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1.
Biomol Biomed ; 23(4): 575-583, 2023 Jul 03.
Article in English | MEDLINE | ID: mdl-37183706

ABSTRACT

Atherosclerosis is a chronic process characterized by inflammation and the progressive accumulation of inflammatory cells and lipids in the blood vessel wall, resulting in narrowing of the blood vessel's circumference. Treatment of people with dyslipidemia aims to reduce the risk of developing atherosclerotic disease and prevent major adverse cardiovascular events (MACE). The results of previous studies indicated that lipoprotein(a) (Lp(a)) is a critical causal factor in the estimated risk of developing a cardiovascular (CV) incident even after achieving desirable low-density lipoprotein (LDL) cholesterol levels. Lp(a) is a low-density lipoprotein particle, like LDL cholesterol. The levels of Lp(a) in plasma are genetically determined. Lp(a) catabolism is still controversial. The pathogenic potential of Lp(a) can be divided into three categories: promotion of plaque formation, thrombogenicity, and proinflammatory effects. Lp(a) levels above the 75th percentile reduced the risk of aortic valve stenosis and myocardial infarction, whereas higher levels (above 90th percentile) were associated with an increased risk of heart failure. However, no hypolipidemic agents have been approved for targeted use in patients with high Lp(a) levels. There are insufficient randomized controlled trials assessing CV outcomes that would support the evidence that current treatment options, which effectively lower Lp(a) levels, also effectively prevent CV event. However, according to some studies, there is strong evidence that better CV outcome is one of the benefits of such therapy. The results of ongoing clinical trials are eagerly awaited.


Subject(s)
Atherosclerosis , Myocardial Infarction , Humans , Lipoprotein(a) , Risk Factors , Atherosclerosis/drug therapy , Cholesterol, LDL
2.
Curr Vasc Pharmacol ; 15(4): 380-389, 2017.
Article in English | MEDLINE | ID: mdl-28155627

ABSTRACT

BACKGROUND AND OBJECTIVES: Obesity is often associated with insulin resistance (IR). We considered different IR indexes: the Homeostasis Model Assessment-Insulin Resistance (HOMA-IR) index, the two specimen (0 and 120 min) oral glucose tolerance test Matsuda Index (MI) and the Homeostasis Model Assessment-Adiponectin (HOMA-AD) index. These IR indexes were compared with indicators of the cardiometabolic profile. METHOD: This cross-sectional study enrolled 60 obese individuals without previous history of diabetes. Anthropometrical, ultrasound and laboratory examinations were conducted. RESULTS: All 3 indexes significantly correlated with indicators of central obesity, systolic and diastolic blood pressure, inflammation parameters, liver enzymes, HbA1c and some lipid parameters. The majority of correlation coefficients were the highest for HOMA-AD, but only the difference in correlation with waist circumference comparing with MI was statistically significant. HOMA-IR directly, and MI indirectly, significantly correlated with age, while HOMA-AD significantly directly correlated with the mean carotid artery intima media thickness (CAIMT). MI showed the best performances in predicting non-alcoholic fatty liver disease and pathologically increased CAIMT; HOMA-AD was the best in predicting metabolic syndrome, while HOMA-IR demonstrated the poorest performances in the prediction of all 3 conditions. There were no statistically significant differences in predicting performances of the analysed indexes. CONCLUSION: The HOMA-AD and MI are not superior compared with the HOMA-IR, in the identification of obese individuals with a proatherogenic cardiometabolic profile.


Subject(s)
Cardiovascular Diseases/metabolism , Insulin Resistance , Obesity/metabolism , Obesity/physiopathology , Adult , Blood Pressure , Cardiovascular Diseases/diagnostic imaging , Cardiovascular Diseases/physiopathology , Cross-Sectional Studies , Diabetes Mellitus/metabolism , Diabetes Mellitus/physiopathology , Female , Glucose Tolerance Test , Homeostasis , Humans , Lipids/blood , Male , Metabolic Syndrome/drug therapy , Metabolic Syndrome/physiopathology , Middle Aged , Obesity/diagnostic imaging , Waist Circumference
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