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@article{1760578,
author = {Bostanci, N. and Mitsakakis, K. and Afacan, B. and Bao, K. and Johannsen, B. and Baumgartner, D. and Muller, L. and Kotolová, Hana and Emingil, G. and Karpíšek, Michal},
article_location = {London},
article_number = {1},
doi = {http://dx.doi.org/10.1038/s41598-021-85120-w},
keywords = {Validation; verification; predictive salivary; biomarker; oral health},
language = {eng},
issn = {2045-2322},
journal = {Nature Scientific Reports},
title = {Validation and verification of predictive salivary biomarkers for oral health},
url = {https://www.nature.com/articles/s41598-021-85120-w},
volume = {11},
year = {2021}
}
TY - JOUR
ID - 1760578
AU - Bostanci, N. - Mitsakakis, K. - Afacan, B. - Bao, K. - Johannsen, B. - Baumgartner, D. - Muller, L. - Kotolová, Hana - Emingil, G. - Karpíšek, Michal
PY - 2021
TI - Validation and verification of predictive salivary biomarkers for oral health
JF - Nature Scientific Reports
VL - 11
IS - 1
SP - 1-12
EP - 1-12
PB - NATURE RESEARCH
SN - 20452322
KW - Validation
KW - verification
KW - predictive salivary
KW - biomarker
KW - oral health
UR - https://www.nature.com/articles/s41598-021-85120-w
N2 - Oral health is important not only due to the diseases emerging in the oral cavity but also due to the direct relation to systemic health. Thus, early and accurate characterization of the oral health status is of utmost importance. There are several salivary biomarkers as candidates for gingivitis and periodontitis, which are major oral health threats, affecting the gums. These need to be verified and validated for their potential use as differentiators of health, gingivitis and periodontitis status, before they are translated to chair-side for diagnostics and personalized monitoring. We aimed to measure 10 candidates using high sensitivity ELISAs in a well-controlled cohort of 127 individuals from three groups: periodontitis (60), gingivitis (31) and healthy (36). The statistical approaches included univariate statistical tests, receiver operating characteristic curves (ROC) with the corresponding Area Under the Curve (AUC) and Classification and Regression Tree (CART) analysis. The main outcomes were that the combination of multiple biomarker assays, rather than the use of single ones, can offer a predictive accuracy of > 90% for gingivitis versus health groups; and 100% for periodontitis versus health and periodontitis versus gingivitis groups. Furthermore, ratios of biomarkers MMP-8, MMP-9 and TIMP-1 were also proven to be powerful differentiating values compared to the single biomarkers.
ER -
BOSTANCI, N., K. MITSAKAKIS, B. AFACAN, K. BAO, B. JOHANNSEN, D. BAUMGARTNER, L. MULLER, Hana KOTOLOVÁ, G. EMINGIL and Michal KARPÍŠEK. Validation and verification of predictive salivary biomarkers for oral health. \textit{Nature Scientific Reports}. London: NATURE RESEARCH, 2021, vol.~11, No~1, p.~1-12. ISSN~2045-2322. Available from: https://dx.doi.org/10.1038/s41598-021-85120-w.
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