Association Between Oral Microbiome Diversity And Cardiometabolic Disease.

This study aimed to explore the association between oral microbiome diversity and CMD by analyzing data from the 2009-2012 National Health and Nutrition Examination Survey (NHANES). The study conducted a cross-sectional study which included 9,347 participants with available CMD and oral microbiome data. CMD was defined as a self-reported doctor diagnosis of one or more cardiovascular diseases or metabolic disease (diabetes, obesity, hypercholesterolemia). Oral microbiome diversity (alpha and beta diversity) was determined by using 16S rRNA sequencing. Weighted logistic regression was used to analyze their relationships adjusting for age, gender, race, education, marriage, smoking, depression, kidney disease, asthma, periodontitis. To determine the effect of confounders on their relationships, we performed subgroup analyses. Compared to non-CMD individuals, participants with CMD exhibited significantly reduced oral microbiome alpha diversity (p< 0.05). In the fully adjusted weighted logistic regression model, the Z-scores of alpha diversity and CMD showed negative relationships (OR =0.83; 95% CI: 0.78-0.89, p<0.001). The negative relationships persisted when alpha diversity were categorized into four categories according to quartiles. This effect was evident in all subgroups considered. Beta diversity analysis revealed a statistically significant difference in microbial community composition between CMD individuals and non-CMD individuals (p<0.001). This study identifies a significant negatively association between oral microbiome diversity and CMD. The findings suggest that oral microbiome diversity is a valuable marker of CMD and that it may provide additional insights into CMD.