Search

Background/aim: Children with excess weight may be more predisposed to traumatic dental injuries (TDI). The aim of this study was to investigate the association between overweight/obesity and TDI presence and severity in Brazilian preschool children., Material and Methods: A cross-sectional study was conducted of 347 children aged three to five years. The main exposure was evaluated based on the body mass index (BMI). Socioeconomic-demographic characteristics and harmful oral habits were investigated using a questionnaire sent to the parents/guardians. Oral clinical examinations were performed to determine overjet (criteria proposed by Foster and Hamilton), and the presence and severity of TDI (criteria proposed by Andreassen). Descriptive statistics were performed. Univariate and multivariate Poisson regression analyses were conducted for each outcome., Results: The prevalence of TDI in the sample was 41.5% and 16% of the children had enamel and dentin fractures. In the multivariate analysis, BMI and overjet were associated with the presence and severity of TDI (PR: 2.04 and 1.78, respectively) of TDI (PR: 2.27 and 2.24, respectively) (p < .001 for all associations)., Conclusion: Overweight/obesity was associated with both the presence and severity of TDI in early childhood., (© 2022 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Arboviruses, including the Zika virus , have recently emerged as one of the most important threats to human health. The use of metagenomics-based approaches has already proven valuable to aid surveillance of arboviral infections, and the ability to reconstruct complete viral genomes from metatranscriptomics data is key to the development of new control strategies for these diseases. Herein, we used RNA-based metatranscriptomics associated with Ion Torrent deep sequencing to allow for the high-quality reconstitution of an outbreak-related Zika virus (ZIKV) genome (10,739 nt), with extended 5'-UTR and 3'-UTR regions, using a newly-implemented bioinformatics approach. Besides allowing for the assembly of one of the largest complete ZIKV genomes to date, our strategy also yielded high-quality complete genomes of two arthropod-infecting viruses co-infecting C6/36 cell lines, namely: Alphamesonivirus 1 strain Salvador (20,194 nt) and Aedes albopictus totivirus-like (4618 nt); the latter likely represents a new viral species. Altogether, our results demonstrate that our bioinformatics approach associated with Ion Torrent sequencing allows for the high-quality reconstruction of known and unknown viral genomes, overcoming the main limitation of RNA deep sequencing for virus identification.