The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Periodontal disease associates with higher brain amyloid load in normal elderly
Open accessAbstract
Background The accumulation of amyloid β plaques (Aβ) is a central feature of Alzheimer’s disease (AD). First reported in animal models, it remains uncertain if peripheral inflammatory/infectious conditions in humans can promote Aβ brain accumulation. Periodontal disease, a common chronic infection, has been previously reported to be associated with AD. Methods Thirty-eight cognitively normal, healthy, community residing elderly (mean age 61; 68% female) were examined in an Alzheimer’s Disease research center and a University-based Dental School. Linear regression models (adjusted for age, ApoE and smoking) were used to test the hypothesis that periodontal disease assessed by clinical attachment loss was associated with brain Aβ load using 11C-PIB PET imaging. Results After adjusting for confounders, clinical attachment loss (≥ 3mm), representing a history of periodontal inflammatory/infectious burden, was associated with increased 11C-PIB uptake in Aβ vulnerable brain regions (p=0.002). Conclusion We show for the first time in humans an association between periodontal disease and brain Aβ load. These data are consistent with prior animal studies showing that peripheral inflammation/infections are sufficient to produce brain Aβ accumulations.
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Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589
Periodontal Disease in Pregnancy II. Correlation Between Oral Hygiene and Periodontal Condition
Silness, J., & Löe, H. (1964) · Acta Odontologica Scandinavica · doi:10.3109/00016356408993968 · Cited by 7,932
Inflammation and Alzheimer’s disease
Akiyama, H. (2000) · Neurobiology of Aging · doi:10.1016/s0197-4580(00)00124-x · Cited by 4,514
The Alzheimer’s disease neuroimaging initiative (ADNI): MRI methods
Jack, C. R., Bernstein, M. A., Fox, N. C., Thompson, P., Alexander, G., Harvey, D., Borowski, B., Britson, P. J., L. Whitwell, J., Ward, C., et al. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21049 · Cited by 4,347
Hearing loss and cognitive decline in older adults
Lin, F. R., Yaffe, K., Xia, J., Xue, Q.-L., Harris, T. B., Purchase-Helzner, E., Satterfield, S., Ayonayon, H. N., Ferrucci, L., Simonsick, E. M., et al. (2013) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2013.1868 · Cited by 4,017
Holmes, C., Boche, D., Wilkinson, D., Yadegarfar, G., Hopkins, V., Bayer, A., Jones, R. W., Bullock, R., Love, S., Neal, J. W., et al. (2008) · The Lancet · doi:10.1016/s0140-6736(08)61075-2 · Cited by 1,416 · cited 1×
“The results of clinical trials designed to remove brain amyloid from impaired individuals have been largely unsuccessful possibly because of the late intervention (Holmes et al., 2008; Morgan, 2011; Ozudogru and Lippa, 2012).”
Dental biofilms: difficult therapeutic targets
SOCRANSKY, S. S., & HAFFAJEE, A. D. (2002) · Periodontology 2000 · doi:10.1034/j.1600-0757.2002.280102.x · Cited by 1,273
Jack, C. R., Lowe, V. J., Weigand, S. D., Wiste, H. J., Senjem, M. L., Knopman, D. S., Shiung, M. M., Gunter, J. L., Boeve, B. F., Kemp, B. J., et al. (2009) · Brain · doi:10.1093/brain/awp062 · Cited by 1,099
The Alzheimer's Disease-Associated Amyloid β-Protein Is an Antimicrobial Peptide
Soscia, S. J., Kirby, J. E., Washicosky, K. J., Tucker, S. M., Ingelsson, M., Hyman, B., Burton, M. A., Goldstein, L. E., Duong, S., Tanzi, R. E., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009505 · Cited by 1,060
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Dominy, S. S., Lynch, C., Ermini, F., Benedyk, M., Marczyk, A., Konradi, A., Nguyen, M., Haditsch, U., Raha, D., Griffin, C., et al. (2019) · Science Advances · doi:10.1126/sciadv.aau3333 · Cited by 1,966
Brain-Gut-Microbiota Axis in Alzheimer’s Disease
Kowalski, K., & Mulak, A. (2019) · Journal of Neurogastroenterology and Motility · doi:10.5056/jnm18087 · Cited by 826
The gut microbiome in human neurological disease: A review
Tremlett, H., Bauer, K. C., Appel‐Cresswell, S., Finlay, B. B., & Waubant, E. (2017) · Annals of Neurology · doi:10.1002/ana.24901 · Cited by 535
Role of gut-brain axis, gut microbial composition, and probiotic intervention in Alzheimer's disease
Kesika, P., Suganthy, N., Sivamaruthi, B. S., & Chaiyasut, C. (2021) · Life Sciences · doi:10.1016/j.lfs.2020.118627 · Cited by 479
Periodontitis and Cognitive Decline in Alzheimer’s Disease
Ide, M., Harris, M., Stevens, A., Sussams, R., Hopkins, V., Culliford, D., Fuller, J., Ibbett, P., Raybould, R., Thomas, R., et al. (2016) · PLOS ONE · doi:10.1371/journal.pone.0151081 · Cited by 461
Metadata
- Authors
- Kamer, A. R., Pirraglia, E., Tsui, W., Rusinek, H., Vallabhajosula, S., Mosconi, L., Yi, L., McHugh, P., Craig, R. G., Svetcov, S., Linker, R., Shi, C., Glodzik, L., Williams, S., Corby, P., Saxena, D., & de Leon, M. J.
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2015-02
- Volume
- 36
- Issue
- 2
- Pages
- 627-633
- ISSN
- 0197-4580 (ISSN-L)
- OpenAlex
- W2024735551
- Cited by
- 268
- References
- 20
- FWCI
- 5.64
- Type
- journal article
- Language
- en
- Open access
- green
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- Kamer, A. R., Pirraglia, E., Tsui, W., Rusinek, H., Vallabhajosula, S., Mosconi, L., Yi, L., McHugh, P., Craig, R. G., Svetcov, S., Linker, R., Shi, C., Glodzik, L., Williams, S., Corby, P., Saxena, D., & de Leon, M. J. (2015). Periodontal disease associates with higher brain amyloid load in normal elderly. Neurobiology of Aging. https://doi.org/10.1016/j.neurobiolaging.2014.10.038
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