Biomarker panels may distinguish between periodontal health and disease states: study

Results of the study are:

• Ninety-five proteins were identified in both GCF and saliva samples, and 15 candidate proteins were selected based upon differences discovered between the donor groups.
• The best performing panels to distinguish between: health or gingivitis and periodontitis contained matrix metalloproteinase-9 (MMP9), S100A8, alpha-1-acid glycoprotein (A1AGP), pyruvate kinase, and age (area under the curve [AUC] 0.970); health and gingivitis contained MMP9, S100A8, A1AGP, and pyruvate kinase, but not age (AUC 0.768); and mild to moderate and advanced periodontitis contained MMP9, S100A8, A1AGP, pyruvate kinase, and age (AUC 0.789).

Thus, biomarker panels containing four proteins with and without age as a further parameter can distinguish between periodontal health and disease states.

Reference:

Grant, M. M., Taylor, J. J., Jaedicke, K., Creese, A., Gowland, C., Burke, B., Doudin, K., Patel, U., Weston, P., Milward, M., Bissett, S. M., Cooper, H. J., Kooijman, G., Rmaile, A., de Jager, M., Preshaw, P. M., & Chapple, I. L. C. (2022). Discovery, validation, and diagnostic ability of multiple protein-based biomarkers in saliva and gingival crevicular fluid to distinguish between health and periodontal diseases. Journal of Clinical Periodontology, 49( 7), 622– 632. https://doi.org/10.1111/jcpe.13630