BACKGROUND: Molecular mechanisms underlying abdominal aneurysm (AAA) formation and rupture are not well understood. Early detection and repair of AAA may reduce the high mortality rates associated with rupture. Serum proteomics allows the detection of alterations in the expression of proteins, guiding further studies on these target molecules as potential markers. Analysis of proteomic profile of asymptomatic patients with AAA allows the identification of reliable predictors or markers of disease presence or progression. METHODS: A proteomics approach based on two-dimensional electrophoresis and mass spectrometry was used to compare serum proteomic profiles of patients with AAA who are candidates for surgical repair compared with healthy controls. We analyzed in parallel the proteomic profile of subjects with cardiac heart failure to discriminate these two pathologies, which show similar pattern of systemic inflammation process. RESULTS: We identified in AAA subjects four serum proteins that show altered expression profile and that could be specifically linked to AAA pathology. We discuss the role of our identified proteins with their possible implications in disease outcome. CONCLUSIONS: This approach could provide an initial screening tool that may drive the basis for further research in the field of cardiovascular diseases. These results need to be validated in larger studies to find potential markers of AAA presence or progression to use in clinical settings. SUMMARY: A proteomics approach was used to compare serum proteomic profiles of patients with abdominal aortic aneurysm who are candidates for surgical repair compared with healthy controls. Four serum proteins showed altered expression profile that could be correlated with the pathology. This approach could provide an initial screening tool that may drive the basis for further research in the field of cardiovascular diseases.
BACKGROUND: Molecular mechanisms underlying abdominal aneurysm (AAA) formation and rupture are not well understood. Early detection and repair of AAA may reduce the high mortality rates associated with rupture. Serum proteomics allows the detection of alterations in the expression of proteins, guiding further studies on these target molecules as potential markers. Analysis of proteomic profile of asymptomatic patients with AAA allows the identification of reliable predictors or markers of disease presence or progression. METHODS: A proteomics approach based on two-dimensional electrophoresis and mass spectrometry was used to compare serum proteomic profiles of patients with AAA who are candidates for surgical repair compared with healthy controls. We analyzed in parallel the proteomic profile of subjects with cardiac heart failure to discriminate these two pathologies, which show similar pattern of systemic inflammation process. RESULTS: We identified in AAA subjects four serum proteins that show altered expression profile and that could be specifically linked to AAA pathology. We discuss the role of our identified proteins with their possible implications in disease outcome. CONCLUSIONS: This approach could provide an initial screening tool that may drive the basis for further research in the field of cardiovascular diseases. These results need to be validated in larger studies to find potential markers of AAA presence or progression to use in clinical settings. SUMMARY: A proteomics approach was used to compare serum proteomic profiles of patients with abdominal aortic aneurysm who are candidates for surgical repair compared with healthy controls. Four serum proteins showed altered expression profile that could be correlated with the pathology. This approach could provide an initial screening tool that may drive the basis for further research in the field of cardiovascular diseases.
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