Biomechanically induced regulation of Damage-Regulated Autophagy Modulator 1 in periodontal cells and tissues.

Purpose: Autophagy is an important adaptive process for mechanotransduction, in which Damage-Regulated Autophagy Modulator 1 (DRAM1) has a key function in cell fate determination. This study aimed to analyze the influence of biomechanical loading on DRAM1 expression in periodontal cells and tissues.

Methods: Human periodontal ligament (PDL) fibroblasts were stimulated with different pressure protocols, physiological load and overload, in the presence and absence of autophagy inhibitor 3-methyladenine (3-MA) and compared with untreated cells.

Beneficial effects of non-invasive physical plasma on human periodontal ligament cells .

Introduction: Periodontitis is a chronic inflammatory disease of the periodontium that can lead to the loss of affected teeth if left untreated. It is induced by a multifactorial process centered on microbial pathogens such as Fusobacterium nucleatum . Non-invasive physical plasma (NIPP), a highly reactive gas, has become a focus of research, not only for its hemostatic, proliferation-enhancing and apoptotic properties, but also for its antimicrobial potential.

Artificial intelligence model for predicting sexual dimorphism through the hyoid bone in adult patients.

The objective of this study was to develop a predictive model using supervised machine learning to determine sex based on the dimensions of the hyoid bone. Lateral cephalometric radiographs of 495 patients were analyzed, collecting the horizontal and vertical dimensions of the hyoid bone, as well as the distance from the hyoid to the mandible. The following algorithms were trained: Logistic Regression, Gradient Boosting Classifier, K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Multilayer Perceptron Classifier (MLP), Decision Tree, AdaBoost Classifier, and Random Forest Classifier.

Sex prediction through machine learning utilizing mandibular condyles, coronoid processes, and sigmoid notches features.

Characteristics of the mandible structures have been relevant in anthropological and forensic studies for sex prediction. This study aims to evaluate the coronoid process, condyle, and sigmoid notch patterns in sex prediction through supervised machine learning algorithms. Cephalometric radiographs from 410 dental records of patients were screened to investigate the morphology of the coronoid process, condyle, and sigmoid notch and the Co-Gn distance.

Interaction between polymorphisms in TNF-⍺ and RANKL genes is associated with the development of persistent apical periodontitis, in Brazilian subjects.

Objectives: To investigate the association between genetic polymorphisms in suppressor of cytokine signaling-1 (SOCS-1), tumor necrosis factor-⍺ (TNF-α) and its receptors 1 and 2 (TNFRSF1A and TNFRSF1B), receptor activator of nuclear factor kappa-b (RANK), receptor activator of nuclear factor-kappa B ligand (RANKL) and osteoprotegerin (OPG), and persistent apical periodontitis (PAP).

Methods: Patients with pulp necrosis and apical periodontitis at the time of non-surgical root canal treatment were followed up for at least one year. A total of 423 subjects were included, 172 with signs/symptoms of PAP and 251 with apical periodontitis healed.

Investigation of genetic polymorphisms in genes encoding growth factors and dental pulp calcification in orthodontic patients.

Background And Objectives: Pulp calcification is associated with many factors and triggers, including individual genetic predisposition and orthodontic forces. This study aimed to investigate whether genetic polymorphisms in are associated with a risk of dental pulp calcifications in orthodontic patients.

Materials And Methods: Digital orthopantomography (OPG) and genomic DNA from 132 patients were analyzed in this cross-sectional study.

Predicting the Risk of Maxillary Canine Impaction Based on Maxillary Measurements Using Supervised Machine Learning.

Objectives: To predict palatally impacted maxillary canines based on maxilla measurements through supervised machine learning techniques.

Materials And Methods: The maxilla images from 138 patients were analysed to investigate intermolar width, interpremolar width, interpterygoid width, maxillary length, maxillary width, nasal cavity width and nostril width, obtained through cone beam computed tomography scans. The predictive models were built using the following machine learning algorithms: Adaboost Classifier, Decision Tree, Gradient Boosting Classifier, K-Nearest Neighbours (KNN), Logistic Regression, Multilayer Perceptron Classifier (MLP), Random Forest Classifier and Support Vector Machine (SVM).

PAINe: An Artificial Intelligence-based Virtual Assistant to Aid in the Differentiation of Pain of Odontogenic versus Temporomandibular Origin.

Introduction: Pain associated with temporomandibular dysfunction (TMD) is often confused with odontogenic pain, which is a challenge in endodontic diagnosis. Validated screening questionnaires can aid in the identification and differentiation of the source of pain. Therefore, this study aimed to develop a virtual assistant based on artificial intelligence using natural language processing techniques to automate the initial screening of patients with tooth pain.

Sex determination through maxillary dental arch and skeletal base measurements using machine learning.

Background: Cranial, facial, nasal, and maxillary widths have been shown to be significantly affected by the individual's sex. The present study aims to use measurements of dental arch and maxillary skeletal base to determine sex, employing supervised machine learning.

Materials And Methods: Maxillary and mandibular tomographic examinations from 100 patients were analyzed to investigate the inter-premolar width, inter-molar width, maxillary width, inter-pterygoid width, nasal cavity width, nostril width, and maxillary length, obtained through Cone Beam Computed Tomography scans.

Influence of circadian rhythm on effects induced by mechanical strain in periodontal ligament cells.

Purpose: The aim of this study was to investigate the influence of mechanical strain on clock gene function in periodontal ligament (PDL) cells. Furthermore, we wanted to analyze whether effects induced by mechanical stress vary in relation to the circadian rhythm.

Methods: Human PDL fibroblasts were synchronized in their circadian rhythm with dexamethasone and stretched over 24 h.

Do SOD2 and SOD3 gene polymorphisms impact the oral health-related quality of life in Para athletes?

The aim of this study was to evaluate whether polymorphisms in SOD2 and SOD3 genes modulate the oral health-related quality of life (OHRQoL) of Para athletes with dental caries experience. The cross-sectional study included 264 Para athletes (143 in athletics, 61 in weightlifting and 60 in swimming). A trained and calibrated team recorded the decayed, missing and filled teeth index (DMFT).

Demirjian's and Cameriere's Methods for the Assessment of Dental Age Estimation in Children from a Southern Brazilian City.

The chronological age estimation of living individuals is a crucial part of forensic practice and clinical practice, such as in orthodontic treatment. It is well-known that methods for age estimation in living children should be tested on different populations. Ethnic affiliations in Brazil are divided into several major groups depending on the region, with the south of Brazil being known for its German immigration.

Genetic polymorphisms associated with developmental defects of enamel: A systematic review.

Background: Polymorphisms in genes related to enamel formation and mineralization may increase the risk of developmental defects of enamel (DDE).

Aim: To evaluate the existing literature on genetic polymorphisms associated with DDE.

Design: This systematic review was registered in the PROSPERO (CRD42018115270).

Association of defects of enamel with polymorphisms in the vitamin D receptor and parathyroid hormone genes.

This cross-sectional study aimed to investigate the association between developmental defects of enamel (DDE) and single nucleotide polymorphisms (SNPs) in the genes encoding the vitamin D receptor (VDR) and parathyroid hormone (PTH). Orthodontic patients receiving treatment at a dental school were selected through convenience sampling. Intra-oral photographs were used to assess DDE, which were classified according to the criteria proposed by Ghanim et al.

Frequency and variability of nonmetric dental crown traits of primary and permanent molars in a group of orthodontic patients.

Background: The present study aimed to assess the frequency and variation of 13 nonmetric dental crown traits (NDCT) in permanent and primary molars in German orthodontic patients.

Methods: Dental records from orthodontic patients were screened and evaluated. First and second permanent and primary upper and lower molars (from left and right sides) were assessed.

Is There Variation in the Morphology of the Frontal Sinus in Individuals with Different Craniofacial Patterns? A Systematic Review with Meta-Analysis.

To evaluate differences in the morphology of the frontal sinus in adolescents and adults with different craniofacial patterns, searches up to April 2024 were conducted in six databases and other information sources to identify observational studies. Study selection, data extraction, and quality assessment using the NOS scale were performed independently by two reviewers. Random effects meta-analyses were conducted to estimate the difference in frontal sinus measurements between different craniofacial skeletal patterns (α = 0.

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

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.

Mandibular and dental measurements for sex determination using machine learning.

The present study tested the combination of mandibular and dental dimensions for sex determination using machine learning. Lateral cephalograms and dental casts were used to obtain mandibular and mesio-distal permanent teeth dimensions, respectively. Univariate statistics was used for variables selection for the supervised machine learning model (alpha = 0.

Influence of preventive remineralizing techniques on surface roughness and volume loss of dentin submitted to erosive and/or abrasive challenges.

Background: The objective this study was to evaluate the influence of preventive remineralizing techniques on surface roughness and volume loss of dentin submitted to erosive and/or abrasive challenges.

Material And Methods: One hundred and eighty specimens of bovine root dentin were made; half of each was isolated (without treatment - WT) and half was subjected to the following remineralizing techniques: fluoride varnish (FV); Regenerate Boosting Serum® (RBS); Er,Cr:YSGG laser (L); fluoride varnish+laser (FV+L); Regenerate Boosting Serum®+laser (RBS+L). The specimens were submitted to erosive, abrasive and erosive followed by abrasive challenge.

Association between dental age and malocclusions: a systematic review.

Background: The evidence in the literature suggests that some skeletal or dental malocclusions are involved with dental development, resulting in advanced or delayed dental age (DA). The purpose of this systematic review was to investigate the association between DA and different types of malocclusions.

Methods: The search was carried out on PubMed, Scopus, Web of Science, Virtual Health Library, and in the gray literature.