Sandra Vladimirov

Dr. Sandra Vladimirov

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 July 2023 in Cells
Verified
Journal Article
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APAleksa Petkovic
Aleksa Petkovic
SESanja Erceg
Sanja Erceg
JMJelena Munjas
Jelena Munjas
ANAna Ninic
Ana Ninic
SVSandra Vladimirov
Sandra Vladimirov
Miron SopicMiron Sopic
Miron Sopic
Current clinical data show that, despite constant efforts to develop novel therapies and clinical approaches, atherosclerotic cardiovascular diseases (ASCVD) are still one of the leading causes of death worldwide. Advanced and unstable atherosclerotic plaques most often trigger acute coronary events that can lead to fatal outcomes. However, despite the fact that different plaque phenotypes may require different treatments, current approaches to prognosis, diagnosis, and classification of acute coronary syndrome do not consider the diversity of plaque phenotypes. Long non-coding RNAs (lncRNAs) represent an important class of molecules that are implicated in epigenetic control of numerous cellular processes. Here we review the latest knowledge about lncRNAs’ influence on plaque development and stability through regulation of immune response, lipid metabolism, extracellular matrix remodelling, endothelial cell function, and vascular smooth muscle function, with special emphasis on pro-atherogenic and anti-atherogenic lncRNA functions. In addition, we present current challenges in the research of lncRNAs’ role in atherosclerosis and translation of the findings from animal models to humans. Finally, we present the directions for future lncRNA-oriented research, which may ultimately result in patient-oriented therapeutic strategies for ASCVD.

11 October 2022 in Metabolites
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Journal Article
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AZAleksandra Zeljkovic
Aleksandra Zeljkovic
DADaniela Ardalic
Daniela Ardalic
JVJelena Vekic
Jelena Vekic
TATamara Antonić
Tamara Antonić
SVSandra Vladimirov
Sandra Vladimirov
Stefanović AleksandraStefanović Aleksandra
Stefanović Aleksandra
Metabolic disorders in pregnancy, particularly gestational diabetes mellitus (GDM), are associated with an increased risk for adverse pregnancy outcome and long-term cardiometabolic health of mother and child. This study analyzed changes of serum cholesterol synthesis and absorption markers during the course of high-risk pregnancies, with respect to the development of GDM. Possible associations of maternal lipid biomarkers with neonatal characteristics were also investigated. The study included 63 women with high risk for development of pregnancy complications. Size and proportions of small low-density (LDL) and high-density lipoprotein (HDL) particles were assessed across trimesters (T1–T3), as well as concentrations of cholesterol synthesis (lathosterol, desmosterol) and absorption markers (campesterol, β-sitosterol). During the study, 15 women developed GDM, while 48 had no complications (non-GDM). As compared to the non-GDM group, women with GDM had significantly higher triglycerides in each trimester, while having a lower HDL-C level in T3. In addition, they had significantly lower levels of β-sitosterol in T3 (p < 0.05). Cholesterol synthesis markers increased across trimesters in both groups. A decrease in serum β-sitosterol levels during the course of pregnancies affected by GDM was observed. The prevalence of small-sized HDL decreased in non-GDM, while in the GDM group remained unchanged across trimesters. Newborn’s size in the non-GDM group was significantly higher (p < 0.01) and inversely associated with proportions of both small, dense LDL and HDL particles (p < 0.05) in maternal plasma in T1. In conclusion, high-risk pregnancies affected by GDM are characterized by altered cholesterol absorption and HDL maturation. Advanced lipid testing may indicate disturbed lipid homeostasis in GDM.

1 February 2022 in Biochemical Pharmacology
Verified
Journal Article
Closed access
SVSandra Vladimirov
Sandra Vladimirov
TGTamara Gojkovic
Tamara Gojkovic
AZAleksandra Zeljkovic
Aleksandra Zeljkovic
ZJZorana Jelic-Ivanovic
Zorana Jelic-Ivanovic
DZDejan Zeljkovic
Dejan Zeljkovic
VSVesna Spasojevic-Kalimanovska
Vesna Spasojevic-Kalimanovska

17 September 2022 in Nutrition, Metabolism and Cardiovascular Diseases
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Journal Article
Closed access
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AZAleksandra Zeljkovic
Aleksandra Zeljkovic
AMAna Milojević
Ana Milojević
SVSandra Vladimirov
Sandra Vladimirov
MZMarija Zdravković
Marija Zdravković
LMLidija Memon
Lidija Memon
ANAna Ninic
Ana Ninic

Verified
Journal Article
Open access
PDF file
TATamara Antonić
Tamara Antonić
DADaniela Ardalic
Daniela Ardalic
SVSandra Vladimirov
Sandra Vladimirov
AZAleksandra Zeljkovic
Aleksandra Zeljkovic
JVJelena Vekic
Jelena Vekic
Stefanović AleksandraStefanović Aleksandra
Stefanović Aleksandra
A specific feature of dyslipidemia in pregnancy is increased high-density lipoprotein (HDL) cholesterol concentration, which is probably associated with maternal endothelium protection. However, preeclampsia is most often associated with low HDL cholesterol, and the mechanisms behind this change are scarcely explored. We aimed to investigate changes in HDL metabolism in risky pregnancies and those complicated by late-onset preeclampsia. We analyze cholesterol synthesis (cholesterol precursors: desmosterol, 7-dehydrocholesterol, and lathosterol) and absorption markers (phytosterols: campesterol and β-sitosterol) within HDL particles (NCSHDL), the activities of principal modulators of HDL cholesterol’s content, and major HDL functional proteins levels in mid and late pregnancy. On the basis of the pregnancy outcome, participants were classified into the risk group (RG) (70 women) and the preeclampsia group (PG) (20 women). HDL cholesterol was lower in PG in the second trimester compared to RG (p < 0.05) and followed by lower levels of cholesterol absorption markers (p < 0.001 for campesterolHDL and p < 0.05 for β-sitosterolHDL). Lowering of HDL cholesterol between trimesters in RG (p < 0.05) was accompanied by a decrease in HDL phytosterol content (p < 0.001), apolipoprotein A-I (apoA-I) concentration (p < 0.05), and paraoxonase 1 (PON1) (p < 0.001), lecithin–cholesterol acyltransferase (LCAT) (p < 0.05), and cholesterol ester transfer protein (CETP) activities (p < 0.05). These longitudinal changes were absent in PG. Development of late-onset preeclampsia is preceded by the appearance of lower HDL cholesterol and NCSHDL in the second trimester. We propose that reduced capacity for intestinal HDL synthesis, decreased LCAT activity, and impaired capacity for HDL-mediated cholesterol efflux could be the contributing mechanisms resulting in lower HDL cholesterol.

1 January 2021 in Arhiv za farmaciju
Verified
Journal Article
Open access
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AJAleksandra Jeremić
Aleksandra Jeremić
FMFilip Milosavljević
Filip Milosavljević
SVSandra Vladimirov
Sandra Vladimirov
BBBojan Batinić
Bojan Batinić
BMBojan Markovic
Bojan Markovic
MJMarin Jukić
Marin Jukić
Simultaneous quantification of multiple psychiatric drugs is important for the therapeutic drug monitoring of psychiatric patients. In addition, it would be highly advantageous if the method could be simple, straightforward, and not time-consuming. A 200 µl plasma sample was deproteinized, drugs were separated by a ZORBAX Eclipse XDB-Phenyl column with the mobile phase composed of acetonitrile and 0.1 % formic acid in water (60:40, v/v), and recorded in the MRM mode by using a positive electrospray source with tandem mass spectrometry detection. The dynamic range was 2-256 ng/ml for all the analyzed drugs, except escitalopram (8-256 ng/ml). Quality control samples were prepared in quintuplicates in three relevant concentrations for each drug. Coefficients of determination (R2 ) were higher than 0.99, while the relative difference between nominal and measured concentrations (RE) and CV were lower than 15% for all targets. High performance liquid chromatography coupled with the mass detector (HPLC-MS/MS) method for simultaneous determination of sertraline, escitalopram, risperidone and paliperidone in human plasma was validated with respect to selectivity, linearity, accuracy, precision, matrix effect and stability. This method has significant advantages in terms of low sample volume (200 µl), short preparation time (3 hours) and short runtime per sample (4 minutes).