Aggregatibacter actinomycetemcomitans serotypes associate with periodontal and coronary artery disease status.

AIM: We investigated the association between the Aggregatibacter actinomycetemcomitans serotypes, periodontal status and coronary artery disease (CAD). MATERIALS AND METHODS: The study population included 497 patients who underwent coronary angiography, and clinical oral examination. Quantitative polymerase chain reaction assays were designed to identify the serotypes from saliva samples. RESULTS: Aggregatibacter actinomycetemcomitans serotype frequencies were as follows: serotype "c" 35.7%, "b" 28.6%, "a" 26.2%, "e" 7.1%, "d" 2.4% and "f" 0%. The subjects with a detectable serotype had less teeth and higher bleeding on probing than those with no serotype. Serotypes "b" and "c" associated with periodontal probing depths and periodontal inflammatory burden. The saliva and subgingival bacterium quantities and serum antibody levels against A. actinomycetemcomitans were highest in patients harbouring serotype "c." Serotypes "b" and "c" were most frequent (59.3%) in patients with CAD (p = .040), and they associated with the risk of stable CAD with an odds ratio of 2.67 (95% confidence interval 1.06-7.44). Also, the severity of CAD (p = .018) associated with serotypes "b" and "c." CONCLUSIONS: Aggregatibacter actinomycetemcomitans serotypes "b" and "c" associate with both periodontal and CAD status. Detectable serotypes associate with the quantity and the serology of the bacterium emphasizing both local and systemic effect of the A. actinomycetemcomitans serotypes.

Cross-reactive saliva IgA antibodies to oxidized LDL and periodontal pathogens in humans.

AIM: Oxidized low-density lipoproteins (oxLDL) are formed as a result of lipid peroxidation and are highly immunogenic and proatherogenic. In this study, saliva antibodies binding to oxLDL, Porphyromonas gingivalis (Pg) and Aggregatibacter actinomycetemcomitans (Aa) were characterized and their cross-reactivity was evaluated. MATERIALS AND METHODS: Resting and stimulated saliva samples were collected from 36 healthy adults (mean age 26 years). Saliva IgA, IgG and IgM autoantibody levels to copper oxidized LDL (CuOx-LDL) and malondialdehyde acetaldehyde-modified LDL (MAA-LDL) were determined with chemiluminescence immunoassay. RESULTS: Saliva IgA and IgG antibodies binding to MAA-LDL and CuOx-LDL were detected in all samples and they were associated with the saliva levels of IgA and IgG to P. gingivalis and A. actinomycetemcomitans. Competitive immunoassay showed that saliva antibodies to MAA-LDL cross-reacted specifically with P. gingivalis. The autoantibody levels to oxLDL in saliva were not associated with the autoantibody levels to oxLDL in plasma or with saliva apolipoprotein B 100 levels. CONCLUSIONS: Saliva contains IgA and IgG binding to oxLDL, which showed cross-reactive properties with the periodontal pathogens Porphyromonas gingivalis (P.g). The data suggest that secretory IgA to P.g may participate in immune reactions involved in LDL oxidation through molecular mimicry.

Salivary biomarkers of bacterial burden, inflammatory response, and tissue destruction in periodontitis.

AIM: Chronic periodontitis has an episodic and multifactorial character, with fluctuations in bacterial burden, inflammatory response, and tissue destruction. We investigated the association of selected salivary biomarkers with periodontal parameters and validated the use of a novel salivary diagnostic approach, the cumulative risk score (CRS), in detection of periodontitis in subjects with angiographically verified coronary artery disease diagnosis. MATERIALS AND METHODS: The concentrations of matrix metalloproteinase (MMP)-8, interleukin (IL)-1ß, and Porphyromonas gingivalis were analysed from saliva of 493 subjects. The subjects participated in a detailed clinical and radiographic oral examination. The CRS index, combining the three salivary biomarkers, was calculated for each subject. RESULTS: High salivary concentrations of MMP-8, IL-1ß, and P. gingivalis were associated with deepened periodontal pockets and alveolar bone loss, and MMP-8 and IL-1ß with bleeding on probing. The CRS index had a stronger association with moderate to severe periodontitis (OR 6.13; 95% CI 3.11-12.09) than any of the markers alone. CONCLUSIONS: Salivary concentrations of MMP-8, IL-1ß, and P. gingivalis are associated with various clinical and radiographic measures of periodontitis. The CRS index, combining the three salivary biomarkers, is associated with periodontitis more strongly than any of the markers alone regardless of the coronary artery disease status of the patients.

Periodontal pathogen carriage, rather than periodontitis, determines the serum antibody levels.

AIM: We investigated in a nationally representative sample, how periodontitis modifies the association between the carriage of periodontal pathogens and serology. MATERIALS AND METHODS: The population comprised 1586 dentate subjects who participated in an interview, clinical and radiological oral health examination, and saliva collection. Serum immunoglobulin A (IgA)- and IgG-class antibody levels against Aggregatibacter actinomycetemcomitans and Porphyromonas gingivalis and their salivary occurrence were determined in the whole population. The quantity of the pathogens was measured in a subpopulation. RESULTS: In the univariate analyses, the corresponding antibody levels were higher in the pathogen carriers compared with the non-carriers, and clearly higher in the carriers with periodontal pockets compared with the carriers without. In the multi-variate analyses, however, all antibody levels associated strongly with age (p<0.001) and the carriage of the corresponding pathogen (p<0.001), but only weakly with the presence or number of teeth with periodontal pockets. In the subpopulation, the antibody levels and the numbers of corresponding bacteria in saliva had a positive association, which was not affected by the disease. CONCLUSIONS: The carriage of A. actinomycetemcomitans and P. gingivalis is the strongest determinant of the systemic antibody response to these pathogens, and the extent of periodontitis has at most a modest modifying effect.

Salivary interleukin-1beta concentration and the presence of multiple pathogens in periodontitis.

AIM: This study aimed to find salivary enzymes and/or cytokines that would reflect periodontitis, alone or in combination with salivary microbial markers. MATERIAL AND METHODS: The salivary concentrations of elastase, lactate dehydrogenase, interleukin-1beta (IL-1beta), interleukin-6, and tumour necrosis factor-alpha, and the presence of five periodontal pathogens, Aggregatibacter actinomycetemcomitans, Porphyromonas gingivalis, Prevotella intermedia, Tannerella forsythia, and Treponema denticola, were analysed from salivary specimens of 165 subjects, a subpopulation of Health 2000 Health Examination Survey in Finland; 84 of the subjects had probing pocket depth (PPD) of > or =4 mm at 14 or more teeth (the advanced periodontitis group), while 81 subjects had no teeth with PPD of > or =4 mm (the control group). All subjects had at least 20 teeth and no systemic diseases. RESULTS: Among the salivary cytokines and enzymes tested, IL-1beta was the only biomarker associated with periodontitis. An association was also found with the presence of multiple periodontal pathogens. Salivary IL-1beta and the presence of multiple periodontal pathogens were associated with periodontitis at the same magnitude, when they were in the logistic regression model individually or together. CONCLUSION: We suggest that salivary IL-1beta and the presence of multiple periodontal pathogens in saliva should be studied more thoroughly as markers of periodontitis.

Quantitative PCR analysis of salivary pathogen burden in periodontitis.

Our aim was to investigate the value of salivary concentrations of four major periodontal pathogens and their combination in diagnostics of periodontitis. The Parogene study included 462 dentate subjects (mean age 62.9 ± 9.2 years) with coronary artery disease (CAD) diagnosis who underwent an extensive clinical and radiographic oral examination. Salivary levels of four major periodontal bacteria were measured by quantitative real-time PCR (qPCR). Median salivary concentrations of Porphyromonas gingivalis, Tannerella forsythia, and Prevotella intermedia, as well as the sum of the concentrations of the four bacteria, were higher in subjects with moderate to severe periodontitis compared to subjects with no to mild periodontitis. Median salivary Aggregatibacter actinomycetemcomitans concentrations did not differ significantly between the subjects with no to mild periodontitis and subjects with moderate to severe periodontitis. In logistic regression analysis adjusted for age, gender, diabetes, and the number of teeth and implants, high salivary concentrations of P. gingivalis, T. forsythia, and P. intermedia were significantly associated with moderate to severe periodontitis. When looking at different clinical and radiographic parameters of periodontitis, high concentrations of P. gingivalis and T. forsythia were significantly associated with the number of 4-5 mm periodontal pockets, ≥6 mm pockets, and alveolar bone loss (ABL). High level of T. forsythia was associated also with bleeding on probing (BOP). The combination of the four bacteria, i.e., the bacterial burden index, was associated with moderate to severe periodontitis with an odds ratio (OR) of 2.40 (95% CI 1.39-4.13). When A. actinomycetemcomitans was excluded from the combination of the bacteria, the OR was improved to 2.61 (95% CI 1.51-4.52). The highest OR 3.59 (95% CI 1.94-6.63) was achieved when P. intermedia was further excluded from the combination and only the levels of P. gingivalis and T. forsythia were used. Salivary diagnostics of periodontitis has potential especially in large-scale population studies and health promotion. The cumulative strategy appears to be useful in the analysis of salivary bacteria as markers of periodontitis.

Combining salivary pathogen and serum antibody levels improves their diagnostic ability in detection of periodontitis.

BACKGROUND: Initiation and progression of periodontitis correlates with increased quantities of periodontitis-associated bacteria in periodontal biofilms. In the present study, the aim is to measure Aggregatibacter actinomycetemcomitans and Porphyromonas gingivalis amounts in saliva and their antibody (immunoglobulin [Ig]A and IgG) levels in serum and evaluate their diagnostic abilities, together or alone, in chronic periodontitis. METHODS: The study population comprised 230 Finnish dentate adults: 84 with generalized chronic periodontitis (GCP), 65 with localized chronic periodontitis (LCP), and 81 controls without periodontitis. General and oral health information was obtained by questionnaires, interviews, and clinical and radiographic examinations. Salivary and serum samples were analyzed by quantitative single copy gene-based real-time polymerase chain reaction and multiserotype enzyme-linked immunosorbent assay, respectively. RESULTS: Pathogen carriers suffered mostly from GCP and seldom from LCP. A. actinomycetemcomitans and P. gingivalis quantities in saliva were strongly associated with corresponding serum IgA and IgG values (P <0.001) and with severity of disease (P <0.001). P. gingivalis exhibited more straightforward associations among salivary bacterial burdens, corresponding antibody formation, and periodontitis severity than A. actinomycetemcomitans. The combination of information on age, sex, smoking, and P. gingivalis results provided an area under the curve of 0.817 (95% confidence interval 0.76 to 0.87, P <0.001) for GCP. CONCLUSION: The combination of saliva P. gingivalis quantity with pathogen-specific host response may be used to diagnose periodontitis with high accuracy.

Very low density lipoproteins derived from periodontitis patients facilitate macrophage activation via lipopolysaccharide function.

OBJECTIVE: Periodontitis, a chronic oral infection caused mainly by gram-negative bacteria, induces endotoxemia and associates with the risk for atherosclerosis. We investigated the effect of periodontal treatment on proatherogenic properties of very low density lipoproteins (VLDL). METHODS: VLDL were isolated from 30 systemically healthy periodontitis patients before (pre-treatment) and 3 months after treatment (post-treatment). The mass compositions were analyzed, and VLDL-induced changes in cellular cholesterol content and expression of selected genes of human THP-1 macrophages were measured. RESULTS: Periodontal treatment decreased the local inflammation in the periodontium, but did not have a significant effect on C-reactive protein (CRP) levels, VLDL composition, or VLDL potential to induce cholesterol uptake or gene expression by the macrophages. Incubation of macrophages in the presence of VLDL resulted in more than twofold increase in their cellular cholesterol content. Uptake of VLDL with ensuing macrophage cholesterol accumulation correlated positively with VLDL-associated lipopolysaccharide (LPS) activity (r=0.436, P=.016) and apolipoprotein E content (r=0.374, P=.046). Pre-treatment VLDL derived from the patients with high CRP levels displayed higher LPS activity than that of VLDL derived from patients with low CRP (above vs. below median, P=.007). In addition, pre-treatment VLDL isolated from patients with high systemic inflammation induced higher relative mRNA expression of CD14, TNF-α, MCP-1, and IL-6 in the macrophages. CONCLUSION: Inflammation and endotoxemia induced by severe periodontitis may increase VLDL-dependent macrophage activation and cellular cholesterol accumulation, and thereby atherogenesis.

A common periodontal pathogen has an adverse association with both acute and stable coronary artery disease.

OBJECTIVE: The aim of this study was to investigate the association between angiographically verified coronary artery disease (CAD) and salivary levels of four major periodontal pathogens. METHODS: The study population (n = 492) was composed of 179 (36.4%) patients with stable CAD, 166 (33.7%) with acute coronary syndrome (ACS), and 119 (24.2%) showing no pathological findings by coronary angiography. All patients were subjected to a detailed oral health examination. The saliva samples were analyzed for lipopolysaccharide activity as well as for Aggregatibacter actinomycetemcomitans, Porphyromonas gingivalis, Prevotella intermedia, and Tannerella forsythia by quantitative PCR. Serum antibodies levels against A. actinomycetemcomitans were analyzed. RESULTS: The level of bacterial burden was linearly associated with alveolar bone loss (p < 0.001) and bleeding on probing (p = 0.015). The median salivary levels of A. actinomycetemcomitans in pathogen-positive patients were significantly higher in the "Stable CAD" (p = 0.014) and the "ACS" (p = 0.044) groups when compared to "No significant CAD" patients. In logistic regression models, a 10-fold increase in the salivary A. actinomycetemcomitans levels was associated with a risk for stable CAD and ACS with odds ratios (ORs) of 7.47 (95% confidence interval [CI]: 1.57-35.5, p = 0.012) and 4.31 (95% CI: 1.06-17.5, p = 0.041), respectively. The OR for the association of IgA-class antibody levels against A. actinomycetemcomitans with ACS risk was 3.13 (95% CI: 1.38-7.12, p = 0.006)/log(10) unit increase. CONCLUSIONS: High salivary levels of A. actinomycetemcomitans and systemic exposure to the bacterium were associated with increased risk for CAD. These findings emphasize the importance of oral microbiota in cardiovascular risk assessment and therapeutics.

Use of host- and bacteria-derived salivary markers in detection of periodontitis: a cumulative approach.

In the present study, we propose a novel diagnostic approach, using 3 different salivary markers, representing periodontal pathogen burden, inflammation, and tissue degradation, for detecting periodontitis. The salivary concentrations of Porphyromonas gingivalis, interleukin-1ß, and matrix metalloproteinase-8, available from salivary specimens of 165 subjects (84 subjects with advanced periodontitis and 81 controls), were calculated together to obtain a cumulative risk score (CRS). In the calculation of CRS, the concentrations of each marker were divided into tertiles, and cumulative sub-score per each subject were calculated by the multiplication of the tertile values. Three CRS groups, indicating the lowest, medium, or highest risk, were formed with the cumulative sub-scores. Logistic regression analysis and ROC curves were performed to study the association of CRS with periodontitis. The results indicate that CRS, calculated from the 3 salivary biomarkers, is associated with advanced periodontitis more strongly than any of the markers individually. CRS offers a novel, non-invasive model for advanced periodontitis risk categorization that is especially useful in large population surveys where a periodontal examination is not feasible.

Detection and quantification of five major periodontal pathogens by single copy gene-based real-time PCR.

Periodontitis is a common chronic multibacterial infection in the tooth-supporting tissues. It has been shown that periodontitis patients carry higher number of disease-associated bacteria than healthy ones. The aim of this study was to generate a novel, single copy gene-based quantitative real-time PCR (qPCR) assay for five major periodontal pathogens - Aggregatibacter actinomycetemcomitans, Porphyromonas gingivalis, Prevotella intermedia, Treponema denticola, and Tannerella forsythia. The primer/probe sets were designed for conservative lipopolysaccharide-coding gene regions. They proved to be sensitive and able to detect strains representing different serotypes of the target bacteria. The specificity of designed primers was tested using 49 selected bacterial species and no false positive or negative results were observed. We validated the assay with a case-control population, including 165 saliva samples, and proved the diagnostic accuracy by Receiver Operating Characteristic (ROC) curves. All quantified pathogens alone were able to distinguish significantly between the subjects with and without periodontitis, and provided areas under the ROC curve larger than 0.5. The total pathogen burden comprising all five species associated with periodontitis with an area of 0.821 (95% CI, 0.758-0.885, P50.001). Our prominently sensitive and specific assay may have major importance in the diagnosis, prevention, and treatment of periodontitis.