eCommons at Roseman University
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Machine Learning for Child Oral Health: An Scoping Review
Machine Learning (ML) has great potential to assist dental professionals with diagnosing and predicting outcomes of oral health. Tooth decay in children is the most common chronic childhood disease and it can be prevented by early detection. We aimed to provide a map of the current evidence on machine learning (ML) in child oral health and provide insight for future research
Tobacco and Covid-19
The relationship between tobacco use and COVID-19 has been a subject of ongoing research. Evidence suggests that tobacco may contribute to an increased susceptibility to respiratory infections, potentially exacerbating the severity of COVID-19 symptoms
Spatial Analysis of Maxillary Central Incisors in Relation to the Nasopalatine Canal and Surrounding Alveolar Bone
The use of mini-implants in orthodontics has enabled greater retraction of incisors than previously achievable. This change underscores the need to understand how incisors relate to the alveolar bone and nasopalatine canal. The varying labiolingual inclination of incisors during orthodontic treatments may influence these anatomical relationships. Our study aimed to assess the spatial relationship between maxillary central incisors and the surrounding alveolar bone and nasopalatine canal
SHED Stem Cells: Antibacterial and Immunomodulatory Insights
SHED- Stem cells extracted from exfoliated teeth - resource for Stem Cell based regenerative therapy; multipotent in nature
We examined explored how SHED affects the growth of common oral bacteria, Streptococcus mutans and Enterococcus faecalis, and their role in regulating immune response
Non-Traditional Presenting Grade II Brain Meningioma: A Case Study
Meningioma is a relatively common form of cancer, occurring in approximately 97 out of 100,000 individuals. Although it arises from the meninges surrounding the central nervous system (CNS) rather than from neurons, it is classified with CNS tumors due to overlapping symptoms caused by compression of nerves and vessels in the head. Extracranial metastasis is rare, at less than 1%, and correlates with reduced survival rates
Quality of Life in Orthodontics
Orthodontic treatment goes beyond mere cosmetic enhancement; it significantly impacts various aspects of an individual\u27s quality of life. Beyond the physical benefits of improved oral function and prevention of dental issues, orthodontics also yields profound psychological benefits. Aligned teeth enhance self-confidence, reduce social anxiety, and contribute to better relationships and professional opportunities. Moreover, addressing dental concerns through orthodontic treatment reduces psychological distress and promotes overall happiness and satisfaction. Real-life case studies vividly illustrate the transformative effects of orthodontic interventions, emphasizing the importance of considering quality of life outcomes in dental care
In silico identification of small molecule agonist binding sites on KCC2
Purpose: Potassium-Chloride Cotransporter 2 (KCC2) is a neuronal membrane protein specific to the central nervous system. It is responsible for removing Cl- ions from the intracellular space, maintaining a normal Cl- gradient essential for proper function at inhibitory synapses. Dysregulation causes an upward shift in the Cl- reversal potential resulting in a hyperexcitable state of the postsynaptic neuron. Existing literature indicates that KCC2 may be involved in the addiction pathway of a variety of drugs of abuse, including opioids and alcohol. This makes KCC2 an attractive potential drug target when treating substance use disorders. A novel direct KCC2 agonist, VU0500469, was recently identified experimentally; however, no binding sites were identified or characterized. The goal of this project is to identify likely binding sites of this protein-ligand pair via computer simulation.
Methods: A 3D model of human KCC2 was obtained from RCSB Protein Databank. VU0500469 was reconstructed manually. Protein-ligand computational simulations were run using AutoDock Tools and AutoDock Vina, GNINA, and P2Rank to identify direct interactions between VU0500469, and KCC2.
Results: Results between simulations were then compared, and several possible VU0500469 binding pocket sites were successfully identified. We plan to further investigate molecular binding dynamics using CHARMM.
Conclusion: The binding sites identified may represent targets for the development of additional KCC2 agonists
Evaluation of Novel Therapeutic Agents for the Treatment of Chronic Dry Eyes
Dry eye disease (DED) is a multifactorial ocular condition, where disrupted tear film stability and ocular surface inflammation affected between 5% to 34% of the worldwide population in 2015 and posed a challenge to conventional ophthalmic treatments. Recent advances have led to potential novel therapeutics aiming to alleviate symptoms and improve patient outcomes
Unveiling the dynamics: Comparing drug release and cell viability of Advanced-Plate Rich Fibrin(A-PRF) and Titanium prepared Platelet rich Fibrin(T-PRF) both loaded with simvastatin - An in-vitro study
Autologous Platelet rich fibrin (PRF) has gained clinical significance in recent years for regeneration procedures. Advanced approaches, including the combination of PRF with drugs (simvastatin) that up regulate intrinsic bone growth factors that improve periodontal regeneration are of great interest. The aim of the study was to compare the drug release kinetics & cell viability analysis of simvastatin loaded A-PRF versus T-PRF and which one can be used as a potential carrier for simvastatin in terms of sustained release