Abstract
Aim. To assess the effectiveness of indicators of lipid peroxidation and the activity of antioxidant system enzymes in the early diagnosis of metabolic disorders.
Methods. The study included 269 women of fertile age with primary obesity. The control group consisted of 35 women. The clinical examination included identification of the type of obesity, whole-body fat percentage, the level of glycemia and the index of insulin resistance, biochemical markers of lipids, hormones (leptin and insulin), malondialdehyde and enzyme activity (peroxidase and catalase). The statistical significance of the differences was determined by using the inversion test. Spearman's rank correlation coefficient was used to assess the degree of relationship between quantitative characteristics, and scatter diagrams were used to compare two variables (Statistica software version 10.0).
Results. A statistically significant increase in basal and stimulated immunoreactive insulin was found in obese patients compared with the controls (p 0.01). Stimulated immunoreactive insulin levels, insulin resistance score (HOMA-IR) and the level of leptin in the group of patients with android obesity was higher than in the group with gynoid obesity (p 0.01). The relationship between the concentration of serum malondialdehyde and whole-body fat percentage was found to be more significant (r=0.412; p 0.001) than the relationship with the type of obesity (r=0.257; p 0.01). Positive correlations were found between serum malondialdehyde and insulin (r=0.35; p 0.001) and leptin (r=0.32; p 0.001) levels. The relationship between the concentration of serum malondialdehyde and the activity of enzyme systems was also noted. The activity of lipid peroxidation was higher in the group of patients with android obesity (malondialdehyde 3.3 mol/L) compared with the group of patients with gynoid obesity. In the same group, a higher activity of enzyme systems was noted.
Conclusion. An increase in the concentration of serum malondialdehyde and the activity of enzyme systems should be considered as indicators of a high risk of developing metabolic syndrome.
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