Literature DB >> 29945883

MEG3-4 is a miRNA decoy that regulates IL-1β abundance to initiate and then limit inflammation to prevent sepsis during lung infection.

Rongpeng Li1,2, Lizhu Fang2, Qinqin Pu2,3, Huimin Bu1, Pengcheng Zhu1, Zihan Chen1, Min Yu2, Xuefeng Li2, Timothy Weiland4, Arvind Bansal4, Shui Qing Ye5, Yuquan Wei3, Jianxin Jiang6, Min Wu7,3.   

Abstract

Long noncoding RNAs (lncRNAs) regulate gene expression. We investigated the role of lncRNAs in the inflammatory response to bacterial infection in the lungs. We identified the lncRNA MEG3 as a tissue-specific modulator of inflammatory responses during bacterial infection. Among the 10 transcript isoforms of MEG3, transcript 4 (referred to as MEG3-4) encodes the isoform with the lowest abundance in mouse lungs. Nonetheless, we found that MEG3-4 bound to the microRNA miR-138 in a competitive manner with mRNA encoding the proinflammatory cytokine interleukin-1β (IL-1β), thereby increasing IL-1β abundance and intensifying inflammatory responses to bacterial infection in alveolar macrophages and lung epithelial cells in culture and in lung tissue in mice. MEG3-4-mediated sponging of miR-138 in the cytoplasm increased the autocrine activity of IL-1β that subsequently induced a negative feedback mechanism mediated by nuclear factor κB that decreased MEG3-4 abundance and inflammatory cytokine production. This timely reduction in MEG3-4 abundance tempered proinflammatory responses in mice with pulmonary bacterial infection, preventing the progression to sepsis. Together, these findings reveal that MEG3-4 dynamically modulates pulmonary inflammatory responses through transcriptional regulation of immune response genes, extending the decoy and sponge mechanism associated with lncRNAs to antibacterial immunity, which affects both response and disease progression.
Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

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Year:  2018        PMID: 29945883      PMCID: PMC6637737          DOI: 10.1126/scisignal.aao2387

Source DB:  PubMed          Journal:  Sci Signal        ISSN: 1945-0877            Impact factor:   8.192


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