A global network for network medicine

Collaborators, Affiliations

Collaborators

International Network Medicine Consortium:
Bradley A Maron, Lucia Altucci, Jean-Luc Balligand, Jan Baumbach, Peter Ferdinandy, Sebastiano Filetti, Paolo Parini, Enrico Petrillo, Edwin K Silverman, Albert-László Barabási, Joseph Loscalzo

Affiliations

¹ Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
² Department of Precision Medicine, University of Campania Luigi Vanvitelli, Napoli, Italy.
³ Institute of Clinical and Experimental Research (IREC), Faculty of Medicine, Universite´ catholique de Louvain, Brussels, Belgium.
⁴ Department of Experimental Bioinformatics, Technical University of Munich, Freising, Germany.
⁵ Department of Pharmacology and Pharmacotherapy, Semmelweis University, Budapest, Hungary.
⁶ Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy.
⁷ Department of Laboratory Medicine and Department of Medicine, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden.
⁸ Department of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA.
⁹ Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
¹⁰ Network Science Institute and Department of Physics, Northeastern University, Boston, MA, USA.
¹¹ Department of Network and Data Science, Central European University, Budapest, H-1051, Hungary.
¹² Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA. jloscalzo@rics.bwh.harvard.edu.
¹³ Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. jloscalzo@rics.bwh.harvard.edu.

PMID: 32868765
PMCID: PMC7459285
DOI: 10.1038/s41540-020-00143-9

A global network for network medicine

Bradley A Maron et al. NPJ Syst Biol Appl. 2020.

. 2020 Aug 31;6(1):29.

doi: 10.1038/s41540-020-00143-9.

Authors

Collaborators

International Network Medicine Consortium:
Bradley A Maron, Lucia Altucci, Jean-Luc Balligand, Jan Baumbach, Peter Ferdinandy, Sebastiano Filetti, Paolo Parini, Enrico Petrillo, Edwin K Silverman, Albert-László Barabási, Joseph Loscalzo

Affiliations

¹ Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
² Department of Precision Medicine, University of Campania Luigi Vanvitelli, Napoli, Italy.
³ Institute of Clinical and Experimental Research (IREC), Faculty of Medicine, Universite´ catholique de Louvain, Brussels, Belgium.
⁴ Department of Experimental Bioinformatics, Technical University of Munich, Freising, Germany.
⁵ Department of Pharmacology and Pharmacotherapy, Semmelweis University, Budapest, Hungary.
⁶ Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy.
⁷ Department of Laboratory Medicine and Department of Medicine, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden.
⁸ Department of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA.
⁹ Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
¹⁰ Network Science Institute and Department of Physics, Northeastern University, Boston, MA, USA.
¹¹ Department of Network and Data Science, Central European University, Budapest, H-1051, Hungary.
¹² Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA. jloscalzo@rics.bwh.harvard.edu.
¹³ Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. jloscalzo@rics.bwh.harvard.edu.

PMID: 32868765
PMCID: PMC7459285
DOI: 10.1038/s41540-020-00143-9

Abstract

Network Medicine is now an established scientific discipline, having generated key insights on integrated mechanisms underlying complex human diseases. The next discovery phase will emphasize innovating analytics that optimize networks for advancing precision medicine. Accomplishing this goal will require organizing a scientifically diverse team studying big datasets shared globally.

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Conflict of interest statement

B.A.M.: Consultant for Actelion Pharmaceuticals for a project unrelated to this current work; co-inventor on U.S. patent pending PCT/US2019/059890 and U.S. patent 9,605,047, which are not related to the current work. P.F.: Founder and CEO of Pharmahungary Group, a group of R&D companies. E.S.: In the past 3 years, he has received institutional grant support from GSK and Bayer. A.L.B.: is the founder of Scipher, Foodome and Nomix, companies that are using tools of network science to make an impact on health. J.L.: Co-founder of Scipher (for profit) Scientific Advisory Board (2013-to present), and consulting services. The remaining authors declare no competing interests.

References

1. Barabási AL. Network medicine–from obesity to the “diseasome”. N. Engl. J. Med. 2007;57:404–407. doi: 10.1056/NEJMe078114. - DOI - PubMed
1. Menche. J, et al. Disease networks. Uncovering disease-disease relationships through the incomplete interactome. Science. 2015;347:1257601. doi: 10.1126/science.1257601. - DOI - PMC - PubMed
1. Halu A, et al. Exploring the cross-phenotype network region of disease modules reveals concordant and discordant pathways between chronic obstructive pulmonary disease and idiopathic pulmonary fibrosis. Hum. Mol. Genet. 2019;28:2352–2364. doi: 10.1093/hmg/ddz069. - DOI - PMC - PubMed
1. Lee LY, Loscalzo J. Network medicine in pathobiology. Am. J. Pathol. 2019;189:1311–1326. doi: 10.1016/j.ajpath.2019.03.009. - DOI - PMC - PubMed
1. Maron BJ, Maron MS, Maron BA, Loscalzo J. Moving beyond the sarcomere to explain heterogeneity in hypertrophic cardiomyopathy: JACC Review Topic of the Week. J. Am. Coll. Cardiol. 2019;73:1978–1986. doi: 10.1016/j.jacc.2019.01.061. - DOI - PMC - PubMed

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A global network for network medicine

Collaborators

Affiliations

A global network for network medicine

Authors

Collaborators

Affiliations

Abstract

Conflict of interest statement

References

MeSH terms

LinkOut - more resources

Full Text Sources