scholarly journals Thyroid hormones and the potential for regulating glucose metabolism in cardiomyocytes during insulin resistance and T2DM

2021 ◽  
Vol 9 (16) ◽  
Author(s):  
Dora A. Mendez ◽  
Rudy M. Ortiz
Keyword(s):  
Insulin Resistance ◽  
Glucose Metabolism ◽  
Thyroid Hormones

scholarly journals Why Can Insulin Resistance Be a Natural Consequence of Thyroid Dysfunction?

2011 ◽  
Vol 2011 ◽  
pp. 1-9 ◽  
Author(s):  
Gabriela Brenta
Keyword(s):  
Insulin Resistance ◽  
Insulin Sensitivity ◽  
Thyroid Hormone ◽  
Glucose Metabolism ◽  
Thyroid Hormones ◽  
Thyroid Dysfunction ◽  
Natural Consequence ◽  
Apparent Paradox ◽  
Peripheral Tissues ◽  
Differential Effects

Evidence for a relationship between T4 and T3 and glucose metabolism appeared over 100 years ago when the influence of thyroid hormone excess in the deterioration of glucose metabolism was first noticed. Since then, it has been known that hyperthyroidism is associated with insulin resistance. More recently, hypothyroidism has also been linked to decreased insulin sensitivity. The explanation to this apparent paradox may lie in the differential effects of thyroid hormones at the liver and peripheral tissues level. The purpose of this paper is to explore the effects of thyroid hormones in glucose metabolism and analyze the mechanisms whereby alterations of thyroid hormones lead to insulin resistance.

scholarly journals Incretin levels in patients with hypothyroidism and the evaluation of incretin levels alterations with treatment

2019 ◽  
Vol 13 (1) ◽  
pp. 3-9
Author(s):  
Serkan Alemdar ◽  
Nusret Yilmaz ◽  
Sebahat Ozdem ◽  
Ramazan Sari
Keyword(s):  
Insulin Resistance ◽  
Insulin Secretion ◽  
Glucose Metabolism ◽  
Thyroid Hormones ◽  
Gastric Inhibitory Polypeptide ◽  
Tolerance Test ◽  
Control Group ◽  
Oral Glucose ◽  
Incretin Hormones ◽  
Euthyroid State

Abstract Background Incretin hormones may influence the effects of thyroid hormones on insulin secretion, insulin resistance, and glucose metabolism. Thyroid hormones regulate insulin secretion, and the risk of diabetes was found to be associated with thyroid hormones. Objectives To determine whether incretin hormones influence the effects of thyroid hormones on insulin resistance and glucose metabolism. Methods A total of 26 patients were included in 2 groups consisting of 13 patients with hypothyroidism and 13 healthy controls. Levels of glucose, insulin, glucagon-like peptide 1 (GLP-1), and gastric inhibitory polypeptide (GIP) levels were measured in 0, 30, 60, 90, and 120th min during the oral glucose tolerance test in the control group and before and after thyroxine treatment in the hypothyroid group. Results In the hypothyroid group, waist circumference decreased after the euthyroid state was achieved (P = 0.026). No statistically significant differences were detected in the GLP-1 and GIP levels at baseline and 30, 60, 90, and 120 min between the hypothyroidism and control groups or after ensuring the euthyroid state in patients with hypothyroidism. Peak GLP-1 levels were observed at 30 min in the control group, whereas peak GLP-1 and GIP levels were detected at 90 min in the hypothyroidism group. After achieving the euthyroid state, peak GLP-1 and GIP levels were detected at 30 min as well. Conclusion In patients with hypothyroidism, the incretin hormones, especially the peak response of the incretin system, are significantly affected. Significant changes were observed in the incretin system by correcting hypothyroidism.

The Effect of FGF-21 on Glucose Metabolism in The Resistin-induced Insulin Resistance Liver Cells

2013 ◽  
Vol 40 (6) ◽  
pp. 524
Author(s):  
Miao LIU ◽  
Wen-Fei WANG ◽  
Ming-Yao LIU ◽  
Jing-Zhuang ZHAO ◽  
Yin BAI ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Glucose Metabolism ◽  
Liver Cells

scholarly journals Brain Glucose Metabolism in Health, Obesity, and Cognitive Decline—Does Insulin Have Anything to Do with It? A Narrative Review

2021 ◽  
Vol 10 (7) ◽  
pp. 1532
Author(s):  
Eleni Rebelos ◽  
Juha O. Rinne ◽  
Pirjo Nuutila ◽  
Laura L. Ekblad
Keyword(s):  
Insulin Resistance ◽  
Glucose Metabolism ◽  
Cognitive Decline ◽  
Fdg Pet ◽  
Metabolic Disorders ◽  
Brain Glucose ◽  
Brain Glucose Metabolism ◽  
Systemic Insulin Resistance ◽  
Increased Risk ◽  
18F Fdg

Imaging brain glucose metabolism with fluorine-labelled fluorodeoxyglucose ([18F]-FDG) positron emission tomography (PET) has long been utilized to aid the diagnosis of memory disorders, in particular in differentiating Alzheimer’s disease (AD) from other neurological conditions causing cognitive decline. The interest for studying brain glucose metabolism in the context of metabolic disorders has arisen more recently. Obesity and type 2 diabetes—two diseases characterized by systemic insulin resistance—are associated with an increased risk for AD. Along with the well-defined patterns of fasting [18F]-FDG-PET changes that occur in AD, recent evidence has shown alterations in fasting and insulin-stimulated brain glucose metabolism also in obesity and systemic insulin resistance. Thus, it is important to clarify whether changes in brain glucose metabolism are just an epiphenomenon of the pathophysiology of the metabolic and neurologic disorders, or a crucial determinant of their pathophysiologic cascade. In this review, we discuss the current knowledge regarding alterations in brain glucose metabolism, studied with [18F]-FDG-PET from metabolic disorders to AD, with a special focus on how manipulation of insulin levels affects brain glucose metabolism in health and in systemic insulin resistance. A better understanding of alterations in brain glucose metabolism in health, obesity, and neurodegeneration, and the relationships between insulin resistance and central nervous system glucose metabolism may be an important step for the battle against metabolic and cognitive disorders.

Impact of Glucose Metabolism Disorders on IGF-1 Levels in Patients with Acromegaly

2018 ◽  
Vol 50 (05) ◽  
pp. 408-413 ◽  
Author(s):  
Sema Dogansen ◽  
Gulsah Yalin ◽  
Seher Tanrikulu ◽  
Sema Yarman
Keyword(s):  
Diabetes Mellitus ◽  
Insulin Resistance ◽  
Glucose Metabolism ◽  
Glucose Tolerance ◽  
Normal Glucose Tolerance ◽  
Glucose Metabolism Disorders ◽  
Insulin Resistant ◽  
Normal Glucose ◽  
Resistant Group ◽  
The Impact

AbstractIn this study, we aimed to evaluate the presence of glucose metabolism abnormalities and their impact on IGF-1 levels in patients with acromegaly. Ninety-three patients with acromegaly (n=93; 52 males/41 females) were included in this study. Patients were separated into three groups such as; normal glucose tolerance (n=23, 25%), prediabetes (n=38, 41%), and diabetes mellitus (n=32, 34%). Insulin resistance was calculated with homeostasis model assessment (HOMA). HOMA-IR > 2.5 or ≤2.5 were defined as insulin resistant or noninsulin resistant groups, respectively. Groups were compared in terms of factors that may be associated with glucose metabolism abnormalities. IGF-1% ULN (upper limit of normal)/GH ratios were used to evaluate the impact of glucose metabolism abnormalities on IGF-1 levels. Patients with diabetes mellitus were significantly older with an increased frequency of hypertension (p<0.001, p=0.01, respectively). IGF-1% ULN/GH ratio was significantly lower in prediabetes group than in normal glucose tolerance group (p=0.04). Similarly IGF-1% ULN/GH ratio was significantly lower in insulin resistant group than in noninsulin resistant group (p=0.04). Baseline and suppressed GH levels were significantly higher in insulin resistant group than in noninsulin resistant group (p=0.024, p<0.001, respectively). IGF-1% ULN/GH ratio is a useful marker indicating glucose metabolism disorders and IGF-1 levels might be inappropriately lower in acromegalic patients with insulin resistance or prediabetes. We suggest that IGF-1 levels should be re-evaluated after the improvement of insulin resistance or glycemic regulation for the successful management of patients with acromegaly.

scholarly journals Beneficial Effect of Pistachio Consumption on Glucose Metabolism, Insulin Resistance, Inflammation, and Related Metabolic Risk Markers: A Randomized Clinical Trial

Diabetes Care ◽  
2014 ◽  
Vol 37 (11) ◽  
pp. 3098-3105 ◽  
Author(s):  
Pablo Hernández-Alonso ◽  
Jordi Salas-Salvadó ◽  
Mònica Baldrich-Mora ◽  
Martí Juanola-Falgarona ◽  
Mònica Bulló
Keyword(s):  
Insulin Resistance ◽  
Clinical Trial ◽  
Glucose Metabolism ◽  
Beneficial Effect ◽  
Randomized Clinical Trial ◽  
Metabolic Risk ◽  
Risk Markers

scholarly journals Impact of disease activity on impaired glucose metabolism in patients with rheumatoid arthritis

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Gorica G. Ristić ◽  
Vesna Subota ◽  
Dejana Stanisavljević ◽  
Danilo Vojvodić ◽  
Arsen D. Ristić ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Risk Factors ◽  
Insulin Resistance ◽  
Glucose Metabolism ◽  
Disease Activity ◽  
Impaired Glucose Metabolism ◽  
Inflammation Markers ◽  
C Peptide ◽  
Related Risk ◽  
The Impact

Abstract Objective To explore glucose metabolism in rheumatoid arthritis (RA) and its association with insulin resistance (IR) risk factors and disease activity indicators, including matrix metalloproteinase-3 (MMP3). Methods This single-center study included 127 non-diabetic subjects: 90 RA patients and 37 matched controls. IR-related risk factors, disease activity (DAS28-ESR/CRP), concentrations of inflammation markers, MMP3, glucose, specific insulin, and C-peptide (a marker of β-cell secretion) were determined. Homeostasis Model Assessment was used to establish insulin resistance (HOMA2-IR) and sensitivity (HOMA2-%S). Associations of HOMA2 indices with IR-related risk factors, inflammation markers, and RA activity were tested using multiple regression analyses. Results RA patients had significantly increased HOMA2-IR index than controls. In the RA group, multivariate analysis revealed DAS28-ESR, DAS28-CRP, tender joint counts, patient’s global assessment, and MMP3 level as significant positive predictors for HOMA2-IR (β = 0.206, P = 0.014; β = 0.192, P = 0.009; β = 0.121, P = 0.005; β = 0.148, P = 0.007; β = 0.075, P = 0.025, respectively), and reciprocal negative for HOMA2-%S index. According to the value of the coefficient of determination (R2), DAS28-ESR ≥ 5.1 has the largest proportion of variation in both HOMA2-IR indices. DAS28-ESR ≥ 5.1 and ESR were independent predictors for increased C-peptide concentration (β = 0.090, P = 0.022; β = 0.133, P = 0.022). Despite comparability regarding all IR-related risk factors, patients with DAS28-ESR ≥ 5.1 had higher HOMA2-IR than controls [1.7 (1.2–2.5) vs. 1.2 (0.8–1.4), P = 0.000]. There was no difference between patients with DAS28-ESR < 5.1 and controls [1.3 (0.9–1.9) vs. 1.2 (0.8–1.4), P = 0.375]. Conclusions RA activity is an independent risk factor for impaired glucose metabolism. DAS28-ESR ≥ 5.1 was the main contributor to this metabolic disturbance, followed by MMP3 concentration, outweighing the impact of classic IR-related risk factors.

Association between sleep disordered breathing in early pregnancy and glucose metabolism

SLEEP ◽  
2022 ◽  
Author(s):  
Laura Sanapo ◽  
Margaret H Bublitz ◽  
Alice Bai ◽  
Niharika Mehta ◽  
Geralyn M Messerlian ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Glucose Metabolism ◽  
Early Pregnancy ◽  
Airway Pressure ◽  
Sleep Disordered Breathing ◽  
Positive Airway Pressure ◽  
Obstructive Sleep ◽  
Respiratory Event

Abstract Study Objectives To examine the association between maternal sleep disordered breathing (SDB) and glucose metabolism in early gestation. Methods Women with body mass index (BMI) ≥27 kg/m2 and singleton pregnancies underwent in-home sleep study (HSAT) and homeostatic model assessment (HOMA) in early pregnancy. Insulin resistance (HOMA-IR) and β-cell function (HOMA %B) were derived. Exclusion criteria included pregestational diabetes, use of continuous positive airway pressure and chronic steroid therapy. We performed linear regression analyses to evaluate the association between continuous measures of SDB (respiratory event index (REI), and oxygen desaturation index (ODI)) and glucose metabolism parameters (HOMA-IR and HOMA %B). Analyses were adjusted for a set of a priori selected variables which included gestational age, maternal age, BMI, ethnicity, race, and parity. Results One hundred and ninety-two pregnant women with median (interquartile range) BMI of 35.14 (8.30) kg/m2 underwent HSAT and HOMA assessment at 11.14 (3) and 15.35 (4.14) gestational weeks, respectively. REI and ODI, as continuous values, were associated with HOMA-IR after adjusting for covariates. OSA (obstructive sleep apnea) diagnosis (REI &gt; 5 events per hour) was not associated with HOMA-IR after adjusting for BMI (p ≥ 0.05). None of the parameters were associated with HOMA %B (p &gt; 0.07). Conclusions SDB and insulin resistance are associated in early pregnancy, with a dose response association between respiratory event index severity and insulin resistance. Further studies are needed to establish if pregnant women with overweight and obesity may benefit from early SDB screening to improve glucose metabolic outcome. Clinical trials: NCT02412696, Positive Airway Pressure, Sleep Apnea, and the Placenta (PAP-SAP) https://clinicaltrials.gov/ct2/show/NCT02412696?term=Bourjeily&draw=2&rank=2 and NCT02917876, Predictors of De-novo Development of Obstructive Sleep Apnea in Pregnancy (Predictors) https://clinicaltrials.gov/ct2/show/NCT02917876?term=Bourjeily&draw=2&rank=1

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