Table 1.
Descriptive statistics on age and gender of patients.
Fig 1.
Microbiome structure of the 56 oral samples. Only the relative abundance of the 35 more abundant species are plotted, the rest are named “other”.
Fig 2.
Heat map of the core microbiome in health.
The healthy core microbiome is displayed by a heat map that identifies Fusobacteria unclassified, Veillonella dispar, Streptococcus spp., Haemophilus parainfluenzae, Campylobacter gracilis, Neisseria unclassified, Capnocytophaga leadbetteri, Corynebacteriuim matruchotii, Prevotella melaninogenica, and Prevotella oris as the ten most prevalent species.
Fig 3.
Similarity of microbiome composition.
Scatter plot of the Principal Coordinates Analysis (PCoA) using the Morisita-Horn dissimilarity index.
Fig 4.
Similarity of microbiome composition.
Boxplots of Morisita-Horn distances.
Fig 5.
Boxplot of the non-parametric Shannon index evaluating the effect of group assignment on microbial diversity.
Fig 6.
Boxplot of the Berger-Parker index evaluating the effect of group assignment on microbial dominance.
Fig 7.
Differences in microbiome composition.
Log2FoldChange bar charts of linear discriminant analysis effect size (LEfSe) using the distinctive parameter “class” to test for OUT differences.
Table 2.
Descriptive statistics.
Table 3.
Correlation network analysis.