scholarly journals Change of Body Composition and Adipokines and Their Relationship with Insulin Resistance across Pubertal Development in Obese and Nonobese Chinese Children: The BCAMS Study

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Lu Xu ◽  
Ming Li ◽  
Jinhua Yin ◽  
Hong Cheng ◽  
Miao Yu ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Composition ◽  
Pubertal Development ◽  
Multivariate Regression Analysis ◽  
Normal Weight ◽  
Chinese Children ◽  
Model Assessment ◽  
Anthropometric Measures ◽  
Tanner Staging ◽  
The Impact

A transient increase in insulin resistance (IR) is a component of puberty. We investigated the impact of body composition and adipokines on IR during puberty in Chinese children. This study included 3223 schoolchildren aged 6–18 years. IR was calculated using homeostasis model assessment (HOMA-IR). We revealed that body mass index (BMI) and waist circumference increased gradually during puberty in both genders, while fat-mass percentage (FAT%) increased steadily only in girls. Change of leptin showed striking sexual dimorphisms: in girls leptin increased steadily during puberty, whereas in boys, after a transient rise at the beginning of puberty, leptin declined by Tanner staging even in those overweight or obese. Inversely, adiponectin level decreased significantly during puberty. In both genders, HOMA-IR started to increase at the beginning of puberty, peaked in the middle, and revised at late puberty in overweight/obesity boys while it stayed high till the end of puberty in girls and normal weight boys. Multivariate regression analysis revealed that leptin presented a stronger indicator of HOMA-IR than anthropometric measures during puberty. Our results demonstrated that gender-specific FAT% and leptin changed with pubertal development. Leptin emerged as a stronger predictor of IR than traditional anthropometric indices, suggesting a prominent role in the development of pubertal IR.

scholarly journals Acylated and nonacylated ghrelin levels and their associations with insulin resistance in obese and normal weight children with metabolic syndrome

2009 ◽  
Vol 161 (6) ◽  
pp. 861-870 ◽  
Author(s):  
Lucia Pacifico ◽  
Eleonora Poggiogalle ◽  
Francesco Costantino ◽  
Caterina Anania ◽  
Flavia Ferraro ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Fasting Blood Glucose ◽  
Tanner Stage ◽  
Normal Subjects ◽  
Normal Weight ◽  
Healthy Children ◽  
Model Assessment ◽  
Obese Children ◽  
The Impact

BackgroundGhrelin, a peptide mainly derived from the stomach, plays a pivotal role in the regulation of food intake, energy metabolism, and storage, as well as in insulin sensitivity. Ghrelin circulates in acylated (A-Ghr) and nonacylated (NA-Ghr) forms, and their potential differential associations with insulin resistance (IR) in childhood obesity remain undefined.ObjectiveWe investigated the associations of ghrelin forms with IR in normal weight and obese children and the impact of metabolic syndrome (MS) on their plasma values.DesignA total of 210 children in four subgroups of normal weight/obese children with and without components of MS were studied. Fasting blood glucose, insulin, lipid profile, and acylated and total ghrelin were examined. IR was determined by a homeostasis model assessment (HOMA) of IR.ResultsIn the entire population, plasma insulin and HOMA-IR were associated negatively with T-Ghr and NA-Ghr, but positively with the ratio of A/NA-Ghr after adjustment for age, gender, and Tanner stage. Obese metabolically abnormal children had lower T-Ghr and NA-Ghr, but comparable A-Ghr and a higher A/NA-Ghr ratio than obese metabolically normal subjects. Compared with lean healthy children, lean metabolically abnormal subjects had higher A-Ghr and the A/NA-Ghr ratio, but comparable T-Ghr and NA-Ghr. A multiple regression analysis showed that A-Ghr and the A/NA-Ghr ratios were positively associated with HOMA-IR, independent of age, gender, Tanner stage, and body mass index (or waist circumference) and other components of MS.ConclusionsA-Ghr excess may negatively modulate insulin action in obese and nonobese children, and may contribute to the association of IR and MS.

scholarly journals Prevalence and Predictors of Insulin Resistance in Non-Obese Healthy Young Females in Qatar

2020 ◽  
Vol 17 (14) ◽  
pp. 5088 ◽  
Author(s):  
Mohamed A. Elrayess ◽  
Nasser M. Rizk ◽  
Amina S. Fadel ◽  
Abdelhamid Kerkadi
Keyword(s):  
Insulin Resistance ◽  
Linear Models ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
Model Assessment ◽  
Anthropometric Measures ◽  
Cross Sectional ◽  
High Prevalence ◽  
Healthy Females

The state of Qatar suffers from diabetes epidemic due to obesity-associated metabolic syndrome. However, the prevalence of insulin resistance prior to obesity, which could play an important role in the high prevalence of diabetes, has not yet been described. This study aims to compare the prevalence of insulin resistance in apparently healthy non-obese and obese participants from Qatar and identify the predictors of insulin resistance in different body mass index (BMI)-groups. In this cross-sectional study, 150 young healthy females from Qatar were dichotomized into four groups (underweight, normal weight, overweight and obese) based on their BMI. Anthropometric measures as well as fasting plasma levels of lipids, adipokines, blood glucose and insulin were recorded. The prevalence of insulin resistance as per homeostatic model assessment of insulin resistance (HOMA-IR) was estimated and differences between insulin sensitive and insulin resistant were compared. Linear models were used to identify predictors of insulin resistance in every BMI group. Prevalence of insulin resistance in non-obese healthy females from Qatar ranges between 7% and 37% and increases with BMI. Overall, predictors of insulin resistance in the Qatari population are triglycerides/high-density lipoprotein (HDL) ratio and free fat mass but vary according to the BMI group. The main predictors were triglycerides in normal weight, triglycerides/HDL in overweight and triglycerides/HDL and interleukin-6 (IL-6) in obese individuals. The high prevalence of insulin resistance in non-obese Qataris may partially explain diabetes epidemic. Larger studies are warranted to confirm these findings and identify underlying causes for insulin resistance in non-obese individuals in Qatar, aiming at targeted intervention before diabetes onset.

Polymorphism PLIN1 11482 G>A Interacts with Dietary Intake to Modulate Anthropometric Measures and Lipid Profile in Adults with Normal-Weight Obesity Syndrome

2021 ◽  
pp. 1-24
Author(s):  
Luciana C Holzbach ◽  
Amanda G Z Silveira ◽  
Lana P Franco ◽  
Maria A Horst ◽  
Cristiane Cominetti
Keyword(s):  
Body Composition ◽  
Dietary Intake ◽  
Lipid Profile ◽  
Body Fat ◽  
Nutrient Intake ◽  
Normal Weight ◽  
Model Assessment ◽  
Anthropometric Measures ◽  
Normal Weight Obesity ◽  
Cardiometabolic Markers

Abstract Evidence shows that genetic polymorphisms in perilipin 1 gene (PLIN1) are associated with excessive accumulation of body fat and disturbances in cardiometabolic markers. Therefore, the aim of this study was to verify whether the single nucleotide polymorphism (SNP) PLIN1 11482 G>A (rs894160) interacts with nutrient intake, anthropometric, body composition, and cardiometabolic markers in adults with Normal-Weight Obesity (NWO) syndrome. A cross-sectional study was carried out with 116 individuals aged 20 to 59, with normal body mass index (BMI) and high percentage of body fat. Anthropometric and body composition measures, glycaemic control and serum lipid markers, SNP PLIN1 11482 G>A, and nutrient intake were evaluated. Interactions between nutrient intake and the SNP were determined by regression models and adjusted for potential confounders. The SNP frequency was 56.0% GG, 38.8% GA and 5.2% AA. Anthropometric measures and biochemical markers were not different according to genotype, except for total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and non-HDL-C concentrations. However, important interactions between the SNP and dietary intake were observed. Carbohydrate intake interacted with the SNP PLIN1 11482 G>A to modulate waist circumference (WC) and the Homeostatic Model Assessment of Insulin Resistance index. Interaction of lipid intake and the SNP modulated TC and LDL-C concentrations, and the interaction between protein intake and the SNP tended to modulate weight, WC and BMI. The SNP PLIN1 11482 G>A seems to modulate responses in anthropometric and lipid profile biomarkers of subjects with NWO depending on the dietary macronutrient composition, which may have long-term impact on cardiometabolic markers.

Hepatic fat in early childhood is independently associated with estimated insulin resistance: The Healthy Start Study

2021 ◽  
Author(s):  
Catherine C Cohen ◽  
Wei Perng ◽  
Shikha S Sundaram ◽  
Ann Scherzinger ◽  
Kartik Shankar ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Early Childhood ◽  
Body Composition ◽  
Normal Weight ◽  
Healthy Start ◽  
Fat Free Mass ◽  
Model Assessment ◽  
Metabolic Dysfunction ◽  
Metabolic Markers ◽  
Hepatic Fat

Abstract Background Fatty liver disease is a common metabolic abnormality in adolescents with obesity, but remains under-studied in early childhood. Objectives To describe hepatic fat deposition in prepubertal children and examine associations with metabolic markers and body composition. Methods Data were from 286 children ages 4-8 years old in the Healthy Start Study, a longitudinal pre-birth cohort in Colorado. Assessments included magnetic resonance imaging to quantify hepatic and abdominal fats, fasting blood draws to measure metabolic markers, and air displacement plethysmography to measure body composition (fat mass and fat-free mass). Results The median (IQR) for hepatic fat was 1.65% (1.24%,2.11%). Log-transformed hepatic fat was higher in Hispanic [Mean (95% CI): 0.63 (0.52,0.74)] vs. non-Hispanic white children [0.46 (0.38,0.53), p=0.01] and children with overweight/obesity [0.64 (0.49,0.79)] vs. normal-weight [0.47 (0.40,0.53), p=0.02]. Higher log-hepatic fat was associated with higher insulin [β(95% CI): 1.47 (0.61,2.33) uIU/mL, p=0.001] and estimated insulin resistance (homeostatic model assessment) [0.40 (0.20,0.60), p<0.001] in the full sample, and glucose [5.53 (2.84,8.21) mg/dL, p<0.001] and triglycerides [10.92 (2.92,18.91) mg/dL, p=0.008] in boys, in models adjusted for sociodemographics, maternal/perinatal confounders, and percent body fat. Log-hepatic fat was also associated with abdominal subcutaneous adipose tissue [7.37 (1.12,13.60) mm 2, p=0.02] in unadjusted models, but this was attenuated and insignificant after adjusting for confounders. Conclusions While hepatic fat was low in children 4-8 years old, it was independently associated with estimated insulin sensitivity and exhibited sex-specific associations with glucose and triglycerides, suggesting hepatic fat may be an early indicator of metabolic dysfunction in youth.

scholarly journals Impact of Recreational Physical Activity And Body Composition On Insulin Resistance In Older Adult Population

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 1045-1045
Author(s):  
Pao-Feng Tsai ◽  
Chih-Hsuan Wang ◽  
Caralise Hunt ◽  
Sarah Watts ◽  
Katilya Ware
Keyword(s):  
Physical Activity ◽  
Insulin Resistance ◽  
Older Adults ◽  
Body Composition ◽  
Ethnic Groups ◽  
Dominant Factor ◽  
Model Assessment ◽  
Rate Of Increase ◽  
The Impact ◽  
Racial Ethnic

Abstract Purpose The study was to identify the impact of physical activity (PA) and body composition on insulin resistance in older adults and investigate racial/ethnic difference in these relationships. Method: This secondary data analysis project used 717 participants who were 55 years and older without diabetes from the 2017-2018 National Health and Nutrition Examination Survey. Major variables included homeostatic model assessment of insulin resistance (HOMA-IR), body mass index (BMI), waist circumference (WC), and recreational PA. The covariates included were demographics, nutrition intake, and lifestyle (smoking and alcohol usage). Hierarchical multiple regressions were conducted to analyze the data. Results Body composition and recreational PA had interaction and main effects on HOMA-IR in the overall sample. Level of HOMA-IR decreased with increasing levels of recreational PA in individuals with lower levels of BMI, but in individuals with higher levels of BMI, HOMA-IR increased. Level of HOMA-IR increased with increasing levels of recreational PA across the range of WCs, but the rate of increase was slightly more pronounced at higher level of WCs. These results varied across racial/ethnic groups. Conclusion Overall, both recreational PA and body composition are important factors that affect level of HOMA-IR, but body composition seems to be the dominant factor. PA is only beneficial for older adults with low BMI. Interventions for reducing insulin resistance should be tailored to specific racial/ethnic groups.

scholarly journals SAT0111 THE RELATIONSHIP BETWEEN THE ADMINISTRATION OF IL-6 INHIBITORS AND INSULIN RESISTANCE IN PATIENTS WITH ACTIVE RHEUMATOID ARTHRITIS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 989.3-989
Author(s):  
A. Jitaru ◽  
C. Pomirleanu ◽  
M. M. Leon-Constantin ◽  
F. Mitu ◽  
C. Ancuta
Keyword(s):  
Rheumatoid Arthritis ◽  
Insulin Resistance ◽  
Insulin Sensitivity ◽  
Beneficial Effect ◽  
Disease Activity ◽  
Interleukin 6 ◽  
Normal Weight ◽  
Diabetic Patients ◽  
Model Assessment ◽  
Inflammatory Status

Background:Rheumatoid arthritis (RA) is associated with an increased cardiovascular (CV) risk, due not only to the traditional risk factors (hypertension, insulin resistance/diabetes, obesity, smoking), but to the inflammatory status as well. The blockade of interleukin-6 (IL-6) can regulate the glucose metabolism, reducing the glucose level and insulin resistance (IR). This beneficial effect is seen more in patients with normal values of body mass index (BMI), compared to the obese population.Objectives:Given the mentioned existing data, we aim to demonstrate the positive effect of IL-6 inhibitors in active RA patients with normal or increased BMI.Methods:We recruited 56 consecutive patients with definite and active RA, non-responders/partial responders to conventional synthetic Drug Modifying Anti-Rheumatic Drugs (csDMARDs)/biological therapy. For a period of 52 weeks, patients received subcutaneous Tocilizumab (TCZ) in a dose of 162mg once a week, according to European League Anti Rheumatism (EULAR) recommendation and National Protocol. We assessed demographics, RA-related parameters (clinical, inflammatory and immune) and metabolic markers, as well as the peripheral response to insulin, quantified by Homeostasis Model Assessment for insulin resistance (HOMA-IR) and the Quantitative Insulin Sensitivity Check Index (QUICKI). We did not include in the study the patients known with diabetes mellitus (DM) and those undergoing glucocorticoids.Results:After 52 weeks of treatment, most of the patients showed a statistically significant reduction of HOMA-IR (3.61 ± 1.21 at the onset vs. 2.45 ± 1.46 at the end of the study, p<0.001), while QUICKI registered a slight increase (0.32 ± 0.01 at the onset vs. 0.33 ± 0.01 at the end of the study, p<0.001). Also, the decrease in insulin and glucose levels were more obvious in patients with normal BMI, strictly related to disease activity.Conclusion:Long-term administration of TCZ in active RA is associated with a significant reduction of disease activity and IR, especially in normal weight patients. This confirms that obesity, as a CV risk factor, represents one of the main causes of IR.References:[1]Castañeda S, Remuzgo-Martínez S, López-Mejías R et al. Rapid beneficial effect of the IL-6 receptor blockade on insulin resistance and insulin sensitivity in non-diabetic patients with rheumatoid arthritis.Clin Exp Rheumatol. 2019; 37(3):465-473.[2]Lehrskov LL, Christensen RH. The role of interleukin-6 in glucose homeostasis and lipid metabolism.Semin Immunopathol. 2019; 41(4):491-499.[3]Ursini F, Russo E, Ruscitti P, Giacomelli R, De Sarro G. The effect of non-TNF-targeted biologics and small molecules on insulin resistance in inflammatory arthritis.Autoimmun Rev. 2018 Apr;17(4):399-404.Disclosure of Interests:Alexandra Jitaru: None declared, Cristina Pomirleanu: None declared, Maria-Magdalena Leon-Constantin: None declared, Florin Mitu: None declared, CODRINA ANCUTA Consultant of: AbbVie, Pfizer, Roche, Novartis, UCB, Ewopharma, Merck Sharpe and Dohme, and Eli Lilly, Speakers bureau: AbbVie, Pfizer, Roche, Novartis, UCB, Ewopharma, Merck Sharpe and Dohme, and Eli Lilly

scholarly journals Homeostasis model assessment of insulin resistance (HOMA-IR) and metabolic syndrome at baseline of a multicentric Brazilian cohort: ELSA-Brasil study

2020 ◽  
Vol 36 (8) ◽  
Author(s):  
Maria de Fátima Haueisen Sander Diniz ◽  
Alline Maria Rezende Beleigoli ◽  
Maria Inês Schmidt ◽  
Bruce B. Duncan ◽  
Antônio Luiz P. Ribeiro ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Model Assessment ◽  
Adult Health ◽  
Homeostasis Model Assessment ◽  
The Metabolic Syndrome ◽  
Brazilian Cohort ◽  
Overweight Or Obesity

Abstract: Homeostasis model assessment of insulin resistance (HOMA-IR) is a method to measure insulin resistance. HOMA-IR cut-offs for identifying metabolic syndrome might vary across populations and body mass index (BMI) levels. We aimed to investigate HOMA-insulin resistance cut-offs that best discriminate individuals with insulin resistance and with metabolic syndrome for each BMI category in a large sample of adults without diabetes in the baseline of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Among the 12,313 participants with mean age of 51.2 (SD 8.9) years, the prevalence of metabolic syndrome was 34.6%, and 60.1% had overweight or obesity. The prevalence of metabolic syndrome among normal weight, overweight and obesity categories were, respectively, 13%, 43.2% and 60.7%. The point of maximum combined sensitivity and specificity of HOMA-IR to discriminate the metabolic syndrome was 2.35 in the whole sample, with increasing values at higher BMI categories. This investigation contributes to better understanding HOMA-IR values associated with insulin resistance and metabolic syndrome in a large Brazilian adult sample, and that use of cut-off points according to ROC curve may be the better strategy. It also suggests that different values might be appropriate across BMI categories.

scholarly journals Insulin Resistance as a Predictor of Cardiovascular Disease in Patients on peritoneal dialysis

2013 ◽  
Vol 33 (4) ◽  
pp. 411-418 ◽  
Author(s):  
Yun Li ◽  
Lihua Zhang ◽  
Yong Gu ◽  
Chuanming Hao ◽  
Tongying Zhu
Keyword(s):  
Insulin Resistance ◽  
Peritoneal Dialysis ◽  
Independent Predictor ◽  
Hazard Ratio ◽  
Diabetic Patients ◽  
Model Assessment ◽  
Mortality Hazard ◽  
Cv Disease ◽  
The Impact ◽  
Mortality Hazard Ratio

BackgroundInsulin resistance is associated with multiple risk factors for cardiovascular (CV) disease in the general population. Patients on peritoneal dialysis (PD) are more likely to develop insulin resistance. However, no evaluation of the impact of insulin resistance on CV disease morbidity or mortality in patients on PD has been performed.MethodsOur prospective cohort study included all non-diabetic patients on PD at our center ( n = 66). Insulin resistance was evaluated at baseline by the homeostasis model assessment method (HOMA-IR) using fasting glucose and insulin levels. The cohort was followed for up to 58 months (median: 41.3 months; interquartile range: 34.3 months). A multivariate Cox model was used to analyze the impact of insulin resistance on CV disease mortality.ResultsFourteen CV events occurred in the higher HOMA-IR group [IR-H (HOMA-IR values in the range 2.85 – 19.5), n = 33], but only one event occurred in the lower HOMA-IR group (IR-L (HOMA-IR values in the range 0.83 – 2.71), n = 33) during the follow-up period. Level of HOMA-IR was a significant predictor of CV events [risk ratio: 17.7; 95% confidence interval (CI): 2.10 to 149.5; p = 0.008]. In the IR-H group, 10 patients died (8 CV events), but in the IR-L group, only 4 patients died (1 CV event). Patients in the IR-H group experienced significantly higher CV mortality (hazard ratio: 9.02; 95% CI: 1.13 to 72.2; p = 0.04). Even after adjustments for age, systolic blood pressure, body mass index, C-reactive protein, triglycerides, resistin, and leptin, HOMA-IR remained an independent predictor of CV mortality (hazard ratio: 14.8; 95% CI: 1.22 to 179.1; p = 0.03).ConclusionsInsulin resistance assessed using HOMA-IR was an independent predictor of CV morbidity and mortality in a cohort of nondiabetic patients on PD. Insulin resistance is a modifiable risk factor; the reduction of insulin resistance may reduce CV risk and improve survival in this group of patients.

scholarly journals Serum Testosterone to Androstenedione Ratio Predicts Metabolic Health in Normal-Weight Polycystic Ovary Syndrome Women

2021 ◽  
Author(s):  
Daniel A Dumesic ◽  
Ayli Tulberg ◽  
Megan McNamara ◽  
Tristan R Grogan ◽  
David H Abbott ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Elevated Serum ◽  
Normal Weight ◽  
Model Assessment ◽  
Metabolic Function ◽  
Ovary Syndrome ◽  
Intravenous Glucose

Abstract Context Increased aldo-keto reductase 1C3 (AKR1C3)-mediated conversion of androstenedione (A4) to testosterone (T) promotes lipid storage in subcutaneous (SC) abdominal adipose in overweight/obese polycystic ovary syndrome (PCOS) women. Objective To examine whether an elevated serum T/A4 ratio, as a marker of enhanced AKR1C3 activity in SC abdominal adipose, predicts metabolic function in normal-weight PCOS women. Design Prospective cohort study. Setting Academic center. Patients Nineteen normal-weight PCOS women; 21 age- and body mass index-matched controls. Intervention(s) Circulating hormone/metabolic determinations, intravenous glucose tolerance testing, total body dual-energy x-ray absorptiometry, SC abdominal fat biopsy. Main Outcome Measure(s) Serum T/A4 ratios, hormone/metabolic measures and AKR1C3 expression of adipocytes matured in vitro were compared between female types; serum T/A4 ratios were correlated with serum lipids, adipose insulin resistance (adipose-IR), homeostatic model assessment of insulin resistance (HOMA-IR) and insulin sensitivity (Si). Results Increased serum T/A4 ratios (P=0.040) and log adipose-IR values (P=0.002) in PCOS women versus controls were accompanied by AKR1C3 mRNA overexpression of PCOS adipocytes matured in vitro (P=0.016). Serum T/A4 ratios in PCOS women, but not controls, negatively correlated with log triglycerides (TG: R=-0.65, P=0.002) and the TG index (R=-0.57, P=0.011). Adjusting for serum free T, serum T/A4 ratios in PCOS women remained negatively correlated with log TG (R=-0.57, P=0.013) and TG index (R=-0.50, P=0.036), respectively, without significant relationships with other metabolic measures. Conclusion An elevated serum T/A4 ratio, as a marker of enhanced AKR1C3 activity in SC abdominal adipose, predicts healthy metabolic function in normal-weight PCOS women.

scholarly journals Association of vitamin D-binding protein and vitamin D3 with insulin and homeostatic model assessment (HOMA-IR) in overweight and obese females

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Leila Setayesh ◽  
Krista Casazza ◽  
Nariman Moradi ◽  
Sanaz Mehranfar ◽  
Habib Yarizadeh ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Vitamin D ◽  
Body Composition ◽  
Binding Protein ◽  
The Body ◽  
Enzyme Linked Immunosorbent Assay ◽  
Model Assessment ◽  
Vitamin D Binding Protein ◽  
Homeostatic Model Assessment ◽  
Homeostatic Model

Abstract Objective Equivocal association the contribution of 25-hydroxyvitamin D (25(OH)D) and the well-accepted role of vitamin D-binding protein (VDBP) on bioavailability of 25(OH)D or its independent roles, has led to possible association of the VDBP in glucose metabolism. This study was conducted to evaluate the relationships among 25(OH)D, VDBP, glucose/insulin metabolism and homeostatic model assessment (HOMA-IR). Blood samples were collected from 236 obese and overweight women. VDBP and 25(OH)D levels, and biochemical parameters were measured using an enzyme-linked immunosorbent assay (ELISA). An impedance fat analyzer was utilized to acquire the body composition. Results Using the multivariate linear regression, a reverse relationship was observed between VDBP and (HOMA-IR), such that women with higher VDBP displayed lower insulin resistance. The relationship was independent of age, body mass index, standardized energy intake and physical activity (p = 0.00). No significant relationship between 25(OH)D levels, FBS, body composition or insulin resistance were observed (p > 0.2). Current study observed that higher level of VDBP may be associated with lower levels of insulin and HOMA-IR, thus the evaluation of VDBP in diverse population groups seems to have significant clinical value in evaluating the prevalence of DM or early stage of glucose intolerance.

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