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Issue 1098 coverOral-Based Diagnostics Volume 1098 published March 2007
Ann. N.Y. Acad. Sci. 1098: 204–215 (2007). doi: 10.1196/annals.1384.009
Copyright © 2007 by the New York Academy of Sciences
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Articles by DENNY, P. C
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Part IV. Oral Samples/Oral Diseases

A Novel Caries Risk Test

PAUL C DENNYab, PATRICIA A DENNYa,b, JONA TAKASHIMAa, JOYCE GALLIGANa AND MAHVASH NAVAZESHa,b

a School of Dentistry, University of Southern California, Los Angeles, California, USA b Proactive Oral Solutions, Inc., Los Alamitos, California, USA

Key Words: saliva • dental caries risk test • prediction • children • lectins • oligosaccharides • glycoproteins • mucin • caries history • DFT • tooth groups

Address for correspondence: Dr. Paul Denny, School of Dentistry, Rm. 4114A, University of Southern California, 925 W. 34th St., Los Angeles, CA 90089-0641. Voice: 213-740-1406; fax: 213-740-1402.  pdenny{at}usc.edu

A diagnostic test is particularly beneficial if it reveals the level of susceptibility prior to onset of a disease process. In the case of childhood caries, such a diagnostic test affords the opportunity for preventive measures to be implemented before caries begins. Salivary glycoproteins contain a wealth of individually specific oligosaccharide motifs. Depending on microbial compatibilities and individual genotypes, the glycoproteins that form the pellicle coating of teeth may provide attachment sites that foster colonization leading to cariogenesis. Alternatively, certain oligosaccharides, when present in nonpellicle glycoproteins, can interact with planktonic bacteria and lower their ability to interact with the tooth surface. We have found that in young adults the ratio of the two classes of oligosaccharides present in resting saliva exhibits a strong correlation with caries history (DFT: number of decayed and filled teeth). Oligosaccharide moieties associated with the test are quantitated in dried spots of whole saliva on nitrocellulose using commercially available biotinylated lectins with a variety of reporters. A combination of multiple linear regression and neural net analyses were used to develop the algorithms that describe the relationship between oligosaccharide patterns and DFT. During test development several different groups of adults and children have been studied. The correlation algorithms routinely exceed an R2 (coefficient of determination) of 0.96. When the test is applied to the saliva of children, it yields a projection of their future caries history. Modifying the test result metric to reflect the groups of teeth with caries in young adults, the test identifies those teeth at risk for future caries in children. This test outcome can then be accompanied with suggested specific preventive measures for each tooth group–based risk level.






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