Validation and verification of predictive salivary biomarkers for oral health
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14160%2F21%3A00121412" target="_blank" >RIV/00216224:14160/21:00121412 - isvavai.cz</a>
Result on the web
<a href="https://www.nature.com/articles/s41598-021-85120-w" target="_blank" >https://www.nature.com/articles/s41598-021-85120-w</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41598-021-85120-w" target="_blank" >10.1038/s41598-021-85120-w</a>
Alternative languages
Result language
angličtina
Original language name
Validation and verification of predictive salivary biomarkers for oral health
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30104 - Pharmacology and pharmacy
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Nature Scientific Reports
ISSN
2045-2322
e-ISSN
2045-2322
Volume of the periodical
11
Issue of the periodical within the volume
1
Country of publishing house
DE - GERMANY
Number of pages
12
Pages from-to
1-12
UT code for WoS article
000632046500002
EID of the result in the Scopus database
2-s2.0-85102868488