression of MUC5AC. Knockdown of p62/SQSTM1 expression reduced activation of the NF-κB signaling pathway and reduced LPS-induced mucus secretion by BEAS-2B cells in vitro.

SIGNIFICANCE: In this in vitro study, which utilized BEAS-2B bronchial epithelial cells, p62/SQSTM1 was shown to have a role in LPS-induced mucus hypersecretion by activating the NF-κB signaling pathway.

Для цитирования: Wu Yanjun, Li Yanping, Wang Baoya, He Xin, Li Yunxiao, Wu Bo, Yu Ganggang, Wang Haoyan, Xu Bo. Role of p62/SQSTM1 in lipopolysaccharide (LPS)-induced mucus hypersecretion in bronchial epithelial cells.. Life sciences. 2018. DOI: 10.1016/j.lfs.2018.09.030.

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Обработка статьи · этапы, ошибки и управление
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