scholarly journals Accuracy of insulin resistance indices for metabolic syndrome: a cross-sectional study in adults

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Luciana Pavan Antoniolli ◽  
Bárbara Limberger Nedel ◽  
Tassia Cividanes Pazinato ◽  
Leonardo de Andrade Mesquita ◽  
Fernando Gerchman
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Insulin resistance in PLHIV on HAART and HAART naïve PLHIV: A Cross-sectional Study

2020 ◽  
pp. 1-3
Author(s):  
Prabir Kumar Ganguly ◽  
Niladri Das
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Antiretroviral Therapy ◽  
Cross Sectional Study ◽  
Metabolic Effects ◽  
People Living With Hiv ◽  
Model Assessment ◽  
Sectional Study ◽  
Cross Sectional ◽  
Group I

ABSTRACT HAART (Highly active antiretroviral therapy) has transformed a fatal disease to a chronic, manageable disease. But long term toxicities are emerging after prolonged exposure to antiretroviral therapy(ART). Adverse metabolic effects like dyslipidemia, increased blood pressure, and insulin resistance(IR) have been attributed to HAART. Therefore, the use of HAART raises concerns regarding metabolic disorders and cardiovascular risk in HIV(Human immunodeficiency virus) infected patients. Objective: To determine the prevalence of insulin resistance in a cohort of HIV infected patients on HAART as compared to HAART naïve PLHIV(People living with HIV) Methods: A cross sectional study includes 53 subjects, out of which 26 were PLHIV on ART –Group I, 27 were ART naïve PLHIV-Group II was conducted. Insulin resistance was determined by homeostasis model assessment (HOMA-IR) mathematical model. Statistical analysis was performed to assess the association between demographic, clinical characteristics, laboratory results and insulin resistance. Results: 69.5 % PLHIV on HAART showed IR, as compared to 37 % of ART naïve PLHIV (p= 0.01). MetS(Metabolic Syndrome) was found in 53.8% among PLHIV on ART , compared to 11.1% among ART naïve PLHIV(p= 0.001) .In the multivariate analysis, presence of metabolic syndrome was found to be directly associated with insulin resistance.

scholarly journals The Higher Plasma Malondialdehyde Concentrations Are Determined by Metabolic Syndrome-Related Glucolipotoxicity

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Fernando Moreto ◽  
Erick P. de Oliveira ◽  
Rodrigo M. Manda ◽  
Roberto C. Burini
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Free Living ◽  
Cross Sectional ◽  
Sugar Intake ◽  
Dietary Sugar ◽  
Plasma Malondialdehyde

This study aimed to elucidate the determinants of higher plasma malondialdehyde (MDA) in free-living adults. In a cross-sectional study we evaluated 148 free-living subjects (54 ± 11 years, 78% women) at high risk for or with metabolic syndrome (MetS). They were assessed by anthropometry and body composition, dietary intake, and clinical and laboratorial analysis. The analysis of plasma MDA was performed by HPLC, and concentration values were used to provide four groups according to percentile distribution. Subjects with higher plasma MDA showed higher prevalence of MetS and higher values of waist circumference (WC), glucose, triglycerides (TG),γ-glutamyltransferase (γ-GT), and higher energy intake. Multiadjusted logistic regression analysis identified as determinants of higher plasma MDA the altered values of WC andγ-GT followed by hypertriglyceridemia, hyperglycemia, insulin resistance, higher dietary sugar-intake, and presence of MetS. In conclusion, the glucolipotoxic state predisposed by the presence of MetS seems to be the major determinant of higher plasma MDA concentrations.

scholarly journals C1q/TNF-Related Protein5 (CTRP5) as a Biomarker to Predict Metabolic Syndrome and Each of Its Components

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Feiyu Jiang ◽  
Min Yang ◽  
Xili Zhao ◽  
Rui Liu ◽  
Gangyi Yang ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Multiple Stepwise Regression Analysis ◽  
Glucose And Lipid Metabolism ◽  
Study Population ◽  
The Relationship

Objective. C1q/TNF-related protein5 (CTRP5) is a member of the C1q/tumor necrosis factor α- (TNF-α-) related protein family and has been reported to be associated with the regulation of glucose and lipid metabolism. However, the clinical association between CTRP5 and metabolic syndrome (MetS) has not been reported. The aim of the current study is to investigate the association between CTRP5 and MetS by a cross-sectional study. Methods. We performed a cross-sectional study in a Chinese population including 89 controls and 88 MetS individuals. Serum CTRP5 concentrations were determined by ELISA. The relationship between circulating CTRP5 and MetS and insulin resistance (IR) was assessed by Spearman’s correlation and multiple stepwise regression analysis. Results. Circulating CTRP5 concentrations were markedly decreased in MetS individuals relative to normal adults. Overweight/obese individuals (BMI ≥ 25 kg/m2) showed a lower serum CTRP5 level than lean subjects (BMI < 25 kg/m2) in the study population (124.1 (99.12–147.37) vs. 103.9 (79.15–124.25) μg/L; P<0.01). Circulating CTRP5 was found to be correlated negatively with BMI, FAT%, FBG, WHR, SBP, HbA1c, TG, 2-hour blood glucose after glucose overload (2-hOGTT), FIns, and HOMA-IR and positively with HDL-C (P<0.05 or P<0.01). Binary logistic regression revealed that serum CTRP5 levels were associated with MetS. In addition, serum CTRP5 levels gradually decreased with the increase in MetS components. Conclusions. Circulating CTRP5 is relative to the elevated risk of MetS in humans and may be in part through the effect of insulin resistance. This trial is registered with ChiCTR-OCS-13003185.

scholarly journals Association of Anti-TPO Antibodies with Insulin Resistance in Patients of Hypothyroidism with Metabolic Syndrome: A Cross-sectional Study

2020 ◽  
Author(s):  
Amit Jain ◽  
Sagar Dholariya ◽  
Mirza Masroor ◽  
P Lali ◽  
L Chandra ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Subclinical Hypothyroidism ◽  
Linear Regression Analysis ◽  
Cross Sectional Study ◽  
Thyroid Peroxidase ◽  
Multivariate Linear Regression Analysis ◽  
Model Assessment ◽  
Sectional Study ◽  
Cross Sectional

Introduction: Hypothyroidism and Metabolic Syndrome (MetS) are associated with insulin resistance. Exact reason for development of insulin resistance in hypothyroidism is still unclear. Aim: To determine the association between Anti-Thyroid Peroxidase Antibodies (Anti-TPO Abs) and Thyroid Stimulating Hormone (TSH) with components of MetS, Fasting Insulin (FSI) and Homeostatic Model Assessment Index for Insulin Resistance (HOMA-IR). Materials and Methods: Total 118 subjects of hypothyroidism were included in this cross-sectional study. The diagnosis of MetS was made based on National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) criteria. Independent association of components of MetS, FSI and HOMA-IR with TSH and anti-TPO Abs was analysed by multivariate linear regression analysis. Results: MetS was more prevalent in subclinical hyperthyroidism (53.0%) compared to overt hypothyroidism (49.3%). Serum anti-TPO Abs level was significantly high in MetS group compared to non-MetS group in both overt (200.0±170.2 and 122.8±98.9, p=0.02*) and subclinical (184.9±142.9 and 114.5±90.9, p=0.04*) hyperthyroidism. Waist Circumference (WC), Fasting Plasma Glucose (FPG), FSI and HOMA-IR were independently associated with anti-TPO Abs in both overt and subclinical hypothyroidism. Anti-TPO was also increased significantly in linear trend along with increased in the number of MetS components in both overt and subclinical hypothyroidism. Conclusion: MetS is highly prevalent in hypothyroidism and anti-TPO Abs rather than TSH and is more associated with insulin resistance in patients of hypothyroidism with MetS.

scholarly journals Reduced Serum Phosphorus Levels Were Associated with Metabolic Syndrome in Men But Not in Women: A Cross-Sectional Study among the Japanese Population

2017 ◽  
Vol 71 (3-4) ◽  
pp. 150-156 ◽  
Author(s):  
Masanori Shimodaira ◽  
Shinji Okaniwa ◽  
Tomohiro Nakayama
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Serum Phosphorus ◽  
Sectional Study ◽  
Cross Sectional ◽  
Men And Women ◽  
Gender Specific ◽  
Phosphorus Levels

Background: Reduced serum phosphorus (SP) levels are reported to be associated with insulin resistance and metabolic syndrome (MetS). However, there have been a few gender-specific studies although SP levels are substantially different between men and women. Methods: This is a cross-sectional study. A total of 16,041 subjects (9,076 men and 6,965 women) were analyzed. The subjects were divided into 3 groups of gender-specific tertiles based on phosphorus levels: the lowest (T1), middle (T2), and the highest (T3). Results: SP levels were significantly lower in subjects with MetS than in those without MetS in men but not in women. Waist circumference and fasting plasma glucose were negatively and high-density lipoprotein cholesterol was positively correlated with SP levels both in men and women. Blood pressure (BP) and triglycerides (TG) were negatively correlated with SP levels in men, while they were positively correlated with SP levels in women. Lower SP levels were associated with the prevalence of MetS in men (T1; 19.9%, T2; 16.9%, and T3; 14.3%; p < 0.001) but not in women (T1; 14.1%, T2; 16.6%, and T3; 15.3%; p = 0.282). Conclusion: BP and TG were unexpectedly positively correlated with SP levels in women. Reduced SP levels were associated with MetS in men but not in women.

Metabolic syndrome, insulin resistance, and periodontitis: a cross-sectional study in a middle-aged French population

2010 ◽  
Vol 37 (7) ◽  
pp. 601-608 ◽  
Author(s):  
Catherine Benguigui ◽  
Vanina Bongard ◽  
Jean-Bernard Ruidavets ◽  
Bernard Chamontin ◽  
Michel Sixou ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Cross Sectional Study ◽  
French Population ◽  
Sectional Study ◽  
Middle Aged ◽  
Cross Sectional
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