Abstract
Atherosclerosis, a chronic inflammatory disease of the vascular system, presents significant challenges to developing effective molecular diagnostics and novel therapies. A systems biology approach integrating data from large-scale measurements (e.g. transcriptomics, proteomics and genomics) is successfully contributing to deciphering regulatory networks underlying the response of many different cellular systems to perturbations. Such a network analysis strategy using pathway information and data from multiple measurement platforms, tissues and species is a promising approach to elucidate the mechanistic underpinnings of complex diseases. Here, we present our views on the contributions that a systems approach can bring to the study of atherosclerosis, propose ways to tackle the complexity of the disease in a systems manner and review recent systems-level studies of the disease.
Highlights
Atherosclerosis, a chronic inflammatory disease of the vascular system, presents significant challenges to developing effective molecular diagnostics and novel therapies
Atherosclerosis and systems biology deciphering regulatory networks underlying the response of many different cellular systems to perturbations. Such a network analysis strategy using pathway information and data from multiple measurement platforms, tissues and species is a Atherosclerosis is a complex multifactorial disease characterized by the accumulation of inflammatory cells, lipoproteins and fibrous tissue in the promising approach to elucidate the mechanistic underpinnings of complex diseases
We present our views on the contributions that a systems approach can bring to the study of atherosclerosis, propose ways to tackle the complexity of the disease in a systems manner and review recent systems-level studies of the disease
Summary
A systems biology approach integrating data from large-scale measurements (e.g. transcriptomics, proteomics and genomics) is successfully contributing to Atherosclerosis and systems biology deciphering regulatory networks underlying the response of many different cellular systems to perturbations. Its practice begins with the acquisition of global sets of biological data from as many hierarchical levels of information as possible [i.e. deoxyribonucleic acid (DNA) sequences, ribonucleic acid (RNA) expression, protein or lipid abundance] This is the starting point for formulating detailed graphical or mathematical models, which. Taking the atherosclerosis analogy further, a researcher or clinician could (1) predict the body’s response to, for example, a new diet or medication and (2) design an appropriate intervention that prevents atherosclerosis-promoting events or shifts them to anti-atherosclerotic ones This latter possibility lies at the heart of preventative medicine.
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