Cholesterol efflux alterations in adolescent obesity: role of adipose-derived extracellular vesical microRNAs

Macrophage cholesterol efflux capacity has been identified as a predictor for cardiovascular disease. We assessed the relationship between adipocyte-derived extracellular vesicle microRNAs and macrophage cholesterol efflux capacity. We assessed an adolescent cohort (n = 93, Age, median (IQR) = 17 (3...

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Bibliographic Details
Published in:Journal of translational medicine 2019-07, Vol.17 (1), p.232-232, Article 232
Main Authors: Barberio, Matthew D, Kasselman, Lora J, Playford, Martin P, Epstein, Samuel B, Renna, Heather A, Goldberg, Madeleine, DeLeon, Joshua, Voloshyna, Iryna, Barlev, Ashley, Salama, Michael, Ferrante, Sarah C, Nadler, Evan P, Mehta, Nehal, Reiss, Allison B, Freishtat, Robert J
Format: Article
Language:English
Subjects:
Adipose tissue
Adolescent obesity
Biochemistry
Cardiovascular diseases
Care and treatment
Cholesterol
Cholesterol Efflux
Cholesterol metabolism
Cytochrome P-450
Extracellular vesicle
Gene expression
Genes
Genetic aspects
Health aspects
Low density lipoproteins
Macrophages
Medical research
MicroRNA
microRNAs
Obesity
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Summary:Macrophage cholesterol efflux capacity has been identified as a predictor for cardiovascular disease. We assessed the relationship between adipocyte-derived extracellular vesicle microRNAs and macrophage cholesterol efflux capacity. We assessed an adolescent cohort (n = 93, Age, median (IQR) = 17 (3) year, Female = 71, Male = 22) throughout the BMI continuum (BMI = 45.2 (13.2) kg/m ) for: (1) cholesterol efflux capacity and lipoprotein profiles; (2) adipocyte-derived extracellular vesicle microRNAs in serum; (3) the role of visceral adipose tissue extracellular vesicle in regulation of cholesterol efflux and cholesterol efflux gene expression in THP-1 macrophages in vitro. Efflux capacity was significantly associated with HDL (r = 0.30, p = 0.01) and LDL (r = 0.33, p = 0.005) particle size. Multivariate-analysis identified six microRNAs associated (p 
ISSN:1479-5876
1479-5876
DOI:10.1186/s12967-019-1980-6