University of Reading Research Data Archive

Dataset supporting paper 'Circulating extracellular vesicles are strongly associated with cardiovascular risk markers'

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This dataset includes all reports and summaries of raw data supporting the results presented in the paper ‘Circulating extracellular vesicles are strongly associated with cardiovascular risk markers'. The objective of this paper is to investigate the relationships between circulating extracellular vesicles (EVs), conventional cardiovascular risk markers and thrombogenic markers in subjects with moderate risk of cardiovascular diseases (CVDs), which is the part aim of a larger study investigating the effect of fish oil-derived n-3 polyunsaturated fatty acids on the generation and functional activities of EVs based on a randomised, double-blind, placebo-controlled crossover intervention. The results and findings involved in this dataset relate only to the baseline data prior to any intervention. A total of 40 subjects (aged 40~70yrs) with moderate risk of CVDs were recruited and involved in the study. Approximately 100ml of blood was collected from individuals after overnight fasting for all analysis, in which 35ml was processed for the analysis of circulating EVs, 9ml was taken for the analysis of blood lipids and glucose levels for the conventional cardiovascular markers evaluation and the rest was operated for the thrombogenic markers evaluation.

Data about EVs parameters include: i. the numbers and size of circulating total EVs measured by Nanoparticle Tracking Analysis (NTA); ii. the numbers of EV subpopulations (i.e. phosphatidylserine-positive EVs (PS+EVs), platelet-derived EVs (PDEVs) and endothelial-derived EVs (EDEVs)) measured by flow cytometry (FCM); iii. the procoagulatory activity of circulating EVs (in vitro thrombogenic potential in activating tissue factor-dependent thrombin generation) measured by thrombin generation assay. Data about conventional cardiovascular risk markers include i. body mass index (BMI) measured by Tanita; ii. blood pressure measured by upper arm blood pressure monitor; iii. plasma lipid profile (i.e. triacylglycerol (TAG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and glucose concentrations measured by iLab; iv. 10-year CVD risk detected by QRISK2 scoring system. Data about thrombogenic markers include: i. plasma platelet aggregation measured by 96-well high-throughput aggregometry; ii. plasma thrombin generation measured by thrombin generation assay; iii. plasma clot growth and fibrinolysis measured by thrombodynamics analyser.

Resource Type: Dataset
Creators: Zhou, Ruihan and Bozbas, Esra
Rights-holders: University of Reading, Esra Bozbas
Data Publisher: University of Reading
Publication Year: 2022
Data last accessed: 9 August 2022
DOI: https://doi.org/10.17864/1947.000366
Metadata Record URL: https://researchdata.reading.ac.uk/id/eprint/366
Organisational units: Life Sciences > School of Chemistry, Food and Pharmacy > Department of Food and Nutritional Sciences
Participating Organisations: University of Reading
Keywords: extracellular vesicles, conventional cardiovascular risk markers, thrombogenic markers
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