The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The cited source says what the claim attributes to it.
In the citing paper
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Flagged first, then by citations
Cited by
Sorted by citations
Items 501–600 of 996
MicroRNA-221-3p Regulates Angiopoietin-Like 8 (ANGPTL8) Expression in Adipocytes
Mysore, R., Ortega, F. J., Latorre, J., Ahonen, M. A., Savolainen-Peltonen, H. M., Fischer‐Posovszky, P., Wabitsch, M., Olkkonen, V. M., Fernández‐Real, J. M., & Haridas, P. A. N. (2017) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2017-00453 · Cited by 29
Circulating miRNA Signatures Associated with Insulin Resistance in Adolescents with Obesity
Lin, H., Tas, E., Børsheim, E., & Mercer, K. E. (2020) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s273908 · Cited by 29
Effects of hypoxic exercise training on microRNA expression and lipid metabolism in obese rat livers
Lu, Y., Jing, W., Feng, L., Zhang, L., Xu, J., You, T., & Zhao, J. (2014) · Journal of Zhejiang University SCIENCE B · doi:10.1631/jzus.b1400052 · Cited by 29
Liang, T., Liu, C., & Ye, Z. (2013) · PLoS ONE · doi:10.1371/journal.pone.0080774 · Cited by 28
Targeting caveolin-3 for the treatment of diabetic cardiomyopathy
Murfitt, L., Whiteley, G., Iqbal, M. M., & Kitmitto, A. (2015) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2015.03.002 · Cited by 29
Insights into the post-transcriptional regulation of the mitochondrial electron transport chain
Sirey, T., & Ponting, C. P. (2016) · Biochemical Society Transactions · doi:10.1042/bst20160100 · Cited by 28
Dietary lipids modulate the expression of miR‐107, a miRNA that regulates the circadian system
Daimiel, L., Klett‐Mingo, M., Konstantinidou, V., Micó, V., Aranda, J. F., García, B., Martı́nez-Botas, J., Dávalos, A., Fernandez-Hernando, C. F., & Ordovás, J. M. (2015) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201570094 · Cited by 30
Discrete interplay of gut microbiota L-tryptophan metabolites in host biology and disease
Ranhotra, H. S. (2023) · Molecular and Cellular Biochemistry · doi:10.1007/s11010-023-04867-0 · Cited by 28
Clinical significance and expression of microRNA in diabetic patients with erectile dysfunction
JIANG, X., LUO, Y., Zhao, S., Chen, Q., Jiang, C., Dai, Y., CHEN, Y., & Cao, Z. (2015) · Experimental and Therapeutic Medicine · doi:10.3892/etm.2015.2443 · Cited by 28
Intersections of post-transcriptional gene regulatory mechanisms with intermediary metabolism
Arif, W., Datar, G. K., & Kalsotra, A. (2017) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2017.01.004 · Cited by 28
Woeller, C. F., Flores, E. M., Pollock, S. J., & Phipps, R. P. (2017) · Toxicological Sciences · doi:10.1093/toxsci/kfx046 · Cited by 28
Hypoglycemic mechanism of a novel proteoglycan, extracted from Ganoderma lucidum , in hepatocytes
Yang, Z., Chen, C., Zhao, J., Xu, W., He, Y., Yang, H., & Zhou, P. (2017) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2017.12.020 · Cited by 30
Sala, L. L., Crestani, M., Garavelli, S., de Candia, P., & Pontiroli, A. E. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms22010143 · Cited by 29
Li, W., Wu, L., Sun, Q., Yang, Q., Xue, J., Shi, M., Tang, H., Zhang, J., & Liu, Q. (2021) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2021.112130 · Cited by 28
Lee, H., & Lee, J. (2021) · Journal of Food Biochemistry · doi:10.1111/jfbc.13993 · Cited by 28
Mishra, S., Kumar, A., Kim, S., Su, Y., Singh, S., Sharma, M., Almousa, S., Rather, H., Jain, H., Lee, J., et al. (2023) · ACS Nano · doi:10.1021/acsnano.3c00422 · Cited by 29
Natalicchio, A., Montagnani, M., Gallo, M., Marrano, N., Faggiano, A., Zatelli, M. C., Mazzilli, R., Argentiero, A., Danesi, R., D’Oronzo, S., et al. (2023) · ESMO Open · doi:10.1016/j.esmoop.2023.101573 · Cited by 30
Kim, D. S., Lee, S. Y., Lee, J. H., Bae, Y. C., & Jung, J. S. (2015) · Experimental & Molecular Medicine · doi:10.1038/emm.2015.39 · Cited by 28
Hennessy, E., & Moore, K. (2013) · Journal of Cardiovascular Pharmacology · doi:10.1097/fjc.0b013e31829d48bf · Cited by 32
MicroRNAs: a new piece in the paediatric cardiovascular disease puzzle
Omran, A. G., Elimam, D., Webster, K. A., Shehadeh, L. A., & Yin, F. (2013) · Cardiology in the Young · doi:10.1017/s1047951113000048 · Cited by 28
MicroRNAs in heart failure: Non-coding regulators of metabolic function
Zhang, X., & Schulze, P. C. (2016) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2016.08.009 · Cited by 28
Henriksen, T. I., Davidsen, P. K., Pedersen, M., Schultz, H. S., Hansen, N. S., Larsen, T. J., Vaag, A. A., Pedersen, B. K., Nielsen, S. J., & Schéele, C. (2017) · Molecular Metabolism · doi:10.1016/j.molmet.2017.04.006 · Cited by 29
Veeraveedu, P. T., Ramamurthy, S., Wong, Z. W., Koo, B. J., Wong, J.-Y., Abdullah, M. F., Chin, Y. H., Chia, C. H., Tan, J. Y., Neo, W. T., et al. (2017) · Drug Discovery Today · doi:10.1016/j.drudis.2017.10.020 · Cited by 28
MicroRNA Transcriptomes Relate Intermuscular Adipose Tissue to Metabolic Risk
Ma, J., Yu, S., Wang, F., Bai, L., Xiao, J. Y., Jiang, Y., Chen, L., Wang, J., Jiang, A., Li, M., et al. (2013) · International Journal of Molecular Sciences · doi:10.3390/ijms14048611 · Cited by 27
Li, G., Chen, T., Zhu, Y., Xiao, X., Bu, J., & Huang, Z. (2018) · PubMed Central · doi:10.22038/ijbms.2018.25980.6392 · Cited by 27
Ma, M., Yin, Z., Zhong, H., Liang, T., & Guo, L. (2018) · Genomics · doi:10.1016/j.ygeno.2018.08.004 · Cited by 26
Circular RNAs in Metabolic Diseases
Wang, T., Pan, W. Q., Hu, J. X., Zhang, Z., Li, G., & Liang, Y. (2018) · Advances in experimental medicine and biology · doi:10.1007/978-981-13-1426-1_22 · Cited by 27
Roles of microRNAs in carbohydrate and lipid metabolism disorders and their therapeutic potential
Paul, S., Bravo-Vázquez, L. A., Uribe, S. P., Cárdenas, L. A. M., Aguilar, M. F. R., Chakraborty, S., & Sharma, A. K. (2021) · Biochimie · doi:10.1016/j.biochi.2021.05.015 · Cited by 27
Transcriptome reveals key microRNAs involved in fat deposition between different tail sheep breeds
Fei, X., Jin, M., Wang, Y., Li, T., Lu, Z., Yuan, Z., Wang, H., Lü, J., Quan, K., Di, R., et al. (2022) · PLoS ONE · doi:10.1371/journal.pone.0264804 · Cited by 27
Kuang, L., Sewe, M., & Wang, Y. (2015) · Obesity Surgery · doi:10.1007/s11695-015-1711-x · Cited by 27
Selective MicroRNA-Offset RNA Expression in Human Embryonic Stem Cells
Asikainen, S., Heikkinen, L., Juhila, J., Holm, F., Weltner, J., Trokovic, R., Mikkola, M., Toivonen, S., Balboa, D., Lampela, R., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0116668 · Cited by 26
Identification of circulating microRNAs in HNF1A-MODY carriers
Bonner, C., Nyhan, K. C., Bacon, S., Kyithar, M. P., Schmid, J., Concannon, C. G., Bray, I. M., Stallings, R. L., Prehn, J. H. M., & Byrne, M. M. (2013) · Diabetologia · doi:10.1007/s00125-013-2939-4 · Cited by 28
RNAs and RNA-Binding Proteins in Immuno-Metabolic Homeostasis and Diseases
Salem, E., Vonberg, A. D., Borra, V. J., Gill, R. K., & Nakamura, T. (2019) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2019.00106 · Cited by 27
Liu, R., Wang, M., Li, E., Yang, Y., Li, J., Chen, S., Shen, W., Azhar, S., Guo, Z., & Hu, Z. (2020) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2020.158640 · Cited by 27
Moisá, S. J., Shike, D. W. W., Shoup, L. M., & Loor, J. J. (2015) · Lipids · doi:10.1007/s11745-015-4092-y · Cited by 30
MicroRNA Expression Relating to Dietary-Induced Liver Steatosis and NASH
Zarfeshani, A., Ngo, S., & Sheppard, A. M. (2015) · Journal of Clinical Medicine · doi:10.3390/jcm4111938 · Cited by 26
Analysis of miRNAs and their target genes associated with lipid metabolism in duck liver
He, J., Wang, W., Lu, L., Tian, Y., Niu, D., Ren, J., Dong, L., Sun, S., Zhao, Y., Chen, L., et al. (2016) · Scientific Reports · doi:10.1038/srep27418 · Cited by 27
Hepatic ELOVL6 mRNA is regulated by the gga-miR-22-3p in egg-laying hen
Ma, Z., Li, H., Zheng, H., Jiang, K., Yan, F., Tian, Y., Kang, X., Wang, Y., & Liu, X. (2017) · Gene · doi:10.1016/j.gene.2017.04.040 · Cited by 26
Wang, H., Chen, Y., Mao, X., & Du, . (2019) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2019.07.012 · Cited by 26
Youssef, E. M., Elfiky, A. M., BanglySoliman, Abu-Shahba, N., & ElHefnawi, M. (2020) · Genes & Nutrition · doi:10.1186/s12263-020-00666-0 · Cited by 26
Chleilat, F., Schick, A., Deleemans, J. M., & Reimer, R. A. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22020689 · Cited by 28
Sex Hormone Binding Globulin (SHBG) Mitigates ER Stress in Hepatocytes In Vitro and Ex Vivo
Kornicka‐Garbowska, K., Bourebaba, L., Röcken, M., & Marycz, K. (2021) · Cells · doi:10.3390/cells10040755 · Cited by 26
Sommerauer, C., & Kutter, C. (2022) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00232.2022 · Cited by 27
Circulating miRNAs in Women with Polycystic Ovary Syndrome: A Longitudinal Cohort Study
Udesen, P. B., Sørensen, A. E., Svendsen, R. P., Frisk, N. L. S., Hess, A. L., Aziz, M., Wissing, M. L., Englund, A. L. M., & Dalgaard, L. T. (2023) · Cells · doi:10.3390/cells12070983 · Cited by 26
Interactions between differential fatty acids and inflammatory stressors—impact on metabolic health
Murphy, A. M., Lyons, C. L., Finucane, O. M., & Roche, H. M. (2014) · Prostaglandins Leukotrienes and Essential Fatty Acids · doi:10.1016/j.plefa.2014.05.003 · Cited by 26
Berry, C., Lal, M., & Binukumar, B. K. (2018) · Frontiers in Endocrinology · doi:10.3389/fendo.2018.00210 · Cited by 27
Menin Is Required for Optimal Processing of the MicroRNA let-7a
Gurung, B., Muhammad, A. B., & Hua, X. (2014) · Journal of Biological Chemistry · doi:10.1074/jbc.m113.520692 · Cited by 26
MicroRNAs in Cardiovascular Health: From Order to Disorder
Karunakaran, D., & Rayner, K. J. (2013) · Endocrinology · doi:10.1210/en.2013-1299 · Cited by 26
Epigenetic mechanisms in hepatitis B virus-associated hepatocellular carcinoma
Andrisani, O. (2021) · Hepatoma Research · doi:10.20517/2394-5079.2020.83 · Cited by 26
Emergent Roles of Circular RNAs in Metabolism and Metabolic Disorders
Wu, Y.-L., Li, H.-F., Chen, H.-H., & Lin, H. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23031032 · Cited by 25
MicroRNA Expression Profiling Altered by Variant Dosage of Radiation Exposure
Lee, K.-F., Chen, Y.-C., Hsu, P. W.-C., Liu, I. Y., & Wu, L. S.-H. (2014) · BioMed Research International · doi:10.1155/2014/456323 · Cited by 25
Long non-coding RNAs in coronary atherosclerosis
Wang, Y., Song, X., Li, Z., & Liu, B. (2018) · Life Sciences · doi:10.1016/j.lfs.2018.08.072 · Cited by 25
Review: Bio-compartmentalization of microRNAs in exosomes during gestational diabetes mellitus
Iljas, J. D., Guanzon, D., Elfeky, O. W. M., Rice, G. E., & Salomón, C. (2016) · Placenta · doi:10.1016/j.placenta.2016.12.002 · Cited by 25
The role of microRNAs in liver injury at the crossroad between hepatic cell death and regeneration
Lauschke, V. M., Mkrtchian, S., & Ingelman-Sundberg, M. (2017) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2016.10.084 · Cited by 29
Patra, D., Ramprasad, P., Sharma, S., Dey, U., Kumar, V., Singh, S., Dasgupta, S., Kumar, A. A., Tikoo, K., & Pal, D. (2024) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2024.107328 · Cited by 27
BECKER-GREENE, D. R., Li, H., Pérez‐Cremades, D., Wu, W. W., Bestepe, F., Ozdemir, D., Niosi, C. E., Aydogan, C. O., Orgill, D. P., Feinberg, M. W., et al. (2021) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-021-03960-1 · Cited by 24
Cornejo, P.-J., Vergoni, B., Ohanna, M., Angot, B., Gonzalez, T., Jager, J., Tanti, J., & Cormont, M. (2022) · Cells · doi:10.3390/cells11162581 · Cited by 26
The Role of MicroRNA-126 in Atherosclerotic Cardiovascular Diseases
Theofilis, P., Oikonomou, E. K., Vogiatzi, G., Sagris, Μ., Antonopoulos, A. S., Siasos, G., Iliopoulos, D., Perrea, D. N., Vavouranakis, M., Tsioufis, K. P., et al. (2022) · Current Medicinal Chemistry · doi:10.2174/0929867329666220830100530 · Cited by 25
The role of microRNAs in the molecular link between circadian rhythm and autism spectrum disorder
Kim, J. Y., Kim, W., & Lee, K. (2023) · Animal Cells and Systems · doi:10.1080/19768354.2023.2180535 · Cited by 27
Role of MicroRNAs in the Warburg Effect and Mitochondrial Metabolism in Cancer
Jin, L., & Chen, W. (2014) · Asian Pacific Journal of Cancer Prevention · doi:10.7314/apjcp.2014.15.17.7015 · Cited by 24
MicroRNA-16 modulates macrophage polarization leading to improved insulin sensitivity in myoblasts
Talari, M., Kapadia, B. B., Kain, V., Seshadri, S., Prajapati, B., Rajput, P., Misra, P., & Parsa, K. V. L. (2015) · Biochimie · doi:10.1016/j.biochi.2015.10.004 · Cited by 24
MicroRNA-34a and Impaired FGF19/21 Signaling in Obesity
Fu, T., & Kemper, J. K. (2016) · Vitamins and hormones · doi:10.1016/bs.vh.2016.02.002 · Cited by 24
Crosstalk between microRNAs, the putative target genes and the lncRNA network in metabolic diseases
Assmann, T. S., Milagro, F. I., & Mart�nez, J. (2019) · Molecular Medicine Reports · doi:10.3892/mmr.2019.10595 · Cited by 24
Bork‐Jensen, J., Thuesen, A. C. B., Bang-Bertelsen, C., Grunnet, L. G., Pociot, F., Beck‐Nielsen, H., Ozanne, S. E., Poulsen, P., & Vaag, A. A. (2014) · Genes · doi:10.3390/genes5030508 · Cited by 23
Adipocyte miR-200b/a/429 ablation in mice leads to high-fat-diet-induced obesity
Tao, C., Ren, H., Xu, P., Cheng, J. R., Huang, S., Zhou, R., Mu, Y., Yang, S., Qi, D., Wang, Y., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.12080 · Cited by 22
Novel Roles of Non-Coding RNAs in Opioid Signaling and Cardioprotection
Melo, Z., Ishida, C., Goldaraz-Monraz, M. D. L. P., Rojo, R., & Echavarría, R. (2018) · Non-Coding RNA · doi:10.3390/ncrna4030022 · Cited by 24
MiR-103a promotes tumour growth and influences glucose metabolism in hepatocellular carcinoma
Liu, Y., Zhang, Y., Xiao, B., Tang, N., Hu, J., Liang, S., Pang, Y., Xu, H., Ao, J., Yang, J., et al. (2021) · Cell Death and Disease · doi:10.1038/s41419-021-03905-3 · Cited by 23
Caveolin-1 genetic polymorphism interacts with PUFA to modulate metabolic syndrome risk
Abaj, F., & Mirzaei, K. (2021) · British Journal Of Nutrition · doi:10.1017/s0007114521002221 · Cited by 23
Connecting the dots in the associations between diet, obesity, cancer, and microRNAs
Otsuka, K., Nishiyama, H., Kuriki, D., Kawada, N., & Ochiya, T. (2023) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2023.05.001 · Cited by 26
Kirby, T. J., Walton, R. G., Finlin, B. S., Zhu, B., Ünal, R., Rasouli, N., Peterson, C. A., & Kern, P. A. (2016) · Physiological Genomics · doi:10.1152/physiolgenomics.00071.2015 · Cited by 23
miR-22-3p is involved in gluconeogenic pathway modulated by 3,5-diiodo-L-thyronine (T2)
Senese, R., Cioffi, F., Petito, G., de Lange, P., Russo, A., Goglia, F., Lanni, A., & Potenza, N. (2019) · Scientific Reports · doi:10.1038/s41598-019-53019-2 · Cited by 23
Avgeris, M., Kokkinopoulou, I., Maratou, E., Mitrou, P., Boutati, E. I., Scorilas, A., Fragoulis, E. G., & Christodoulou, M. (2020) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2020.108187 · Cited by 24
Caveolin-1 in autophagy: A potential therapeutic target in atherosclerosis
Hou, K., Li, S., Zhang, M., & Qin, X. (2020) · Clinica Chimica Acta · doi:10.1016/j.cca.2020.11.020 · Cited by 23
β-Cell Mitochondrial Dysfunction: Underlying Mechanisms and Potential Therapeutic Strategies
Darwish, R., Alcibahy, Y., Abu-Sharia, G., & Butler, A. E. (2025) · Cells · doi:10.3390/cells14231861 · Cited by 25
Epigenetics: An emerging field in the pathogenesis of nonalcoholic fatty liver disease
Ashraf, N. U., & Altaf, M. (2018) · Mutation Research/Reviews in Mutation Research · doi:10.1016/j.mrrev.2018.07.002 · Cited by 22
circNrxn2 Promoted WAT Browning via Sponging miR-103 to Relieve Its Inhibition of FGF10 in HFD Mice
Zhang, T., Zhang, Z., Xia, T., Liu, C., & Sun, C. (2019) · Molecular Therapy — Nucleic Acids · doi:10.1016/j.omtn.2019.06.019 · Cited by 22
Functional and Clinical Significance of Dysregulated microRNAs in Liver Cancer
Huang, P.-S., Liao, C., Huang, Y., Yeh, C., Chen, C., Tang, H.-C., Chang, C., & Lin, K. (2021) · Cancers · doi:10.3390/cancers13215361 · Cited by 23
Yu, Z., Luo, R., Li, Y., Li, X., Yang, Z., Peng, J., & Huang, K. (2022) · Journal of Cell Science · doi:10.1242/jcs.259333 · Cited by 22
Emerging Roles of Non-Coding RNAs in the Feed Efficiency of Livestock Species
Hu, G., Do, D. N., Davoudi, P., & Miar, Y. (2022) · Genes · doi:10.3390/genes13020297 · Cited by 24
Nucleic acid biomarkers to assess graft injury after liver transplantation
Bardhi, E., McDaniels, J. M., Rousselle, T. V., Maluf, D. G., & Mas, V. R. (2022) · JHEP Reports · doi:10.1016/j.jhepr.2022.100439 · Cited by 23
Cardiac Metabolism and MiRNA Interference
Sumaiya, K., Ponnusamy, T., Natarajaseenivasan, K., & Shanmughapriya, S. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms24010050 · Cited by 23
Szydełko, J., & Matyjaszek-Matuszek, B. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms24010616 · Cited by 19
Discovery of Novel and Differentially Expressed MicroRNAs between Fetal and Adult Backfat in Cattle
Sun, J., Zhou, Y., Cai, H., Lan, X., Lei, C., Zhao, X., Zhang, C., & Chen, H. (2014) · PLoS ONE · doi:10.1371/journal.pone.0090244 · Cited by 22
Zhang, Z., Guo, R., Jin-lin, L., Wang, X.-M., Ye, J., Lu, N., Liang, X., & Yang, L. (2017) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2017.03.056 · Cited by 22
(2016) · PubMed
Beck, R., Chandi, M., Kanke, M., Stýblo, M., & Sethupathy, P. (2019) · Archives of Toxicology · doi:10.1007/s00204-019-02574-8 · Cited by 22
Zhou, M., Hou, Y., Wu, J., Li, G., Cao, P., Chen, W., Hu, L., & Gan, D. (2021) · Molecular Medicine Reports · doi:10.3892/mmr.2021.11968 · Cited by 22
Recent Developments in Delivery of MicroRNAs Utilizing Nanosystems for Metabolic Syndrome Therapy
Li, T., Zhu, L., Zhu, L., Wang, P., Xu, W., & Huang, J. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22157855 · Cited by 23
Herrera-Uribe, J., Vitger, A. D., Ritz, C., Fredholm, M., Bjørnvad, C. R., & Cirera, S. (2015) · The Veterinary Journal · doi:10.1016/j.tvjl.2015.11.002 · Cited by 22
Impact of endurance exercise training on adipocyte microRNA expression in overweight men
Tsiloulis, T., Pike, J., Powell, D., Rossello, F. J., Canny, B. J., Meex, R. C. R., & Watt, M. J. (2016) · The FASEB Journal · doi:10.1096/fj.201600678r · Cited by 22
Darwish, R., Alcibahy, Y., Bucheeri, S., Albishtawi, A., Tama, M., Shetty, J. K., & Butler, A. E. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252313169 · Cited by 25
CYP2C8 Is a Novel Target of Peroxisome Proliferator-Activated Receptor α in Human Liver
Makia, N. L., & Goldstein, J. A. (2015) · Molecular Pharmacology · doi:10.1124/mol.115.100255 · Cited by 21
A General Overview on Non-coding RNA-Based Diagnostic and Therapeutic Approaches for Liver Diseases
Roy, S., Trautwein, C., Luedde, T., & Roderburg, C. (2018) · Frontiers in Pharmacology · doi:10.3389/fphar.2018.00805 · Cited by 21
Lodge, R., Bellini, N., Laporte, M., Salahuddin, S., Routy, J., Ancuța, P., Costiniuk, C. T., Jenabian, M.-A., & Cohen, É. A. (2020) · mBio · doi:10.1128/mbio.02314-20 · Cited by 21
Lowry, D. E., Paul, H. A., & Reimer, R. A. (2021) · British Journal Of Nutrition · doi:10.1017/s0007114521001197 · Cited by 21
Alexandru, N., Procopciuc, A., Vîlcu, A., Comariţa, I. K., Bădilă, E., & Georgescu, A. (2021) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-021-09664-y · Cited by 21
Role of non-coding RNAs on liver metabolism and NAFLD pathogenesis
Qian, G., & Morral, N. (2022) · Human Molecular Genetics · doi:10.1093/hmg/ddac088 · Cited by 21
Moringa oleifera Improves MAFLD by Inducing Epigenetic Modifications
Monraz-Méndez, C. A., Escutia-Gutiérrez, R., Rodríguez-Sanabria, J. S., Galicia‐Moreno, M., Monroy-Ramírez, H. C., Sánchez-Orozco, L. V., Garcia-Bañuelos, J. J., la Rosa-Bibiano, R. D., Santos, A., Armendáriz‐Borunda, J., et al. (2022) · Nutrients · doi:10.3390/nu14204225 · Cited by 21
Current understanding of structural and molecular changes in diabetic cardiomyopathy
Akhtar, M. S., Alavudeen, S. S., Raza, A., Imam, M. T., Almalki, Z. S., Tabassum, F., & Iqbal, M. J. (2023) · Life Sciences · doi:10.1016/j.lfs.2023.122087 · Cited by 23
Advances in Research Related to MicroRNA for Diabetic Retinopathy
Luo, Y., & Li, C. (2024) · Journal of Diabetes Research · doi:10.1155/2024/8520489 · Cited by 22
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
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