Serum soluble transferrin receptor levels are independently associated with homeostasis model assessment of insulin resistance in adolescent girls

IntroductionMarkers of iron homeostasis are related to insulin resistance (IR) in adults. However, studies in children and adolescents are scarce and show contradictory results. The aim of this study was to evaluate the potential relationship between iron status markers and IR. Additionally, no previous study has explored the simultaneous effect of biomarkers of iron homeostasis and inflammation [i.e. high sensitivity C-reactive protein, (hsCRP)], and adipokines [i.e. retinol-binding protein 4 (RBP4)] on IR in the cohort of late adolescent girls.Material and methodsA total of 60 girls age between 16-19 years encompassed the study. Serum levels of ferritin, transferrin, soluble transferrin receptor (sTfR), hsCRP, and RBP4 were measured by immunonephelometry. Homeostasis model assessment of insulin resistance (HOMA-IR) and iron homeostasis indexes were calculated. Univariate and multivariate binary logistic regression analysis were used to investigate the possible independent associations of the examined biomarkers. Principal component analysis was used to examine its mutual effect on HOMA-IR in studied girls.ResultsFerritin, sTfR, hsCRP and RBP4 were significant predictors for higher HOMA-IR in univariate analysis (p=0.020, p=0.009, p=0.007, p=0.003, respectively). Multivariate regression analysis after adjustment for waist circumference (WC) showed that serum sTfR levels remained positively associated with higher HOMA-IR (p=0.044). Factorial analysis revealed that Obesity-Inflammation related factor (i.e., WC and hsCRP) and Adipokine-Acute phase proteins related factor (i.e., RBP4 and ferritin) showed significant difference between HOMA-IR <2.5 and HOMA-IR ≥2.5.ConclusionsSerum sTfR levels are independently associated with HOMA-IR, whereas higher serum ferritin levels together with higher RBP4 are related to higher HOMA-IR in adolescent girls.

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Phenotypic Variation of Insulin Resistance among Polycystic Ovarian Syndrome Patients in Semiurban North Indian Population

JOURNAL FOR CLINICAL AND DIAGNOSTIC RESEARCH ◽

10.7860/jcdr/2021/49325.14985 ◽

2021 ◽

Author(s):

Chaitali Maitra ◽

Ramesh Chandra Gupta ◽

Rishika Raj

Keyword(s):

Insulin Resistance ◽

Regression Analysis ◽

Polycystic Ovarian Syndrome ◽

Specific Treatment ◽

Reproductive Age ◽

Model Assessment ◽

Cross Sectional ◽

Significant Difference ◽

Ovarian Syndrome ◽

Rotterdam Criteria

Introduction: Polycystic Ovarian Syndrome (PCOS) is a common endocrine disorder in the women of reproductive age. Studies show that there is an intensive relationship between insulin and gonadal function. As per Rotterdam Criteria, there are four major phenotypes of PCOS with different presentation. Early detection of Insulin Resistance (IR) and consequential prevention of Metabolic Syndrome (MS) associated with PCOS may lead to better prospect for the disease. Aim: To find the pattern of IR in all the phenotypes of PCOS in relation to Waist Hip Ratio (WHR), Body Mass Index (BMI) and Testosterone and thereby, providing data for designing phenotype specific treatment of the disease. Materials and Methods: In this cross-sectional observational study, fasting insulin and fasting glucose were analysed to calculate Homeostasis Model Assessment (HOMA-IR) and Testosterone for total 144 female subjects of reproductive age group (18-40 years). Subjects were classified in to four groups as per Rotterdam Criteria. Complete PCOS (PCO-COM), PCO with Oligo/Anovulation (PCO-O), Anovulation with Hyperandrogenism (O-HA), and PCO with Hyperandrogenism (PCO-HA). Regression analysis was done to find the relation among the study variables. Analysis of Variance (ANOVA) was used to analyse the significant variance among the groups. Results: IR was found to be maximum among O-HA phenotype (2.4±0.37) and lowest among PCO-HA phenotypes (1.3±0.22). Regression analysis shows that there exist significant associations between IR and BMI (t=4.96, p=0.001) as well as between IR and WHR (t=2.97, p=0.003). No independent association between testosterone and IR was observed. Conclusion: Significant difference of IR, WHR, and BMI was observed among the four phenotypes of PCOS. Due to increased IR, O-HA and PCO-COM phenotypes are more predisposed to Cardiometabolic consequences of PCOS.

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Endotrophin as a novel marker in PCOS and its relation with other adipokines and metabolic parameters: a pilot study

Therapeutic Advances in Endocrinology and Metabolism ◽

10.1177/20420188211049607 ◽

2021 ◽

Vol 12 ◽

pp. 204201882110496

Author(s):

Gurhan Guney ◽

Mine Islimye Taskin ◽

Ozgur Baykan ◽

Ertan Adali ◽

Selin Gul Tezcan ◽

...

Keyword(s):

Insulin Resistance ◽

Polycystic Ovary Syndrome ◽

Polycystic Ovary ◽

Density Lipoprotein ◽

Resistance Index ◽

Total Testosterone ◽

Model Assessment ◽

Homeostasis Model Assessment ◽

Ovary Syndrome ◽

Significant Difference

Background: Polycystic ovary syndrome is known to be the most common hormonal disorder in women of reproductive age. Current evidence shows that regulatory proteins secreted from the adipose tissue called adipokines may have a role in polycystic ovary syndrome. We planned to investigate the role of endotrophin that has never been researched in polycystic ovary syndrome before and its correlation with other metabolic parameters and adipokines such as adiponectin and ghrelin in patients with polycystic ovary syndrome. Methods: Forty-three women ( n: 43) with polycystic ovary syndrome and 43 ( n: 43) women as a control group were enrolled in this cross-sectional study. Serum levels of endotrophin, adiponectin, and ghrelin levels were measured with the enzyme-linked immunosorbent assay method. High-density lipoprotein cholesterol, low-density lipoprotein cholesterol, total cholesterol levels, luteinizing hormone/follicle-stimulating hormone ratio, total testosterone, and triglyceride levels were measured. Homeostasis model assessment for insulin resistance index, body mass index, Ferriman Gallwey Score, and waist-to-hip ratio were also evaluated. Results: Total testosterone, homeostasis model assessment for insulin resistance, C-reactive protein, luteinizing hormone/follicle-stimulating hormone ratio, and triglyceride levels were higher in patients with polycystic ovary syndrome ( p < 0.01). No difference was detected between the groups in terms of body mass index, Ferriman Gallwey Score, waist-to-hip ratio, total cholesterol, low-density lipoprotein, and high-density lipoprotein levels ( p > 0.05). We did not observe any significant difference in adiponectin and ghrelin levels between the groups ( p > 0.05). Patients with polycystic ovary syndrome had significantly higher endotrophin levels ( p < 0.01). According to our regression analyses [area under the curve: 0.973 (0.935–1.000), 95% confidence interval, 95.2% sensitivity, and 100% specificity], it was shown that endotrophin greater than 92 ng/ml and homeostasis model assessment for insulin resistance greater than 2.5 might be good predictors for polycystic ovary syndrome diagnosis. Conclusion: We demonstrated that endotrophin level is higher in patients with polycystic ovary syndrome and may have predicted polycystic ovary syndrome with increased homeostasis model assessment for insulin resistance index. There was no significant difference in adiponectin and ghrelin levels in the polycystic ovary syndrome group. Endotrophin may have a role in polycystic ovary syndrome etiology rather than other adipokines.

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THE CHARACTERISTICS OF SECRETION OF ADIPONECTIN AND ITS RELATIONSHIP WITH PARTICULAR INDICESOF METABOLISM IN MALES OF ABLE-BODIED AGE IN CASE OF OBESITY

Medical Journal of the Russian Federation ◽

10.18821/0869-2106-2017-23-6-312-315 ◽

2017 ◽

Vol 23 (6) ◽

pp. 312-315

Author(s):

Olga V. Karataeva

Keyword(s):

Insulin Resistance ◽

Metabolic Syndrome ◽

Low Density Lipoproteins ◽

Model Assessment ◽

Homeostasis Model Assessment ◽

Metabolically Healthy Obesity ◽

Significant Difference ◽

Fasting Glycaemia ◽

Metabolically Healthy ◽

Degree Of Severity

The sampling consisted of 79 examined males of able-bodied age. The arterial hypertension stage I and II was established in 58% of them; obesity of various degree of severity was diagnosed in 63% of them; metabolic syndrome according criteria ATP-III was noted in 46.8% of examined patients. The general clinical and anthropometric examination was carried out. The laboratory analyses included estimation of lipidogram, fasting glycaemia and also hormones adiponectin and insulin with following calculation of index of insulin resistance HOMA-IR (Homeostasis Model Assessment of Insulin Resistance). The study was organized to investigate effecting of obesity on secretion of adiponectin and its relationship with indices of lipidogram and level of insulin resistance. The comparative analysis of groups with and absence of obesity established no significant difference in level of adiponectin and indices of lipidogram. the significant differences were established in the levels of basal insulin hence in value of index NOMA-IR that points to hyperinsulinemia and expressed insulin resistance in patients with obesity. The patients were separated in two groups depending on presence of manifestations of metabolic syndrome: with metabolically healthy obesity and metabolically complicated obesity. The analysis established a significant decreasing of level of adiponectin in the group of metabolically complicated obesity accompanied by insulin resistance, dyslipidemia and increased level of glycaemia. The study established no effect of degree of obesity on decreasing of level of adiponectin. The significant differences between levels of adiponectin in comparison between group without obesity and group of metabolically healthy obesity. The correlation analysis in group with obesity demonstrated back-coupling between level of adiponectin and content of total cholesterol, low density lipoproteins and coefficient of atherogenicity. The comparison of groups according median of adiponectin established significant differences in rate of development of metabolic syndrome and value of coefficient of atherogenicity.

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A comparative study of insulin resistance in acne vulgaris

International Journal of Research in Dermatology ◽

10.18203/issn.2455-4529.intjresdermatol20172545 ◽

2017 ◽

Vol 3 (3) ◽

pp. 403

Author(s):

Prathima Munichandrappa ◽

Manjunath K. G. ◽

Kiran C. ◽

Anirudh Variyar

Keyword(s):

Insulin Resistance ◽

Fasting Glucose ◽

Acne Vulgaris ◽

Model Assessment ◽

Fasting Insulin ◽

Homeostasis Model Assessment ◽

Insulin Levels ◽

Glucose Levels ◽

Significant Difference

Background: Acne is common skin problem among adolescents and young adults. Recently the role of insulin resistance in acne is being widely researched.The objectives of the study were to evaluate insulin resistance in acne, to compare the insulin resistance among cases and controls using homeostasis model assessment of insulin resistanceMethods: 45 cases and 45 controls were recruited. Acne severity was graded using the global acne grading system(GAGS). Fasting glucose, fasting insulin levels were done and insulin resistance was assessed using homeostasis model assessment of insulin resistance (HOMA-IR).Results: We did not find any statistically significant difference in fasting insulin levels between cases and controls. However, a weak positive correlation between acne severity and fasting insulin levels (r =0.3, p=0.04) were observed. Fasting glucose levels and HOMA-IR values observed between cases and controls were not statistically significant (p=0.05, p=0.59 respectively). Conclusions: Our study did not suggest a major role of insulin resistance in acne.

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Soluble transferrin receptor levels are positively associated with insulin resistance but not with the metabolic syndrome or its individual components

British Journal Of Nutrition ◽

10.1017/s0007114516002968 ◽

2016 ◽

Vol 116 (7) ◽

pp. 1165-1174 ◽

Cited By ~ 8

Author(s):

Milton Fabian Suárez-Ortegón ◽

Stela McLachlan ◽

Sarah H. Wild ◽

José Manuel Fernández-Real ◽

Caroline Hayward ◽

...

Keyword(s):

Insulin Resistance ◽

Metabolic Syndrome ◽

Postmenopausal Women ◽

Transferrin Receptor ◽

Smoking Status ◽

Elevated Serum ◽

Model Assessment ◽

Soluble Transferrin Receptor ◽

International Consensus ◽

The Metabolic Syndrome

AbstractThe metabolic syndrome (MetS) is known to be associated with elevated serum ferritin levels. The possible association with other Fe markers has been less well studied. We aimed to investigate the cross-sectional association of soluble transferrin receptor (sTfR) and ferritin levels with the MetS components, insulin resistance and glycosylated Hb (HbA1C). The sample consisted of 725 adults, aged 19–93 years (284 men, 151 premenopausal and 290 postmenopausal women), from the Croatian island of Vis. Serum sTfR and ferritin levels were measured by immunoturbidimetry and electrochemiluminescence assays, respectively. The MetS was defined using modified international consensus criteria. Logistic and linear regression analyses were conducted to investigate the associations adjusting for age, fibrinogen, smoking status, alcohol consumption and BMI. Prevalence of the MetS was 48·7 %. Standardised values of ferritin were positively associated with all of the MetS components (except high blood pressure and waist circumference) in men (P<0·05). Ferritin was significantly associated with the MetS in men (adjusted OR 1·78 (95 % CI 1·31, 2·42)) and postmenopausal women (1·71 (95 % CI 1·12, 2·62)). Interestingly, sTfR was independently and positively associated with homoeostatic model assessment for insulin resistance in men (adjusted β=0·44 (95 % CI 0·14, 0·75), P=0·004) and postmenopausal women (adjusted β coefficient=0·34 (95 % CI 0·05, 0·63), P=0·020). However, there was no significant relationship between serum sTfR levels and the MetS or its components. Neither ferritin nor sTfR was significantly associated with HbA1C (P>0·05). sTfR levels could be spuriously elevated in subjects with insulin resistance and without association with the MetS or its components. We conclude that different markers of Fe metabolism are not consistently associated with cardiometabolic risk.

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Insulin Resistance and Inflammatory Status Among Rheumatoid Arthritis Patients in Bangladesh

Journal of Medical Science & Research ◽

10.47648/jmsr.2009.v1302.01 ◽

2009 ◽

Vol 13 (Number 2) ◽

pp. 3-8

Author(s):

F Alam ◽

K Azad ◽

S Sultana ◽

T Habiba ◽

W Nargis ◽

...

Keyword(s):

Rheumatoid Arthritis ◽

Insulin Resistance ◽

Cell Function ◽

Model Assessment ◽

Homeostasis Model Assessment ◽

Inflammatory Status ◽

Chronic Inflammatory Condition ◽

Significant Difference ◽

Bangladeshi Population ◽

Medical University

This study was done to evaluate the association of insulin resistance and inflammatory Hants in Bangladeshi population. Eighty seven subjects, collected frost the outpatient department of Bangabandhu Sheikh Mujib Medical University, where 45 were rheumatoid arthritis (RA) patients and 42 controls. The RA patients showed significantly higher jotting blood sugar. fisting instilin and ha-CRP level, when compared to controls. There was no significant difference between RA subjects and controls for B-cell function assessed by Homeostasis Model Assessment (HOMA%B), insrdin sensitivity assessed by Homeostasis Model Assessment (HOMA%S) and insulin resistance (IR). Among RA subjects, CRP and IR level improved after treatment. No significant correlation was found between CRP and IR. CRP and HOMA%S. and CRP and HOMA%B. In Bangladeshi RA subject. insulin sensitivity has been found to be preserved. Insulin resistance is not a prondnent feature in Bangladeshi RA subjects and CRP does not have any correlations with insulin resistance in Bangladeshi RA subjects. The improvement of the chronic inflammatory condition induced by steroid treatment seems to be associated with improved IR status.

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Early Renal Dysfunction in Obese Patients with Insulin Resistance

Romanian Journal of Diabetes Nutrition and Metabolic Diseases ◽

10.2478/rjdnmd-2019-0027 ◽

2019 ◽

Vol 26 (3) ◽

pp. 261-265

Author(s):

Natalia Pertseva ◽

Mariia Rokutova

Keyword(s):

Insulin Resistance ◽

Renal Function ◽

Renal Dysfunction ◽

Filtration Rate ◽

Diagnostic Value ◽

Glomerular Hyperfiltration ◽

Model Assessment ◽

Homa Index ◽

Obese Patients ◽

Homeostasis Model Assessment

Abstract Background and aims. Obese individuals have insulin resistance status assessed in the present study by the HOMA index (“Homeostasis model assessment”). This prospective study assessed renal disorders in the insulin resistance in obese patients. Material and Methods. The study included 73 young obese patients. The assessment included the HOMA index before meal and parameters of renal function (glomerular filtration rate, albuminuria, β2-microglobulinuria). Results. In young obese, insulin-resistance patients, glomerular hyperfiltration and β2-microglobulinuria are found in 77.0 and 93.4% of cases respectively. The albuminuria is noted in some cases, which reduces diagnostic value. Conclusions. In young obese patients with insulin resistance, glomerular hyperfiltration and β2-microglobulinuria are main diagnostic markers of renal dysfunction.

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Magnesium intake, insulin resistance and markers of endothelial function among women

Public Health Nutrition ◽

10.1017/s1368980021001063 ◽

2021 ◽

pp. 1-9

Author(s):

Narges Ghorbani Bavani ◽

Parvane Saneei ◽

Ammar Hassanzadeh Keshteli ◽

Ahmadreza Yazdannik ◽

Ebrahim Falahi ◽

...

Keyword(s):

Insulin Resistance ◽

Insulin Sensitivity ◽

Endothelial Dysfunction ◽

Endothelial Function ◽

Adhesion Molecule ◽

Cell Function ◽

Intercellular Adhesion Molecule ◽

Model Assessment ◽

Serum Concentrations ◽

Homeostasis Model Assessment

Abstract Objective: We investigated the association of dietary Mg intake with insulin resistance and markers of endothelial function among Iranian women. Design: A cross-sectional study. Setting: Usual dietary intakes were assessed using a validated FFQ. Dietary Mg intake was calculated by summing up the amount of Mg in all foods. A fasting blood sample was taken to measure serum concentrations of glycemic indices (fasting plasma glucose and insulin) and endothelial function markers (E-selectin, soluble intercellular adhesion molecule-1 (sICAM-1) and soluble vascular cell adhesion molecule-1). Insulin resistance and sensitivity were estimated using the Homeostasis Model Assessment-Insulin Resistance (HOMA-IR), Homeostasis Model Assessment β-cell function (HOMA-β) and quantitative insulin sensitivity check index (QUICKI). Participants: Iranian female nurses (n 345) selected by a multistage cluster random sampling method. Results: The Mg intake across energy-adjusted quartiles was 205 (se 7), 221·4 (se 8), 254·3 (se 7) and 355·2 (se 9) mg/d, respectively. After adjustments for potential confounders, QUICKI level was significantly different across quartiles of Mg intake (Q1: 0·34 (se 0·02), Q2: 0·36 (se 0·01), Q3: 0·40 (se 0·01), and Q4: 0·39 (se 0·02), P = 0·02); however, this association disappeared after considering markers of endothelial function, indicating that this relation might be mediated through endothelial dysfunction. After controlling for all potential confounders, Mg intake was inversely, but not significantly, associated with serum concentrations of sICAM (Q1: 239 (se 17), Q2: 214 (se 12), Q3: 196 (se 12), and Q4: 195 (se 17), P = 0·29). There was no other significant association between dietary Mg intake and other indicators of glucose homoeostasis or endothelial markers. Conclusions: Higher dietary Mg intake was associated with better insulin sensitivity in Iranian females. This linkage was mediated through reduced endothelial dysfunction.

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Surrogate Indexes of Insulin Resistance in Dairy Goats: Transitional Variation in Subclinical Hyperketonemia

Veterinary Sciences ◽

10.3390/vetsci8060102 ◽

2021 ◽

Vol 8 (6) ◽

pp. 102

Author(s):

Siqi Liu ◽

Yezi Kong ◽

Jing Wen ◽

Yan Huang ◽

Yaoquan Liu ◽

...

Keyword(s):

Insulin Resistance ◽

Transition Period ◽

Jugular Vein ◽

Metabolic Parameters ◽

Model Assessment ◽

Early Lactation ◽

Homeostasis Model Assessment ◽

Dairy Goats ◽

Blood Samples ◽

Normal Glucose

Background: Dairy goats are highly susceptible to subclinical hyperketonemia (SCHK) during the transition period. This study aimed to compare the variation in metabolic parameters and surrogate indexes of insulin resistance (sIR) between goats with SCHK and clinically healthy (HEAL) goats during the transition period. Methods: Twenty Guanzhong dairy goats were assorted to HEAL (n = 10) and SCHK (n = 10) groups according to the blood β-hydroxybutyrate (BHBA) concentrations. The blood samples were taken from the jugular vein of each goat at −3, −2, −1, 0 (partum), +1, +2, and +3 weeks relative to kidding to analyses GLU and INS. The sIR was calculated from blood metabolic parameters. Results: Compared with the HEAL goats, the insulin concentrations were significantly higher in SCHK goats during the first three weeks postpartum. The QUICKI, revised QUICKI (RQUICKI), and RQUICKIBHBA were significantly lower in goats with SCHK at 1 week postpartum, while the homeostasis model assessment-IR (HOMA-IR) was significantly higher. Conclusion: Goats with SCHK made more efforts through elevated insulin levels at early lactation than HEAL goats, thereby maintaining the normal glucose concentrations.

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

Cadernos de Saúde Pública ◽

10.1590/0102-311x00072120 ◽

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.

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