Key result
Systems biology approaches like proteomics and computational modelling clarify pathophysiology in compromised heart function.
Proteomics and computational modeling serve as important systems biology tools to decipher the molecular mechanisms underlying cardiac diseases and heart failure.
May guide mechanistic HF research; leaves open clinical translation pending prospective validation.
Cardiac diseases resulting in heart failure have become one of the major causes of mortality as well as reduced quality of life for people all over the world. In an effort to understand the mechanisms underlying cardiac diseases and devise preventive as well as therapeutic measures, a lot of research has been carried out over the years. Two systems biology approaches- proteomics and computational modelling have drastically changed the field of cardiac research by delivering vast amounts of relevant molecular data thus enhancing the interpretation of both clinical as well as subcellular events dictating pathophysiology during compromised heart function. This review specifically focuses on the contributions of such systems biology approaches in proper understanding of the pathophysiology of diseased myocardium.
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Sagartirtha Sarkar (2015) conducted a review in Cardiac diseases and heart failure. Proteomics and computational modelling was evaluated. Systems biology approaches like proteomics and computational modelling enhance the interpretation of clinical and subcellular events dictating pathophysiology in compromised heart function.
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