• Korean Journal of Microbiology
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• v.53 no.3
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• pp.222-224
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• 2017

Prevotella intermedia is a Gram-negative, obligately anaerobic, nonsporeforming, and nonmotile rod. P. intermedia is associated with periodontitis, pregnancy gingivitis, acute necrotic ulcerative gingivitis, endodontic infection, and rheumatoid arthritis. P. intermedia KCOM 1107 (= ChDC KB29) was isolated from a human subgingival dental plaque of gingivitis lesion. Here, we present the draft genome sequence of P. intermedia KCOM 1107.

• The Journal of the Korean dental association
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• v.22 no.10 s.185
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• pp.865-868
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• 1984

Three Korean rapidly progressive periodontitis patient (R.P.P.) were examined for the isolation and identification of black-pigmented Bacteroides and Bacteroides gingivalis in the subgingival plaque. Black-pigmented Bacteroides and Bacteroides gingivalis were recovered from all three R.P. patients and the predominant isolates were Bacteroides intermedius followed by Bacteroides gingivalis. The B. gingivalis isolated from subgingival plaque of rapidly progressive periodontitis patients were Gram-negative pleomorphic rods and each produced brown to black colonies on blood agar plate supplemented with 5% rabbit 5ug/ml haemin, 0.5ug/ml of menadione and 40ug/ml of Kanamycin. The B. gingivalis isolated were fermented none of Glucose, Sucrose, Lactose, Esculin and Cellobinose and produced indole. Isolation and identification of Bacteroides gingivalis in Korean R.P. patients can be contributed to the research on the pathogenesis of Korean periodontal disease.

• International Journal of Oral Biology
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• v.45 no.2
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• pp.70-75
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• 2020

The aim of this study was to identify strain KCOM 1265 isolated from subgingival plaque at the species level by comparing 16S ribosomal RNA gene (16S rDNA) and genome sequences. The whole genome of strain KCOM 1265 was extracted using the phenol-chloroform extraction method. 16S rDNA was amplified using polymerase chain reaction and sequenced using the dideoxy chain termination method. Pairwise genome comparison was performed using average nucleotide identity (ANI) and genome-to-genome distance (GGD) analyses. The data showed that the percent similarity of 16S rDNA sequence of strain KCOM 1265 was 99.6% as compared with those of Fusobacterium polymorphum ATCC 10953^T and Fusobacterium hwasookii KCOM 1249^T. The ANI values of strain KCOM 1265 with F. polymorphum ATCC 10953^T and F. hwasookii KCOM 1249^T were 95.8% and 93.0%, respectively. The GGD values of strain KCOM 1265 with F. polymorphum ATCC 10953^T and F. hwasookii KCOM 1249^T were 63.9% and 49.6%, respectively. These results indicate that strain KCOM 1265 belongs to F. polymorphum.

• Korean Journal of Microbiology
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• v.54 no.1
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• pp.71-73
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• 2018

Recently, Fusobacterium nucleatum subsp. polymorphum was reclassified as Fusobacterium polymorphum based on the average nucleotide identity and genome-to-genome distance analyses. F. polymorphum is a Gram-negative, anaerobic, and filament-shaped bacterium. F. polymorphum is a part of normal flora of oral cavity and causative agent of periodontal diseases. F. polymorphum KCOM 1001 (= ChDC F119) was isolated from a human subgingival plaque of gingivitis lesion. Here, we present the complete genome sequence of F. polymorphum KCOM 1001.

• Journal of Periodontal and Implant Science
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• v.24 no.1
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• pp.1-14
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• 1994

Dental calculus which is calcifing and/or calcified dental plaque is divided into supragingival calculus and subgingival calculus according to the position of deposit to gingival margin. Subgingival calculus has more important clinical significance in diagnosis and treatment of periodontal disease than supragingival calculus. In order to investigate the deposition pattern of subgingival calculus on each root surface of different tooth type, extracted 192 teeth due to excessive destruction of periodontal tissue were divided according to tooth type and the deposition pattern of subgingival calculus was classified into linear type, veneer type, scattered type, and aggregated type according to the configuration and the extent of deposit. The difference of percentage between each deposition pattern was statistically analyzed by Chi-Square test. Following results were obtained : l. In maxillary incisors, linear type and aggregated type were predominant deposition pattern of subgingival calculus on labial(45.5%, 36.4%) and palatal(36.4%, 36.4%) root surface, aggreated type(72.7%) was on mesial surface, and aggregated type(54.5%) and scattered type(36.4%) was on distal suface. 2. In mandibular incisors, scattered type, linear type and aggregated type were predominant deposition pattern of subgingival calculus on labial(33.3%, 30.6%, 27.8%) and lingual(36.1%, 30.6%, 25.0%) root surface, aggregated type(33.3%), scattered type(27.8% ), and veneer type(27.8%) were on mesial surface, and aggregated type(38.9%) and scattered type(33.3%) on distal surface. 3. In maxillary peremolars, the predominant deposition patterns of subgingival calculus were linear type(28.6%) on buccal root suface, scattered type(35.7%) and linear type(28.6%) on palatal surface, scattered type(39.3%) on mesial surface, aggregated type(46.4%) on distal surface, and aggregated type(53.6%) on furcation area. 4. In mandibular premolars, scattered type was predominant deposition pattern of subgingival calculus on buccal(39.3%) and lingual(50.0%) root surface, scattered type(32.1%) and aggregated type(32.1% ) were on mesial surface, and aggregated type(42.9%) was on distal surface. 5. In maxillary molars, aggregated type(40.0%) and scattered type(32.5%) were predominat deposition pattern of subgingival calculus on buccal root surface, aggregated type was on distal(40.0%) and furcation area(50.0%), but there was no predominat pattern on palatal and mesial root surfaces. 6. In mandibular molars, aggregated type(39.5%) and scattered type(28.9%) were predominant deposition patterns of subgingival calculus on buccal root surface, aggregated type(36.8%) was on lingual surface, linear type(39.5%) and aggregated type(34.2%) were on furcation area, but there was no predominant pattern on mesial and distal root surfaces.

• Journal of Periodontal and Implant Science
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• v.28 no.4
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• pp.691-703
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• 1998

The 16S rRNA analyzing method is a bacterial identification method that is useful in identifying bacteria which is difficult to do by other means. The following 7 types of bacteria which are Treponema, A. actinomycetemcomitans, P. gingivalis, Fusobacterium, B. forsythus, P. intermedia, P. micros were evaluated in order to study their distribution among patients with adult periodontitis. The 16S rRNA analyzing method was used to compare bacterial distribution among 3 groups. Subgingival plaque acquired from the affected sites(pocket depth ${\geq}6mm$) of 29 patients with adult periodontitis were grouped as the experimental group while plaque from the non-affected sites(pocket depth ${\leq}3mm$) were grouped as control 2 and finally plaque acquired from students with healthy periodontal tissues were grouped as control 1. The results are as follows ; 1. The distribution of Treponema was 12.5% for control 1, 21.4% for control 2 and 75.4% for the experimental group. For A. actinomycetemcomitans the distribution was 0.5%, 19.0%, 44.4% in respect to the order of groups mentioned above. P.gingivalis showed 10.5%, 43.1%, 94.0% distribution, Fusobacterium 33.0%, 48.3%, 81.0% distribution, B. forsythus 9.5%, 17.2%, 65.9% distribution, P. intermedia 1.0%, 12.1%, 26.3% distribution and finally P. micros 5.0%, 19.0%, 48.7% respectively. In all 7 types of bacteria, the experimental group showed higher bacterial distribution compared to the other two groups with statistically significant difference. 2. In the case of Treponema, A. actinomycetemcomitans, gingivalis,Fusobacterium, B. forsythus, P. intermedia, P. micros showed significant difference between control 1 and 2. These results suggest that the 16S rRNA analyzing method which was applied on Koreans for the first time could be utilized and useful in finding potential pathogens of periodontal disease.

• The Journal of Korean Academy of Prosthodontics
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• v.31 no.3
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• pp.411-422
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• 1993

Osseointegrated dental implants are now an accepted part of the prosthetic treatment of fully and partially edentulous patients. Clinical studies have shown that osseointegrated dental implants may successfully be used as abutments for prosthetic rehabilitations, and that the supporting tissue can be kept in a stable and healthy clinical state for prolonged periods of time. The purpose of this study was to look for differences in the distribution in the bacterial morphotypes around natural teeth and osseointegrated dental implants. The subgingival plaque around natural teeth and implants was analysed by means of differential phase-contrast microscopy. In addition, clinical indices used to analyse natural teeth condition were used to compare the condition of natural teeth and implants. The results were as follows : 1. In implants of partially edentulous patients, the plaque index, sulcus bleeding index(P<0.05), pocket depth(P<0.01) were greater than natural teeth. 2. Gingival crevicular fluid volume was not significantly different between natural teeth and implants. 3. In implants of fully edentulous patients, the plaque index was greater than natural teeth(P<0.01) and implants of partially edentulous patients(P<0.05), but sulcus bleeding index was not significantly different. 4. In partially edentulous patient, coccoid cell proportion was greater in implants than natural teeth (P<0.05). 5. In implants of fully edentulous patients, coccid cell proportion was even greater than implants of partially edentulous patients(P<0.05) and natural teeth(P<0.01). 6. Among three groups, the proportions of non-motile rods, motile rods, spirochetes and others were not significantly different. 7. The proportion of motile bacteria was not significantly different among three group.

• Journal of Periodontal and Implant Science
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• v.50 no.6
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• pp.358-367
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• 2020

Purpose: The aim of this study was to investigate the efficacy and validity of subgingival bacterial sampling using a retraction cord, and to evaluate how well this sampling method reflected changes in periodontal conditions after periodontal therapy. Methods: Based on clinical examinations, 87 subjects were divided into a healthy group (n=40) and a periodontitis group (n=47). Clinical measurements were obtained from all subjects including periodontal probing depth (PD), bleeding on probing (BOP), clinical attachment loss (CAL), and the plaque index. Saliva and gingival crevicular fluid (GCF) as a subgingival bacterial sample were sampled before and 3 months after periodontal therapy. The salivary and subgingival bacterial samples were analyzed by reverse-transcription polymerase chain reaction to quantify the following 11 periodontal pathogens: Aggregatibacter actinomycetemcomitans (Aa), Porphyromonas gingivalis (Pg), Tannerella forsythus (Tf), Treponema denticola (Td), Prevotella intermedia (Pi), Fusobacterium nucleatum (Fn), Pavimonas micra (Pm), Campylobacter rectus (Cr), Prevotella nigrescens (Pn), Eikenella corrodens (Ec), and Eubacterium nodatum (En). Results: Non-surgical periodontal therapy resulted in significant decreases in PD (P<0.01), CAL (P<0.01), and BOP (P<0.05) after 3 months. Four species (Pg, Tf, Pi, and Pm) were significantly more abundant in both types of samples in the periodontitis group than in the healthy group. After periodontal therapy, Cr was the only bacterium that showed a statistically significant decrease in saliva, whereas statistically significant decreases in Cr, Pg, and Pn were found in GCF. Conclusions: Salivary and subgingival bacterial sampling with a gingival retraction cord were found to be equivalent in terms of their accuracy for differentiating periodontitis, but GCF reflected changes in bacterial abundance after periodontal therapy more sensitively than saliva.

• Journal of Periodontal and Implant Science
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• v.52 no.4
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• pp.282-297
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• 2022

Purpose: To explore differences in the subgingival microbiome according to the presence of periodontitis and/or type 2 diabetes mellitus (T2D), a metagenomic sequencing analysis of the subgingival microbiome was performed. Methods: Twelve participants were divided into 4 groups based on their health conditions (periodontitis, T2D, T2D complicated with periodontitis, and generally healthy). Subgingival plaque was collected for metagenomic sequencing, and gingival crevicular fluids were collected to analyze the concentrations of short-chain fatty acids. Results: The shifts in the subgingival flora from the healthy to periodontitis states were less prominent in T2D subjects than in subjects without T2D. The pentose and glucuronate interconversion, fructose and mannose metabolism, and galactose metabolism pathways were enriched in the periodontitis state, while the phosphotransferase system, lipopolysaccharide (LPS) and peptidoglycan biosynthesis, bacterial secretion system, sulfur metabolism, and glycolysis pathways were enriched in the T2D state. Multiple genes whose expression was upregulated from the red and orange complex bacterial genomes were associated with bacterial biofilm formation and pathogenicity. The concentrations of propionic acid and butyric acid were significantly higher in subjects with periodontitis, with or without T2D, than in healthy subjects. Conclusions: T2D patients are more susceptible to the presence of periodontal pathogens and have a higher risk of developing periodontitis. The pentose and glucuronate interconversion, fructose and mannose metabolism, galactose metabolism, and glycolysis pathways may represent the potential microbial functional association between periodontitis and T2D, and butyric acid may play an important role in the interaction between these 2 diseases. The enrichment of the LPS and peptidoglycan biosynthesis, bacterial secretion system, and sulfur metabolism pathways may cause T2D patients to be more susceptible to periodontitis.

• Journal of Periodontal and Implant Science
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• v.23 no.3
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• pp.411-421
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• 1993

The purpose of this study was to assess the effect of polycaprolactone strip with minocycline on the periodontal pocket in humans and the various clinical parameters in rapidly progressive periodontitis. Nine patients with rapidly progressive periodontitis were selected for the study. They had not taken antibiotics for 6 months and had no history of dental treatment for 6 months before the study. They were in good general health. By the split-mouth method, patients received a supragingival scaling, experimental group (9sites) were subjected to subgingival placement of polycaprolactone strips(1 strip) containg 30% minocyclne and control group (9 site) were subjected to subgingival placement of not polycaprolactone strips(1 strip) containing 30 A Minocycline. Strips were replaced with freshly filled ones at 1 week and 2 week. All strips were removed from pockets at 3 week Clinical examination (plaque index, gingival index, probing pocket depth) and distribution on the bacteria morphology of subgingival plaque were monitored on baseline (0 week), 1, week, 2 week, 4 week and 8 week. The result were as follows : 1. Plaque index in experimental group was not significantly reduced during all weeks(P<0.05), but slightly reduced at 2, 4 and 8 weeks and that in control group was not significantly reduced during monitoring period. 2. Probing pocket depth was significantly reduced at 2, 4 and 8 weeks(P<0.05) in experimental group, but that in control group was not siginificantly changed during monitoring period. 3. Gingival index was significantly improved at 2, 4 and 8 weeks(P<0.05) in experimental group but that in control group was not significantly changed. 4. Percentage of cocci was significantly increased at 2, 4 and 8 weeks in experimental group but that in control group was not significantly changed. 5. Percentage of non-motile rods in both group were not significantly changed when compared with those of baseline(0 week) (P<0.05). 6. Percentage of motile rods was siginificantly reduced at 1, 2 and 4 weeks in experimental group (p<0.05) but that in control group was not significantly changed. 7. Percentage of spirochetes was siginificantly reduced during all weeks(P<0.05) but that in control group was not significantly changed. The result showed that polycaprolactone containing 30% minocycline effect the clinical index and bacterial morphotype.