scholarly journals Relationship Between Serum Testosterone, Leptin,Interleukin-6 (il-6) Level and Insulin Sensitivity in Non-obese and Obese Male Subjects in Magway Region, Myanmar

2021 ◽  
Vol 2 (2) ◽  
pp. 9
Author(s):  
Mya Thanda Sein ◽  
Zarchi Theint-Theint Hlaing ◽  
Thurein - Zaw ◽  
Yin Thu Theint ◽  
Soe Minn Htway
Keyword(s):  
Insulin Sensitivity ◽  
Serum Insulin ◽  
Serum Testosterone ◽  
Obese Group ◽  
Serum Testosterone Level ◽  
Model Assessment ◽  
Serum Leptin ◽  
Homeostatic Model Assessment ◽  
The Relationship ◽  
Male Subjects

Objective: To determine the relationship between insulin resistance and related variables (serum testosterone, interleukin (IL-6) and leptin level) in obese and non-obese healthy subjects. Methods: Community-based crosssectional, analytic study was undertaken in 60 subjects for each obese group (BMI ≥ 30.0 kg/m2) and non-obese group (BMI 18.5 to 24.9 kg/m2) (age;18-45 years) residing in Magway Township from December 2016 to December 2017. Serum insulin, testosterone, IL-6 and leptin levels were measured by enzyme linked immunoassay, and serum fasting glucose was measured by glucose oxidase method. Insulin sensitivity was calculated by HOMA formula (Homeostatic Model Assessment). Results:HOMA-IR, serum leptin and IL-6 level were significantly higher in obese group while serum testosterone level was significantly lower in obese group. There was a significantly correlation between HOMA-IR with leptin (r=0.306, p=0.001), IL-6 (r=0.237, p=0.009) and testosterone (r=-0.209,p=0.02). Moreover, serum leptin was significantly and positively correlated with IL-6 (r=0.391, p<0.001) while serum testosterone was significantly and negatively correlated with leptin (r=-0.408, p<0.001), and IL-6 (r=-0.34, p<0.001).Conclusions:Obese men are more likely to have low testosterone, high inflammatory markers leptin and Il-6, which were associated with decreased insulin sensitivity. 

scholarly journals The Relationship between Insulin Resistance and the Cardiovascular Biomarker Growth Differentiation Factor-15 in Obese Patients

2011 ◽  
Vol 57 (2) ◽  
pp. 309-316 ◽  
Author(s):  
Greisa Vila ◽  
Michaela Riedl ◽  
Christian Anderwald ◽  
Michael Resl ◽  
Ammon Handisurya ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Gastric Bypass ◽  
Insulin Sensitivity ◽  
Oral Glucose ◽  
Model Assessment ◽  
Obese Patients ◽  
Growth Differentiation Factor 15 ◽  
Homeostatic Model Assessment ◽  
Homeostatic Model ◽  
The Relationship

BACKGROUND Growth differentiation factor-15 (GDF-15) is a stress-responsive cytokine linked to obesity comorbidities such as cardiovascular disease, inflammation, and cancer. GDF-15 also has adipokine properties and recently emerged as a prognostic biomarker for cardiovascular events. METHODS We evaluated the relationship of plasma GDF-15 concentrations with parameters of obesity, inflammation, and glucose and lipid metabolism in a cohort of 118 morbidly obese patients [mean (SD) age 37.2 (12) years, 89 females, 29 males] and 30 age- and sex-matched healthy lean individuals. All study participants underwent a 75-g oral glucose tolerance test; 28 patients were studied before and 1 year after Roux-en-Y gastric bypass surgery. RESULTS Obese individuals displayed increased plasma GDF-15 concentrations (P &lt; 0.001), with highest concentrations observed in patients with type 2 diabetes. GDF-15 was positively correlated with age, waist-to-height ratio, mean arterial blood pressure, triglycerides, creatinine, glucose, insulin, C-peptide, hemoglobin A1c, and homeostatic model assessment insulin resistance index and negatively correlated with oral glucose insulin sensitivity. Age, homeostatic model assessment index, oral glucose insulin sensitivity, and creatinine were independent predictors of GDF-15 concentrations. Roux-en-Y gastric bypass led to a significant reduction in weight, leptin, insulin, and insulin resistance, but further increased GDF-15 concentrations (P &lt; 0.001). CONCLUSIONS The associations between circulating GDF-15 concentrations and age, insulin resistance, and creatinine might account for the additional cardiovascular predictive information of GDF-15 compared to traditional risk factors. Nevertheless, GDF-15 changes following bariatric surgery suggest an indirect relationship between GDF-15 and insulin resistance. The clinical utility of GDF-15 as a biomarker might be limited until the pathways directly controlling GDF-15 concentrations are better understood.

scholarly journals Analysis of the relationship between fasting serum leptin levels and estimates of beta-cell function and insulin sensitivity in a population sample of 380 healthy young Caucasians

1999 ◽  
pp. 180-185 ◽  
Author(s):  
SM Echwald ◽  
JO Clausen ◽  
T Hansen ◽  
SA Urhammer ◽  
L Hansen ◽  
...  
Keyword(s):  
Insulin Sensitivity ◽  
Beta Cell Function ◽  
Cell Function ◽  
Serum Insulin ◽  
Population Based ◽  
Sensitivity Index ◽  
Insulin Sensitivity Index ◽  
Fasting Serum ◽  
Serum Leptin ◽  
The Relationship

OBJECTIVE: Circulating leptin levels correlate positively with the degree of obesity and prolonged hyperinsulinaemia increases serum leptin levels. Moreover, insulin secreting beta-cells express functional leptin receptors indicating a functional relationship between leptin and insulin. The aim of this study was to examine the relationship between fasting serum leptin levels and measures of insulin sensitivity and beta-cell function in a population-based sample of 380 young healthy Caucasians. DESIGN AND METHODS: Multiple regression analysis was employed to analyse the relationship between fasting serum leptin levels and levels of fasting serum insulin, insulin sensitivity index and acute insulin response (AIR) in a population-based study of 380 young healthy Caucasians who underwent a combined intravenous glucose and tolbutamide tolerance test. RESULTS AND CONCLUSION: Serum leptin levels were positively correlated to measures of adiposity and were 3.2 times higher in women than in men (P<0.00001). In multiple regression analyses adjusting for age, percentage body fat, waist circumference and maximal aerobic capacity, a significant positive correlation was observed between the fasting serum leptin concentrations and both fasting serum insulin levels (P<0.0001) and AIR (P = 0.014) for women. No significant interrelation of these variables was found in men. However, for both genders a significant negative correlation was observed between fasting serum leptin levels and measures of insulin sensitivity index (P = 0.007).

scholarly journals Dietary Protein Intake during Pregnancy Is Not Associated with Offspring Insulin Sensitivity during the First Two Years of Life

Nutrients ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1338
Author(s):  
Brittany R. Allman ◽  
D. Keith Williams ◽  
Elisabet Børsheim ◽  
Aline Andres
Keyword(s):  
Insulin Resistance ◽  
Insulin Sensitivity ◽  
Dietary Protein ◽  
Protein Intake ◽  
Late Pregnancy ◽  
Model Assessment ◽  
Dietary Protein Intake ◽  
Fat Percentage ◽  
Homeostatic Model Assessment ◽  
The Relationship

Literature describing a relationship between dietary protein intake during pregnancy and offspring insulin resistance are equivocal perhaps because of the lapse between maternal and offspring measurements (~9–40 years). Thus, we evaluated protein intake in healthy women [n = 182, mean ± SD; body mass index (BMI): 26.2 ± 4.2 kg/m2] in early pregnancy (8.4 ± 1.6 weeks, EP), late pregnancy (30.1 ± 0.4 weeks, LP), and averaged throughout pregnancy, and determined the relationship between protein intake and offspring homeostatic model assessment of insulin resistance (HOMA2-IR) at 12 (12mo) and 24 (24mo) months. EP protein (g·kg−1·day−1) did not associate with HOMA2-IR at 12mo (β = 0.153, p = 0.429) or 24mo (β = −0.349, p = 0.098). LP protein did not associate with HOMA2-IR at 12mo (β = 0.023, p = 0.916) or 24mo (β = −0.442, p = 0.085). Finally, average protein did not associate with HOMA2-IR at 12mo (β = 0.711, p = 0.05) or 24mo (β = −0.445, p = 0.294). Results remained unchanged after adjusting for plant protein intake quartiles during pregnancy, maternal BMI, and offspring sex and body fat percentage. Additionally, these relationships did not change after quartile analysis of average protein intake, even after considering offspring fasting time and HOMA2-IR outliers, and maternal under-reporters of energy intake. Protein intake during pregnancy is not associated with indirect measurements of insulin sensitivity in offspring during the first two years of life.

scholarly journals MON-104 The Relationship Between Metabolic Syndrome Indicators and Body Composition Measured by Bioelectrical Impedance Analysis Methods in Obese Children

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Seulki Kim ◽  
Yoonji Lee ◽  
Na-yeong Lee ◽  
Seonhwa Lee ◽  
Yujung Choi ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Composition ◽  
Serum Insulin ◽  
Fat Free Mass ◽  
Model Assessment ◽  
Z Score ◽  
Good Tool ◽  
Prepubertal Children ◽  
Composition Data ◽  
The Relationship

Abstract Purpose: This study aimed to compare obesity indices with impedance analyzed body composition data, and to investigate the association between impedance analyzed body composition data and the prevalence of metabolic syndrome. Methods: 123 prepubertal children (49% girls 3-to-8- year-old, 51% boys 3-to-9-year-old) who are below or equal to body mass index (BMI, kg/m2) 85th percentile were retrospectively reviewed. Height, weight, waist circumference, blood pressure, serum lipid profiles, fasting plasma glucose and serum insulin were measured. Body fat percentile (BFP), fat-free mass (FFM) were measured by BIA and fat mass index (FMI), fat-free mass index (FFMI) were calculated. We investigated the relationship between metabolic syndrome indicators and body composition measured by BIA. Metabolic syndrome (MetS) was defined as including more than or equal to three of the metabolic abnormalities according to the modified National Cholesterol Education Program Adult Treatment Panel III. Results: The overall prevalence of MetS was found to be 15.4%(19/123). The prevalence of MetS, MetS indicators, and body composition measured by BIA were not significantly different between males and females. BMI z-score was positively correlated with BFP, FMI and FFMI (r=0.51, P=0.001; r=0.63, P=0.001; r=0.29, P=0.001, respectively), so was waist-to-height ratio (WHR) (r=0.57, P=0.001; r=0.70, P=0.001; r=0.33, P=0.001). Homeostatic model assessment for insulin resistance (HOMA-IR) index was associated to BFP, FFM, FMI, and FFMI (r=0.305, P=0.003; r=0.359, P=0.001; r=0.331, P=0.001; r=0.24, P=0.018, respectively). Regression analysis showed chronological age (CA) and BMI z-score affect HOMA-IR (β=0.61, P=0.001; β=0.93, P=0.002, respectively) and CA was considered as a potential risk factor of MetS (Odd ratio of 3.09 and 95 % confidence interval of 1.25–7.65). Conclusion: BIA seems to be a good tools for measuring obesity but not a good tool for predicting complications of obesity in prepubertal children. Further study is needed on the risk factors for complications of obesity in prepubertal children.

scholarly journals The Relationship between Circulating Acetate and Human Insulin Resistance before and after Weight Loss in the DiOGenes Study

Nutrients ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 339
Author(s):  
Manuel A. González Hernández ◽  
Emanuel E. Canfora ◽  
Kenneth Pasmans ◽  
A. Astrup ◽  
W. H. M. Saris ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Weight Loss ◽  
Insulin Sensitivity ◽  
Positive Association ◽  
Fat Free Mass ◽  
Model Assessment ◽  
Random Factor ◽  
Before And After ◽  
Homeostatic Model Assessment ◽  
Matsuda Index

Microbially-produced acetate has been reported to beneficially affect metabolic health through effects on satiety, energy expenditure, insulin sensitivity, and substrate utilization. Here, we investigate the association between sex-specific concentrations of acetate and insulin sensitivity/resistance indices (Homeostatic Model Assessment of Insulin Resistance (HOMA-IR), circulating insulin and Matsuda Index) in the Diet, Obesity and Genes (DiOGenes) Dietary study at baseline and after a low-calorie diet (LCD, 800 kcal/d). In this analysis, 692 subjects (Body Mass Index >27 kg/m2) were included, who underwent an LCD for 8 weeks. Linear mixed models were performed, which were adjusted for mean acetate concentration, center (random factor), age, weight loss, and fat-free mass (FFM). At baseline, no associations between plasma acetate and insulin sensitivity/resistance indices were found. We found a slight positive association between changes in acetate and changes in HOMA-IR (stdβ 0.130, p = 0.033) in women, but not in men (stdβ −0.072, p = 0.310) independently of age, weight loss and FFM. We were not able to confirm previously reported associations between acetate and insulin sensitivity in this large European cohort. The mechanisms behind the sex-specific relationship between LCD-induced changes in acetate and insulin sensitivity require further study.

Plasma MOTS-c levels are associated with insulin sensitivity in lean but not in obese individuals

2018 ◽  
Vol 66 (6) ◽  
pp. 1019-1022 ◽  
Author(s):  
Luis Rodrigo Cataldo ◽  
Rodrigo Fernández-Verdejo ◽  
José Luis Santos ◽  
Jose Eduardo Galgani
Keyword(s):  
Insulin Resistance ◽  
Insulin Sensitivity ◽  
High Energy ◽  
12S Rrna ◽  
Model Assessment ◽  
Metabolic Homeostasis ◽  
Reading Frame ◽  
Homeostatic Model Assessment ◽  
Matsuda Index ◽  
Insight Into

Mitochondrial open reading frame of the 12S rRNA-c (MOTS-c) is a mitochondrial-derived peptide that attenuates weight gain and hyperinsulinemia when administered to high fat-fed mice. MOTS-c is therefore a potential regulator of metabolic homeostasis under conditions of high-energy supply. However, the effect of insulin resistance and obesity on plasma MOTS-c concentration in humans is unknown. To gain insight into MOTS-c regulation, we measured plasma MOTS-c concentration and analyzed its relationship with insulin sensitivity surrogates, in lean and obese humans (n=10 per group). Obese individuals had impaired insulin sensitivity as indicated by low Matsuda and high Homeostatic Model Assessment (HOMA) indexes. Although plasma MOTS-c concentration was similar in lean and obese individuals (0.48±0.16 and 0.52±0.15 ng/mL; p=0.60), it was correlated with HOMA (r=0.53; p<0.05) and Matsuda index (r=−0.46; p<0.05). Notably, when the groups were analyzed separately, the associations remained only in lean individuals. We conclude that plasma MOTS-c concentration is unaltered in human obesity. However, MOTS-c associates positively with insulin resistance mostly in lean individuals, indicating that plasma MOTS-c concentration depends on the metabolic status in this population. Such dependence seems altered when obesity settles. The implications of plasma MOTS-c for human metabolic homeostasis deserve future examination.

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