| Literature DB >> 28104616 |
Sasanka S Chukkapalli1, Meena Easwaran1, Mercedes F Rivera-Kweh1, Irina M Velsko1, Sriram Ambadapadi2, Jiayin Dai3, Hannu Larjava3, Alexandra R Lucas2, Lakshmyya Kesavalu1,4.
Abstract
Periodontal disease (PD) and atherosclerotic vascular disease (ASVD) are both chronic inflammatory diseases with a polymicrobial etiology and have been epidemiologically associated. The purpose is to examine whether periodontal bacteria that infect the periodontium can also infect vascular tissues and enhance pre-existing early aortic atherosclerotic lesions in LDLRnull mice. Mice were orally infected with intermediate bacterial colonizer Fusobacterium nucleatum for the first 12 weeks followed by late bacterial colonizers (Porphyromonas gingivalis, Treponema denticola and Tannerella forsythia) for the remaining 12 weeks mimicking the human oral microbiota ecological colonization. Genomic DNA from all four bacterial was detected in gingival plaque by PCR, consistently demonstrating infection of mouse gingival surfaces. Infected mice had significant levels of IgG and IgM antibodies, alveolar bone resorption, and showed apical migration of junctional epithelium revealing the induction of PD. These results support the ability of oral bacteria to cause PD in mice. Detection of bacterial genomic DNA in systemic organs indicates hematogenous dissemination from the gingival pockets. Bacterial infection did not alter serum lipid fractions or serum amyloid A levels and did not induce aortic atherosclerotic plaque. This is the first study examining the causal role of periodontal bacteria in induction of ASVD in LDLRnull mice. © FEMS 2017. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.Entities:
Keywords: Fusobacterium nucleatum; LDLR−/− mice; Porphyromonas gingivalis; Tannerella forsythia; Treponema denticola; atherosclerosis; periodontal disease; polymicrobial infection
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Year: 2017 PMID: 28104616 PMCID: PMC5353996 DOI: 10.1093/femspd/ftx003
Source DB: PubMed Journal: Pathog Dis ISSN: 2049-632X Impact factor: 3.166