Deciphering the molecular basis of human cardiovascular disease through network biology

Current Opinion in Cardiology

Volumn 27, Issue 3, 2012, Pages 202-209

  Chan, Stephen Y ^a   White, Kevin ^a   Loscalzo, Joseph ^a  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

cardiovascular disease; network medicine; systems biology

Indexed keywords

ATHEROSCLEROSIS; CARDIOVASCULAR DISEASE; GENE INTERACTION; GENE MAPPING; GENETIC ASSOCIATION; GENETIC LINKAGE; HEREDITY; NETWORK MEDICINE; PATHOGENESIS; PHENOTYPE; PRIORITY JOURNAL; REVIEW; SYSTEMS BIOLOGY;

CARDIOVASCULAR DISEASES; DATABASES, GENETIC; DRUG DESIGN; HUMANS; MOLECULAR BIOLOGY; PHARMACOGENETICS; SYSTEMS BIOLOGY;

EID: 84859914495     PISSN: 02684705     EISSN: 15317080     Source Type: Journal    
DOI: 10.1097/HCO.0b013e3283515b31     Document Type: Review

References (32)

1. Osler W. The principles and practice of medicine. New York: Appleton 1892.
2. Barabasi AL, Gulbahce N, Loscalzo J. Network medicine: a network-based approach to human disease. Nat Rev Genet 2011; 12:56-68.
3. Lusis AJ, Weiss JN. Cardiovascular networks: systems-based approaches to cardiovascular disease. Circulation 2010; 121:157-170.
4. Kormeier B, Hippe K, Topel T, Hofestadt R. CardioVINEdb: a data warehouse approach for integration of life science data in cardiovascular diseases. J Integr Bioinform 2010; 7:142.
5. Skogsberg J, Lundstrom J, Kovacs A, et al. Transcriptional profiling uncovers a network of cholesterol-responsive atherosclerosis target genes. PLoS Genet 2008; 4:e1000036.
6. Gargalovic PS, Imura M, Zhang B, et al. Identification of inflammatory gene modules based on variations of human endothelial cell responses to oxidized lipids. Proc Natl Acad Sci U S A 2006; 103:12741-12746. (Pubitemid 44298631)
7. Greenstein JL, Winslow RL. Integrative systems models of cardiac excitationcontraction coupling. Circ Res 2011; 108:70-84.
8. Loscalzo J, Barabasi AL. Systems biology and the future of medicine. Wiley Interdiscip Rev Syst Biol Med 2011; 3:619-627.
9. Yu H, Braun P, Yildirim MA, et al. High-quality binary protein interaction map of the yeast interactome network. Science 2008; 322:104-110.
10. Goh KI, Cusick ME, Valle D, et al. The human disease network. Proc Natl Acad Sci U S A 2007; 104:8685-8690. (Pubitemid 47175372)
11. Reimand J, Tooming L, Peterson H, et al. GraphWeb: mining heterogeneous biological networks for gene modules with functional significance. Nucleic Acids Res 2008; 36:W452-459.
12. Jensen MK, Pers TH, Dworzynski P, et al. Protein interaction-based genomewide analysis of incident coronary heart disease. Circ Cardiovasc Genet 2011; 4:549-556.
13. Ghazalpour A, Doss S, Zhang B, et al. Integrating genetic and network analysis to characterize genes related to mouse weight. PLoS Genet 2006; 2:e130.
14. Schlesinger J, Schueler M, Grunert M, et al. The cardiac transcription network modulated by Gata4, Mef2a, Nkx2.5, Srf, histone modifications, and microRNAs. PLoS Genet 2011; 7:e1001313.
15. Azuaje FJ, Rodius S, Zhang L, et al. Information encoded in a network of inflammation proteins predicts clinical outcome after myocardial infarction. BMC Med Genomics 2011; 4:59.
16. Ashley EA, Ferrara R, King JY, et al. Network analysis of human in-stent restenosis. Circulation 2006; 114:2644-2654. (Pubitemid 44967348)
17. Wang SS, Schadt EE, Wang H, et al. Identification of pathways for atherosclerosis in mice: integration of quantitative trait locus analysis and global gene expression data. Circ Res 2007; 101:e11-e30. (Pubitemid 47344081)
18. Civelek M, Manduchi E, Riley RJ, et al. Coronary artery endothelial transcriptome in vivo: identification of endoplasmic reticulum stress and enhanced reactive oxygen species by gene connectivity network analysis. Circ Cardiovasc Genet 2011; 4:243-252.
19. Diez D, Wheelock AM, Goto S, et al. The use of network analyses for elucidating mechanisms in cardiovascular disease. Mol Biosyst 2010; 6:289-304.
20. Romanoski CE, Che N, Yin F, et al. Network for activation of human endothelial cells by oxidized phospholipids: a critical role of heme oxygenase 1. Circ Res 2011; 109:e27-e41.
21. Parikh VN, Jin RC, Rabello S, et al. A network biology approach reveals that microRNA- 21 integrates pathogenic signaling to control pulmonary hypertension. Circulation (in press).
22. Vanunu O, Magger O, Ruppin E, et al. Associating genes and protein complexes with disease via network propagation. PLoS Comput Biol 2010; 6:e1000641.
23. Navlakha S, Kingsford C. The power of protein interaction networks for associating genes with diseases. Bioinformatics 2010; 26:1057-1063.
24. Hidalgo CA, Blumm N, Barabasi AL, Christakis NA. A dynamic network approach for the study of human phenotypes. PLoS Comput Biol 2009; 5:e1000353.
25. Dewey FE, Perez MV, Wheeler MT, et al. Gene coexpression network topology of cardiac development, hypertrophy, and failure. Circ Cardiovasc Genet 2011; 4:26-35.
26. Campillos M, Kuhn M, Gavin AC, et al. Drug target identification using sideeffect similarity. Science 2008; 321:263-266. (Pubitemid 351989100)
27. Sorger PK, Allerheiligen SRB, Abernethy DR, et al. Quantitative and systems pharmacology in the postgenomic era: new approaches to discovering drugs and understanding therapeutic mechanisms. In: An NIH White Paper by the QSP Workshop Group; October 2011; Bethesda. NIH; 2011. pp. 1-47. http://isp.hms.harvard.edu/wordpress/wp-content/uploads/2011/10/ NIH-Systems-Pharma-Whitepaper-Sorger-et-al- 2011. pdf
28. Shen Y, Liu J, Estiu G, et al. Blueprint for antimicrobial hit discovery targeting metabolic networks. Proc Natl Acad Sci U S A 2010; 107: 1082-1087.
29. Liu YY, Slotine JJ, Barabasi AL. Controllability of complex networks. Nature 2011; 473:167-173.
30. Ashley EA, Butte AJ, Wheeler MT, et al. Clinical assessment incorporating a personal genome. Lancet 2011; 375:1525-1535.
31. Suhre K, Shin SY, Petersen AK, et al. Human metabolic individuality in biomedical and pharmaceutical research. Nature 2011; 477:54-60.
32. Loscalzo J, Kohane I, Barabasi AL. Human disease classification in the postgenomic era: a complex systems approach to human pathobiology. Mol Syst Biol 2007; 3:124.