Network medicine in Cardiovascular Research

Abstract The ability to generate multi-omics data coupled with deeply characterizing the clinical phenotype of individual patients promises to improve understanding of complex cardiovascular pathobiology. There remains an important disconnection between the magnitude and granularity of these data an...

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Bibliographic Details
Published in:Cardiovascular research 2021-08, Vol.117 (10), p.2186-2202
Main Authors: Lee, Laurel Y, Pandey, Arvind K, Maron, Bradley A, Loscalzo, Joseph
Format: Article
Language:English
Subjects:
Animals
Biomarkers - metabolism
Biomedical Research - methods
Cardiovascular Agents - therapeutic use
Cardiovascular Diseases - drug therapy
Cardiovascular Diseases - genetics
Cardiovascular Diseases - metabolism
Cardiovascular Diseases - physiopathology
Computational Biology
Drug Repositioning
Gene Expression Profiling
Gene Regulatory Networks
Genetic Association Studies
Humans
Precision Medicine
Predictive Value of Tests
Prognosis
Protein Interaction Maps
Proteome
Proteomics
Reviews
Risk Assessment
Risk Factors
Signal Transduction
Systems Biology
Transcriptome
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Summary:Abstract The ability to generate multi-omics data coupled with deeply characterizing the clinical phenotype of individual patients promises to improve understanding of complex cardiovascular pathobiology. There remains an important disconnection between the magnitude and granularity of these data and our ability to improve phenotype–genotype correlations for complex cardiovascular diseases. This shortcoming may be due to limitations associated with traditional reductionist analytical methods, which tend to emphasize a single molecular event in the pathogenesis of diseases more aptly characterized by crosstalk between overlapping molecular pathways. Network medicine is a rapidly growing discipline that considers diseases as the consequences of perturbed interactions between multiple interconnected biological components. This powerful integrative approach has enabled a number of important discoveries in complex disease mechanisms. In this review, we introduce the basic concepts of network medicine and highlight specific examples by which this approach has accelerated cardiovascular research. We also review how network medicine is well-positioned to promote rational drug design for patients with cardiovascular diseases, with particular emphasis on advancing precision medicine.
ISSN:0008-6363
1755-3245
DOI:10.1093/cvr/cvaa321