3D-printed coloured tooth model for inlay preparation in pre-clinical dental education.

INTRODUCTION: Accurate inlay preparation is extremely important in pre-clinical training. However, there is a lack of tools to guide students to efficiently practise inlay preparation. Therefore, a 3D-printed coloured tooth model for inlay preparation was designed to guide beginners to practise inlay preparation by themselves according to different colour prompts. This study aimed to evaluate the benefits of using a 3D-printed coloured tooth model in the pre-clinical training on inlay preparation. MATERIALS AND METHODS: Twenty-eight students in their fourth-year undergraduate dental program participated in this study. The participants were randomly assigned to two groups for the inlay preparation. Group 1 prepared a plain tooth model for the first and fourth attempts and a 3D-printed coloured tooth model for the second and third attempts (n = 14). Group 2 prepared four plain tooth models (n = 14). The first and fourth tooth models prepared by both groups were scored using an evaluation system (Fair Grade 2000, NISSIN). Next, questionnaires answered by students were used to evaluate the benefits of using a 3D-printed coloured tooth model and self-evaluate hands-on ability using a grading system (1 = strongly agree, 2 = agree, 3 = neutral, 4 = disagree, and 5 = strongly disagree). The scores were evaluated statistically using the Mann-Whitney U test, and the given grades are displayed as percentages and mean values. RESULTS: There was an overall increase in the clinical confidence of all students after repeated attempts to prepare an inlay; however, students from group 1, who had used the 3D-printed coloured tooth model, had more positive experiences and comments. The 3D-printed coloured tooth model for inlay preparation has been widely praised by participants. Comparing the average score of the first and fourth preparations, the average score of group 1 increased by 12% (Ø 54.46 ± 8.33, Ø 61.11 ± 7.13, p = .090), while that of group 2 increased by 0.72% (Ø 56.39 ± 9.59, Ø 56.80 ± 8.46, p = .925). CONCLUSION: Students favoured the use of the 3D-printed coloured tooth model, and this improved the average score for inlay preparation. The 3D-printed coloured tooth model for inlay preparation is expected to play an important role in dental education in the future.

Experience of pediatric nurses in nursing dying children - a qualitative study.

PURPOSE: To explore pediatric nurses' challenges and effective coping strategies in caring for dying children. METHODS: A descriptive qualitative study was adopted. Data were collected using a semi-structured interview with ten nurses from the pediatric, pediatric emergency, and neonatology departments. RESULTS: Three themes were generated: stressors, consequences, and coping strategies. Ten sub-themes were generalized: negative emotions; helplessness; questioning rescue behavior; fear of communication; lack of workforce for night rescue; compassion fatigue; burnout; changes in life attitudes; self-regulation; leadership approval and no accountability. CONCLUSIONS: Through qualitative research, nurses' challenges and effective coping strategies in caring for dying children were found, which provides information for nurses' career development and related policy formulation in China. CLINICAL RELEVANCE: While there are many articles in China on hospice care, there is little research on the nurses' experience of caring for dying children. Many studies have mentioned the adverse consequences of caring for dying children in foreign countries, leading to post-traumatic stress disorder (PTSD). However, domestic discussion of such problems is rare, and no corresponding coping strategies exist. This study explores pediatric nurses' challenges and effective coping strategies in caring for dying children.

PHR1 positively regulates phosphate starvation-induced anthocyanin accumulation through direct upregulation of genes F3'H and LDOX in Arabidopsis.

MAIN CONCLUSION: Phosphate deficiency promotes anthocyanin accumulation in Arabidopsis through direct binding of PHR1 to the P1BS motifs on the promoters of F3'H and LDOX and thereby upregulating their expression. Phosphorus is one of the essential elements for plants, and plants mainly absorb inorganic phosphate (Pi) from soil. But Pi deficiency is a common factor limiting plant growth and development. Anthocyanin accumulation in green tissues (such as leaves) is one of the characteristics of many plants in response to Pi starvation. However, little is known about the mechanism by which Pi starvation induces anthocyanin accumulation. Here, we found that the mutation of the gene PHOSPHATE STARVATION RESPONSE1 (PHR1), which encodes a key factor involved in Pi starvation signaling in Arabidopsis, significantly attenuates anthocyanin accumulation under Pi-limiting conditions. Moreover, the expression of several Pi deficiency-upregulated genes that are involved in anthocyanin biosyntheses, such as flavanone 3'-hydroxylase (F3'H), dihydroflavonol 4-reductase (DFR), leucoanthocyanidin dioxygenase (LDOX), and production of anthocyanin pigment 1 (PAP1), was significantly lower in the phr1-1 mutant than in the wild type (WT). Both yeast one-hybrid (Y1H) analysis and chromatin immunoprecipitation quantitative PCR (ChIP-qPCR) showed that PHR1 can interact with the promoters of F3'H and LDOX, but not DFR and PAP1. By electrophoretic mobility shift assay (EMSA), it was further confirmed that the PHR1-binding sequence (P1BS) motifs located on the F3'H and LDOX promoters are required for the PHR1 bindings. Also, in Arabidopsis protoplasts, PHR1 enhanced the transcriptional activity of the F3'H and LDOX promoters, but these effects were markedly impaired when the P1BS motifs were mutated. Taken together, these results indicate that PHR1 positively regulates Pi starvation-induced anthocyanin accumulation in Arabidopsis, at least in part, by directly binding the P1BS motifs located on the promoters to upregulate the transcription of anthocyanin biosynthetic genes F3'H and LDOX.

Circ_0036412 affects the proliferation and cell cycle of hepatocellular carcinoma via hedgehog signaling pathway.

BACKGROUND: Hepatocellular carcinoma (HCC), as the most common type of liver cancer, is characterized by high recurrence and metastasis. Circular RNA (circRNA) circ_0036412 was selected for studying the underlying mechanisms of HCC. METHODS: Quantitative real time-polymerase chain reaction (qRT-PCR) and western blot analyzed gene and protein expression. Functional experiments evaluated HCC cell proliferation, apoptosis and cell cycle in vitro. In vivo experiments detected HCC carcinogenesis in vivo. Fluorescence in situ hybridization (FISH) assays evaluated the subcellular distribution. Luciferase reporter, Chromatin immunoprecipitation (ChIP), DNA pulldown, RNA-binding protein immunoprecipitation (RIP), and RNA pulldown assays detected the underlying mechanisms. RESULTS: Circ_0036412 is overexpressed in HCC cells and features circular structure. PRDM1 activates circ_0036412 transcription to regulate the proliferation and cell cycle of HCC cells in vitro. Circ_0036412 modulates Hedgehog pathway. GLI2 propels HCC growth in vivo. Circ_0036412 up-regulates GLI2 expression by competitively binding to miR-579-3p, thus promoting the proliferation and inhibiting cell cycle arrest of HCC cells. Circ_0036412 stabilizes GLI2 expression by recruiting ELAVL1. Circ_0036412 propels the proliferation and inhibits cell cycle arrest of HCC cells in vitro through Hedgehog pathway. CONCLUSIONS: Circ_0036412 affects the proliferation and cell cycle of HCC via Hedgehog signaling pathway. It offers an insight into the targeted therapies of HCC.

A Dual Functional Drug Delivery System that Combines Photothermal Therapy and Immunotherapy to Treat Tumors.

Cancer is one of the main diseases threatening human health. Immunotherapy, in which cancer is treated by activating immune cells and inducing the body's immune response, has rapidly developed. Photothermal therapy (PTT), a new treatment method that ablates tumors by light irradiation, has attracted great attention for its good therapeutic effect and low toxic side effects. In the present study, we combined photothermal and immunotherapy to design a novel nanoparticle delivery system by loading indoleamine 2,3-dioxygenase (IDO) inhibitors and toll-like receptor (TLR) agonists into polydopamine (PDA) nanoparticles coated with polyethylene imine (PEI). This delivery system has the advantages of high homogeneity, good stability, excellent biocompatibility, and low toxicity. In vitro antitumor studies showed that the system effectively inhibited the proliferation of mouse breast carcinoma cells and induced cell apoptosis. From the in vivo studies, we found that the system inhibited the growth of mouse breast carcinoma, facilitated the maturation of antigen-presenting cells, promoted T lymphocyte differentiation, and induced the body's immune response. The present study developed a dual functional drug delivery system combining photothermal therapy and immunotherapy to efficiently improve antitumor therapy with potential clinical application.

Exosomal miR-628-5p from M1 polarized macrophages hinders m6A modification of circFUT8 to suppress hepatocellular carcinoma progression.

BACKGROUND: Hepatocellular carcinoma (HCC) is the most common type of liver cancer. CircFUT8 has been shown to be upregulated in cancers, but its function in HCC remains unclear. Tumor-associated macrophages (TAMs) are one of the main components of the tumor microenvironment (TME), and M1 macrophages function as tumor suppressors in cancers. Exosomes exert an important role in the TME, and circRNAs can be modified by m6A. We investigated the function of circFUT8 in HCC and its interaction with exosomes, M1 macrophages, and m6A. METHODS: CircFUT8 expression was detected in HCC cells, and its effects on HCC cell growth were verified through functional assays. Mechanism assays including RNA pull down, RNA-binding protein immunoprecipitation (RIP), and luciferase reporter assays were undertaken to verify how circFUT8 may interact with miR-628-5p, and how these molecules may modulate HCC cell malignancy via interacting with exosomes and macrophages. RESULTS: CircFUT8 was upregulated in HCC cells and it accelerated HCC cell growth. Exosomes derived from M1 macrophages transferred miR-628-5p to HCC cells to inhibit human methyltransferase-like 14 (METTL14) expression. METTL14 promoted circFUT8 m6A modification and facilitated its nuclear export to the cytoplasm, where M1 macrophages regulated the circFUT8/miR-552-3p/CHMP4B pathway, thereby suppressing HCC progression. CONCLUSION: M1 macrophages-derived exosomal miR-628-5p inhibited the m6A modification of circFUT8, inhibiting HCC development.

Curriculum setting and students' feedback of pre-clinical training in different dental schools in China-A national-wide survey.

INTRODUCTION: Adequate time and effective training facilities are essential for undergraduate dental students participating in pre-clinical dental practice to ensure them providing safe treatment for patients in the future. The study aimed to explore the current status of pre-clinical dental training in China in relation to the curriculum setting and students' feedback of pre-clinical training in different dental schools and thus provide information for further standardise curricula. MATERIALS AND METHOD: An online questionnaire was distributed electronically to undergraduates in 44 Chinese dental schools of different levels according to China Discipline Ranking (CDR). The questionnaire collected information in relation to the training hour and student to facility ratio of four main dental courses (cariology and endodontics, periodontology, prosthodontics and oral surgery), as well as the application and effect of virtual reality (VR) simulator in pre-clinical dental practice in different schools. Students' feedback was also collected. RESULTS: A total of 565 valid questionnaires were recruited. Results of this cross-sectional survey show that training hour of periodontology course was the lowest, and oral surgery course showed most prominent shortage of facilities. The application of VR simulator amongst schools is uneven. Students from A and A+ level schools showed higher satisfaction with their pre-clinical courses and reported a more positive attitude towards the use of VR simulator than other students. (p < .05). CONCLUSION: Pre-clinical dental training in China remained imperfect in insufficient training time, training facility and students did not have access to standard pre-clinical training and quality assurance. VR technique has potential values in pre-clinical dental practice in China.

BioNorm: deep learning-based event normalization for the curation of reaction databases.

MOTIVATION: A biochemical reaction, bio-event, depicts the relationships between participating entities. Current text mining research has been focusing on identifying bio-events from scientific literature. However, rare efforts have been dedicated to normalize bio-events extracted from scientific literature with the entries in the curated reaction databases, which could disambiguate the events and further support interconnecting events into biologically meaningful and complete networks. RESULTS: In this paper, we propose BioNorm, a novel method of normalizing bio-events extracted from scientific literature to entries in the bio-molecular reaction database, e.g. IntAct. BioNorm considers event normalization as a paraphrase identification problem. It represents an entry as a natural language statement by combining multiple types of information contained in it. Then, it predicts the semantic similarity between the natural language statement and the statements mentioning events in scientific literature using a long short-term memory recurrent neural network (LSTM). An event will be normalized to the entry if the two statements are paraphrase. To the best of our knowledge, this is the first attempt of event normalization in the biomedical text mining. The experiments have been conducted using the molecular interaction data from IntAct. The results demonstrate that the method could achieve F-score of 0.87 in normalizing event-containing statements. AVAILABILITY AND IMPLEMENTATION: The source code is available at the gitlab repository https://gitlab.com/BioAI/leen and BioASQvec Plus is available on figshare https://figshare.com/s/45896c31d10c3f6d857a.

SlPHL1, a MYB-CC transcription factor identified from tomato, positively regulates the phosphate starvation response.

Inorganic phosphate (Pi) deficiency is a major limiting factor for plant growth and development. Previous reports have demonstrated that PHOSPHATE STARVATION RESPONSE 1 (PHR1) and OsPHR2 play central roles in Pi-starvation signaling in Arabidopsis and rice, respectively. However, the Pi-starvation signaling network in tomato (Solanum lycopersicum) is still not fully understood. In this work, SlPHL1, a homolog of AtPHR1 and OsPHR2, was identified from tomato. It was found that SlPHL1 contains the MYB and coiled-coil (CC) domains, localizes in the nucleus, and has transcriptional activity, indicating that it is a typical MYB-CC transcription factor (TF). Overexpression of SlPHL1 enhanced Pi-starvation responses both in Arabidopsis Col-0 and in tomato Micro-Tom, including elevated root hair growth, promoted APase activity, favored Pi uptake, and increased transcription of Pi starvation-inducing (PSI) genes. Besides, overexpressing SlPHL1 was able to compensate for the Pi-starvation response weakened by the AtPHR1 mutation. Notably, electrophoretic mobility shift assay (EMSA) showed that SlPHL1 could bind to the PHR1-binding sequence (P1BS, GNATATNC)-containing DNA fragments. Furthermore, SlPHL1 specifically interacted with the promoters of the tomato PSI genes SlPht1;2 and SlPht1;8 through the P1BS cis-elements. Taken these results together, SlPHL1 is a newly identified MYB-CC TF from tomato, which participates in Pi-starvation signaling by directly upregulating the PSI genes. These findings might contribute to the understanding of the Pi-starvation signaling in tomato.

Protein-protein interaction relation extraction based on multigranularity semantic fusion.

Extracting semantic relationships about biomedical entities in a sentence is a typical task in biomedical information extraction. Because a sentence usually contains several named entities, it is important to learn global semantics of a sentence to support relation extraction. In related works, many strategies have been proposed to encode a sentence representation relevant to considered named entities. Despite the current success, according to the characteristic of languages, semantics of words are expressed on multigranular levels which also heavily depends on local semantic of a sentence. In this paper, we propose a multigranularity semantic fusion method to support biomedical relation extraction. In this method, Transformer is adopted for embedding words of a sentence into distributed representations, which is effective to encode global semantic of a sentence. Meanwhile, a multichannel strategy is applied to encode local semantics of words, which enables the same word to have different representations in a sentence. Both global and local semantic representations are fused to enhance the discriminability of the neural network. To evaluate our method, experiments are conducted on five standard PPI corpora (AImed, BioInfer, IEPA, HPRD50, and LLL), which achieve F1-scores of 83.4%, 89.9%, 81.2%, 84.5%, and 92.5%, respectively. The results show that multigranular semantic fusion is helpful to support the protein-protein interaction relationship extraction.

Linked Color Imaging Can Improve Detection Rate of Early Gastric Cancer in a High-Risk Population: A Multi-Center Randomized Controlled Clinical Trial.

BACKGROUND: Early diagnosis of gastric cancer is difficult in China due to the lack of a valid method for endoscopic screening. Early gastric cancer, especially flat gastric cancer, lacks specific endoscopic features. Many cases appear to be similar to ordinary gastritis cases under normal white light endoscopy, which can lead to misdiagnosis. AIMS: In order to find a new method to improve detection rate of early gastric cancer in China, we designed a trial to validate linked color imaging (LCI) for screening of early gastric cancer in a high-risk population, as compared to white light imaging (WLI). METHOD: Subjects were randomly allocated to either the LCI + WLI or WLI group and then subjected to gastroscopy and all endoscopies were made after special preparation. All endoscopists had knowledge of this experiment. The main indicator was the rate of detection of gastric neoplastic lesions. The difference in the detection rate between the two groups is reported. RESULTS: The detection rate was 4.31% in the WLI group and 8.01% in the LCI + WLI group. This is a difference of 3.70% with a P value < 0.001 and an OR (95% CI) of 1.934 (1.362, 2.746). The lower limit of the 95% CI was greater than 0, and the superiority margin was 1%. CONCLUSION: The detection rate of gastric neoplastic lesions was higher in the LCI + WLI group than in the WLI group, LCI might be an effective method for screening early gastric cancer.

Circular RNA circRHOT1 promotes hepatocellular carcinoma progression by initiation of NR2F6 expression.

BACKGROUND: Increasing evidence has revealed a close relationship between non-coding RNAs and cancer progression. Circular RNAs (circRNAs), a recently identified new member of non-coding RNAs, are demonstrated to participate in diverse biological processes, such as development, homeostatic maintenance and pathological responses. The functions of circRNAs in cancer have drawn wide attention recently. Until now, the expression patterns and roles of circRNAs in hepatocellular carcinoma (HCC) have remained largely unknown. METHODS: Bioinformatics method was used to screen differentially expressed novel circRNAs in HCC. Northern blotting, qRT-PCR, in situ hybridization (ISH) and RNA-FISH were utilized to analyzed the expression of circRHOT1 in HCC tisues.CCK8, colony formation, EdU assays were used to analyze proliferation of HCC cells. Transwell assay was utilized to analyze HCC cell migration and invasion. FACS was used for apoptosis analysis. Xenograft experiments were used to analyze tumor growth in vivo. Mass spectrum, RNA pulldown, RIP and EMSA was utilized to test the interaction between circRHOT1 and TIP60. RNA-sequencing method was used to analyze the downstream target gene of circRHOT1. RESULTS: We identified circRHOT1 (hsa_circRNA_102034) as a conserved and dramatically upregulated circRNA in HCC tissues. HCC patients displaying high circRHOT1 level possessed poor prognosis. Through in vitro and in vivo experiments, we demonstrated circRHOT1 significantly promoted HCC growth and metastasis. Regarding the mechanism, we conducted a RNA pulldown with a biotin-labeled circRHOT1-specific probe and found that circRHOT1 recruited TIP60 to the NR2F6 promoter and initiated NR2F6 transcription. Moreover, NR2F6 knockout inhibited growth, migration and invasion, whereas rescuing NR2F6 in circRHOT1-knockout HCC cells rescued the proliferation and metastasis abilities of HCC cells. CONCLUSION: Taken together, circRHOT1 inhibits HCC development and progression via recruiting TIP60 to initiate NR2F6 expression, indicating that circRHOT1 and NR2F6 may be potential biomarkers for HCC prognosis.

Toward Cost-Effective Mobile Video Streaming through Environment-Aware Watching State Prediction.

Mobile video applications are becoming increasingly prevalent and enriching the way people learn and are entertained. However, on mobile terminals with inherently limited resources, mobile video streaming services consume too much energy and bandwidth, which is an urgent problem to solve. At present, research on cost-effective mobile video streaming typically focuses on the management of data transmission. Among such studies, some new approaches consider the user's behavior to further optimize data transmission. However, these studies have not adequately discussed the specific impact of the physical environment on user behavior. Therefore, this paper takes into account the environment-aware watching state and proposes a cost-effective mobile video streaming scheme to reduce power consumption and mobile data usage. First, the watching state is predicted by machine learning based on user behavior and the physical environment during a given time window. Second, based on the resulting prediction, a downloading algorithm is introduced based on the user equipment (UE) running mode in the LTE system and the VLC player. Finally, according to the corresponding experimental results obtained in a real-world environment, the proposed approach, compared to its benchmarks, effectively reduces the data usage (14.4% lower than that of energy-aware, on average) and power consumption (about 19% when there are screen touches) of mobile devices.

[A case of maternal 45,X/46,XX mosaicism detected by non-invasive prenatal testing].

OBJECTIVE: To report on a case of maternally derived 45,X mosaicism detected by non-invasive prenatal testing (NIPT). METHODS: Fetal sex chromosomal abnormality was detected by NIPT. Maternally derived 45,X mosaicism was confirmed by chromosome karyotype analysis. Fetal sex chromosome aneuploidy was detected by amniotic fluid chromosome microarray analysis. RESULTS: A maternal 45,X mosaicism was diagnosed. The fetus was confirmed to be normal. CONCLUSION: Maternal 45,X masaicism can be diagnosed by NIPT.

Deep Semisupervised Zero-Shot Learning with Maximum Mean Discrepancy.

Due to the difficulty of collecting labeled images for hundreds of thousands of visual categories, zero-shot learning, where unseen categories do not have any labeled images in training stage, has attracted more attention. In the past, many studies focused on transferring knowledge from seen to unseen categories by projecting all category labels into a semantic space. However, the label embeddings could not adequately express the semantics of categories. Furthermore, the common semantics of seen and unseen instances cannot be captured accurately because the distribution of these instances may be quite different. For these issues, we propose a novel deep semisupervised method by jointly considering the heterogeneity gap between different modalities and the correlation among unimodal instances. This method replaces the original labels with the corresponding textual descriptions to better capture the category semantics. This method also overcomes the problem of distribution difference by minimizing the maximum mean discrepancy between seen and unseen instance distributions. Extensive experimental results on two benchmark data sets, CU200-Birds and Oxford Flowers-102, indicate that our method achieves significant improvements over previous methods.

Enhancing QoE for Mobile Users by Environment-Aware HTTP Adaptive Streaming.

HTTP adaptive streaming (HAS) has become a dominated media streaming paradigm in today's Internet, which enriches the user's experience by matching the video quality with the dynamic network conditions. A range of HAS mechanisms have been proposed to enhance the Quality of Experience (QoE). However, existing mechanisms ignore the environmental impact in the QoE evaluation of mobile users, while the popularity of mobile video allows users to watch videos in diversified scenarios. In this paper, we propose an environment-aware HAS scheme that fully concentrates on the different criteria for evaluating video QoE under different environments. Using the advantage of the sensors in mobile phones, the scheme constructs and validates a video QoE model based on environment perception and then designs a model-driven, environment-aware HAS rate adaptation algorithm. We also evaluate the scheme with an environment-aware DASH (Dynamic Adaptive Streaming over HTTP) player in real mobile environments. Compared to the benchmark HAS mechanism, the experimental results demonstrate that our scheme can provide appropriate differentiated rate adaptation for different environments, resulting in a higher QoE.

Avoiding Optimal Mean ℓ2,1-Norm Maximization-Based Robust PCA for Reconstruction.

Robust principal component analysis (PCA) is one of the most important dimension-reduction techniques for handling high-dimensional data with outliers. However, most of the existing robust PCA presupposes that the mean of the data is zero and incorrectly utilizes the average of data as the optimal mean of robust PCA. In fact, this assumption holds only for the squared [Formula: see text]-norm-based traditional PCA. In this letter, we equivalently reformulate the objective of conventional PCA and learn the optimal projection directions by maximizing the sum of projected difference between each pair of instances based on [Formula: see text]-norm. The proposed method is robust to outliers and also invariant to rotation. More important, the reformulated objective not only automatically avoids the calculation of optimal mean and makes the assumption of centered data unnecessary, but also theoretically connects to the minimization of reconstruction error. To solve the proposed nonsmooth problem, we exploit an efficient optimization algorithm to soften the contributions from outliers by reweighting each data point iteratively. We theoretically analyze the convergence and computational complexity of the proposed algorithm. Extensive experimental results on several benchmark data sets illustrate the effectiveness and superiority of the proposed method.

Compressive mechanical stress may activate IKK-NF-κB through proinflammatory cytokines in MC3T3-E1 cells.

OBJECTIVE: To determine whether IKK-NF-κB is activated either directly by compressive mechanical stress or by proinflammatory cytokines produced by MC3T3-E1 cells under compressive stress loading. RESULTS: MC3T3-E1 cells subjected to cyclic uniaxial compressive stress showed increased expression of proinflammatory cytokines and activation of the IKK-NF-κB signaling pathway with nuclear translocation of p65. Following treatment with antibodies to neutralize the action of the proinflammatory cytokines, IL-1ß and IL-6, the activation of IKK-NF-κB signaling was notably inhibited in MC3T3-E1 cells subjected to force loading. CONCLUSION: IKK-NF-κB signaling in MC3T3-E1 cells may be activated by proinflammatory cytokines that are produced as a consequence of mechanical stress loading and not by direct compressive mechanical stress.

A comparative study on root canal repair materials: a cytocompatibility assessment in L929 and MG63 cells.

Cytocompatibility of repair materials plays a significant role in the success of root canal repair. We conducted a comparative study on the cytocompatibility among iRoot BP Plus, iRoot FS, ProRoot MTA, and Super-EBA in L929 cells and MG63 cells. The results revealed that iRoot FS was able to completely solidify within 1 hour. iRoot BP Plus required 7-day incubation, which was much longer than expected (2 hours), to completely set. ProRoot MTA and Super-EBA exhibited a similar setting duration of 12 hours. All the materials except Super-EBA possessed negligible in vitro cytotoxicity. iRoot FS had the best cell adhesion capacity in both L929 and MG63 cells. With rapid setting, negligible cytotoxicity, and enhanced cell adhesion capacity, iRoot FS demonstrated great potential in clinical applications. Future work should focus on longer-term in vitro cytocompatibility and an in vivo assessment.

Does clinical experience affect the bracket bonding accuracy of guided bonding devices in vitro?

OBJECTIVES: To study whether and how the clinical experience of the operator affects the accuracy of bracket placement using guided bonding devices (GBDs) in vitro. MATERIALS AND METHODS: Five resin models were bonded virtually with brackets, and the corresponding GBDs were generated and three-dimensionally printed. Nine operators, which included three dental students, three orthodontic students, and three orthodontists, bonded the brackets on the resin models using GBDs on a dental mannequin. After being bonded with brackets, the models were scanned, and the actual and designed positions of the brackets were compared. RESULTS: There was no immediate debonding. The orthodontists spent a significantly shorter time (22.36 minutes) in bracket bonding than the dental students (24.62 minutes; P < .05). The brackets tended to deviate to the buccal side in the dental student group. Linear deviations tended to be smallest in the orthodontic student group, but no significant difference was found among operators with different clinical experience (P > .5). All linear and angular deviations in each group were under 0.5 mm and 2°, respectively. CONCLUSIONS: Clinical experience was positively related to the bonding accuracy using GBDs, especially in the buccolingual dimension. Inexperience also led to longer bonding duration. However, bonding accuracy was clinically acceptable in general.