University of Illinois at Chicago
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Identification of Microbial and Proteomic Biomarkers in Early Childhood Caries

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journal contribution
posted 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 Statement

Copyright © 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


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