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. 2015 Apr 7:7:27429.
doi: 10.3402/jom.v7.27429. eCollection 2015.

Differentiation of salivary bacterial profiles of subjects with periodontitis and dental caries

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Differentiation of salivary bacterial profiles of subjects with periodontitis and dental caries

Daniel Belstrøm et al. J Oral Microbiol. .

Abstract

Bacterial profiles of saliva in subjects with periodontitis and dental caries have been demonstrated to differ from that of oral health. The aim of this comparative analysis of existing data generated by the Human Oral Microbe Identification Microarray (HOMIM) from 293 stimulated saliva samples was to compare bacterial profiles of saliva in subjects with periodontitis and dental caries.

Keywords: HOMIM; bacteria; dental caries; periodontitis; saliva.

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Figures

Fig. 1
Fig. 1
Probe targets identified to be present with different frequency in saliva samples from subjects with periodontitis and dental caries. Taxa and clusters identified at significantly different frequencies in samples from periodontitis and caries subjects. Binary values (presence/absence) of each probe target were compared between the periodontitis group and the caries group. The presence of each target as % of total samples is displayed. White bars: periodontitis group. Black bars: dental caries group. *: adjusted p-value<0.01, *: adjusted p-value<0.001, ***: adjusted p-value<1.0×10−5, ****: adjusted p-value<1.0×10−9.
Fig. 2
Fig. 2
Probe targets observed at different levels in saliva samples from subjects with periodontitis and dental caries. Taxa and clusters identified at significantly different levels (mean Human Oral Microbe Identification Microarray [HOMIM] value) in samples from subjects with periodontitis and subjects with dental caries. Mean HOMIM value of each taxon/cluster was compared between the periodontitis group and the caries group. The mean level of each target is displayed. White bars: periodontitis group. Black bars: dental caries group. *: adjusted p-value<0.01, **: adjusted p-value<0.001, ***: adjusted p-value<1.0×10−5, ****: adjusted p-value<1.0×10−8.
Fig. 3
Fig. 3
Principal component analysis. Principal component analysis was used for exploration of mathematical patterns, as mean HOMIM values (level) from each probe, were used as parameters for investigation.

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