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Identiﬁcation of Microbial and Proteomic Biomarkers in Early Childhood Caries
journal contributionposted on 2012-08-21, 00:00 authored by Thomas C. Hart, Patricia M. Corby, Milos Hauskrech, Ok Hee Ryu, Richard Pelikan, Michal Valko, Maria B. Oliveira, Gerald T. Hoehn, Walter A. Bretz
The purpose of this study was to provide a univariate and multivariate analysis of genomic microbial data and salivary massspectrometry proteomic proﬁles for dental caries outcomes. In order to determine potential useful biomarkers for dental caries, a multivariate classiﬁcation analysis was employed to build predictive models capable of classifying microbial and salivary sample proﬁles with generalization performance. We used high-throughput methodologies including multiplexed microbial arrays and SELDI-TOF-MS proﬁling to characterize the oral ﬂora and salivary proteome in 204 children aged 1–8 years (n = 118 cariesfree, n = 86 caries-active). The population received little dental care and was deemed at high risk for childhood caries. Findings of the study indicate that models incorporating both microbial and proteomic data are superior to models of only microbial or salivary data alone. Comparison of results for the combined and independent data suggests that the combination of proteomic and microbial sources is beneﬁcial for the classiﬁcation accuracy and that combined data lead to improved predictive models for caries-active and caries-free patients. The best predictive model had a 6% test error, >92% sensitivity, and >95% speciﬁcity. These ﬁndings suggest that further characterization of the oral microﬂora and the salivary proteome associated with health and caries may provide clinically useful biomarkers to better predict future caries experience.
The authors acknowledge support from the Intramural Program of the NIDCR, National Institutes of Health, Bethesda, MD 20892, USA, and from NIDCR Grant no. DE15315
Publisher StatementCopyright © 2011 Thomas C. Hart et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. DOI:10.1155/2011/196721
PublisherHindawi Publishing Corporation