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Home医源资料库在线期刊微生物临床杂志2005年第43卷第8期

Identification of Candidate Periodontal Pathogens and Beneficial Species by Quantitative 16S Clonal Analysis

来源:微生物临床杂志
摘要:SectionofPeriodontologySectionofPediatricDentistrySectionofOralBiology,CollegeofDentistryDivisionofEpidemiologyandBiostatistics,CollegeofMedicineandPublicHealth,TheOhioStateUniversity,Columbus,Ohio43218ABSTRACTMoststudiesofthebacterialetiologyofperiodontiti......

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    Section of Periodontology
    Section of Pediatric Dentistry
    Section of Oral Biology, College of Dentistry
    Division of Epidemiology and Biostatistics, College of Medicine and Public Health, The Ohio State University, Columbus, Ohio 43218

    ABSTRACT

    Most studies of the bacterial etiology of periodontitis have used either culture-based or targeted DNA approaches, and so it is likely that pathogens remain undiscovered. The purpose of this study was to use culture-independent, quantitative analysis of biofilms associated with chronic periodontitis and periodontal health to identify pathogens and beneficial species. Samples from subjects with periodontitis and controls were analyzed using ribosomal 16S cloning and sequencing. Several genera, many of them uncultivated, were associated with periodontitis, the most numerous of which were gram positive, including Peptostreptococcus and Filifactor. The genera Megasphaera and Desulfobulbus were elevated in periodontitis, and the levels of several species or phylotypes of Campylobacter, Selenomonas, Deferribacteres, Dialister, Catonella, Tannerella, Streptococcus, Atopobium, Eubacterium, and Treponema were elevated in disease. Streptococcus and Veillonella spp. were found in high numbers in all samples and accounted for a significantly greater fraction of the microbial community in healthy subjects than in those with periodontitis. The microbial profile of periodontal health also included the less-abundant genera Campylobacter, Abiotrophia, Gemella, Capnocytophaga, and Neisseria. These newly identified candidates outnumbered Porphyromonas gingivalis and other species previously implicated as periodontopathogens, and it is not clear if newly identified and more numerous species may play a more important role in pathogenesis. Finally, more differences were found in the bacterial profile between subjects with periodontitis and healthy subjects than between deep and shallow sites within the same subject. This suggests that chronic periodontitis is the result of a global perturbation of the oral bacterial ecology rather than a disease-site specific microbial shift.

    INTRODUCTION

    There is considerable evidence to show that bacterial plaque is the etiologic agent in chronic periodontitis. No single species has been implicated as a primary pathogen, and the available evidence is consistent with a polymicrobial disease etiology. Nearly all studies on the bacterial etiology of periodontitis have used either culture-based or directed DNA approaches, targeting known species. The prevailing paradigm that implicates minor constituents of the subgingival community, the gram-negative bacteria Porphyromonas gingivalis, Tanerella forsythensis, and Treponema denticola (24), as periodontopathogens is based on such approaches. However, culturing is not representative of the composition of a microbial community, since it is often too selective, especially for fastidious and as-yet-uncultivable species. Even culture-independent targeted approaches are limited to detecting the presence and levels of known species. Obviously cultivation will not detect uncultivated species, but the limitations of closed-ended molecular approaches such as PCR or hybridization assays such as checkerboard and microarrays are not as widely appreciated. Using these approaches it is possible to detect uncultivated species, but only if they have been previously characterized to allow specific primers or probes to be constructed. Perhaps more importantly, quantitative information is incomplete with these methods since the total number of bacteria is not easily determined with a closed-ended approach. Thus, it is possible that pathogens remain undiscovered with such approaches. To advance our understanding of oral biofilm communities and disease processes, it is necessary to more comprehensively identify the microbiota in periodontal health and disease.

    Open-ended molecular approaches capable of detecting all bacteria in a sample, including uncultivated and previously unsuspected ones, are the most powerful methods available for exploring the microbial profile of any community. Recently, cloning and sequencing of bacterial 16S rRNA genes have been used to investigate the composition of environmental samples, as well as samples from the human oral cavity. This culture-independent approach has revealed vastly greater diversity than was apparent with culturing (10, 28). Investigations of oral bacteria using these tools have used enrichment primers for rare taxa, e.g., Spirochaetaceae and Bacteroidetes, or subtraction systems to eliminate predominant taxa such as Streptococcus, enabling selective amplification and identification of rare species. Using this approach, more than 700 orally derived 16S sequences have been deposited in GenBank, less than half of which are from species that have been cultivated and characterized. To identify which of these many oral inhabitants are important in health and disease-associated biofilm communities, an adequately powered clinical study design and a quantitative, representational approach to ribosomal 16S cloning and sequencing that maintains the relative proportions of individual bacterial species is needed.

    The purpose of the present study was to achieve a culture-independent representational analysis of biofilms associated with chronic periodontitis and periodontal health and to identify candidate pathogens and beneficial species or taxa. Since approximately half of oral bacteria are uncultivated, it seems likely that new associations would be revealed by this approach.

    MATERIALS AND METHODS

    Subject selection. Subjects for this institutionally approved study were recruited from the dental clinics at the College of Dentistry of the Ohio State University, and informed consent was obtained. Fifteen subjects with moderate to severe generalized chronic periodontitis were identified after clinical and radiographic examination. The subjects ranged in age from 42 to 80 years. A control group of 15 age- and sex-matched periodontally healthy individuals was also selected. Exclusion criteria for both groups included diabetes, antibiotic therapy in the previous 3 months, oral prophylactic procedures within the last 3 months, fewer than 20 teeth in the dentition, and a history of smoking.

    Sample collection and DNA isolation. Subgingival plaque samples were collected on sterile endodontic paper points (Caulk-Dentsply) after isolation and supragingival plaque removal. Plaque was collected and pooled from the mesial sulcus of every tooth for the healthy subjects. For the periodontitis group, sites for microbial sampling were selected based on probe depth measurements. Plaque from four nonadjacent proximal sites with probe depths of 6 mm or more was collected and pooled (disease or deep-site samples). Samples were similarly acquired from four sites with probe depths of 3 mm or less and separately pooled (healthy or shallow-site samples). Samples were placed in 1.5-ml microcentrifuge tubes and frozen until further analysis. DNA was isolated by using a previously described methodology (20). Briefly, bacteria was removed from the paper points by adding 750 μl of sampling buffer, followed by vortexing for 1 min. The paper points were then removed, the sample pelleted, and the supernatant discarded. The pellet was suspended in 1% sodium dodecyl sulfate in Tris-EDTA (TE), proteinase K was added, and the samples were incubated overnight. DNA was isolated on glass beads and eluted in TE.

    Amplification of 16S rRNA. Bacterial 16S rRNA genes were amplified from the community DNA with universal eubacterial primers A17 (5'-GTT TGA TCC TGG CTC AG-3') and 317 (5'-AAG GAG GTG ATC CAG GC-3') (Biosynthesis, Lewisville, TX). PCR was performed by adding 1 μl of community DNA to a reaction mixture (50-μl final volume) containing 20 nmol of each primer, 40 nmol of deoxynucleotide triphosphates, and 1 U of Taq polymerase. The following cycling conditions were used: denaturation at 94°C for 1 min, annealing at 42°C for 2 min, and elongation at 72°C for 3 min. A final, 10-min elongation at 72°C followed 22 cycles of amplification. The PCR products were purified using the QiaQuik PCR purification kit (QIAGEN, Valencia, CA).

    Cloning and sequencing. The 16S amplicons generated by PCR were cloned into Escherichia coli by using a commercially available kit (TOPO TA cloning kit; Invitrogen, San Diego, CA). Competent TOP10 E. coli cells provided with the kit were transformed, plated onto Luria-Bertani agar plates supplemented with ampicillin, and incubated overnight. Colonies were further selected for the presence of an insert with X-Gal (5-bromo-4-chloro-3-indolyl--D-galactopyranoside). The presence of inserts of the correct molecular size (1,500 bp) was confirmed by PCR amplification of the white colonies with the same primers used for initial amplification and gel electrophoresis of the amplicons on 1% agarose. DNA was stained with ethidium bromide and visualized under UV light (wavelength, 320 nm). The products were then purified with a Millipore kit (Millipore, Billerica, MA) and sequenced with an ABI Prism cycle sequencing kit (BigDye terminator cycle sequencing kit) using an ABI 3700 instrument.

    Sequence analysis. Partial sequences of 500 to 800 bp were obtained from each amplicon. The sequences generated were compared to the GenBank database to identify the closest relatives by using a Time Logic DeCypher Tera BLAST server hosted by the Ohio Supercomputer Center. Sequences with low homology to GenBank entries were screened for chimeras by using the ChimeraCheck program of the Ribosomal Database Project II (http://rdp.cme.msu.edu/html/). Twenty-three clones were identified as chimeric sequences and excluded from further analysis. Sequences were aligned, and a similarity matrix was constructed from the alignments by the method of Jukes and Cantor. Phylogenetic trees were constructed by using the neighbor-joining method. MacVector software was used to generate alignments, similarity matrices, and in phylogenetic tree construction. A novel phylotype was defined as a sequence that differed from the closest GenBank entry by >2%. Sequence data for the whole 16S gene was obtained for novel sequences and submitted to GenBank.

    Statistical analysis. Statistical analysis was carried out with JMP (SAS Institute, Inc., Cary, NC). The microbial profile of periodontally healthy subjects was compared to that of healthy sites and deep pockets in subjects with periodontitis by using Kruskal-Wallis analysis of variance. Within-subject comparisons between deep and shallow sites for individual species were made by using the Wilcoxon signed-rank test. Chi-square analysis was used to test for the presence or absence of species in health and disease.

    RESULTS

    Plaque samples for the study were collected from 15 subjects with moderate to severe chronic periodontitis (separate deep and shallow site samples were collected from each subject) and from 15 age-matched, periodontally healthy control subjects (pooled samples from all teeth). The mean age of the experimental group was 63.6 years (standard deviation [SD] = 9.1), and the mean age of the control group was 60.2 years (SD = 11.3). The difference, as determined by a Student t test, was not significant. The healthy group was 71% male, whereas the periodontitis group was 73% male. No significant difference was found by chi-square analysis. The healthy group was 100% white, and the periodontitis group was 87% white and 13% African-American. The sample size did not permit statistical comparisons by race.

    Sequence data of 500 to 800 bp was obtained for 100 clones from each sample for a total of 4,500 clones. The identification of 100 clones per sample provided a 95% probability of detecting species present at 3% of total bacteria, and a 60% probability at 2%, calculated by using the binomial probability distribution. A total of 42 clones were <98% identical to current GenBank entries, and these clones were grouped into six novel phylotypes (GenBank accession numbers AY947495 to AY947500). A total of 274 species or phylotypes were identified. Table 1 lists these species in order of their ranking by overall prevalence and shows the mean prevalences in the three groups of samples. A table showing the same data sorted by phylogeny (Table S1A in the supplemental material) is available online.

    Figure 1 shows the distribution of bacterial phyla in health and disease. Bacilli and Clostridia, two classes in the phylum Firmicutes, are displayed separately due to their high numbers. Both Clostridia and Deferribacteres showed a significant (P < 0.05) association with periodontitis, and the bacilli were significantly associated with periodontal health. Figure 2 shows the distribution of gram-positive and gram-negative anaerobes and facultative bacteria in relation to health status. Gram-positive but not gram-negative bacteria showed significant differences in relation to periodontal health status: gram-positive facultative bacteria accounted for a greater fraction of total bacteria in healthy subjects than in subjects with periodontitis, and gram-positive anaerobic species were more common in subjects with periodontitis than in healthy subjects.

    Overall, 59.9% of the clone population was made up of as-yet-uncultivable phylotypes. Figure 3 shows the relative prevalence of uncultivated phylotypes to cultivated species within each genus. The genera Deferribacteres, Megasphaera, Desulfobulbus, and Lachnospira were composed entirely of uncultivated phylotypes. Uncultivated phylotypes were predominant within the genera Selenomonas, Veillonella, and Peptostreptococcus. Other genera such as Campylobacter, Gemella, Streptococcus, and Neisseria were composed predominantly of named species.

    Figure 4 shows the distribution of the 22 most common bacterial genera in relation to disease status. Table 2 lists species or phylotypes that showed an association with disease or health (P < 0.1). The ranking of these species indicates their relative prevalence among all clones.

    DISCUSSION

    The current paradigm of the microbial etiology of periodontitis implicates numerically minor gram-negative anaerobic components of the plaque biofilm, such as P. gingivalis, T. forsythensis, and T. denticola, as the primary etiologic agents. Although several lines of evidence are available to support an etiologic role for these species, the epidemiologic data linking these species to disease was obtained with closed-ended approaches that would not allow the detection and enumeration of previously unidentified species. The present study used 16S PCR amplification with universal 16S primers of dental plaque samples, followed by cloning and sequencing to allow an open-ended and quantitative exploration of the bacterial populations present in periodontal health and disease. Using this approach an unexpected profile of health and disease-associated bacteria populations was observed.

    Molecular approach. Subgingival bacterial populations have previously been explored by using 16S cloning and sequencing. These studies have been qualitative studies exploring the diversity of subgingival bacterial populations and have included the use of primers targeted to specific, previously suspected groups of bacteria such as the Bacteroidetes (3, 28), Eubacterium (32), and even Archaea (14), or subtraction systems to eliminate major species, such as streptococci (13), and have used high cycle numbers to enrich for minor species. In the present, quantitative study, in order to retain a representative set of amplicons, a low PCR cycle number was used to avoid plateau effects, and a set of broad, universal eubacterial primers were used. One hundred clones were sequenced and identified from every sample to allow statistical comparisons to be made. Disease-associated samples were collected from the four deepest sites in subjects with established periodontitis. Control samples were collected from shallow sites in these same subjects and also from a separate, age-matched healthy control group. Including samples from completely healthy individuals, as well as from sites that did not exhibit signs of disease in individuals with disease, allowed questions regarding site-specific versus global ecological perturbation to be addressed.

    The most numerous species by 16S clonal analysis belonged to the genera Selenomonas, Streptococcus, Veillonella, Campylobacter, and Peptostreptococcus (Fig. 4). These genera were all detected in a previous culture-based study of periodontal bacteria (34), although all but Streptococcus appeared to account for a relatively smaller fraction of total bacteria. Other major groups of bacteria detected in previous studies by using DNA hybridization included Fusobacterium and, by using cultivation and DNA hybridization, Actinomyces (8, 34). Both were rare in the present study. The greater sensitivity of cultivation compared to molecular analyses for the detection of actinobacteria has been previously reported (22). To investigate this, the DNA isolation and amplification method was tested on Actinomyces viscosus in a mixture with other species, and A. viscosus was detected with comparable sensitivity (data not shown), suggesting that the bias might be attributed to over-representation with cultivation.

    The genera Bacteroides and Porphyromonas were numerically minor, a finding also consistent with earlier studies (31, 34, 35), and spirochetes were also found in low numbers. Centrifugation, freezing, and long storage times before isolation of DNA have been suspected of contributing to loss of delicate, easily lysed organisms such as Spirochetes. However, the DNA isolation method was tested, both with and without centrifugation on both fresh and frozen samples, for recovery of DNA from Spirochetes, and no differences were detected (data not shown). The methodology used for DNA isolation in the present study may have been slightly biased toward gram-negative species, since the protocol did not include disruption of cell wall by vigorous agitation. Nevertheless, large numbers of gram-positive bacteria were detected. Undoubtedly some bias is present with 16S cloning and sequencing of bacterial populations due to differences in isolation of DNA from structurally varied bacteria, varied affinities for universal primers, and differences in the copy numbers of ribosomal genes. For the present study, efforts were made to minimize bias and, compared to cultivation, with less than half of species detectable and many inaccuracies inherent in phenotypic identification, molecular analysis offers a more comprehensive and accurate approach.

    Overall, 274 species or phylotypes of bacteria including six novel phylotypes were detected (Table 1), and they belonged to six different phyla (Fig. 1). Consistent with earlier observations (13, 28), ca. 60% of these species were uncultivated. Several of the most numerous genera, including Selenomonas, Veillonella, and Peptostreptococcus, were composed primarily of uncultivated species (Fig. 3). Distributions of several uncultivated bacteria were found to differ between healthy subjects and subjects with periodontitis, and it appears that significant relationships may have been undetectable in previous studies using cultivation-based or closed-ended DNA approaches.

    Only 0.5% chimeric sequences were detected in the present study. Studies using similar approaches have found 1 to 15% of clones to be chimeric sequences (28). For the current study, formation of chimeras was minimized by limiting the PCR cycle number (37). Colonies were also screened for inserts of the expected size by PCR and gel electrophoresis before sequencing, eliminating many potential chimeric sequences.

    The large number of species observed necessitated grouping data into phyla and genera to obtain sufficient power for statistical analysis of all but the most numerous species. However, the data were analyzed at the level of species (alpha = 0.10) to identify candidate species for subsequent investigation. Because of the non-normal distributions typically observed with bacterial counts, nonparametric statistics were used for all analyses.

    Phyla associated with periodontitis. The subgingival flora in both health and periodontitis was dominated by the phylum Firmicutes. The classes Clostridia and Bacilli of the Firmicutes together accounted for 75% of all clones and were associated with opposite ends of the health spectrum: the class Bacilli (most numerous genera were Streptococcus and Gemella) accounted for a greater fraction of the bacteria in healthy subjects; in contrast, the class Clostridia (most numerous genera were Peptostreptococcus, Veillonella, and Selenomonas) was more common in subjects with periodontitis. Several additional opposing patterns of association within phyla were observed, suggesting that analysis at the level of the phylum is not informative for disease classification.

    Analysis at the level of genera showed several statistically significant associations with periodontitis and health. Surprisingly, many of these occurred among the gram positives rather than the gram negatives usually thought to be important in disease.

    Genera and species associated with periodontitis. The taxonomy of the gram-positive anaerobic cocci (GPAC) commonly referred to as "peptostreptococci" is evolving, and some species previously classified as Peptostreptococcus have recently been reassigned to closely related genera (9, 23) such as Anaerococcus, Peptococcus, Micromonas, and Peptonephilus (9). In addition, several uncultivated peptostreptococci were detected in large numbers in the present study. Based on their phylogenetic similarity and evolving taxonomy, the peptostreptococci were grouped together for this analysis. The association of the peptostreptococci with periodontitis was particularly robust, and they were far more numerous than the gram-negative anaerobes commonly associated with periodontitis. At the species level, Peptostreptococcus strains BS044 and CK035 were very numerous and were associated with disease (Table 2). The selectivity of culturing and low specificity of chemical and phenotypic characterization may have prevented their identification as potential pathogens in previous studies.

    GPAC have been isolated from a wide range of human infections, typically constituting one-fourth or more of anaerobic species from clinical specimens (23). Most infections involving GPAC are polymicrobial and appear to involve synergistic interactions with other bacteria (23). Previous epidemiologic evidence has linked peptostreptococci with dental infections, although investigations have been limited to Peptostreptococcus micros, a rare species in the current study (and not associated with disease). P. micros has been associated with odontogenic infections (4, 16) and is significantly higher in smokers, a population that has more extensive and severe periodontitis than nonsmokers (36). It is also more common around mobile teeth (7) and has been found at higher levels in epithelium-associated plaque compared to unattached plaque in the gingival sulcus (5). Targeted DNA approaches have also found P. micros to be elevated in advanced chronic periodontitis (26) and more common in subjects with periodontitis (15). Evidence regarding the mechanism of pathogenesis for GPAC-associated infections is limited. Peptostreptococci isolated from chronic skin ulcers have been shown to inhibit keratinocyte and fibroblast proliferation and wound repopulation in a tissue culture model system (33). P. micros demonstrates both adhesion to epithelium and coaggregation with other species such as P. gingivalis and F. nucleatum mediated by extracellular polysaccharides (11, 12). These data suggest that peptostreptococci may play a role in preventing wound healing in chronic disease and may be important in the physical structure of a disease-associated biofilm. Further exploration of the role these bacteria play in periodontitis is needed.

    The gram-positive rod Filifactor alocis is related to the peptostreptococci, was also common in the samples (Table 2), and was significantly elevated in subjects with disease (Fig. 2). This organism has been previously associated with both chronic periodontitis (15) and endodontic lesions (29).

    Several gram-negative bacteria were also associated with periodontitis, although they occurred in low numbers relative to the gram-positive, disease-associated species. The genus Megasphaera was elevated in cases of periodontitis, and at the species level Megasphaera oral clones BB166, MCE3_141, and BS073 were associated with disease. Megasphaera clone BB166 has been previously associated with chronic periodontitis (15). Megasphaera spp. have been reported as normal inhabitants of the gut and vagina (38), and M. elsdenii has been implicated in bacterial endocarditis in immunocompromised patients (1).

    The genus Desulfobulbus was also associated with disease, and at the species level both Desulfobulbus CH031 and R004 were significantly associated with deep sites. Desulfobulbus species have been previously detected in the gingival sulcus (15, 28) and the human gut (6). Desulfobulbus are sulfate-reducing bacteria and have been frequently detected in aquatic environmental samples.

    Campylobacter sputorum subsp. sputorum and Campylobacter strain BB120 were strongly associated with disease. Taken as a whole the genus Campylobacter was associated with health, but this association was accounted for by the highly prevalent species C. gracilis and C. showae.

    Many clones of Selenomonas were detected, most from the cultivable species S. sputigena, S. infelix, and S. noxia. None of these were associated with disease, although S. noxia has been previously linked to active periodontitis (34). The less numerous and uncultivated Selenomonas phylotypes D0-042, EY047, and AH132 were associated with disease, and, in contrast, Selenomonas strain DS051 was detected more frequently in healthy subjects.

    Dialister pneumosintes and Dialister phylotype ME_134 were associated with periodontitis. D. pneumosintes has been previously linked to periodontitis (2, 25) and to endodontic infections (30). Deferribacteres phylotypes W090 and BH007 were associated with periodontitis, and W090 has been previously linked to disease (15). In addition, uncultivated phylotypes of Catonella, Streptococci, Atopobium, Eubacterium, and Treponema were also significantly associated with disease (Table 2). However, because of the large number of species examined, some associations are likely to occur by random chance, and these candidates require further investigation.

    P. gingivalis, T. denticola, and T. forsythia were rarely detected in the present study and, of these, only T. forsythia was associated with disease. Strong associations with disease have been observed for these species in many previous studies, but when quantitative results have been reported, they have comprised only a small fraction of the total bacteria. The sample size in the present study did not provide adequate power to detect association for minor species. More numerous bacteria did show strong associations with disease, however, indicating that potentially important bacteria have been overlooked in previous studies due to technical challenges. What remains unclear at the present time is whether these newly identified and more numerous species play a more important role in pathogenesis than the less numerous previously implicated species.

    Genera and species associated with health. Streptococcus and Veillonella spp. were found in high numbers in all samples and accounted for a significantly greater fraction of the microbial community in healthy subjects than in those with periodontitis. At the species level both S. sanguis and S. mutans were associated with periodontal health, as was the overall most abundant species, Veillonella sp. oral clone X042. Both Streptococcus and Veillonella have been previously associated with periodontal health (8, 34). Veillonella oral clone X042 is very closely related to V. parvula and V. dispar by 16S phylogeny and may be part of an indistinguishable cluster (18). The parallel relationship observed between levels of streptococci and Veillonella is not surprising in view of the fact that veillonellae utilize short-chain acids such as lactates that are secreted by gram-positive facultatives such as streptococci (21), and it has been shown that veillonellae will not colonize tooth surfaces without streptococci (19).

    The microbial profile of periodontal health also included the less-abundant genera Campylobacter, Abiotrophia, Capnocytophaga, Gemella, and Neisseria. This confirms earlier studies linking Capnocytophaga (8, 27, 34) and Campylobacter gracilis (17) to health.

    Levels of the genera Streptococcus and Veillonella were more similar between shallow and deep sites in individuals with periodontitis than between healthy individuals and those with periodontitis. A similar phenomenon was observed for many health- and disease-associated species (Table 2): many more differences were observed between healthy and diseased subjects than were found between shallow and deep sites in individuals with disease. It appears that disease may involve a disruption in the microbial ecology of the entire dentition rather than a disease site-specific shifts and that transitions between health and chronic periodontitis are associated with shifts in the relative proportions of major bacteria.

    Several issues regarding molecular epidemiologic approaches to the study of chronic bacterial diseases deserve mention. First, these studies can demonstrate association but do not establish causation; subsequent studies are needed. Second, interactions with the host are likely to be important and are poorly understood at the present time. Finally, the diversity in bacterial communities is just beginning to be explored. We have little knowledge of the genetic heterogeneity in these communities beyond that occurring in ribosomal genes, so it is not clear whether explorations should be conducted at the level of genus, species, or even virulence genes. Polymicrobial bacterial communities are complex and undergo interactions within the community that could be critical determinants. Bacterial profiles also vary among individual hosts, suggesting that periodontitis has a heterogeneous etiology. Because of this complexity, much larger sample sizes than those achievable with current technology may be required for a full understanding of chronic polymicrobial diseases.

    In summary, the largest differences between health-associated and periodontitis-associated biofilm communities were found among the gram-positive species. Peptostreptococcus and Filifactor were elevated in subjects with periodontitis, and Streptococcus, Abiotrophia, and Gemella were elevated in healthy subjects. Differences were also observed among the gram-negative bacteria: Veillonella, Campylobacter, and Capnocytophaga levels were higher in the plaque of healthy subjects, and Megasphaera and Desulfobulbus levels were increased in cases of periodontitis. Several species were also identified as candidates for further study, including many uncultivated phylotypes. These newly identified candidates outnumbered P. gingivalis and other species previously implicated as periodontopathogens, and it is not clear whether newly identified and more numerous species may play a more important role in pathogenesis. Finally, more differences were found in the bacterial profile of the two subject groups than between deep and shallow sites within the same mouth. This suggests that chronic periodontitis is the result of a global perturbation of the oral bacterial ecology rather than a disease-site specific microbial shift.

    ACKNOWLEDGMENTS

    This study was supported by Public Health Service grant DE10467 from the National Institute of Dental and Craniofacial Research.

    High-performance computing access was provided by the Ohio Supercomputer Center. We thank Ashley Beroski and Erin Gross for technical assistance.

    Supplemental material for this article may be found at http://jcm.asm.org/.

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作者: Purnima S. Kumar, Ann L. Griffen, Melvin L. Moesch 2007-5-10
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