Biological age of women with the metabolic syndrome

Abstract

An accelerated aging in the elderly is often associated with agerelated diseases such as cardiovascular diseases and type 2 diabetes. With accelerated aging, metabolic disorders develop, which are characterized as metabolic syndrome (MS). The aim of the study was to assess rate of metabolic aging in women with MS. The formula for determining the BA was obtained by the stepwise multiple regression method. Material and methods. 68 practically healthy women and 62 women with MS aged from 30 to 80 years were examined. Anthropometric parameters and metabolic biomarkers of aging were measured. A standard glucose tolerance test was also conducted with the determination of insulin by the immunoenzymatic method and glucose in the blood plasma. Total cholesterol (Cholesterol), triglycerides, low density lipoprotein cholesterol (LDL-C), very low density (VLDL-C) and high density lipoprotein cholesterol (HDL-C) were determined in the blood serum. The HOMA insulin resistance index was calculated. The formula for determining biological age was obtained by the method of multiple stepwise regression. Results. It has been shown that the majority of anthropometric and biochemical parameters in women younger than 60 years old with MS are signifi cantly observed in the control group. Thus, women with MS tend to have large body circumference and body mass index. They have reduced carbohydrate tolerance: increased glucose and insulin levels after 2 hours of GTT, and increased HOMA index. Fat metabolism disorders are also noted: an increased level of triglycerides and atherogenic cholesterol fractions (LDL-C, LDL-C) in the blood, as well as the atherogenicity index and C/HDL-C ratio. Fat metabolism disorders are also noted: an increased level of triglycerides and atherogenic cholesterol fractions (LDL-C, VLDL-C) in the blood, as well as an atherogenic index and a cholesterol/HDL ratio. At the same time, the concentration of HDL-C is reduced. In women over 60 years of age with MS, less pronounced diff erences are noted with the control group of the same age: there are no signifi cant diff erences in the levels of glucose, insulin, cholesterol and HOMA index. At the same time, cholesterol fractions, atherogenicity index and ratio of HDL-C were signifi cantly higher, and HDL-C was lower compared to the control group. The formula for calculating metabolic age was obtained on the basis of anthropometric and biochemical parameters of healthy women of all ages. The use of stepwise multiple regression made it possible to select the most informative indicators and obtain an equation linking the age of women without MS with a number of indicators (R=0.81; p<0.0001). The calculation of MS in healthy people showed that the average absolute error is 6.19 years. Among healthy women, the proportion of individuals with an accelerated type of aging (the diff erence between MA and chronological age of 10 years and older) was 10.1%, while among women with MS, the proportion of individuals with accelerated aging was 52.4% (p<0.05). This allows us to consider the MA criterion as a predictor of the development of MS. Conclusion. Our study showed that the presence of MS in women contributes to the development of accelerated aging.