The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
Epigenetics and cardiovascular disease
Open accessAbstract
Despite advances in the prevention and management of cardiovascular disease (CVD), this group of multifactorial disorders remains a leading cause of mortality worldwide. CVD is associated with multiple genetic and modifiable risk factors; however, known environmental and genetic influences can only explain a small part of the variability in CVD risk, which is a major obstacle for its prevention and treatment. A more thorough understanding of the factors that contribute to CVD is, therefore, needed to develop more efficacious and cost-effective therapy. Application of the 'omics' technologies will hopefully make these advances a reality. Epigenomics has emerged as one of the most promising areas that will address some of the gaps in our current knowledge of the interaction between nature and nurture in the development of CVD. Epigenetic mechanisms include DNA methylation, histone modification, and microRNA alterations, which collectively enable the cell to respond quickly to environmental changes. A number of CVD risk factors, such as nutrition, smoking, pollution, stress, and the circadian rhythm, have been associated with modification of epigenetic marks. Further examination of these mechanisms may lead to earlier prevention and novel therapy for CVD.
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1 retracted
Kitagawa, H., Fujiki, R., Yoshimura, K., Mezaki, Y., Uematsu, Y., Matsui, D., Ogawa, S., Unno, K., Okubo, M., Tokita, A., et al. (2003) · Cell · doi:10.1016/s0092-8674(03)00436-7 · Cited by 268
RetractedBartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
Projections of Global Mortality and Burden of Disease from 2002 to 2030
Mathers, C. D., & Loncar, D. (2006) · PLoS Medicine · doi:10.1371/journal.pmed.0030442 · Cited by 11,386 · cited 1×
“The prevalence of CVD has increased dramatically over the past 100 years, and this disease will remain a major health concern for the next two decades, even under the most optimistic scenarios”
Chromatin modifications and their function
Kouzarides, T. (2007) · Cell · doi:10.1016/j.cell.2007.02.005 · Cited by 10,883
Finding the missing heritability of complex diseases
Manolio, T. A., Collins, F. S., Cox, N. J., Goldstein, D. B., Hindorff, L. A., Hunter, D. J., McCarthy, M. I., Ramos, E. M., Cardon, L. R., Chakravarti, A., et al. (2009) · Nature · doi:10.1038/nature08494 · Cited by 8,336
DNA methylation patterns and epigenetic memory
Bird, A. (2002) · Genes & Development · doi:10.1101/gad.947102 · Cited by 7,124
Grundy, S. M., Cleeman, J. I., Merz, C. N. B., Brewer, H. B., Clark, L. T., Hunninghake, D. B., Pasternak, R. C., Smith, S. C., & Stone, N. J. (2004) · Circulation · doi:10.1161/01.cir.0000133317.49796.0e · Cited by 6,902
High-Resolution Profiling of Histone Methylations in the Human Genome
Barski, A., Cuddapah, S., Cui, K., Roh, T.-Y., Schones, D. E., Wang, Z., Wei, G., Chepelev, I., & Zhao, K. (2007) · Cell · doi:10.1016/j.cell.2007.05.009 · Cited by 6,845
Regulation of chromatin by histone modifications
Bannister, A. J., & Kouzarides, T. (2011) · Cell Research · doi:10.1038/cr.2011.22 · Cited by 6,012
Conversion of 5-Methylcytosine to 5-Hydroxymethylcytosine in Mammalian DNA by MLL Partner TET1
Tahiliani, M., Koh, K. P., Shen, Y., Pastor, W. A., Bandukwala, H., Brudno, Y., Agarwal, S., Iyer, L. M., Liu, D. R., Aravind, L., et al. (2009) · Science · doi:10.1126/science.1170116 · Cited by 5,836
Cited by
Arsenic and human health effects: A review
Mohammed Abdul, K. S., Jayasinghe, S. S., Chandana, E. P. S., Jayasumana, C., & De Silva, P. M. C. S. (2015) · Environmental Toxicology and Pharmacology · doi:10.1016/j.etap.2015.09.016 · Cited by 907
Non-coding RNAs as regulators of gene expression and epigenetics
Kaikkonen, M. U., Lam, M. T. Y., & Glass, C. K. (2011) · Cardiovascular Research · doi:10.1093/cvr/cvr097 · Cited by 764
Pro- and anti-inflammatory effects of short chain fatty acids on immune and endothelial cells
Li, M., van Esch, B. C. A. M., Wagenaar, G. T. M., Garssen, J., Folkerts, G., & Henricks, P. A. J. (2018) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2018.05.003 · Cited by 614
Transportation noise pollution and cardiovascular disease
Münzel, T., Sørensen, M., & Daiber, A. (2021) · Nature Reviews Cardiology · doi:10.1038/s41569-021-00532-5 · Cited by 572
The pathophysiology of hypertension in patients with obesity
DeMarco, V. G., Aroor, A. R., & Sowers, J. R. (2014) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2014.44 · Cited by 545
Metadata
- Authors
- Ordovás, J. M., & Smith, C. E.
- Venue
- Nature Reviews Cardiology
- Published
- 2010-07-06
- Volume
- 7
- Issue
- 9
- Pages
- 510-519
- ISSN
- 1759-5002 (ISSN-L)
- 1759-5010
- OpenAlex
- W2066636897
- Cited by
- 402
- References
- 68
- FWCI
- 1.78
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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