Estrogen deficiency influences TNF-alfa and IL-1beta gene expression in the odontogenic region of dental hypofunctional condition
DOI:
https://doi.org/10.4322/bds.2023.e3790Abstract
Objective: Scientific evidence suggests that estrogen deficiency and genetic factors have an influence on the development of the stomatognathic system. This study aimed to evaluate the influence of estrogen deficiency on the gene expression of TNF-alfa, IL-1beta, IL-6 and IL-10 during dental development in a murine model. Material and Methods: Wistar Hannover rats were divided into two groups according to the intervention received: Hypoestrogenism Group - ovariectomy surgery and Control Group - fictitious surgery. To evaluate the dental development, the lower incisor was chosen. The mandibular incisor hypofunction model was performed by incisal adjustment. The homologous incisor exerted a hyperfunction. The animals were evaluated throughout the pubertal period. After euthanasia, the hemimandibles were removed to evaluate the gene expression of the TNF-alfa, IL-1beta, IL-6 and IL-10 in
the odontogenic region of the incisors through real time PCR. Kruskal-Wallis test and Dunn’s posttest were performed. The level of significance was 5%. Results: There were statistically significant differences of TNF-alfa and IL-1beta gene expression between the hypoestrogenism and control groups under hypofunction condition (p=0.0084, p=0.0072, respectively). Conclusion: Estrogen deficiency influences TNF-alfa and IL-1beta gene expression in the odontogenic region of the hypofunctional teeth.
KEYWORDS
Osteogenesis; Estrogen; Proinflammatory cytokines; Gene Expression; Genes.
Published
Issue
Section
License
COPYRIGHT TRANSFER AND RESPONSIBILITY STATEMENT
(PDF)
For all articles published in the BDS journal, copyright is retained by the authors. Articles are licensed under an open-access Creative Commons CC BY 4.0 license, meaning that anyone may download and read the paper for free. In addition, the article may be reused and quoted, provided that the original published version is cited. These conditions allow for maximum use and exposure of the work while ensuring that the authors receive proper credit. All metadata associated with published articles is released under the Creative Commons CC0 Universal Public Domain Dedication.
Before the submission, authors must obtain permission to reproduce any published material (figures, schemes, tables, or any extract of a text) that does not fall into the public domain or for which they do not hold the copyright. Permission should be requested by the authors from the copyright holder (usually the Publisher, please refer to the imprint of the individual publications to identify the copyright holder).
The authors hereby attest that the study is original and does not present manipulated data, fraud, or plagiarism. All names listed made a significant scientific contribution to the study, are aware of the presented data, and agree with the final version of the manuscript. They assume complete responsibility for the ethical aspects of the study.
This text must be printed and signed by all authors. The scanned version should be submitted as supplemental file during the submission process.