Short Communication
Charanjit Singh Saimbi, M P Si
Abstract
Periodontitis is a chronic, inflammatory disease. It may be value for understanding the path physiology of the disease by metabolic profile of saliva samples using high resolution NMR spectroscopy. It has been employed in 114 saliva samples in search of distinctive difference and spectral data were further subjected to multi variate analysis and one hundreds metabolites were characterized and assigned in 11 NMR spectral of saliva. The statistical analysis of control and disease using PLS-DA model resulting in R2 of 0.84 and Q2 of 0.79. There was an elevation in the concentration of statistically discriminate metabolites. The twenty newly identified metabolites in saliva indicate bacterial population shift along with change in homeostasis. These disturbances the biofilm, a real protector against any possible biodamage on tooth surface. These newly identified metabolites could define better geographically diversified periodontal condition. Some of the newly identified metabolites along with the pool of metabolite may serve as biomarker for distinguishing the severity and complexity of periodontitis.