IADR Abstract Archives
Blood Metabolomic Profiles and Subgingival Bacterial Composition
Objectives: Blood metabolites related to subgingival microbiota can offer valuable insights on the impact of lifestyle and dietary factors on periodontal health. Our objective was to identify circulating metabolites associated with subgingival microbiota.
Methods: Thirty-nine periodontally healthy subjects (pocket depth ≤3mm, bleeding on probing <10%) were enrolled. A comprehensive periodontal examination was performed. Blood and subgingival plaque samples were collected. Metabolites in serum were quantified using untargeted metabolomic profiling. Plaque samples were analyzed for bacterial identification using 16S rDNA sequencing.
Results: 441 OTUs belonging to 9 principal phyla and 1128 metabolites were detected in all subjects. Bootstrap forest partitioning was used to select the top 40 metabolites. Principal component analysis was used to consolidate these selected metabolites into 6 factors. Multivariable ordinal regression models examined the association between tertiles of bacterial phyla relative abundance and rank-transformed metabolite factor scores while adjusting for age, sex, race and plaque index. After FDR adjustments, only factor-2 scores showed significant associations with 4 phyla, namely Firmicutes, Fusobacteria, Saccharibacteria and Spirochaetes. An increase in factor-2 scores was associated with an increase in relative abundance of Firmicutes (LR χ2(1) = 7.75, p <0.01); and a decrease in relative abundance of Fusobacteria (LR χ2(1) = 8.03, p <0.01), Saccharibacteria (LR χ2(1) = 7.21, p <0.01) and Spirochaetes (LR χ2(1) = 8.76, p <0.01). Follow-up stepwise regression analyses identified individual metabolites within factor-2 that associated with specific phyla: 1-oleoyl-GPG, 1-linoleoyl-GPG, hexadecadienoate and palmitoyl-sphingosine-phosphoethanolamine associated with Bacteriodetes; phytanate, glycocholenate sulfate associated with Firmicutes; guanosine, 1-oleoyl-GPG associated with Fusobacteria; glycocholenate sulfate associated with Proteobacteria; and hexadecadienoate, palmitoyl-sphingosine-phosphoethanolamine associated with Spirochaetes.
Conclusions: Our data suggest that circulating blood metabolites, in particular long chain fatty acids and guanine containing nucleotides, are associated with subgingival bacterial composition and may serve as potential biomarkers for periodontal status.
Methods: Thirty-nine periodontally healthy subjects (pocket depth ≤3mm, bleeding on probing <10%) were enrolled. A comprehensive periodontal examination was performed. Blood and subgingival plaque samples were collected. Metabolites in serum were quantified using untargeted metabolomic profiling. Plaque samples were analyzed for bacterial identification using 16S rDNA sequencing.
Results: 441 OTUs belonging to 9 principal phyla and 1128 metabolites were detected in all subjects. Bootstrap forest partitioning was used to select the top 40 metabolites. Principal component analysis was used to consolidate these selected metabolites into 6 factors. Multivariable ordinal regression models examined the association between tertiles of bacterial phyla relative abundance and rank-transformed metabolite factor scores while adjusting for age, sex, race and plaque index. After FDR adjustments, only factor-2 scores showed significant associations with 4 phyla, namely Firmicutes, Fusobacteria, Saccharibacteria and Spirochaetes. An increase in factor-2 scores was associated with an increase in relative abundance of Firmicutes (LR χ2(1) = 7.75, p <0.01); and a decrease in relative abundance of Fusobacteria (LR χ2(1) = 8.03, p <0.01), Saccharibacteria (LR χ2(1) = 7.21, p <0.01) and Spirochaetes (LR χ2(1) = 8.76, p <0.01). Follow-up stepwise regression analyses identified individual metabolites within factor-2 that associated with specific phyla: 1-oleoyl-GPG, 1-linoleoyl-GPG, hexadecadienoate and palmitoyl-sphingosine-phosphoethanolamine associated with Bacteriodetes; phytanate, glycocholenate sulfate associated with Firmicutes; guanosine, 1-oleoyl-GPG associated with Fusobacteria; glycocholenate sulfate associated with Proteobacteria; and hexadecadienoate, palmitoyl-sphingosine-phosphoethanolamine associated with Spirochaetes.
Conclusions: Our data suggest that circulating blood metabolites, in particular long chain fatty acids and guanine containing nucleotides, are associated with subgingival bacterial composition and may serve as potential biomarkers for periodontal status.