Identification of pathogen and host-response markers correlated with periodontal disease

BACKGROUND: Periodontitis is the major cause of tooth loss in adults and is linked to systemic illnesses, such as cardiovascular disease and stroke. The development of rapid point-of-care (POC) chairside diagnostics has the potential for the early detection of periodontal infection and progression to identify incipient disease and reduce health care costs. However, validation of effective diagnostics requires the identification and verification of biomarkers correlated with disease progression. This clinical study sought to determine the ability of putative host- and microbially derived biomarkers to identify periodontal disease status from whole saliva and plaque biofilm. METHODS: One hundred human subjects were equally recruited into a healthy/gingivitis group or a periodontitis population. Whole saliva was collected from all subjects and analyzed using antibody arrays to measure the levels of multiple proinflammatory cytokines and bone resorptive/turnover markers. RESULTS: Salivary biomarker data were correlated to comprehensive clinical, radiographic, and microbial plaque biofilm levels measured by quantitative polymerase chain reaction (qPCR) for the generation of models for periodontal disease identification. Significantly elevated levels of matrix metalloproteinase (MMP)-8 and -9 were found in subjects with advanced periodontitis with Random Forest importance scores of 7.1 and 5.1, respectively. The generation of receiver operating characteristic curves demonstrated that permutations of salivary biomarkers and pathogen biofilm values augmented the prediction of disease category. Multiple combinations of salivary biomarkers (especially MMP-8 and -9 and osteoprotegerin) combined with red-complex anaerobic periodontal pathogens (such as Porphyromonas gingivalis or Treponema denticola) provided highly accurate predictions of periodontal disease category. Elevated salivary MMP-8 and T. denticola biofilm levels displayed robust combinatorial characteristics in predicting periodontal disease severity (area under the curve = 0.88; odds ratio = 24.6; 95% confidence interval: 5.2 to 116.5). CONCLUSIONS: Using qPCR and sensitive immunoassays, we identified host- and bacterially derived biomarkers correlated with periodontal disease. This approach offers significant potential for the discovery of biomarker signatures useful in the development of rapid POC chairside diagnostics for oral and systemic diseases. Studies are ongoing to apply this approach to the longitudinal predictions of disease activity.

IMMUNOGLOBULINS IN PERIODONTAL DISEASE

Periodontal disease is the major cause of tooth loss in man. The initial histological picture of the inflamed gingiva is characteristic of local inflammatory reaction involving polymorphonuclear leukocytes, vasculitis and localized tissue loss. Subsequent clinical stages of periodontal disease (mild gingivitis) show histological evidence of the involvement of the immune response with initial accumulation of macrophages, and lymphocytes devoid of surface staining immunoglobulins (presumably T cells). As the disease progresses, a predominance of surface and cytoplasmic staining lymphocytes and plasma cells are seen (severe gingivitis and periodontitis). Whether the occurrence of the immunoglobulin positive lymphocytes and the concurrent loss of collagen and resorption of alveolar bone seen in periodontitis is indicative of a direct cause and effect relationship has been a controversy.^ The majority of investigations in the periodontal field have involved the use of peripheral blood lymphocytes or serum. Blastogenic responses of peripheral blood lymphocytes and serum antibody titers from periodontal patients to a variety of oral bacteria have not shown any correlation between response and the severity of disease. The need to study the local immune response in inflamed gingiva is apparent. Since there are no baseline studies on the functional capabilities of the lymphoid cells present in gingiva from periodontitis patients, an in depth study involving the role of the immunoglobulin positive lymphocytes was investigated.^ Inflamed gingiva from four clinically defined periodontal disease states (mild gingivitis, severe gingivitis, periodontitis and severe periodontitis) were placed in gingival organ cultures. Class specific immunoglobulins were quantitated in gingival organ culture supernatants using an indirect sandwich technique. A significant difference in mean levels of IgA and IgG was seen between mild gingivitis and periodontitis (P < .00l, P = .001), as well as in IgG levels between periodontitis and severe periodontitis (P = .001). The predominance of IgG in gingival organ culture supernatants and the statistically significant findings that the overall mean levels of IgG between mild gingivitis and periodontitis (P = .014) and between severe periodontitis and periodontitis (P = .001) suggested a possible indicator of periodontal disease. The presence of IgG in gingival organ culture supernatants was shown to be a product of actively secreting plasma cells. The incorporation of radiolabelled amino acids into IgG was noted over a seven-day period with a peak response at day 4-5. The inhibition of IgG synthesis by cyclohexamide confirmed the contention that IgG was a product of de novo synthesis and not serum derived.^ The specificity of immunoglobulins derived from gingival organ cultures were studied using a whole bacterial agglutination test. Oral bacteria frequently cultured from periodontal patients were assessed for their ability to be agglutinated by gingival organ culture supernatants. A positive correlation of antibody titer and severity of disease was seen with five strains of Actinomyces viscosus, two of Actinomyces naeslundii and one Actinomyces israelii. The agglutination of bacteria was shown to be due to the specific interaction of immunoglobulin and cell-wall antigen. ^

Crevicular fluid biomarkers and periodontal disease progression.

AIM Assess the ability of a panel of gingival crevicular fluid (GCF) biomarkers as predictors of periodontal disease progression (PDP). MATERIALS AND METHODS In this study, 100 individuals participated in a 12-month longitudinal investigation and were categorized into four groups according to their periodontal status. GCF, clinical parameters and saliva were collected bi-monthly. Subgingival plaque and serum were collected bi-annually. For 6 months, no periodontal treatment was provided. At 6 months, patients received periodontal therapy and continued participation from 6 to 12 months. GCF samples were analysed by ELISA for MMP-8, MMP-9, Osteoprotegerin, C-reactive Protein and IL-1β. Differences in median levels of GCF biomarkers were compared between stable and progressing participants using Wilcoxon Rank Sum test (p = 0.05). Clustering algorithm was used to evaluate the ability of oral biomarkers to classify patients as either stable or progressing. RESULTS Eighty-three individuals completed the 6-month monitoring phase. With the exception of GCF C-reactive protein, all biomarkers were significantly higher in the PDP group compared to stable patients. Clustering analysis showed highest sensitivity levels when biofilm pathogens and GCF biomarkers were combined with clinical measures, 74% (95% CI = 61, 86). CONCLUSIONS Signature of GCF fluid-derived biomarkers combined with pathogens and clinical measures provides a sensitive measure for discrimination of PDP (ClinicalTrials.gov NCT00277745).

Clinical, microbiological, and immunological markers of gingival and periodontal disease induction and progression

The potential impact of periodontal disease, a suspected risk factor for systemic diseases, presents challenges for health promotion and disease prevention strategies. This study examined clinical, microbiological, and immunological factors in a disease model to identify potential biomarkers that may be useful in predicting the onset and severity of both inflammatory and destructive periodontal disease. This project used an historical cohort design based on data obtained from 47 adult, female nonhuman primates followed over a 6-year period for 5 unique projects where the ligature-induced model of periodontitis was utilized. Standardization of protocols for sample collection allowed for comparison over time. Bleeding and pocket depth measures were selected as the dependent variables of relevance to humans based upon the literature and historical observations. Exposure variables included supragingival plaque, attachment level, total bacteria, black-pigmented bacteria, Gram-negative and Gram-positive bacteria, total IgG and IgA in crevicular fluid, specific IgG antibody in both crevicular fluid and serum, and IgG antibody to four select pathogenic microorganisms. Three approaches were used to analyze the data from this study. The first approach tested for differences in the means of the response variables within the group and among longitudinal observations within the group at each time point. The second approach examined the relationship among the clinical, microbiological, and immunological variables using correlation coefficients and stratified analyses. Multivariable models using GEE for repeated measures were produced as a predictive description of the induction and progression of gingivitis and periodontal disease. The multivariable models for bleeding (gingivitis) include supragingival plaque, total bacteria and total IgG while the second also contains supragingival plaque, Gram-positive bacteria, and total IgG. Two multivariable models emerged for periodontal disease. One multivariable model contains plaque, total bacteria, total IgG and attachment level. The second model includes black-pigmented bacteria, total bacteria, antibody to Campylobacter rectus, and attachment level. Utilization of the nonhuman primate model to prospectively examine causal hypotheses can provide a focus for human research on the mechanisms of progression from health to gingivitis to periodontitis. Ultimately, causal theories can guide strategies to prevent disease initiation and reduce disease severity. ^

Demographic and social factors which influence periodontal disease using the National Health and Nutritional Examination Survey (NHANES)

Periodontal diseases include the various forms of gingivitis and periodontitis. Scientific literature submits 80% of the population suffers from some form of periodontal disease. The comparison of studies measuring periodontal disease is difficult because researchers use various parameters and indexes to define disease severity. The purposes of this paper were to examine the associations of gingival bleeding and 3 or more millimeters periodontal attachment loss, and age, sex, income, race/ethnicity, current tobacco use, dental visits, health insurance, stroke, heart attack, and diabetes using the periodontal examination population from the National Health and Nutritional Examination Survey (NHANES) 1999-2004. ^ When all risk factors were analyzed in the model as a whole sex, race/ethnicity, poverty, and education were statistically significant for bleeding on probing. When all risk factors were analyzed in the model as a whole sex, age, and education were statistically significant for loss of attachment. ^

Disease risk factors and humoral antibody response to periodontal-associated pathogens: A model to evaluate periodontal disease in older adults

Periodontal diseases (PD) are infectious, inflammatory, and tissue destructive events which affect the periodontal ligament that surround and support the teeth. Periodontal diseases are the major cause of tooth loss after age 35, with gingivitis and periodontitis affecting 75% of the adult population. A select group of bacterial organisms are associated with periodontal pathogenesis. There is a direct association between oral hygiene and prevention of PD. The importance of genetic differences and host immune response capabilities in determining host, susceptibility or resistance to PD has not been established. This study examined the risk factors and serum (humoral) immune response to periodontal diseased-associated pathogens in a 55 to 80+ year old South Texas study sample with PD. This study sample was described by: age, sex, ethnicity, the socioeconomic factors marital status, income and occupation, IgG, IgA, IgM immunoglobulin status, and the autoimmune response markers rheumatoid factor (RF) and antinuclear antibody (ANA). These variables were used to determine the risk factors associated with development of PD. Serum IgG, IgA, IgM antibodies to bacterial antigens provided evidence for disease exposure.^ A causal model for PD was constructed from associations for risk factors (ethnicity, marital status, income, and occupation) with dental exam and periodontitis. The multiple correlation between PD and ethnicity, income and dental exam was significant. Hispanics of low income were least likely to have had a dental exam in the last year and most likely to have PD. The etiologic agents for PD, as evidenced by elevated humoral antibody responses, were the Gram negative microorganisms Bacteroides gingivalis, serotypes FDC381 and SUNYaBA7A1-28, and Wolinella recta. Recommendation for a PD prevention and control program are provided. ^

The prevalence of periodontal disease in Mexican American vs European American elderly in three distinct socio-economic communities in San Antonio, Texas

Purpose of the Study: This study evaluated the prevalence of periodontal disease between Mexican American elderly and European American elderly residing in three socio-economically distinct neighborhoods in San Antonio, Texas. ^ Study Group: Subjects for the original protocol were participants of the Oral Health: San Antonio Longitudinal Study of Aging (OH: SALSA), which began with National Institutes of Health (NIH) funding in 1993 (M.J. Saunders, PI). The cohort in the study was the individuals who had been enrolled in Phases I and III of the San Antonio Heart Study (SAHS). This SAHS/SALSA sample is a community-based probability sample of Mexican American and European American residents from three socio-economically distinct San Antonio neighborhoods: low-income barrio, middle-income transitional, and upper-income suburban. The OH: SALSA cohort was established between July 1993 and May 1998 by sampling two subsets of the San Antonio Heart Study (SAHS) cohort. These subsets included the San Antonio Longitudinal Study of Aging (SALSA) cohort, comprised of the oldest members of the SAHS (age 65+ yrs. old), and a younger set of controls (age 35-64 yrs. old) sampled from the remainder of the SAHS cohort. ^ Methods: The study used simple descriptive statistics to describe the sociodemographic characteristics and periodontal disease indicators of the OH: SALSA participants. Means and standard deviations were used to summarize continuous measures. Proportions were used to summarize categorical measures. Simple m x n chi square statistics was used to compare ethnic differences. A multivariable ordered logit regression was used to estimate the prevalence of periodontal disease and test ethnic group and neighborhood differences in the prevalence of periodontal disease. A multivariable model adjustment for socio-economic status (income and education), gender, and age (treated as confounders) was applied. ^ Summary: In the unadjusted and adjusted model, Mexican American elderly demonstrated the greatest prevalence for periodontitis, p < 0.05. Mexican American elderly in barrio neighborhoods demonstrated the greatest prevalence for severe periodontitis, with unadjusted prevalence rates of 31.7%, 22.3%, and 22.4% for Mexican American elderly barrio, transitional, and suburban neighborhoods, respectively. Also, Mexican American elderly had adjusted prevalence rates of 29.4%, 23.7%, and 20.4% for barrio, transitional, and suburban neighborhoods, respectively. ^ Conclusion: This study indicates that the prevalence of periodontal disease is an important oral health issue among the Mexican American elderly. The results suggest that the socioeconomic status of the residential neighborhood increased the risk for severe periodontal disease among the Mexican American elderly when compared to European American elderly. A viable approach to recognizing oral health disparities in our growing population of Mexican American elderly is imperative for the provision of special care programs that will help increase the quality of care in this minority population.^

Association of periodontal disease with sex hormones levels among men; an analysis of NHANES III data

Background. The purpose of this study was to investigate the association of periodontal disease with sex hormones. If periodontal disease is associated with abnormal levels of sex hormones this may indicate a link between periodontal disease and prostate cancer. ^ Methods. All participants were derived from the third National Health and Nutrition Examination survey (NHANES III) data. For the purpose of our study, serum samples for hormones measurements such as testosterone, free testosterone, estradiol, free estradiol and sex hormone binding globulin (SHBG) and periodontal examination data were available for 1,101 of these men. ^ Results. After adjusting for known risk factors, periodontal disease was significantly associated with sex hormones as testosterone, free testosterone, estradiol and free estradiol. The association of periodontal disease and sex hormone levels were not significantly different between ethnicity groups. ^ Discussion. The results indicate the need for further study of periodontal disease and serum levels of testosterone, free testosterone, estradiol and free estradiol in men.^

Inservice training course for the appraisal of present scientific information concerning periodontal disease, September 10 through 15, '51, conducted at: School of Public Health building, Ann Arbor, Michigan.

Includes discussions but not papers presented. Papers were published separately under title: An appraisal of present scientific information concerning periodontal disease, [1952]

Mast cells in human periodontal disease

Recently, mast cells have been shown to produce cytokines which can direct the development of T-cell subsets. The aim of the present study was to determine the relationship between mast cells and the Th1/Th2 response in human periodontal disease. Tryptase+ mast cell numbers were decreased in chronic periodontitis tissues compared with healthy/gingivitis lesions. Lower numbers of c-kit+ cells, which remained constant regardless of clinical status, indicate that there may be no increased migration of mast cells into periodontal disease lesions. While there were no differences in IgG2+ or IgG4+ cell numbers in healthy/gingivitis samples, there was an increase in IgG4+ cells compared with IgG2+ cells in periodontitis lesions, numbers increasing with disease severity. This suggests a predominance of Th2 cells in periodontitis, although mast cells may not be the source of Th2-inducing cytokines.

Regulatory T-cells infiltrate periodontal disease tissues

CD4(+) CD25(+) regulatory T ( Tr) cells are critical in regulating the immune response and thereby play an important role in the defense against infection and control of autoimmune diseases. Our previous studies demonstrated the involvement of autoimmune responses in periodontitis. The aim of this study was to identify CD4(+) CD25(+) Tr cells in periodontitis tissues and compare them with those in gingivitis tissues. Immunohistological analysis of CD4, CD25, and CTLA- 4 and the gene expression analysis of FOXP3, TGF- beta 1, and IL-10 on gingival biopsies revealed the presence of CD4(+) CD25(+) Tr cells in all tissues. In periodontitis, the percentage of CD4(+) CD25(+) Tr cells increased with increasing proportions of B-cells relative to T- cells. FOXP3, a characteristic marker for CD4(+) CD25(+) Tr cells, TGF- beta 1 and IL-10 were expressed more highly in periodontitis compared with gingivitis. These findings suggest that CD4(+) CD25(+) Tr cells and possibly other regulatory T- cell populations do exist and may play regulatory roles in periodontal diseases.