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

How to cite this Dataset

Zhou, Ruihan and Bozbas, Esra (2022): Dataset supporting paper 'Circulating extracellular vesicles are strongly associated with cardiovascular risk markers'. University of Reading. Dataset. https://researchdata.reading.ac.uk/id/eprint/366

Description

This dataset includes all reports and summaries of raw data supporting the results presented in the paper ï¿½Circulating 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:

18 November 2024