Free Access
Issue
Med Sci (Paris)
Volume 29, Number 8-9, Août–Septembre 2013
Page(s) 785 - 790
Section Diabète : approches thérapeutiques émergentes
DOI https://doi.org/10.1051/medsci/2013298019
Published online 05 September 2013
  1. Bartel DP. MicroRNAs : genomics, biogenesis, mechanism, and function. Cell 2004 ; 116 : 281–297. [CrossRef] [PubMed] [Google Scholar]
  2. Poy MN, Eliasson L, Krutzfeldt J, et al. A pancreatic islet-specific microRNA regulates insulin secretion. Nature 2004 ; 432 : 226–230. [CrossRef] [PubMed] [Google Scholar]
  3. Poy MN, Hausser J, Trajkovski M, et al. miR-375 maintains normal pancreatic alpha- and beta-cell mass. Proc Natl Acad Sci USA 2009 ; 106 : 5813–5818. [CrossRef] [Google Scholar]
  4. El Ouaamari A, Baroukh N, Martens GA, et al. miR-375 targets 3’-phosphoinositide-dependent protein kinase-1 and regulates glucose-induced biological responses in pancreatic beta-cells. Diabetes 2008 ; 57 : 2708–2717. [CrossRef] [PubMed] [Google Scholar]
  5. Krek A, Grun D, Poy MN, et al. Combinatorial microRNA target predictions. Nat Genet 2005 ; 37 : 495–500. [CrossRef] [PubMed] [Google Scholar]
  6. Lovis P, Gattesco S, Regazzi R. Regulation of the expression of components of the exocytotic machinery of insulin-secreting cells by microRNAs. Biol Chem 2008 ; 389 : 305–312. [CrossRef] [PubMed] [Google Scholar]
  7. Baroukh N, Ravier MA, Loder MK, et al. MicroRNA-124a regulates Foxa2 expression and intracellular signaling in pancreatic beta-cell lines. J Biol Chem 2007 ; 282 : 19575–19588. [CrossRef] [PubMed] [Google Scholar]
  8. Plaisance V, Abderrahmani A, Perret-Menoud V, et al. MicroRNA-9 controls the expression of Granuphilin/Slp4 and the secretory response of insulin-producing cells. J Biol Chem 2006 ; 281 : 26932–26942. [CrossRef] [PubMed] [Google Scholar]
  9. Roggli E, Gattesco S, Caille D, et al. Changes in microRNA expression contribute to pancreatic beta-cell dysfunction in prediabetic NOD mice. Diabetes 2012 ; 61 : 1742–1751. [CrossRef] [PubMed] [Google Scholar]
  10. Zhu H, Shyh-Chang N, Segre AV, et al. The Lin28/let-7 axis regulates glucose metabolism. Cell 2011 ; 147 : 81–94. [CrossRef] [PubMed] [Google Scholar]
  11. Frost RJ, Olson EN. Control of glucose homeostasis and insulin sensitivity by the Let-7 family of microRNAs. Proc Natl Acad Sci USA 2011 ; 108 : 21075–21080. [CrossRef] [Google Scholar]
  12. Trajkovski M, Hausser J, Soutschek J, et al. MicroRNAs 103 and 107 regulate insulin sensitivity. Nature 2011 ; 474 : 649–653. [CrossRef] [PubMed] [Google Scholar]
  13. Ryu HS, Park SY, Ma D, et al. The induction of microRNA targeting IRS-1 is involved in the development of insulin resistance under conditions of mitochondrial dysfunction in hepatocytes. PLoS One 2011 ; 6 : e17343. [CrossRef] [PubMed] [Google Scholar]
  14. Davalos A, Goedeke L, Smibert P, et al. miR-33a/b contribute to the regulation of fatty acid metabolism and insulin signaling. Proc Natl Acad Sci USA 2011 ; 108 : 9232–9237. [CrossRef] [Google Scholar]
  15. Pandey AK, Verma G, Vig S, et al. miR-29a levels are elevated in the db/db mice liver and its overexpression leads to attenuation of insulin action on PEPCK gene expression in HepG2 cells. Mol Cell Endocrinol 332 : 125–133. [Google Scholar]
  16. Liang J, Liu C, Qiao A, et al. MicroRNA-29a-c decrease fasting blood glucose levels by negatively regulating hepatic gluconeogenesis. J Hepatol 2013 ; 58 : 535–542. [CrossRef] [PubMed] [Google Scholar]
  17. Hasseine LK, Hinault C, Lebrun P, et al. miR-139 impacts FoxO1 action by decreasing FoxO1 protein in mouse hepatocytes. Biochem Biophys Res Commun 2009 ; 390 : 1278–1282. [CrossRef] [PubMed] [Google Scholar]
  18. Granjon A, Gustin MP, Rieusset J, et al. The microRNA signature in response to insulin reveals its implication in the transcriptional action of insulin in human skeletal muscle and the role of a sterol regulatory element-binding protein-1c/myocyte enhancer factor 2C pathway. Diabetes 2009 ; 58 : 2555–2564. [CrossRef] [PubMed] [Google Scholar]
  19. Roggli E, Britan A, Gattesco S, et al. Involvement of microRNAs in the cytotoxic effects exerted by proinflammatory cytokines on pancreatic beta-cells. Diabetes 2010 ; 59 : 978–986. [CrossRef] [PubMed] [Google Scholar]
  20. Ruan Q, Wang T, Kameswaran V, et al. The microRNA-21-PDCD4 axis prevents type 1 diabetes by blocking pancreatic beta cell death. Proc Natl Acad Sci USA 2011 ; 108 : 12030–12051. [CrossRef] [Google Scholar]
  21. Lovis P, Roggli E, Laybutt DR, et al. Alterations in microRNA expression contribute to fatty acid-induced pancreatic beta-cell dysfunction. Diabetes 2008 ; 57 : 2728–2736. [CrossRef] [PubMed] [Google Scholar]
  22. Li S, Chen X, Zhang H, et al. Differential expression of microRNAs in mouse liver under aberrant energy metabolic status. J Lipid Res 2009 ; 50 : 1756–1765. [CrossRef] [PubMed] [Google Scholar]
  23. He A, Zhu L, Gupta N, et al. Overexpression of micro ribonucleic acid 29, highly up-regulated in diabetic rats, leads to insulin resistance in 3T3-L1 adipocytes. Mol Endocrinol 2007 ; 21 : 2785–2794. [CrossRef] [PubMed] [Google Scholar]
  24. Herrera BM, Lockstone HE, Taylor JM, et al. MicroRNA-125a is over-expressed in insulin target tissues in a spontaneous rat model of type 2 diabetes. BMC Med Genomics 2009 ; 2 : 54. [CrossRef] [PubMed] [Google Scholar]
  25. Gallagher IJ, Scheele C, Keller P, et al. Integration of microRNA changes in vivo identifies novel molecular features of muscle insulin resistance in type 2 diabetes. Genome Med 2010 ; 2 : 9. [CrossRef] [PubMed] [Google Scholar]
  26. Kloting N, Berthold S, Kovacs P, et al. MicroRNA expression in human omental and subcutaneous adipose tissue. PLoS One 2009 ; 3 : e4699. [CrossRef] [Google Scholar]
  27. Bolmeson C, Esguerra JL, Salehi A, et al. Differences in islet-enriched miRNAs in healthy and glucose intolerant human subjects. Biochem Biophys Res Commun 2011 ; 404 : 16–22. [CrossRef] [PubMed] [Google Scholar]
  28. Zhao H, Guan J, Lee HM, et al. Up-regulated pancreatic tissue microRNA-375 associates with human type 2 diabetes through beta-cell deficit and islet amyloid deposition. Pancreas 2010 ; 39 : 843–846. [CrossRef] [PubMed] [Google Scholar]
  29. Becker N, Lockwood CM. Pre-analytical variables in miRNA analysis. Clin Biochem 2013 ; doi : 10.1016/j.clinbiochem.2013.02.015. [Google Scholar]
  30. Jacovetti C, Abderrahmani A, Parnaud G, et al. MicroRNAs contribute to compensatory beta cell expansion during pregnancy and obesity. J Clin Invest 2012 ; 122 : 3541–3551. [CrossRef] [PubMed] [Google Scholar]
  31. Zampetaki A, Willeit P, Drozdov I, et al. Profiling of circulating microRNAs : from single biomarkers to re-wired networks. Cardiovasc Res 2012 ; 93 : 555–562. [CrossRef] [PubMed] [Google Scholar]
  32. Zampetaki A, Kiechl S, Drozdov I, et al. Plasma microRNA profiling reveals loss of endothelial miR-126 and other microRNAs in type 2 diabetes. Circ Res 2010 ; 107 : 810–817. [CrossRef] [PubMed] [Google Scholar]
  33. Kong L, Zhu J, Han W, et al. Significance of serum microRNAs in pre-diabetes and newly diagnosed type 2 diabetes : a clinical study. Acta Diabetol 2011 ; 48 : 61–69. [CrossRef] [PubMed] [Google Scholar]
  34. Erener S, Mojibian M, Fox JK, et al. Circulating miR-375 as a biomarker of beta-cell death and diabetes in mice. Endocrinology 2013 ; 154 : 603–608. [CrossRef] [PubMed] [Google Scholar]
  35. Ladeiro Y, Zucman-Rossi J. Micro-ARN (miARN) et cancer : le cas des tumeurs hépatocellulaires. Med Sci (Paris) 2009 ; 25 : 467–472. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  36. Gauthier BR, Wollheim CB. MicroARN : ribo-régulateurs de l’homéostasie du glucose. Med Sci (Paris) 2006 ; 22 : 463–465. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  37. Duez H, Sebti Y, Staels B. Horloges circadiennes et métabolisme : intégration des signaux métaboliques et environnementaux. Med Sci (Paris) 2013 ; 29 : 772–777. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.