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Journal of Clinical Microbiology, October 2008, p. 3380-3383, Vol. 46, No. 10
0095-1137/08/$08.00+0 doi:10.1128/JCM.01007-08
Copyright © 2008, American Society for Microbiology. All Rights Reserved.

Eastman Dental Hospital, UCLH NHS Foundation Trust,1 UCL Eastman Dental Institute, University College London, 256 Gray's Inn Road, London WC1X 8LD, United Kingdom,2 European Research Group on Periodontology, Bern, Switzerland3
Received 27 May 2008/ Returned for modification 1 July 2008/ Accepted 5 August 2008
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5 mm, recession of the gingival margin, and clinical attachment levels [CAL]). Patients underwent a standard phase of nonsurgical periodontal treatment that was performed by a periodontologist and were reexamined at 2 and 6 months after completion of this treatment. Sample collection and DNA isolation. A pooled sample of subgingival periodontal plaque was collected from the four deepest periodontal pockets (one in each quadrant of the mouth) before periodontal therapy commenced. Samples at 2 and 6 months posttherapy were collected from the same sample sites; in the absence of a periodontal pocket, samples were collected from the appropriate area of the gingival sulcus. The subgingival plaque was collected using a sterile curette and immediately placed in a sterile container with 1 ml of reduced transport fluid (20). The plaque samples were then dispersed in the reduced transport fluid by vortexing for 60 s. The whole genomic DNA was extracted from 500 µl of this sample using the Puregene DNA isolation kit (Gentra Systems, Minneapolis, MN), and the genomic DNA was then stored at –20°C for further analysis.
16S rRNA gene PCR (first round). The whole genomic DNA extracts were used as templates in a PCR technique using the universal primers that targeted the 16S rRNA gene. The forward primer (27F) had a nucleotide sequence of 5'-AGAGTTTGATCMTGGCTCAG-3' and the reverse primer (1492R) of 5'-TACGGYTACCTTGTTACGACTT-3' (Genosys, Cambridgeshire, United Kingdom) (14), with an expected amplicon size of 1,465 bp. The reaction consisted of 30 amplification cycles of: 94°C for 1 min, 54°C for 1 min, and 72°C for 1.5 min. Initial dissociation of DNA was for 5 min at 95°C, and the final primer extension was for 5 min at 72°C. Each PCR was carried out with a negative control consisting of sterile deionized water in addition to a positive control consisting of DNA extracted from a pure culture of Escherichia coli (NCTC 10418; 10 ng/µl). The amplification products were visualized on a 1% agarose gel (Amresco, Solon, OH) and compared with a 100-bp DNA molecular size marker (Promega).
Multiplex PCR (second round). The 16S rRNA gene PCR products were then used as templates for the multiplex PCR using one universal reverse primer and three species-specific forward primers, with a detection limit of 10 cells/ml for any of the three pathogens, as described previously (9). The primers chosen for the detection of the three putative pathogens targeted specific regions within the 16S rRNA gene. The expected product lengths were 197 bp for P. gingivalis, 360 bp for A. actinomycetemcomitans, and 745 bp for T. forsythia. The nucleotide sequences for the four selected primers were as follows: P. gingivalis specific forward primer (PgF), 5'-TGTAGATGACTGATGGTGAAAACC-3'; A. actinomycetemcomitans specific forward primer (AaF), 5'-ATTGGGGTTTAGCCCTGGTG-3'; T. forsythia-specific forward primer (TfF), 5'-TACAGGGGAATAAAATGAGATACG-3'; and the conserved reverse primer (ConR), 5'-ACGTCATCCCCACCTTCCTC-3' (Genosys) (9, 22). The final volume of each PCR mixture was 53.6 µl (comprising 48.6 µl of the master mixture and 5 µl of DNA template). A hot-start step was included in this protocol, and AmpliTaq Gold (Applied Biosystems, Foster City, CA) was used. The master mixture comprised 10.3 mM Tris-HCl, 51.3 mM KCl (10x PCR buffer II), 2.9 mM MgCl2, 0.15 µM primer AaF, 0.74 µM primer TfF, 0.49 µM primer Pgf, 0.47 µM primer ConR, and 10U of AmpliTaq gold. The deoxynucleoside triphosphates included dATP, dCTP, and dGTP, each at 0.2 mM, and 600 mM dUTP (Promega, Southampton, United Kingdom). The cycling parameters consisted of 40 cycles of 95°C for 1 min, 61°C for 1 min, and 72°C for 5 min. Initial dissociation of DNA was for 10 min at 95°C, and the final primer extension was for 10 min at 72°C. Each PCR was carried out with a negative control consisting of sterile deionized water as well as a positive control consisting of genomic DNA extracted from pure cultures of P. gingivalis NCTC 11834, A. actinomycetemcomitans NCTC 9710, and T. forsythia ATCC 43037, all at a final concentration of 10 ng/µl. Post-PCR analysis was carried out by electrophoresis of the PCR products on a 2.3% agarose gel. For quality control purposes, 10% of the samples were retested to confirm that consistent results were obtained. Additionally, 5% of the PCR products were randomly selected and excised from agarose gels, and the DNA was purified using a QIAquick gel extraction kit (Qiagen Ltd., Crawley, United Kingdom); these products were then sequenced using BigDye terminator cycle (AB Biosystems, Foster City, CA) and analyzed using a 310 Genetic Analyzer (AB Biosystems, Foster City, CA). The DNA sequences were analyzed online to confirm species identification (NCBI Blast; http://www.ncbi.nlm.nih.gov/BLAST).
Statistical methods. Data were expressed as mean ± standard error unless differently specified. Clinical periodontal parameters, as well as frequency of detection of pathogens, were all normally distributed, and therefore parametric testing was used. The null hypothesis of these data analyses was that no difference in the frequency of detection of periodontal pathogens would be observed following 2 and 6 months of periodontal therapy. The McNemar paired test was used. Secondary outcomes included possible associations between detection of one or multiple periodontal pathogens and other clinical periodontal parameters at each study visit (baseline and 2 and 6 months) and predictive value of the presence of periodontal pathogens on subsequent disease progression following therapy. Indeed, we created multivariate analysis-of-variance models to ascertain the differences in clinical continuous periodontal parameters (probing pocket depth, number of periodontal pockets, and whole-mouth gingival and plaque scores) among subgroups of patients with positive detection of one or more periodontal pathogens. Differences in age, gender, ethnicity, and cigarette smoking were accounted for in each variance model. Between-group comparisons were performed with Bonferroni corrections to account for multiple testing. The level of statistical significance was set at a P value of <0.05. The statistical package used was SPSS version 14.0 (SPSS Inc., Chicago, IL).
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5 mm (P < 0.01) was obtained, together with a reduction in the mean full-mouth PPD and full-mouth bleeding (P < 0.01) and plaque (P < 0.01) scores at 2 and 6 months post therapy compared to baseline data. |
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TABLE 1. Mean clinical data at baseline and 2 and 6 months after completion of the nonsurgical periodontal therapy
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Table 2 shows the prevalences of P. gingivalis, A. actinomycetemcomitans, and T. forsythia in patients with generalized aggressive periodontitis before treatment and at 2 and 6 months posttreatment. The most prevalent of the three bacteria detected in subgingival plaque from these patients was T. forsythia, followed by P. gingivalis and A. actinomycetemcomitans. Throughout the 6-month period, T. forsythia was detected in 81.3% to 63.2%, P. gingivalis in 77.6% to 43.2%, and A. actinomycetemcomitans in 49.5% to 30.5% of the subjects.
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TABLE 2. Numbers of subjects harboring A. actinomycetemcomitans, P. gingivalis, or T. forsythia
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5 mm) was inversely associated with the number of pathogens detected (presence of one, two, or three periodontal pathogens) (P = 0.001) independent of supragingival plaque scores. Subjects who harbored only a single pathogen had a mean number of 90 (±4) pockets (
5 mm) present, whereas subjects with two detectable pathogens had a mean number of 79 (±3) pockets present and subjects with all three periopathogens present had a mean number of 68 (±4) pockets present. This difference, however, was not observed in terms of whole-mouth gingival probing pocket depth. The detection of two or three pathogens was associated with lower whole-mouth plaque (P < 0.001) and gingival bleeding (P = 0.036) scores compared to clinical data from subjects who harbored only a single pathogen (Table 3). When we compared the differences in the local gingival parameters where microbiological sampling was done, we observed similar differences, but they were not statistically significant. |
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TABLE 3. Mean full-mouth bleeding scores and full-mouth subgingival plaque scores in subjects harboring one, two, or all three periodontal pathogens
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The presence of more than one pathogen in an individual subject was common, with 72% of the 107 subjects harboring a combination of any two, or all three, of the periodontal pathogens before treatment commenced. After treatment, 65.6% and 40.4% of the subjects at 2 and 6 months posttreatment harbored more than one periodontal pathogen, with significantly fewer subjects harboring more than one pathogen at 6 months posttreatment compared to the baseline data (P = 0.030). Recolonization of periodontal pockets with these pathogens did occur in some of the patients at 6 months posttreatment. Recolonization with T. forsythia was most frequently seen; of the 23 patients in whom T. forsythia could be detected at baseline but not at 2 months posttreatment, 11 (47.8%) were subsequently positive for T. forsythia at 6 months posttreatment. Recolonization of the periodontal pockets with P. gingivalis and A. actinomycetemcomitans at 6 months occurred in 35.5% and 21.1% of the patients who were negative for these pathogens at 2 months posttherapy.
Statistical analysis confirmed that at 2 months posttherapy, the increasing presence of any of the three periodontal pathogens was associated with a lower PPD (P = 0.04) and number of pockets (
5 mm) present (P = 0.015), compared to clinical data obtained from subjects who did not harbor any of these pathogens, independent of whole-mouth plaque scores (Table 4). At 6 months posttreatment, this difference was no longer evident, and no association between the presence of individual or combined periodontal pathogens and increased disease severity could be detected. To determine if there was a progression in the severity of the disease between 2 and 6 months, analysis of changes in CAL at each visit was carried out. Using loss of
2 mm of periodontal attachment as clinically relevant disease progression, there was no difference in the progression rate of the disease in subjects who harbored any of the three pathogens either individually or in specific combinations.
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TABLE 4. Mean full-mouth probing depths and numbers of pockets ( 5 mm) present in subjects harboring one, two, or all three periodontal pathogens
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Interestingly, before periodontal therapy commenced, subjects who harbored only one of the periodontal pathogens had a greater number of periodontal pockets (>5 mm) present (90 ± 4 pockets) than those subjects who harbored two (79 ± 3 pockets) or all three (68 ± 4 pockets) of these periodontal pathogens. This greater level of disease in subjects who harbored only a single pathogen was also demonstrated at 2 months posttherapy, with those subjects who harbored only a single pathogen having greater PPD and numbers of pockets present. The reason for this observation is unclear; however, the microbial community present in subgingival plaque is complex, and bacterial interactions, whether positive (synergism or commensalism) or negative (antagonism), are likely to play an important role in the development and maintenance of the members of this community (16) and thereby influence the severity of periodontal disease. Alexander (1) proposed that the ability to maintain homeostasis within a microbial community increases with species diversity. Previous in vitro studies have investigated potential anatagonisic microbial interactions (5, 6, 11). Bostanci et al. (5) demonstrated that P. gingivalis was able to antagonize the ability of other bacterial species (including periodontal pathogens) to induce production of the proinflammatory cytokine interleukin-1
(IL-1
). Other work has shown that P. gingivalis was able to antagonize the ability of Campylobacter rectus to induce production of IL-6 and IL-8 (6). Johansson et al. (11) demonstrated that several periodontal bacteria are able to inhibit the activity of the A. actinomycetemcomitans leukotoxin; indeed, P. gingivalis exhibited the strongest inhibition of A. actinomycetemcomitans leukotoxicity. These previous studies have demonstrated that both cytokine production and the activity of virulence determinants can be reduced when the producer organisms are part of a mixed microbial community. If polymicrobial infections are able to moderate the immune response, then it is possible that a reduction in cytokine levels combined with an inhibition of virulence factors may reduce the severity of the disease. Conversely, if a patient's microbiota is less diverse, the species present may not be subjected to the same degree of antagonistic interactions and may therefore be able to promote a greater inflammatory response leading to a more severe clinical outcome. These data suggest that a reduction in the number of species present may be important in moderating the severity of periodontal diseases. Further studies are required to investigate if other microbial combinations also affect the clinical severity of periodontal diseases and also to determine the precise nature of the antagonistic interactions involved.
We thank Adam P. Roberts and Lindsay Sharp for their assistance with the DNA sequencing.
Published ahead of print on 13 August 2008. ![]()
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