Obesity is one of the primary causes of type 2 diabetes mellitus (T2DM). To better understand how obesity impairs glucose-insulin homeostasis, we tracked fasting blood glucose and insulin levels and the key components of glucose-insulin homeostasis for 7 months in high fat diet (HFD; 45% fat) fed mice (n = 8). Every 2 weeks we measured body weight, fasting blood glucose and insulin levels, and estimated 5 key rate constants of glucose-insulin homeostasis using the methods established previously (Heliyon 3: e00310, 2017). Mice gained weight steadily, more than doubling their weights after 7 months (23.6 ± 0.5 to 52.3 ± 1.4 g). Fasting (basal) insulin levels were elevated (221.3 ± 16.7 to 1043.1 ± 90.5 pmol l) but fasting blood glucose levels unexpectedly returned to the baseline levels (152.8 ± 7.0 to 152.0 ± 7.2 mg/dl) despite significantly elevated levels (216.8 ± 44.9 mg/dl, average of 3 highest values for 8 mice) during the experimental period. After 7 months of HFD feeding, the rate constants for insulin secretion (k), insulin-independent glucose uptake (k), and insulin concentration where liver switches from glucose uptake to release (I) were significantly elevated. Insulin-dependent glucose uptake (k) and rate constant of liver glucose transfer (k) were lowered but no statistical significance was reached. The novel and key finding of this study is the wide range of fluctuations of the rate constants during the course of obesity, reflecting the body's compensatory responses against metabolic alterations caused by obesity.
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http://dx.doi.org/10.1016/j.heliyon.2020.e03251 | DOI Listing |
Nutr Metab (Lond)
December 2024
College of Physical Education and Health Sciences, Zhejiang Normal University, 688 Yingbin Road, Jinhua, 321004, Zhejiang Province, China.
Objective: Impaired skeletal muscle glycogen synthesis contributes to insulin resistance (IR). Aerobic exercise reported to ameliorate IR by augmenting insulin signaling, however the detailed mechanism behind this improvement remains unclear. This study investigated whether aerobic exercise enhances glycogen anabolism and insulin sensitivity via EGR-1/PTP1B signaling pathway in skeletal muscle of rats.
View Article and Find Full Text PDFNutr Metab (Lond)
December 2024
Department of Community Nutrition, School of Nutrition and Food Science, Nutrition and Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Background: Many studies have explored the association between food intake and metabolic health. However, research on the association of consuming ultra-processed foods (UPFs) and metabolic health in children and adolescents remains unclear. The objective of our study was to investigate the relation between UPFs consumption and metabolic health status in Iranian adolescents with overweight/obesity.
View Article and Find Full Text PDFJ Clin Endocrinol Metab
December 2024
Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Aims/hypothesis: This is the first study to examine the association between variants of the glucagon-like-peptide-1 receptor gene (GLP-1R) and metabolic characteristics among youth. We explored separate associations of three GLP-1R polymorphisms (rs10305420, rs6923761, and rs1042044) with BMI trajectories and markers of glucose-insulin homeostasis.
Methods: Mixed models examined associations between GLP-1R polymorphisms and trajectories of BMI.
J Endocrinol Invest
December 2024
Department of Medical, Movement and Wellbeing Sciences, Parthenope University of Naples, Naples, Italy.
Curr Dev Nutr
November 2024
Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, United States.
Background: Dietary quality has been linked to better glycemic control, but the precise molecular mechanisms giving rise to these associations are not fully understood.
Objectives: To examine the association of metabolites associated with the intake of a healthy diet with measures of insulin/glucose homeostasis.
Methods: Using cross-sectional data from 295 United States adults, the associations between 3 diet pattern scores and metabolome-wide metabolites were estimated via linear regression models, which controlled for demographic factors and health behaviors.
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