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Abstract Plasma‐derived extracellular vesicles (EVs) have been extensively described as putative biomarkers in different diseases. Interestingly, increased levels of EVs subpopulations are well known to associate with obesity. The goal of this study is to identify EVs‐derived biomarkers in plasma from obese patients in order to predict the development of pathological events associated with obesity. Samples are obtained from 22 obese patients and their lean‐matched controls are divided into two cohorts: one for a 2D fluorescence difference gel electrophoresis (2D‐DIGE)‐based study, and the other one for a label free LC–MS/MS‐based approach. EVs are isolated following a serial ultracentrifugation protocol. Twenty‐two and 23 differentially regulated features are detected from 2D‐DIGE and label free LC–MS/MS, respectively; most of them involve in the coagulation and complement cascades. Remarkably, there is an upregulation of complement C4, complement C3, and fibrinogen in obese patients following both approaches, the latter two also validated by 2D‐western‐blotting in an independent cohort. These results correlate with a proinflammatory and prothrombotic state of those individuals. On the other hand, a downregulation of adiponectin leading to an increased risk of suffering cardiovascular diseases has been shown. The results suggest the relevance of plasma‐derived‐EVs proteins as a source of potential biomarkers for the development of atherothrombotic events in obesity.
Male, Proteomics, Blotting, Western, Extracellular vesicles, Plasma, Extracellular Vesicles, Cardiovascular Diseases, Tandem Mass Spectrometry, Label-free quantitation, 2D-DIGE, Humans, European Regional Development Fund, Electrophoresis, Gel, Two-Dimensional, Female, Obesity, Biomarkers, Chromatography, Liquid
Male, Proteomics, Blotting, Western, Extracellular vesicles, Plasma, Extracellular Vesicles, Cardiovascular Diseases, Tandem Mass Spectrometry, Label-free quantitation, 2D-DIGE, Humans, European Regional Development Fund, Electrophoresis, Gel, Two-Dimensional, Female, Obesity, Biomarkers, Chromatography, Liquid
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