Objective: To detect and analyze the characteristics of oral microbiota in species composition, function and metabolism among caries, periodontitis and oral healthy individuals, hunting for the microbiome-derived biomarkers with specificity and sensitivity to estimate the occurrence of these two diseases. Methods: Saliva samples were collected from 10 patients with high caries risk [decayed-missing-filled teeth (DMFT)≥6, HC group] in Department of Endodontics, 10 patients with periodontitis of grade Ⅱ A-Ⅲ C (PG group) in Department of Periodontology and 10 oral healthy individuals (HH group) from School of Stomatology, The Fourth Military Medical University during from March 2022 to June 2022. A baseline examination was conducted on all participants, including their oral conditions of caries and periodontal health. Metagenomic sequencing (Illumina PE150 platform) and liquid chromatography-mass spectrometry were used to detect microorganisms and their metabolites in the samples respectively. The sequencing data were analyzed to obtain the information of microbial taxonomic composition, functional genes and metabolites in each group of samples. The basic oral conditions and saliva samples of subjects in each group were evaluated and collected by the same professional endodontist. Results: There were no significant difference in baseline characteristics such as age and sex among the subjects in each group (P>0.05). DMFT in HC group (9.0±1.7) was significantly higher than that in HH group (0) and PG group (0) (F=243.00, P<0.001). Sequencing data analysis showed that the taxonomic compositions of salivary microbiota in each group were mainly Firmicutes, Bacteroidetes, Proteobacteria, Actinobacteria and Fusobacteria at the phylum level, and Streptococcus, Neisseria, Rothia, Prevotella at the genus level. Differential analysis showed that, compared with the HH group, HC group and PG group had significant differences in taxonomic composition (P<0.05), and the most significant among them was Prevotella. At the species level, Prevotella pallens was the most significant change in HC group, and Porphyromonas gingivalis in PG group. Metabolite analysis showed that there were significant differences in metabolites between HC group and PG group. The results showed that, compared with the HH group, the most significant metabolite change was 3-hydroxy-1, 5-diphenylpentan-1-one in HC group (P=0.001) and N1 acetylspermine in PG group (P=0.002) respectively. Compared with the PG group, the metabolite of HC group with the most significant difference is D-glucosamine 6-phosphate (P=0.006). The metabolism gene function analysis showed that, the enrichment of carbohydrate metabolism related genes was highest in HC group, followed with HH group, and it was lowest in PG group. In addition, compared with the HH group, the abundance of functional genes related to glucose metabolism, such as ABC transporter and phosphotransferase system, were significantly decreased in PG group (P<0.05), but significantly increased in HC group (P<0.05). Conclusions: There is a significant correlation between the alternation of carbohydrate metabolism of salivary microbiota with the occurrence of caries and periodontitis. In the future, Prevotella pallens and 3-hydroxy-1, 5-diphenylpentan-1-one may be the potential biomarkers of caries; while Porphyromonas gingivalis and N1 acetylspermine work in the predictions of periodontitis.
Humans ; Saliva/microbiology* ; Dental Caries Susceptibility ; Periodontitis/microbiology* ; Microbiota/genetics* ; Porphyromonas gingivalis/genetics* ; RNA, Ribosomal, 16S/genetics*

OBJECTIVE: To describe the submucosal microbial profiles of peri-implantitis and healthy implants, and to explore bacteria that might be correlated with clinical parameters. METHODS: In the present cross-sectional study, 49 patients were recruited. Each patient contributed with one implant, submucosal biofilms were collected from 20 healthy implants and 29 implants with peri-implantitis. DNA was extracted and bacterial 16S ribosomal RNA (16S rRNA) genes were amplified. Submucosal biofilms were analyzed using 16S rRNA sequencing at Illumina MiSeq platform. Differences between the groups were determined by analyzing α diversity, microbial component and microbial structure. The potential correlation between the bacteria with pocket probing depth (PPD) of peri-implant calculated by Spearman correlation analysis. RESULTS: The α diversity of submucosal microbial of health group was significantly lower than that in peri-implantitis group (Chao1 index: 236.85±66.13 vs. 150.54±57.43, P < 0.001; Shannon index: 3.42±0.48 vs. 3.02±0.65, P=0.032). Principal coordinated analysis showed that the submucosal microbial structure had significant difference between healthy and peri-implantitis groups [R²=0.243, P=0.001, analysis of similarities (ANOSIM)]. Compared with healthy implants, relative abundance of periodontal pathogens were higher in peri-implantitis, including members of the red complex (Porphyromonas gingivalis, Tannerella forsythia, Treponema denticola) and some members of orange complex (Precotella intermedia, Eubacterium nodatum, Parvimonas micra), as well as some new periodontal pathogens, such as Fillifactor alocis, Fretibacterium fastidiosum, Desulfobulbus sp._HMT_041, and Porphyromonas endodontalis. Spearman correlation analysis revealed that the relative abundance of Treponema denticola (r=0.686, P < 0.001), Tannerella forsythia (r=0.675, P < 0.001), Fretibacterium sp. (r=0.671, P < 0.001), Desulfobulbus sp._HMT_041 (r=0.664, P < 0.001), Filifactor alocis (r=0.642, P < 0.001), Fretibacterium fastidiosum (r=0.604, P < 0.001), Porphyromonas gingivalis (r=0.597, P < 0.001), Porphyromonas endodontalis (r=0.573, P < 0.001) were positive correlated with PPD. While the relative abundance of Rothia aeria (r=-0.615, P < 0.001) showed negatively correlation with PPD. CONCLUSION Marked differences were observed in the microbial profiles of healthy implants and peri-implantitis. The members of red and orange complex as well as some new periodontal pathogens seem to play an important role in peri-implant disease. Compared with healthy implants, the submucosal microbial of peri-implantitis were characterized by high species richness and diversity.
Humans ; Peri-Implantitis/microbiology* ; Cross-Sectional Studies ; RNA, Ribosomal, 16S/genetics* ; Bacterial Load ; Porphyromonas gingivalis ; Dental Implants

OBJECTIVEA study was conducted to investigate the effects of Porphyromonas gingivalis lipopolysaccharide (Pg-LPS) on the expression of regulated upon activation normal T-cell expressed and secreted (RANTES) and fractalkine in human umbilical vein endothelial cells (HUVECs).

METHODSHUVECs were incubated with different concentrations of Pg-LPS (200, 500, and 1000 ng x mL(-1)) for 1, 6, 12, and 24 h, respectively. Then real time quantitative polymerase chain reaction (RT-PCR) and enzyme-linked immunosorbent method (ELISA) were adopted to detect the protein levels and mRNA levels of RANTES and fractalkine.

RESULTSThe RANTES protein levels and mRNA levels, as well as fractalkine mRNA levels, were significantly higher in all experimental groups of 1, 6, and 12 h than in the control group (P<0.05), except the expression of RANTES mRNA in 200 ng x mL(-1) group of 12 h and RANTES protein in 200 ng x mL(-1) group of 1 h. The expression levels of RANTES mRNA and fractalkine mRNA were highest in 1000 ng x mL(-1) group of 6 h and were 4.88- and 6.20-fold higher, respectively, than those in the control group. The expression levels of RANTES protein, mRNA, and fractalkine mRNA decreased 6 h after stimulation, and were significantly higher than those in the control group (P<0.05) in the RANTES and fractalkine in HUVEC, and such expression is important in the development of atherosclerosis 500 ng x mL(-1) group of 24 h. There was a significant difference between the expression of fractalkine mRNA in 1000 ng x mL(-1) group of 6 and 12 h than in the control group (P<0.05).

CONCLUSIONPg-LPS infection might up-regulate the expression of RANTES and fractalkine in HUVEC, and such expression is important in the development of atherosclerosis.

Atherosclerosis ; Cells, Cultured ; Chemokine CCL5 ; genetics ; metabolism ; Chemokine CX3CL1 ; analysis ; genetics ; metabolism ; Enzyme-Linked Immunosorbent Assay ; Human Umbilical Vein Endothelial Cells ; metabolism ; Humans ; Lipopolysaccharides ; pharmacology ; Porphyromonas gingivalis ; immunology ; isolation & purification ; RNA, Messenger ; analysis ; Reverse Transcriptase Polymerase Chain Reaction ; Up-Regulation

Fimbriae Proteins ; genetics ; Genotype ; Humans ; Porphyromonas gingivalis ; genetics ; pathogenicity ; Virulence

This study used in vivo microdialysis to examine the effects of intragingival application of lipopolysaccharide (LPS) derived from Porphyromonas gingivalis (Pg-LPS) on gingival tumour necrosis factor (TNF)-α and interleukin (IL)-6 levels in rats. A microdialysis probe with an injection needle attached to the surface of the dialysis membrane was implanted into the gingiva of the upper incisor. For comparison, the effects of LPS derived from Escherichia coli (Ec-LPS) on IL-6 and TNF-α levels were also analysed. Pg-LPS (1 μg/1 μL) or Ec-LPS (1 or 6 μg/1 μL) was applied by microsyringe, with gingival dialysates collected every hour. Enzyme-linked immunosorbent assay (ELISA) revealed that gingival dialysates contained approximately 389 pg·mL⁻¹ of IL-6 basally; basal TNF-α levels were lower than the detection limit of the ELISA. Pg-LPS failed to alter IL-6 levels but markedly increased TNF-α levels, which remained elevated for 2 h after treatment. Neither IL-6 nor TNF-α were affected by Ec-LPS. Reverse transcriptase-polymerase chain reaction (RT-PCR) analysis revealed that the gingiva expresses Toll-like receptor (TLR) 2 and TLR4 mRNA. Immunohistochemical examination showed that TLR2 and TLR4 are expressed by gingival epithelial cells. The present study provides in vivo evidence that locally applied Pg-LPS, but not Ec-LPS, into the gingiva transiently increases gingival TNF-α without affecting IL-6. The present results suggest that TLR2 but not TLR4 expressed on gingival epithelial cells may mediate the Pg-LPS-induced increase in gingival TNF-α in rats.
Animals ; Gingiva ; drug effects ; metabolism ; Interleukin-6 ; metabolism ; Lipopolysaccharides ; administration & dosage ; Male ; Porphyromonas gingivalis ; metabolism ; RNA, Messenger ; genetics ; Rats ; Rats, Sprague-Dawley ; Toll-Like Receptor 2 ; genetics ; metabolism ; Toll-Like Receptor 4 ; genetics ; metabolism ; Tumor Necrosis Factor-alpha ; metabolism

OBJECTIVEThis study measures the glutaredoxin (Grx) gene and protein expression in umbilical vein endothelial cells upon exposure to Porphyromonas gingivalis (P. gingivalis) lipopolysaccharide (LPS). The involvement of the Akt-signaling pathway is also determined.

METHODSEA-hy926 cells were pretreated with 1,000 ng · mL⁻¹ P. gingivalis LPS for 4, 12, 18, and 24 h, and then real-time reverse transcription polymerase chain reaction was employed to detect Grx1 expression. The effect of Grx on Akt activity was investigated using Western blot for the control, LPS (1,000 ng · mL⁻¹ LPS), and carmus- tine (BCNU) groups (1,000 ng · mL⁻¹ LPS, and the EA-hy926 cells were pretreated with 25 μmol · ml⁻¹ BCNU for 30 min).

RESULTSGene expression of Grx1 significantly increased in LPS group compared with that in the control group. The Grx1 expression reached the peak level in 12 h, and the variation between the expression in 4 and 12 h was significant (P < 0.05). After 12 h, the protein levels of Grx and phosphorylated-Akt (p-Akt) significantly increased in the LPS group (P < 0.05), whereas the BCNU group showed a considerable decrease in both Grx and p-Akt expression levels (P < 0.05). Moreover, a slight difference was observed in the total Akt protein levels in the three groups (P > 0.05).

CONCLUSIONGrx expression increased upon exposure of EA-hy926 cells to the LPS. Akt activity could be inhibited by BCNU (a Grx inhibitor), which indicated that Akt might act as a downstream regulator of Grx.

Endothelial Cells ; Glutaredoxins ; genetics ; Humans ; Lipopolysaccharides ; pharmacology ; Oxidative Stress ; drug effects ; Phosphorylation ; Porphyromonas gingivalis ; pathogenicity ; Proto-Oncogene Proteins c-akt ; drug effects ; Signal Transduction ; drug effects ; Umbilical Veins

OBJECTIVETo clone, express, and purify cyclic diadenosine monophosphate (c-di-AMP) metabolism-related genes from Porphyromonas gingivalis (P. gingivalis) ATCC33277.

METHODSPolymerase chain reaction (PCR) from the genome of P. gingivalis ATCC33277 amplified, the coding regions of pgn0523, pgn1187, and pgn2003 genes. The amplified DNA fragments were ligated with a prokaryotic expression vector pET28a to construct the recombinant expression plasmids pET-pgn0523, pET-pgn1187, and pET-pgn2003. These recombinant plasmids were transformed into Escherichia coli (E. coli) BL21 (DE3) competent cells. The expression of recombinant proteins was induced by isopropyl-β-D-thiogalactoside and detected by sodium dodecyl sulfate-polyacrylamide gel electrophoresis. Proteins were purified using a Ni²⁺ matrix column, and their concentrations were determined by a BCA Protein Quantitative Kit.

RESULTSThe c-di-AMP metabolism-related genes from P. gingivalis ATCC33277 were amplified successfully with the correct molecular size. The recombinant expression vectors were constructed by ligating enzyme-digested PCR products and pET28a vector, and verified by PCR and sequencing. After induction and purification, recombinant proteins were expressed successfully and obtained with the correct molecular size (19.5 x 10³, 39.9 x 10³, 66.0 x 10³). The final protein concentrations were 0.708, 0.523, and 0.861 mg · mL⁻¹ after dialysis.

CONCLUSIONThe c-di-AMP metabolism-related genes from P. gingivalis ATCC33277 are cloned successfully, and their coding products are expressed correctly in E. coli. High-purity proteins are finally obtained. The cloning and purification of these important proteins will help us to further investigate the physiological function and regulatory mechanism of c-di-AMP signaling system in P. gingivalis.

Bacterial Proteins ; biosynthesis ; genetics ; isolation & purification ; Cloning, Molecular ; Dinucleoside Phosphates ; Escherichia coli ; genetics ; Genetic Vectors ; Plasmids ; Polymerase Chain Reaction ; Porphyromonas gingivalis ; genetics ; Recombinant Proteins

BACKGROUNDThe occurrence and development of aortic aneurysm (AA) are associated with infection. Some researchers have detected the DNA of periodontal pathogens in AA samples in certain populations. However, it has not been done in Chinese population. The objective of this study was to evaluate the prevalence of periodontal pathogens in oral tissue samples and aneurysm samples of AA patients.

METHODSEighty-nine subjects with AA and 59 subjects without AA were examined. Periodontal clinical parameters were evaluated. Unstimulated saliva and subgingival plaque samples were collected from all subjects. Twenty-six dissected AA samples were obtained. Evidence of eight periodontal pathogens including Porphyromonas gingivalis (Pg), Actinobacillus actinomycetemcomitans (Aa), Prevotella intermedia (Pi), Tannerella forsythensis (Tf), Treponema denticola (Td), Campylobacter rectus (Cr), Fusobacterium nucleatum (Fn), and Prevotella nigrescens (Pn) was ascertained in all samples by 16S rRNA-based polymerase chain reaction (PCR) assay.

RESULTSThe periodontal indexes including plaque index (PLI), probing depth (PD), bleeding index (BI), and clinical attachment loss (CAL), of the six Ramfjord index teeth were significantly higher in the AA group than those in the control group (P < 0.01). Eight periodontal pathogens in subgingival plaque samples were more frequently detected in the AA group than in control group. The difference in prevalence between the groups was significant for six (out of eight) periodontal pathogens assayed (Pg, Pi, Fn, Pn, Tf, and Td, P < 0.01). Additionally, all eight periodontal pathogens were more frequently detected in saliva samples of the AA group than in those of the control group, again with six (out of eight) (Pg, Pi, Fn, Cr, Tf, and Td) displaying significant differences in prevalence between the two groups (P < 0.01). Out of 26 aneurysm samples examined, Pg, Pi, Fn, Cr and Tf were detected in 6 (23.1%), 2 (7.7%), 3 (11.5%), 1 (3.8%), 2 (7.7%), respectively, and Aa, Pn, and Td were not detected in dissected aneurysm samples.

CONCLUSIONResults of this study suggested that periodontal infection is associated with the occurrence of AA.

Aged ; Aggregatibacter actinomycetemcomitans ; genetics ; pathogenicity ; Aortic Aneurysm ; microbiology ; Female ; Humans ; Male ; Middle Aged ; Periodontitis ; microbiology ; Porphyromonas gingivalis ; genetics ; pathogenicity ; Prevotella intermedia ; genetics ; pathogenicity ; RNA, Ribosomal, 16S ; genetics ; Treponema denticola ; genetics ; pathogenicity

Animals ; Cardiovascular Diseases ; etiology ; metabolism ; Humans ; Inflammation ; metabolism ; Periodontitis ; complications ; metabolism ; microbiology ; Platelet Aggregation ; physiology ; Porphyromonas gingivalis ; pathogenicity ; RNA, Messenger ; metabolism ; Receptor, PAR-1 ; metabolism ; Receptor, PAR-2 ; genetics ; metabolism ; Receptors, Proteinase-Activated ; metabolism ; Receptors, Thrombin ; metabolism

OBJECTIVETo construct the recombinant plasmid pPHU281_A_Spec_B, which knock out Porphyrmonas gingivalis (Pg) FimA gene.

METHODSGenomic DNA was extracted from PgATCC33277 which was cultured in anaerobic condition. The upstream and downstream gene of FimA was cloned from Pg genenomic DNA with specific restriction sites by polymerase chain reaction. Suicide vector pPHU281 was inserted by three fragments: upstream, downstream of FimA gene and spectinomycin resistance gene. The recombinant plasmid was confirmed by electrophoresis and sequenced after amplification in compentent cells DH-5α.

RESULTSThe gene sequence was identified by DNA sequencing analysis. The recombinant plasmid pPHU281_A_Spec_B was successfully constructed.

CONCLUSIONSThe recombinant plasmid pPHU281_A_Spec_B was constructed, which may be used for the constructon of FimA deficient Pg.

Base Sequence ; DNA, Bacterial ; genetics ; Fimbriae Proteins ; genetics ; Gene Knockout Techniques ; Genes, Bacterial ; Genetic Vectors ; Plasmids ; genetics ; Porphyromonas gingivalis ; genetics ; Recombinant Proteins ; genetics ; Sequence Analysis, DNA