Background: Endocrine-disrupting chemicals (EDCs) represent a group of chemicals which are related to the disturbances in the human hormonal system. Due to the newest research, it was discovered that their actions did not exclusively point to the hormonal system but rather to all organs of the human body. EDCs are metabolized and may excrete the influence on human metabolism. That influence can be related to the activity of different enzymes included in human metabolism. Those effects can be classified as epigenetic effects. Objective: The aim of the study was to make analysis, evaluation, examination and determination of the possible mechanisms through which EDCs may interact with different metabolically-driven diseases. Methods: This paper represents a review article that includes original and review articles that were used being published in the following databases: Medline/PubMed, ScienceDirect, Oxford Academic, and Google Scholar. Results: EDCs interact through nuclear or steroid receptors excreting their influence onto diseases such as obesity, metabolic syndrome (MetS) and non-alcoholic fatty liver disease (NAFLD). Those mechanisms are mediated through metabolic or immunological pathways. It encompasses different types of hormones, such as vistafin or inflammatory cytokines. Conclusion: It has been noticed that EDCs may influence the appearance of specifically related diseases in offspring excreting epigenetic effects. Further research must be oriented towards potential consequences and ideal pathways for prevention and treatment options.

Introduction: Diabetes mellitus type 2 (T2DM) significantly increase the risk of cardiovascular (CV) disease morbidity and mortality. This study aimed to evaluate the potential of some novel anthropometric indices and adipocytokines to evaluate CV risk among T2DM patients. Methods: A total of 112 patients (men, 57; women, 55) with T2DM visiting Family Medicine and Endocrine counseling in the area of Health centers of Sarajevo Canton were included in this study. The sera samples were analyzed for fasting blood glucose (FBG), HbA1c, lipid profile parameters, adiponectin, and resistin levels. The Adiponectin/Resistin Index (A/R Index) was estimated using the formula. The novel anthropometric measurements, including the Conicity index (CI), Lipid Accumulation Product (LAP), visceral adiposity index (VAI), abdominal volume index (AVI), and Body adiposity index (BAI) were estimated. The 10-year risk for coronary heart disease (CHD) and fatal coronary heart disease (fCHD) is calculated by using UKPDS Risk software. Results: The adiponectin was shown as a statistically significant negative association with CHD in female subjects, and the A/R index as a statistically significant association with CHD and fCHD in male subjects. The AVI is superior to the CI, LAP, VAI, and BAI in assessing cardiometabolic risk in T2DM patients. Conclusions: Our study indicated that measuring adiponectin and A/R index, together with measuring AVI as a measure of general volume, can be used as surrogates in the evaluation of high cardiovascular risk among T2DM patients.

Introduction: Diabetes mellitus type 2 (T2DM) significantly increase the risk of cardiovascular (CV) disease morbidity and mortality. This study aimed to evaluate the potential of some novel anthropometric indices and adipocytokines to evaluate CV risk among T2DM patients. Methods: A total of 112 patients (men, 57; women, 55) with T2DM visiting Family Medicine and Endocrine counseling in the area of Health centers of Sarajevo Canton were included in this study. The sera samples were analyzed for fasting blood glucose (FBG), HbA1c, lipid profile parameters, adiponectin, and resistin levels. The Adiponectin/Resistin Index (A/R Index) was estimated using the formula. The novel anthropometric measurements, including the Conicity index (CI), Lipid Accumulation Product (LAP), visceral adiposity index (VAI), abdominal volume index (AVI), and Body adiposity index (BAI) were estimated. The 10-year risk for coronary heart disease (CHD) and fatal coronary heart disease (fCHD) is calculated by using UKPDS Risk software. Results: The adiponectin was shown as a statistically significant negative association with CHD in female subjects, and the A/R index as a statistically significant association with CHD and fCHD in male subjects. The AVI is superior to the CI, LAP, VAI, and BAI in assessing cardiometabolic risk in T2DM patients. Conclusions: Our study indicated that measuring adiponectin and A/R index, together with measuring AVI as a measure of general volume, can be used as surrogates in the evaluation of high cardiovascular risk among T2DM patients.