Evaluation of modified clear Twin Block aligner in treating adolescents with skeletal class II malocclusion: A two-centre cephalometric study.

INTRODUCTION: The purpose of this study was to evaluate the therapeutic effect of modified clear Twin Block (CTB) aligner and traditional twin block (TB) appliance from skeletal, dentoalveolar and soft tissue changes in adolescents with skeletal class II malocclusion. METHODS: A total of 80 adolescents, included in this study from two medical centres, were distributed into CTB group, TB group and control group based on the treatment they received. Lateral cephalograms at pre-treatment (T1) and post-treatment (T2) were measured by modified Pancherz's cephalometric analysis, and dentoskeletal and soft tissue changes were analysed by independent-sample t-test, paired-sample t-test, ANOVA test and Scheffe's Post Hoc test. RESULTS: Seventy-five adolescents completed the study, including 32 in the CTB group, 32 in the TB group and 11 in the control group. Both CTB and TB treatment showed significant differences in most dentoskeletal and soft tissue measurements. Compared with the control group, improvements were observed in class II molar relationship through significant different in S Vert/Ms-S Vert/Mi in the CTB group (P < .01) and the TB group (P < .001), as well as deep overjet through significant different in S Vert/Is-S Vert/Ii in the CTB group (P < .001) and the TB group (P < .001). Besides, the CTB group also showed less protrusion of lower incisors and resulted in a more significant improvement in profile with fewer adverse effects on speaking, eating and social activities. CONCLUSIONS: For adolescents with skeletal class II malocclusion, CTB appliance was as effective as TB on improving dentoskeletal and soft tissue measurements, featuring more reliable teeth control and patient acceptance.

Orthodontic Treatment Planning based on Artificial Neural Networks.

In this study, multilayer perceptron artificial neural networks are used to predict orthodontic treatment plans, including the determination of extraction-nonextraction, extraction patterns, and anchorage patterns. The neural network can output the feasibilities of several applicable treatment plans, offering orthodontists flexibility in making decisions. The neural network models show an accuracy of 94.0% for extraction-nonextraction prediction, with an area under the curve (AUC) of 0.982, a sensitivity of 94.6%, and a specificity of 93.8%. The accuracies of the extraction patterns and anchorage patterns are 84.2% and 92.8%, respectively. The most important features for prediction of the neural networks are "crowding, upper arch" "ANB" and "curve of Spee". For handling discrete input features with missing data, the average value method has a better complement performance than the k-nearest neighbors (k-NN) method; for handling continuous features with missing data, k-NN performs better than the other methods most of the time. These results indicate that the proposed method based on artificial neural networks can provide good guidance for orthodontic treatment planning for less-experienced orthodontists.

Targeting Tumor Cells by Natural Anti-Carbohydrate Antibodies Using Rhamnose-Functionalized Liposomes.

Recruitment of antibodies in human immune systems for targeted destruction of tumor cells has emerged as an exciting area of research due to its low occurrence of side effects, high efficacy, and high specificity. The presence of large amounts of anticarbohydrate natural antibodies in human sera has prompted research efforts to utilize carbohydrate epitopes for immune recruitment. Here, we have developed a general strategy for specific targeted destruction of tumor cells based on rhamnose-functionalized liposomes. Tumor cells artificially decorated with rhamnose epitopes were subjected to complement-mediated cytotoxicity in vitro and showed delayed tumor growth in vivo. This study highlights the therapeutic potential for activation of endogenous immune response through cell-surface glycan engineering.

Improvement of the cytocompatibility of electrospun poly[(R)-3-hydroxybutyrate-co-(R)-3-hydroxyvalerate] mats by Ecoflex.

Poly[(R)-3-hydroxybutyrate-co-(R)-3-hydroxyvalerate] (PHBV) is a nature-derived polyester with potential application in tissue engineering scaffolds. However, PHBV is associated with disadvantages including high brittleness, slow degradation, high hydrophobicity, and unsatisfactory biocompatibility. In this study, we sought to improve the properties of PHBV by blending it with Ecoflex, a synthetic biopolyester with a high flexibility, fast degradation, and comparatively higher hydrophilicity. PHBV was codissolved with Ecoflex in dichloromethane at different mass ratios (PHBV/Ecoflex: 100/0, 70/30, 50/50, and 30/70) and electrospun into mats. Compared with the pure PHBV mat, the Ecoflex-containing mats showed decreased contact angles with phosphate-buffered saline (PBS), accelerated weight loss in PBS, and increased strain at break with increasing Ecoflex mass ratios. In vitro cell culture also showed significantly improved adhesion and proliferation of human bone marrow stroma cells with the introduction of Ecoflex. Blending PHBV with Ecoflex is a simple and effective method to improve the chemical, mechanical, and biological properties of PHBV simultaneously and thereby to expedite its application in tissue engineering. To our knowledge, this is the first report showing the biocompatibility of Ecoflex-containing materials with human cells.