A Dynamic Technique of Oral Rehabilization Using Fixed Prosthesis and CSC Telescopic Denture for Severe Advanced Periodontitis with Secondary Occlusal Traumatism – A Long-term Case Report

Clinical reports of many literatures had documented that meticulous non-surgical periodontal therapy (NSPT) and combined with periodontal prosthesis application might not only improve periodontal parameters, but also provide effective reduction of microbiological organisms associated with periodontal pathogen. A 54-year old female individual visited with chief complains of gingival bleeding and mobile teeth, and recurrent periodontal abscess over # 13, # 11, # 21, and # 22. Periapical radiographs disclosed moderate periodontal bone loss on the total remained teeth of maxilla and mandible arches. A diagnosis of generalized severe advanced periodontitis (SAP) with secondary occlusal traumatism (SOT) was established. This present case was to document the treatment of a 6 years longitudinally retrospective evaluation of case affected SAP with SOT using treatment of the combination of periodontal and perio-prosthetic design. Results showed that the remarkable improvement of periodontal tissues, reconstruction of posterior bite occlusion and recovery of esthetic appearance. It can be concluded that the Sandwich’s technique in treating patients affected SAP with SOT is an effective and valuable option.

Association of Serum and Crevicular Fluid Dickkopf-1 Levels with Disease Activity and Periodontitis in Patients with Early Rheumatoid Arthritis

Background: The aim of this study was to assess DKK-1 levels, in Gingival Crevicular Fluid (GCF) and serum, as a biomarker for bone loss and disease activity in periodontitis and early RA (eRA). Methods: In this cross-sectional study, we obtained serum and GCF from 10 interproximal sites (Distal Buccal I/S, Mesio Buccal I/S, Distal Palatal/Lingual, Mesio Palatal/Lingual) according to the highest degree of inflammation by a patient for 240 sites from eRA patients. Patients received a periodontal assessment, a radiographic evaluation, tomography of interproximal sites, and DKK1 levels were determined by ELISA. Comparisons were performed by the Mann–Whitney U test and analysis by Chi2 test, and a logistic regression model was applied. Results: The mean age was 46.33 ± 12.0 years, the Disease Activity Score (DAS-28-ESR) was 4.08 ± 1.4. Periodontitis was present in 65.2% of the patients, and 59.6% of these patients had bone loss in interproximal sites. Higher GCF-DKK1 levels were associated with serum-DKK1 (OR:2.41 IC95% 1.14–5.09, p=0.021) and were related with DAS28-ESR (p=0.001), Routine Assessment of Patient Index Data 3 (RAPID 3) (p=0.001), and tender joints (p=0.040). Foot bone erosion and juxta-articular osteopenia were associated with high levels of serum-DKK1 (p=0.009 and 0.001, respectively). Serum-DKK1 were associated with SDAI (OR: 2.38 IC95% 1.03–5.52, p=0.043), RAPID 3 (p=0.001), and rheumatoid factor (p=0.018). The GCF-DKK1 levels were associated with periodontal bone loss (p=0.011), periodontitis (p=0.070) and its severity (OR: 2.58 IC95% 2.28–7.28, p=0.001). Bone loss was more frequent in buccal sites (73.5%) and was associated with increased levels of DKK1 (p=0.033). Conclusion: In the early stages of the eRA disease, serum and GCF-DKK1 could be a biomarker for clinical disease activity and periodontal and articular bone erosion.

Myeloid HIF1α Is Involved in the Extent of Orthodontically Induced Tooth Movement

During orthodontic tooth movement, transcription factor hypoxia-inducible factor 1α (HIF1α) is stabilised in the periodontal ligament. While HIF1α in periodontal ligament fibroblasts can be stabilised by mechanical compression, in macrophages pressure application alone is not sufficient to stabilise HIF1α. The present study was conducted to investigate the role of myeloid HIF1α during orthodontic tooth movement. Orthodontic tooth movement was performed in wildtype and Hif1αΔmyel mice lacking HIF1α expression in myeloid cells. Subsequently, µCT images were obtained to determine periodontal bone loss, extent of orthodontic tooth movement and bone density. RNA was isolated from the periodontal ligament of the control side and the orthodontically treated side, and the expression of genes involved in bone remodelling was investigated. The extent of tooth movement was increased in Hif1αΔmyel mice. This may be due to the lower bone density of the Hif1αΔmyel mice. Deletion of myeloid Hif1α was associated with increased expression of Ctsk and Acp5, while both Rankl and its decoy receptor Opg were increased. HIF1α from myeloid cells thus appears to play a regulatory role in orthodontic tooth movement.

Current applications and development of artificial intelligence for digital dental radiography

In the last few years, artificial intelligence (AI) research has been rapidly developing and emerging in the field of dental and maxillofacial radiology. Dental radiography, which is commonly used in daily practices, provides an incredibly rich resource for AI development and attracted many researchers to develop its application for various purposes. This study reviewed the applicability of AI for dental radiography from the current studies. Online searches on PubMed and IEEE Xplore databases, up to December 2020, and subsequent manual searches were performed. Then, we categorized the application of AI according to similarity of the following purposes: diagnosis of dental caries, periapical pathologies, and periodontal bone loss; cyst and tumor classification; cephalometric analysis; screening of osteoporosis; tooth recognition and forensic odontology; dental implant system recognition; and image quality enhancement. Current development of AI methodology in each aforementioned application were subsequently discussed. Although most of the reviewed studies demonstrated a great potential of AI application for dental radiography, further development is still needed before implementation in clinical routine due to several challenges and limitations, such as lack of datasets size justification and unstandardized reporting format. Considering the current limitations and challenges, future AI research in dental radiography should follow standardized reporting formats in order to align the research designs and enhance the impact of AI development globally.

Association between Odontogenic and Maxillary Sinus Conditions: A Retrospective Cone-Beam Computed Tomographic Study

Odontogenic infections can directly trigger maxillary sinusitis. CBCT is an excellent choice for precise examination of maxillary sinuses and hard tissues within the oral cavity. The objective of this retrospective and the cross-sectional study was to analyze the influence of odontogenic conditions on the presence and intensity of maxillary sinus mucous membrane thickening using CBCT imaging. Moreover, periodontal bone loss and anatomic relationship between adjacent teeth and maxillary sinuses were assessed to evaluate its possible impact on creating maxillary thickening. The study sample consisted of 200 maxillary sinuses of 100 patients visible on CBCT examination with a field of view of 13 × 15 cm. The presented study revealed a significant influence of periapical lesions, inappropriate endodontic treatment, severe caries, and extracted teeth on the presence of increased thickening of maxillary sinus mucous membrane. In addition, an increase in the distance between root apices and maxillary sinus floor triggered a significant reduction of maxillary sinus mucous membrane thickening. The presence of periodontal bone loss significantly increases maxillary sinus mucous membrane thickening.

LncRNA Nron Inhibits Bone Resorption in Periodontitis

Periodontitis is the most common chronic oral disease and is characterized by active osteoclast activity and significant alveolar bone resorption. However, the key regulatory factors of periodontal bone loss have yet to be determined, and reasonable intervention methods for periodontitis have not been developed. Currently, long noncoding RNAs (lncRNAs) have shown a remarkable ability to maintain normal cell and tissue homeostasis. Interestingly, we recently found that the lncRNA Nron is negatively correlated with alveolar bone resorption in periodontitis model. To explore the role of Nron in periodontal bone loss, osteoclastic-specific Nron knockout mice and osteoclastic-specific Nron transgenic mice were generated. Nron effectively inhibited osteoclastogenesis and alveolar bone resorption. Mechanistically, Nron was found to effectively promote the nuclear transport of NF-κb repressing factor (NKRF). In addition, NKRF in the nucleus significantly repressed the transcription of Nfatc1, which is a major NF-κb signaling molecule. Importantly, local injection of the Nron overexpression vector significantly inhibited osteoclastogenesis and alveolar bone resorption, which indicated the translational application potential of lncRNAs in the treatment of bone resorption in periodontitis.

Automating Periodontal bone loss measurement via dental landmark localisation

Purpose Periodontitis is the sixth most prevalent disease worldwide and periodontal bone loss (PBL) detection is crucial for its early recognition and establishment of the correct diagnosis and prognosis. Current radiographic assessment by clinicians exhibits substantial interobserver variation. Computer-assisted radiographic assessment can calculate bone loss objectively and aid in early bone loss detection. Understanding the rate of disease progression can guide the choice of treatment and lead to early initiation of periodontal therapy. Methodology We propose an end-to-end system that includes a deep neural network with hourglass architecture to predict dental landmarks in single, double and triple rooted teeth using periapical radiographs. We then estimate the PBL and disease severity stage using the predicted landmarks. We also introduce a novel adaptation of MixUp data augmentation that improves the landmark localisation. Results We evaluate the proposed system using cross-validation on 340 radiographs from 63 patient cases containing 463, 115 and 56 single, double and triple rooted teeth. The landmark localisation achieved Percentage Correct Keypoints (PCK) of 88.9%, 73.9% and 74.4%, respectively, and a combined PCK of 83.3% across all root morphologies, outperforming the next best architecture by 1.7%. When compared to clinicians’ visual evaluations of full radiographs, the average PBL error was 10.69%, with a severity stage accuracy of 58%. This simulates current interobserver variation, implying that diverse data could improve accuracy. Conclusions The system showed a promising capability to localise landmarks and estimate periodontal bone loss on periapical radiographs. An agreement was found with other literature that non-CEJ (Cemento-Enamel Junction) landmarks are the hardest to localise. Honing the system’s clinical pipeline will allow for its use in intervention applications.

Many miRNAs participate in inflammatory regulation and bone metabolism. Overexpression of miR21 and miR155 releases proinflammatory cytokines

A variety of miRNAs involved in inflammatory regulation and bone metabolism impact the clinical course of periodontitis and periimplantitis. The expression levels of the miR146 family, the let7 family, and miR1445p are all raised in periodontal lesions, resulting in accelerated tissue deterioration via the TLR, NFB, and other signaling pathways. Overexpression of miR21 and miR155 induces the release of proinflammatory cytokines. The lack of MiR21 induces significant periodontal bone loss, although cutting down miR155 reduces TNF-induced osteogenesis inhibition to some extent. MiR223, miR27a, and miR128 are all associated with bone remodeling. In periimplantitis, the expression of miR27a and miR128 is downregulated, which might be connected to alveolar bone resorption. To far, only a few studies have been conducted on inflammatory alveolar bone defects and related microRNAs. It is vital to conduct in-depth research to shed light on the possible links between inflammatory alveolar bone defects and miRNAs in order to develop creative strategies to prevent and cure inflammatory alveolar bone defects.