miR-33 links SREBP-2 induction to repression of sterol transporters
Open accessAbstract
The sterol regulatory element binding protein 2 (SREBP-2) and the liver X receptor (LXR) control antagonistic transcriptional programs that stimulate cellular cholesterol uptake and synthesis, and cholesterol efflux, respectively. The clinical importance of SREBP-2 is revealed in patients with hypercholesterolemia treated with statins, which reduce low-density lipoprotein (LDL) cholesterol levels by increasing hepatic expression of SREBP-2 and its target, the LDL receptor. Here we show that miR-33 is encoded within SREBP-2 and that both mRNAs are coexpressed. We also identify sequences in the 3' UTR of ABCA1 and ABCG1, sterol transporter genes both previously shown to be regulated by LXR, as targets for miR-33-mediated silencing. Our data show that LXR-dependent cholesterol efflux to both ApoAI and serum is ameliorated by miR-33 overexpression and, conversely, stimulated by miR-33 silencing. Finally, we show that ABCA1 mRNA and protein and plasma HDL levels decline after hepatic overexpression of miR-33, whereas they increase after hepatic miR-33 silencing. These results suggest novel ways to manage hypercholesterolemic patients.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
FBS functions as a very efficient cholesterol acceptor.
“As reported previously (Marquart et al., 2010), FBS functioned as a very efficient cholesterol acceptor.”
From miR-106b impairs cholesterol efflux and increases Aβ levels by repressing ABCA1 expression (2012) · cites this paper as Marquart et al., 2010
In vivo antagonism or genetic deletion of miR-33 enhances hepatic ABCA1 expression and increases circulating HDL-cholesterol.
“in vivo antagonism or genetic deletion of miR-33 enhances hepatic ABCA1 expression and increases circulating HDL-cholesterol (HDL-C) (Marquart et al., 2010; Najafi-Shoushtari et al., 2010; Rayner et al., 2010).”
From Genetic dissection of the impact of miR-33a and miR-33b during the progression of atherosclerosis (2017) · cites this paper as Marquart et al., 2010
miR-33a and miR-33b help prevent further loss of lipids by targeting genes involved in cholesterol trafficking and efflux and fatty acid β-oxidation.
“miR-33a and miR-33b help prevent further loss of lipids by targeting genes involved in cholesterol trafficking and efflux”
From Genetic dissection of the impact of miR-33a and miR-33b during the progression of atherosclerosis (2017) · cites this paper as Marquart et al., 2010
miR-33a and miR-33b are intronic miRNAs encoded within the SREBP-2 and SREBP-1 genes respectively.
“miR-33a and miR-33b are intronic miRNAs encoded within the SREBP-2 and SREBP-1 genes respectively (Marquart et al., 2010; Najafi-Shoushtari et al., 2010; Rayner et al., 2010).”
From Genetic dissection of the impact of miR-33a and miR-33b during the progression of atherosclerosis (2017) · cites this paper as Marquart et al., 2010
miR-33a and miR-33b are co-transcribed along with SREBP-2 and SREBP-1 and work in concert with their host genes to help maintain proper lipid levels within the cell.
“This work led to the demonstration that miR-33a and miR-33b are co-transcribed along with SREBP-2 and SREBP-1, and work in concert with their host genes to help maintain proper lipid levels within the cell (Davalos et al., 2011; Marquart et al., 2010; Najafi-Shoushtari et al., 2010; Rayner et al., 2010).”
From Genetic dissection of the impact of miR-33a and miR-33b during the progression of atherosclerosis (2017) · cites this paper as Marquart et al., 2010
In miR-33a knockout mice or when miR-33a is suppressed by synthetic nucleic acids such as antagomirs, the expression of ABCA1 in macrophages and the liver is increased.
“In miR-33a knockout mice or when miR-33a is suppressed by synthetic nucleic acids such as antagomirs, the expression of ABCA1 in macrophages and the liver is increased 11 - 15) .”
From Critical Role of microRNA-33a/b in Cardiovascular and Metabolic Disease: Molecular Mechanisms and Therapeutic Perspectives (2026) · cites this paper as [13]
The most well-known target gene of miR-33a/b is ABCA1.
“The most well-known target gene of miR-33a/b is ATP-binding cassette subfamily A member 1 (ABCA1).”
From Critical Role of microRNA-33a/b in Cardiovascular and Metabolic Disease: Molecular Mechanisms and Therapeutic Perspectives (2026) · cites this paper as [13]
MicroRNA-33 targets ABCA1 and ABCG1 in vivo.
“MicroRNA (miR)-33 is known to target ABCA1 and ABCG1 in vivo.”
From MicroRNA‐33 Deficiency Reduces the Progression of Atherosclerotic Plaque in ApoE <sup>−/−</sup> Mice (2012) · cites this paper as [18]
miR-33 controls cholesterol homeostasis based on knockdown experiments using antisense technology.
“Recent reports, including ours, have indicated that miR-33 controls cholesterol homeostasis based on knockdown experiments using antisense technology.16–18”
From MicroRNA‐33 Deficiency Reduces the Progression of Atherosclerotic Plaque in ApoE <sup>−/−</sup> Mice (2012) · cites this paper as [18]
miR-33 is a highly conserved miRNA family within the intronic sequences of the Srebp genes in organisms ranging from Drosophila to humans.
“We and others provided identification of a highly conserved miRNA family, miR-33, within the intronic sequences of the Srebp genes in organisms ranging from Drosophila to humans (11–14).”
From miR-33a/b contribute to the regulation of fatty acid metabolism and insulin signaling (2011) · cites this paper as [12]
In mice, there is only one miR-33 gene, conserved with human miR-33a and located within intron 15 of the mouse Srebp-2 gene.
“In mice, however, there is only one miR-33 gene, which is conserved with human miR-33a and located within intron 15 of the mouse Srebp-2 gene.”
From miR-33a/b contribute to the regulation of fatty acid metabolism and insulin signaling (2011) · cites this paper as [12]
Two miR-33 genes are present in humans: miR-33b in intron 17 of Srebp-1 on chromosome 17, and miR-33a in intron 16 of Srebp-2 on chromosome 22.
“Two miR-33 genes are present in humans: miR-33b, which is present in intron 17 of the Srebp-1 gene on chromosome 17, and miR-33a, which is located in intron 16 of the Srebp-2 gene on chromosome 22.”
From miR-33a/b contribute to the regulation of fatty acid metabolism and insulin signaling (2011) · cites this paper as [12]
These pathways regulate circulating HDL levels through their roles in HDL biogenesis and cellular cholesterol efflux.
“Importantly, these pathways regulate circulating HDL levels through their roles in HDL biogenesis and cellular cholesterol efflux (12–14).”
From miR-33a/b contribute to the regulation of fatty acid metabolism and insulin signaling (2011) · cites this paper as [12]
During sterol-limited states, miR-33a is coincidentally generated with Srebp-2 transcription and works to increase cellular cholesterol levels by limiting cholesterol export through down-regulation of ABC transporters, ABCA1 and ABCG1.
“We and others have recently established that, during sterol-limited states, miR-33a is coincidentally generated with Srebp-2 transcription and works to increase cellular cholesterol levels by limiting cholesterol export through the down-regulation of ABC transporters, ABCA1 and ABCG1 (12–14).”
From miR-33a/b contribute to the regulation of fatty acid metabolism and insulin signaling (2011) · cites this paper as [12]
Cites
MicroRNAs: Target Recognition and Regulatory Functions
Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.01.002 · Cited by 20,068 · see citing works
Lusis, A. J. (2000) · Nature · doi:10.1038/35025203 · Cited by 4,880 · see citing works
Brown, M. S., & Goldstein, J. L. (1997) · Cell · doi:10.1016/s0092-8674(00)80213-5 · Cited by 3,834 · see citing works
Rosamond, W., Flegal, K., Friday, G., Furie, K., Go, A., Greenlund, K., Haase, N., Ho, M., Howard, V., Kissela, B., et al. (2007) · Circulation · doi:10.1161/circulationaha.106.179918 · Cited by 3,277 · see citing works
Glass, C. K., & Witztum, J. L. (2001) · Cell · doi:10.1016/s0092-8674(01)00238-0 · Cited by 3,049 · see citing works
Dysregulation of microRNAs after myocardial infarction reveals a role of miR-29 in cardiac fibrosis
van Rooij, E., Sutherland, L. B., Thatcher, J. E., DiMaio, J. M., Naseem, R. H., Marshall, W. S., Hill, J. A., & Olson, E. N. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0805038105 · Cited by 1,846 · see citing works
Goldstein, J. L., & Brown, M. S. (2009) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.108.179564 · Cited by 1,344 · see citing works
Cholesterol in the Prediction of Atherosclerotic Disease
Kannel, W. B., Castelli, W. P., & Gordon, T. (1979) · Annals of Internal Medicine · doi:10.7326/0003-4819-90-1-85 · Cited by 1,314 · see citing works
MiR-33 Contributes to the Regulation of Cholesterol Homeostasis
Rayner, K. J., Suárez, Y., Dávalos, A., Parathath, S., Fitzgerald, M. L., Tamehiro, N., Fisher, E. A., Moore, K. J., & Fernández-Hernando, C. (2010) · Science · doi:10.1126/science.1189862 · Cited by 1,260 · see citing works
Control of cellular cholesterol efflux by the nuclear oxysterol receptor LXRα
Venkateswaran, A., Laffitte, B. A., Joseph, S. B., Mak, P. A., Wilpitz, D. C., Edwards, P. A., & Tontonoz, P. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.200367697 · Cited by 1,005 · see citing works
MicroRNA-33 and the SREBP Host Genes Cooperate to Control Cholesterol Homeostasis
Najafi-Shoushtari, S. H., Kristo, F., Li, Y., Shioda, T., Cohen, D. E., Gerszten, R. E., & Näär, A. M. (2010) · Science · doi:10.1126/science.1189123 · Cited by 957 · cited 1× · see citing works
“pendent laboratories reported similar findings (38, 39).”
Kennedy, M. A., Barrera, G. C., Nakamura, K., Baldán, Á., Tarr, P. T., Fishbein, M. C., Frank, J. S., Francone, O. L., & Edwards, P. A. (2005) · Cell Metabolism · doi:10.1016/j.cmet.2005.01.002 · Cited by 885 · see citing works
Self-citationLXR Regulates Cholesterol Uptake Through Idol-Dependent Ubiquitination of the LDL Receptor
Zelcer, N., Hong, C., Boyadjian, R., & Tontonoz, P. (2009) · Science · doi:10.1126/science.1168974 · Cited by 848 · see citing works
Macrophage ABCA1 and ABCG1, but not SR-BI, promote macrophage reverse cholesterol transport in vivo
Wang, X., Collins, H. L., Ranalletta, M., Fuki, I. V., Billheimer, J. T., Rothblat, G. H., Tall, A. R., & Rader, D. J. (2007) · Journal of Clinical Investigation · doi:10.1172/jci32057 · Cited by 593 · see citing works
Radhakrishnan, A., Ikeda, Y., Kwon, H. J., Brown, M. S., & Goldstein, J. L. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0700899104 · Cited by 593 · see citing works
HDL, ABC transporters, and cholesterol efflux: implications for the treatment of atherosclerosis
Tall, A. R., Yvan-Charvet, L., Terasaka, N., Pagler, T., & Wang, N. (2008) · Cell Metabolism · doi:10.1016/j.cmet.2008.03.001 · Cited by 540 · see citing works
ABCA1 and ABCG1 Synergize to Mediate Cholesterol Export to ApoA-I
Gelissen, I. C., Harris, M., Rye, K., Quinn, C. M., Brown, A. J., Kockx, M., Cartland, S. P., Packianathan, M., Kritharides, L., & Jessup, W. (2005) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.0000200082.58536.e1 · Cited by 430 · see citing works
The liver X receptor gene team: Potential new players in atherosclerosis
Repa, J. J., & Mangelsdorf, D. J. (2002) · Nature Medicine · doi:10.1038/nm1102-1243 · Cited by 387 · see citing works
Human White/Murine ABC8 mRNA Levels Are Highly Induced in Lipid-loaded Macrophages
Venkateswaran, A., Repa, J. J., Lobaccaro, J. A., Bronson, A. D., Mangelsdorf, D. J., & Edwards, P. A. (2000) · Journal of Biological Chemistry · doi:10.1074/jbc.275.19.14700 · Cited by 384 · see citing works
MiRNA Expression Profile of Human Subcutaneous Adipose and during Adipocyte Differentiation
Ortega, F., Moreno-Navarrete, J., Pardo, G., Sabater, M., Hummel, M., Ferrer, A., Rodríguez-Hermosa, J., Ruiz, B., Ricart, W., Peral, B., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009022 · Cited by 372 · see citing works
Chapman, M. J., Le Goff, W., Guerin, M., & Kontush, A. (2010) · European Heart Journal · doi:10.1093/eurheartj/ehp399 · Cited by 298 · see citing works
Vaughan, A. M., & Oram, J. F. (2006) · Journal of Lipid Research · doi:10.1194/jlr.m600218-jlr200 · Cited by 283 · see citing works
Genomic organization of microRNAs
Olena, A. F., & Patton, J. G. (2009) · Journal of Cellular Physiology · doi:10.1002/jcp.21993 · Cited by 276 · see citing works
Edwards (2002) · doi:10.1016/s1537-1891(02)00175-1 · Cited by 233 · see citing works
Lipid efflux by the ATP-binding cassette transporters ABCA1 and ABCG1
Cavelier, C., Lorenzi, I., Rohrer, L., & von Eckardstein, A. (2006) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2006.04.012 · Cited by 232 · see citing works
High-Density Lipoprotein and Coronary Heart Disease
Natarajan, P., Ray, K. K., & Cannon, C. P. (2010) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2010.01.008 · Cited by 228 · see citing works
MicroRNAs as potential cancer therapeutics
Trang, P., Weidhaas, J. B., & Slack, F. J. (2008) · Oncogene · doi:10.1038/onc.2009.353 · Cited by 208 · see citing works
Efflux of sphingomyelin, cholesterol, and phosphatidylcholine by ABCG1
Kobayashi, A., Takanezawa, Y., Hirata, T., Shimizu, Y., Misasa, K., Kioka, N., Arai, H., Ueda, K., & Matsuo, M. (2006) · Journal of Lipid Research · doi:10.1194/jlr.m500546-jlr200 · Cited by 207 · see citing works
Steinberg, D. H. (2006) · Journal of Lipid Research · doi:10.1194/jlr.r600009-jlr200 · Cited by 201 · see citing works
Singaraja, R. R., Bocher, V., James, E. R., Clee, S. M., Zhang, L.-H., Leavitt, B. R., Tan, B., Brooks-Wilson, A., Kwok, A., Bissada, N., et al. (2001) · Journal of Biological Chemistry · doi:10.1074/jbc.m102503200 · Cited by 194 · see citing works
MicroRNA targets in immune genes and the Dicer/Argonaute and ARE machinery components
Asirvatham, A. J., Gregorie, C. J., Hu, Z., Magner, W. J., & Tomasi, T. B. (2007) · Molecular Immunology · doi:10.1016/j.molimm.2007.10.035 · Cited by 170 · see citing works
MicroRNAs in brain development and physiology
Coolen, M., & Bally‐Cuif, L. (2009) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2009.09.006 · Cited by 151 · see citing works
Zhang, J. R., Coleman, T., Langmade, S. J., Scherrer, D. E., Lane, L. M., Lanier, M. H., Chu, F., Sands, M. S., Schaffer, J. E., Semenkovich, C. F., et al. (2008) · Journal of Clinical Investigation · doi:10.1172/jci32561 · Cited by 127 · see citing works
Self-citationCoexistence of Foam Cells and Hypocholesterolemia in Mice Lacking the ABC Transporters A1 and G1
Out, R., Jessup, W., Goff, W. L., et al. (2007) · Circulation Research · doi:10.1161/circresaha.107.161711 · Cited by 116 · see citing works
Zeng, L., Liao, H., Liu, Y., Lee, T., Zhu, M., Wang, X., Stemerman, M. B., Zhu, Y., & Shyy, J. Y.-J. (2004) · Journal of Biological Chemistry · doi:10.1074/jbc.m407817200 · Cited by 110 · see citing works
Wong, J., Quinn, C. M., Gelissen, I. C., Jessup, W., & Brown, A. J. (2007) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2007.03.030 · Cited by 86 · see citing works
Baldán, Á., Bojanic, D. D., & Edwards, P. A. (2008) · Journal of Lipid Research · doi:10.1194/jlr.r800044-jlr200 · Cited by 81 · see citing works
Self-citationSingaraja, R. R., Stahmer, B., Brundert, M., Merkel, M., Heeren, J., Bissada, N., Kang, M., Timmins, J. M., Ramakrishnan, R., Parks, J. S., et al. (2006) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/01.atv.0000229219.13757.a2 · Cited by 33 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Mechanisms and regulation of cholesterol homeostasis
Luo, J., Yang, H., & Song, B.-L. (2020) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-019-0190-7 · Cited by 1,980 · see citing works
Godoy, P., Hewitt, N. J., Albrecht, U., Andersen, M. E., Ansari, N., Bhattacharya, S., Bode, J. G., Bolleyn, J., Borner, C., Böttger, J., et al. (2013) · Archives of Toxicology · doi:10.1007/s00204-013-1078-5 · Cited by 1,280 · see citing works
Cholesterol Efflux and Atheroprotection: Advancing the Concept of Reverse Cholesterol Transport
Rosenson, R. S., Brewer, H. B., Davidson, W. S., Fayad, Z. A., Fuster, V., Goldstein, J., Hellerstein, M., Jiang, X.-C., Phillips, M. C., Rader, D. J., et al. (2012) · Circulation · doi:10.1161/circulationaha.111.066589 · Cited by 953 · see citing works
miR-33a/b contribute to the regulation of fatty acid metabolism and insulin signaling
Dávalos, A., Goedeke, L., Smibert, P., Ramírez, C. M., Warrier, N. P., Andreo, U., Cirera-Salinas, D., Rayner, K., Suresh, U., Pastor-Pareja, J. C., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1102281108 · Cited by 670 · see citing works
Ouimet, M., Ediriweera, H. N., Gundra, U. M., Sheedy, F. J., Ramkhelawon, B., Hutchison, S. B., Rinehold, K., van Solingen, C., Fullerton, M. D., Cecchini, K., et al. (2015) · Journal of Clinical Investigation · doi:10.1172/jci81676 · Cited by 394 · see citing works
Expression of miR-33 from an SREBP2 Intron Inhibits Cholesterol Export and Fatty Acid Oxidation*
Gerin, I., Clerbaux, L.-A., Haumont, O., Lanthier, N., Das, A. K., Burant, C. F., Leclercq, I. A., MacDougald, O. A., & Bommer, G. T. (2010) · Journal of Biological Chemistry · doi:10.1074/jbc.m110.152090 · Cited by 382 · see citing works
MicroRNAs in Metabolic Disease
Fernández-Hernando, C., Ramírez, C. M., Goedeke, L., & Suárez, Y. (2013) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.112.300144 · Cited by 257 · see citing works
MicroRNA-33 regulates sterol regulatory element-binding protein 1 expression in mice
Horie, T., Nishino, T., Baba, O., Kuwabara, Y., Nakao, T., Nishiga, M., Usami, S., Izuhara, M., Sowa, N., Yahagi, N., et al. (2013) · Nature Communications · doi:10.1038/ncomms3883 · Cited by 230 · see citing works
MicroRNA‐33 Deficiency Reduces the Progression of Atherosclerotic Plaque in ApoE <sup>−/−</sup> Mice
Horie, T., Baba, O., Kuwabara, Y., Chujo, Y., Watanabe, S., Kinoshita, M., Horiguchi, M., Nakamura, T., Chonabayashi, K., Hishizawa, M., et al. (2012) · Journal of the American Heart Association · doi:10.1161/jaha.112.003376 · Cited by 220 · see citing works
Control of Cholesterol Metabolism and Plasma High-Density Lipoprotein Levels by microRNA-144
Ramírez, C. M., Rotllan, N., Vlassov, A. V., Dávalos, A., Li, M., Goedeke, L., Aranda, J. F., Cirera-Salinas, D., Araldi, E., Salerno, A., et al. (2013) · Circulation Research · doi:10.1161/circresaha.112.300626 · Cited by 217 · see citing works
“We and others provided identification of a highly conserved miRNA family, miR-33a/b, within the intronic sequences of the Srebp genes in organisms ranging from Drosophila to humans.(20,21,23) The 3′UTR of Abca1 contains 3 highly conserved binding sites for miR-33a/b, and the expression of ABCA1 mRNA and protein is str…”
BackgroundMicroRNA therapeutics in cardiovascular medicine
Thum, T. (2012) · EMBO Molecular Medicine · doi:10.1002/emmm.201100191 · Cited by 193 · see citing works
Karunakaran, D., Thrush, A. B., Nguyen, M.-A., Richards, L., Geoffrion, M., Singaravelu, R., Ramphos, E., Shangari, P., Ouimet, M., Pezacki, J. P., et al. (2015) · Circulation Research · doi:10.1161/circresaha.117.305624 · Cited by 188 · see citing works
miR-106b impairs cholesterol efflux and increases Aβ levels by repressing ABCA1 expression
Kim, J., Yoon, H., Ramírez, C. M., Lee, S.-M., Hoe, H.-S., Fernández-Hernando, C., & Kim, J. (2012) · Experimental Neurology · doi:10.1016/j.expneurol.2011.11.010 · Cited by 173 · see citing works
MicroRNAs and cardiovascular diseases
Ono, K., Kuwabara, Y., & Han, J. (2011) · The FEBS Journal · doi:10.1111/j.1742-4658.2011.08090.x · Cited by 169 · see citing works
Allen, R. M., Marquart, T. J., Albert, C. J., Suchy, F. J., Wang, D. Q. ‐., Ananthanarayanan, M., Ford, D. A., & Baldán, Á. (2012) · EMBO Molecular Medicine · doi:10.1002/emmm.201201228 · Cited by 159 · see citing works
Self-citationMicroRNA 33 Regulates Glucose Metabolism
Ramírez, C. M., Goedeke, L., Rotllan, N., Yoon, J.-H., Cirera-Salinas, D., Mattison, J. A., Suárez, Y., de Cabo, R., Gorospe, M., & Fernández-Hernando, C. (2013) · Molecular and Cellular Biology · doi:10.1128/mcb.00016-13 · Cited by 154 · see citing works
Goedeke, L., Salerno, A., Ramírez, C. M., Guo, L., Allen, R. M., Yin, X., Langley, S. R., Esau, C., Wanschel, A., Fisher, E. A., et al. (2014) · EMBO Molecular Medicine · doi:10.15252/emmm.201404046 · Cited by 145 · see citing works
Self-citationA Regulatory Role for MicroRNA 33* in Controlling Lipid Metabolism Gene Expression
Goedeke, L., Vales-Lara, F. M., Fenstermaker, M., Cirera-Salinas, D., Chamorro-Jorganes, A., Ramírez, C. M., Mattison, J. A., de Cabo, R., Suárez, Y., & Fernández-Hernando, C. (2013) · Molecular and Cellular Biology · doi:10.1128/mcb.01714-12 · Cited by 140 · see citing works
Genetic dissection of the impact of miR-33a and miR-33b during the progression of atherosclerosis
Price, N. L., Rotllan, N., Canfrán-Duque, A., Zhang, X., Pati, P., Arias, N., Moen, J., Mayr, M., Ford, D. A., Baldán, Á., et al. (2017) · Cell reports · doi:10.1016/j.celrep.2017.10.023 · Cited by 129 · see citing works
Self-citationPrice, N. L., Singh, A. K., Rotllan, N., Goedeke, L., Wing, A., Canfrán-Duque, A., Diaz-Ruiz, A., Araldi, E., Baldán, Á., Camporez, J.-P., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.01.074 · Cited by 110 · see citing works
Self-citationMarquart, T. J., Wu, J., Lusis, A. J., & Baldán, Á. (2013) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.112.300639 · Cited by 110 · see citing works
Self-citationBarylski, M., Toth, P. P., Nikolic, D., Banach, M., Rizzo, M., & Montalto, G. (2014) · Best Practice & Research Clinical Endocrinology & Metabolism · doi:10.1016/j.beem.2013.11.001 · Cited by 67 · see citing works
Repurposing of statins via inhalation to treat lung inflammatory conditions
Bradbury, P., Traini, D., Ammit, A. J., Young, P. M., & Ong, H. X. (2018) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2018.06.005 · Cited by 38 · see citing works
MicroRNAs and Lipoprotein Metabolism
Horie, T., Baba, O., Kuwabara, Y., Yokode, M., Kita, T., Kimura, T., & Ono, K. (2014) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.20859 · Cited by 29 · see citing works
microRNA-33 controls hunger signaling in hypothalamic AgRP neurons
Price, N. L., Fernández-Tussy, P., Varela, L., Cardelo, M. P., Shanabrough, M., Aryal, B., de Cabo, R., Suárez, Y., Horvath, T. L., & Fernández-Hernando, C. (2024) · Nature Communications · doi:10.1038/s41467-024-46427-0 · Cited by 25 · see citing works
MicroRNAs in brain cholesterol metabolism and their implications for Alzheimer's disease
Yoon, H., Flores, L. F., & Kim, J. (2016) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2016.04.020 · Cited by 23 · see citing works
Baba, O., Horie, T., Nakao, T., Hakuno, D., Nakashima, Y., Nishi, H., Kuwabara, Y., Nishiga, M., Nishino, T., Ide, Y., et al. (2018) · Molecular and Cellular Biology · doi:10.1128/mcb.00604-17 · Cited by 12 · see citing works
Horie, T., Baba, O., Nishino, T., Yamashita, Y., Tsujisaka, Y., & Ono, K. (2026) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.rv22045 · Cited by 5 · see citing works
- Authors
- Marquart, T. J., Allen, R. M., Ory, D. S., & Baldán, Á.
- Affiliations
- Saint Louis University (US)
- Washington University in St. Louis (US)
- Corresponding author
- Baldán, Ángel
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2010-06-21
- Volume
- 107
- Issue
- 27
- Pages
- 12228-12232
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC2901433
- OpenAlex
- W2154694480
- Semantic Scholar
- 8ffcf988d34fc8558bd8adea44243e82730ba414
- Cited by
- 562
- References
- 39
- Citations by year
- 2026: 10 · 2025: 18 · 2024: 12 · 2023: 20 · 2022: 24 · 2021: 40 · 2020: 28 · 2019: 34 · 2018: 42 · 2017: 33 · 2016: 61 · 2015: 54 · 2014: 46 · 2013: 63 · 2012: 40
- FWCI
- 43.41
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion)
- Funders
- Saint Louis University
- National Institutes of Health (5p60dk020579-35, DK020579, P50 HL083762)
- National Heart, Lung, and Blood Institute (P50 HL083762)
- National Institute of Diabetes and Digestive and Kidney Diseases (P60-DK-020579)
- Topics
- Health Sciences › Medicine › Surgery › Cholesterol and Lipid Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
- Keywords
- miR-33, SREBP2, liver X receptor, sterol transporters, ABCA1, ABCG1, cholesterol efflux, HDL cholesterol, hypercholesterolemia, LDL receptor, microRNA regulation, 3' UTR targeting, hepatic cholesterol metabolism, statins
- MeSH terms
- ATP Binding Cassette Transporter, Subfamily G, Member 1, Animals, Base Sequence, Cell Line, Cholesterol, Gene Expression Regulation, Humans, Cholesterol, HDL, Lipoproteins, LDL, Male, Mice, Inbred C57BL, Molecular Sequence Data, Receptors, LDL, RNA, Messenger, Transfection, Transcriptional Activation, ATP-Binding Cassette Transporters, 5' Untranslated Regions, Reverse Transcriptase Polymerase Chain Reaction, Response Elements, MicroRNAs, Mice, Sterol Regulatory Element Binding Protein 2, ATP Binding Cassette Transporter 1
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
