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Connections for Matters of the Heart: Network Medicine in Cardiovascular Diseases

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 diseas...

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Autores principales: Sonawane, Abhijeet Rajendra, Aikawa, Elena, Aikawa, Masanori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9160390/
https://www.ncbi.nlm.nih.gov/pubmed/35665246
http://dx.doi.org/10.3389/fcvm.2022.873582
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author Sonawane, Abhijeet Rajendra
Aikawa, Elena
Aikawa, Masanori
author_facet Sonawane, Abhijeet Rajendra
Aikawa, Elena
Aikawa, Masanori
author_sort Sonawane, Abhijeet Rajendra
collection PubMed
description 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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spelling pubmed-91603902022-06-03 Connections for Matters of the Heart: Network Medicine in Cardiovascular Diseases Sonawane, Abhijeet Rajendra Aikawa, Elena Aikawa, Masanori Front Cardiovasc Med Cardiovascular Medicine 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. Frontiers Media S.A. 2022-05-19 /pmc/articles/PMC9160390/ /pubmed/35665246 http://dx.doi.org/10.3389/fcvm.2022.873582 Text en Copyright © 2022 Sonawane, Aikawa and Aikawa. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Sonawane, Abhijeet Rajendra
Aikawa, Elena
Aikawa, Masanori
Connections for Matters of the Heart: Network Medicine in Cardiovascular Diseases
title Connections for Matters of the Heart: Network Medicine in Cardiovascular Diseases
title_full Connections for Matters of the Heart: Network Medicine in Cardiovascular Diseases
title_fullStr Connections for Matters of the Heart: Network Medicine in Cardiovascular Diseases
title_full_unstemmed Connections for Matters of the Heart: Network Medicine in Cardiovascular Diseases
title_short Connections for Matters of the Heart: Network Medicine in Cardiovascular Diseases
title_sort connections for matters of the heart: network medicine in cardiovascular diseases
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9160390/
https://www.ncbi.nlm.nih.gov/pubmed/35665246
http://dx.doi.org/10.3389/fcvm.2022.873582
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