Apolipoprotein E Polymorphism in Relation to Plasma Lipid Levels and Other Risk Factors of Atherosclerosis in Two Ethnic Groups from Slovakia

The influence of apolipoprotein E (ApoE) genotypes on plasma lipid levels and interaction with other environmental factors was determined in two Slovakian population samples; 146 Romany and 351 Slovak individuals. The two samples differ significantly in the distribution of E3/3 genotypes (p_0.014) and E3/2 (p_0.035). Analysis of variance did not reveal any significant effect of the ApoE genotypes on any of the plasma lipid levels in the Romany individuals. In the Slovak sample the variation in plasma low-density lipoprotein cholesterol (LDL-C) levels was significantly associated with the ApoE genotypes (p=0.012). We detected decreased LDL-C concentrations in males with E2 genotype when compared with E3 and E4 carriers (p=0.008). Further, the E2 genotype was found to be associated with high triglycerides levels (p=0.009). The ethnic samples differ significantly in the prevalence of metabolic syndrome and in the case of males of diabetes. Both the Romany and the Slovak males can be considered as having a more atherogenic profile compared with the female

Association of Leu432Val (rs1056836) polymorphism of the CYP1B1 gene with lipid profile in hypertensive Slovak women

Leu432Val (rs1056836) polymorphism of the CYP1B1 gene was examined in relationship with lipid profile in hypertensive Slovak women according to their menopausal status. The entire study sample comprised 255 women suffering from hypertension aged from 39 to 65 years who were recruited from different localities in the western, southern, and middle parts of Slovakia. The participants provided a saliva or blood sample for DNA genotyping and a blood sample for biochemical analysis. The Leu432Val genotypes demonstrated statistically significant associations with all monitored atherogenic indices – total cholesterol-to-HDL-Cholesterol (AI1), Non-HDL-Cholesterol (AI2), LDL-Cholesterol-to-HDL-Cholesterol (AI3), and the logarithm of the ratio of plasma concentration of triglycerides to HDL-cholesterol (AIP log) in hypertensive pre/perimenopausal women. The mean values were significantly lower in women carrying the Val/Val genotype. In early postmenopausal hypertensive women the Leu432Val genotypes were statistically significant and associated with LDL-cholesterol (LDL-C) and AI2. The mean values of LDL-C and AI2 were significantly lower in women carrying the Leu/Leu genotype. In conclusion, the Leu432Val polymorphism may be associated with the atherogenic indices and LDL-C in hypertensive women

Apolipoprotein E Polymorphism in Relation to Plasma Lipid Levels and Other Risk Factors of Atherosclerosis in Two Ethnic Groups from Slovakia

The influence of apolipoprotein E (ApoE) genotypes on plasma lipid levels and interaction with other environmental factors was determined in two Slovakian population samples; 146 Romany and 351 Slovak individuals. The two samples differ significantly in the distribution of E3/3 genotypes (p_0.014) and E3/2 (p_0.035). Analysis of variance did not reveal any significant effect of the ApoE genotypes on any of the plasma lipid levels in the Romany individuals. In the Slovak sample the variation in plasma low-density lipoprotein cholesterol (LDL-C) levels was significantly associated with the ApoE genotypes (p=0.012). We detected decreased LDL-C concentrations in males with E2 genotype when compared with E3 and E4 carriers (p=0.008). Further, the E2 genotype was found to be associated with high triglycerides levels (p=0.009). The ethnic samples differ significantly in the prevalence of metabolic syndrome and in the case of males of diabetes. Both the Romany and the Slovak males can be considered as having a more atherogenic profile compared with the female

Systematic risk testing by means of Brimble-Hodgson accounting model in the construction area

The goal of this article is to point at the possibilities of estimating the beta coefficient by means of accounting variables. Its advantage is that it can be applied for the companies which shares are not traded at the stock exchange, or for newly established companies (e.g. start-ups) with no history of their activities and with very limited possibilities of risk diversification. We are of the opinion that these data can be considered as one of the most appropriate means of estimating the overall risk of the particular company. Beta coefficient estimate is not based on the market information, but on the accounting data of the company being analysed. By testing of the Brimble-Hodgson model on the constructing area we have identified significant variables with serious influence over the systematic risk

Differences in body composition between metabolically healthy and unhealthy midlife women with respect to obesity status

Body composition (BC) characteristics across metabolic health-by-body mass index categories were examined. Metabolic health (MH) was defined by five biomarkers: waist circumference, blood pressure, levels of triglycerides, high density lipoprotein cholesterol, and fasting glucose. Potential differences in BC characteristics between metabolically healthy obese (MH-O) and metabolically unhealthy obese (MUH-O) women, and between MH normal weight (MH-NW) and MUH normal weight (MUH-NW) women were explored in 276 Slovak midlife women (39-65 years). Body composition parameters were measured with bioimpedance analyzer (BIA 101, Akern, S. r. l.). A simple comparison of the BC data between the subgroups showed significant differences in resistance (Rz, ohm) (p=0.035), muscle mass (MM, kg) (p=0.044), and total body water (TBW, kg) (p=0.047) between MH-O and MUH-O women. However, we did not observe any significant differences in BC characteristics between MH-NW and MUHNW. Specific logistic regression models were used to determine differences in BC characteristics between various obesity phenotypes, with controlling for age, menopausal status, smoking status and sport activity. Our results indicated that increasing age and decreasing Rz were statistically significantly associated with an increased likelihood of exhibiting MUH-O (p=0.031 for age; p=0.032 for Rz). Moreover, other logistic models which included age, menopausal status, biochemical variables and life style factors such as covariates, showed that increasing alanine aminotransferase (ALT) and uric acid (UA) were statistically significantly associated with an increased likelihood of exhibiting MUH-O (p=0.023 for ALT, p=0.010 for UA). In conclusion, MUH-O and MH-O cardiometabolic profiles are characterized by differences in the value of resistance and plasma levels of ALT and UA

Testovanie systematického rizika pomocou Brimble-Hodgsonovho Accounting modelu v odvetví stavebníctva

The goal of this article is to point at the possibilities of estimating the beta coefficient by means of accounting variables. Its advantage is that it can be applied for the companies which shares are not traded at the stock exchange, or for newly established companies (e.g. start-ups) with no history of their activities and with very limited possibilities of risk diversification. We are of the opinion that these data can be considered as one of the most appropriate means of estimating the overall risk of the particular company. Beta coefficient estimate is not based on the market information, but on the accounting data of the company being analysed. By testing of the Brimble-Hodgson model on the constructing area we have identified significant variables with serious influence over the systematic risk