scholarly journals Estimation of serum insulin, Homeostasis model assessment-insulin resistance and C-peptide can help identify possible cardiovascular disease risk in thyroid disorder patients

2012 ◽  
Vol 16 (7) ◽  
pp. 97
Author(s):  
Purvi Purohit
Keyword(s):  
Insulin Resistance ◽  
Cardiovascular Disease ◽  
Disease Risk ◽  
Serum Insulin ◽  
Cardiovascular Disease Risk ◽  
Model Assessment ◽  
Thyroid Disorder ◽  
Homeostasis Model Assessment ◽  
C Peptide ◽  
Insulin Homeostasis

scholarly journals The Association between Insulin Resistance and Cardiovascular Disease Risk: A Community-Based Cross-Sectional Study among Taiwanese People Aged over 50 Years

2020 ◽  
Vol 17 (19) ◽  
pp. 7195
Author(s):  
Mei-Chun Lu ◽  
Wei-Ching Fang ◽  
Wen-Cheng Li ◽  
Wei-Chung Yeh ◽  
Ying-Hua Shieh ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Cardiovascular Disease ◽  
Risk Model ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Model Assessment ◽  
Cvd Risk ◽  
Community Based ◽  
Cross Sectional ◽  
Study Results

Background and Aims: Previous studies have implied that insulin resistance (IR) could represent a major underlying abnormality leading to cardiovascular disease (CVD). The aim of this study was to evaluate the relationships between IR (estimated by the homeostasis model assessment of IR (HOMA-IR) index) and CVD risk among middle-aged and elderly Taiwanese individuals. Methods: In this cross-sectional, community-based study, a total of 320 participants were interviewed to collect demographical parameters and blood samples. The recruited participants were divided into tertiles according to their levels of HOMA-IR. The Framingham risk score (FRS) was calculated according to the 2008 general CVD risk model from the Framingham Heart Study. Results: The HOMA-IR index was significantly correlated with the FRS, with a Pearson’s coefficient of 0.22. In the multiple logistic regression model, a higher HOMA-IR level was significantly associated with a high FRS (FRS ≥ 20%) (highest tertile vs. lowest tertile of HOMA-IR, crude OR = 3.69; 95% CI = 1.79–7.62), even after adjusting for smoking, fasting plasma glucose (FPG), and systolic blood pressure (SBP) (highest tertile vs. lowest tertile of HOMA-IR, adjusted OR = 11.51; 95% CI = 2.55–51.94). The area under the receiver operating characteristic curve for the HOMA-IR index as the predictor of high FRS was 0.627, and the optimal HOMA-IR cutoff value was 1.215 (sensitivity = 83.6%, specificity = 42.9%). Conclusions: We considered that HOMA-IR is an independent factor but that it cannot be used solely for evaluating the CVD risk due to the low AUC value. Further prospective cohort studies are warranted to better assess the relationship between CVD risk and insulin resistance.

Differential DNA Methylation and Cardiometabolic Risk in African American Mother-Adolescent Dyads

2021 ◽  
pp. 109980042110390
Author(s):  
Amanda Elswick Gentry ◽  
Jo Robins ◽  
Mat Makowski ◽  
Wendy Kliewer
Keyword(s):  
Insulin Resistance ◽  
Cardiovascular Disease ◽  
Dna Methylation ◽  
African American ◽  
African Americans ◽  
Waist Circumference ◽  
Low Income ◽  
Cardiometabolic Risk ◽  
Disease Risk ◽  
Cardiovascular Disease Risk

Background: Cardiovascular disease disproportionately affects African Americans as the leading cause of morbidity and mortality. Among African Americans, compared to other racial groups, cardiovascular disease onset occurs at an earlier age due to a higher prevalence of cardiometabolic risk factors, particularly obesity, hypertension and type 2 diabetes. Emerging evidence suggests that heritable epigenetic processes are related to increased cardiovascular disease risk, but this is largely unexplored in adolescents or across generations. Materials and Methods: In a cross-sectional descriptive pilot study in low-income African American mother-adolescent dyads, we examined associations between DNA methylation and the cardiometabolic indicators of body mass index, waist circumference, and insulin resistance. Results: Four adjacent cytosine and guanine nucleotides (CpG) sites were significantly differentially methylated and associated with C-reactive protein (CRP), 62 with waist circumference, and none to insulin resistance in models for both mothers and adolescents. Conclusion: Further study of the relations among psychological and environmental stressors, indicators of cardiovascular disease, risk, and epigenetic factors will improve understanding of cardiovascular disease risk so that preventive measures can be instituted earlier and more effectively. To our knowledge this work is the first to examine DNA methylation and cardiometabolic risk outcomes in mother-adolescent dyads.

scholarly journals Adiponectin, an Adipocyte-Derived Protein, Predicts Future Insulin Resistance: Two-Year Follow-Up Study in Japanese Population

2004 ◽  
Vol 89 (1) ◽  
pp. 87-90 ◽  
Author(s):  
Yukihiro Yamamoto ◽  
Hiroshi Hirose ◽  
Ikuo Saito ◽  
Kanako Nishikai ◽  
Takao Saruta
Keyword(s):  
Insulin Resistance ◽  
Body Weight ◽  
Lipid Profile ◽  
Adiponectin Level ◽  
Serum Insulin ◽  
Resistance Index ◽  
Serum Adiponectin ◽  
Model Assessment ◽  
Homeostasis Model Assessment ◽  
Insulin Resistance Index

It has been reported that the serum adiponectin level was negatively correlated with body mass index (BMI), insulin resistance index, and triglycerides and was positively correlated with high-density lipoprotein cholesterol in several cross-sectional studies. However, the causal relationship has not been elucidated. We investigated whether the baseline adiponectin level could predict subsequent changes in insulin resistance, lipid profile, or body weight in a 2-yr longitudinal study. This study included 590 male Japanese subjects, aged 30–65 yr, who received annual health checkups in both 2000 and 2002. Blood pressure, heart rate, and anthropometric and metabolic parameters, including serum insulin and adiponectin levels, were determined. The insulin resistance index was calculated based on homeostasis model assessment. Baseline adiponectin level was not correlated with the subsequent change in lipid profile or BMI in 2 yr after adjustment for each baseline value. However, the baseline adiponectin level was negatively correlated with subsequent changes in insulin and insulin resistance index based on homeostasis model assessment, even after adjustment for change in BMI (r = −0.162 and r = −0.140, respectively). These findings suggest that the serum adiponectin concentration predicts subsequent changes in insulin resistance, but not in lipid profile or body weight.

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