Impact of genetic variations in the WNT family members and RUNX2 on dental and skeletal maturation: a cross-sectional study.


Journal

Head & face medicine
ISSN: 1746-160X
Titre abrégé: Head Face Med
Pays: England
ID NLM: 101245792

Informations de publication

Date de publication:
03 Jul 2023
Historique:
received: 10 03 2023
accepted: 19 06 2023
medline: 5 7 2023
pubmed: 4 7 2023
entrez: 3 7 2023
Statut: epublish

Résumé

This study evaluated if genetic variations in the WNT family members and RUNX2 are associated with craniofacial maturation, investigating dental and skeletal maturity in children and teenagers. Radiographs from pre-orthodontic treatment of Brazilian patients (7 to 17 years-old) were used to assess dental (panoramic radiographs) and skeletal maturity (cephalometric radiographs). The chronological age (CA) was calculated based on the date of birth and the time the radiographs were performed. For the dental maturity analysis, the Demirjian (1973) method was used and a delta [dental age - chronological age (DA-CA)] was calculated. For the skeletal maturity analysis, the Baccetti et al. (2005) method was used and the patients were classified as "delayed skeletal maturation", "advanced skeletal maturation" or "normal skeletal maturation". DNA isolated from buccal cells was used for genotyping of two genetic variations in WNT family genes: rs708111 (G > A) in WNT3A and rs1533767 (G > A) in WNT11; and two genetic variations in RUNX2: rs1200425 (G > A) and rs59983488 (G > T). A statistical analysis was performed and values of p < 0.05 indicated a significant difference. There were no associations between dental maturity and genotypes (p > 0.05). In the skeletal maturity analysis, the allele A in the rs708111 (WNT3A) was statistically more frequent in patients with delayed skeletal maturation (Prevalence Ratio = 1.6; 95% Confidence Interval = 1.00 to 2.54; p-value = 0.042). The rs708111 in the WNT3A gene impacts on skeletal maturation.

Sections du résumé

BACKGROUND BACKGROUND
This study evaluated if genetic variations in the WNT family members and RUNX2 are associated with craniofacial maturation, investigating dental and skeletal maturity in children and teenagers.
METHODS METHODS
Radiographs from pre-orthodontic treatment of Brazilian patients (7 to 17 years-old) were used to assess dental (panoramic radiographs) and skeletal maturity (cephalometric radiographs). The chronological age (CA) was calculated based on the date of birth and the time the radiographs were performed. For the dental maturity analysis, the Demirjian (1973) method was used and a delta [dental age - chronological age (DA-CA)] was calculated. For the skeletal maturity analysis, the Baccetti et al. (2005) method was used and the patients were classified as "delayed skeletal maturation", "advanced skeletal maturation" or "normal skeletal maturation". DNA isolated from buccal cells was used for genotyping of two genetic variations in WNT family genes: rs708111 (G > A) in WNT3A and rs1533767 (G > A) in WNT11; and two genetic variations in RUNX2: rs1200425 (G > A) and rs59983488 (G > T). A statistical analysis was performed and values of p < 0.05 indicated a significant difference.
RESULTS RESULTS
There were no associations between dental maturity and genotypes (p > 0.05). In the skeletal maturity analysis, the allele A in the rs708111 (WNT3A) was statistically more frequent in patients with delayed skeletal maturation (Prevalence Ratio = 1.6; 95% Confidence Interval = 1.00 to 2.54; p-value = 0.042).
CONCLUSIONS CONCLUSIONS
The rs708111 in the WNT3A gene impacts on skeletal maturation.

Identifiants

pubmed: 37400934
doi: 10.1186/s13005-023-00372-3
pii: 10.1186/s13005-023-00372-3
pmc: PMC10316614
doi:

Substances chimiques

Core Binding Factor Alpha 1 Subunit 0
RUNX2 protein, human 0
Wnt3 Protein 0
WNT3A protein, human 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

26

Informations de copyright

© 2023. The Author(s).

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Auteurs

Caio Luiz Bitencourt Reis (CL)

Department of Pediatric Dentistry, School of Dentistry of Ribeirão Preto, University of São Paulo, São Paulo, Brazil.

Mirian Aiko Nakane Matsumoto (MA)

Department of Pediatric Dentistry, School of Dentistry of Ribeirão Preto, University of São Paulo, São Paulo, Brazil.

Flares Baratto-Filho (F)

School of Dentistry, Tuiuti University of Paraná, Paraná, Brazil.
School of Dentistry, Univille University, Joinville, Brazil.

Rafaela Scariot (R)

Department of Stomatology, Federal University of Paraná, Paraná, Brazil.

Maria Bernadete Sasso Stuani (MB)

Department of Pediatric Dentistry, School of Dentistry of Ribeirão Preto, University of São Paulo, São Paulo, Brazil.

Fábio Lourenço Romano (F)

Department of Pediatric Dentistry, School of Dentistry of Ribeirão Preto, University of São Paulo, São Paulo, Brazil.

Ricardo Della Coletta (R)

Department of Oral Diagnosis, School of Dentistry of Piracicaba, University of Campinas (UNICAMP), Campinas, SP, Brazil.

Daniela Silva Barroso de Oliveira (D)

Department of Clinic and Surgery, School of Dentistry, Federal University of Alfenas, Alfenas, Minas Gerais, Brazil.

Peter Proff (P)

Department of Orthodontics, University of Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany.

Christian Kirschneck (C)

Department of Orthodontics, University of Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany. christian.kirschneck@klinik.uni-regensburg.de.

Erika Calvano Küchler (E)

Department of Orthodontics, University of Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany.

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Classifications MeSH