Literature DB >> 33165538

Network medicine in Cardiovascular Research.

Laurel Y Lee1, Arvind K Pandey1, Bradley A Maron1,2, Joseph Loscalzo1.   

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. Published on behalf of the European Society of Cardiology. All rights reserved.
© The Author(s) 2020. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Cardiovascular disease; Network medicine; Omics; Pathobiology; Precision medicine

Mesh:

Substances:

Year:  2021        PMID: 33165538      PMCID: PMC8404464          DOI: 10.1093/cvr/cvaa321

Source DB:  PubMed          Journal:  Cardiovasc Res        ISSN: 0008-6363            Impact factor:   10.787


  144 in total

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Review 4.  Moving Beyond the Sarcomere to Explain Heterogeneity in Hypertrophic Cardiomyopathy: JACC Review Topic of the Week.

Authors:  Barry J Maron; Martin S Maron; Bradley A Maron; Joseph Loscalzo
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5.  Predicting new molecular targets for known drugs.

Authors:  Michael J Keiser; Vincent Setola; John J Irwin; Christian Laggner; Atheir I Abbas; Sandra J Hufeisen; Niels H Jensen; Michael B Kuijer; Roberto C Matos; Thuy B Tran; Ryan Whaley; Richard A Glennon; Jérôme Hert; Kelan L H Thomas; Douglas D Edwards; Brian K Shoichet; Bryan L Roth
Journal:  Nature       Date:  2009-11-01       Impact factor: 49.962

6.  25-Hydroxyvitamin D deficiency is independently associated with cardiovascular disease in the Third National Health and Nutrition Examination Survey.

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Journal:  Atherosclerosis       Date:  2008-11-11       Impact factor: 5.162

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8.  A DIseAse MOdule Detection (DIAMOnD) algorithm derived from a systematic analysis of connectivity patterns of disease proteins in the human interactome.

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9.  Criteria for the use of omics-based predictors in clinical trials: explanation and elaboration.

Authors:  Lisa M McShane; Margaret M Cavenagh; Tracy G Lively; David A Eberhard; William L Bigbee; P Mickey Williams; Jill P Mesirov; Mei-Yin C Polley; Kelly Y Kim; James V Tricoli; Jeremy M G Taylor; Deborah J Shuman; Richard M Simon; James H Doroshow; Barbara A Conley
Journal:  BMC Med       Date:  2013-10-17       Impact factor: 11.150

10.  Finding multiple target optimal intervention in disease-related molecular network.

Authors:  Kun Yang; Hongjun Bai; Qi Ouyang; Luhua Lai; Chao Tang
Journal:  Mol Syst Biol       Date:  2008-11-04       Impact factor: 11.429

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Review 2.  Harnessing Big Data to Advance Treatment and Understanding of Pulmonary Hypertension.

Authors:  Christopher J Rhodes; Andrew J Sweatt; Bradley A Maron
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Review 3.  Artificial intelligence and thyroid disease management: considerations for thyroid function tests.

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Review 4.  Connections for Matters of the Heart: Network Medicine in Cardiovascular Diseases.

Authors:  Abhijeet Rajendra Sonawane; Elena Aikawa; Masanori Aikawa
Journal:  Front Cardiovasc Med       Date:  2022-05-19

5.  Lessons from the spatiotemporal expression patterns of RNA vs. proteins during the cell cycle.

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Journal:  Cardiovasc Res       Date:  2021-07-07       Impact factor: 13.081

Review 6.  Redefining the hypotheses driving Parkinson's diseases research.

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7.  A Sedentary and Unhealthy Lifestyle Fuels Chronic Disease Progression by Changing Interstitial Cell Behaviour: A Network Analysis.

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8.  Estimation of biological heart age using cardiovascular magnetic resonance radiomics.

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Journal:  Sci Rep       Date:  2022-07-27       Impact factor: 4.996

9.  Meeting the Challenges of Myocarditis: New Opportunities for Prevention, Detection, and Intervention-A Report from the 2021 National Heart, Lung, and Blood Institute Workshop.

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  9 in total

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