PURPOSE: To find potential biomarkers of abdominal aortic aneurysms (AAA), we performed a differential proteomic study based on human plasma-derived microvesicles. EXPERIMENTAL DESIGN: Exosomes and microparticles isolated from plasma of AAA patients and control subjects (n = 10 each group) were analyzed by a label-free quantitative MS-based strategy. Homemade and publicly available software packages have been used for MS data analysis. RESULTS: The application of two kinds of bioinformatic tools allowed us to find differential protein profiles from AAA patients. Some of these proteins found by the two analysis methods belong to main pathological mechanisms of AAA such as oxidative stress, immune-inflammation, and thrombosis. CONCLUSIONS AND CLINICAL RELEVANCE: Data analysis from label-free MS-based experiments requires the use of sophisticated bioinformatic approaches to perform quantitative studies from complex protein mixtures. The application of two of these bioinformatic tools provided us a preliminary list of differential proteins found in plasma-derived microvesicles not previously associated to AAA, which could help us to understand the pathological mechanisms related to this disease.
PURPOSE: To find potential biomarkers of abdominal aortic aneurysms (AAA), we performed a differential proteomic study based on human plasma-derived microvesicles. EXPERIMENTAL DESIGN: Exosomes and microparticles isolated from plasma of AAA patients and control subjects (n = 10 each group) were analyzed by a label-free quantitative MS-based strategy. Homemade and publicly available software packages have been used for MS data analysis. RESULTS: The application of two kinds of bioinformatic tools allowed us to find differential protein profiles from AAA patients. Some of these proteins found by the two analysis methods belong to main pathological mechanisms of AAA such as oxidative stress, immune-inflammation, and thrombosis. CONCLUSIONS AND CLINICAL RELEVANCE: Data analysis from label-free MS-based experiments requires the use of sophisticated bioinformatic approaches to perform quantitative studies from complex protein mixtures. The application of two of these bioinformatic tools provided us a preliminary list of differential proteins found in plasma-derived microvesicles not previously associated to AAA, which could help us to understand the pathological mechanisms related to this disease.
Authors: Elena Burillo; Inmaculada Jorge; Diego Martínez-López; Emilio Camafeita; Luis Miguel Blanco-Colio; Marco Trevisan-Herraz; Iakes Ezkurdia; Jesús Egido; Jean-Baptiste Michel; Olivier Meilhac; Jesús Vázquez; Jose Luis Martin-Ventura Journal: Sci Rep Date: 2016-12-09 Impact factor: 4.379
Authors: Christina Lund Kidholm; Hans Christian Beck; Julie Bukh Madsen; Nikolai Bjødstrup Palstrøm; Jes Sanddal Lindholt; Lars Melholt Rasmussen Journal: PLoS One Date: 2018-02-22 Impact factor: 3.240