Analytical methodology optimization by LC-MS/MS for determination of cardiovascular disease potential biomarkers in human plasma

• Grant number: 18/07683-0
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: June 01, 2018
• End date: December 31, 2018
• Field of knowledge: Physical Sciences and Mathematics - Chemistry - Analytical Chemistry
• Principal Investigator: Aline Klassen
• Grantee: Patrícia Cristine Mandú de Brito
• Host Institution: Instituto de Ciências Ambientais, Químicas e Farmacêuticas (ICAQF). Universidade Federal de São Paulo (UNIFESP). Campus Diadema. Diadema , SP, Brazil
• Associated research grant: 12/51692-7 - Role of adaptative immunity on the progress of ischemic heart disease after acute myocardial infarction, AP.TEM

Abstract

Due to the high number of cardiovascular disease deaths (CVD) there is an eminent search for new biomarkers that may aid in the diagnosis of diseases. Currently, in addition to diagnostic imaging, clinical evaluation is restricted to the evaluation of troponin and natriuretic peptide levels in biofluids. In this sense, the metabolomics (untageted or targeted) has been presented as a potential technique, since it aims to evaluate the changes in the organism at the molecular level, thus helping in the prognosis, diagnosis and follow-up of the disease evolution. Among the metabolites potentially related to cardiovascular diseases, the most notable are adenosine, trimethylamine oxide (TMAO) and L-carnitine. Elevated adenosine levels in the blood have been reported in improving patients' clinical status. On the other hand, the metabolites TMAO and L-carnitine have been shown to increase in the worsening of the infarcted patients. In this scenario, the present work aims to use a targeted metabolomics to monitor the levels of these metabolites in human plasma and to evaluate their relationship with the treatment of different drugs (clopidogrel and ticagrelor) in infarcted patients at different times of administration. For this, an LC-MS analytical methodology with an ESI-Jet Stream Thermal gradient ionization source will be developed and validated. (AU)