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Salivary Biomarkers for Dental Caries Detection and Personalized Monitoring
- Paque, PN (author)
- Herz, C (author)
- Wiedemeier, DB (author)
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- Mitsakakis, K (author)
- Attin, T (author)
- Hays, JP (author)
- Jenzer, JS (author)
- Kaman, WE (author)
- Karpisek, M (author)
- Korner, P (author)
- Peham, JR (author)
- Schmidlin, PR (author)
- Thurnheer, T (author)
- Wegehaupt, FJ (author)
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- (creator_code:org_t)
- 2021-03-23
- 2021
- English.
- In: Journal of personalized medicine. - : MDPI AG. - 2075-4426. ; 11:3
- Journal article (peer-reviewed)
Abstract
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- 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.
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- Paque, PN
- Herz, C
- Wiedemeier, DB
- Mitsakakis, K
- Attin, T
- Bao, K
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- Belibasakis, GN
- Hays, JP
- Jenzer, JS
- Kaman, WE
- Karpisek, M
- Korner, P
- Peham, JR
- Schmidlin, PR
- Thurnheer, T
- Wegehaupt, FJ
- Bostanci, N
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- Karolinska Institutet
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