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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 [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
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
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
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
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
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
The multiple faces of caveolae
Parton, R. G., & Simons, K. (2007) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2122 · Cited by 1,456
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
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
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
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Kımna, C., & Lieleg, O. (2020) · Biophysics Reviews · doi:10.1063/5.0033378 · Cited by 5
Takahashi, K., Jia, H., Takahashi, S., & Kato, H. (2021) · Genes · doi:10.3390/genes13010075 · Cited by 5
Seed targeting with tiny anti-miR-1297 inhibits EMT in melanoma cells
Han, Y., Li, X., Ma, C., Ji, X., Li, T., Zheng, X., Zhang, J., Yan, J., Zhang, D., & Bai, J. (2018) · Journal of drug targeting · doi:10.1080/1061186x.2018.1481412 · Cited by 5
Hepatic miR‑215 target Rictor and modulation of hepatic insulin signalling in rats
Li, W., Jin-rong, X., & Lian, Y. (2019) · Molecular Medicine Reports · doi:10.3892/mmr.2019.10031 · Cited by 5
Nagahama, K., Iseda, K., Kawano, D., & Kawakami, J. (2017) · Biochimie · doi:10.1016/j.biochi.2017.03.003 · Cited by 5
Mendelian Disorders of Membrane Trafficking
Masotti, A. (2011) · New England Journal of Medicine · doi:10.1056/nejmc1111685 · Cited by 5
Exploring the Link Between the Gut Microbiota and Epigenetic Factors in Anorexia Nervosa
Korten, N. M., Thelen, A. C., Voelz, C., Beyer, C., Seitz, J., Trinh, S., & Blischke, L. (2025) · Brain and Behavior · doi:10.1002/brb3.70733 · Cited by 5
Repression of Cathepsin D Expression in Adipocytes by MicroRNA-145
Kim, H., Bae, I.-S., Seo, K.-S., & Kim, S. H. (2014) · Journal of Life Science · doi:10.5352/jls.2014.24.7.798 · Cited by 4
Kong, D., Ya, D., Wang, J., & Liu, Y. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.994953 · Cited by 4
Navarro-Díaz, M., & López-Martínez, M. (2025) · Biomedicines · doi:10.3390/biomedicines13051030 · Cited by 4
Continuous Delivery of Oligonucleotides into the Brain
Vinnikov, I. A., Domanskyi, A., & Konopka, W. (2016) · Neuromethods · doi:10.1007/7657_2016_3 · Cited by 4
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Luong, Q. V., & Lee, K. Y. (2018) · InTech eBooks · doi:10.5772/intechopen.76898 · Cited by 5
Lipolysis by downregulating miR‑92a activates the Wnt/β‑catenin signaling pathway in hypoxic rats
Cheng, J., Song, Q., Yang, Y., Sun, Z., Tian, X., Tian, X., & Feng, L. (2020) · Biomedical Reports · doi:10.3892/br.2020.1340 · Cited by 4
Effect of adipose‐derived exosome and exosomal miRNA on glycolipid metabolism
Xie, D., Li, J., Jiang, P., Xue, X., & Wu, L. (2022) · Clinical and Translational Discovery · doi:10.1002/ctd2.134 · Cited by 4
Alhajri, N., Rustom, M., Adegbile, A., Ahmed, W., Kilidar, S., & Afify, N. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms231911421 · Cited by 6
Madhoun, A. S. A., Haddad, D., Nizam, R., Miranda, L., Kochumon, S., Thomas, R., Thanaraj, T. A., Ahmad, R., Bitar, M. S., & Al‐Mulla, F. (2022) · Cells · doi:10.3390/cells11233937 · Cited by 4
Changes in microRNAs during Storage and Processing of Breast Milk
Kim, J. H., Kim, K.-U., Min, H., Lee, E. S., Lim, I. S., Song, J., Kang, I., & Yi, D. Y. (2023) · Metabolites · doi:10.3390/metabo13020139 · Cited by 4
Nicholas, L. M., & McMillen, I. C. (2016) · Springer eBooks · doi:10.1007/978-1-4939-6386-7_7 · Cited by 3
Koushki, M., Zare, M., Shabani, M., Teimouri, M., Hosseini, H., Khorzoughi, R. B., & Meshkani, R. (2020) · PubMed Central · doi:10.22037/ijpr.2019.111745.13332 · Cited by 4
Mohammadi, S. (2014) · Journal of Metabolic Syndrome · doi:10.4172/2167-0943.1000158 · Cited by 4
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Banu, J. (2016) · Journal of Endocrinology and Diabetes · doi:10.15226/2374-6890/3/1/00140 · Cited by 4
The effect of xenobiotics on microRNA expression in the rat liver
Gulyaeva, L. F., Дамирович, Ч. М., Kolmykov, S. K., Ушаков, Д. С., & Nechkin, S. (2016) · Biochemistry (Moscow) Supplement Series B Biomedical Chemistry · doi:10.1134/s1990750816030033 · Cited by 4
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MicroRNAs in metabolic syndrome: Mechanisms, diagnosis, and therapy
Rahman, M. A., Islam, M. M., Islam, M. M., Ripon, M. A. R., & Hossain, M. S. (2025) · Advances in clinical chemistry · doi:10.1016/bs.acc.2025.06.003 · Cited by 4
Precision cellular imaging: ratiometric fluorescence techniques for tracking intracellular MicroRNAs
Kim, J., & Nam, Y. S. (2025) · Chemical Engineering Journal · doi:10.1016/j.cej.2025.168984 · Cited by 3
The miR-200 family in type 2 diabetes: therapeutic and biomarker perspectives
Ajonijebu, T. E., & Mazibuko-Mbeje, S. E. (2025) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2025.109211 · Cited by 3
The Interplay Between Cytokines and MicroRNAs to Regulate Metabolic Disorders
Zhang, L., Zhang, L., Chen, H., & Xu, X. (2024) · Journal of Interferon & Cytokine Research · doi:10.1089/jir.2024.0059 · Cited by 4
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Meiliana, A., & Wijaya, A. (2014) · The Indonesian Biomedical Journal · doi:10.18585/inabj.v6i1.39 · Cited by 3
Therapeutic potential of miRNAs in diabetes mellitus
Hénaoui, I. S., Stoll, L., Tugay, K., & Regazzi, R. (2014) · Expert Review of Endocrinology & Metabolism · doi:10.1586/17446651.2015.996131 · Cited by 3
Mann, J. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-804274-8.00015-1 · Cited by 3
Wu, S., Guo, W., Liang, S., Lü, H., Sun, W., Ren, X., Sun, Q., & Yang, X. (2018) · Scientific Reports · doi:10.1038/s41598-017-18674-3 · Cited by 3
Recent applications of RNA therapeutic in clinics
Thi, H. T. H., & Than, V. T. (2024) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2023.12.015 · Cited by 3
Unveiling the role of microRNAs in metabolic dysregulation of Gestational Diabetes Mellitus
He, L., Wang, X., & Chen, X. (2024) · Reproductive Biology · doi:10.1016/j.repbio.2024.100924 · Cited by 4
Association of MicroRNA-103 expression with type 2 diabetes mellitus.
Rafiee, M., Sadeghi, F., Mirzapour, A., Khafri, S., Korani, B., Al-e-Ahmad, A., & Parsian, H. (2025) · PubMed Central · doi:10.22088/cjim.16.1.106 · Cited by 3
Milan, K. L., Anuradha, M., & Ramkumar, K. M. (2024) · Journal of Reproductive Immunology · doi:10.1016/j.jri.2024.104422 · Cited by 3
Li, T., Xu, L., Shen, P., Qiu, J., Wang, Y., Hu, J., Guan, P., Lin, H., Jiang, Z., Chen, K., et al. (2025) · Environmental Pollution · doi:10.1016/j.envpol.2025.125750 · Cited by 3
Szweda-Gandor, N., & Łaczmański, Ł. (2016) · Clinical Diabetology · doi:10.5603/dk.2016.0016 · Cited by 3
MicroRNAs: Decoders of Dysbiosis into Metabolic Diseases?
Sérino, M. (2016) · Journal of Diabetes & Metabolism · doi:10.4172/2155-6156.1000698 · Cited by 2
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Chang, C. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-420135-4.00017-6 · Cited by 3
Implications of microRNA in kidney metabolic disorders
Zhou, Y., & Yang, J. (2020) · ExRNA · doi:10.1186/s41544-019-0042-9 · Cited by 3
MicroRNAs and Their Antagonists as Novel Therapeutics
Vinther, J., Rukov, J. L., & Shomron, N. (2012) · RNA technologies · doi:10.1007/978-3-642-27426-8_20 · Cited by 3
Mandal, A. (2022) · Veterinary medicine and science · doi:10.5772/intechopen.108151 · Cited by 2
Jiang, M. (2022) · ThinkIR: The University of Louisville's Institutional Repository (University of Louisville) · doi:10.18297/etd/3822 · Cited by 3
Nguyen, M. T., & Lee, W. (2023) · Korean Journal of Physiology and Pharmacology · doi:10.4196/kjpp.2023.27.3.277 · Cited by 2
MicroRNAs: Tiny biomolecules with soaring impact in regulation of metabolic syndrome
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Mandal, A. K., & Chakraborty, S. K. (2025) · Journal of Drug Delivery and Therapeutics · doi:10.22270/jddt.v15i8.7336 · Cited by 2
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András, P., & Andras, A. (2012) · Medical Hypotheses · doi:10.1016/j.mehy.2012.11.023 · Cited by 2
Айтбаев, К. А., Калиевна, М. С., Murkamilov, I. T., Fomin, V. V., Kudaibergenova, I., Абдилалимовна, М. Ж., & Yusupov, F. A. (2021) · Bulletin of Science and Practice · doi:10.33619/2414-2948/66/17 · Cited by 2
Update on MicroRNA-based Treatment Strategies
Hesse, E., Jakob, F. J., & Taipaleenmäki, H. (2021) · Osteologie/Osteology · doi:10.1055/a-1545-7927 · Cited by 2
Liu, J., Meng, L., Liu, Z., Lü, M., & Wang, R. (2024) · Scientific Reports · doi:10.1038/s41598-024-57794-5 · Cited by 2
Shree, N., Meruvu, S., Park, M. H., & Choudhury, M. (2024) · Obesities · doi:10.3390/obesities4020010 · Cited by 2
Dysbiosis–epigenetics–immune system interaction and ageing health problems
Eshkoor, S. A., & Fanijavadi, S. (2024) · Journal of Medical Microbiology · doi:10.1099/jmm.0.001921 · Cited by 2
Shnayder, N. A., Pekarets, N. I., Pekarets, N. I., Дмитренко, Д. В., Владимировна, Г. В., Петрова, М. М., Al-Zamil, M., & Nasyrova, R. F. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14072432 · Cited by 2
Shnayder, N. A., Nasyrova, R. F., Pekarets, N. I., Владимировна, Г. В., & Петрова, М. М. (2025) · Safety and Risk of Pharmacotherapy · doi:10.30895/2312-7821-2025-478 · Cited by 2
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Fu, X. (2017) · Scientia Sinica Vitae · doi:10.1360/n052017-00060 · Cited by 2
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Malinowska, A. L., & Hall, J. (2019) · Royal Society of Chemistry eBooks · doi:10.1039/9781788015714-00151 · Cited by 2
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Gray, S. G. (2012) · Elsevier eBooks · doi:10.1016/b978-0-12-388415-2.00017-2 · Cited by 2
Therapeutic modulation of microRNAs
Chau, B. N., Esau, C., MacKenna, D. A., Neben, S., & Gibson, N. W. (2013) · Drug Discovery Today Therapeutic Strategies · doi:10.1016/j.ddstr.2013.12.002 · Cited by 2
SPYSMDA: SPY Strategy-Based MiRNA-Disease Association Prediction
Jiang, Z., Shen, Z., & Bao, W. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-63312-1_40 · Cited by 2
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Yamakuchi, M., Panta, S., & Hashiguchi, T. (2018) · InTech eBooks · doi:10.5772/intechopen.75461 · Cited by 2
MicroRNAs in Liver Regeneration
Yang, D., Möbus, S., Balakrishnan, A., & Sharma, A. D. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-405544-5.00036-8 · Cited by 2
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Nan, X., Wang, J., Chen, H., & Hu, H. (2013) · ACTA AGRONOMICA SINICA · doi:10.3724/sp.j.1206.2012.00223 · Cited by 2
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Yzydorczyk, C., Mitanchez, D., Boubred, F., & Siméoni, U. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-800093-9.00001-6 · Cited by 3
Metabolic surgery in Zucker rats influenced miRNA, caveolin-1 expression and lipid metabolism
Stygar, D. M., Sawczyn, T., Skrzep-Poloczek, B., Poloczek, J., Kłosok, M., Karcz-Socha, I., Fink, J. M., Skonieczna, M., Elsner, M., Doleżych, B., et al. (2015) · Open Life Sciences · doi:10.1515/biol-2015-0047 · Cited by 2
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Meiliana, A., & Wijaya, A. (2013) · The Indonesian Biomedical Journal · doi:10.18585/inabj.v5i2.55 · Cited by 2
Nutritional influence on miRNA epigenetic regulation
Meruvu, S., Schütz, L. F., & Choudhury, M. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-813862-5.00016-5 · Cited by 2
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Biju, B., Chhabra, S. S., & Sarkar, C. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.01.31.917831 · Cited by 2
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Yin, Q., Hu, J., Zhou, Q., Weng, J., Shen, E., Wen, F., Liu, S.-L., Yin, L., Tong, Y.-J., Long, L., et al. (2024) · The Breast Journal · doi:10.1155/2024/5202941 · Cited by 1
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Shnayder, N. A., Nasyrova, R. F., Pekarets, N. I., Владимировна, Г. В., & Петрова, М. М. (2025) · Safety and Risk of Pharmacotherapy · doi:10.30895/2312-7821-2025-499 · Cited by 1
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Meng, Z., Sewell-Loftin, M. K., Thomas, V., Ma, X., & Wang, Y. (2025) · Current Opinion in Physiology · doi:10.1016/j.cophys.2025.100862 · Cited by 1
Papachatzi, E., Gkouti, E., Kouvela, A., Benou, S., Dimitriou, G., Fouzas, S., Stamatopoulou, V., & Gkentzi, D. (2025) · Children · doi:10.3390/children12111573 · Cited by 1
Nwokwu, C. D. U., Nestorova, G. G., Walker, M. H., & Louis, S. J. (2025) · Molecular Biology Reports · doi:10.1007/s11033-025-11384-4 · Cited by 1
Liu, M., Ruan, J., Yang, Y., Li, M., Gu, Z., Ge, C., & Cao, W. (2026) · Frontiers in Veterinary Science · doi:10.3389/fvets.2025.1732976 · Cited by 1
Bahrami, M., Abbaszadeh, H., Berjis, K., & Moradi, A. (2026) · BioMed Research International · doi:10.1155/bmri/4137354 · Cited by 1
Kawa, I. A., Fatima, Q., Masood, A., Mir, S. A., Mir, I., Manzoor, S., & Rashid, F. (2026) · Gene Reports · doi:10.1016/j.genrep.2026.102448 · Cited by 1
MicroRNAs in metabolic effects with atypical antipsychotics—a scoping review
Wu, W. T., Setiawan, D., Glatt, S. J., Chi, J., & Lin, P. (2026) · Therapeutic Advances in Psychopharmacology · doi:10.1177/20451253261430603 · Cited by 1
Rudhra, O., & Singh, S. K. (2026) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2026.111822 · Cited by 1
Zanotto, T. M., & SAAD, M. J. A. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27146501 · Cited by 1
MicroRNAs in diabetes - are they perpetrators in disguise or just epiphenomena?
Puthanveetil, P., Thomas, A. A., & Chakrabarti, S. (2014) · Non-coding RNAs in Endocrinology · doi:10.2478/micrnado-2014-0002 · Cited by 1
Post-transcriptional Regulation of Prostaglandin Biosynthesis
Blanco, F. F., Legrand, N., Sobolewski, C., & Dixon, D. A. (2015) · Springer eBooks · doi:10.1007/978-3-319-25124-0_9 · Cited by 1
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Marchand, L. (2014) · Médecine des Maladies Métaboliques · doi:10.1016/s1957-2557(14)70808-9 · Cited by 1
MicroRNAs 103 and 107: potential molecular links between diabetes and cancer
Xu, Q., Min-xiu, Y. A. O., & Chen, L. (2013) · Chinese Medical Journal · doi:10.3760/cma.j.issn.0366-6999.20123142 · Cited by 1
Expression of microRNAs differed in the omental adipose tissue of obese rats.
Zhi, C., Huang, Y., Qi, W., Shen, J., Tan, J., Hu, H., & Zhang, D. (2015) · PubMed Central · Cited by 1
Gene- and Cell-Based Therapy for Cardiovascular Disease
Marín-García, J. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-404599-6.00023-8 · Cited by 1
Early-Life Nutrition, Epigenetics, and Altered Energy Balance Later in Life
Reynolds, C. M., O'Sullivan, J. M., Segovia, S. A., & Vickers, M. H. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-811060-7.00010-3 · Cited by 2
An Overview on the Pathophysiological Roles of microRNA- 802: a Literature Review
(2022) · Biointerface Research in Applied Chemistry · doi:10.33263/briac132.172 · Cited by 1
Modulation of the epigenome by xenobiotics in cancer
Srivastava, A. K., Kumar, D., Singh, D. R., & Singh, R. K. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-90560-2.00008-x · Cited by 1
Biswal, S. R., Singh, M., Dwibedy, S. L. L., Kumari, S., Muthuswamy, S., Kumar, A., & Kumar, S. (2023) · Functional & Integrative Genomics · doi:10.1007/s10142-023-01105-0 · Cited by 1
The potential of epigenetic compounds in treating diabetes
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Effects of maternal nutrient restriction during gestation on bovine serum microRNA abundance
McCarty, K. J., DeCarlo, A. N., Ricks, R. E., Pratt, S. L., & Long, N. (2024) · Animal Reproduction Science · doi:10.1016/j.anireprosci.2024.107435 · Cited by 1
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Nair, S. P., Darshan, R., Thekkekkara, D., & Manjula, S. N. (2024) · Advances in biochemistry in health and disease · doi:10.1007/978-3-031-75686-3_20 · Cited by 1
MicroRNAs in Adipose Tissue Metabolism and Inflammation
Kim, H., Choi, C., Lee, J., & Lee, Y. (2025) · Drug Targets and Therapeutics · doi:10.58502/dtt.24.0018 · Cited by 1
Leti, F., Taila, M., & DiStefano, J. K. (2014) · Springer eBooks · doi:10.1007/978-3-319-13689-9_11 · Cited by 1
Modern Transcriptomics and Small RNA Diversity
Vickers, K. C. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-799961-6.00002-0 · Cited by 1
Oliver‐Bonet, M. (2016) · Nutrición Hospitalaria · doi:10.20960/nh.591 · Cited by 1
Chavarría-Ávila, E., Navarro-Hernández, R. E., Guzmán-Ornelas, M.-O., Corona-Meraz, F.-I., Ruíz-Quezada, S. L., & Mercado, M. V.-D. (2017) · InTech eBooks · doi:10.5772/65444 · Cited by 1
Metadata
- 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 › Endocrinology, Diabetes and Metabolism › 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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