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Salivary immunoglobulin levels and periodontal indices in Brazilian children with and without type 1 diabetes.

Thyciana Rodrigues RibeiroSara Maria SilvaRenata Asfor Rocha Carvalho MartinsCláudia Ferreira SantosPaulo Goberlânio de Barros SilvaAdriana Costa E FortiFábio Wildson Gurgel CostaManassés Claudino FontelesCristiane Sá Roriz Fonteles
Published in: Brazilian oral research (2024)
This cross-sectional study evaluated the association between salivary immunoglobulins, plaque index, and gingival index in Brazilian children with and without type 1 diabetes mellitus (DM1). The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist for the reporting of observational studies was followed. The DM1 group had 38 children, and an equal number of volunteers matched by sex and age were recruited as controls. Clinical examination was performed for plaque index and gingival index determination. Non-stimulated whole saliva was collected. Concentrations of IgA, IgG, and IgM were determined by ELISA test. Data were tested by the Kolmogorov-Smirnov, Mann-Whitney, and Spearman tests and a multiple linear regression model (p<0.05) was performed. Gingival index was higher in the Control (DM1: 0.16±0.17; Control: 0.24±0.23, p=0.040). In DM1, there was a correlation between IgA and age (rho=0.371, p=0.024), IgM and IgG (rho=0.459, p=0.007), and IgM and gingival index (rho=0.394, p=0.014). In DM1, multiple linear regression showed that age (p=0.041; β=0.363), gingival index (p=0.041; β=0.398), and plaque index (p=0.008; β=-0.506) were good predictors of IgA levels in saliva. Thus, IgA was the only researched immunoglobulin that was directly associated with plaque and gingival indices in Brazilian children with DM1, but not in control subjects.
Keyphrases
  • type diabetes
  • glycemic control
  • young adults
  • coronary artery disease
  • adipose tissue
  • insulin resistance
  • protein kinase
  • machine learning
  • artificial intelligence