Catabolic and Anabolic Faces of Insulin Resistance and their Disorders: A New Insight into Circadian Control of Metabolic Disorders Leading to Diabetes

Schwartsburd, Polina

doi:10.4155/fsoa-2017-0015

Cited by 19 publications

(14 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Because of similar exercise induced drops in insulin levels in all groups, changes in body composition could be considered as another factor taking part in different exercise induced adaptations between athletic and obesity phenotypes. These results suggest that individuals with obesity phenotype are more susceptible to insulin resistance, what has been confirmed in obese individuals (28).…”

Section: Discussionsupporting

confidence: 65%

Hormonal and metabolic substrate status in response to exercise in men of different phenotype

Chycki

Zając

Michalczyk

et al. 2019

Endocrine Connections

View full text Add to dashboard Cite

Objectives The present study verified the effect of moderate-to-high-intensity aerobic exercise on the endocrine response profile and adipose tissue in young healthy men with different phenotype characteristics. Design Eighteen men were divided into three experimental groups with defined body components and specific physical fitness: Endurance phenotype – EP (n = 6; low body mass; low fat content; aerobic endurance trained), Athletic phenotype – AP (n = 6; high body mass; low fat content, resistance trained), Obesity phenotype – OP (n = 6; high body mass; high fat content, untrained). Methods The participants performed an progressive exercise protocol on a treadmill (30% VO2max, 50% VO2max, 70% VO2max), separated by 45 s of passive rest for blood collection. Results Plasma glucose oxidation increased in relation to exercise intensity, but to a greater extent in the AP group. The free fatty acids’ plasma level decreased with a rise in exercise intensity, but with different kinetics in particular phenotypes. Plasma growth hormone increased after the cessation of exercise and was significantly higher in all groups 45 min into recovery compared to resting values. Plasma insulin decreased during exercise in all groups, but in the OP, the decrease was blunted. Conclusions The results indicate that the rate of lipolysis, hormonal and metabolic response to aerobic exercise depends on the individuals’ phenotype. Thus, exercise type, duration and intensity have to be strictly individualized in relation to phenotype in order to reach optimal metabolic benefits.

show abstract

Section: Discussionsupporting

confidence: 65%

Hormonal and metabolic substrate status in response to exercise in men of different phenotype

Chycki

Zając

Michalczyk

et al. 2019

Endocrine Connections

View full text Add to dashboard Cite

show abstract

“…In addition, studies have shown that high temperature contact can affect insulin hemodynamics, resulting in insulin resistance in the body [29][30].Harmony between biological rhythm and natural rhythm is the basis of normal physiological activities. Irregular shift work will affect the biological rhythm of human body due to irregular circadian rhythm, resulting in the disturbance of nutrients and related hormones in the body, thus resulting in glucose and lipid metabolism disorder and energy imbalance [31].On the other hand, the workers of night shift work lack of sleep time, and the incidence of unhealthy lifestyle such as smoking, drinking and irregular diet increases greatly, which are the driving forces for the occurrence of metabolic syndrome [32].In this study, UA and ALT were found to be risk factors for MetS, and related studies showed that UA increased the risk of MetS by increasing insulin resistance, and increased ALT in the blood might cause fat accumulation in the liver. Through investigation, Mandana Khalili et al found that patients with MetS had higher hepatic steatosis level, and there was a correlation between the elevation of ALT and MetS [33][34].…”

Section: Discussionmentioning

confidence: 99%

Development and internal validation of risk prediction model of metabolic syndrome in oil workers

Wang

et al. 2020

Preprint

View full text Add to dashboard Cite

Abstract Background.The prevalence of metabolic syndrome continues to rise sharply worldwide, seriously threatening people's health. The optimal model can be used to identify people at high risk of metabolic syndrome as early as possible, to predict their risk, and to persuade them to change their adverse lifestyle so as to slow down and reduce the incidence of metabolic syndrome.Objective.To develop and internally verify three risk prediction models for the metabolic syndrome of petroleum workers, compare the prediction performance of the three models, and find the optimal model.Methods. Design existing circumstances research. A total of 1,468 workers from an oil company who participated in occupational health physical examination from April 2017 to October 2018 were included in this study. We established the Logistic regression model, the random forest model and the convolutional neural network model, and compared the prediction performance of the models according to the F1 score, sensitivity, accuracy and other indicators of the three models.Results.The results showed that the accuracy of the three models in the training set was 83.45%, 94.21% and 86.34%, the sensitivity was 78.47%, 94.62% and 81.30%, the F1 score was 0.79, 0.93 and 0.83, the area under the ROC curve was 0.894, 0.987 and 0.935, and the Integrated Calibration Index was 0.074, 0.071 and 0.078, respectively. In the test set, the accuracy was 76.72%, 80.66% and 78.69%, the sensitivity was 70.00%, 77.50% and 68.33%, the F1 score was 0.70, 0.76 and 0.71, the area under the ROC curve was 0.797, 0.861 and 0.855, and the Integrated Calibration Index was 0.064, 0.051 and 0.096, respectively.Conclusions.The study showed that the prediction performance of random forest model is better than other models, and the model has higher application value, which can better predict the risk of metabolic syndrome in oil workers, and provide corresponding theoretical basis for the health management of oil workers.

show abstract

“…As an important addendum to the many health consequences of abnormalities of the integrated circadian rhythms, one must just mention disorders in glucose and lipid metabolism as inducers of obesity and the development of Type 2 diabetes [ 53 ] and the multifaceted effects of the circadian control of the immune system and its activation [ 6 , 24 ]. These findings highlight an integrative role of circadian rhythms in physiology [ 7 ].…”

Section: Biological Clocks and Allergic Diseasesmentioning

confidence: 99%

Biological clocks: their relevance to immune-allergic diseases

2018

View full text Add to dashboard Cite

The 2017 Nobel Prize for Physiology or Medicine, awarded for the discoveries made in the past 15 years on the genetic and molecular mechanisms regulating many physiological functions, has renewed the attention to the importance of circadian rhythms. These originate from a central pacemaker in the suprachiasmatic nucleus in the brain, photoentrained via direct connection with melanopsin containing, intrinsically light-sensitive retinal ganglion cells, and it projects to periphery, thus creating an inner circadian rhythm. This regulates several activities, including sleep, feeding times, energy metabolism, endocrine and immune functions. Disturbances of these rhythms, mainly of wake/sleep, hormonal secretion and feeding, cause decrease in quality of life, as well as being involved in development of obesity, metabolic syndrome and neuropsychiatric disorders. Most immunological functions, from leukocyte numbers, activity and cytokine secretion undergo circadian variations, which might affect susceptibility to infections. The intensity of symptoms and disease severity show a 24 h pattern in many immunological and allergic diseases, including rheumatoid arthritis, bronchial asthma, atopic eczema and chronic urticaria. This is accompanied by altered sleep duration and quality, a major determinant of quality of life. Shift work and travel through time zones as well as artificial light pose new health threats by disrupting the circadian rhythms. Finally, the field of chronopharmacology uses these concepts for delivering drugs in synchrony with biological rhythms.

show abstract

Catabolic and Anabolic Faces of Insulin Resistance and their Disorders: A New Insight into Circadian Control of Metabolic Disorders Leading to Diabetes

Cited by 19 publications

References 55 publications

Hormonal and metabolic substrate status in response to exercise in men of different phenotype

Hormonal and metabolic substrate status in response to exercise in men of different phenotype

Development and internal validation of risk prediction model of metabolic syndrome in oil workers

Biological clocks: their relevance to immune-allergic diseases

Contact Info

Product

Resources

About