Literature DB >> 17435130

A novel caries risk test.

Paul C Denny1, Patricia A Denny, Jona Takashima, Joyce Galligan, Mahvash Navazesh.   

Abstract

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 R(2) (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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Year:  2007        PMID: 17435130     DOI: 10.1196/annals.1384.009

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  3 in total

1.  The complexity of oral physiology and its impact on salivary diagnostics.

Authors:  E J Helmerhorst; C Dawes; F G Oppenheim
Journal:  Oral Dis       Date:  2017-10-25       Impact factor: 3.511

Review 2.  The scientific exploration of saliva in the post-proteomic era: from database back to basic function.

Authors:  Stefan Ruhl
Journal:  Expert Rev Proteomics       Date:  2012       Impact factor: 3.940

3.  Glycoprofiling of the Human Salivary Proteome.

Authors:  Melissa Sondej; Patricia A Denny; Yongming Xie; Prasanna Ramachandran; Yan Si; Jona Takashima; Wenyuan Shi; David T Wong; Joseph A Loo; Paul C Denny
Journal:  Clin Proteomics       Date:  2009-03-01       Impact factor: 3.988

  3 in total

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