title: Understanding different facets of cardiovascular diseases based on model systems to human studies: a proteomic and metabolomic perspective.
abstract: Cardiovascular disease has remained as the largest cause of morbidity and mortality worldwide. From dissecting the disease aetiology to identifying prognostic markers for better management of the disease is still a challenge for researchers. In the post human genome sequencing era much of the thrust has been focussed towards application of advanced genomic tools along with evaluation of traditional risk factors. With the advancement of next generation proteomics and metabolomics approaches it has now become possible to understand the protein interaction network & metabolic rewiring which lead to the perturbations of the disease phenotype. Further, elucidating different post translational modifications using advanced mass spectrometry based methods have provided an impetus towards in depth understanding of the proteome. The past decade has observed a plethora of studies where proteomics has been applied successfully to identify potential prognostic and diagnostic markers as well as to understand the disease mechanisms for various types of cardiovascular diseases. In this review, we attempted to document relevant proteomics based studies that have been undertaken either to identify potential biomarkers or have elucidated newer mechanistic insights into understanding the patho-physiology of cardiovascular disease, primarily coronary artery disease, cardiomyopathy, and myocardial ischemia. We have also provided a perspective on the potential of proteomics in combating this deadly disease.
  
  
  CONCLUSIONS
  This review has catalogued recent studies on proteomics and metabolomics involved in understanding several cardiovascular diseases (CVDs). A holistic systems biology based approach, of which proteomics and metabolomics are two very important components, would help in delineating various pathways associated with complex disorders like CVD. This would ultimately provide better mechanistic understanding of the disease biology leading to development of prognostic biomarkers. This article is part of a Special Issue entitled: Proteomics in India.
authors.affiliation: Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, Sukhdev Vihar, Mathura Road, New Delhi 110020, India; Academy of Scientific & Innovative Research (AcSIR), CSIR-IGIB South Campus, New Delhi, India. Electronic address: trayambak.basak@gmail.com.
authors.forename: Trayambak
authors.initials: T
authors.lastname: Basak
authors.affiliation: Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, Sukhdev Vihar, Mathura Road, New Delhi 110020, India; Academy of Scientific & Innovative Research (AcSIR), CSIR-IGIB South Campus, New Delhi, India.
authors.forename: Swati
authors.initials: S
authors.lastname: Varshney
authors.affiliation: Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, Sukhdev Vihar, Mathura Road, New Delhi 110020, India.
authors.forename: Shamima
authors.initials: S
authors.lastname: Akhtar
authors.affiliation: Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, Sukhdev Vihar, Mathura Road, New Delhi 110020, India; Academy of Scientific & Innovative Research (AcSIR), CSIR-IGIB South Campus, New Delhi, India. Electronic address: shantanus@igib.res.in.
authors.forename: Shantanu
authors.initials: S
authors.lastname: Sengupta
mesh_terms: D000818:Animals; D015415:Biomarkers / Q000378:metabolism; D002318:Cardiovascular Diseases / Q000378:metabolism*; D006801:Humans; D055432:Metabolomics / Q000379:methods* / Q000639:trends*; D040901:Proteomics / Q000379:methods* / Q000639:trends*
chemical_list: D015415:Biomarkers
keywords: Cardiomyopathy; Cardiovascular diseases; Mass spectrometry; Model system; Proteomics