Type I IFN Inhibits Innate IL-10 Production in Macrophages through Histone Deacetylase 11 by Downregulating MicroRNA-145
Abstract
Innate immune responses must be tightly regulated to avoid overactivation and subsequent inflammatory damage to host tissue while eliminating invading pathogens. IL-10 is a crucial suppressor of inflammatory responses and its expression is under precise regulation involving complex regulatory networks and multiple feedback loops. MicroRNAs are now emerging as critical regulators in immune response. Our previous work showed that miR-143/145 cluster was markedly downregulated in macrophages upon vesicular stomatitis virus infection. However, the particular role of miR-143/145 cluster in the regulation of innate immune response remains unknown. In this study, we found that miR-143/145 cluster expression was also downregulated dramatically by TLR signals in macrophages, which was dependent on the subsequent type I IFN (IFN-I) production and downstream IFN-I receptor–JAK1–STAT1 signal cascade. Further studies demonstrated that miR-145, but not miR-143, promoted IL-10 expression in TLR4-triggered macrophages through directly targeting the epigenetic Il10 gene silencer histone deacetylase 11. Therefore, we demonstrate that miR-145, downregulated by IFN-I, targets histone deacetylase 11 to promote innate IL-10 expression in macrophages. Our findings suggest a new IFN-I–mediated negative feedback loop in the fine-tuning of innate IL-10 production that creates precise coordination of innate immune responses.
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Viral infection via TLR and IFN-I/JAK1/STAT1 signaling downregulates miR-145, increasing IL-10 production.
“Viral infection, through TLR signaling and downstream IFN-I receptor-JAK1-STAT1 signal cascade, leads to downregulation of miR-145, which increases production of anti-inflammatory IL-10 [207].”
From MicroRNAs as Regulators of Phagocytosis (2022) · cites this paper as [207]
Cites
Widespread changes in protein synthesis induced by microRNAs
Selbach, M., Schwanhäusser, B., Thierfelder, N., Fang, Z., Khanin, R., & Rajewsky, N. (2008) · Nature · doi:10.1038/nature07228 · Cited by 3,429 · cited 1× · see citing works
“A single miRNA might tune thousands of genes expression by direct or indirect effects (42).”
BackgroundGao, L., Cueto, M. A., Asselbergs, F., & Atadja, P. (2002) · Journal of Biological Chemistry · doi:10.1074/jbc.m111871200 · Cited by 744 · see citing works
The histone deacetylase HDAC11 regulates the expression of interleukin 10 and immune tolerance
Villagra, A., Cheng, F., Wang, H.-W., Suarez, I., Glozak, M., Maurin, M., Nguyen, D., Wright, K. L., Atadja, P. W., Bhalla, K., et al. (2009) · Nature Immunology · doi:10.1038/ni.1673 · Cited by 455 · see citing works
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PDL1 Regulation by p53 via miR-34
Cortez, M. A., Ivan, C., Valdecanas, D., Wang, X., Peltier, H. J., Ye, Y., Araujo, L., Carbone, D. P., Shilo, K., Giri, D. K., et al. (2016) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/djv303 · Cited by 683 · see citing works
MicroRNAs: New Regulators of Toll-Like Receptor Signalling Pathways
He, X., Jing, Z., & Cheng, G. (2014) · BioMed Research International · doi:10.1155/2014/945169 · Cited by 238 · see citing works
Matrix-bound nanovesicles recapitulate extracellular matrix effects on macrophage phenotype
Huleihel, L., Bartolacci, J. G., Dziki, J. L., Vorobyov, T., Arnold, B., Scarritt, M. E., Pineda Molina, C., LoPresti, S. T., Brown, B. N., Naranjo, J. D., et al. (2017) · Tissue Engineering Part A · doi:10.1089/ten.tea.2017.0102 · Cited by 116 · see citing works
MicroRNAs as Regulators of Phagocytosis
Gierlikowski, W., & Gierlikowska, B. (2022) · Cells · doi:10.3390/cells11091380 · Cited by 25 · see citing works
- Authors
- Lin, L., Hou, J., Ma, F., Wang, P., Liu, X., Li, N., Wang, J., Wang, Q., & Cao, X.
- Affiliations
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Second Military Medical University (CN)
- Zhejiang University (CN)
- Venue
- The Journal of Immunology
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-10-01
- Volume
- 191
- Issue
- 7
- Pages
- 3896-3904
- ISSN
- 0022-1767 (ISSN-L)
- 1550-6606
- OpenAlex
- W1595490711
- Cited by
- 73
- References
- 3
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 2 · 2023: 6 · 2022: 5 · 2021: 10 · 2020: 5 · 2019: 6 · 2018: 2 · 2017: 9 · 2016: 6 · 2015: 7 · 2014: 8
- FWCI
- 3.86
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journal of Immunology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › interferon and immune responses
- Life Sciences › Immunology and Microbiology › Immunology › Immune Response and Inflammation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Keywords
- type I interferon, IL-10, macrophages, miR-145, TLR4 signaling, epigenetic silencing, innate immune regulation, negative feedback loop, vesicular stomatitis virus
- MeSH terms
- Roundabout Proteins, Animals, Cell Line, Gene Expression Regulation, Histone Deacetylases, Humans, Immunity, Innate, Interferon Type I, Macrophages, Membrane Proteins, Models, Biological, Nerve Tissue Proteins, Receptors, Cell Surface, Transcription, Genetic, Signal Transduction, Down-Regulation, Interleukin-10, Interleukin-12, MicroRNAs, STAT1 Transcription Factor, Toll-Like Receptors, Mice, Janus Kinase 1, Gene Knockdown Techniques
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