Urine organic acids may be useful biomarkers for metabolic syndrome and its components in Korean adults

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Ji-Hee Haam ◽  
Yun Kyong Lee ◽  
Eunkyung Suh ◽  
Sang-Woon Choi ◽  
Hyejin Chun ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Organic Acid ◽  
High Performance ◽  
Logistic Models ◽  
Cross Sectional Study ◽  
Model Assessment ◽  
Cross Sectional ◽  
Urine Organic Acid ◽  
Acid Metabolites

Abstract Objectives Although metabolic syndrome (MetS) and its components are defined clinically, those with MetS may have various derangements in metabolic pathways. Thus, this study aimed to evaluate the traits of urine organic acid metabolites indicating the metabolic intermediates of the pathways in the subjects with MetS. Methods This cross-sectional study included 246 men and 283 women in a hospital health check-up setting. Urine organic acid metabolites were assayed via high-performance liquid chromatography–mass spectrometry analyses. A high level of each metabolite was defined as the fifth quintile of the distribution. Results The subjects with MetS had high levels of pyruvate, α-ketoglutarate, α-ketoisovalerate, α-ketoisocaproate, formiminoglutamate, and quinolinate (odds ratios from 1.915 to 2.809 in logistic models adjusted for age and sex). Among the metabolites, pyruvate, formiminoglutamate, and quinolinate were not independent of homeostatic model assessment of insulin resistance (HOMA2-IR). Several metabolites were associated with one or more components of MetS and HOMA2-IR. Conclusions Urine organic acid metabolites in MetS are characterized in altered carbohydrate and amino acid metabolism. MetS shared some traits in insulin resistance. These findings may promote the understanding of the pathophysiology of MetS.

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 Association between proinsulin, insulin, proinsulin/insulin ratio, and insulin resistance status with the metabolic syndrome

2007 ◽  
Vol 51 (7) ◽  
pp. 1128-1133 ◽  
Author(s):  
Ivana Pivatto ◽  
Patricia Bustos ◽  
Hugo Amigo ◽  
Ana Maria Acosta ◽  
Antonio Arteaga
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Risk Factor ◽  
Resistance Index ◽  
Cross Sectional Study ◽  
Blood Levels ◽  
Model Assessment ◽  
Cross Sectional ◽  
Predictive Values ◽  
The Metabolic Syndrome

The Metabolic Syndrome (MS) constitutes an independent risk factor of cardiovascular disease. There is evidence that proinsulin blood levels and the proinsulin/insulin ratio are associated to the MS. The purpose of this study was to compare proinsulin and insulin, insulin resistance index, and the proinsulin/insulin ratio as predictors of MS. This is a cross-sectional study involving 440 men and 556 women with a mean age of 24 years. Diagnosis of MS was made according to the National Cholesterol Education Program Adult Treatment Panel III. Blood levels of insulin and proinsulin were measured, and the insulin resistance status was estimated using the homeostatic model assessment (HOMA-IR). The prevalence of MS was 10.1%. HOMA-IR was the best MS risk factor for both women and men (OR = 2.04; 95% CI: 1.68-2.48 and 1.09; 95% CI: 1.05-1.13, respectively). HOMA-IR presented the best positive predictive value for MS: 22% and 36% for men and women, respectively, and was the best MS indicator. The proinsulin/insulin ratio did not show significant association with MS. HOMA-IR, proinsulin, and insulin presented good negative predictive values for both genders that could be used to identify an at-risk population.

scholarly journals Caffeine and Caffeine Metabolites in Relation to Insulin Resistance and Beta Cell Function in U.S. Adults

Nutrients ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1783
Author(s):  
Sohyae Lee ◽  
Jin-young Min ◽  
Kyoung-bok Min
Keyword(s):  
Insulin Resistance ◽  
Beta Cell ◽  
Beta Cell Function ◽  
High Performance ◽  
Cell Function ◽  
Cross Sectional Study ◽  
Caffeine Intake ◽  
Model Assessment ◽  
Cross Sectional ◽  
Glucose Levels

The relationship between caffeine and insulin resistance (IR) has been assessed only in terms of caffeine intake, and the association between caffeine and beta cell function (BCF) remains unclear. This study examines the association between urinary caffeine and its metabolites, IR, and BCF in nondiabetic, noninstitutionalized US adults in order to account for the inter-individual differences in caffeine metabolism. Data on urinary caffeine and its metabolites, IR and BCF from adults aged 20 years and older who participated in the 2009–2010 and 2011–2012 National Health and Nutrition Examination Surveys were analyzed (n for caffeine = 994). IR and BCF were assessed using homeostatic model assessment (HOMA) and urinary caffeine and its metabolites were measured using high-performance liquid chromatography-electrospray ionization-tandem quadrupole mass spectrometry. After adjusting for all covariates, increases in urinary 1,3-DMU, 1,7-DMU, 1,3,7-TMU, theophylline, paraxanthine, caffeine, and AAMU were significantly associated with increased HOMA-IR and HOMA-β (HOMA of insulin resistance and beta cell function). Compared with individuals in the lowest quartile of urinary 1,3-DMU, 1,7-DMU, 1,3,7-TMU, theophylline, paraxanthine, caffeine, and AAMU, the regression coefficients for HOMA-IR and HOMA-β were significantly higher among those in the highest quartile. After stratification by prediabetes status, HOMA-IR and HOMA-β showed significant positive associations with urinary caffeine and its metabolites among subjects with normal fasting plasma glucose levels. Our cross-sectional study showed that caffeine and its metabolites were positively related to IR and BCF.

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 Insulin Resistance and Its Association with Metabolic Syndrome in Korean Children

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Jinkyung Cho ◽  
Haeryun Hong ◽  
Soohyun Park ◽  
Shinuk Kim ◽  
Hyunsik Kang
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Body Fat ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Healthy Children ◽  
Model Assessment ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Korean Children

Background. This study investigated the association between insulin resistance (IR) and metabolic syndrome (MetS) in children. Methods. A cross-sectional study involving 1036 healthy children aged between 7 and 13 years was conducted. Homeostasis model assessment of insulin resistance (HOMA-IR) was calculated as an index of IR. Participants were classified according to the HOMA-IR quartiles. Results. Incremental, linear trends were found in age (p<0.001), body mass index (BMI) (p<0.001), body fat (p<0.001), waist circumference (p<0.001), resting blood pressures (BP) (p<0.001), triglycerides (TG) (p<0.001), total cholesterol (TC) (p<0.001), high density lipoprotein-cholesterol (HDL-C) (p<0.001), FBG (p<0.001), and insulin (<0.001) according to incremental HOMA-IR categories (from the 1st to 4th quartile). Compared with children in the 1st HOMA-IR quartile, children in the 4th HOMA-IR quartile had significantly higher odd ratios (ORs) of abnormalities in systolic (p=0.051) and diastolic BP (p=0.005), FBG (p<0.001), TG (p<0.001), TC (p=0.016), and HDL-C (p=0.006) even after adjustments for age, gender, BMI, and body fat percentage. Children in the 3rd HOMA-IR quartile had significant abnormalities in FBG (p<0.001), TG (p=0.001), and HDL-C (p=0.010) even after adjustments for the covariates. Conclusion. The current findings suggest that IR is significantly associated with the clustering of MetS risk factors in children in Korea.

Investigating the relationship between insulin resistance and adipose tissue in a randomized Tehrani population

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jalaledin Mirzay Razzaz ◽  
Hossein Moameri ◽  
Zahra Akbarzadeh ◽  
Mohammad Ariya ◽  
Seyed ali Hosseini ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Adipose Tissue ◽  
Body Fat ◽  
Odds Ratio ◽  
Cross Sectional Study ◽  
Model Assessment ◽  
Fasting Insulin ◽  
Cross Sectional ◽  
Body Fat Percent ◽  
The Relationship

Abstract Objectives Insulin resistance is the most common metabolic change associated with obesity. The present study aimed to investigate the relationship between insulin resistance and body composition especially adipose tissue in a randomized Tehrani population. Methods This study used data of 2,160 individuals registered in a cross-sectional study on were randomly selected from among subjects who were referred to nutrition counseling clinic in Tehran, from April 2016 to September 2017. Insulin resistance was calculated by homeostasis model assessment formula. The odds ratio (95% CI) was calculated using logistic regression models. Results The mean age of the men was 39 (±10) and women were 41 (±11) (the age ranged from 20 to 50 years). The risk of increased HOMA-IR was 1.03 (95% CI: 1.01–1.04) for an increase in one percent of Body fat, and 1.03 (95% CI: 1.00–1.05) for an increase in one percent of Trunk fat. Moreover, the odds ratio of FBS for an increase in one unit of Body fat percent and Trunk fat percent increased by 1.05 (adjusted odds ratio [95% CI: 1.03, 1.06]) and 1.05 (95% CI: 1.02, 1.08). Also, the risk of increased Fasting Insulin was 1.05 (95% CI: 1.03–1.07) for an increase in one unit of Body fat percent, and 1.05 (95% CI: 1.02–1.08) for an increase in one unit of Trunk fat percent. Conclusions The findings of the present study showed that there was a significant relationship between HOMA-IR, Fasting blood sugar, Fasting Insulin, and 2 h Insulin with percent of Body fat, percent of Trunk fat.

scholarly journals Inverse association between soya food consumption and insulin resistance in Japanese adults

2014 ◽  
Vol 18 (11) ◽  
pp. 2031-2040 ◽  
Author(s):  
Mariko Nakamoto ◽  
Hirokazu Uemura ◽  
Tohru Sakai ◽  
Sakurako Katsuura-Kamano ◽  
Miwa Yamaguchi ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Rural Communities ◽  
Food Consumption ◽  
Dose Response ◽  
Cross Sectional Study ◽  
Soya Protein ◽  
Model Assessment ◽  
Inverse Association ◽  
Cross Sectional ◽  
Soya Product

AbstractObjectiveThe purpose of the present study was to examine the association between soya food consumption and insulin resistance using baseline data of the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study in Tokushima, Japan.DesignThis cross-sectional study included 1274 subjects, aged 34–70 years at baseline, living in Tokushima Prefecture between 2008 and 2013. Fasting blood samples were collected and information on lifestyle characteristics including soya food intake and medical history were obtained using a structured self-administered questionnaire. The homeostasis model assessment of insulin resistance (HOMA-IR) was measured and those with HOMA-IR≥2·5 were defined as having insulin resistance. Multiple logistic regression models were used to analyse the association between soya product intake and the prevalence of insulin resistance.SettingRural communities located in Tokushima Prefecture, Japan, between 2008 and 2013.SubjectsA total of 1148 adults (565 men and 583 women), aged 34–70 years.ResultsThe frequency of intake of miso soup, total non-fried soya products and total soya products showed significant inverse dose–response relationships with insulin resistance, after adjustments for potential confounders. When soya product intake was calculated as soya protein and isoflavone, the odds ratios of insulin resistance decreased significantly as the estimated intake of soya protein increased. Furthermore, significant inverse dose–response relationships were observed for total non-fried soya products and total soya products, after adjustment for total vegetable or total fibre consumption.ConclusionsThe present results indicate that the intake of soya products and non-fried soya products is associated with reduced insulin resistance in the Japanese population.

scholarly journals Interleukin-6 and insulin resistance in obese adolescents

2016 ◽  
Vol 53 (5) ◽  
pp. 268
Author(s):  
Raynald Takumansang ◽  
Sarah M. Warouw ◽  
Hesti Lestari
Keyword(s):  
Insulin Resistance ◽  
Interleukin 6 ◽  
Cross Sectional Study ◽  
Normal Body Mass Index ◽  
Model Assessment ◽  
Tissue Mass ◽  
Cross Sectional ◽  
Obese Adolescents ◽  
Glucose Levels ◽  
The Mean

Background Obesity has become a rapidly growing epidemic worldwide, increasing the risk of morbidity and mortality in adolescents. Obesity is due to an expansion of adipose tissue mass, which is an important source of cytokines and contributes to an increase in pro-inflammatory cytokines, such as interleukin-6 (IL-6). Interleukin-6 is significantly increased in obesity and may lead to a state of insulin resistance.Objective To assess for a correlation between IL-6 levels and insulin resistance in obese adolescentsMethods We conducted a cross-sectional study from January to April 2012 in Manado, North Sulawesi. Subjects were either obese or normal body mass index (BMI) teens aged 13-18 years. Data collected were anthropometric status, BMI, and blood specimens for fasting plasma glucose levels, fasting insulin levels, and IL-6 levels. Insulin resistance was expressed as homeostatic model assessment of insulin resistance (HOMA-IR) level >2.77. Data was analyzed by Pearson’s correlation and linear regression tests to assess for a possible correlation between IL-6 levels and insulin resistance.Results The mean BMI in the obese group was 31.21 (SD 3.61) kg/m2 while the mean BMI in the normal group was 19.52 (SD 2.38) kg/m2. There was no significant association between IL-6 and the occurrence of insulin resistance (P=0.309). The log regression coefficient value of IL-6 was negative (b = -0.329).Conclusion There is no correlation between IL-6 levels and incidence of insulin resistance in obese adolescents.

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