A comparison of maxillary sinus diameters in Chinese and Yemeni patients with skeletal malocclusion.

BACKGROUND: This study aimed to compare the maxillary sinus dimensions and surface area in accordance with skeletal malocclusion, gender and ethnicity factors in a sample of Chinese and Yemeni patients. METHODS: This cross-sectional study analysed 180 maxillary sinuses using 180 lateral cephalometric radiographs. The patients were subdivided into two ethnic groups: Chinese and Yemeni. Each ethnic group comprised 90 patients, and men and women were divided equally. Each ethnic group was classified into three skeletal classes using ANB and Wits appraisal (skeletal Classes I, II and III). Pearson's correlation coefficient was also used to assess the relationship between maxillary sinus dimensions and cephalometric parameters. RESULTS: Men had larger maxillary sinuses than women; skeletal Class II had a higher length and surface area increase than other skeletal classes, although skeletal Classes I and II were almost equal in height. Except for the maxillary sinus length, none of these findings were statistically significant. The maxillary sinuses in Chinese are larger than those in Yemenis (P = 0.000). These variables were positively correlated with SNA, SNB and Co-A. The maxillary sinus length and Co-Gn were positively correlated. The NA-APO and NA-FH angles were also correlated with the maxillary sinus surface area. However, the gonial and GoGn-Sn angles negatively affected the maxillary sinus dimension and surface area. CONCLUSIONS: Men had larger maxillary sinuses than women in both ethnic groups, and Chinese individuals had larger maxillary sinuses than Yemenis. Skeletal Class II malocclusion of both ethnicities had larger maxillary sinus dimensions. Furthermore, the maxillary sinus dimensions correlated with cephalometric parameters.

3D FRN-ResNet: An Automated Major Depressive Disorder Structural Magnetic Resonance Imaging Data Identification Framework.

Major Depressive Disorder (MDD) is the most prevalent psychiatric disorder, seriously affecting people's quality of life. Manually identifying MDD from structural magnetic resonance imaging (sMRI) images is laborious and time-consuming due to the lack of clear physiological indicators. With the development of deep learning, many automated identification methods have been developed, but most of them stay in 2D images, resulting in poor performance. In addition, the heterogeneity of MDD also results in slightly different changes reflected in patients' brain imaging, which constitutes a barrier to the study of MDD identification based on brain sMRI images. We propose an automated MDD identification framework in sMRI data (3D FRN-ResNet) to comprehensively address these challenges, which uses 3D-ResNet to extract features and reconstruct them based on feature maps. Notably, the 3D FRN-ResNet fully exploits the interlayer structure information in 3D sMRI data and preserves most of the spatial details as well as the location information when converting the extracted features into vectors. Furthermore, our model solves the feature map reconstruction problem in closed form to produce a straightforward and efficient classifier and dramatically improves model performance. We evaluate our framework on a private brain sMRI dataset of MDD patients. Experimental results show that the proposed model exhibits promising performance and outperforms the typical other methods, achieving the accuracy, recall, precision, and F1 values of 0.86776, 0.84237, 0.85333, and 0.84781, respectively.

Mapping theme trends and knowledge structure of Sjögren's syndrome (SS), a bibliometric analysis from 2010 to 2021.

BACKGROUND: Sjögren's syndrome is an autoimmune disease with a complicated pathophysiology, and treatment strategies are in desperate need of improvement. In this research, we provide the literature topic trends and knowledge structure connected to Sjögren's syndrome from the perspective of bibliometrics for further research. METHODS: We acquired 3753 publications from the PubMed database and 3880 catalogs from the Web of Science Core Collection, with a time limit of 2010 to 2021 and the search term as "Sjögren's syndrome." Using the VOSviewer and bibliographic item co-occurrence matrix generator, we conducted cocited analysis, extracted major MeSH terms, generated matrices and performed biclustering analysis, visual matrix, drawn strategy diagram, and social network analysis. RESULTS: Through the clustering of the major MeSH terms, a total of five categories and 10 research topics were identified. Cocitation analysis suggests that diagnosis and clinical manifestations have been the main basis over the past 12 years and also are the mature content in the first quadrant of the strategy map. Ultrasonography, immunosuppressive agents and therapy, mechanism and therapeutic targets, and diagnostic autoantibodies are examples of the third quadrant, which wields great potential to progress. Genetic predisposition and psychology, in the fourth quadrant, need to be developed additionally. The subject keywords near the network's edge, such as "Salivary Glands, Minor/pathology," "Immunosuppressive Agents/therapeutic use," and "Autoantibodies/blood," are all growing research hotspots with much space, according to social network analysis. CONCLUSION: Through bibliometric analysis of the literature related to Sjögren's syndrome in the past 12 years, we obtained the knowledge basis, undeveloped topics, and emerging hotspots, which can suggest recommendations for future research. Key Points • We disclosed the topic trends and knowledge structure of Sjögren's syndrome literature over the past 12 years. • Clinical manifestations and diagnosis of Sjögren syndrome are included in mature and comprehensive studies, whereas ultrasonography, immunosuppressants and treatments, mechanisms and therapeutic targets, and diagnostic autoantibodies are studies with high potential for advancement. Additional research in genetics and psychology is needed. • We identified potential future research hotspots, including "Salivary Glands, Minor/pathology," "Immunosuppressive Agents/therapeutic use," and "Autoantibodies/blood."

Interventions that improve adherence to antihypertensive medications in coronary heart disease patients: a systematic review.

A systematic review is conducted to identify effective interventions that improved adherence to antihypertensive drugs among patients with coronary heart diseases (CHDs). Primary studies designed to measure interventions to improve adherence on antihypertensive drugs in patients with CHD were included. Three online databases, COCHRANE, EMBASE and MEDLINE, were searched for primary studies published in English from 2005 to 2019. Studies were screened independently for eligibility. Cochrane risk-of-bias tool and the Newcastle-Ottawa Scale were used for quality assessment of randomised controlled trials (RCTs) and non-randomised studies, respectively. Of the 2000 entries identified, seven articles, including one cross-sectional study and six RCTs, met the inclusion criteria and were reviewed. One of the articles evaluated two interventions, so eight interventions were evaluated in total. Quality of the included studies was generally high, with the cross-sectional study rated as having good quality under Newcastle-Ottawa Scale, while four and two RCTs were rated as having low and some risk of bias under Cochrane risk-of-bias tool, respectively. Six of the intervention programmes were considered effective. An intervention was considered effective if it is associated with a significant (p≤0.05) and non-trivial (Cohen's d≥0.2) improvement in compliance-related outcomes such as in terms of the Morisky 8-item Medication Adherence Scale. Medication education, disease education, health education, constant reminders and medications dispensed using blister packs were identified to be effective in improving patients' compliance to medications. The importance of the continuity of interventions was also established. It is recommended that health service institutions should provide continuous education programmes, daily reminders and regular follow-ups for their patients who have CHD. It is recommended that further research ought to be carried out by using only one intervention in each trial with a standardised outcome measure, or using factorial designs, so that further cost-effectiveness evaluation of each intervention can be carried out independently, leading to the formulation of a comprehensive, optimised intervention programme for patients with CHD taking antihypertensives.

Fbxo9 functions downstream of Sox10 to determine neuron-glial fate choice in the dorsal root ganglia through Neurog2 destabilization.

The transcription factor Sox10 is a key regulator in the fate determination of a subpopulation of multipotent trunk neural crest (NC) progenitors toward glial cells instead of sensory neurons in the dorsal root ganglia (DRG). However, the mechanism by which Sox10 regulates glial cell fate commitment during lineage segregation remains poorly understood. In our study, we showed that the neurogenic determinant Neurogenin 2 (Neurog2) exhibited transient overlapping expression with Sox10 in avian trunk NC progenitors, which progressively underwent lineage segregation during migration toward the forming DRG. Gain- and loss-of-function studies revealed that the temporary expression of Neurog2 was due to Sox10 regulation of its protein stability. Transcriptional profiling identified Sox10-regulated F-box only protein (Fbxo9), which is an SCF (Skp1-Cul-F-box)-type ubiquitin ligase for Neurog2. Consistently, overexpression of Fbxo9 in NC progenitors down-regulated Neurog2 protein expression through ubiquitination and promoted the glial lineage at the expense of neuronal differentiation, whereas Fbxo9 knockdown resulted in the opposite phenomenon. Mechanistically, we found that Fbxo9 interacted with Neurog2 to promote its destabilization through the F-box motif. Finally, epistasis analysis further demonstrated that Fbxo9 and probably other F-box members mediated the role of Sox10 in destabilizing Neurog2 protein and directing the lineage of NC progenitors toward glial cells rather than sensory neurons. Altogether, these findings unravel a Sox10-Fbxo9 regulatory axis in promoting the glial fate of NC progenitors through Neurog2 destabilization.

Construction of a Near-Infrared-Activatable Enzyme Platform To Remotely Trigger Intracellular Signal Transduction Using an Upconversion Nanoparticle.

Photoactivatable (caged) bioeffectors provide a way to remotely trigger or disable biochemical pathways in living organisms at a desired time and location with a pulse of light (uncaging), but the phototoxicity of ultraviolet (UV) often limits its application. In this study, we have demonstrated the near-infrared (NIR) photoactivatable enzyme platform using protein kinase A (PKA), an important enzyme in cell biology. We successfully photoactivated PKA using NIR to phosphorylate its substrate, and this induced a downstream cellular response in living cells with high spatiotemporal resolution. In addition, this system allows NIR to selectively activate the caged enzyme immobilized on the nanoparticle surface without activating other caged proteins in the cytosol. This NIR-responsive enzyme-nanoparticle system provides an innovative approach to remote-control proteins and enzymes, which can be used by researchers who need to avoid direct UV irradiation or use UV as a secondary channel to turn on a bioeffector.

[Changes of historical Paragonimus metacercaria infection rates of freshwater crabs in Yongjia County].

OBJECTIVE: To understand the changes of Paragonimus metacercaria infection rates of freshwater crabs in Paragonimus endemic areas and explore the causes in Yongjia County, Zhejiang Province, China. METHODS: A field investigation was carried out. The freshwater crabs were collected and the metacercaria were separated from the crabs. The infection rates, infectiosities and infection indexes were calculated and the results were vertically compared with the historical findings. The causes of the changes were discussed. RESULTS: Compared with those in 1980, the average infection rate in original endemic areas decreased from 59.71% to 21.50% (P < 0.05), while the infection density decreased from 1.09/g to 0.23/g (P < 0.05). The infection index decreased obviously. In Hesheng Village, it decreased from 4.05 to 0.01 (P < 0.01), in Wuchi Village, it was from 37.90 to 2.91 (P <0.01), and in Daruoyan Scinic area,it was from 5.85 to 0.03 (P < 0.01). Two endemic areas disappeared but two new endemic areas (Sihai Village and Sunshan Village) were found, and in Sunshan Village, the metacercaria infection rate was 100%, the infection density and infection index were 21.30/g and 3 402.68 respectively, which meant it was a super high endemic focus. CONCLUSION: The Paragonimus metacercaria infection rate in crabs is lower than before in Yongjia County, but some super high epidemic focus of paragonimiasis still exists. Therefore, we still should strengthen the control measures.