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Connections for Matters of the Heart: Network Medicine in Cardiovascular Diseases
Abhijeet Rajendra Sonawane1,2, Elena Aikawa1,2, Masanori Aikawa1,2
1Center for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Insights
Network medicine, utilizing multiomics data, offers a comprehensive systems biology approach to understanding cardiovascular diseases (CVD). This review explores network medicine
Area of Science:
- Biomedical research
- Systems biology
- Network medicine
Background:
- Cardiovascular diseases (CVD) affect millions globally, encompassing diverse heart and vascular disorders.
- Multiomics data is increasingly utilized in CVD research for understanding disease mechanisms and patient stratification.
- Traditional reductionist approaches are being complemented by systems biology for a holistic disease perspective.
Purpose of the Study:
- To review the application of network medicine in cardiovascular disease research.
- To highlight network medicine's role in translating in silico findings to clinical practice.
- To discuss how network medicine enhances the understanding of CVD etiologies and biomarkers.
Main Methods:
- Review of current literature on network medicine and CVD.
- Discussion of systems biology principles applied to cardiovascular research.
- Exploration of in silico methodologies in network medicine for CVD.
Main Results:
- Network medicine provides a framework for integrating multiomics data in CVD research.
- It facilitates the identification of disease mechanisms, biomarkers, and therapeutic targets.
- Network medicine aids in patient stratification into distinct disease endotypes.
Conclusions:
- Network medicine represents a powerful approach for advancing cardiovascular disease research.
- Its systems biology perspective is crucial for comprehensive disease understanding.
- The integration of network medicine accelerates the translation of research findings for CVD.
Abstract:
Cardiovascular diseases (CVD) are diverse disorders affecting the heart and vasculature in millions of people worldwide. Like other fields, CVD research has benefitted from the deluge of multiomics biomedical data. Current CVD research focuses on disease etiologies and mechanisms, identifying disease biomarkers, developing appropriate therapies and drugs, and stratifying patients into correct disease endotypes. Systems biology offers an alternative to traditional reductionist approaches and provides impetus for a comprehensive outlook toward diseases. As a focus area, network medicine specifically aids the translational aspect of in silico research. This review discusses the approach of network medicine and its application to CVD research.
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