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Projects source: E-CRIS

Interactive role of dyslipidemia, oxidative stress and inflammation in atherosclerosis and other diseases: genetic and biochemical markers

Research activity

Code Science Field
B007  Biomedical sciences  Medicine (human and vertebrates) 
B190  Biomedical sciences  Clinical chemistry 
B490  Biomedical sciences  Haematology, extracellular fluids 
B530  Biomedical sciences  Cardiovascular system 
B740  Biomedical sciences  Pharmacological sciences, pharmacognosy, pharmacy, toxicology 
Keywords
Coronary artery disease; clinical accuracy; factor analysis; gene expression; cost-effectiveness
Organisations (2) , Researchers (1)
0007  University of Belgrade, Faculty of Pharmacy
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  00955  Zorana Jelić-Ivanović  Biochemistry, Metabolism  Head  2011 - 2019  69 
0018  University of Belgrade, Faculty of Medicine
Abstract
Genetic and acquired risk factors linked to dyslipidemia, oxidative stress and inflammation will be studied in patients with cardiovascular, cerebrovascular, renal and pulmonary diseases. Risk factors will be investigated at three levels: (1) genetic polymorphisms (cholesterol ester transfer protein, paraoxonases), (2) gene expression (superoxide dismutases and other genes involved in oxidative and inflammatory pathways) and (3) concentrations of inflammatory, oxidative stress, hemostatic and lipid parameters, including small, dense LDL and HDL particles. Analytical methods for qualitative and quantitative investigations of the risk factors will be optimized and validated. Sources of intra-individual and inter-individual variations will be studied in healthy and diseased subjects. Complex interrelationships between numerous risk factors and their associations with the diseases will be investigated by factor analysis in order to identify a smaller set of independent clusters and their role in risk prediction. The risk factors will be evaluated as markers of the occurrence, severity and prognosis of the disease and their clinical usefulness will be compared by ROC-curve analysis. Cost-effectiveness of the additional diagnostic or prognostic information obtained by laboratory analysis of each marker will be assessed. This will be the basis for designing rational diagnostic strategies to identify individuals at higher risk and ultimately improve prevention and treatment.
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