scholarly journals Distribution of Fasting Plasma Insulin, Free Fatty Acids, and Glucose Concentrations and of Homeostasis Model Assessment of Insulin Resistance in a Representative Sample of Quebec Children and Adolescents

2003 ◽  
Vol 49 (4) ◽  
pp. 644-649 ◽  
Author(s):  
Pierre Allard ◽  
Edgard E Delvin ◽  
Gilles Paradis ◽  
James A Hanley ◽  
Jennifer O’Loughlin ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Fatty Acids ◽  
Free Fatty Acids ◽  
Representative Sample ◽  
Plasma Insulin ◽  
Model Assessment ◽  
Fasting Insulin ◽  
Homeostasis Model Assessment ◽  
Fasting Plasma ◽  
Fasting Plasma Insulin

Abstract Background: Plasma fasting insulin and the homeostasis model assessment of insulin resistance (HOMA-IR) are markers of IR, which, at least in part, mediates the relation of obesity to increased cardiovascular risk. Increased free fatty acids (FFAs) may be involved in the pathogenesis of IR. Our objectives were to describe the distributions of fasting plasma insulin, glucose, and FFAs and HOMA-IR in youth and to assess the relationship between FFAs and markers of IR. Methods: Fasting plasma insulin, glucose, and FFAs were measured in a representative sample of Quebec youth comprising 2244 individuals 9, 13, and 16 years of age. Results: In all age and sex groups, glucose exhibited remarkably tight distributions (median CV, 7.1%) in contrast to insulin, HOMA-IR, and FFAs (median CVs, 52%, 54% and 45%, respectively). For every percentile examined, 9-year-olds had lower insulin concentrations and HOMA-IR values than 13- and 16-year-olds. We observed strong correlations between insulin concentrations and HOMA-IR values, as well as close similarity in their rankings of individuals. The mean concentrations of glucose were higher in our population than in other Caucasian pediatric populations. No positive correlations were detected between FFAs and markers of IR. Conclusions: We report some of the first data on the distributions of fasting plasma insulin, HOMA-IR, and FFAs from a representative sample of youth. HOMA-IR does not appear more informative than fasting insulin as a marker of IR. Our findings on higher mean glucose concentrations in this population require confirmation in other representative samples of youth to assess whether the North American distribution of glucose concentrations is shifting positively.

scholarly journals Insulin Resistance in Patients with Essential Hypertension Using Homeostatic Model Assessment

2018 ◽  
Vol 3 (3) ◽  
pp. 104
Author(s):  
Mohammad Hossein Rasoulzadegan ◽  
Hamid Reza Soltani ◽  
Masoud Rahmanian ◽  
Nakisa Amid
Keyword(s):  
Insulin Resistance ◽  
Blood Pressure ◽  
Plasma Insulin ◽  
Density Lipoprotein ◽  
Uncontrolled Hypertension ◽  
Model Assessment ◽  
Fasting Plasma ◽  
Homeostatic Model Assessment ◽  
Fasting Plasma Insulin ◽  
Homeostatic Model

Introduction: Insulin resistance has a strong relationship with the incidence of type II diabetes. It also has a direct relationship with other risk factors of diabetes, which together are known as metabolic syndrome. The aim of this study was to investigate the relationship between insulin resistance and hypertension.Materials and Methods: In this historical cohort study, 90 patients were divided into three different groups: those without hypertension, those with controlled hypertension, and those with uncontrolled hypertension. Systolic and diastolic blood pressure, body mass index, and laboratory test results such as cholesterol, triglycerides, low- density lipoprotein, high-density lipoprotein, fasting plasma glucose, and fasting plasma insulin were compared among the three groups. Data were analyzed with t-tests and the analysis of variance test, which were performed using statistical package for the social sciences version 20 software.Results: Age and sex were the same among the three groups; however, BMI, systolic blood pressure, and diastolic blood pressure in the uncontrolled-hypertension group were higher than in the controlled-hypertension and without-hypertension groups (P<0.05). Lipid profile (P<0.05), creatinine (P=0.77), and uric acid (P=0.233) were not significantly different among the groups, although fasting plasma insulin (P=0.012) and homeostatic model assessment of insulin resistance (P=0.038) were significantly higher in the uncontrolled-hypertension group than in the other groups.Conclusion: Homeostasis model assessment of insulin resistance in patients with uncontrolled hypertension was higher than in patients with controlled hypertension and those without hypertension. Therefore, homeostatic model assessment of insulin resistance can be used as a predictive clinical test for the early diagnosis of diabetes in patients with uncontrolled hypertension.

scholarly journals Potential triggers of atrial fibrillation in type 2 diabetes mellitus

2021 ◽  
Author(s):  
Zulfiya Mirzarakhimova ◽  
Bakhodir Narziev ◽  
Akmal Yakubov ◽  
Oybek Salaev ◽  
Ramesh Hamraev ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Atrial Fibrillation ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Plasma Insulin ◽  
Model Assessment ◽  
Fasting Plasma ◽  
Fasting Plasma Insulin

Abstract Introduction. Atrial fibrillation is an irregular heartbeat that accelerates to form blood clots in the chambers of the heart and leads to stroke, heart failure, and other cardiovascular complications. Diabetes mellitus itself has been identified as a risk factor for atrial fibrillation, but the association between them is unclear. Material and methods. We analyzed 70 patients with type 2 insulin non-dependent diabetes mellitus. All patients were examined in parallel continuous glucose (CGM) and ECG for 14 days. The study population divided into documented atrial fibrillation (AF group, n = 16) and without atrial fibrillation (non-AF group, n = 54) groups. We assessed the relationship between hypoglycemia, fasting plasma insulin, insulin resistance using the homeostatic model assessment (HOMA-IR) equation, and the incidence of atrial fibrillation. Results. We found a total of 46 episodes of documented atrial fibrillation (AF be defined as an arrhythmia lasting ≥ 30 seconds) lasted on the whole 596.9 minute, which was the most significant by the number (2.87 ± 2.05 per patient, p < 0.0001) or the time (31.31 ± 16.57 min per patient, p < 0.0001). We also compared the incident rate of different types of atrial premature complexes between two groups. We found a maximum of 642.6 ± 567.2 single PACs per patient in the AF group, compared to 84.6 ± 87.9, p = 0.002. Despite this, there were significant differences by the following parameters: couplet PACs (p = 0.0015) and triplet or > 3 PACs (p = 0.0007). Over 14 days, a total of 263 hypoglycemic episodes or 5135 min hypoglycemic time were detected, the average number and time of hypoglycemic episodes were 8.0 ± 4.94 per person and 137.0 ± 63.17 min in AF group, and 2.5 ± 4.64 per person (p = 0.0001), 54.5 ± 67.3 min (p = 0.004) in the non-AF group. There was a statistically significant (p < 0.0001) association between FPI and incident AF, more exactly, the mean level of FPI was 31 ± 6.1 mlU/L in the AF group, whereas was 11.3 ± 4.07 in the non-AF group. When we measured the HOMA-IR index by using the homeostasis model, we found significant differences between AF and non-AF groups (11.2 ± 3.88 mmol/l vs. 4.3 ± 1.66 mmol/l, p < 0.0001). Conclusion. The parallel recording of continuous glucose and ECG are necessary to evaluate hypoglycemia-related atrial fibrillation in type 2 diabetes mellitus. Elevated fasting plasma insulin, as well as insulin resistance, are important predictors of atrial fibrillation development, but it needs further studies.

scholarly journals Plasma resistin, adiponectin and leptin levels in lean and obese subjects: correlations with insulin resistance

2003 ◽  
Vol 149 (4) ◽  
pp. 331-335 ◽  
Author(s):  
JV Silha ◽  
M Krsek ◽  
JV Skrha ◽  
P Sucharda ◽  
BL Nyomba ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Mass Index ◽  
Adipose Tissue ◽  
Statistical Significance ◽  
Model Assessment ◽  
Fasting Insulin ◽  
Homeostasis Model Assessment ◽  
Glucose Levels ◽  
Obese Subjects ◽  
The Relationship

OBJECTIVE: Adipose tIssue regulates insulin sensitivity via the circulating adipocytokines, leptin, resistin and adiponectin. The objective of this study was to compare the levels of resistin, adiponectin and leptin in lean and obese subjects and determine the relationship between circulating adipocytokines and insulin resistance. METHODS: We examined plasma levels of resistin, adiponectin and leptin in 17 lean subjects with a mean body mass index (BMI) of approximately 23 and 34 non-diabetic obese individuals with a mean BMI approximately 33. Insulin resistance was assessed using the homeostasis model assessment ratio (HOMA-R) formula derived from fasting insulin and glucose levels. RESULTS: Resistin levels were not significantly different between the two groups but were significantly higher in women compared with men, 35.4+/-6.5 (s.e.) vs 15.4+/-2.9 microg/L, P<0.01. Resistin did not correlate with BMI but did significantly correlate with HOMA-R, P<0.01, and this correlation remained significant after adjustment for gender and BMI. Adiponectin levels were significantly lower in obese compared with lean subjects, P<0.005, and higher in women, P<0.001, but showed no significant correlation with HOMA-R. Leptin levels were significantly higher in obese subjects and women and correlated with HOMA-R and resistin. DISCUSSION: In this small group of patients we demonstrated that insulin resistance correlated most strongly with leptin levels. A significant correlation between resistin levels and insulin resistance was also observed. Although a similar trend was apparent for adiponectin, the correlation with insulin resistance did not achieve statistical significance.

scholarly journals Association of the plasma xanthine oxidoreductase activity with the metabolic parameters and vascular complications in patients with type 2 diabetes

2021 ◽  
Author(s):  
Tomoko Okuyama ◽  
Jun Shirakawa ◽  
Takashi Nakamura ◽  
Takayo Murase ◽  
Daisuke Miyashita ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Plasma Insulin ◽  
Surrogate Marker ◽  
Vascular Complications ◽  
The Body ◽  
Xanthine Oxidoreductase ◽  
Fasting Plasma ◽  
Fasting Plasma Insulin

Abstract Xanthine oxidoreductase (XOR) catalyzes the oxidation of hypoxanthine to xanthine, and of xanthine to uric acid. XOR also enhances the production of reactive oxygen species and causes endothelial dysfunction. In this study, we evaluated the association of XOR and its substrate with the vascular complications in 94 Japanese inpatients with type 2 diabetes (T2DM). The plasma XOR activity and plasma xanthine levels were positively correlated with the body mass index, aspartate aminotransferase (AST), alanine aminotransferase (ALT), γ-GTP, fasting plasma insulin, and the homeostasis model of assessment of insulin resistance (HOMA-IR), and negatively correlated with the high density lipoprotein cholesterol. The plasma XOR activity also showed a positive correlation with the serum triglyceride. Multivariate analyses identified AST, ALT, fasting plasma insulin and HOMA-IR as being independently associated with the plasma XOR activity. The plasma XOR activity negatively correlated with the duration of diabetes, and positively correlated with the coefficient of variation of the R-R interval and sensory nerve conduction velocity. Furthermore, the plasma XOR activity was significantly decreased in patients with coronary artery disease. Thus, the plasma XOR activity might be a surrogate marker for the development of vascular complications, as well as liver dysfunction and insulin resistance, in T2DM. Trial registration: This study is registered at the UMIN Clinical Trials Registry (UMIN000029970; https://www.umin.ac.jp/ctr/index-j.htm). The study was conducted from Nov 15, 2017.

scholarly journals Fasting insulin, insulin resistance, and risk of cardiovascular or all-cause mortality in non-diabetic adults: a meta-analysis

2017 ◽  
Vol 37 (5) ◽  
Author(s):  
Xiaohong Zhang ◽  
Jun Li ◽  
Shuiping Zheng ◽  
Qiuyun Luo ◽  
Chunmei Zhou ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Mortality Risk ◽  
Cardiovascular Mortality ◽  
Observational Studies ◽  
Meta Analysis ◽  
Model Assessment ◽  
Fasting Insulin ◽  
Homeostasis Model Assessment ◽  
Insulin Levels ◽  
All Cause Mortality

Studies on elevated fasting insulin or insulin resistance (IR) and cardiovascular or all-cause mortality risk in non-diabetic individuals have yielded conflicting results. This meta-analysis aimed to evaluate the association of elevated fasting insulin levels or IR as defined by homeostasis model assessment of IR (HOMA-IR) with cardiovascular or all-cause mortality in non-diabetic adults. We searched for relevant studies in PubMed and Emabse databases until November 2016. Only prospective observational studies investigating the association of elevated fasting insulin levels or HOMA-IR with cardiovascular or all-cause mortality risk in non-diabetic adults were included. Risk ratio (RR) with its 95% confidence intervals (CIs) was pooled for the highest compared with the lowest category of fasting insulin levels or HOMA-IR. Seven articles involving 26976 non-diabetic adults were included. The pooled, adjusted RR of all-cause mortality comparing the highest with the lowest category was 1.13 (95% CI: 1.00–1.27; P=0.058) for fasting insulin levels and 1.34 (95% CI: 1.11–1.62; P=0.002) for HOMA-IR, respectively. When comparing the highest with the lowest category, the pooled adjusted RR of cardiovascular mortality was 2.11 (95% CI: 1.01–4.41; P=0.048) for HOMA-IR in two studies and 1.40 (95% CI: 0.49–3.96; P=0.526) for fasting insulin levels in one study. IR as measured by HOMA-IR but not fasting insulin appears to be independently associated with greater risk of cardiovascular or all-cause mortality in non-diabetic adults. However, the association of fasting insulin and HOMA-IR with cardiovascular mortality may be unreliable due to the small number of articles included.

Sign in / Sign up

Export Citation Format

Share Document