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Salivary Biomarkers for Dental Caries Detection and Personalized Monitoring
PN. Paqué, C. Herz, DB. Wiedemeier, K. Mitsakakis, T. Attin, K. Bao, GN. Belibasakis, JP. Hays, JS. Jenzer, WE. Kaman, M. Karpíšek, P. Körner, JR. Peham, PR. Schmidlin, T. Thurnheer, FJ. Wegehaupt, N. Bostanci
Jazyk angličtina Země Švýcarsko
Typ dokumentu časopisecké články
Grantová podpora
633780
Horizon 2020 Framework Programme
NLK
Free Medical Journals
od 2011
PubMed Central
od 2011
Europe PubMed Central
od 2011
ProQuest Central
od 2011-01-01
Open Access Digital Library
od 2011-01-01
Open Access Digital Library
od 2011-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2011
PubMed
33806927
DOI
10.3390/jpm11030235
Knihovny.cz E-zdroje
- Publikační typ
- časopisecké články MeSH
This study investigated the potential of salivary bacterial and protein markers for evaluating the disease status in healthy individuals or patients with gingivitis or caries. Saliva samples from caries- and gingivitis-free individuals (n = 18), patients with gingivitis (n = 17), or patients with deep caries lesions (n = 38) were collected and analyzed for 44 candidate biomarkers (cytokines, chemokines, growth factors, matrix metalloproteinases, a metallopeptidase inhibitor, proteolytic enzymes, and selected oral bacteria). The resulting data were subjected to principal component analysis and used as a training set for random forest (RF) modeling. This computational analysis revealed four biomarkers (IL-4, IL-13, IL-2-RA, and eotaxin/CCL11) to be of high importance for the correct depiction of caries in 37 of 38 patients. The RF model was then used to classify 10 subjects (five caries-/gingivitis-free and five with caries), who were followed over a period of six months. The results were compared to the clinical assessments of dental specialists, revealing a high correlation between the RF prediction and the clinical classification. Due to the superior sensitivity of the RF model, there was a divergence in the prediction of two caries and four caries-/gingivitis-free subjects. These findings suggest IL-4, IL-13, IL-2-RA, and eotaxin/CCL11 as potential salivary biomarkers for identifying noninvasive caries. Furthermore, we suggest a potential association between JAK/STAT signaling and dental caries onset and progression.
Austrian Institute of Technology Molecular Diagnostics Giefinggasse 4 1210 Wien Austria
Department of Dental Medicine Division of Oral Diseases Karolinska Institutet 141 04 Huddinge Sweden
Hahn Schickard Georges Koehler Allee 103 79110 Freiburg Germany
Citace poskytuje Crossref.org
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