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Evidence for a Circadian Rhythm of Insulin Sensitivity in Patients With NIDDM Caused by Cyclic Changes in Hepatic Glucose Production
Abstract
Diurnal variation in insulin sensitivity in patients with NIDDM has long been suspected but has been difficult to document mainly because of the interdependence of changes in glucose and insulin. Stable serum insulin levels during hyperglycemic clamping in patients with NIDDM in the present study provided the opportunity to examine changes in insulin sensitivity unaffected by changes in blood glucose and insulin concentrations. Six patients with NIDDM (four men and two women, BMI 33.9 ± 2.5) underwent hyperglycemic (11.1 mmol/l, ∼200 mg/dl) clamping for 72 h. Measured were serum insulin, free fatty acid (FFA), cortisol, and growth hormone concentrations and rates of insulin secretion, insulin clearance, and glucose infusion rate (GIR) needed to maintain hyperglycemia. In addition, five patients (three men and two women, BMI 32.6 ± 0.6) underwent hyperglycemic clamping for 24 h with hourly determinations of hepatic glucose production (HGP) and glucose disappearance rates (GRd). GIR, reflecting insulin sensitivity, changed rhythmically with a cycle duration of 22.9 ± 1.4 h and an amplitude of 47.8 ± 11.2%. GIR was lowest at 8:31 a.m. (±52 min) and highest at 7:04 p.m. (±58 min). Circadian changes in GIR were completely accounted for by changes in HGP, while GRd remained unchanged. Plasma levels of FFAs and cortisol also exhibited circadian fluctuations, and their blood levels correlated negatively with GIR (r = −0.72 and −0.64, respectively). We concluded that insulin sensitivity in patients with NIDDM changed with circadian (∼24 h) rhythmicity (decreasing during the night and increasing during the day). These changes were unrelated to blood levels of glucose and insulin, insulin clearance, exercise, food intake, and sleep. They were caused by circadian changes in HGP, which in turn were closely correlated with circadian changes in blood FFA and cortisol levels. We believe that recognition of these circadian changes has implications for the diagnosis and the treatment of patients with NIDDM.
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“the degree of insulin resistance in patients with type 2 diabetes correlates with the elevation in nocturnal NEFA levels [30].”
From Sleep restriction increases free fatty acids in healthy men (2015) · cites this paper as [30]
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Abbie, E., François, M. E., Chang, C. R., Barry, J., & Little, J. P. (2020) · Clinical Nutrition · doi:10.1016/j.clnu.2020.03.008 · Cited by 23
Automated insulin delivery for type 1 diabetes
Steil, G. M., & Saad, M. F. (2006) · Current Opinion in Endocrinology & Diabetes · doi:10.1097/01.med.0000216971.61160.57 · Cited by 23
Wise, S., Nielsen, M. F., & Rizza, R. A. (1997) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.82.6.3971 · Cited by 26
Kreier, F., Kalsbeek, A., Ruiter, M., Yılmaz, A., Romijn, J. A., Sauerwein, H. P., Fliers, E., & Buijs, R. M. (2003) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2003.08.092 · Cited by 23
Review of surveys for risk factors of major chronic diseases and comparability of the results
Finland, H. (2002) · Cited by 22
Daytime variations in glucose tolerance in people with impaired glucose tolerance
Santos, M. L., Aragon, F. F., Padovani, C. R., & Pimenta, W. P. (2006) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2006.04.007 · Cited by 23
“The opposite NGT individuals’ pattern was seen in daytime glucose tolerance variation, that is, improved from morning to evening, with different stimulus in T2DM patients [16,17,30].”
BackgroundRuiter, M., Buijs, R. M., & Kalsbeek, A. (2006) · Current Diabetes Reviews · doi:10.2174/157339906776818596 · Cited by 22
“hepatic glucose production is stimulated at the onset of the activity period [19, 20, 117].”
BackgroundRøge, R. M., Klim, S., Kristensen, N. R., Ingwersen, S. H., & Kjellsson, M. C. (2014) · The Journal of Clinical Pharmacology · doi:10.1002/jcph.270 · Cited by 20
“The EGP in T2DM displays a diurnal rhythm and is therefore never at steady state.(21,32,33) EGP is elevated by 30–50% in the morning and decreases gradually to rates comparable to healthy control subjects by the afternoon.”
BackgroundEffect of growth hormone on dawn phenomenon in patients with type 2 diabetes
Shih, K., Hsieh, S., Kwok, C., Hwu, C., Hsieh, P., & Ho, L.-T. (2013) · Growth Factors · doi:10.3109/08977194.2013.772996 · Cited by 19
“Boden et al. (1996) demonstrated that diurnal variation in insulin sensitivity in patients with T2DM was caused by circadian (cyclic) changes in hepatic glucose production, correlating closely with circadian changes in plasma NEFA and cortisol levels (Boden et al. 1996).”
BackgroundThe different mechanisms of insulin sensitizers to prevent type 2 diabetes in OLETF rats
Choi, S. H., Zhao, Z. S., Lee, Y.-J., Kim, S. K., Kim, D. J., Ahn, C. W., Lim, S. K., Lee, H. C., & Soo, B. (2007) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.756 · Cited by 19
Equal improvement in glycaemia with lixisenatide given before breakfast or the main meal of the day
Åhrén, B., Ворохобина, Н. В., Souhami, E., Demil, N., Ye, J., & Aronson, R. (2014) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2014.05.012 · Cited by 19
“Morning hyperglycaemia is thought to occur due to a deficit in insulin secretion in patients with T2DM, acting in concert with circadian variations in hepatic glucose output, which peaks in the early morning due to overnight fasting [4,5].”
BackgroundTakahashi, H., Nishimura, R., Tsujino, D., & Utsunomiya, K. (2018) · Journal of Diabetes Investigation · doi:10.1111/jdi.12922 · Cited by 21
Novelli, M., Pocai, A., Chiellini, C., Maffei, M., & Masiello, P. (2007) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.785 · Cited by 19
Metabolism as an integral cog in the mammalian circadian clockwork
Gamble, K. L., & Young, M. E. (2013) · Critical Reviews in Biochemistry and Molecular Biology · doi:10.3109/10409238.2013.786672 · Cited by 18
“Although insulin sensitivity is relatively low during the night in healthy people, subjects with diabetes show increased sensitivity to insulin at this phase (Boden et al., 1996).”
BackgroundYe, C., Zhang, Y., Lin, S., Chen, Y., Wang, Z., Feng, H., Fang, G., & Quan, S. (2023) · Molecules · doi:10.3390/molecules28041874 · Cited by 20
“For example, it has been reported that the impairment of circadian rhythms leads to the development of diabetes via inducing abnormal insulin secretion, decreasing the insulin sensitivity, and exacerbating the inflammation [10].”
BackgroundColette, C., Ginet, C., Boegner, C., Bénichou, M., Pham, T. C., Cristol, J., & Monnier, L. (2005) · European Journal of Clinical Investigation · doi:10.1111/j.1365-2362.2005.01482.x · Cited by 18
Timing Is Important—Management of Metabolic Syndrome According to the Circadian Rhythm
Zečević, K., Popović, N., Vuksanović-Božarić, A., Vukmirović, M., Rizzo, M., & Muzurović, E. M. (2023) · Biomedicines · doi:10.3390/biomedicines11041171 · Cited by 19
“A study by Takeshita et al. compared the effects of two different insulin regimens—basal (insulin glargine) versus bolus insulin (glulisine)—on metabolic and cardiovascular autonomic function in Japanese participants with T2DM [125].”
BackgroundInfluentialDesign and in silico evaluation of an intraperitoneal–subcutaneous (IP–SC) artificial pancreas
Lee, J. J., Dassau, E., Zisser, H., & Doyle, F. J. (2014) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2014.02.024 · Cited by 18
Targeting prandial hyperglycemia: How important is it and how best to do this?
Monnier, L., & Colette, C. (2008) · Current Diabetes Reports · doi:10.1007/s11892-008-0064-4 · Cited by 15
Tsuji, T., Mizushige, K., Noma, T., et al. (2002) · Cardiovascular Drugs and Therapy · doi:10.1023/a:1022138519281 · Cited by 15
Feldhahn, J. R., Rand, J., & Kinnaird, E. (1999) · Journal of feline medicine and surgery · doi:10.1053/jfms.1999.0056 · Cited by 17
“This may have implications for the diagnosis and the treatment of patients with type 2 diabetes (Boden et al 1996, Gautier & Cathelineau 1997).”
BackgroundInfluentialUejio, C. K., Joiner, A., Gonsoroski, E., Tamerius, J. D., Jung, J., Moran, T. P., & Yancey, A. H. (2022) · Environmental Research · doi:10.1016/j.envres.2022.113271 · Cited by 14
Lajara, R., Cengiz, E., & Tanenberg, R. J. (2017) · Current Medical Research and Opinion · doi:10.1080/03007995.2017.1298522 · Cited by 14
Ortega, J. F., Hamouti, N., Fernández-Elías, V. E., & Mora-Rodriguez, R. (2014) · Applied Physiology Nutrition and Metabolism · doi:10.1139/apnm-2013-0507 · Cited by 14
“Although circadian rhythm could affect insulin sensitivity between morning and afternoon trials (Boden et al. 1996), it is unlikely that circadian rhythm could be a factor when trials are spaced only by one hour (0800 and 0900 h).”
BackgroundRamadan and diabetes: What we see, learn and understand from continuous glucose monitoring
Monnier, L., Azrak, A. E., Lessan, N. G., Rochd, D., Colette, C., & Bonnet, F. (2015) · Diabetes & Metabolism · doi:10.1016/j.diabet.2015.09.002 · Cited by 11
Muzhikov, V., Vershinina, E. A., Belenky, V., et al. (2016) · Acupuncture & Electro-Therapeutics Research · doi:10.3727/036012916x14597946741483 · Cited by 12
Metabolic Homeostasis: It’s All in the Timing
Brubaker, P. L., & Martchenko, A. (2021) · Endocrinology · doi:10.1210/endocr/bqab199 · Cited by 14
Insulin Resistance: Site of the Primary Defect or how the Current and the Emerging Therapies Work
Kolaczynski, J. W., & Caro, J. F. (1998) · Journal of Basic and Clinical Physiology and Pharmacology · doi:10.1515/jbcpp.1998.9.2-4.281 · Cited by 12
Sakuma, M., Arai, H., Mizuno, A., Fukaya, M., Matsuura, M., Sasaki, H., Yamanaka‐Okumura, H., Yamamoto, H., Taketani, Y., Doi, T., et al. (2009) · Journal of Clinical Biochemistry and Nutrition · doi:10.3164/jcbn.09-08 · Cited by 12
“3164/jcb .09-08Original ArticleImprovement of Glucose Metabolism in Patients with Impaired”
BackgroundBilu, C., Einat, H., Zimmet, P., & Kronfeld‐Schor, N. (2022) · Frontiers in Physiology · doi:10.3389/fphys.2022.963449 · Cited by 11
“In individuals with T2DM, there is a daily rhythm in insulin sensitivity, with decreasing insulin sensitivity and increasing hepatic glucose production across the night (Boden et al., 1996), which leads to a fasting/morning hyperglycemia (Radziuk and Pye, 2006).”
BackgroundAn Introduction to Circadian Endocrine Physiology: Implications for Exercise and Sports Performance
Postolache, T. T., Gulati, A., Okusaga, O. O., & Stiller, J. W. (2020) · Contemporary Endocrinology · doi:10.1007/978-3-030-33376-8_20 · Cited by 13
Why does quick‐release bromocriptine decrease cardiac events?
Bell, D. S. H. (2011) · Diabetes Obesity and Metabolism · doi:10.1111/j.1463-1326.2011.01424.x · Cited by 11
Yang, R., Lei, Q., Liu, Z., Shan, X., Han, S., Tang, Y., Niu, F., Liu, H., Jiang, W., Wei, W., et al. (2024) · BMC Medicine · doi:10.1186/s12916-024-03736-x · Cited by 13
Liu, D., Zhang, Y., Jiang, J., Choi, J. K., Li, X., Zhu, D., Xiao, D., Ding, Y., Fan, H., Chen, L., et al. (2016) · Clinical Pharmacokinetics · doi:10.1007/s40262-016-0484-2 · Cited by 10
“In the present study, careful research was conducted, in which we modified the model structure based on the results of our research, and new mechanisms (circadian rhythm [12, 13] and food effect [11]) were addressed and confirmed from other studies.”
MethodResultNouripour, F., Mazloom, Z., Fararouei, M., & Zamani, A. (2020) · British Journal Of Nutrition · doi:10.1017/s0007114520001944 · Cited by 10
Andriessen, C., Schrauwen, P., & Hoeks, J. (2020) · International Journal of Obesity · doi:10.1038/s41366-020-00719-9 · Cited by 13
Takeda, E., Yamanaka‐Okumura, H., Taketani, Y., Inagaki, N., Hosokawa, M., Shide, K., Maegawa, H., Kondo, K., Kawasaki, E., Shinozaki, S., et al. (2015) · Journal of Clinical Biochemistry and Nutrition · doi:10.3164/jcbn.14-132 · Cited by 10
Ni, Y., Ma, L., Wu, T., Lim, A. L., Zhang, W., Yang, L., Nakao, Y., & Fu, Z. (2018) · Life Sciences · doi:10.1016/j.lfs.2018.03.047 · Cited by 9
Effect of a dosing-time on quetiapine-induced acute hyperglycemia in mice
Kapse, S., Ando, H., Fujiwara, Y., et al. (2017) · Journal of Pharmacological Sciences · doi:10.1016/j.jphs.2017.02.008 · Cited by 9
Wang, J., Lee, I., Lee, W., Lin, S.-D., Su, S., Tu, S., Lin, S., & Sheu, W. H. (2021) · Therapeutic Advances in Chronic Disease · doi:10.1177/20406223211033674 · Cited by 9
Tracer-determined glucose fluxes in health and type 2 diabetes: basal conditions
Radziuk, J., & Pye, S. (2003) · Best Practice & Research Clinical Endocrinology & Metabolism · doi:10.1016/s1521-690x(03)00038-1 · Cited by 9
The impact of insulin pharmacokinetics and pharmacodynamics on the closed-loop artificial pancreas
Lee, J. J., Dassau, E., Zisser, H., Tamborlane, W. V., WEINZIMER, S. A., & Doyle, F. J. (2013) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2013.6759870 · Cited by 9
Implications of Enteral and Parenteral Feeding Times
Rothschild, J. A., & Lagakos, W. (2014) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607114551026 · Cited by 9
da Rocha, L. S., de Matos, R. J. B., de Souza, J. A., Costa, A. C. O., de Souza, S. L., Muniz, G. D. S., & do Nascimento, E. (2017) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2016-0536 · Cited by 9
Attenuation of circadian rhythms of food intake and respiration in aging diabetes-prone BHE/Cdb rats
Mathews, C. E., Wickwire, K., Flatt, W. P., et al. (2000) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.2000.279.1.r230 · Cited by 9
“Many years ago, Jarrett and others (11, 14, 15, 27) reported that the normal diurnal rhythm in glucose tolerance was lost as humans progress toward non-insulin-dependent diabetes mellitus.”
BackgroundSchiavon, M., Galderisi, A., Basu, A., Kudva, Y. C., Cengiz, E., & Dalla Man, C. (2023) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2022.0397 · Cited by 8
“Moreover, the previously published method provided values of S ISP more than doubled with respect to those estimated with the MM and the new formula (20.8 [11.0, 41.6] and 40.9 [35.0, 54.5] 10 –4 dL/kg/min per l U/mL with the previous formula, in simulated and real dataset, respectively).”
InfluentialLucidi, P., Perriello, G., Porcellati, F., Pampanelli, S., Fano, M. D., Tura, A., Bolli, G. B., & Fanelli, C. G. (2023) · Diabetes · doi:10.2337/db22-0721 · Cited by 12
Bergenstal, R. M., Strock, E. S., Mazze, R. S., Powers, M. A., Monk, A. M., Richter, S. A., Souhami, E., & Åhrén, B. (2016) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.2879 · Cited by 8
Devlin, B. L., Parr, E. B., Radford, B. E., & Hawley, J. A. (2020) · Clinical Nutrition · doi:10.1016/j.clnu.2020.09.049 · Cited by 8
The impact of glucose sensing dynamics on the closed-loop artificial pancreas
Huyett, L. M., Dassau, E., Zisser, H., & Doyle, F. J. (2015) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2015.7172137 · Cited by 7
“Changes in insulin sensitivity of up to 50% have been experimentally observed [14].”
BackgroundThe correlation of dawn phenomenon with glycemic variability parameters in type 2 diabetes mellitus
Román, G., Bala, C. G., Craciun, C. I., Rusu, A., & Craciun, A. E. (2016) · Revista română de medicină de laborator · doi:10.1515/rrlm-2016-0004 · Cited by 7
Sakimura, K., Maekawa, T., Shinichi, K. U. M. E., & Ohta, T. (2018) · International Journal of Endocrinology · doi:10.1155/2018/9065690 · Cited by 7
The role of blood glucose‐lowering drugs in the light of the UKPDS
Monnier, L. (1999) · Diabetes Obesity and Metabolism · doi:10.1046/j.1463-1326.1999.0010s2014.x · Cited by 7
Monnier, L., & Colette, C. (2008) · Expert Opinion on Pharmacotherapy · doi:10.1517/14656566.9.16.2857 · Cited by 6
“The second step of the deterioration concerned the period that corresponds to the dawn phenomenon [20] and the extended dawn phenomenon, that is the overproduction of glucose by the liver [21] .”
BackgroundOka, R., Hifumi, S., Kobayashi, J., Mabuchi, H., Asano, A., Yagi, K., Hagishita, T., Tanii, H., Yamagishi, M., & Miyamoto, S. (2007) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2007.04.006 · Cited by 6
“Finally, PPG2h would be affected by a circadian variation of hepatic glucose output characterized by a peak value at the end of the overnight fast and a progressive decline throughout the day [24–26].”
BackgroundPan, X., Gao, Y., Zhang, Y., Suzuki, K., Chen, X., He, J., Zhao, X., Jiang, L., Zhang, A., Wang, Y., et al. (2025) · PLoS ONE · doi:10.1371/journal.pone.0318000 · Cited by 7
“Several studies have shown that increasing protein intake increases FFM versus decreasing BF [1,7,13] and improves body composition even when weight is stable [31].”
Self-citationHayek, T., & Rosenblat, M. (2014) · Journal of Horticulture · doi:10.4172/2376-0354.1000106 · Cited by 5
“In diabetic patients, circadian changes in hepatic glucose production were directly correlated with circadian changes in blood free fatty acids and cortisol levels [21].”
BackgroundManagement of Cats on Lente Insulin
Caney, S. (2013) · Veterinary Clinics of North America Small Animal Practice · doi:10.1016/j.cvsm.2012.11.001 · Cited by 5
Échec des antidiabétiques oraux à doses maximales tolérées : Quels traitements injectables?
Monnier, L., & Colette, C. (2016) · Médecine des Maladies Métaboliques · doi:10.1016/s1957-2557(16)30030-x · Cited by 5
Monaghan, M. C., Støy, J., Streisand, R. M., Philipson, L. H., & Cogen, F. R. (2009) · Clinical Diabetes · doi:10.2337/diaclin.27.1.25 · Cited by 5
The Role of the Liver in Insulin Action and Resistance
Radziuk, J., & Pye, S. (1999) · Humana Press eBooks · doi:10.1007/978-1-59259-716-1_11 · Cited by 5
Influence of Spinal Cord Stimulation on Insulin Sensitivity in Chronic Pain Patients
Morgalla, M. H., Fritschle, H., Vosseler, A., Benkendorff, C., Lamprinou, A., Heni, M., & Fritsche, A. (2021) · Experimental and Clinical Endocrinology & Diabetes · doi:10.1055/a-1525-3339 · Cited by 4
Hiroyuki, I. T. O., Yuto, S., Motoi, H., Yagishita, T., TAKEYA, K., SUGIYAMA, K., Kiriyama, S., & Morita, T. (2006) · Bioscience Biotechnology and Biochemistry · doi:10.1271/bbb.60167 · Cited by 4
Tanaka, M., & Ishii, H. (2010) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2010.05.001 · Cited by 4
Mechanism-Based Modeling of the Glucose-Insulin Regulation during Clinical Provocation Experiments
Jauslin-Stetina, P. (2008) · KTH Publication Database DiVA (KTH Royal Institute of Technology) · Cited by 4
Díaz‐Rizzolo, D. A., Yao, H., Santos‐Báez, L. S., Popp, C. J., Borhan, R., Sordi‐Guth, A., DeBonis, D., Manoogian, E. N. C., Panda, S., Cheng, B., et al. (2025) · Nutrients · doi:10.3390/nu17122026 · Cited by 4
“…of the correlation between COF, and especially BOF, without the glucose excursion after LEO, and next-day FG, underscores the importance of metabolic processes during the deeper/pure fasting period, when the body relies on gluconeogenesis and glycogenolysis for endogenous glucose production [36].”
Mapping the daily rhythmic transcriptome in the diabetic retina
Silk, R., Winter, H., Dkhissi‐Benyahya, O., Evans‐Molina, C., Stitt, A. W., Tiwari, V. K., Simpson, D. A. C., & Beli, E. (2023) · Vision Research · doi:10.1016/j.visres.2023.108339 · Cited by 4
“…rhythms of activity, blood pressure, and temperature (Grosbellet et al., 2016; Su et al., 2008), the rhythms of glucose and insulin sensitivity (Boden et al., 1996; Shapiro et al., 1991) circulating immune cells (Beam et al., 2021), metabolites (Beli et al., 2019; Isherwood et al., 2017) and…”
BackgroundInfluentialPancreatic β‐cell Function is Higher in Morning Versus Intermediate Chronotypes With Obesity
Malin, S. K., Remchak, M. E., Heiston, E. M., Fabris, C., & Shah, A. M. (2025) · Obesity Science & Practice · doi:10.1002/osp4.70064 · Cited by 3
“Interestingly, people with obesity and/or type 2 diabetes have been described to have inverted circadian systems, such that they are more insulin resistant and have lower insulin secretion in the morning than the evening (which is opposite of healthy controls) [13, 14, 28].”
A new C‐peptide correction model used to assess bioavailability of regular human insulin
Marino, M. T., Cassidy, J., Baughman, R., Boss, A., & Richardson, P. C. (2010) · Biopharmaceutics & Drug Disposition · doi:10.1002/bdd.723 · Cited by 3
“Circadian rhythms of insulin secretion have been described [9,10].”
Hiperglicemia pós-prandial em pacientes com diabetes melito tipo 2
Cruzes, A. L., Bosco, C. E. T., Pandini, E. V., Hernandez, M. A. M., & da Silva, R. C. Q. (2008) · Arquivos Brasileiros de Endocrinologia & Metabologia · doi:10.1590/s0004-27302008000400010 · Cited by 3
Tailoring nutrient sequence and content to improve glucose tolerance: Why and how to do it
Monnier, L., Bonnet, F., & Colette, C. (2016) · Diabetes & Metabolism · doi:10.1016/j.diabet.2016.04.003 · Cited by 3
An Introduction to Circadian Endocrine Physiology: Implications for Exercise and Sports Performance
Okusaga, O. O., & Postolache, T. T. (2013) · Humana Press eBooks · doi:10.1007/978-1-62703-314-5_20 · Cited by 3
Self-monitoring of blood glucose and type 2 diabetes mellitus
Devehat, C. L. (2006) · Diabetes & Metabolism · doi:10.1016/s1262-3636(06)70480-3 · Cited by 3
Le phénomène de l’aube dans le diabète de type 2 : important ou accessoire ?
Monnier, L., & Colette, C. (2012) · Médecine des Maladies Métaboliques · doi:10.1016/s1957-2557(12)70448-0 · Cited by 2
Chauhan, Y. V., Gada, J. V., Misra, S., Dhole, C., Palekar, A. V., Varthakavi, P. K., & Bhagwat, N. M. (2024) · Cureus · doi:10.7759/cureus.59504 · Cited by 2
“This pattern of IR is reversed in T2D, with glucose levels demonstrating a night-to-morning elevation increasing in the early hours of the morning and a reduction in IR during the waking day [13,14].”
BackgroundThe Liver, Glucose Homeostasis, and Insulin Action in Type 2 Diabetes Mellitus
Radziuk, J., & Pye, S. (2008) · Humana Press eBooks · doi:10.1007/978-1-60327-116-5_18 · Cited by 2
Monnier, L., Azrak, A. E., Rochd, D., Colette, C., & Bonnet, F. (2015) · Médecine des Maladies Métaboliques · doi:10.1016/s1957-2557(15)30223-6 · Cited by 3
Using Continuous Glucose Monitoring for Patients with Fasting Hyperglycemia
Zhou, J. (2018) · Springer eBooks · doi:10.1007/978-981-10-7074-7_14 · Cited by 2
Exploring the Link between Evening Chronotypes and T2DM among South Indians: A Cross-Sectional Study
Siddaraju, M. B., Shriya, A. S. K., Murugesh, S. R., Reddy, V., Gopi, A., & Fathima, N. (2026) · Current Diabetes Reviews · doi:10.2174/0115733998406914251104020940 · Cited by 1
Colette, C., & Monnier, L. (2012) · Médecine des Maladies Métaboliques · doi:10.1016/s1957-2557(12)70355-3 · Cited by 1
Kim, J. H. (2020) · Journal of Korean Diabetes · doi:10.4093/jkd.2020.21.2.59 · Cited by 1
The impact of dusk phenomenon on total glucose exposure in Chinese people with type 2 diabetes
Huang, Y., Xu, Y., Qiu, J., Jiang, C., Tan, W. T., Tao, X., Gu, Q., & Sun, J. (2021) · Medicine · doi:10.1097/md.0000000000025298 · Cited by 1
“In addition, there is a circadian rhythm in human insulin secretion and insulin sensitivity,([24,25]) and the circadian rhythm of insulin secretion may be one of the causes of the dusk phenomenon.”
BackgroundClasser les diabètes qui surviennent chez l’adulte : plus on y pense, plus c’est confus
Monnier, L., & Colette, C. (2021) · Médecine des Maladies Métaboliques · doi:10.1016/j.mmm.2021.09.008 · Cited by 4
Hypothalamic neural networks in control of glucose homeostasis
Yi, C. (2010) · UvA-DARE (University of Amsterdam) · Cited by 1
Continuous glucose monitoring in sleep and circadian research
Seward, S. L., Blankenship, J. M., & Broussard, J. L. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-822963-7.00274-7 · Cited by 1
Sleep, exercise, and insulin sensitivity
Porter, J. W. (2020) · MOspace Institutional Repository (University of Missouri) · doi:10.32469/10355/78088 · Cited by 1
Monnier, L., Colette, C., & Owens, D. R. (2022) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2022.0286 · Cited by 1
“Secondly, 1% of HbA1c (11 mmol/mol) is the absolute impact of postprandial glucose excursions across the increasing HbA1c spectrum beyond 7% (53 mmol/mol) and this absolute contribution”
Vilarino, L. B., & Frayling, T. M. (2015) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-015-0475-0
“ing higher during the day [17], and this cycle seems to be regulated by melatonin through the receptor encoded by MTNR1B, expressed in beta cells [18].”
BackgroundThe Dawn Phenomenon: Variability in Occurrence May Cause Need for Change in Treatment Strategy
Zimmerman, R. S. (2014) · Endocrine Practice · doi:10.4158/ep14364.co
Hormone replacement therapy, cardiovascular risk and diabetes
McKenzie, J., & Fisher, M. (2007) · Practical Diabetes · doi:10.1002/pdi.1082
Diurnal Variation in the Occurrence of Stroke and its Relation with Diabetes Mellitus
Hoque, M. A., Islam, S., Islam, M. S., et al. (1970) · Journal of Medicine · doi:10.3329/jom.v9i2.1434
Effect of losartan on insulin sensitivity and serum lipids in hypertensive type 2 diabetic patients
Mulcahy, M. P., Ahmed, K., Luzio, S. D., et al. (2002) · The British Journal of Diabetes · doi:10.1177/14746514020020010901
Lucidi, P., Marzotti, S., Andreoli, A. M., et al. (2011)
Genome-Wide Association Studies of Glycaemic Traits: A MAGICal Journey
Florez, J. C., & Barroso, I. (2014) · Frontiers in diabetes · doi:10.1159/000362466
Bowen, M. J. (2015) · University Library - University of Saskatchewan (University of Saskatchewan)
Genome-Wide Association Studies of Quantitative Glycaemic Traits
Barroso, I., & Scott, R. A. (2016) · Springer eBooks · doi:10.1007/978-3-319-01574-3_3 · Cited by 1
Diabète de type2: insulinothérapie basale, « flat insulin for flat sugar »
Monnier, L., & Colette, C. (2017) · doi:10.1016/b978-2-294-74646-8.00012-2
Monnier, L., Colette, C., Azrak, A. E., & Rochd, D. (2017) · doi:10.1016/b978-2-294-74646-8.00041-9
Chapitre 15 – Diabète de type 2 : forte insulinorésistance
Monnier, L., RABASA-LHORET, R. P. R., & Colette, C. (2017)
Metadata
- Authors
- Boden, G., Chen, X., & Urbain, J. L.
- Affiliations
- Divisions of Endocrinology, Diabetes and Metabolism and Nuclear Medicine Philadelphia, Pennsylvania
- Temple University (US)
- Corresponding author
- Boden, Guenther
- ORCID
- Chen, Xinhua
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 1996-08-01
- Volume
- 45
- Issue
- 8
- Pages
- 1044-1050
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- OpenAlex
- W2138487775
- Cited by
- 228
- References
- 0
- Citations by year
- 2026: 6 · 2025: 3 · 2024: 4 · 2023: 7 · 2022: 8 · 2021: 8 · 2020: 15 · 2019: 4 · 2018: 9 · 2017: 12 · 2016: 10 · 2015: 15 · 2014: 18 · 2013: 10 · 2012: 7
- FWCI
- 4.29
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Diabetes (publishedVersion)
- PubMed (publishedVersion)
- Funders
- American Diabetes Association
- National Institutes of Health (5r01ag007988-10, 5r01aa010221-03)
- National Institute on Alcohol Abuse and Alcoholism (R01-AA-10221)
- National Institute on Aging (R01-AG07988)
- National Center for Research Resources (RR-349)
- NIH Clinical Center
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Pancreatic function and diabetes
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- insulin sensitivity, circadian rhythm, type 2 diabetes, hepatic glucose production, glucose infusion rate, glucose disappearance rate, free fatty acids, cortisol, insulin secretion, insulin clearance
- MeSH terms
- Alanine, Circadian Rhythm, Diabetes Mellitus, Type 2, Fatty Acids, Nonesterified, Female, Glucagon, Glucose, Humans, Hydrocortisone, Insulin, Lactates, Liver, Male, Middle Aged, Sleep, Growth Hormone
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