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Salivary Biomarkers...
Salivary Biomarkers for Dental Caries Detection and Personalized Monitoring
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Paque, PN (författare)
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Herz, C (författare)
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Wiedemeier, DB (författare)
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visa fler...
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Mitsakakis, K (författare)
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Attin, T (författare)
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- Bao, K (författare)
- Karolinska Institutet
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- Belibasakis, GN (författare)
- Karolinska Institutet
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Hays, JP (författare)
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Jenzer, JS (författare)
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Kaman, WE (författare)
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Karpisek, M (författare)
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Korner, P (författare)
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Peham, JR (författare)
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Schmidlin, PR (författare)
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Thurnheer, T (författare)
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Wegehaupt, FJ (författare)
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- Bostanci, N (författare)
- Karolinska Institutet
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(creator_code:org_t)
- 2021-03-23
- 2021
- Engelska.
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Ingår i: Journal of personalized medicine. - : MDPI AG. - 2075-4426. ; 11:3
- Relaterad länk:
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https://www.mdpi.com...
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http://kipublication...
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https://doi.org/10.3...
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Abstract
Ämnesord
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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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Till lärosätets databas
- Av författaren/redakt...
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Paque, PN
-
Herz, C
-
Wiedemeier, DB
-
Mitsakakis, K
-
Attin, T
-
Bao, K
-
visa fler...
-
Belibasakis, GN
-
Hays, JP
-
Jenzer, JS
-
Kaman, WE
-
Karpisek, M
-
Korner, P
-
Peham, JR
-
Schmidlin, PR
-
Thurnheer, T
-
Wegehaupt, FJ
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Bostanci, N
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visa färre...
- Artiklar i publikationen
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Journal of perso ...
- Av lärosätet
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Karolinska Institutet