Heart failure (HF) is a complex clinical syndrome caused by a wide range of cardiovascular disorders, such as structural or functional abnormalities of the heart. The clinical status of a HF patient can be evaluated by detecting specific biomarkers of pathogenic biological processes. Beside conventional clinical investigations, oral fluid analysis have been recognized as one of the most effective, easy, painless and non-invasive ways of identifying physiological and pathophysiological conditions. This study was focused on the development and validation of analytical methods based on UHPLC-MS/MS, spectrophotometric and immunochemical techniques to determine specific salivary biomarkers. Tumor necrosis factor-, interleukin-10, 8-iso-prostaglandin F2, uric acid, aldosterone, -amylase, lactate and cortisol in oral fluid samples were determined. Special attention was paid to the optimization of the sampling procedures and sample handling. Each biomarker is representative of a pathological condition occurring with the HF syndrome, so that abnormal levels of these molecules could be associated with the severity and progression of the disease. The methods were then used in the framework of the H2020 HEARTEN Project and to support the development of specific biosensors able to anticipate critical exacerbation episodes by rising an alarm in hospital information systems remotely connected by an mHealth application.
Determination of biomarkers in oral fluid for monitoring heart failure patients
Tommaso Lomonaco;Silvia Ghimenti;Valentina Barletta;D'AGOSTINO, ANDREINA;Denise Biagini;Mario Marzilli;Fabio Di Francesco;Roger Fuoco
2017-01-01
Abstract
Heart failure (HF) is a complex clinical syndrome caused by a wide range of cardiovascular disorders, such as structural or functional abnormalities of the heart. The clinical status of a HF patient can be evaluated by detecting specific biomarkers of pathogenic biological processes. Beside conventional clinical investigations, oral fluid analysis have been recognized as one of the most effective, easy, painless and non-invasive ways of identifying physiological and pathophysiological conditions. This study was focused on the development and validation of analytical methods based on UHPLC-MS/MS, spectrophotometric and immunochemical techniques to determine specific salivary biomarkers. Tumor necrosis factor-, interleukin-10, 8-iso-prostaglandin F2, uric acid, aldosterone, -amylase, lactate and cortisol in oral fluid samples were determined. Special attention was paid to the optimization of the sampling procedures and sample handling. Each biomarker is representative of a pathological condition occurring with the HF syndrome, so that abnormal levels of these molecules could be associated with the severity and progression of the disease. The methods were then used in the framework of the H2020 HEARTEN Project and to support the development of specific biosensors able to anticipate critical exacerbation episodes by rising an alarm in hospital information systems remotely connected by an mHealth application.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
