Abstract
A real-time PCR assay developed to quantify Methanobrevibacter oralis indicated that its inoculum significantly correlated with periodontitis severity (P = 0.003), despite a nonsignificant difference in prevalence between controls (3/10) and patients (12/22) (P = 0.2, Fisher test). The M. oralis load can be used as a biomarker for periodontitis.
TEXT
Periodontitis is an anaerobic infection possibly leading to loss of teeth (1–3). It likely results from infection with microbial complexes comprising methanogens (4, 5), mostly Methanobrevibacter oralis (6–8). In this study, we correlated the M. oralis load as measured by real-time PCR in subgingival plaque with the severity of periodontitis.
All patients diagnosed with periodontitis from October 2011 to June 2012 were included. The control individuals with generally healthy gingiva were volunteers. All patients underwent interviews for medical and dental history, intraoral examination to determine bleeding on probing (BOP), probing depth (PD), and plaque index (PI), and radiographs (9); periodontal status was also scored as described previously (10) (Table 1). All individuals signed an informed-consent form, and the ethics committee of the IFR 48, University of Aix-Marseille, approved the protocol.
Table 1.
M. oralis cell numbers and CT values of two internal controlsa
Sample |
CT value |
No. of M. oralis cells | BOP | PD (mm) | PI (%) | Clinical score | |
---|---|---|---|---|---|---|---|
Stdint | All bacteria | ||||||
P1 | 21.9 | 33.3 | Localized | 6 | 32 | 19 | |
P2 | 22.6 | 23.1 | 3.125E+04 | Generalized | 8 | 63 | 28 |
P3 | 22.4 | 22.6 | 7.962E+05 | Localized | 8 | 34 | 30 |
P4 | 21.2 | 21.4 | 8.965E+05 | Generalized | 6 | 60 | 27 |
P5 | 24.0 | 27.9 | 6.325E+03 | Generalized | 5 | 65 | 27 |
P6 | 20.9 | 35.1 | Localized | 5 | 28 | 16 | |
P7 | 22.8 | 37.8 | Generalized | 6 | 56 | 18 | |
P8 | 23.4 | 31.5 | Generalized | 7 | 34 | 23 | |
P9 | 24.5 | 21.6 | 6.125E+06 | Generalized | 6 | 38 | 27 |
P10 | 23.3 | 22.2 | 3.896E+05 | Localized | 6 | 54 | 21 |
P11 | 21.8 | 37.6 | Generalized | 9 | 40 | 29 | |
P12 | 22.2 | 27.2 | 2.005E+04 | Generalized | 7 | 70 | 29 |
P13 | 24.3 | 28.5 | 2.654E+03 | Generalized | 6 | 55 | 26 |
P14 | 241 | 26.3 | 9.652E+02 | Localized | 6 | 59 | 27 |
P15 | 23.3 | 35.2 | Generalized | 7 | 59 | 24 | |
P16 | 22.2 | 37.2 | Generalized | 6 | 62 | 28 | |
P17 | 23.4 | 24.2 | 5.324E+03 | Localized | 5 | 29 | 27 |
P18 | 23.9 | 35.6 | Localized | 10 | 85 | 30 | |
P19 | 22.2 | 34.3 | Localized | 7 | 75 | 26 | |
P20 | 23.6 | 23.9 | 1.956E+05 | Localized | 7 | 12 | 28 |
P21 | 24.2 | 26.8 | 5.785E+03 | Generalized | 7 | 33 | 28 |
P22 | 21.9 | 32.7 | Generalized | 7 | 22 | 27 | |
C23 | 24.0 | 35.4 | 4 | ||||
C24 | 23.6 | 35.2 | 4.862E+02 | 8 | |||
C25 | 22.3 | 37.2 | 5 | ||||
C26 | 23.5 | 7 | |||||
C27 | 23.2 | 37.3 | 5 | ||||
C28 | 23.5 | 35.2 | 7 | ||||
C29 | 22.7 | 32.3 | 5.329E+02 | 4 | |||
C30 | 24.1 | 33.5 | 5.974E+02 | 6 | |||
C31 | 23.3 | 5 | |||||
C32 | 24.2 | 36.2 | 4 | ||||
T– | |||||||
T– | |||||||
T+ | 22.2 | 18.3 | 10E+09 | ||||
T+ | 23.4 | 17.5 | 10E+09 |
The total bacterial DNA was tested by real-time PCR, and a quantification plasmid (Stdint) was introduced as an internal control to monitor the absence of PCR inhibition. P, patient; C, controls; BOP, bleeding on probing; PD, probing depth; PI, plaque index. Clinical score was determined as previously reported (10).
Subgingival plaque specimens (50 μl) collected from 3- to 12-mm periodontal pockets in both patients and controls were suspended in 1 ml Tris-HCl (0.05 M, pH 7.5) buffer. After homogenization, a 250-μl aliquot was shaken with 0.3 g of acid-washed beads (≤106 mm; Sigma, Saint-Quentin-Fallavier, France) in a FastPrep-24 instrument (MP Biomedical Europe, Illkirch, France) at a speed of 6.5 m/s (full speed) for 90 s. The supernatant was incubated overnight at 56°C with 180 ml of lysis buffer and 25 μl proteinase K (20 mg/ml) in the Qiagen EZ1 DNA tissue kit (Qiagen, Courtaboeuf, France). After a second cycle of mechanical lysis, the supernatant was incubated for 10 min at 100°C, and total DNA was then extracted using the same kit. Negative controls consisting of sterile DNA-free water were introduced in all the manipulations. The specificity of the M. oralis-cnp602P probe (6-carboxyfluorescein [FAM]-5′AGCAGTGCACCTGCTGATATGGAAGG-3′) (Applied Biosystems, Courtaboeuf, France) and the primer pair M. oralis-cnp602F (5′-GCTGGTGTAATCGAACCTAAACG-3′) and M. oralis-cnp602R (5′-CACCCATACCCGGATCCATA-3′) (Eurogentec, Seraing, Belgium) was verified in silico using the BLAST program at NCBI (http://www.ncbi.nlm.nih.gov/BLAST) and further experimentally ensured by incorporating DNA extracted from Methanobrevibacter smithii ATCC 35061T, Methanosphaera stadtmanae ATCC 43021T, Methanomassiliicoccus luminyensis CSURP135T, Escherichia coli, Salmonella enterica, Staphylococcus aureus, and Treponema denticola ATCC 35405T. Real-time PCR assays were performed with a CFX96 Touch real-time PCR detection system (Bio-Rad, Marnes-la-Coquette, France) using the Mastermix PCR kit (Eurogentec) with 5 pmol of each primer and probe and 5 μl of about 2 μg of DNA into a 20-μl final volume. M. oralis DSMZ 7256T DNA, used as a positive control, and one negative extraction control were included in each reaction plate. Results were expressed as the number of M. oralis cell/ml of specimen (Table 1). A quantification synthetic plasmid was used as an internal control to monitor PCR inhibition, and the total bacterial load was measured as previously described (11). The PCR program was 95°C for 5 min, followed by 40 cycles of 95°C for 1 s, 60°C for 35 s, and 45°C for 30 s. A calibration curve was done by measuring the cycle threshold (CT) value of a serial dilution of M. oralis (10E+01 to 10E+09). As for clinical specimens tested in duplicate, the real-time PCR was regarded as positive for any CT value of <40.
Ten male and twelve female periodontitis patients of ages between 38 and 86 years and ten age-matched controls were prospectively enrolled. The clinical score varied from 4 to 8 for controls and from 16 to 30 for patients (P < 10−3, Student t test). In all PCR-based experiments, negative controls remained negative, whereas the quantification plasmid and the M. oralis control yielded positive amplifications in 100% of specimens. Total bacterial DNA was positive in 8/10 (80%) controls and in 22/22 (100%) periodontitis patients (Table 1). M. oralis DNA was detected in 3/10 (30%) controls, with an average cell number of 5.39E+02 ± 5.58E+01, and in 12/22 (54%) patients, with an average cell number of 7.06E+05 ± 1.74E+06 (P = 0.2, Student t test). M. oralis detection was negative in 3/3 (100%) patients with a clinical score of <20 and positive in 12/19 (63%) patients with a clinical score of >20. The M. oralis cell number correlated significantly with the periodontal clinical score, with an r value of 0.527 (n = 30) and a P value of 0.003. The significance, analysis of variance (ANOVA) test, or the Kruskal-Wallis test (2-tailed) correlation was 0.003.
PCR systems previously used to detect methanogens in the subgingival plaque (6, 8, 12, 13) were not completely specific for M. oralis. Indeed, other methanogens, including Methanobrevibacter smithii (14), Methanosphaera stadtmanae (6), Methanobacterium curvum/Methanobacterium congolense, and Methanosarcina mazeii (15, 16), have been detected in this situation. Here, we developed a real-time PCR assay from the perspective of its routine use in clinical microbiology laboratories. In silico analyses indicated that the cnp60 gene system reported here was M. oralis specific. Accordingly, no amplification was obtained by incorporating seven other archaea and bacteria. Furthermore, amplification of the plasmid control demonstrated the lack of PCR inhibitors in all specimens, and this system was calibrated. Total bacterial control indicated that for a CT value of >35.5, M. oralis detection was not interpretable. Based on these controls, the detection of M. oralis DNA in healthy individuals (CT ≤ 35.5) was possible, in contrast to findings of previous studies (12, 13, 17, 18), and a significant correlation was observed between the M. oralis load and periodontitis severity.
Because of its sensitivity and specificity, the use of this real-time PCR system simplifies the molecular method-based detection of M. oralis in clinical specimens, rendering this task compatible with a routine diagnosis activity. Data herein reported indicate that it is possible to measure the load of M. oralis in the subgingival plaque by using real-time PCR. This study further established the proof of concept that the M. oralis load in the periodontal pockets correlates to a standardized severity score of periodontitis. The increased amount of M. oralis in healthy and diseased patients may indicate its use as a biomarker of altered microbiota. Monitoring the M. oralis load by using real-time PCR could be useful for the diagnosis and staging of patients with periodontitis and treatment follow-up. It could complement clinical evaluation in detecting individuals at higher risk of developing severe periodontitis and be useful in evaluating the efficacy of antibiotic treatment, since M. oralis is highly resistant to antibiotics, except for metronidazole (19).
Footnotes
Published ahead of print 19 December 2012
REFERENCES
- 1. D'Aiuto F, Parkar M, Nibali L, Suvan J, Lessem J, Tonetti MS. 2006. Periodontal infections cause changes in traditional and novel cardiovascular risk factors: results from a randomized controlled clinical trial. Am. Heart J. 151:977–984 [DOI] [PubMed] [Google Scholar]
- 2. Dortbudak O, Eberhardt R, Ulm M, Persson GR. 2005. Periodontitis, a marker of risk in pregnancy for preterm birth. J. Clin. Periodontol. 32:45–52 [DOI] [PubMed] [Google Scholar]
- 3. Pihlstrom BL, Michalowicz BS, Johnson NW. 2005. Periodontal diseases. Lancet 366:1809–1820 [DOI] [PubMed] [Google Scholar]
- 4. Brusa T, Conca R, Ferrara A, Ferrari A, Pecchioni A. 1987. The presence of methanobacteria in human subgingival plaque. J. Clin. Periodontol. 14:470–471 [DOI] [PubMed] [Google Scholar]
- 5. Socransky SS, Haffajee AD, Cugini MA, Smith C, Kent RL., Jr 1998. Microbial complexes in subgingival plaque. J. Clin. Periodontol. 25:134–144 [DOI] [PubMed] [Google Scholar]
- 6. Belay N, Johnson R, Rajagopal BS, Conway de Macario E, Daniels L. 1988. Methanogenic bacteria from human dental plaque. Appl. Environ. Microbiol. 54:600–603 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Ferrari A, Brusa T, Rutli A, Canzi E, Biavati B. 1994. Isolation and characterization of Methanobrevibacter oralis sp. nov. Curr. Microbiol. 29:7–12 [Google Scholar]
- 8. Lepp PW, Brinig MM, Ouverney CC, Palm K, Armitage GC, Relman DA. 2004. Methanogenic Archaea and human periodontal disease. Proc. Natl. Acad. Sci. U. S. A. 101:6176–6181 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Lang NP, Tonetti MS. 2003. Periodontal risk assessment (PRA) for patients in supportive periodontal therapy (SPT). Oral Health Prev. Dent. 1:7–16 [PubMed] [Google Scholar]
- 10. Chandra RV. 2007. Evaluation of a novel periodontal risk assessment model in patients presenting for dental care. Oral Health Prev. Dent. 5:39–48 [PubMed] [Google Scholar]
- 11. Dridi B, Henry M, El Khéchine A, Raoult D, Drancourt M. 2009. High prevalence of Methanobrevibacter smithii and Methanosphaera stadtmanae detected in the human gut using an improved DNA detection protocol. PLoS One 4:e7063 doi:10.1371/journal.pone.0007063 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Li CL, Liu DL, Jiang YT, Zhou YB, Zhang MZ, Jiang W, Liu B, Liang JP. 2009. Prevalence and molecular diversity of Archaea in subgingival pockets of periodontitis patients. Oral Microbiol. Immunol. 24:343–346 [DOI] [PubMed] [Google Scholar]
- 13. Yamabe K, Maeda H, Kokeguchi S, Tanimoto I, Sonoi N, Asakawa S, Takashiba S. 2008. Distribution of Archaea in Japanese patients with periodontitis and humoral immune response to the components. FEMS Microbiol. Lett. 287:69–75 [DOI] [PubMed] [Google Scholar]
- 14. Kulik EM, Sandmeier H, Hinni K, Meyer J. 2001. Identification of archaeal rDNA from subgingival dental plaque by PCR amplification and sequence analysis. FEMS Microbiol. Lett. 196:129–133 [DOI] [PubMed] [Google Scholar]
- 15. Horz HP, Seyfarth I, Conrads G. 2012. McrA and 16S rRNA gene analysis suggests a novel lineage of Archaea phylogenetically affiliated with Thermoplasmatales in human subgingival plaque. Anaerobe 18:373–377 [DOI] [PubMed] [Google Scholar]
- 16. Matarazzo F, Ribeiro AC, Feres M, Faveri M, Mayer MP. 2011. Diversity and quantitative analysis of Archaea in aggressive periodontitis and periodontally healthy subjects. J. Clin. Periodontol. 38:621–627 [DOI] [PubMed] [Google Scholar]
- 17. Vartoukian SR, Palmer RM, Wade WG. 2007. The division “Synergistes.” Anaerobe 13:99–106 [DOI] [PubMed] [Google Scholar]
- 18. Vianna ME, Holtgraewe S, Seyfarth I, Conrads G, Horz HP. 2008. Quantitative analysis of three hydrogenotrophic microbial groups, methanogenic archaea, sulfate-reducing bacteria, and acetogenic bacteria, within plaque biofilms associated with human periodontal disease. J. Bacteriol. 190:3779–3785 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Khelaifia S, Drancourt M. 2012. Susceptibility of archaea to antimicrobial agents: applications to clinical microbiology. Clin. Microbiol. Infect. 18:841–848 [DOI] [PubMed] [Google Scholar]