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1,900 results for “periodontitis”
Accuracy of EFP/AAP 2018 and CDC/AAP 2012 in partial periodontitis diagnostic protocols with 11-12 & 13-14 NHANES periodontal data
<p>Accuracy of EFP/AAP 2018 and CDC/AAP 2012 in partial periodontitis diagnostic protocols with 11-12 & 13-14 NHANES periodontal data</p>
Fangxi-Xu/Succinate_Periodontitis: Targeting Succinate Receptor Effectively Inhibits Periodontitis
<p>Periodontal disease (PD) is one of the most common inflammatory diseases in humans and is initiated by an oral microbial dysbiosis that stimulates inflammation and bone loss. Here, we report an abnormal elevation of succinate in the subgingival plaque of subjects with severe PD. Succinate activates the succinate receptor-1 (SUCNR1) and stimulates inflammation. We detected SUCNR1 expression in the human and mouse periodontium and hypothesize that succinate activates SUCNR1 to accelerate periodontitis through the inflammatory response. Administration of exogenous succinate enhanced periodontal disease, whereas SUCNR1 knockout mice were protected from inflammation, oral dysbiosis, and subsequent periodontal bone loss in two different models of periodontitis. Therapeutic studies demonstrated that a novel SUCNR1 antagonist inhibited inflammatory events and osteoclastogenesis in vitro and reduced periodontal bone loss in vivo. Our study reveals a previously unknown action of succinate in promoting periodontitis and provides a novel topical treatment for this disease.</p> <p>Any microbiome data and r code used for downstream analysis in the manuscript were deposited to this repository.</p> <p><strong>Full Changelog</strong>: <a href="https://github.com/Fangxi-Xu/Succinate_Periodontitis/commits/microbiome">https://github.com/Fangxi-Xu/Succinate_Periodontitis/commits/microbiome</a></p>
IL-6 and TNF-α salivary levels according to the periodontal status in pregnant Portuguese women
<p>The aim of this study was to evaluate the expression levels of interleukin-6 (IL-6), and tumor necrosis factor-alpha (TNF-α) in pregnant women with different periodontal status at Garcia de Orta Hospital (Almada, Portugal).</p>
Smoking-induced subgingival dysbiosis precedes clinical signs of periodontal disease
<p>Using 16 rRNA sequencing, a total of 233 subgingival sites from 8 smokers and 9 non-smokers over 6-12 months(804 subgingival samples total) were analyzed to study subgingival microbiome dysbiosis in smokers over time.</p>
Data from: Mouse gingival single cell transcriptomic atlas identified a novel fibroblast subpopulation activated to guide oral barrier immunity in periodontitis
<p>Periodontitis, one of the most common non-communicable diseases, is characterized by chronic oral inflammation and uncontrolled tooth supporting alveolar bone resorption. Its underlying mechanism to initiate aberrant oral barrier immunity has yet to be delineated. Here, we report a unique fibroblast subpopulation activated to guide oral inflammation (AG fibroblasts) identified in a single-cell RNA sequencing gingival cell atlas constructed from the mouse periodontitis models. AG fibroblasts localized beneath the gingival epithelium and in the cervical periodontal ligament responded to the ligature placement and to the discrete topical application of Toll-like receptor stimulants to mouse maxillary tissue. The upregulated chemokines and ligands of AG fibroblasts linked to the putative receptors of neutrophils in the early stages of periodontitis. In the established chronic inflammation, neutrophils together with AG fibroblasts appeared to induce type 3 innate lymphoid cells (ILC3s) that were the primary source of interleukin-17 cytokines. The comparative analysis of <em>Rag2-/-</em> and <em>Rag2gc-/-</em> mice suggested that ILC3 contributed to the cervical alveolar bone resorption interfacing the gingival inflammation. We propose that the AG fibroblast–neutrophil–ILC3 axis as a previously unrecognized mechanism which could be involved in the complex interplay between oral barrier immune cells contributing to pathological inflammation in periodontitis.</p>
Dataset- Self-reported periodontal disease, dental presence and COVID-19, in older adults of the Playa municipality
<p>Esta base de datos fue creada con el objetivo de determinar la relación existente entre la enfermedad periodontal autoinformada, la perdida dentaria y el comportamiento de la covid-19.</p> <p>---------------------------------------------------------------------------------ENG</p> <p>This database was created with the objective of determining the relationship between self-reported periodontal disease, tooth loss and the behavior of covid-19.</p>
Chronic Apical Periodontitis Risk Prediction and Assessment
<p><strong>Workflow and Process:</strong></p> <ol> <li> <p><strong>Sample Selection and Preparation:</strong></p> <ul> <li><strong>Objective:</strong> Select relevant CAP-related samples from the UK Biobank ensuring quality and representativeness.</li> <li><strong>Tasks:</strong> Integrate personal health information, blood biochemical indicators, and genetic data to construct feature sets.</li> </ul> <p><strong>Related Files/Directories:</strong></p> <ul> <li><code>S1_sample_selection.csv</code>: CSV file with selected samples.</li> <li><code>feature_info</code>: Directory containing information about features used.</li> </ul> </li> <li> <p><strong>Data Integration and Feature Engineering:</strong></p> <ul> <li><strong>Objective:</strong> Combine genetic and electronic medical record data to build comprehensive feature sets.</li> <li><strong>Tasks:</strong> Process and integrate various data types to prepare for model development.</li> </ul> <p><strong>Related Files/Directories:</strong></p> <ul> <li><code>data_integration</code>: Directory containing scripts and data files for integration.</li> </ul> </li> <li> <p><strong>Machine Learning Model Development:</strong></p> <ul> <li><strong>Objective:</strong> Develop and train various machine learning models, including random forest, support vector machine, logistic regression, and adaptive boosting, using the integrated data.</li> <li><strong>Tasks:</strong> Implement and train models to predict CAP risk based on the selected features.</li> </ul> <p><strong>Related Files/Directories:</strong></p> <ul> <li><code>code</code>: Directory containing code files for machine learning model development.</li> <li><code>models</code>: Directory with trained model files.</li> </ul> </li> <li> <p><strong>Model Performance Evaluation:</strong></p> <ul> <li><strong>Objective:</strong> Assess the performance of the machine learning models and compare their predictive capabilities.</li> <li><strong>Tasks:</strong> Evaluate models using metrics such as area under the curve (AUC) and sensitivity.</li> </ul> <p><strong>Related Files/Directories:</strong></p> <ul> <li><code>S2_traintest_id.RData</code>: RData file with training and testing identifiers.</li> <li><code>S4_model_performance.RData</code>: RData file with model performance results.</li> <li><code>S5_model_res.zip</code>: Compressed file containing detailed model results</li> </ul> </li> </ol>
Serum Chromium, Nickel, and Magnesium in Type 2 Diabetic Periodontitis
ClinicalTrials.gov study NCT07327086. IPD Sharing: NO. Countries: 1. Publications: 2.
Effect of Different Chelation Protocols on the Healing of Periapical Lesions in Teeth With Chronic Apical Periodontitis
ClinicalTrials.gov study NCT07353008. IPD Sharing: NO. Countries: 1. Publications: 5.
Determination of RNA/DNA Damage Associated With Oxidative Stress in Periodontitis Patients
ClinicalTrials.gov study NCT07279896. IPD Sharing: NO. Countries: 1. Publications: 3.
Periodontal Infection and Endothelial Dysfunction
ClinicalTrials.gov study NCT00681564. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Omega-3 Plus Low-dose Aspirin Daily Supplementation in Non-surgical Therapy to Treat Aggressive Periodontitis
ClinicalTrials.gov study NCT03093246. IPD Sharing: NO. Countries: 1. Publications: 1.
Taurine in Periodontitis and Aging
ClinicalTrials.gov study NCT06635369. IPD Sharing: NO. Countries: 1. Publications: 0.
Endoscope-assisted Flapless Approach Versus Papillary Preservation Technique in Periodontal Regeneration.
ClinicalTrials.gov study NCT06978036. IPD Sharing: NO. Countries: 1. Publications: 0.
Comparative Evaluation of Propolis Mouthwash With 0.2% Chlorhexidine Mouthwash in Improving the Periodontitis
ClinicalTrials.gov study NCT05870059. IPD Sharing: NO. Countries: 1. Publications: 1.
Omega-3 Fatty Acids Plus Low-dose Aspirin Daily Supplementation in Surgical Therapy to Treat Aggressive Periodontitis
ClinicalTrials.gov study NCT03093207. IPD Sharing: NO. Countries: 1. Publications: 1.
Oral-Spray Bacillus Spore Probiotics for Periodontal Disease Prevention and Supprotive Treatment in the Elderly
ClinicalTrials.gov study NCT07258303. IPD Sharing: YES. Countries: 1. Publications: 12.
Clinical and Radiographic Evaluation of Demineralized Freeze-Dried Bone Allograft Versus Platelet Rich Fibrin for the Treatment of Periodontal Intrabony Defects in Humans
ClinicalTrials.gov study NCT02154906. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effect of Postsurgical Systemic Doxycycline After Regenerative Periodontal Therapy
ClinicalTrials.gov study NCT01030666. IPD Sharing: NO. Countries: 1. Publications: 2.
Comparing of the Clinical Outcome of Periodontal Accelerated Osteogenic Orthodontics With Horizontal or Vertical Releasing Incisions
ClinicalTrials.gov study NCT05441683. IPD Sharing: YES. Countries: 1. Publications: 0.
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.