Dysbiosis and Alterations in Predicted Functions of the Subgingival Microbiome in Chronic Periodontitis

• Published in: Applied and Environmental Microbiology Vol. 81; no. 2; pp. 783 - 793
• Main Authors: Kirst, Mariana E., Li, Eric C., Alfant, Barnett, Chi, Yueh-Yun, Walker, Clay, Magnusson, Ingvar, Wang, Gary P.
• Format: Journal Article
• Language: English
• Published: United States American Society for Microbiology 01.01.2015
• Subjects: Amino acids; Bacteria; Biosynthesis; Biota; Chronic Periodontitis - microbiology; Chronic Periodontitis - pathology; Cluster Analysis; Community structure; DNA, Bacterial - chemistry; DNA, Bacterial - genetics; DNA, Ribosomal - chemistry; DNA, Ribosomal - genetics; Dysbiosis - microbiology; Fusobacterium; Genes; Heterogeneity; Humans; Microbial activity; Microbial Ecology; Microbiology; Molecular Sequence Data; Periodontal diseases; Phylogeny; Porphyromonas; Ribonucleic acid; RNA; RNA, Ribosomal, 16S - genetics; Sequence Analysis, DNA; Streptococcus; United States; United States; United States > US
• ISSN: 0099-2240; 1098-5336; 1098-5336; 1098-6596
• DOI: 10.1128/AEM.02712-14

Chronic periodontitis is an inflammatory disease of the periodontium affecting nearly 65 million adults in the United States. Changes in subgingival microbiota have long been associated with chronic periodontitis. Recent culture-independent molecular studies have revealed the immense richness and complexity of oral microbial communities. However, data sets across studies have not been directly compared, and whether the observed microbial variations are consistent across different studies is not known. Here, we used 16S rRNA sequencing to survey the subgingival microbiota in 25 subjects with chronic periodontal disease and 25 healthy controls and compared our data sets with those of three previously reported microbiome studies. Consistent with data from previous studies, our results demonstrate a significantly altered microbial community structure with decreased heterogeneity in periodontal disease. Comparison with data from three previously reported studies revealed that subgingival microbiota clustered by study. However, differences between periodontal health and disease were larger than the technical variations across studies. Using a prediction score and applying five different distance metrics, we observed two predominant clusters. One cluster was driven by Fusobacterium and Porphyromonas and was associated with clinically apparent periodontitis, and the second cluster was dominated by Rothia and Streptococcus in the majority of healthy sites. The predicted functional capabilities of the periodontitis microbiome were significantly altered. Genes involved in bacterial motility, energy metabolism, and lipopolysaccharide biosynthesis were overrepresented in periodontal disease, whereas genes associated with transporters, the phosphotransferase system, transcription factors, amino acid biosynthesis, and glycolysis/gluconeogenesis were enriched in healthy controls. These results demonstrate significant alterations in microbial composition and function in periodontitis and suggest genes and metabolic pathways associated with periodontal disease.