Impact of facial profile on young adults’ oral health-related quality-of-life item levels: A hierarchical analysis

MARTINS, Marcelo Venturinelli; Santos, Patrícia Ribeiro dos; Carneiro, Diego Patrik Alves; Meneghim, Marcelo de Castro; Menezes, Carolina Carmo de; Vedovello, Sílvia Amélia Scudeler

doi:10.1590/2177-6709.26.6.e2120147.oar

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“…The vertical facial profile is strongly associated with the patient’s aesthetic satisfaction and self-esteem, which are powerful motivational factors for seeking orthodontic treatment [ 1 , 2 ]. Patients with hyperdivergent facial profile exhibit an increased lower anterior face height compared to upper anterior face height, while patients with hypodivergent facial profile show the opposite pattern.…”

Section: Introductionmentioning

confidence: 99%

Single Nucleotide Polymorphisms in RUNX2 and BMP2 contributes to different vertical facial profile

Reis,

Matsumoto,

Stuani

et al. 2024

PLoS ONE

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The vertical facial profile is a crucial factor for facial harmony with significant implications for both aesthetic satisfaction and orthodontic treatment planning. However, the role of single nucleotide polymorphisms (SNPs) in the development of vertical facial proportions is still poorly understood. This study aimed to investigate the potential impact of some SNPs in genes associated with craniofacial bone development on the establishment of different vertical facial profiles. Vertical facial profiles were assessed by two senior orthodontists through pre-treatment digital lateral cephalograms. The vertical facial profile type was determined by recommended measurement according to the American Board of Orthodontics. Healthy orthodontic patients were divided into the following groups: “Normodivergent” (control group), “Hyperdivergent” and “Hypodivergent”. Patients with a history of orthodontic or facial surgical intervention were excluded. Genomic DNA extracted from saliva samples was used for the genotyping of 7 SNPs in RUNX2, BMP2, BMP4 and SMAD6 genes using real-time polymerase chain reactions (PCR). The genotype distribution between groups was evaluated by uni- and multivariate analysis adjusted by age (alpha = 5%). A total of 272 patients were included, 158 (58.1%) were “Normodivergent”, 68 (25.0%) were “Hyperdivergent”, and 46 (16.9%) were “Hypodivergent”. The SNPs rs1200425 (RUNX2) and rs1005464 (BMP2) were associated with a hyperdivergent vertical profile in uni- and multivariate analysis (p-value < 0.05). Synergistic effect was observed when evaluating both SNPs rs1200425- rs1005464 simultaneously (Prevalence Ratio = 4.0; 95% Confidence Interval = 1.2–13.4; p-value = 0.022). In conclusion, this study supports a link between genetic factors and the establishment of vertical facial profiles. SNPs in RUNX2 and BMP2 genes were identified as potential contributors to hyperdivergent facial profiles.

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Section: Introductionmentioning

confidence: 99%