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Common variant in MTNR1B associated with increased risk of type 2 diabetes and impaired early insulin secretion
Open accessAbstract
Genome-wide association studies have shown that variation in MTNR1B (melatonin receptor 1B) is associated with insulin and glucose concentrations. Here we show that the risk genotype of this SNP predicts future type 2 diabetes (T2D) in two large prospective studies. Specifically, the risk genotype was associated with impairment of early insulin response to both oral and intravenous glucose and with faster deterioration of insulin secretion over time. We also show that the MTNR1B mRNA is expressed in human islets, and immunocytochemistry confirms that it is primarily localized in beta cells in islets. Nondiabetic individuals carrying the risk allele and individuals with T2D showed increased expression of the receptor in islets. Insulin release from clonal beta cells in response to glucose was inhibited in the presence of melatonin. These data suggest that the circulating hormone melatonin, which is predominantly released from the pineal gland in the brain, is involved in the pathogenesis of T2D. Given the increased expression of MTNR1B in individuals at risk of T2D, the pathogenic effects are likely exerted via a direct inhibitory effect on beta cells. In view of these results, blocking the melatonin ligand-receptor system could be a therapeutic avenue in T2D.
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“the rs10830963 T2D risk variant is associated with impaired fasting glucose and measures of decreased insulin secretion in daytime OGTT assessments (26).”
From Interplay of Dinner Timing and MTNR1B Type 2 Diabetes Risk Variant on Glucose Tolerance and Insulin Secretion: A Randomized Crossover Trial (2022) · cites this paper as [26]
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“As expected, the genotype distribution in the ONTIME population mirrored that in previous genome-wide association study of European ancestry (G allele frequency 5 0.30 with CC, 50%; CG, 40%; and GG, 10%) (26).”
From Interplay of Dinner Timing and MTNR1B Type 2 Diabetes Risk Variant on Glucose Tolerance and Insulin Secretion: A Randomized Crossover Trial (2022) · cites this paper as [26]
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Cites
Matsuda, M., & DeFronzo, R. A. (1999) · Diabetes Care · doi:10.2337/diacare.22.9.1462 · Cited by 5,621
A genome-wide association study identifies novel risk loci for type 2 diabetes
Sladek, R., Rocheleau, G., Rung, J., Dina, C., Shen, L., Serre, D., Boutin, P., Vincent, D., Belisle, A., Hadjadj, S., et al. (2007) · Nature · doi:10.1038/nature05616 · Cited by 2,993
Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels
Saxena, R., Voight, B. F., Lyssenko, V., Burtt, N. P., de Bakker, P. I. W., Chen, H., Roix, J. J., Kathiresan, S., Hirschhorn, J. N., Daly, M. J., et al. (2007) · Science · doi:10.1126/science.1142358 · Cited by 2,843
A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants
Scott, L. J., Mohlke, K. L., Bonnycastle, L. L., Willer, C. J., Li, Y., Duren, W. L., Erdos, M. R., Stringham, H. M., Chines, P. S., Jackson, A. U., et al. (2007) · Science · doi:10.1126/science.1142382 · Cited by 2,753
Self-citationReplication of Genome-Wide Association Signals in UK Samples Reveals Risk Loci for Type 2 Diabetes
Zeggini, E., Weedon, M. N., Lindgren, C. M., Frayling, T. M., Elliott, K. S., Lango, H., Timpson, N. J., Perry, J. R. B., Rayner, N. W., Freathy, R. M., et al. (2007) · Science · doi:10.1126/science.1142364 · Cited by 2,194
Quantitative estimation of insulin sensitivity.
Bergman, R. N., Ider, Y. Z., Bowden, C. R., & Cobelli, C. (1979) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1979.236.6.e667 · Cited by 1,874
Wellcome Trust Case Control Consortium, Zeggini, E., Scott, L. J., Saxena, R., Voight, B. F., Marchini, J. L., Hu, T., de Bakker, P. I., Abecasis, G. R., Almgren, P., et al. (2008) · Nature Genetics · doi:10.1038/ng.120 · Cited by 1,864
Clinical risk factors, DNA variants, and the development of type 2 diabetes
Lyssenko, V., Jonsson, A., Almgren, P., Pulizzi, N., Isomaa, B., Tuomi, T., Berglund, G., Altshuler, D., Nilsson, P., & Groop, L. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0801869 · Cited by 938
Physiological effects of melatonin: Role of melatonin receptors and signal transduction pathways
Pandi-Perumal, S. R., Trakht, I. N., SRINIVASAN, V., SPENCE, D., Maestroni, G. J. M., Zisapel, N., & Cardinali, D. P. (2008) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2008.04.001 · Cited by 799
Variants in MTNR1B influence fasting glucose levels
Prokopenko, I., Langenberg, C., Florez, J. C., Saxena, R., Soranzo, N., Þorleifsson, G., Loos, R. J. F., Manning, A. K., Jackson, A., Aulchenko, Y. S., et al. (2008) · Nature Genetics · doi:10.1038/ng.290 · Cited by 743
Flagged first, then by citations
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Transcriptional architecture of the mammalian circadian clock
Takahashi, J. S. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.150 · Cited by 2,786
DeFronzo, R. A., Ferrannini, E., Groop, L., Henry, R. R., Herman, W. H., Holst, J. J., Hu, F. B., Kahn, C. R., Raz, I., Shulman, G. I., et al. (2015) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2015.19 · Cited by 2,611
Dibner, C., Schibler, U., & Albrecht, U. (2010) · Annual Review of Physiology · doi:10.1146/annurev-physiol-021909-135821 · Cited by 2,421
Adverse metabolic and cardiovascular consequences of circadian misalignment
Scheer, F. A. J. L., Hilton, M. F., Mantzoros, C. S., & Shea, S. A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0808180106 · Cited by 2,351
New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk
DIAGRAM Consortium, Dupuis, J., GIANT Consortium, Global BPgen Consortium, Anders Hamsten on behalf of Procardis Consortium, the MAGIC investigators, Langenberg, C., Prokopenko, I., Saxena, R., Soranzo, N., et al. (2010) · Nature Genetics · doi:10.1038/ng.520 · Cited by 2,166
Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis
The MAGIC investigators, Voight, B. F., The GIANT Consortium, Scott, L. J., Steinthorsdottir, V., Morris, A. P., Dina, C., Welch, R. P., Zeggini, E., Huth, C., et al. (2010) · Nature Genetics · doi:10.1038/ng.609 · Cited by 1,761
A Genome-Wide Association Search for Type 2 Diabetes Genes in African Americans
Palmer, N. D., McDonough, C. W., Hicks, P. J., Roh, B. H., Wing, M. R., An, S. S., Hester, J. M., Bailey, J. N. C., Bostrom, M. A., Rudock, M. E., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0029202 · Cited by 1,811
Risk Factors Contributing to Type 2 Diabetes and Recent Advances in the Treatment and Prevention
Wu, Y., Ding, Y., Tanaka, Y., & Zhang, W. (2014) · International Journal of Medical Sciences · doi:10.7150/ijms.10001 · Cited by 1,420
Human genetic variation and its contribution to complex traits
Frazer, K. A., Murray, S. S., Schork, N. J., & Topol, E. J. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2554 · Cited by 1,073
Sleep and circadian rhythm disruption in psychiatric and neurodegenerative disease
Wulff, K., Gatti, S., Wettstein, J. G., & Foster, R. G. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2868 · Cited by 1,055
Genomics, type 2 diabetes, and obesity
McCarthy, M. I. (2010) · New England Journal of Medicine · doi:10.1056/nejmra0906948 · Cited by 938
A Clinical Update on Gestational Diabetes Mellitus
Sweeting, A., Wong, J., Murphy, H. R., & Ross, G. P. (2022) · Endocrine Reviews · doi:10.1210/endrev/bnac003 · Cited by 928
Melatonin—A pleiotropic, orchestrating regulator molecule
Hardeland, R., Cardinali, D. P., Srinivasan, V., Spence, D. W., Brown, G. M., & Pandi-Perumal, S. R. (2011) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2010.12.004 · Cited by 843
Regulation of Insulin Synthesis and Secretion and Pancreatic Beta-Cell Dysfunction in Diabetes
Fu, Z., Gilbert, E. R., & Liu, D. (2012) · Current Diabetes Reviews · doi:10.2174/157339913804143225 · Cited by 925
Circadian Rhythm and Sleep Disruption: Causes, Metabolic Consequences, and Countermeasures
Potter, G. D., Skene, D. J., Arendt, J., Cade, J. E., Grant, P. J., & Hardie, L. J. (2016) · Endocrine Reviews · doi:10.1210/er.2016-1083 · Cited by 781
Dubocovich, M. L., Delagrange, P., Krause, D. N., Sugden, D., Cardinali, D. P., & Olcese, J. (2010) · Pharmacological Reviews · doi:10.1124/pr.110.002832 · Cited by 636
Circadian topology of metabolism
Bass, J. T. (2012) · Nature · doi:10.1038/nature11704 · Cited by 636
Regulation of insulin synthesis and secretion and pancreatic Beta-cell dysfunction in diabetes.
Fu, Z., Gilbert, E. R., & Liu, D. (2013) · PubMed · Cited by 600
Gooley, J. J., Chamberlain, K., Smith, K. A., Khalsa, S. B. S., Rajaratnam, S. M. W., Van Reen, E., Zeitzer, J. M., Czeisler, C. A., & Lockley, S. W. (2011) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2010-2098 · Cited by 565
Lawlor, N. T., George, J., Bolisetty, M. T., Kursawe, R., Sun, L., Vijayakumar, S., Kycia, I., Robson, P., & Stitzel, M. L. (2016) · Genome Research · doi:10.1101/gr.212720.116 · Cited by 543
Circadian Rhythms and Metabolic Syndrome
Maury, E., Ramsey, K. M., & Bass, J. T. (2010) · Circulation Research · doi:10.1161/circresaha.109.208355 · Cited by 509
Circadian disruption and human health
Fishbein, A. B., Knutson, K. L., & Zee, P. C. (2021) · Journal of Clinical Investigation · doi:10.1172/jci148286 · Cited by 468
Genetics of Type 2 Diabetes—Pitfalls and Possibilities
Prasad, R., & Groop, L. (2015) · Genes · doi:10.3390/genes6010087 · Cited by 458
Self-citationMelatonin and inflammation-Story of a double-edged blade
Hardeland, R. (2018) · Journal of Pineal Research · doi:10.1111/jpi.12525 · Cited by 455
Circadian Disruption Leads to Insulin Resistance and Obesity
Shi, S.-Q., Ansari, T. S., McGuinness, O. P., Wasserman, D. H., & Johnson, C. H. (2013) · Current Biology · doi:10.1016/j.cub.2013.01.048 · Cited by 452
Hardeland, R., Madrid, J. A., Tan, D. X., & Reiter, R. J. (2011) · Journal of Pineal Research · doi:10.1111/j.1600-079x.2011.00934.x · Cited by 457
Soranzo, N., Sanna, S., Wheeler, E., Gieger, C., Radke, D., Dupuis, J., Bouatia‐Naji, N., Langenberg, C., Prokopenko, I., Stolerman, E., et al. (2010) · Diabetes · doi:10.2337/db10-0502 · Cited by 448
Update on melatonin receptors: IUPHAR Review 20
Jockers, R., Delagrange, P., Dubocovich, M. L., Markus, R. P., Renault, N., Tosini, G., Cecon, E., & Zlotos, D. P. (2016) · British Journal of Pharmacology · doi:10.1111/bph.13536 · Cited by 450
Islet G protein-coupled receptors as potential targets for treatment of type 2 diabetes
Åhrén, B. (2009) · Nature Reviews Drug Discovery · doi:10.1038/nrd2782 · Cited by 424
Energy metabolism in health and diseases
Liu, H., Wang, S., Wang, J., Guo, X., Song, Y., Fu, K., Gao, Z., Liu, D., He, W., & Yang, L. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02141-x · Cited by 484
Time-Restricted Eating to Prevent and Manage Chronic Metabolic Diseases
Chaix, A., Manoogian, E. N. C., Melkani, G. C., & Panda, S. (2019) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-082018-124320 · Cited by 424
Gaulton, K. J., Ferreira, T. C., Lee, Y., Raimondo, A., Mägi, R., Reschen, M. E., Mahajan, A., Locke, A. E., Rayner, N. W., Robertson, N., et al. (2015) · Nature Genetics · doi:10.1038/ng.3437 · Cited by 399
The genetics of type 2 diabetes: what have we learned from GWAS?
Billings, L. K., & Florez, J. C. (2010) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2010.05838.x · Cited by 402
Dimas, A. S., Lagou, V., Barker, A., Knowles, J. W., Mägi, R., Hivert, M., Benazzo, A., Rybin, D. V., Jackson, A., Stringham, H. M., et al. (2013) · Diabetes · doi:10.2337/db13-0949 · Cited by 359
Circadian System and Glucose Metabolism: Implications for Physiology and Disease
Qian, J., & Scheer, F. A. J. L. (2016) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2016.03.005 · Cited by 370
Rare MTNR1B variants impairing melatonin receptor 1B function contribute to type 2 diabetes
The Meta-Analysis of Glucose and Insulin-Related Traits Consortium (MAGIC), Bonnefond, A., Clément, N., Fawcett, K., Yengo, L., Vaillant, E., Guillaume, J.-L., Dechaume, A., Payne, F., Roussel, R., et al. (2012) · Nature Genetics · doi:10.1038/ng.1053 · Cited by 363
Impact of circadian disruption on glucose metabolism: implications for type 2 diabetes
Mason, I. C., Qian, J., Adler, G. K., & Scheer, F. A. J. L. (2020) · Diabetologia · doi:10.1007/s00125-019-05059-6 · Cited by 359
Tsai, F., Yang, C.-F., Chen, C., Chuang, L., Lu, C.-H., Chang, C., Wang, T.-Y., Chen, R.-H., Shiu, C.-F., Liu, Y.-M., et al. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1000847 · Cited by 348
Time-restricted eating for the prevention and management of metabolic diseases
Manoogian, E. N. C., Chow, L. S., Taub, P. R., Laferrère, B., & Panda, S. (2022) · Endocrine Reviews · doi:10.1210/endrev/bnab027 · Cited by 344
Circadian control of glucose metabolism
Kalsbeek, A., la Fleur, S., & Fliers, E. (2014) · Molecular Metabolism · doi:10.1016/j.molmet.2014.03.002 · Cited by 338
Reutrakul, S., & Van Cauter, E. (2014) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12355 · Cited by 321
McHill, A. W., & Wright, K. P. (2017) · Obesity Reviews · doi:10.1111/obr.12503 · Cited by 330
Melatonin receptors: molecular pharmacology and signalling in the context of system bias
Cecon, E., Oishi, A., & Jockers, R. (2017) · British Journal of Pharmacology · doi:10.1111/bph.13950 · Cited by 286
Sulli, G., Manoogian, E. N. C., Taub, P. R., & Panda, S. (2018) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2018.07.003 · Cited by 293
Circadian Clocks and Metabolism
Marcheva, B., Ramsey, K. M., Peek, C. B., Affinati, A., Maury, E., & Bass, J. (2013) · Handbook of Experimental Pharmacology · doi:10.1007/978-3-642-25950-0_6 · Cited by 282
A Genome-Wide Association Study of Gestational Diabetes Mellitus in Korean Women
Kwak, S. H., Kim, S., Cho, Y. M., Go, M. J., Cho, Y. S., Choi, S. H., Moon, M. K., Jung, H. S., Shin, H. D., Kang, H. M., et al. (2012) · Diabetes · doi:10.2337/db11-1034 · Cited by 277
Sleep and Metabolism: An Overview
Sharma, S., & Kavuru, M. S. (2010) · International Journal of Endocrinology · doi:10.1155/2010/270832 · Cited by 296
Yamauchi, T., Hara, K., Maeda, S., Yasuda, K., Takahashi, A., Horikoshi, M., Nakamura, M., Fujita, H., Grarup, N., Cauchi, S., et al. (2010) · Nature Genetics · doi:10.1038/ng.660 · Cited by 272
Melatonin in type 2 diabetes mellitus and obesity
Karamitri, A., & Jockers, R. (2019) · Nature Reviews Endocrinology · doi:10.1038/s41574-018-0130-1 · Cited by 268
Genome-wide characterization of circulating metabolic biomarkers
Karjalainen, M. K., Karthikeyan, S., Oliver‐Williams, C., Sliz, E., Allara, E., Fung, W. T., Surendran, P., Zhang, W., Jousilahti, P., Kristiansson, K., et al. (2024) · Nature · doi:10.1038/s41586-024-07148-y · Cited by 274
Perry, J. R. B., Voight, B. F., Yengo, L., Amin, N., Dupuis, J., Ganser, M. A., Grallert, H., Navarro, P., Li, M., Qi, L., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002741 · Cited by 266
Increased melatonin signaling is a risk factor for type 2 diabetes
Tuomi, T., Nagorny, C. L. F., Singh, P., Bennet, H., Yu, Q., Alenkvist, I., Isomaa, B., Östman, B., Söderström, J., Pesonen, A.-K., et al. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.04.009 · Cited by 262
Ingelsson, E., Langenberg, C., Hivert, M., Prokopenko, I., Lyssenko, V., Dupuis, J., Mägi, R., Sharp, S. J., Jackson, A., Assimes, T. L., et al. (2010) · Diabetes · doi:10.2337/db09-1568 · Cited by 259
Færch, K., Borch‐Johnsen, K., Holst, J. J., & Vaag, A. A. (2009) · Diabetologia · doi:10.1007/s00125-009-1443-3 · Cited by 259
A Bivariate Genome-Wide Approach to Metabolic Syndrome
Kraja, A. T., Vaidya, D. M., Pankow, J. S., Goodarzi, M. O., Assimes, T. L., Kullo, I. J., Sovio, U., Mathias, R. A., Sun, Y. V., Franceschini, N., et al. (2011) · Diabetes · doi:10.2337/db10-1011 · Cited by 255
Gale, J. E., Cox, H. I., Qian, J., Block, G. D., Colwell, C. S., & Matveyenko, A. V. (2011) · Journal of Biological Rhythms · doi:10.1177/0748730411416341 · Cited by 247
Circadian timing of metabolism in animal models and humans
Dibner, C., & Schibler, U. (2015) · Journal of Internal Medicine · doi:10.1111/joim.12347 · Cited by 237
Circadian rhythms in glucose and lipid metabolism in nocturnal and diurnal mammals
Kumar Jha, P., Challet, E., & Kalsbeek, A. (2015) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2015.01.024 · Cited by 235
Genetics of circadian rhythms and sleep in human health and disease
Lane, J. M., Qian, J., Mignot, E., Redline, S., Scheer, F. A. J. L., & Saxena, R. (2023) · Nature Reviews Genetics · doi:10.1038/s41576-022-00519-z · Cited by 236
Self-citationGenome-wide association studies in type 2 diabetes
McCarthy, M. I., & Zeggini, E. (2009) · Current Diabetes Reports · doi:10.1007/s11892-009-0027-4 · Cited by 235
Melatonin and circadian biology in human cardiovascular disease
Domínguez‐Rodríguez, A., Abreu-González, P., Sanchez-Sanchez, J. J., Kaski, J. C., & Reiter, R. J. (2010) · Journal of Pineal Research · doi:10.1111/j.1600-079x.2010.00773.x · Cited by 232
Obstructive Sleep Apnea and Cardiovascular Disease
Pack, A. I., & Gislason, T. (2009) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2009.01.002 · Cited by 228
Recent progress in genetic and epigenetic research on type 2 diabetes
Kwak, S. H., & Park, K. S. (2016) · Experimental & Molecular Medicine · doi:10.1038/emm.2016.7 · Cited by 228
Santhi, N., Thorne, H. C., van der Veen, D. R., Johnsen, S., Mills, S. L., Hommes, V., Schlangen, L. J. M., Archer, S. N., & Dijk, D. (2012) · Journal of Pineal Research · doi:10.1111/j.1600-079x.2011.00970.x · Cited by 219
The genetic and epigenetic basis of type 2 diabetes and obesity
Drong, A. W., Lindgren, C. M., & McCarthy, M. I. (2012) · Clinical Pharmacology & Therapeutics · doi:10.1038/clpt.2012.149 · Cited by 212
The Metabolic Syndrome in Men study: a resource for studies of metabolic and cardiovascular diseases
Laakso, M., Kuusisto, J., Stančáková, A., Kuulasmaa, T., Pajukanta, P., Lusis, A. J., Collins, F. S., Mohlke, K. L., & Boehnke, M. (2017) · Journal of Lipid Research · doi:10.1194/jlr.o072629 · Cited by 208
Gene-Diet Interaction and Precision Nutrition in Obesity
Heianza, Y., & Qi, L. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18040787 · Cited by 222
Stitzel, M. L., Sethupathy, P., Pearson, D. S., Chines, P. S., Song, L., Erdos, M. R., Welch, R., Parker, S. C. J., Boyle, A. P., Scott, L. J., et al. (2010) · Cell Metabolism · doi:10.1016/j.cmet.2010.09.012 · Cited by 193
Hardeland, R. (2012) · Europe PMC (PubMed Central) · Cited by 203
Circadian Etiology of Type 2 Diabetes Mellitus
Javeed, N., & Matveyenko, A. V. (2018) · Physiology · doi:10.1152/physiol.00003.2018 · Cited by 219
The Epidemiology of Sleep and Diabetes
Ogilvie, R. P., & Patel, S. R. (2018) · Current Diabetes Reports · doi:10.1007/s11892-018-1055-8 · Cited by 211
Schipper, S. B. J., Van Veen, M. M., Elders, P. J. M., van Straten, A., Van Der Werf, Y. D., Knutson, K. L., & Rutters, F. (2021) · Diabetologia · doi:10.1007/s00125-021-05541-0 · Cited by 202
An atlas and functional analysis of G-protein coupled receptors in human islets of Langerhans
Amisten, S., Salehi, A. A., Rorsman, P., Jones, P. M., & Persaud, S. J. (2013) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2013.05.004 · Cited by 205
Huang, T., & Redline, S. S. (2019) · Diabetes Care · doi:10.2337/dc19-0596 · Cited by 190
Melatonin effects on glucose metabolism: time to unlock the controversy
Garaulet, M., Qian, J., Florez, J. C., Arendt, J., Saxena, R., & Scheer, F. A. J. L. (2020) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2019.11.011 · Cited by 193
Self-citationSchroeder, A., & Colwell, C. S. (2013) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2013.09.002 · Cited by 201
van de Bunt, M., Fox, J. E. M., Dai, X.-Q., Barrett, A., Grey, C. L., Li, L., Bennett, A. J., Johnson, P. R. V., Rajotte, R. V., Gaulton, K. J., et al. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1005694 · Cited by 181
Acute melatonin administration in humans impairs glucose tolerance in both the morning and evening
Rubio-Sastre, P., Scheer, F. A. J. L., Gómez-Abellán, P., Madrid, J. A., & Garaulet, M. (2014) · SLEEP · doi:10.5665/sleep.4088 · Cited by 180
Comai, S., & Gobbi, G. (2014) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.130009 · Cited by 184
Arble, D. M., Bass, J., Behn, C. D., Butler, M. P., Challet, E., Czeisler, C., Depner, C. M., Elmquist, J., Franken, P., Grandner, M. A., et al. (2015) · Sleep · doi:10.5665/sleep.5226 · Cited by 173
Morning Circadian Misalignment during Short Sleep Duration Impacts Insulin Sensitivity
Eckel, R. H., Depner, C. M., Perreault, L., Markwald, R. R., Smith, M. R., McHill, A. W., HIGGINS, J. A., Melanson, E. L., & Wright, K. P. (2015) · Current Biology · doi:10.1016/j.cub.2015.10.011 · Cited by 173
Stančáková, A., Kuulasmaa, T., Paananen, J., Jackson, A., Bonnycastle, L. L., Collins, F. S., Boehnke, M., Kuusisto, J., & Laakso, M. (2009) · Diabetes · doi:10.2337/db09-0117 · Cited by 171
Melatonin improves glucose homeostasis in young Zucker diabetic fatty rats
Agil, A., Rosado, I., Ruiz, R., Figueroa, A., Zen, N., & Fernández‐Vázquez, G. (2012) · Journal of Pineal Research · doi:10.1111/j.1600-079x.2011.00928.x · Cited by 169
Melatonin receptors in pancreatic islets: good morning to a novel type 2 diabetes gene
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Metadata
- Authors
- Lyssenko, V., Nagorny, C. L. F., Erdos, M. R., Wierup, N., Jonsson, A., Spégel, P., Bugliani, M., Saxena, R., Fex, M., Pulizzi, N., Isomaa, B., Tuomi, T., Nilsson, P., Kuusisto, J., Tuomilehto, J., Boehnke, M., Altshuler, D., Sundler, F., Eriksson, J. G., Jackson, A. U., Laakso, M., Marchetti, P., Watanabe, R. M., Mulder, H., & Groop, L.
- Affiliations
- Lund University (SE)
- National Human Genome Research Institute (US)
- University of Pisa (IT)
- Broad Institute (US)
- Folkhälsans Forskningscentrum (FI)
- University of Helsinki (FI)
- Kuopio University Hospital (FI)
- University of Michigan (US)
- University of Southern California (US)
- Corresponding author
- Groop, Leif
- ORCID
- Venue
- Nature Genetics
- Published
- 2008-12-07
- Volume
- 41
- Issue
- 1
- Pages
- 82-88
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC3725650
- OpenAlex
- W2126776706
- Cited by
- 742
- References
- 31
- Citations by year
- 2026: 21 · 2025: 22 · 2024: 32 · 2023: 28 · 2022: 25 · 2021: 40 · 2020: 33 · 2019: 35 · 2018: 46 · 2017: 50 · 2016: 46 · 2015: 51 · 2014: 48 · 2013: 42 · 2012: 51
- FWCI
- 60.06
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Genetics (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- CINECA IRIS Institutial research information system (University of Pisa) (submittedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
- STM:n Hallinnonalan avoin julkaisuarkisto (Julkari) (submittedVersion)
- Funders
- National Institutes of Health
- National Human Genome Research Institute (Z01HG000024)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK072193, U01DK062370, R56DK062370, DK-062370, R01DK062370)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Pancreatic function and diabetes
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- MTNR1B, type 2 diabetes, insulin secretion, early insulin response, glucose tolerance, pancreatic beta cells, pancreatic islets, melatonin, genetic susceptibility, risk alleles, insulin release inhibition
- MeSH terms
- Insulin Secretion, Aged, Animals, Diabetes Mellitus, Type 2, Female, Gene Expression Regulation, Humans, Insulin, Islets of Langerhans, Male, Middle Aged, Cohort Studies, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Protein Transport, Receptors, Melatonin, Receptor, Melatonin, MT2, Mice, Rats
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