Arun Bandyopadhyay
Indian Institute of Chemical Biology, India
Posters & Accepted Abstracts: J Chromatogr Sep Tech
Risk prediction of acute event of the subjects suffering from cardiovascular disease is an important strategy to save millions of lives. Thus, the detection, identification and characterization of variations in the proteome occurring during the course of heart disease will provide both insight into the underlying molecular mechanisms and potential cardiac specific biomarkers for regular, systematic observation and assessment of cardiac status. In the present study, we tried to identify the proteins in rheumatic heart disease and coronary artery disease in Indian subpopulation utilizing various proteomic tools. We utilized on-line label-free MS/MS using blood plasma as the source material. On-line LC-ESI-MS is the method of choice because the initial LC separation step decreases the amount of analytes that can be simultaneously ionized. Such label-free quantitative LC-MS approaches can compare innumerable samples. Therefore, they are ideal for biomarker discovery because experimental workflows normally compare a large number of specimens to validate the results from a statistical point of view. Consequently, we have identified 1500 proteins in plasma sample of acute coronary syndrome (heart failure) subjects by using Orbitrap LTQ (Thermo). During validation experiment one of the proteins ICB/CAD/1 is found to be significantly altered in the patient sample. The label-free quantitative LC-MS methods employed in this study helped to analyze the full potential of clinical plasma samples as a source of disease biomarkers in RHD and CAD; some of which might play an important role in the pathophysiology of RHD and CAD and improve the existing diagnostic strategies.
Email: arunb2523@gmail.com
