In vitro comparison to study the antimicrobial effect of silver nanoparticles gel and its various combinants as an intracanal medicament against Enterococcus faecalis.

Background: Endodontic infections have been clearly described as biofilm-mediated infections. Bacteria and their by-products have been known to cause these infections. With the introduction of new drugs and the use of nanoparticles in recent times, there has been a significant reduction in the bacterial load in endodontic infections. Aims and Objectives: The in vitro study focuses on checking the antibacterial efficacy of silver nanoparticles and its combination with other medicaments against the root canal pathogen - Enterococcus faecalis (E. faecalis). Methodology: In the present study, 140 extracted human teeth were used. The teeth were sectioned, and biomechanical preparation was done. The root canals of the extracted teeth were inoculated with the culture of E. faecalis. The teeth were divided into six groups based on the intracanal medicament used: Group 1 - Silver nanocure gelGroup 2 - Silver nanocure gel + Cavisept gel (1:1)Group 3 - Silver nanocure gel + Aveu-Cal gel (1:1)Group 4 - Silver nanocure gel + Cavisept gel + Aveu-Cal gel (1:1:1)Group 5 - Positive control (specimens were inoculated with Enterococcus faecalis and left untreated to confirm the presence of infection)Group 6 - Negative control (no bacterial contamination of specimens). The colony-forming units were recorded after 48 h of incubation. Results: The statistical analysis of the colony-forming units was done using the Kruskal-Wallis tests. Silver nanocure gel + Cavisept gel + Aveu-Cal gel (1:1:1) showed the least colony-forming units. Conclusion: The present study is an in vitro study, in which we concluded that the combination of all the intracanal medicaments is the best for the elimination of E. faecalis biofilm from the root canal. The above findings need to be tested in vivo also.

Comparative evaluation of cleaning efficiency of single file NiTi rotary system during root canal treatment procedure - A scanning electron microscope study.

Background: Optimal biomechanical preparation, thorough irrigation, proper disinfection, and finally, well-sealed obturation is a must to attain definitive success in root canal procedure. Proper preparation of the root canal is all the more imperative to establish a hermetic apical seal with adequately placed filling materials. The present study was conducted for comparing the Cleaning Efficiency of F360 system and the WaveOne Gold (WOG) system of rotary NiTi instrumentation for a root canal. Materials and Methods: One hundred freshly extracted noncarious mandibular canines were obtained. Access cavity of standard size was made followed by the establishment of working length. Afterward, random division of all the specimens was done into two study groups: group A: the group in which F360 system was used for instrumentation and group B: the group in which the WOG system was used for instrumentation. Irrigations of all the specimens of both the study groups were done followed by root canal shaping by the instrument system of their respective study groups. Scanning electron microscope (SEM) was used for assessment after specimens were cut buccolingually. Debris score and residual smear layer score were used for assessment. Results: Among group A specimens, the mean smear layer score at the coronal third, middle third, and apical third was 1.76, 2.39, and 2.65, respectively. Among group B specimens, the mean smear layer score at the coronal third, middle third, and apical third was 1.34, 1.59, and 1.92, respectively. While analyzing statistically, it was seen that the mean smear layer score was significantly higher among specimens of group A in comparison to group B. While analyzing statistically, it was seen that the mean debris score was significantly higher among specimens of group A in comparison to group B. Conclusion: The cleaning effectiveness of WOG instruments was significantly enhanced in comparison to F360 equipment.

Effect of different irrigants on the push-out bond strength of biodentine and TheraCal LC when used for perforation repair in simulated condition.

Background: Perforation repair materials should have excellent sealing ability and dislodgement resistance. While several materials have been employed for perforation repair, newer calcium-silicate materials, such as Biodentine and TheraCal LC, have shown promising outcomes. Aims: This study aimed to evaluate the effect of different irrigants on the dislodgement resistance of Biodentine and TheraCal LC when used for perforation repair in simulated conditions. Methods and Material: 3% sodium hypochlorite, 2% chlorhexidine gluconate, and 17% EDTA were evaluated for their effect on the dislodgement resistance of Biodentine and TheraCal LC. 48 permanent mandibular molars were selected for the study. The samples were divided into two groups: Group I - Biodentine and Group II - TheraCal LC, with 24 samples each. Statistical Analysis: The mean dislodgement resistance and standard deviation of Group I (Biodentine) and Group II (TheraCal LC) were compared and Failure pattern analysis was done. Results: Biodentine showed a significant decrease in push-out bond strength after contact with 3% NaOCl, 2% CHX, and 17% EDTA whereas, TheraCal LC showed no significant decrease in push-out bond strength after exposure to 3% NaOCl, 2% CHX, and 17% EDTA. Conclusions: Overall, TheraCal LC can be considered good perforation repair material with excellent physical and biological properties.

Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda.

Artificial intelligence can assist providers in a variety of patient care and intelligent health systems. Artificial intelligence techniques ranging from machine learning to deep learning are prevalent in healthcare for disease diagnosis, drug discovery, and patient risk identification. Numerous medical data sources are required to perfectly diagnose diseases using artificial intelligence techniques, such as ultrasound, magnetic resonance imaging, mammography, genomics, computed tomography scan, etc. Furthermore, artificial intelligence primarily enhanced the infirmary experience and sped up preparing patients to continue their rehabilitation at home. This article covers the comprehensive survey based on artificial intelligence techniques to diagnose numerous diseases such as Alzheimer, cancer, diabetes, chronic heart disease, tuberculosis, stroke and cerebrovascular, hypertension, skin, and liver disease. We conducted an extensive survey including the used medical imaging dataset and their feature extraction and classification process for predictions. Preferred reporting items for systematic reviews and Meta-Analysis guidelines are used to select the articles published up to October 2020 on the Web of Science, Scopus, Google Scholar, PubMed, Excerpta Medical Database, and Psychology Information for early prediction of distinct kinds of diseases using artificial intelligence-based techniques. Based on the study of different articles on disease diagnosis, the results are also compared using various quality parameters such as prediction rate, accuracy, sensitivity, specificity, the area under curve precision, recall, and F1-score.

Dentinal defects after root canal preparation with rotary nickel-titanium files using different irrigants: An in vitro study.

Aim: This in vitro study aims to detect the dentinal defects associated with different irrigants during biomechanical preparation using rotary nickel-titanium (Ni-Ti) files (Hyflex CM). Materials and Methods: For the study, 120 extracted mandibular incisors were taken. Depending on the irrigant used, teeth were divided into six groups (n = 20). In Group 1, teeth were not biomechanically prepared considered as, control group. In Group 2, Group 3, Group 4, Group 5, and Group 6, biomechanical preparation was with Hyflex CM rotary Ni-Ti files using saline, 3% sodium hypochlorite (NaOCl), 17% ethylenediaminetetraacetic acid (EDTA), SmearClear, and 2% chlorhexidine (CHX), respectively, as irrigant. IsoMet Saw was used to section samples at 3, 6, and 9 mm from the apex perpendicular to the long axis of tooth. Segments were seen at 30x magnification under a digital stereomicroscope. Statistical Analysis: Statistical analysis was done using two-tailed t-test. Results: Maximum number of dentinal defects was seen with 17% EDTA, followed by 3% NaOCl, SmearClear, and 2% CHX. Conclusions: Irrigation with 17% EDTA causes more dentinal defects as compared to irrigation with 3% NaOCl, SmearClear, and 2% CHX.

A Systematic Review of Artificial Intelligence Techniques in Cancer Prediction and Diagnosis.

Artificial intelligence has aided in the advancement of healthcare research. The availability of open-source healthcare statistics has prompted researchers to create applications that aid cancer detection and prognosis. Deep learning and machine learning models provide a reliable, rapid, and effective solution to deal with such challenging diseases in these circumstances. PRISMA guidelines had been used to select the articles published on the web of science, EBSCO, and EMBASE between 2009 and 2021. In this study, we performed an efficient search and included the research articles that employed AI-based learning approaches for cancer prediction. A total of 185 papers are considered impactful for cancer prediction using conventional machine and deep learning-based classifications. In addition, the survey also deliberated the work done by the different researchers and highlighted the limitations of the existing literature, and performed the comparison using various parameters such as prediction rate, accuracy, sensitivity, specificity, dice score, detection rate, area undercover, precision, recall, and F1-score. Five investigations have been designed, and solutions to those were explored. Although multiple techniques recommended in the literature have achieved great prediction results, still cancer mortality has not been reduced. Thus, more extensive research to deal with the challenges in the area of cancer prediction is required.

An in vitro determination of antibacterial effect of silver nanoparticles gel as an intracanal medicament in combination with other medicaments against Enterococcus fecalis.

AIM: The main aim of the study is to compare the antibacterial effect of Silver nanoparticle gel alone and combination of silver nanoparticle gel with various medicaments. MATERIALS AND METHODS: Intracanal dressings: Group 1 -Silver Nanocure gel, Group 2 - Silver Nanocure gel+ Cavisept gel(1:1),Group 3- Silver Nanocure gel+ Aveu-Cal gel(1:1) ,Group 4 - Silver Nanocure gel +Cavisept gel +Aveu-Cal gel(1:1:1) were taken on a culture plate inoculated with E.faecalis. Antibacterial activity was assessed using Agar diffusion test and results were noted as diameter of growth inhibition zone. STATISTICAL ANALYSIS: Student t -test was used to analyse results. RESULTS: The diameter of combination of Silver nanocure gel+Cavisept +Aveu-Cal gel(1:1:1) was highest in comparison to other medicaments tested. CONCLUSION: Intracanal dressing with a combination of all the three {Silver nanocure gel+Cavisept +Aveu-Cal gel(1:1:1) } is the best treatment for elimination of highly resistant Enterococcus faecalis in root canals.

Incidence of dentinal defects during root canal preparation with hand files using different irrigants: An in vitro study.

INTRODUCTION: The purpose of this in vitro study was to compare the incidence of dentinal defects during root canal preparation with hand files using different irrigants. MATERIALS AND METHODS: A total of 120 extracted mandibular incisors were randomly divided into onecontrol group and five experimental groups (n = 20) depending on the irrigant used. Biomechanical preparation was not done in control group. Teeth in experimental groups were prepared with hand K-files to a master apical file #35 with 1-mm increments step-back up to #50. In Group 2, saline was used as an irrigant. In Groups 3, 4, 5, and 6, 3% sodium hypochlorite (NaOCL), SmearClear, 17% ethylenediaminetetraacetic acid (EDTA), and 2% chlorhexidine (CHX), respectively, were used as an irrigant. Specimens were sectioned perpendicular to the long axis at 3, 6, and 9 mm from the apex. Sections were observed under a digital stereomicroscope at 30× magnification. Two-tailed t-test was used for statistical analysis. RESULTS: There was a statistically significant difference between the six groups. Group 5 (17% EDTA) had the highest number of dentinal defects, followed by Group 3 (3% NaOCl), Group 4 (SmearClear), and Group 6 (2% CHX). CONCLUSIONS: 17% EDTA causes more dentinal defects as compared to 3% NaOCl, SmearClear, 2% CHX, and saline.

Comparative evaluation of traditional and self-priming hydrophilic resin.

BACKGROUND: The purpose of this study was to compare the microleakage of traditional composite (Charisma/Gluma Comfort Bond) and self-priming resin (Embrace Wetbond). MATERIALS AND METHODS: Standardized Class V cavities partly in enamel and cementum were prepared in 20 extracted human premolars. Teeth were divided into two groups. Group 1 was restored with Charisma/Gluma Comfort Bond and Group 2 with Embrace Wetbond. The specimens were stored in distilled water at room temperature for 24 h and then subjected to 200 thermocycles at 5°C and 55°C with a 1 min dwell time. After thermocycling teeth were immersed in a 0.2% solution of methylene blue dye for 24 h. Teeth were sectioned vertically approximately midway through the facial and lingual surfaces using a diamond saw blade. Microleakage was evaluated at enamel and cementum surfaces using 10 × stereomicroscope. The statistical analysis was performed using Wilcoxon signed-rank test. RESULTS: Wetbond showed less microleakage at occlusal and gingival margins as compared with Charisma/Gluma Comfort Bond and the results were statistically significant (P < 0.05). CONCLUSION: Class V cavities restored with Embrace Wetbond with fewer steps and fewer materials offers greater protection against microleakage at the tooth restorative interface.

VPAC1 is a cellular neuroendocrine receptor expressed on T cells that actively facilitates productive HIV-1 infection.

OBJECTIVE: A lack of productive HIV-1 infection of Kit225 compared to Jurkat T cells, despite similar levels of CD4 and HIV-1 chemokine co-receptors, was found to correlate with the expression of vasoactive intestinal peptide/pituitary adenylate cyclase activating polypeptide receptor-1 (VPAC1). We therefore examined a role for this seven-transmembrane G protein-coupled neuroendocrine receptor in modulating HIV-1 infection. METHODS: Reverse transcription-PCR was used to show the level of VPAC1 expression in different T-cell lines. A signal-blocking antibody to VPAC1 was used to examine its inhibiting effect on HIV-1 infection. Transfection of VPAC1 cDNA in both sense and anti-sense orientation was used to assess the role of VPAC1 in HIV-1 infection. HIV-1 infection was monitored by gag p24 ELISA using HIV-1IIIB or by luciferase activity using pseudo envelope-typed HXB2-NL4-3-luciferase. Analysis of HIV-1 gag DNA and 2-LTR circles was utilized to examine a possible mechanism for the effect of VPAC1. RESULTS: Using VPAC1 signal blocking antibody, we showed that up to 80% of productive infection with HIV-1IIIB was inhibited. We also demonstrated that HIV-1 gp120 has sequence similarity to the natural ligand for VPAC1 and postulate that it can activate this receptor directly. Transfection of VPAC1 cDNA in the anti-sense orientation resulted in a significant loss, up to 50% of productive infection. In contrast, transfection of cells with VPAC1 in the sense orientation increased the productive infection by more than 15-fold and caused a profound increase in syncytium formation. Furthermore, stimulation of VPAC1 on primary cells facilitated in vitro infection with HIV-1 HXB2-NL4-3. Analysis of HIV-1 gag DNA indicated that VPAC1 does not affect viral entry; however, cells that show negligible expression of VPAC1 may not be productively infected as indicated by a lack of 2-LTR circle formation. CONCLUSION: We have discovered a cellular receptor, VPAC1, that is a novel and potent facilitator of HIV-1 infection and thus, is a potentially important new target for therapeutic intervention.