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miR-223 Exerts Translational Control of Proatherogenic Genes in Macrophages
Abstract
Background: A significant burden of atherosclerotic disease is driven by inflammation. Recently, microRNAs (miRNAs) have emerged as important factors driving and protecting from atherosclerosis. miR-223 regulates cholesterol metabolism and inflammation via targeting both cholesterol biosynthesis pathway and NF k B signaling pathways; however, its role in atherosclerosis has not been investigated. We hypothesize that miR-223 globally regulates core inflammatory pathways in macrophages in response to inflammatory and atherogenic stimuli thus limiting the progression of atherosclerosis. Methods and Results: Loss of miR-223 in macrophages decreases Abca1 gene and protein expression as well as cholesterol efflux to apoA1 (Apolipoprotein A1) and enhances proinflammatory gene expression. In contrast, overexpression of miR-223 promotes the efflux of cholesterol and macrophage polarization toward an anti-inflammatory phenotype. These beneficial effects of miR-223 are dependent on its target gene, the transcription factor Sp3 . Consistent with the antiatherogenic effects of miR-223 in vitro, mice receiving miR223 −/− bone marrow exhibit increased plaque size, lipid content, and circulating inflammatory cytokines (ie, IL-1β). Deficiency of miR-223 in bone marrow–derived cells also results in an increase in circulating pro-atherogenic cells (total monocytes and neutrophils) compared with control mice. Furthermore, the expression of miR-223 target gene ( Sp3 ) and pro-inflammatory marker ( Il-6 ) are enhanced whereas the expression of Abca1 and anti-inflammatory marker ( Retnla ) are reduced in aortic arches from mice lacking miR-223 in bone marrow–derived cells. In mice fed a high-cholesterol diet and in humans with unstable carotid atherosclerosis, the expression of miR-223 is increased. To further understand the molecular mechanisms underlying the effect of miR-223 on atherosclerosis in vivo, we characterized global RNA translation profile of macrophages isolated from mice receiving wild-type or miR223 −/− bone marrow. Using ribosome profiling, we reveal a notable upregulation of inflammatory signaling and lipid metabolism at the translation level but less significant at the transcription level. Analysis of upregulated genes at the translation level reveal an enrichment of miR-223-binding sites, confirming that miR-223 exerts significant changes in target genes in atherogenic macrophages via altering their translation. Conclusions: Our study demonstrates that miR-223 can protect against atherosclerosis by acting as a global regulator of RNA translation of cholesterol efflux and inflammation pathways.
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“In contrast, miR-223 stands out as one of the few miRNAs capable of indirectly activating Abca1, promoting lipid efflux.”
From miR-223 accelerates lipid droplets clearance in microglia following spinal cord injury by upregulating ABCA1 (2024) · cites this paper as [38]
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“Previous studies have indicated that the promotive effect of miR-223 on Abca1 relies on the inhibition of Sp3 [38, 39].”
From miR-223 accelerates lipid droplets clearance in microglia following spinal cord injury by upregulating ABCA1 (2024) · cites this paper as [38]
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Macrophage biology in development, homeostasis and disease
Wynn, T. A., Chawla, A., & Pollard, J. W. (2013) · Nature · doi:10.1038/nature12034 · Cited by 4,684
Genome-Wide Analysis in Vivo of Translation with Nucleotide Resolution Using Ribosome Profiling
Ingolia, N. T., Ghaemmaghami, S., Newman, J. R. S., & Weissman, J. S. (2009) · Science · doi:10.1126/science.1168978 · Cited by 3,853
Gene silencing by microRNAs: contributions of translational repression and mRNA decay
Huntzinger, E., & Izaurralde, E. (2011) · Nature Reviews Genetics · doi:10.1038/nrg2936 · Cited by 2,339
Recent insights into the cellular biology of atherosclerosis
Tabas, I., García-Cardeña, G., & Owens, G. K. (2015) · Journal of Cell Biology · doi:10.1083/jcb.201412052 · Cited by 1,016
Ribosome Profiling Shows That miR-430 Reduces Translation Before Causing mRNA Decay in Zebrafish
Bazzini, A. A., Lee, M. T., & Giraldez, A. J. (2012) · Science · doi:10.1126/science.1215704 · Cited by 709
Rayner, K. J., Sheedy, F. J., Esau, C. C., Hussain, F. N., Temel, R. E., Parathath, S., van Gils, J. M., Rayner, A. J., Chang, A. N., Suarez, Y., et al. (2011) · Journal of Clinical Investigation · doi:10.1172/jci57275 · Cited by 690
Self-citationIncreased Atherosclerosis in Hyperlipidemic Mice With Inactivation of ABCA1 in Macrophages
Aiello, R. J., Brees, D., Bourassa, P.-A., Royer, L., Lindsey, S., Coskran, T., Haghpassand, M., & Francone, O. L. (2002) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/01.atv.0000014804.35824.da · Cited by 390
Cholesterol Efflux Pathways Suppress Inflammasome Activation, NETosis, and Atherogenesis
Westerterp, M., Fotakis, P., Ouimet, M., Bochem, A. E., Zhang, H., Molusky, M. M., Wang, W., Abramowicz, S., la Bastide-van Gemert, S., Wang, N., et al. (2018) · Circulation · doi:10.1161/circulationaha.117.032636 · Cited by 331
Self-citationZhu, X., Owen, J. S., Wilson, M. D., Li, H., Griffiths, G. L., Thomas, M. J., Hiltbold, E. M., Fessler, M. B., & Parks, J. S. (2010) · Journal of Lipid Research · doi:10.1194/jlr.m006486 · Cited by 331
Interferon-γ regulates cellular metabolism and mRNA translation to potentiate macrophage activation
Su, X., Yu, Y., Zhong, Y., Giannopoulou, E. G., Hu, X., Liu, H., Cross, J. R., Rätsch, G., Rice, C. M., & Ivashkiv, L. B. (2015) · Nature Immunology · doi:10.1038/ni.3205 · Cited by 298
Flagged first, then by citations
Research works printed but not linked: 96
- 10.1038/35025203 · DOI
- 10.1038/nm.2538 · DOI · Paper page
- 10.1097/MOL.0b013e328357ca6e · DOI · Paper page
- 10.1016/j.cell.2011.04.005 · DOI · Paper page
- 10.1038/nri3520 · DOI · Paper page
- 10.1038/nature08938 · DOI · Paper page
- 10.1038/nature04399 · DOI
- 10.1056/NEJMra1112570 · DOI
- 10.1136/bmjopen-2016-011684 · DOI
- 10.1007/s11883-013-0322-z · DOI
- 10.1007/s11886-014-0539-7 · DOI
- 10.1038/nrm1644 · DOI · Paper page
- 10.1038/nrg1379 · DOI · Paper page
- 10.1161/CIRCRESAHA.115.306300 · DOI
- 10.1161/ATVBAHA.118.310227 · DOI
- 10.1073/pnas.1215767111 · DOI · Paper page
- 10.3390/ijms161024965 · DOI
- 10.1038/ni.1918 · DOI
- 10.4049/jimmunol.1200312 · DOI
- 10.4049/jimmunol.1201516 · DOI · Paper page
- 10.1016/j.aogh.2013.12.001 · DOI
- 10.1016/j.cmet.2008.03.001 · DOI · Paper page
- 10.1161/ATVBAHA.108.179283 · DOI
- 10.1074/jbc.M110270200 · DOI
- 10.1021/bi700994m · DOI
- 10.1038/nrcardio.2014.173 · DOI
- 10.1161/CIRCULATIONAHA.111.087817 · DOI · Paper page
- 10.1126/scisignal.aat9563 · DOI
- 10.1161/CIRCULATIONAHA.108.793869 · DOI · Paper page
- 10.1096/fj.11-193946 · DOI
- 10.1194/jlr.M600428-JLR200 · DOI
- 10.1074/jbc.M801408200 · DOI
- 10.1016/j.ymthe.2018.01.011 · DOI
- 10.1161/CIRCRESAHA.116.309318 · DOI
- 10.1172/JCI81656 · DOI · Paper page
- 10.1371/journal.pone.0042390 · DOI
- 10.1161/ATVBAHA.119.312802 · DOI
- 10.1016/j.celrep.2019.11.072 · DOI · Paper page
- 10.7554/eLife.35034 · DOI
- 10.1371/journal.pgen.1004368 · DOI
- 10.1016/j.cell.2005.09.023 · DOI · Paper page
- 10.1038/cr.2010.134 · DOI
- 10.1038/s41590-017-0028-4 · DOI · Paper page
- 10.1126/science.1189862 · DOI · Paper page
- 10.1161/CIRCRESAHA.112.300648 · DOI
- 10.1038/nm.3949 · DOI · Paper page
- 10.1038/nm.3980 · DOI · Paper page
- 10.1161/ATVBAHA.114.304878 · DOI
- 10.1021/acsnano.8b09679 · DOI
- 10.1161/01.ATV.0000064374.15232.C3 · DOI · Paper page
- 10.1016/j.cardiores.2005.01.008 · DOI
- 10.1016/s0002-9440(10)64820-1 · DOI
- Whitman, SC. A practical approach to using mice in atherosclerosis research. Clin Biochem Rev. 2004;25:81–93.
- 10.1161/CIRCRESAHA.111.260760 · DOI
- 10.1038/s41598-017-02987-4 · DOI
- 10.1159/000487344 · DOI
- 10.1161/CIRCRESAHA.113.301086 · DOI · Paper page
- 10.1073/pnas.092327399 · DOI · Paper page
- 10.1371/journal.pone.0048485 · DOI
- 10.1080/10739680490266162 · DOI
- 10.1016/j.jacc.2003.07.002 · DOI
- 10.1210/endo.143.3.8679 · DOI
- 10.1038/nri1733 · DOI · Paper page
- 10.1161/01.ATV.0000059419.11002.6E · DOI
- 10.1172/JCI119465 · DOI
- 10.1161/CIRCRESAHA.111.253377 · DOI
- 10.1172/JCI45444 · DOI · Paper page
- 10.1016/j.atherosclerosis.2011.02.026 · DOI
- 10.1177/000331970405500308 · DOI
- 10.1093/cvr/cvv110 · DOI
- Li, Q, Ming, T, Wang, Y, Ding, S, Hu, C, Zhang, C, Cao, Q, Wang, Y. Increased Th9 cells and IL-9 levels accelerate disease progression in experimental atherosclerosis. Am J Transl Res. 2017;9:1335–1343.
- 10.1161/CIRCULATIONAHA.104.533463 · DOI
- 10.1161/01.atv.19.3.734 · DOI
- 10.4049/jimmunol.0901126 · DOI
- 10.1161/CIRCULATIONAHA.109.924886 · DOI
- 10.1161/CIRCRESAHA.116.304794 · DOI
- 10.1038/nature06607 · DOI · Paper page
- 10.1126/science.1215691 · DOI · Paper page
- 10.1038/nature09267 · DOI · Paper page
- 10.1093/nar/gkp870 · DOI
- 10.1016/j.bbrc.2016.12.091 · DOI
- 10.1038/ncomms13130 · DOI
- 10.1038/nature06730 · DOI
- 10.1038/ni.2291 · DOI
- 10.1016/j.atherosclerosis.2016.06.026 · DOI
- 10.1038/s41598-017-07381-8 · DOI · Paper page
- 10.1073/pnas.0605298103 · DOI · Paper page
- 10.1371/journal.pone.0047807 · DOI
- 10.1161/ATVBAHA.117.309795 · DOI
- 10.1161/RES.0000000000000169 · DOI
- 10.1038/nmeth.1314 · DOI · Paper page
- 10.1093/nar/gkw822 · DOI
- 10.1038/nmeth.3317 · DOI · Paper page
- 10.1038/nbt.1621 · DOI · Paper page
- 10.1038/nmeth.1923 · DOI · Paper page
- 10.1098/rsta.2009.0127 · DOI
Cited by
Sorted by citations
Ou, Z., Cheng, Y., Ma, H., Chen, K., Lin, Q., Chen, J., Guo, R., Huang, Z., Cheng, Q., Alaeiilkhchi, N., et al. (2024) · Journal of Translational Medicine · doi:10.1186/s12967-024-05480-5 · Cited by 23
Metadata
- Authors
- Nguyen, M.-A., Hoang, H.-D., Rasheed, A., Duchez, A.-C., Wyatt, H., Cottee, M. L., Graber, T. E., Susser, L., Robichaud, S., Berber, İ., Geoffrion, M., Ouimet, M., Kazan, H., Maegdefessel, L., Mulvihill, E. E., Alain, T., & Rayner, K. J.
- Affiliations
- University of Ottawa Heart Institute, Canada (M.-A.N., A.R., A.-C.D., H.W., M.L.C., L.S., S.R., M.G., M.O., E.E.M., K.J.R.).
- Children’s Hospital of Eastern Ontario Research Institute, Ottawa, Canada (H.-D.H., T.E.G., T.A.).
- Electrical and Computer Engineering Graduate Program, Antalya Bilim University, Turkey (I.B.).
- Department of Computer Engineering, Antalya Bilim University, Turkey (H.K.).
- Department of Vascular and Endovascular Surgery, Technical University Munich, Germany (L.M.).
- Centre for Infection, Immunity & Inflammation, Faculty of Medicine, University of Ottawa, Canada (K.J.R.).
- ORCID
- Venue
- Circulation Research
- Published
- 2022-06-24
- Volume
- 131
- Issue
- 1
- Pages
- 42-58
- ISSN
- 0009-7330
- 1524-4571
- PMC
- PMC9213086
- Cited by
- 74
- References
- 13
- Language
- en
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