Population Proteomics: A Tool to Gain Insights Into the Inflamed Periodontium.

Periodontitis, characterized by inflammatory loss of tooth-supporting tissues associated with biofilm, is among the most prevalent chronic diseases globally, affecting approximately 50% of the adult population to a moderate extent and cases of severe periodontitis surpassing the one billion mark. Proteomics analyses of blood, serum, and oral fluids have provided valuable insights into the complex processes occurring in the inflamed periodontium. However, until now, proteome analyses have been primarily limited to small groups of diseased versus healthy individuals.

Causal Effect of Smoking and Cessation on Tooth Loss.

Aim: To estimate the causal effects of smoking and cessation on tooth loss using instrumental variable (IV) analysis.

Material And Methods: Data from the Behavioural Risk Factor Surveillance System (BRFSS), conducted from 1995 to 2006, 2008, 2010, and 2012 in 50 U.S.

Using genetics to explore complement C5 as a druggable protein in periodontitis.

Aim: An excessively activated or dysregulated complement system has been proven to be a vital contributor to the pathogenesis of periodontitis. It has been previously hypothesized that inhibiting the activity of complement component C5 by targeting the C5a receptor is a powerful candidate for treating periodontitis. Here, we apply the drug target instrumental variable (IV) approach to investigate the therapeutic effect of genetically proxied inhibition of C5 on periodontitis.

Periodontitis adversely affects lipoprotein subfractions - results from the cohort study SHIP-TREND: Periodontitis adversely affects lipoprotein subfractions.

Aim: We aimed to investigate the medium-term associations of periodontitis and the number of missing teeth with serum lipoproteins and their plasma subfractions using follow-up data from the population-based Study of Health in Pomerania (SHIP-TREND).

Methods: A total of 2,058 participants with 7-year follow-up data underwent periodontal examinations, serum lipid panel tests, and proton nuclear magnetic resonance (H-NMR) spectroscopy of plasma lipoproteins and their subfractions. Generalized models with gamma distribution and loglink were used to analyze associations between periodontal variables and lipoproteins and their subfractions, adjusting for confounders using propensity score weighting.