Department of Oral Biology, Faculty of Dentistry, University of Oslo, Oslo, Norway,
Department of Oral Biology, School of Dental Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Caries Res. 2020;54(2):165-175. doi: 10.1159/000505965. Epub 2020 Feb 11.
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.
牙齿酸蚀症是一种普遍存在的多因素疾病。如今，人们越来越重视发现个体遗传易感性与这种疾病发展之间的关系。水通道蛋白（AQP）是在唾液腺中表达的水通道蛋白，也在牙齿发育过程中表达。它们参与唾液分泌和组成，并与口腔的生理保护有关。本研究旨在探讨不同的牙齿酸蚀症表型、AQP 基因与选定的环境因素之间的关系。使用 705 名牙科患者的数据来研究牙齿酸蚀症表型与 AQP 单核苷酸变异之间的关系。使用逻辑回归分析进一步分析表型，同时考虑饮食和口腔卫生数据，PLINK 中的假设是牙齿酸蚀症是一种复杂的基因-环境模型。在基因型（p = 0.02）和显性模型（p = 0.03）中，严重的牙齿酸蚀症与 rs2878771（AQP2）之间存在关联，在等位基因模型（p = 0.02）中与 rs3736309（AQP5）之间存在关联。在纳入协变量后进行逻辑回归分析表明，存在几个具有统计学意义的关联，表明存在强烈的环境因素。我们的结果表明，牙齿酸蚀症是在基因-环境复杂模型下建立的。
