Abstract
Background
In the context of precision medicine, understanding patient‐specific variation is an important step in developing targeted and patient‐tailored treatment regimens for periodontitis. While several studies have successfully demonstrated the usefulness of molecular expression profiling in conjunction with single classifier systems in discerning distinct disease groups, the majority of these studies do not provide sufficient insights into potential variations within the disease groups.
Aim
The goal of this study was to discern biological response profiles of periodontitis and non‐periodontitis smoking subjects using an informed panel of biomarkers across multiple scales (salivary, oral microbiome, pathogens and other markers).
Material & Methods
The investigation uses a novel ensemble classification approach (SVA‐SVM) to differentiate disease groups and patient‐specific biological variation of systemic inflammatory mediators and IgG antibody to oral commensal and pathogenic bacteria within the groups.
Results
Sensitivity of SVA‐SVM is shown to be considerably higher than several traditional independent classifier systems. Patient‐specific networks generated from SVA‐SVM are also shown to reveal crosstalk between biomarkers in discerning the disease groups. High‐confidence classifiers in these network abstractions comprised of host responses to microbial infection elucidated their critical role in discerning the disease groups.
Conclusions
Host adaptive immune responses to the oral colonization/infection contribute significantly to creating the profiles specific for periodontitis patients with potential to assist in defining patient‐specific risk profiles and tailored interventions.
Document Type
Article
Publication Date
3-2017
Digital Object Identifier (DOI)
https://doi.org/10.1111/jcpe.12659
Funding Information
This work was supported by USPHS grants P20RR020145, P20GM103538, and UL1TR000117 from the National Institutes of Health.
Repository Citation
Nagarajan, Radhakrishnan; Al-Sabbagh, Mohanad; Dawson, Dolph III; and Ebersole, Jeffrey L., "Integrated Biomarker Profiling of Smokers with Periodontitis" (2017). Institute for Biomedical Informatics Faculty Publications. 11.
https://uknowledge.uky.edu/bmi_facpub/11
Notes/Citation Information
Published in Journal of Clinical Periodontology, v. 44, issue 3, p. 238-246.
© 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd
The copyright holder has granted the permission for posting the article here.
This is the peer reviewed version of the following article: Nagarajan, R., Al-Sabbagh, M., Dawson, D., III, & Ebersole, J. L. (2016). Integrated biomarker profiling of smokers with periodontitis. Journal of Clinical Periodontology, 44(3), 238-246, which has been published in final form at https://doi.org/10.1111/jcpe.12659. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.