The Varied Proportion of in Periodontal Health and Disease in the South Indian Subpopulation.

Background And Aim: The periodontal microbiome being complex, this study was aimed to detect and quantify the prevalence of in various stages of periodontitis and to evaluate its prospect as a diagnostic marker for periodontal disease.

Settings And Design: Sixty subjects were selected (20 healthy controls, 20 with chronic periodontitis, and 20 with aggressive periodontitis) for the study.

Materials And Methods: Clinical parameters probing depth and the level of clinical attachment was recorded, subgingival plaque samples were collected. The 16srDNA was cloned, sequenced, and used as the standard for real-time quantification of bacterial load using SYBR green chemistry.

Statistical Analysis: Clinical, microbiological, and quantitative polymerase chain reaction (PCR) data were analyzed using ANOVA and Pearson's coefficient correlation.

Results: (a) Real-time PCR analysis showed the highest average count in chronic periodontitis subjects (32,409.85), which was followed by count in healthy controls (3046.15) and the least count in aggressive periodontitis subjects (939.84). The bacterial count was statistically significant at = 0.005. (b) An intra-group comparison reveals that there was a statistically significant increase in the bacterial count with age and mean probing pocket depth at = 0.0005.

Conclusion: population in aggressive periodontitis was lower compared to chronic periodontitis and healthy controls. The population surge in healthy controls may be due to geographical variations and the ethnicity of the subjects. A higher population of in chronic periodontitis proves its high pathogenic potential to invade the host tissues to aid in further periodontal destruction.