HyperAttention and Linformer-Based ß-catenin Sequence Prediction For Bone Formation.

Introduction Beta (ß)-catenin, a pivotal protein in bone development and homeostasis, is implicated in various bone disorders. Peptide-based therapeutics offer a promising approach due to their specificity and potential for reduced side effects. Attention networks are widely used for peptide sequence prediction, specifically sequence-to-sequence models. Hence, the current study aims to develop a HyperAttention and informatics-based ß-catenin sequence prediction for bone formation. Methods ß-catenin protein sequences were downloaded and quality-checked using UniProt and FASTA sequences using DeepBio (Deep Bio Inc., Seoul, South Korea) for predictive analysis. Data was analyzed for duplicates, outliers, and missing values. The data was then split into training and testing sets, with 80% of the data used for training and 20% for testing, and peptide sequences were encoded and subjected to algorithms. Results The HyperAttention and Linformer models perform well in predictive sequence, with HyperAttention correctly predicting 87% of instances and Linformer predicting 89%. Both models have higher sensitivity and specificity, with Linformer showing better identification of 91% of negative instances and slightly better sensitivity. Conclusion The HyperAttention and Linformer models effectively predict peptide sequences with high specificity and sensitivity. Further optimization and development are needed for optimal application and balance between positive and negative instances.

Hydroxyapatite synthesis and characterization from marine sources: A comparative study.

Background: Hydroxyapatite (HAP) is a biocompatible material widely used in biomedical applications. Recent studies have explored various marine sources for HAP synthesis, demonstrating its potential for diverse applications. Objective: This study aims to compare the characteristics of hydroxyapatite synthesized from sea shells and fish bones, specifically from the shells of Scylla olivacea (orange mud crab) and bones of Eleutheronema tetradactylum (fourfinger threadfin). Materials & methods: HAP was synthesized from Scylla olivacea shells and Eleutheronema tetradactylum bones. The synthesized HAP underwent comprehensive characterization, including scanning electron microscopy (SEM) for structural analysis, hemocompatibility testing, antibacterial assays, and energy-dispersive X-ray spectroscopy (EDS) analysis. Results: SEM revealed a complex structure of HAP with a clustered arrangement and biofilm-like features. HAP derived from crab shells exhibited superior structural properties compared to that from fish bones. Both sources demonstrated good hemocompatibility, essential for biomedical applications. The antibacterial assays indicated effective antibacterial properties for both HAP sources, with crab shell-derived HAP showing slightly better performance. EDS analysis confirmed the presence of key elements necessary for HAP, with a consistent composition in both sources. Conclusion: Our study concludes that hydroxyapatite derived from Scylla olivacea shells exhibits superior properties compared to that from Eleutheronema tetradactylum bones. This research establishes a precedent for future investigations into other marine species, thereby broadening the scope and potential of hydroxyapatite synthesis from natural sources.

Optimizing Desmostachya bipinnata-derived platinum nanoparticles for enhanced antibacterial and biofilm reduction.

This study presents the green synthesis and comprehensive characterization of platinum nanoparticles (PtNPs) using Desmostachya bipinnata (Db) extract, incorporated into two innovative mouthwash formulations (MW1 and MW2). UV-Vis spectroscopy confirmed the successful synthesis of PtNPs, with distinct absorption peaks between 250 and 600 nm. Fourier-transform infrared (FTIR) spectroscopy identified hydroxyl and carbonyl functional groups, critical for the bioreduction and stabilization of PtNPs. High-resolution transmission electron microscopy (HR-TEM) revealed uniformly dispersed, spherical nanoparticles with a size range of 10-20 nm, while dynamic light scattering (DLS) confirmed a hydrodynamic diameter of 10-30 nm and a low polydispersity index (PDI) of 0.238, indicating excellent stability. Both formulations exhibited robust antimicrobial, antibiofilm, and anti-plaque properties, with MW2 showing superior efficacy, particularly against Staphylococcus aureus and Escherichia coli, as well as a notable 70 % reduction in biofilm formation and a 60 % plaque reduction within 2 h of treatment. The study underscores the potential of Desmostachya bipinnata-derived PtNPs as a promising alternative to conventional mouthwash, offering enhanced antimicrobial efficacy, biofilm disruption, and plaque prevention, alongside excellent stability and biocompatibility for oral healthcare applications.

Fluoride Concentrations in Different Brands of Toothpaste Marketed in Saudi Arabia.

OBJECTIVES: This study aimed to evaluate the concentrations of total fluoride (TF), total soluble fluoride (TSF) and ionic fluoride (IF) in various toothpaste brands marketed in Saudi Arabia and compare them with the labelled values. METHODS: Twenty toothpaste brands were randomly selected from supermarkets and hypermarkets in Riyadh, Saudi Arabia. For each brand, two samples from different production batches were purchased and labelled as sample 1 and sample 2. TF and TSF were determined chemically, while IF was measured with fluoride electrodes. The measured fluoride concentrations were compared with the labelled values and the recommended 1000-1500 ppm range for effective caries prevention. RESULTS: In total, 40 toothpaste samples were analysed (20 from each of two batches). For TF, six toothpastes in sample 1 exceeded the standard limit of 1500 ppm, with a range of 2102-2462 ppm, while nine in sample 2 surpassed the limit, ranging from 1538 to 1846 ppm. Conversely, eight toothpastes in sample 1 and two in sample 2 were below the minimum recommended level of 1000 ppm, with ranges of 308-923 ppm and 615-923 ppm, respectively. The TSF ranged from 924 to 2157 ppm in sample 1 and 923-2154 ppm in sample 2. The IF varied from 615 to 2462 ppm in sample 1 and 308-2154 ppm in sample 2. CONCLUSIONS: Most toothpaste brands had fluoride levels within the recommended concentration range. However, a significant number exhibited fluoride levels either below the minimum effective dose or exceeding the maximum recommended limit. Fluoride variance in toothpaste demands awareness for dentists and public health to guide optimal caries prevention.

Restoring Enamel Strength: A Knoop Hardness Number Evaluation of Remineralizing Toothpastes.

Aim This investigation compares and assesses the microhardness of human dental enamel after the use of two types of widely available remineralizing toothpaste. Methodology Thirty extracted anterior incisors were chosen as study samples and split into three groups: Control (Group 1), Enafix (EX-Group 2), and Sensodyne Repair (SR-Group 3). All of the sample groups were assessed using a Knoop indenter at baseline, after demineralization, and then again after remineralization. Then, to compare the outcomes for the variation in Knoop hardness, a one-way analysis of variance (ANOVA) was employed. Results The Control group exhibited the highest mean microhardness (472.00±17.783), indicating superior enamel integrity and the least variability. The EX group showed a lower mean microhardness of 340.40±40.368, demonstrating effective remineralization but with greater variability. Statistical analysis using ANOVA revealed highly significant differences between the groups, with an F-statistic of 104.292 and a p-value of 0.000, indicating that the variations in microhardness among the groups were statistically significant. Conclusion Both SR and EX toothpaste can effectively help dental enamel regain its hardness and remineralization following demineralization with slightly superior activity from EX.

Interactions of Acetyl-11-Keto-Beta-Boswellic Acid on Catechol-O-Methyltransferase in the Management of Masticatory Myofascial Pain Syndrome.

BACKGROUND: Masticatory myofascial pain syndrome (MMPS) is a soft tissue inflammatory disorder that leads to acute or chronic localized pain and stiffness in the muscles. Catechol-O-methyltransferase (COMT) plays a crucial role in mediating pain perceptions in humans by transferring methyl groups to catecholamines. This process requires adequate S-adenosyl methionine (SAMe). A reduction in SAMe leads to COMT inhibition. Boswellia serrata possesses multiple therapeutic benefits and is used for treating chronic pain. AIM: The study aimed to evaluate the therapeutic potential of acetyl-11-keto-beta-boswellic acid (AKBA) by targeting COMT. Methodology: Molecular docking and dynamic simulations were conducted using Desmond software from Schrödinger LLC, USA, to evaluate the interaction between COMT protein and AKBA ligands. The COMT protein structure was sourced from the Protein Data Bank and preprocessed using optimized potentials for liquid simulations. Molecular docking identified potential binding sites between COMT and AKBA through hydrogen bonding, resulting in a docking score of -6.0 kcal/mol. RESULTS: The molecular docking revealed a docking score of -6.0 kcal/mol for the interaction between COMT and AKBA. The dynamic simulation demonstrated that the COMT-AKBA complex remained stable within a 3.0 Angstrom range over 60 nanoseconds. These findings indicate stable natural small molecular interactions between COMT and AKBA. CONCLUSION: AKBA exhibits potential as a therapeutic agent for MMPS, demonstrating stable interactions with COMT. These findings warrant further in vitro and in vivo analyses to confirm efficacy.

Comparative Quantification of Fungiform Papillae Density and Taste Perception in Anemic and Healthy Controls: A Case-Control Study.

Background Taste perception is crucial for dietary choices, nutrition, and overall health. The human tongue, particularly the fungiform papillae, plays a significant role in taste sensation, especially for sweet and umami flavors. Anemia, a common condition characterized by low hemoglobin levels, can affect sensory perception, including taste. Recent research has begun to explore the relationship between fungiform papillae density and taste perception in individuals with anemia. Objective This study aimed to investigate the comparative quantification of fungiform papillae density and its correlation with taste perception in anemic and healthy individuals, with the goal of understanding the underlying mechanisms linking anemia to taste disturbances. Methods A total of 100 adults (50 anemic and 50 healthy controls) aged 18-65 participated in the study. Demographic data, dietary habits, and medical history were collected. Taste perception was assessed using a taste strip test and psychophysical scaling methods, including magnitude estimation and the method of constant stimuli. Fungiform papillae density was quantified using high-resolution images of the tongue. Statistical analyses, including t-tests and correlation analyses, were conducted to compare the groups and explore relationships between hemoglobin levels, papillae density, and taste perception. Results The study found that anemic individuals had a slightly lower mean fungiform papillae density (49 papillae per square centimeter) compared to healthy controls (57 papillae per square centimeter). In the taste strip test, anemic participants showed reduced accuracy in taste perception, particularly for bitter flavors. However, psychophysical scaling results, as measured by magnitude estimation, revealed no statistically significant difference in subjective taste intensity between the anemic and healthy control groups (p=0.8666). Conclusion The study suggests that while anemic individuals may exhibit reduced fungiform papillae density and altered taste perception, particularly for bitter flavors, the overall subjective perception of taste intensity does not significantly differ from that of healthy controls. These findings contribute to the understanding of taste disturbances in anemia and may inform future diagnostic and therapeutic approaches for managing taste disorders in affected individuals.

Variational Autoencoders for Generative Drug-Gene Interactions in Periodontal Bone Resorption.

Introduction Periodontal bone resorption is a significant dental problem causing tooth loss and impaired oral function. It is influenced by factors such as bacterial plaque, genetic predisposition, smoking, systemic diseases, medications, hormonal changes, and poor oral hygiene. This condition disrupts bone remodeling, favoring resorptive processes. Variational autoencoders (VAEs) can learn the distribution of drug-gene interactions from existing data, identify potential drug targets, and predict therapeutic effects. This study investigates the generation of drug-gene interactions in periodontal bone resorption using VAEs. Methods A bone resorptive drugs dataset was retrieved from Probes and Drugs and analyzed using Cytoscape (https://cytoscape.org/) and CytoHubba (https://apps.cytoscape.org/apps/cytohubba), powerful tools for studying drug-gene interactions in bone resorption. The dataset was then prepared for matrix representation, with normalized input data. It was subsequently divided into training, validation, and testing sets. We then built an encoder-decoder network, defined a loss function, optimized parameters, and fine-tuned hyperparameters. Using VAEs, we generated new drug-gene interactions, assessed model performance, and visualized the latent space with reconstructed drug-gene interactions for further insights. Results The analysis revealed the top hub genes in drug-gene interactions, including Matrix Metalloproteinase (MMP) 14, MMP 9, HIF1A, STAT1, MAPT, CAS9, MMP2, CASP3, MMP1, and MAK1. The VAE's reconstruction accuracy was measured using mean squared error (MSE), with an average squared difference of 0.077. Additionally, the KL divergence value was 2.349, and the average reconstruction log-likelihood was -246. Conclusion The generative variational encoder model for drug-gene interactions in bone resorption demonstrates high accuracy and reliability in representing complex drug-gene relationships within this context.

Potential of salivary biomarkers for diagnosing and prognosing rheumatoid arthritis: A systematic review and meta-analysis: Salivary biomarkers in Rheumatoid Arthritis patients - A systematic review with Meta-analysis.

BACKGROUND: Rheumatoid arthritis (RA) is a chronic debilitating autoimmune disorder. Blood biomarkers, like rheumatoid factor (RF) and anti-citrullinated protein antibodies (ACPAs), lack the sensitivity and specificity for early diagnosis, delaying treatment. This review while highlighting the need for new diagnostic tools, emphasizes the promising avenue of saliva for developing RA biomarkers. OBJECTIVE: This systematic review and meta-analysis assess the effectiveness of salivary biomarkers in the diagnosis and prognosis of RA, examining current evidence and proposing avenues for future research. METHODOLOGY: A literature review following PRISMA 2021 guidelines was conducted using PubMed, Scopus, Web of Science, and Google Scholar to identify studies from the past five years on salivary biomarkers in RA patients compared to healthy controls. RESULT: The review focused on original research articles, and meta-analysis was performed on studies reporting standard deviation values for inflammatory markers such as IL-6, IL-8, MMP-8, and TNF-alpha. The meta-analysis included eleven studies with 394 RA patients and 255 healthy controls, evaluating IL-8, IL-6, MMP-8, and TNF-α as RA biomarkers. IL-8 showed a mean difference of 7.32 (CI: -5.48 to 20.13), not statistically significant, favouring controls. IL-6 had a CI of -0.09 (CI: -2.20 to 2.02) with high heterogeneity (I² = 98%), suggesting its potential as a diagnostic and prognostic biomarker. TNF-α and MMP-8 showed no significant differences (CIs: 4.54 and 2.71, respectively). CONCLUSION: This systematic review and meta-analysis emphasize saliva's potential in identifying RA biomarkers, especially IL-6, which is associated with the disease's pathogenesis. However, significant evidence heterogeneity necessitates larger, multicentric studies for validation.

Validation of Age Estimation Using the Compositional Variation of Dental Hard Tissue: An X-ray Diffraction Analysis.

Introduction X-rays and X-ray diffraction (XRD) are two non-destructive techniques that determine a material's crystallographic structure, chemical composition, and physical properties. They can also be used to estimate a person's age when it is unknown, assess the need for orthodontic treatment, or predict the likelihood of tooth decay. This research aims to validate the accuracy of age estimation through X-ray diffraction analysis of tooth hard tissue with compositional changes. Methodology Four tooth samples were analyzed using the Pan Analytical XRD (Malvern Panalytical Ltd., UK) unique d8 family platform, which uses Cu Kα radiation (0.154 nm) and a 0.02° scan rate from 0 to 80°. Results The angle of incidence (ω) is established between the sample and the X-ray source. The angle of diffraction, 2θ, is established between the detector and the incident beam. The detector angle 2θ and the incident angle ω always equal half. Inter-atomic distance, or d-spacing (D = 10^-8 cm in Angstrom units), is measured. A greater crystal size or a greater degree of crystallinity may be indicated by a higher peak intensity, which translates to an increased amount of atoms in the crystal. Conclusion The study's findings suggest that XRD is a promising new technique for age determination, as it has an advanced and dynamic approach to finding the crystallographic characteristics of the provided sample.

Phytochemical Targeting of Nerve Growth Factor by Thymoquinone and Cuscutin: A Molecular Dynamics Simulation Study.

Background Nerve growth factor (NGF) is a novel target of pain therapeutics for oral cancer, and it plays a main role in the nociception of chronic pain. Surgery, along with chemotherapy or radiotherapy, is the gold standard for treating patients, but the side effects are significant as well. Newer effective interventions with natural phytochemicals could improve patient compliance and enhance the quality of life among patients with oral cancer. A literature search revealed a positive correlation between NGF and oral cancer pain. Nigella sativa (N. sativa) and Cuscuta reflexa (C. reflexa) have proven anticancer effects, but their activity with NGF is unexplored. Aims and objectives We aimed to identify the potential phytochemicals in N. sativa and C. reflexa. We also checked the NGF-blocking activity of the phytochemicals. Molecular docking and molecular dynamic (MD) simulations evaluated the binding energy and stability between the NGF protein and selected phytochemical ligands. Materials and methods We obtained protein NGF structure from UniProt (ID: 4EDX, P01138, Beta-nerve growth factor), ligand (thymoquinone) structure using PubChem ID: 10281, and ligand (cuscutin) structure using PubChem ID: 66065. Maestro protein (Schrödinger Inc., Mannheim, Germany) was used for molecular docking. Desmond Simulation Package (Schrödinger Inc., Mannheim, Germany) was used to model MD for 100 nanoseconds (ns). We have assessed the interaction between the protein and ligands by root mean square deviation (RMSD) values.  Results The interaction of thymoquinone and cuscutin with NGF was assessed. While interacting with thymoquinone, there was mild fluctuation from 0.6 Å to 2.5 Å up to 80 ns and ended up at 4.8 Å up to 100 ns. While interacting with cuscutin, mild fluctuation was seen from 0.8 Å to 4.8 Å till 90 ns and ended at 6.4 Å up to 100 ns. We found a stable interaction between our drug combination and the NGF receptor. Conclusion We have identified a stable interaction between thymoquinone, cuscutin, and NGF by our MD simulations. Hence, it could be used as an NGF inhibitor for pain relief and to control tumor progression. Further in vitro and in vivo evaluations of this novel drug combination with phytochemicals will help us understand their biological activities and potential clinical applications in oral cancer therapeutics.

Weighted Gene Co-expression Network Analysis (WGCNA) of Wnt Signaling Related to Periodontal Ligament Formation: A Bioinformatics-Based Analysis.

Introduction The Wnt signaling pathway is crucial for tooth development, odontoblast differentiation, and dentin formation. It interacts with epithelial cadherin (E-cadherin) and beta-catenin in tooth development and periodontal ligament (PDL) formation. Dysregulation of Wnt signaling is linked to periodontal diseases, requiring an understanding of therapeutic interventions. Weighted gene co-expression network analysis (WGCNA) can identify co-expressed gene modules. Our study aims to identify hub genes in WGCNA analysis of Wnt signaling-based PDL formation. Methods The study used a microarray dataset GSE201313 from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus to analyze the impact of DMP1 expression on XLH dental pulp cell differentiation and PDL formation. The standardized dataset was used for WGCNA analysis, which generated a co-expression network by calculating pairwise correlations between genes and constructing an adjacency matrix. The topological overlap matrix (TOM) was transformed into a hierarchical clustering tree and then cut into modules or clusters of highly interconnected genes. The module eigengene (ME) was calculated for each module, and the genes within this module were identified as hub genes. Gene ontology (GO) and KEGG pathway enrichment analysis were performed to gain insights into the biological functions of the hub genes. The integrated Differential Expression and Pathway analysis (iDEP) tool (http://bioinformatics.sdstate.edu/idep/; South Dakota State University, Brookings, USA) was used for WGCNA analysis. Results The study used the WGCNA package to analyze 1,000 differentially expressed genes, constructing a gene co-expression network and generating a hierarchical clustering tree and TOM. The analysis reveals a scale-free topology fitting index R2 and mean connectivity for various soft threshold powers, with an R2 value of 5. COL6A1, MMP3, BGN, COL1A2, and FBN2 are hub genes implicated in PDL development. Conclusion The study identified key hub genes, including COL6A1, MMP3, BGN, and FBN2, crucial for PDL formation, tissue remodeling, and cell-matrix interactions, guiding future therapeutic strategies.

Understanding the spatial and topographic characteristics of enamel white spot lesions for targeted remineralization.

Introduction: White spot lesions are opaque, chalky white or yellowish discolorations on the surface of teeth that result from the demineralization of the tooth structure. Many methods, including SEM, XRD, and FTIR spectroscopy, are crucial for identifying and evaluating enamel white spot lesions. It is imperative to have a thorough grasp of the morphology, crystallographic structure, mineral composition, and chemical changes associated with enamel white spot lesions. Method: In vitro lesions were meticulously obtained by immersing extracted teeth in hydrochloric acid for a week and drying them using artificial caries. Characterization investigations were conducted with utmost precision and thoroughness using FTIR, XRD, and SEM, ensuring the reliability and validity of the results. Results: FTIR analysis revealed the existence of calcium oxide and hydroxyapatite, and SEM examination assisted in identifying differences in surface shape. The enamel's crystalline nature was revealed via XRD investigation. Conclusion: White spot lesions are associated with the development of deep caries. Advanced imaging strategies are needed for additional validation.

Weighted Gene Co-expression Network Analysis of the Inflammatory Wnt Signaling Reveals Biomarkers Related to Bone Formation.

Background and aim Osteocytes regulate bone metabolism and balance through various mechanisms, including the Wnt (Wingless-related integration site signal transduction) signaling pathway. Weighted gene co-expression network analysis (WGCNA) is a computational method to identify functionally related genes based on expression patterns, especially in the Wnt-beta-catenin and osteo-regenerative pathways. This study aims to analyze gene modules of the Wnt signaling pathway from WGCNA analysis. Methods The study used a microarray dataset from the GEO (GSE228306) to analyze differential gene expression in human primary monocytes. The study standardized datasets using Robust Multi-Array Average (RMA) expression measure and Integrated Differential Expression and Pathway (IDEP) analysis tool, building a co-expression network for group-specific component (GC) genes. Results The study uses WGCNA to identify co-expression modules with dysregulated mRNAs, revealing enrichment in Wnt-associated pathways and top hub-enriched genes like colony-stimulating factor 3 (CSF3), interleukin-6 (IL-6), IL-23 subunit alpha (IL23A), suppressor of cytokine signaling 1 (SOCS1), and C-C motif chemokine ligand 19 (CCL19). Conclusion WGCNA analysis of the Wnt signaling pathway will involve functional annotation, network visualization, validation, integration with other omics data, and addressing method limitations for better understanding.

AI-based 3D-QSAR model of FDA-approved repurposed drugs for inhibiting sclerostin.

BACKGROUND: Wnt activation promotes bone formation and prevents bone loss. The Wnt pathway antagonist sclerostin and additional anti-sclerostin antibodies were discovered as a result of the development of the monoclonal antibody romosozumab. These monoclonal antibodies greatly increase the risk of cardiac arrest. Three-dimensional quantitative structure-activity relationships (3D-QSAR) predicts biological activities of ligands based on their three-dimensional features by employing powerful chemometric investigations such as artificial neural networks (ANNs) and partial least squares (PLS). OBJECTIVE: In this study, ligand-receptor interactions were investigated using 3D-QSAR Comparative molecular field analysis (CoMFA). Estimates of steric and electrostatic characteristics in CoMFA are made using Lennard-Jones and Coulomb potentials. METHODS: To identify the conditions necessary for the activity of these molecules, fifty Food and Drug Administration (FDA)-approved medications were chosen for 3D-QSAR investigations and done by CoMFA. For QSAR analysis, there are numerous tools available. This study employed Open 3D-QSAR for analysis due to its simplicity of use and capacity to produce trustworthy results. Four tools were used for the analysis on this platform: Py-MolEdit, Py-ConfSearch, and Py-CoMFA. RESULTS: Maps that were generated were used to determine the screen's r2 (Coefficient of Multiple Determinations) value and q2 (correlation coefficient). These numbers must be fewer than 1, suggesting a good, trustworthy model. Cross-validated (q2) 0.532 and conventional (r2) correlation values of 0.969 made the CoMFA model statistically significant. The model showed that hydroxamic acid inhibitors are significantly more sensitive to the steric field than the electrostatic field (70%) (30%). This hypothesis states that steric (43.1%), electrostatic (26.4%), and hydrophobic (20.3%) qualities were important in the design of sclerostin inhibitors. CONCLUSION: With 3D-QSAR and CoMFA, statistically meaningful models were constructed to predict ligand inhibitory effects. The test set demonstrated the model's robustness. This research may aid in the development of more effective sclerostin inhibitors that are synthesised using FDA-approved medications.

Exploring the Antimicrobial Potential and Cytotoxic Effects of Different Brassica oleracea Varieties.

INTRODUCTION:  Dental caries has become a substantial global health burden, and many techniques have been used in dentistry to protect the tooth from decay. Brassica oleracea is a green cruciferous vegetable with a good source of vitamins C, K and E, which are also effective antibiotics and antioxidants. These characteristics will shield the oral cavity from pathogenic onslaught and can be considered during the formulation of antimicrobial mouthwash, toothpaste, or dental sealants. MATERIALS AND METHODS:  B. oleracea extract was prepared by heating and condensing the red and green cabbage. Both extracts were assessed for antimicrobial activity (antibacterial and antifungal activities) and cytotoxicity. After incubation, the zone of inhibition was calculated for antibacterial activity and the number of live nauplii for cytotoxicity.  Results: The extract from red cabbage was found to have more effective antibacterial properties than that from green cabbage. The red B. oleracea extract formed the highest zone of inhibition against Candida albicans (20 mm), followed by Enterococcus faecalis (15 mm) and Streptococcus mutans (9 mm). In contrast, the green cabbage extract formed the highest inhibition against E. faecalis (12 mm). The cytotoxicity increases with increased concentration, with the highest toxicity at 20 µL for both extracts.  Conclusion: The properties of B. oleracea can be utilized in dental products such as toothpaste, mouthwash, and dental sealants due to their antibacterial effects. By incorporating B. oleracea extracts into these products, oral health professionals may soon have additional tools to promote oral hygiene and prevent oral infections, offering a natural and effective alternative to traditional oral care ingredients.

In Vitro Analysis of Enamel Patterns Across Three Species Using Stereomicroscopy.

Background Dental enamel, the outermost layer of the tooth, stands as a unique and remarkable tissue that plays a crucial role in safeguarding teeth against various external factors. The examination and analysis of enamel rod end patterns on tooth surfaces, referred to as ameloglyphics, offer a promising avenue for dental identification and forensic investigations in forensic medicine, thereby enhancing the precision and reliability of forensic analyses. This paper aims to evaluate and compare the ameloglyphics of different species under a stereomicroscope. The species examined in this study include the beaver (genus Castor), fox (genus Vulpes), and human (Homo sapiens). Methods Teeth samples from each species (n = 3) were gathered from the tooth repository and examined under a stereomicroscope at various magnifications, both with and without graphite staining. Photographs were captured, and the enamel patterns were meticulously evaluated. Through the utilization of plot profiles, the enamel patterns of the different species were compared, and any discernible differences between them were carefully noted. Results The plot profiles of the three species were analyzed, revealing distinct characteristics. Specifically, it was observed that the plots of the genus Castor teeth and Homo sapiens teeth exhibited dispersed arrangements, whereas the plot profile of the genus Vulpes displayed a closely arranged pattern. Conclusions Within the confines of the current investigation, it can be inferred that every mammal exhibits a distinct and exclusive arrangement of enamel rods. Hence, the task of identifying a deceased individual through dental imprints may pose difficulties if the structural characteristics are not thoroughly comprehended.

Fabrication of Periodontal Membrane From Nelumbo nucifera: A Novel Approach for Dental Applications.

Background The periodontal membrane plays a crucial role in tooth support and maintenance. Natural materials with biocompatible and bioactive properties are of interest for periodontal membrane fabrication. Nelumbo nucifera, known for its therapeutic properties, presents a potential source for such materials. Aim This study aimed to fabricate a periodontal membrane from N. nucifera and evaluate its biocompatibility and potential for periodontal tissue regeneration. Materials and methods N. nucifera stems were collected dried, and aqueous extract was prepared. The extracted material was then processed into a membrane scaffold using a standardized fabrication method. The fabricated membrane was characterized by its physical and chemical properties. Biocompatibility was assessed using human periodontal ligament fibroblast (hPDLF) cells cultured on the membrane, followed by viability, proliferation, and anti-microbial assays. Results The fabricated N. nucifera membrane exhibited a porous structure with suitable mechanical properties for periodontal membrane application. The membrane supported the adhesion, viability, and proliferation of hPDLF cells in vitro. Conclusion The fabrication of a periodontal membrane from N. nucifera shows promise as a natural and biocompatible material for periodontal tissue regeneration. Further studies are warranted to explore its clinical potential in periodontal therapy.

Dental Anomalies: An Identification Marker in Forensics.

Aim This study aims to evaluate the non-morphological traits of the South Indian population. Introduction Dental morphological traits, also known as non-metric dental traits, exhibit variation in appearance both within and between groups. The study analyzed the non-metric traits among the South Indian population, as few variants can be grouped within the population.  Materials and methods A total of 500 extracted tooth samples were collected. The dental non-metric traits that were evaluated are the cusp of Carabelli (CC), Talon's cusp (TC), shoveled incisor (SI), peg-shaped lateral incisor (PL), protostylid (PR), Dryopithecus pattern groove (DP), hypoconulid (HY), parastyle (PA), multiple parastyle (MPA), paracone (PC), Bushman's canine (BC), interruption groove (IG), tuberculum dentale (TD), tuberculum intermedium (TI), radix entomolaris (RE), fusion (F), radiculous premolar (RP), dilaceration (D), dens evaginatus (DE), and enamel pearl (EP).  Results Out of 20 dental non-metric traits that were evaluated in the study, 14 traits were identified to be common within the population. The prevalence were as follows: cusp of Carabelli (52%), shoveled incisor (8.2%), peg-shaped lateral incisor (7.4%), parastyle (0.8%), multiple parastyle (0.2%), Bushman's canine (0.4%), interruption groove (2.2%), tuberculum intermedium (0.6%), radix entomolaris (39.6%), fusion (2.8%), radiculous premolar (0.2%), dilaceration (58.2%), dens evaginatus (1.2%), and enamel pearl (0.8%) among the South Indian population.  Conclusion The current study was discovered to have more Carabelli traits, shoveled incisors, radix entomolaris, and dilaceration than other non-metric features. This shows that these characteristics are more prevalent in the South Indian population, which could be one of the strategies used to validate human identification in a forensic context.

Isolation, Culture, and Characterization of Dental Pulp Stem Cells from Human Deciduous and Permanent Teeth.

In the realm of regenerative medicine and therapeutic applications, stem cell research is rapidly gaining traction. Dental pulp stem cells (DPSCs), which are present in both deciduous and permanent teeth, have emerged as a vital stem cell source due to their accessibility, adaptability, and innate differentiation capabilities. DPSCs offer a readily available and abundant reservoir of mesenchymal stem cells, showcasing impressive versatility and potential, particularly for regenerative purposes. Despite their promise, the main hurdle lies in effectively isolating and characterizing DPSCs, given their representation as a minute fraction within dental pulp cells. Equally crucial is the proper preservation of this invaluable cellular resource. The two predominant methods for DPSC isolation are enzymatic digestion (ED) and outgrowth from tissue explants (OG), often referred to as spontaneous growth. This protocol concentrates primarily on the enzymatic digestion approach for DPSC isolation, intricately detailing the steps encompassing extraction, in-lab processing, and cell preservation. Beyond extraction and preservation, the protocol delves into the differentiation prowess of DPSCs. Specifically, it outlines the procedures employed to induce these stem cells to differentiate into adipocytes, osteoblasts, and chondrocytes, showcasing their multipotent attributes. Subsequent utilization of colorimetric staining techniques facilitates accurate visualization and confirmation of successful differentiation, thereby validating the caliber and functionality of the isolated DPSCs. This comprehensive protocol functions as a blueprint encompassing the entire spectrum of dental pulp stem cell extraction, cultivation, preservation, and characterization. It underscores the substantial potential harbored by DPSCs, propelling forward stem cell exploration and holding promise for future regenerative and therapeutic breakthroughs.