MicroRNAs 103 and 107 regulate insulin sensitivity
Open accessAbstract
Defects in insulin signalling are among the most common and earliest defects that predispose an individual to the development of type 2 diabetes. MicroRNAs have been identified as a new class of regulatory molecules that influence many biological functions, including metabolism. However, the direct regulation of insulin sensitivity by microRNAs in vivo has not been demonstrated. Here we show that the expression of microRNAs 103 and 107 (miR-103/107) is upregulated in obese mice. Silencing of miR-103/107 leads to improved glucose homeostasis and insulin sensitivity. In contrast, gain of miR-103/107 function in either liver or fat is sufficient to induce impaired glucose homeostasis. We identify caveolin-1, a critical regulator of the insulin receptor, as a direct target gene of miR-103/107. We demonstrate that caveolin-1 is upregulated upon miR-103/107 inactivation in adipocytes and that this is concomitant with stabilization of the insulin receptor, enhanced insulin signalling, decreased adipocyte size and enhanced insulin-stimulated glucose uptake. These findings demonstrate the central importance of miR-103/107 to insulin sensitivity and identify a new target for the treatment of type 2 diabetes and obesity.
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MicroRNA inhibitors (antagomirs) targeting miR-103 and miR-107 improve insulin sensitivity and reduce adiposity in diet-induced obese mice by enhancing hepatic and peripheral insulin signaling.
“MicroRNA inhibitors (antagomirs) targeting miR-103 and miR-107 improve insulin sensitivity and reduce adiposity in diet-induced obese mice by enhancing hepatic and peripheral insulin signaling [92].”
From Obesity: Clinical Impact, Pathophysiology, Complications, and Modern Innovations in Therapeutic Strategies (2025) · cites this paper as [92]
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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
Yamauchi, T., Kamon, J., Waki, H., Terauchi, Y., Kubota, N., Hara, K., Mori, Y., Ide, T., Murakami, K., Tsuboyama-Kasaoka, N., et al. (2001) · Nature Medicine · doi:10.1038/90984 · Cited by 4,915 · see citing works
Silencing of microRNAs in vivo with ‘antagomirs’
Krützfeldt, J., Rajewsky, N., Braich, R., Rajeev, K. G., Tuschl, T., Manoharan, M., & Stoffel, M. (2005) · Nature · doi:10.1038/nature04303 · Cited by 3,949 · see citing works
Self-citationCritical nodes in signalling pathways: insights into insulin action
Taniguchi, C. M., Emanuelli, B., & Kahn, C. R. (2006) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1837 · Cited by 2,760 · see citing works
Caveolin, a protein component of caveolae membrane coats
Rothberg, K. G., Heuser, J. E., Donzell, W. C., Ying, Y., Glenney, J. R., & Anderson, R. G. W. (1992) · Cell · doi:10.1016/0092-8674(92)90143-z · Cited by 2,259 · see citing works
Rational design of cationic lipids for siRNA delivery
Semple, S. C., Akinc, A., Chen, J., Sandhu, A. P., Mui, B. L., Cho, C. K., Sah, D. W. Y., Stebbing, D., Crosley, E. J., Yaworski, E., et al. (2010) · Nature Biotechnology · doi:10.1038/nbt.1602 · Cited by 1,822 · see citing works
The multiple faces of caveolae
Parton, R. G., & Simons, K. (2007) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2122 · Cited by 1,456 · see citing works
Molecular and metabolic mechanisms of insulin resistance and β-cell failure in type 2 diabetes
Muoio, D. M., & Newgard, C. B. (2008) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2327 · Cited by 1,177 · see citing works
MicroRNA-143 Regulates Adipocyte Differentiation
Esau, C., Kang, X., Peralta, E. R., Hanson, E. M., Marcusson, E. G., Ravichandran, L. V., Sun, Y., Koo, S., Perera, R. J., Jain, R., et al. (2004) · Journal of Biological Chemistry · doi:10.1074/jbc.c400438200 · Cited by 1,023 · see citing works
The role of adipose tissue dysfunction in the pathogenesis of obesity-related insulin resistance
Goossens, G. H. (2008) · Physiology & Behavior · doi:10.1016/j.physbeh.2007.10.010 · Cited by 591 · see citing works
Xie, H., Lim, B., & Lodish, H. F. (2009) · Diabetes · doi:10.2337/db08-1299 · Cited by 577 · see citing works
MicroRNAs: A new class of regulatory genes affecting metabolism
Krützfeldt, J., & Stoffel, M. (2006) · Cell Metabolism · doi:10.1016/j.cmet.2006.05.009 · Cited by 409 · see citing works
Self-citationMolecular Mechanisms and Therapeutic Targets in Steatosis and Steatohepatitis
Anderson, N., & Borlak, J. T. (2008) · Pharmacological Reviews · doi:10.1124/pr.108.00001 · 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
Cohen, A. W., Razani, B., Wang, X., Combs, T. P., Williams, T. M., Scherer, P. E., & Lisanti, M. P. (2003) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00006.2003 · Cited by 351 · see citing works
Caveolin Is an Activator of Insulin Receptor Signaling
Yamamoto, M., Toya, Y., Schwencke, C., Lisanti, M. P., Myers, M. G., & Ishikawa, Y. (1998) · Journal of Biological Chemistry · doi:10.1074/jbc.273.41.26962 · Cited by 302 · see citing works
Herrera, B. M., Lockstone, H. E., Taylor, J. M., Ria, M., Barrett, A., Collins, S. C., Kaisaki, P. J., Argoud, K., Fernández, C., Travers, M. E., et al. (2010) · Diabetologia · doi:10.1007/s00125-010-1667-2 · Cited by 287 · see citing works
MicroRNA let-7 regulates 3T3-L1 adipogenesis.
Sun, T.-W., Fu, M., Bookout, A., Kliewer, S., & Mangelsdorf, D. (2009) · Molecular Endocrinology · doi:10.1210/me.2008-0298 · Cited by 277 · see citing works
MicroRNA and 3T3-L1 pre-adipocyte differentiation
Kajimoto, K., Naraba, H., & Iwai, N. (2006) · RNA · doi:10.1261/rna.7228806 · Cited by 237 · see citing works
Role of caveolin and caveolae in insulin signaling and diabetes
Cohen, A. W., Combs, T. P., Scherer, P. E., & Lisanti, M. P. (2003) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00324.2003 · Cited by 220 · see citing works
Nyström, F. H., Chen, H., Cong, L.-N., Li, Y., & Quon, M. J. (1999) · Molecular Endocrinology · doi:10.1210/mend.13.12.0392 · Cited by 203 · see citing works
Minehira, K., Young, S. G., Villanueva, C. J., Yetukuri, L., Orešič, M., Hellerstein, M. K., Farese, R. V., Horton, J. D., Preitner, F., Thorens, B., et al. (2008) · Journal of Lipid Research · doi:10.1194/jlr.m800248-jlr200 · Cited by 163 · see citing works
Characterization of the Inhibitory Effect of Growth Hormone on Primary Preadipocyte Differentiation
Hansen, L., Madsen, B., Teisner, B., Nielsen, J. H., & Billestrup, N. (1998) · Molecular Endocrinology · doi:10.1210/mend.12.8.0154 · Cited by 118 · see citing works
Preitner, F., Mody, N., Graham, T. E., Peroni, O. D., & Kahn, B. B. (2009) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00362.2009 · Cited by 107 · see citing works
Tozzo, E., Shepherd, P. R., Gnudi, L., & Kahn, B. B. (1995) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1995.268.5.e956 · Cited by 82 · see citing works
Knockout Mice Challenge our Concepts of Glucose Homeostasis and the Pathogenesis of Diabetes
Kahn, C. R. (2003) · Journal of Diabetes Research · doi:10.1155/edr.2003.169 · Cited by 56 · see citing works
Caveolin gene transfer improves glucose metabolism in diabetic mice
Otsu, K., Toya, Y., Oshikawa, J., Kurotani, R., Yazawa, T., Sato, M., Yokoyama, U., Umemura, S., Minamisawa, S., Okumura, S., et al. (2009) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00077.2009 · Cited by 29 · see citing works
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MicroRNA therapeutics: towards a new era for the management of cancer and other diseases
Rupaimoole, R., & Slack, F. J. (2017) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.246 · Cited by 4,741 · see citing works
Jia, G., Hill, M. A., & Sowers, J. R. (2018) · Circulation Research · doi:10.1161/circresaha.117.311586 · Cited by 1,838 · see citing works
Adipose-derived circulating miRNAs regulate gene expression in other tissues
Thomou, T., Mori, M. A., Dreyfuss, J. M., Konishi, M., Sakaguchi, M., Wolfrum, C., Rao, T. N., Winnay, J. N., Garcia-Martin, R., Grinspoon, S. K., et al. (2017) · Nature · doi:10.1038/nature21365 · Cited by 1,539 · see citing works
Hammond, S. M. (2015) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2015.05.001 · Cited by 1,291 · see citing works
MicroRNAs in metabolism and metabolic disorders
Rottiers, V., & Näär, A. M. (2012) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3313 · Cited by 1,156 · see citing works
Therapeutic targeting of microRNAs: current status and future challenges
Li, Z., & Rana, T. M. (2014) · Nature Reviews Drug Discovery · doi:10.1038/nrd4359 · Cited by 1,028 · see citing works
Molecular mechanisms of diabetic cardiomyopathy
Bugger, H., & Abel, E. D. (2014) · Diabetologia · doi:10.1007/s00125-014-3171-6 · Cited by 903 · see citing works
Targeting noncoding RNAs in disease
Adams, B. D., Parsons, C., Walker, L., Zhang, W. C., & Slack, F. J. (2017) · Journal of Clinical Investigation · doi:10.1172/jci84424 · Cited by 676 · see citing works
MicroRNA-Based Diagnosis and Therapy
Ho, P. T. B., Clark, I. M., & Le, L. T. T. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23137167 · Cited by 630 · see citing works
MicroRNA therapeutics for cardiovascular disease: opportunities and obstacles
van Rooij, E., & Olson, E. N. (2012) · Nature Reviews Drug Discovery · doi:10.1038/nrd3864 · Cited by 620 · see citing works
The Liver as an Endocrine Organ—Linking NAFLD and Insulin Resistance
Watt, M. J., Miotto, P. M., De Nardo, W., & Montgomery, M. K. (2019) · Endocrine Reviews · doi:10.1210/er.2019-00034 · Cited by 615 · see citing works
Ratti, M., Lampis, A., Ghidini, M., Salati, M., Mirchev, M. B., Valeri, N., & Hahne, J. C. (2020) · Targeted Oncology · doi:10.1007/s11523-020-00717-x · Cited by 608 · see citing works
Circulating microRNAs as novel biomarkers for diabetes mellitus
Guay, C., & Regazzi, R. (2013) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2013.86 · Cited by 563 · see citing works
Inhibition of microRNA function by antimiR oligonucleotides
Stenvang, J., Petri, A., Lindow, M., Obad, S., & Kauppinen, S. (2012) · Silence · doi:10.1186/1758-907x-3-1 · Cited by 556 · see citing works
Developing MicroRNA Therapeutics
van Rooij, E., Purcell, A. L., & Levin, A. A. (2012) · Circulation Research · doi:10.1161/circresaha.111.247916 · Cited by 498 · see citing works
Control of glucose homeostasis and insulin sensitivity by the Let-7 family of microRNAs
Frost, R. J., & Olson, E. N. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1118922109 · Cited by 448 · see citing works
Interplay between miRNAs and human diseases
Paul, P., Chakraborty, A., Sarkar, D., Langthasa, M., Rahman, M., Bari, M., Singha, R. S., Malakar, A. K., & Chakraborty, S. (2018) · Journal of Cellular Physiology · doi:10.1002/jcp.25854 · Cited by 420 · see citing works
Current and upcoming pharmacotherapy for non-alcoholic fatty liver disease
Rotman, Y., & Sanyal, A. J. (2016) · Gut · doi:10.1136/gutjnl-2016-312431 · Cited by 410 · see citing works
Microbiota depletion promotes browning of white adipose tissue and reduces obesity
Suárez-Zamorano, N., Fabbiano, S., Chevalier, C., Stojanović, O., Colin, D. J., Stevanović, A., Veyrat-Durebex, C., Tarallo, V., Rigo, D., Germain, S., et al. (2015) · Nature Medicine · doi:10.1038/nm.3994 · Cited by 403 · see citing works
Self-citationInsulin Receptor Isoforms in Physiology and Disease: An Updated View
Belfiore, A., Malaguarnera, R., Vella, V., Lawrence, M. C., Sciacca, L., Frasca, F., Morrione, A., & Vigneri, R. (2017) · Endocrine Reviews · doi:10.1210/er.2017-00073 · Cited by 376 · see citing works
Vienberg, S. G., Geiger, J., Madsen, S., & Dalgaard, L. T. (2016) · Acta Physiologica · doi:10.1111/apha.12681 · Cited by 375 · see citing works
MicroRNAs and their roles in aging
Smith-Vikos, T., & Slack, F. J. (2012) · Journal of Cell Science · doi:10.1242/jcs.099200 · Cited by 371 · see citing works
A Cardiac MicroRNA Governs Systemic Energy Homeostasis by Regulation of MED13
Grueter, C. E., van Rooij, E., Johnson, B. A., DeLeon, S. M., Sutherland, L. B., Qi, X., Gautron, L., Elmquist, J. K., Bassel‐Duby, R., & Olson, E. N. (2012) · Cell · doi:10.1016/j.cell.2012.03.029 · Cited by 365 · see citing works
MicroRNA-mediated regulation of glucose and lipid metabolism
Agbu, P., & Carthew, R. W. (2021) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-021-00354-w · Cited by 368 · see citing works
MicroRNAs in Common Human Diseases
Li, Y., & Kowdley, K. V. (2012) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2012.07.005 · Cited by 363 · see citing works
Deiuliis, J. A. (2015) · International Journal of Obesity · doi:10.1038/ijo.2015.170 · Cited by 352 · see citing works
Obesity-induced overexpression of miR-802 impairs glucose metabolism through silencing of Hnf1b
Kornfeld, J., Baitzel, C., Könner, A. C., Nicholls, H. T., Vogt, M. C., Herrmanns, K., Scheja, L., Haumaître, C., Wolf, A. M., Knippschild, U., et al. (2013) · Nature · doi:10.1038/nature11793 · Cited by 349 · see citing works
Self-citationLipid rafts in immune signalling: current progress and future perspective
Varshney, P., Yadav, V., & Saini, N. (2016) · Immunology · doi:10.1111/imm.12617 · Cited by 336 · see citing works
Adult-specific functions of animal microRNAs
Sun, K., & Lai, E. C. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3471 · Cited by 333 · see citing works
Epigenetic Regulation of the DLK1-MEG3 MicroRNA Cluster in Human Type 2 Diabetic Islets
Kameswaran, V., Bramswig, N. C., McKenna, L. B., Penn, M. M. C., Schug, J., Hand, N. J., Chen, Y., Choi, I., Vourekas, A., Won, K., et al. (2014) · Cell Metabolism · doi:10.1016/j.cmet.2013.11.016 · Cited by 318 · see citing works
The gut microbiota regulates white adipose tissue inflammation and obesity via a family of microRNAs
Virtue, A. T., McCright, S. J., Wright, J. M., Jimenez, M. T., Mowel, W. K., Kotzin, J. J., Joannas, L., Basavappa, M. G., Spencer, S. P., Clark, M. L., et al. (2019) · Science Translational Medicine · doi:10.1126/scitranslmed.aav1892 · Cited by 317 · see citing works
Lipid-based carriers of microRNAs and intercellular communication
Vickers, K. C., & Remaley, A. T. (2012) · Current Opinion in Lipidology · doi:10.1097/mol.0b013e328350a425 · Cited by 314 · see citing works
Selective Insulin and Leptin Resistance in Metabolic Disorders
Könner, A. C., & Brüning, J. C. (2012) · Cell Metabolism · doi:10.1016/j.cmet.2012.07.004 · Cited by 304 · see citing works
Control of mitochondrial metabolism and systemic energy homeostasis by microRNAs 378 and 378*
Carrer, M., Liu, N., Grueter, C. E., Williams, A. H., Frisard, M. I., Hulver, M. W., Bassel‐Duby, R., & Olson, E. N. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1207605109 · Cited by 302 · see citing works
Soh, J., Iqbal, J., Queiroz, J., Fernandez-Hernando, C. F., & Hussain, M. M. (2013) · Nature Medicine · doi:10.1038/nm.3200 · Cited by 301 · see citing works
MicroRNAs in cardiovascular disease: from pathogenesis to prevention and treatment
Quiat, D., & Olson, E. N. (2013) · Journal of Clinical Investigation · doi:10.1172/jci62876 · Cited by 302 · see citing works
The miRNA Plasma Signature in Response to Acute Aerobic Exercise and Endurance Training
Nielsen, S. J., Akerstrom, T. C. A., Rinnov, A., Yfanti, C., Schéele, C., Pedersen, B. K., & Laye, M. J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0087308 · Cited by 299 · see citing works
Nielsen, L. B., Wang, C., Sørensen, K., Bang‐Berthelsen, C. H., Hansen, L. B., Andersen, M.-L. M., Hougaard, P., Juul, A., Zhang, C., Pociot, F., et al. (2012) · Experimental Diabetes Research · doi:10.1155/2012/896362 · Cited by 289 · see citing works
A metabolic stress-inducible miR-34a-HNF4α pathway regulates lipid and lipoprotein metabolism
Xu, Y., Zalzala, M. H., Xu, J., Li, Y., Yin, L., & Zhang, Y. (2015) · Nature Communications · doi:10.1038/ncomms8466 · Cited by 277 · see citing works
Zhu, H., & Leung, S. W. (2015) · Diabetologia · doi:10.1007/s00125-015-3510-2 · Cited by 272 · see citing works
Wang, J., Zhang, X.-J., Li, Q., Wang, K., Wang, Y., Jiao, J.-Q., Feng, C., Sun, T., Zhou, L., Gong, Y., et al. (2015) · Circulation Research · doi:10.1161/circresaha.117.305781 · Cited by 265 · see citing works
MyomiR-133 regulates brown fat differentiation through Prdm16
Trajkovski, M., Ahmed, K., Esau, C., & Stoffel, M. (2012) · Nature Cell Biology · doi:10.1038/ncb2612 · Cited by 263 · see citing works
Self-citationIdentification of miR-148a as a novel regulator of cholesterol metabolism
Goedeke, L., Rotllan, N., Canfrán-Duque, A., Aranda, J. F., Ramírez, C., Araldi, E., Lin, C.-S., Anderson, N., Wagschal, A., de Cabo, R., et al. (2015) · Nature Medicine · doi:10.1038/nm.3949 · Cited by 217 · see citing works
Pescador, N., Pérez‐Barba, M., Ibarra, J. M., Anchuelo, A. C., Martínez-Larrad, M. T., & Serrano‐Ríos, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0077251 · Cited by 259 · 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
The clinical potential of circulating microRNAs in obesity
Ji, C., & Guo, X. (2019) · Nature Reviews Endocrinology · doi:10.1038/s41574-019-0260-0 · Cited by 260 · see citing works
Vollmers, C., Schmitz, R. J., Nathanson, J. L., Yeo, G. W.-M., Ecker, J. R., & Panda, S. (2012) · Cell Metabolism · doi:10.1016/j.cmet.2012.11.004 · Cited by 253 · see citing works
MicroRNA-based therapeutics in central nervous system injuries
Sun, P., Liu, D., Jickling, G. C., Sharp, F. R., & Yin, K. (2018) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x18773871 · Cited by 256 · see citing works
Choi, S., Fu, T., Seok, S., Kim, D., Yu, E., Lee, K. W., KANG, Y. Y., Li, X., KEMPER, B. W., & Kemper, J. K. (2013) · Aging Cell · doi:10.1111/acel.12135 · Cited by 249 · see citing works
MicroRNA-26a regulates insulin sensitivity and metabolism of glucose and lipids
Fu, X., Dong, B., Tian, Y., Lefèbvre, P., Meng, Z., Wang, X., Pattou, F. N., Han, W., Wang, X., Lou, F., et al. (2015) · Journal of Clinical Investigation · doi:10.1172/jci75438 · Cited by 247 · see citing works
MicroRNAs in Vascular and Metabolic Disease
Zampetaki, A., & Mayr, M. (2012) · Circulation Research · doi:10.1161/circresaha.111.247445 · Cited by 242 · see citing works
Mantel, P., Hjelmqvist, D. T., Walch, M., Kharoubi‐Hess, S., Nilsson, S., Ravel, D., Ribeiro, M., Grüring, C., Ma, S., Padmanabhan, P. K., et al. (2016) · Nature Communications · doi:10.1038/ncomms12727 · Cited by 236 · see citing works
Chakraborty, C., Doss, C. G. P., Bandyopadhyay, S., & Agoramoorthy, G. (2014) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1240 · Cited by 239 · see citing works
Gut Microbiota as an Epigenetic Regulator: Pilot Study Based on Whole-Genome Methylation Analysis
Kumar, H., Lund, R., Laiho, A., Lundelin, K. J., Ley, R. E., Isolauri, E., & Salminen, S. (2014) · mBio · doi:10.1128/mbio.02113-14 · Cited by 234 · see citing works
Role of microRNAs in obesity and obesity-related diseases
Iacomino, G., & Siani, A. (2017) · Genes & Nutrition · doi:10.1186/s12263-017-0577-z · Cited by 225 · see citing works
Zheng, T., Yang, X., Wu, D., Xing, S., Bian, F., Li, W., Chi, J., Bai, X., Wu, G., Chen, X., et al. (2015) · British Journal of Pharmacology · doi:10.1111/bph.13120 · Cited by 221 · see citing works
Biomarkers of liver cell death
Eguchi, A., Wree, A., & Feldstein, A. E. (2014) · Journal of Hepatology · doi:10.1016/j.jhep.2013.12.026 · Cited by 220 · see citing works
MicroRNAs and Metabolism Crosstalk in Energy Homeostasis
Dumortier, O., Hinault, C., & OBBERGHEN, E. V. (2013) · Cell Metabolism · doi:10.1016/j.cmet.2013.06.004 · Cited by 212 · see citing works
Roles of microRNA on cancer cell metabolism
Chen, B., Li, H., Zeng, X., Yang, P., Liu, X., Zhao, X., & Liang, S. (2012) · Journal of Translational Medicine · doi:10.1186/1479-5876-10-228 · Cited by 205 · see citing works
Spatial sorting enables comprehensive characterization of liver zonation
Ben-Moshe, S., Shapira, Y., Moor, A. E., Manco, R., Veg, T., Bahar Halpern, K., & Itzkovitz, S. (2019) · Nature Metabolism · doi:10.1038/s42255-019-0109-9 · Cited by 205 · see citing works
Spatial sorting enables comprehensive characterization of liver zonation
Ben-Moshe, S., Shapira, Y., Moor, A. E., Halpern, K. B., & Itzkovitz, S. (2019) · doi:10.1101/529784 · Cited by 205 · see citing works
van de Bunt, M., Gaulton, K. J., Parts, L., Morán, I., Johnson, P. R. V., Lindgren, C. M., Ferrer, J. P., Gloyn, A. L., & McCarthy, M. I. (2013) · PLoS ONE · doi:10.1371/journal.pone.0055272 · Cited by 197 · see citing works
Antidiabetic Potential of Flavonoids from Traditional Chinese Medicine: A Review
Bai, L., Li, X., He, L., Zheng, Y., Lu, H., Li, J., Zhong, L., Tong, R., Jiang, Z., Shi, J., et al. (2019) · The American Journal of Chinese Medicine · doi:10.1142/s0192415x19500496 · Cited by 202 · see citing works
Spinetti, G., Fortunato, O., Caporali, A., Shantikumar, S., Marchetti, M., Meloni, M., Descamps, B., Floris, I., Sangalli, E., Vono, R., et al. (2012) · Circulation Research · doi:10.1161/circresaha.111.300418 · Cited by 198 · see citing works
Of mice and men: models and mechanisms of diabetic cardiomyopathy
Riehle, C., & Bauersachs, J. K. (2018) · Basic Research in Cardiology · doi:10.1007/s00395-018-0711-0 · Cited by 199 · see citing works
Regulation of metabolism by long, non-coding RNAs
Kornfeld, J., & Brüning, J. C. (2014) · Frontiers in Genetics · doi:10.3389/fgene.2014.00057 · Cited by 194 · see citing works
Glucose metabolism after bariatric surgery: implications for T2DM remission and hypoglycaemia
Sandoval, D. A., & Patti, M. (2022) · Nature Reviews Endocrinology · doi:10.1038/s41574-022-00757-5 · Cited by 190 · see citing works
Mori, M. A., Thomou, T., Boucher, J., Lee, K. Y., Lallukka, S., Kim, J. K., Torriani, M., Yki‐Järvinen, H., Grinspoon, S. K., Cypess, A. M., et al. (2014) · Journal of Clinical Investigation · doi:10.1172/jci73468 · Cited by 183 · see citing works
Loganathan, T., & Doss, C. G. P. (2023) · Functional & Integrative Genomics · doi:10.1007/s10142-022-00947-4 · Cited by 190 · see citing works
Brümmer, A., & Hausser, J. (2014) · BioEssays · doi:10.1002/bies.201300104 · Cited by 185 · see citing works
Self-citationHubal, M. J., Nadler, E. P., Ferrante, S. C., Barberio, M. D., Suh, J., Wang, J. Z., Dohm, G. L., Pories, W. J., Mietus‐Snyder, M., & Freishtat, R. J. (2016) · Obesity · doi:10.1002/oby.21709 · Cited by 181 · see citing works
Molecular Targets Related to Inflammation and Insulin Resistance and Potential Interventions
Hirabara, S. M., Gorjão, R., Vinolo, M. A. R., Rodrigues, A. C., Nachbar, R. T., & Curi, R. (2012) · BioMed Research International · doi:10.1155/2012/379024 · Cited by 178 · see citing works
Chen, X., Guan, N., Sun, Y., Li, J., & Qu, J. (2018) · Briefings in Bioinformatics · doi:10.1093/bib/bby098 · Cited by 177 · see citing works
MicroRNAs in adipose tissue: their role in adipogenesis and obesity
Hilton, C., Neville, M. J., & Karpe, F. (2012) · International Journal of Obesity · doi:10.1038/ijo.2012.59 · Cited by 174 · see citing works
Zuo, B., Zhu, J., Li, J., Wang, C., Zhao, X., Cai, G., Li, Z., Peng, J., Wang, P., Shen, C., et al. (2014) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.2352 · Cited by 172 · see citing works
Strategies, models and biomarkers in experimental non-alcoholic fatty liver disease research
Willebrords, J., Pereira, I. V. A., Maes, M., Yanguas, S. C., Colle, I. O., Bossche, B. V. D., da Silva, T. C., de Oliveira, C. P. M. S., Andraus, W., Alves, V. A. F., et al. (2015) · Progress in Lipid Research · doi:10.1016/j.plipres.2015.05.002 · Cited by 172 · see citing works
Current Advances in RNA Therapeutics for Human Diseases
Zogg, H., Singh, R., & Ro, S. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23052736 · Cited by 173 · see citing works
Lai, X., Eberhardt, M., Schmitz, U., & Vera, J. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz638 · Cited by 169 · see citing works
MicroRNAs in non-alcoholic fatty liver disease: Progress and perspectives
Hochreuter, M. Y., Dall, M., Treebak, J. T., & Barrès, R. (2022) · Molecular Metabolism · doi:10.1016/j.molmet.2022.101581 · Cited by 171 · see citing works
Microvesicles/exosomes as potential novel biomarkers of metabolic diseases
ller, G. M. A. U. (2012) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s32923 · Cited by 169 · see citing works
Insulin Resistance and Cancer: In Search for a Causal Link
CHIEFARI, E. D., Mirabelli, M., Vignera, S. L., Tanyolaç, S., FOTI, D. P., Aversa, A., & Brunetti, A. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222011137 · Cited by 175 · see citing works
Adipose Organ Development and Remodeling
Cinti, S. (2018) · Comprehensive physiology · doi:10.1002/cphy.c170042 · Cited by 187 · see citing works
Free radicals and male reproduction.
Agarwal, A. K., & Allamaneni, S. S. R. (2011) · PubMed · Cited by 154 · see citing works
Srivastava, S. K., Bhardwaj, A., Singh, S., Arora, S., Wang, B., Grizzle, W. E., & Singh, A. P. (2011) · Carcinogenesis · doi:10.1093/carcin/bgr223 · Cited by 162 · see citing works
Metabolic memory: mechanisms and diseases
Dong, H., Sun, Y., Nie, L., Cui, A., Zhao, P., Leung, W. K., & Wang, Q. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01755-x · Cited by 181 · see citing works
Zhang, Z., Li, F., Tian, Y., Cao, L., Gao, Q., Zhang, C., Zhang, K., Shen, C., Ping, Y., Maimela, N. R., et al. (2020) · The Journal of Immunology · doi:10.4049/jimmunol.1901213 · Cited by 159 · see citing works
MiR-27 orchestrates the transcriptional regulation of brown adipogenesis
Sun, L., & Trajkovski, M. (2013) · Metabolism · doi:10.1016/j.metabol.2013.10.004 · Cited by 155 · 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
MicroRNAs in Insulin Resistance and Obesity
Williams, M. D., & Mitchell, G. M. (2012) · Experimental Diabetes Research · doi:10.1155/2012/484696 · Cited by 153 · see citing works
The Epigenetic Connection Between the Gut Microbiome in Obesity and Diabetes
Sharma, M., Li, Y., Stoll, M. L., & Tollefsbol, T. O. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2019.01329 · Cited by 152 · see citing works
Elevated circulating microRNA-122 is associated with obesity and insulin resistance in young adults
Wang, R., Hong, J., Cao, Y., Shi, J., Gu, W., Ning, G., Zhang, Y., & Wang, W. (2014) · European Journal of Endocrinology · doi:10.1530/eje-14-0867 · Cited by 151 · see citing works
Fu, T., Choi, S.-E., Kim, D.-H., Seok, S., Suino-Powell, K., Xu, H., & Kemper, J. (2012) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.1205951109 · Cited by 143 · see citing works
The Early Origins of Obesity and Insulin Resistance: Timing, Programming and Mechanisms
Nicholas, L. M., Morrison, J. L., Rattanatray, L., Zhang, S., Ozanne, S. E., & McMillen, I. C. (2016) · International Journal of Obesity · doi:10.1038/ijo.2015.178 · Cited by 146 · see citing works
N6-Adenosine Methylation in MiRNAs
Berulava, T., Rahmann, S., Rademacher, K., Klein‐Hitpass, L., & Horsthemke, B. (2015) · PLoS ONE · doi:10.1371/journal.pone.0118438 · Cited by 144 · see citing works
Role of microRNAs in the modulation of diabetic retinopathy
Mastropasqua, R., Toto, L., Cipollone, F., Santovito, D., Carpineto, P., & Mastropasqua, L. (2014) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2014.07.003 · Cited by 143 · see citing works
Regulatory Roles of MicroRNAs in Diabetes
Feng, J., Xing, W., & Xie, L. (2016) · International Journal of Molecular Sciences · doi:10.3390/ijms17101729 · Cited by 141 · see citing works
MicroRNA-based therapeutics in cardiovascular disease: screening and delivery to the target
Mellis, D. J., & Caporali, A. (2017) · Biochemical Society Transactions · doi:10.1042/bst20170037 · Cited by 138 · see citing works
Hartmann, P., Zhou, Z., Natarelli, L., Wei, Y., Nazari-Jahantigh, M., Zhu, M., Grommes, J., Steffens, S., Weber, C., & Schober, A. (2016) · Nature Communications · doi:10.1038/ncomms10521 · Cited by 140 · see citing works
MiR-103a-3p targets the 5′ UTR of GPRC5A in pancreatic cells
Zhou, H., & Rigoutsos, I. (2014) · RNA · doi:10.1261/rna.045757.114 · Cited by 135 · see citing works
Sun, X., Lin, J., Zhang, Y., Kang, S., Belkin, N., Wara, A. K., Icli, B., Hamburg, N. M., Li, D., & Feinberg, M. W. (2016) · Circulation Research · doi:10.1161/circresaha.115.308166 · Cited by 133 · see citing works
- Authors
- Trajkovski, M., Hausser, J., Soutschek, J., Bhat, B., Akin, A., Zavolan, M., Heim, M. H., & Stoffel, M.
- Affiliations
- ETH Zurich (CH)
- University of Basel (CH)
- Regulus Therapeutics (United States) (US)
- University Hospital of Basel (CH)
- Corresponding author
- Stoffel, Markus
- Venue
- Nature
- Published
- 2011-06
- Volume
- 474
- Issue
- 7353
- Pages
- 649-653
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2075317528
- Cited by
- 1,000
- References
- 27
- Citations by year
- 2026: 36 · 2025: 34 · 2024: 54 · 2023: 45 · 2022: 61 · 2021: 61 · 2020: 71 · 2019: 68 · 2018: 80 · 2017: 65 · 2016: 98 · 2015: 90 · 2014: 90 · 2013: 77 · 2012: 57
- FWCI
- 25.77
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Archive ouverte UNIGE (University of Geneva) (publishedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- BIROn (Birkbeck, University of London) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
- Funders
- National Science Foundation
- Juvenile Diabetes Research Foundation International
- Fondation Leducq
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolism, Diabetes, and Cancer
- Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
- Keywords
- microRNA-107, insulin sensitivity, caveolin-1, insulin signaling, insulin receptor, glucose homeostasis, obesity, type 2 diabetes, adipocytes, liver, insulin-stimulated glucose uptake, adipocyte size, miRNA target genes
- MeSH terms
- Animals, Diabetes Mellitus, Type 2, Disease Models, Animal, Gene Expression Regulation, Glucose, Homeostasis, Hyperglycemia, Insulin, Liver, Male, Mice, Inbred C57BL, Signal Transduction, Up-Regulation, Gene Expression, Adipocytes, Gene Silencing, MicroRNAs, Cell Size, Caveolin 1, Mice
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