scholarly journals Low-density Lipoprotein Cholesterol is a Predictor of Metabolic Syndrome in a Japanese Health Screening Population

2013 ◽  
Vol 52 (24) ◽  
pp. 2707-2713 ◽  
Author(s):  
Eiji Oda
2005 ◽  
Vol 62 (11) ◽  
pp. 811-819
Author(s):  
Aleksandra Jovelic ◽  
Goran Radjen ◽  
Stojan Jovelic ◽  
Marica Markovic

Background/Aim. C-reactive protein is an independent predictor of the risk of cardiovascular events and diabetes mellitus in apparently healthy men. The relationship between C-reactive protein and the features of metabolic syndrome has not been fully elucidated. To assess the cross-sectional relationship between C-reactive protein and the features of metabolic syndrome in healthy people. Methods. We studied 161 military pilots (agee, 40?6 years) free of cardiovascular disease, diabetes mellitus and active inflammation on their regular annual medical control. Age, total cholesterol, low density lipoprotein cholesterol, high density lipoprotein cholesterol, triglycerides, fasting glucose, glycosylated hemoglobin, blood pressure, smoking habit, waist circumference and body mass index were evaluated. Plasma C-reactive protein was measured by the immunonephelometry (Dade Behring) method. Metabolic syndrome was defined according to the National Cholesterol Education Program Expert Panel. Results. The mean C-reactive protein concentrations in the subjects grouped according to the presence of 0, 1, 2 and 3 or more features of the metabolic syndrome were 1.11, 1.89, 1.72 and 2.22 mg/L, respectively (p = 0.023) with a statistically, significant difference between those with 3, and without metabolic syndrome (p = 0.01). In the simple regression analyses C-reactive protein did not correlate with the total cholesterol, low density lipoprotein cholesterol, high density lipoprotein cholesterol, body mass index and blood pressure (p > 0.05). In the multiple regression analysis, waist circumference (? = 0.411, p = 0.000), triglycerides to high density lipoprotein cholesterol ratio (? = 0.774, p = 0.000), smoking habit (? = 0.236, p = 0.003) and triglycerides (? = 0.471, p = 0.027) were independent predictors of C-reactive protein. Conclusions. Our results suggested a cross-sectional independent correlation between the examined cardiovascular risk factors as the predominant features of metabolic syndrome and C-reactive protein in the group of apparently healthy subjects. The lack of correlation of C-reactive protein with the total cholesterol and low density lipoprotein cholesterol in our study may suggest their different role in the process of atherosclerosis and the possibility to determine C-reactive protein in order to identify high-risk subjects not identified with cholesterol screening.


2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Zaza Makaridze ◽  
Elene Giorgadze ◽  
Ketevan Asatiani

The study was designed to assess the association between insulin resistance (IR) and apolipoprotein B/apolipoprotein A-I ratio (ApoB/ApoA-I ratio), metabolic syndrome (MetS) components, total cholesterol (TC), and low-density lipoprotein cholesterol (LDL-C) in the nondiabetic population of Georgia. The subjects were 1522 Georgians of Caucasian origin (mean age = 45 years, 653 women) without diabetes who had visited the clinics for a related health checkup between 2012 and 2013. IR was calculated using the computer homeostasis model assessment (HOMA2-IR) and was defined as the upper quartile. MetS was diagnosed using the updated ATP-III definition of the metabolic syndrome. Logistic and multiple regression models were used to estimate the association between IR and other components. IR was positively correlated with age, ApoB, ApoB/ApoA-I ratio, MetS components (excluding high-density lipoprotein cholesterol—HDL-C), LDL-C, fasting insulin, and TC and negatively correlated with HDL-C and ApoA-I in both sexes (allP<0.001). In the logistic regression models, gender, age, ApoB/ApoA-I ratio, diastolic pressure, HDL-C, LDL-C, fasting glucose, and triglycerides were the covariates significantly associated with IR (OR: 8.64, 1.03, 17.95, 1.06, 0.13, 1.17, 3.75, and 2.29, resp.; allP<0.05). Multiple regression models demonstrated that these components (except for HDL-C) made an independent contribution to the prediction of HOMA2 (allP<0.05).


Author(s):  
Jennifer S Suhashini ◽  
Savitha G

Objectives: Subclinical hypothyroidism (SCH) is also the major risk for cardiovascular disease like metabolic syndrome (MetS). Hence, the aim of this study is to assess the association of SCH in MetS patients.Materials and Methods: Ninety patients reporting to Saveetha Dental College and Hospitals were enrolled in the study which includes 40 patients with MetS and 40 healthy individuals. 5 ml of venous blood was collected and centrifuged. Then, it is analyzed for fasting blood sugar, serum triglycerides, high-density lipoprotein cholesterol (HDL-c), low-density lipoprotein cholesterol (LDL-c), and very low-density lipoprotein (VLDL) using the standard kit method. Then, Free T3, Free T4, and thyroid-stimulating hormone (TSH) were estimated by ELISA method. The data obtained were subjected to statistical analysis using the SPSS software.Results: SCH is 20% in cases when compared to 4.4% in controls, which was significant, p=0.024. The biochemical parameters were compared between the study population fasting blood glucose, triglycerides, total cholesterol, low-density lipoprotein cholesterol, and VLDL cholesterol was statistically significant, with p<0.001. TSH levels showed significant difference between two groups with the p=0.002.Conclusion: MetS patients should be screened for the SCH as an important risk factor in evaluation protocol. Mere correction of TSH levels can reverse the associated morbidity in these patients rather than leaving them untreated pushing them to a state of overt hypothyroidism with its attendant complications.


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