Caries Research

Research Article

Aquaporins’ Influence on Different Dental Erosive Wear Phenotypes in Humans

Tulek A.a · Vieira A.R.b · Weber M.L.b · Bezamat M.b · Deeley K.b · Stenhagen K.R.c · Sehic A.a · Sovik J.B.c · Mulic A.d

Author affiliations

aDepartment of Oral Biology, Faculty of Dentistry, University of Oslo, Oslo, Norway
bDepartment of Oral Biology, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, USA
cDepartment of Cariology, Institute of Clinical Dentistry, University of Oslo, Oslo, Norway
dNordic Institute of Dental Materials, Oslo, Norway

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Caries Res 2020;54:165–175

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Article / Publication Details

First-Page Preview
Abstract of Research Article

Received: April 08, 2019
Accepted: January 16, 2020
Published online: February 11, 2020
Issue release date: August 2020

Number of Print Pages: 11
Number of Figures: 0
Number of Tables: 4

ISSN: 0008-6568 (Print)
eISSN: 1421-976X (Online)

For additional information: https://www.karger.com/CRE

Abstract

Dental erosive wear is a multifactorial condition of high prevalence. Nowadays, there is an emphasis on discovering individual genetic predisposition for the development of this condition. Aquaporins (AQPs) are water channel proteins expressed in salivary glands, as well as during tooth development. They are involved in salivary secretion and composition and linked to physiological protection of the oral cavity. The aim of this study was to explore the relationship between different dental erosive wear phenotypes, AQP genes, and selected environmental factors. Data from 705 dental patients were used to investigate the association between dental erosive wear phenotypes and AQPs’ single-nucleotide variants. Phenotypes were further analyzed considering diet and oral hygiene data, using logistic regression analysis, as implemented in PLINK, with the assumption that dental erosive wear is a complex gene-environment model. Associations were found between severe erosive tooth wear and rs2878771 (AQP2) for the genotypic (p = 0.02) and dominant (p = 0.03) models, and rs3736309 (AQP5) for the allelic model (p = 0.02). Logistic regression analyses, after implementing the Bonferroni correction, showed that several significant associations were present when covariates were included, suggesting that a strong environmental component is present. Our results show that dental erosive wear establishes under a gene-environmental complex model.

© 2020 S. Karger AG, Basel




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Article / Publication Details

First-Page Preview
Abstract of Research Article

Received: April 08, 2019
Accepted: January 16, 2020
Published online: February 11, 2020
Issue release date: August 2020

Number of Print Pages: 11
Number of Figures: 0
Number of Tables: 4

ISSN: 0008-6568 (Print)
eISSN: 1421-976X (Online)

For additional information: https://www.karger.com/CRE


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