The DOI matches its Crossref record; 149 of the 149 references it cites were found in a registry or an index.
Inflammatory mechanisms linking periodontal diseases to cardiovascular diseases
Open accessAbstract
Aims: In this article, inflammatory mechanisms that link periodontal diseases to cardiovascular diseases are reviewed. Methods: This article is a literature review. Results: Studies in the literature implicate a number of possible mechanisms that could be responsible for increased inflammatory responses in atheromatous lesions due to periodontal infections. These include increased systemic levels of inflammatory mediators stimulated by bacteria and their products at sites distant from the oral cavity, elevated thrombotic and hemostatic markers that promote a prothrombotic state and inflammation, cross‐reactive systemic antibodies that promote inflammation and interact with the atheroma, promotion of dyslipidemia with consequent increases in pro‐inflammatory lipid classes and subclasses, and common genetic susceptibility factors present in both disease leading to increased inflammatory responses. Conclusions: Such mechanisms may be thought to act in concert to increase systemic inflammation in periodontal disease and to promote or exacerbate atherogenesis. However, proof that the increase in systemic inflammation attributable to periodontitis impacts inflammatory responses during atheroma development, thrombotic events or myocardial infarction or stroke is lacking.
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Cites
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
The Wellcome Trust Case Control Consortium, Management Committee, Burton, P. R., Clayton, D. G., Cardon, L. R., Craddock, N., Deloukas, P., Duncanson, A., Kwiatkowski, D. P., McCarthy, M. I., et al. (2007) · Nature · doi:10.1038/nature05911 · Cited by 9,442
Long non-coding RNAs: insights into functions
Mercer, T. R., Dinger, M. E., & Mattick, J. S. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2521 · Cited by 5,654
Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels
Saxena, R., Voight, B. F., Lyssenko, V., Burtt, N. P., de Bakker, P. I. W., Chen, H., Roix, J. J., Kathiresan, S., Hirschhorn, J. N., Daly, M. J., et al. (2007) · Science · doi:10.1126/science.1142358 · Cited by 2,843
A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants
Scott, L. J., Mohlke, K. L., Bonnycastle, L. L., Willer, C. J., Li, Y., Duren, W. L., Erdos, M. R., Stringham, H. M., Chines, P. S., Jackson, A. U., et al. (2007) · Science · doi:10.1126/science.1142382 · Cited by 2,753
Inflammation in Atherosclerosis
Libby, P., Ridker, P. M., & Hansson, G. K. (2009) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2009.09.009 · Cited by 2,228
Replication of Genome-Wide Association Signals in UK Samples Reveals Risk Loci for Type 2 Diabetes
Zeggini, E., Weedon, M. N., Lindgren, C. M., Frayling, T. M., Elliott, K. S., Lango, H., Timpson, N. J., Perry, J. R. B., Rayner, N. W., Freathy, R. M., et al. (2007) · Science · doi:10.1126/science.1142364 · Cited by 2,194
Genomewide Association Analysis of Coronary Artery Disease
Samani, N. J., Erdmann, J., Hall, A. S., Hengstenberg, C., Mangino, M., Mayer, B., Dixon, R. J., Meitinger, T., Braund, P., Wichmann, H.-E., et al. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa072366 · Cited by 2,044
Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease
Cardiogenics, Schunkert, H., the CARDIoGRAM Consortium, König, I. R., Kathiresan, S., Reilly, M. P., Assimes, T. L., Holm, H., Preuss, M., Stewart, A. F. R., et al. (2011) · Nature Genetics · doi:10.1038/ng.784 · Cited by 1,866
A Common Variant on Chromosome 9p21 Affects the Risk of Myocardial Infarction
Helgadottir, A., Thorleifsson, G., Manolescu, A., Gretarsdottir, S., Blondal, T., Jonasdottir, A., Jonasdottir, A., Sigurdsson, A., Baker, A., Palsson, A., et al. (2007) · Science · doi:10.1126/science.1142842 · Cited by 1,594 · cited 1×
“Several susceptibility loci for CVD have been identified by various genome-wide association studies (GWAS) (Consortium, W.T.C.C 2007, Helgadottir et al. 2007, McPherson et al. 2007, Samani et al. 2007), and the ANRIL locus is the best replicated coronary heart disease associated risk locus to date…”
A Common Allele on Chromosome 9 Associated with Coronary Heart Disease
McPherson, R., Pertsemlidis, A., Kavaslar, N., Stewart, A., Roberts, R., Cox, D. R., Hinds, D. A., Pennacchio, L. A., Tybjaerg-Hansen, A., Folsom, A. R., et al. (2007) · Science · doi:10.1126/science.1142447 · Cited by 1,587
Cited by
Periodontitis and cardiovascular diseases: Consensus report
Sanz, M., Marco del Castillo, A., Jepsen, S., Gonzalez‐Juanatey, J. R., D’Aiuto, F., Bouchard, P., Chapple, I., Dietrich, T., Gotsman, I., Graziani, F., et al. (2020) · Journal of Clinical Periodontology · doi:10.1111/jcpe.13189 · Cited by 1,482
Self-citationTonetti, M. S., Van Dyke, T. E., & on behalf of working group 1 of the joint EFP/AAP workshop (2013) · Journal of Periodontology · doi:10.1902/jop.2013.1340019 · Cited by 697
Arimatsu, K., Yamada, H., Miyazawa, H., Minagawa, T., Nakajima, M., Ryder, M. I., Gotoh, K., Motooka, D., Nakamura, S., Iida, T., et al. (2014) · Scientific Reports · doi:10.1038/srep04828 · Cited by 573
Mechanisms underlying the association between periodontitis and atherosclerotic disease
Schenkein, H. A., Papapanou, P. N., Genco, R., & Sanz, M. (2020) · Periodontology 2000 · doi:10.1111/prd.12304 · Cited by 440
Self-citationTonetti, M. S., Van Dyke, T. E., & working group 1 of the joint EFP/AAP workshop (2013) · Journal Of Clinical Periodontology · doi:10.1111/jcpe.12089 · Cited by 395
Metadata
- Authors
- Schenkein, H. A., & Loos, B. G.
- Venue
- Journal of Clinical Periodontology
- Publisher
- Wiley
- Published
- 2013-04
- Volume
- 40
- Issue
- s14
- Pages
- S51-69
- ISSN
- 0303-6979 (ISSN-L)
- 1600-051X
- OpenAlex
- W2126218451
- Cited by
- 454
- References
- 149
- FWCI
- 41.84
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
