Abstract
Recently, the pathogenesis of coronary atherosclerosis in a swine model has been investigated by considering in particular the effects of a high cholesterol diet lasting 8 or 16 weeks. The proposed systems medicine approach integrating data of plasma adhesion molecules, cytokines, lipoproteins, tissue proteins and histology allowed for an assessment of their relationships with artery-specific proteins.
Highlights
Background & RationaleRecently, the pathogenesis of coronary atherosclerosis - a primary cause of cardiovascular disease – studied in a swine model has been investigated by considering in particular the effects of a high cholesterol diet lasting 8 or 16 weeks [1]
The pathogenesis of coronary atherosclerosis - a primary cause of cardiovascular disease – studied in a swine model has been investigated by considering in particular the effects of a high cholesterol diet lasting 8 or 16 weeks [1]
From the available coronary secreted protein data (n=200) obtained by LC- MS identifications and peptide peak related expression values, the protein interaction networks (PIN) configurations are obtained in two steps
Summary
Background & RationaleRecently, the pathogenesis of coronary atherosclerosis - a primary cause of cardiovascular disease – studied in a swine model has been investigated by considering in particular the effects of a high cholesterol diet lasting 8 or 16 weeks [1]. The proposed systems medicine approach integrating data of plasma adhesion molecules, cytokines, lipoproteins, tissue proteins and histology allowed for an assessment of their relationships with artery-specific proteins. We send the reader to the seminal paper for experimental and computational details, and data collection modalities. While macrophage-related proteins were found significantly and positively associated to the atherogenesis-inflammatory disorder, the study of protein connectivity patterns remains to be investigated. This is a relevant step, because such type of evidence synthesis could lead to signatures of markers. Through the popular tool STRING [2], we aim to inspect protein-protein interaction networks (PIN), i.e. whether they can generate interpretable and testable hypotheses in such a complex experimental context with potential clinical impact
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