Protrusive facial deformities, characterized by the forward displacement of the teeth and/or jaws beyond the normal range, affect a considerable portion of the population. The manifestations and morphological mechanisms of protrusive facial deformities are complex and diverse, requiring orthodontists to possess a high level of theoretical knowledge and practical experience in the relevant orthodontic field. To further optimize the correction of protrusive facial deformities, this consensus proposes that the morphological mechanisms and diagnosis of protrusive facial deformities should be analyzed and judged from multiple dimensions and factors to accurately formulate treatment plans. It emphasizes the use of orthodontic strategies, including jaw growth modification, tooth extraction or non-extraction for anterior teeth retraction, and maxillofacial vertical control. These strategies aim to reduce anterior teeth and lip protrusion, increase chin prominence, harmonize nasolabial and chin-lip relationships, and improve the facial profile of patients with protrusive facial deformities. For severe skeletal protrusive facial deformities, orthodontic-orthognathic combined treatment may be suggested. This consensus summarizes the theoretical knowledge and clinical experience of numerous renowned oral experts nationwide, offering reference strategies for the correction of protrusive facial deformities.
Humans ; Orthodontics, Corrective/methods* ; Consensus ; Malocclusion/therapy* ; Patient Care Planning ; Cephalometry

Tricellulin, a key tricellular tight junction (TJ) protein, is essential for maintaining the barrier integrity of acinar epithelia against macromolecular passage in salivary glands. This study aims to explore the role and regulatory mechanism of tricellulin in the development of salivary gland hypofunction in Sjögren's syndrome (SS). Employing a multifaceted approach involving patient biopsies, non-obese diabetic (NOD) mice as a SS model, salivary gland acinar cell-specific tricellulin conditional knockout (Tric^CKO) mice, and IFN-γ-stimulated salivary gland epithelial cells, we investigated the role of tricellulin in SS-related hyposalivation. Our data revealed diminished levels of tricellulin in salivary glands of SS patients. Similarly, NOD mice displayed a reduction in tricellulin expression from the onset of the disease, concomitant with hyposecretion and an increase in salivary albumin content. Consistent with these findings, Tric^CKO mice exhibited both hyposecretion and leakage of macromolecular tracers when compared to control animals. Mechanistically, the JAK/STAT1/miR-145 axis was identified as mediating the IFN-γ-induced downregulation of tricellulin. Treatment with AT1001, a TJ sealer, ameliorated epithelial barrier dysfunction, restored tricellulin expression, and consequently alleviated hyposalivation in NOD mice. Importantly, treatment with miR-145 antagomir to specifically recover the expression of tricellulin in NOD mice significantly alleviated hyposalivation and macromolecular leakage. Collectively, we identified that tricellulin deficiency in salivary glands contributed to hyposalivation in SS. Our findings highlight tricellulin as a potential therapeutic target for hyposecretion, particularly in the context of reinforcing epithelial barrier function through preventing leakage of macromolecules in salivary glands.
Sjogren's Syndrome/complications* ; Animals ; Xerostomia/etiology* ; Mice ; Mice, Inbred NOD ; MARVEL Domain Containing 2 Protein/metabolism* ; Humans ; Mice, Knockout ; Disease Models, Animal ; Interferon-gamma ; Salivary Glands/metabolism* ; Tight Junctions/metabolism* ; MicroRNAs/metabolism* ; Female

Objective This study aims at establishing a teaching catalog and content for breast rare dis-eases and developing the syllabus for the breast rare disease using integrated multimodality of case-/problem-/resource-based learning(CBL+PBL+RBL).Methods By conducting bibliometrics co-occurrence analysis,we collected 6291 articles on breast rare disease published from January,1975 to June,2024.Additionally,we re-trieved the Textbook on Rare Diseases,the Catalog of Chinese Rare Disease,and Second Batch of Rare Dis-ease Catalog and then decided the teaching content.Results From 16,387 keywords,1000(6.1％)keywords were identified through co-occurrence analysis,including 50(0.3％)candidate diseases.These were classified into three categories:rare primary breast diseases,rare genetic mutation-related diseases associated with breast cancer,and rare systemic multi-system diseases involving the breast.From the candidate list,20(0.1％)rare primary breast diseases were further selected for their notable clinical teaching significance,and significant multi-systemic diseases affecting the breast,whether related to gene mutations or not.Teaching plans were draf-ted using a diversified parallel teaching approaches,taking into account the characteristics of different diseases and the focus of different teaching methods.Conclusions This study initiated the development of the teaching content for breast rare diseases and developed the teaching syllabus using the CBL+PBL+RBL integrated multi teaching model and targeting each rare breast disease for the critical point for teaching.

Nonalcoholic fatty liver disease(NAFLD)is currently a chronic liver disease with the highest prevalence rate in the world,with complex pathogeneses and limited clinical treatment methods.Over the past 20 years,the discovery of active components for NAFLD treatment from traditional Chinese medicine and compound prescriptions of the components that can exert a multi-target effect has been one of the research hotspots.Based on the chemical components of traditional Chinese medicine,this article elaborates on the active components with a promising future in the treatment of NAFLD,including flavonoids,phenols,terpenoids,alkaloids,and saponins,as well as the compound prescriptions of active components with a synergistic effect,in order to provide new ideas for the strategies of pharmacotherapy for NAFLD.

ObjectiveTo analyze the epidemiological characteristics and trends of influenza‑like illness (ILI) in Jiading District from 2013 to 2023, to explore the prevalence patterns, so as to provide a scientific basis for a better prevention and control of influenza. MethodsData of ILI cases, pathogenetic surveillance results and pathogen detection data from influenza surveillance network laboratories in Jiading District from 2013 to 2023 were collected for statistical analysis. ResultsFrom 2013 to 2023, the overall proportion of medical visits for ILI cases in Jiading District was 2.70%. ILI cases were mainly distributed in the age group of ≥25 years, with a seasonal prevalence characteristic, mainly concentrated in the winter and spring, with an occasional small peak in the summer. A total of 12 423 specimens were tested for pathogenetic surveillance and monitoring, 3 651 of which were tested positive for nucleic acid detection, with a positive rate of 29.39%. The dominant strain was influenza A (H3N2) virus, accounting for 55.05%. There were statistical significant differences in the positive detection rates by different streets and townships(χ²=24.73，P<0.05）. The influenza network laboratory isolated and cultured influenza viruses from 3 154 nucleic acid‑positive samples sent by national influenza sentinel surveillance hospitals using 2 methodsMadin‑Darby canine kidney (MDCK) cells and specific pathogen free (SPF) chicken embryos, respectively, with a total isolation rate of 39.51%, and the isolation rate of MDCK cells (35.45%) was higher than that of SPF chicken embryos (5.36%). From 2013 to 2023, a total of 14 ILI outbreaks were reported in Jiading District, mainly in primary schools, kindergartens and secondary schools. ConclusionInfluenza in Jiading District, Shanghai, is mainly prevalent in the winter and spring, with different subtypes of influenza viruses alternating or co⁃circulating in different monitoring year. It is recommended to promote influenza vaccination, further improve influenza prevention and control measures, enhance health promotion to the age group of ≥25 years in winter and spring, and strengthen surveillance and monitoring on ILI outbreaks in collective units such as primary schools and childcare institutions, so as to reduce the disease burden.

Objective:Through the analysis of five cases of occupational heat illness caused by high temperature, we expounded the pathogenesis and summarized the clinical characteristics of heat cramp and heat exhaustion of the newly revised diagnostic criteria for occupational heat illness (GBZ41-2019), in order to prevent the occurrence of occupational heat illness to put forward controllable countermeasures.Methods:According to the occupational history, clinical diagnosis and treatment and the other relevant data submitted by five patients, the diagnosis process was analyzed and summarized.Results:Five patients developed symptoms from July to August in summer, belonging to high-temperature operation. They improved by timely treatment. The symptoms, signs and laboratory tests of the five patients were different, but they were diagnosed as occupational heat illness.Conclusion:Employers should pay attention to the high temperature protection and cooling work, and strengthen the labor protection. If patients with heat cramp and heat exhaustion were timely treated, they could basically recover. Occupational disease diagnosticians should seriously study the new diagnostic criteria of occupational disease and constantly improve their diagnostic ability.

OBJECTIVE To establish an ultra-performance liquid chromatography-tandem mass spectrometry(UHPLC-MS/MS) method for determination and comparison of 26 components in different parts of two base plants of Shiliang tea(Chimonanthus salicifolius S.Y.Hu and Chimonanthus zhejiangensis M.C.Liu), and screen quality markers of different parts. METHODS The UHPLC method was performed on an Agilent RRHD Eclipse Plus C18 (2.1 mm×50 mm, 1.8 μm) column with a gradient elution of methanol and 0.1% formic acid in water at a flow rate of 0.3 mL·min−1, the column temperature was 35 ℃, and the injection volume was 0.5 μL; the multiple reaction monitoring mode was employed for the quantification of 26 components with electrospray ionization(ESI) source polarity in negative and positive mode. RESULTS Good linear relationship(r >0.999) were observed in the test ranges for 26 compounds, and the average recovery was 88.5%−111.7% with RSD was 3.4%−9.8%. There was no significant difference between the two base plants of Shiliang tea, and all of these samples were divided into two categories by hierarchical cluster analysis. The main components in leaves was flavonoids, among them, the content of kaempferol 3-O-rutinoside was the highest, reaching 12.902 mg.g−1; the main components in stems and roots was coumarins, and the content of alkaloids in roots was higher, relatively; 7 quality markers of difference were screened by OPLS-DA, which were kaempferol 3-O-rutinoside, chimonanthine, rutin, fraxetin, calycanthoside, scopolin, neochlorogenic acid. CONCLUSION These study elucidates the differences of chemical components in the different parts of two base plants of Shiliang tea, which providing basis for the research of pharmacodynamic substances and references for the comprehensive utilization of Chimonanthus salicifolius S.Y. Hu and Chimonanthus zhejiangensis M.C.Liu resources.

OBJECTIVE To evaluate the accuracy of three individualized drug delivery tools， i.e. JPKD， SmartDose and NextDose， in predicting tacrolimus dose and blood concentration after kidney transplantation， and analyze the influential factors of prediction accuracy. METHODS The clinical data of adult hospitalized patients treated with tacrolimus after kidney transplantation from January 2021 to June 2023 were retrospectively collected. Three individualized dosing tools， i.e. JPKD， SmartDose and NextDose， were used to predict the dose and plasma concentration of tacrolimus. The absolute prediction error （APE） and prediction error （PE） between the measured value and the predicted value， and prediction success rate were calculated （APE＜30% indicating a good forecast）. Pearson assay or Spearman assay was used to analyze the correlation between the predicted dosage and actual dosage， as well as the predicted and measured blood concentration values using three software； univariate analysis was used to investigate the influential factors for prediction accuracy of JPKD， SmartDose and NextDose. RESULTS A total of 110 hospitalized patients were included in this study， and tacrolimus doses and plasma concentrations were monitored. The predicted doses of JPKD， SmartDose and NextDose were （2.0±0.7）， （2.7±1.9）， （1.8±0.8） mg， their measured value was （1.9±0.6） mg， and the correlation coefficients between the predicted values and the measured value were 0.841， 0.450， 0.247 （P＜0.001）； the median APEs were 6.00%， 52.07% and 30.40%， and the median PEs were 5.00%， 18.50% and －3.50%； the prediction success rates were 98.45%， 30.05% and 49.22%. The predicted values of tacrolimus concentrations using JPKD， SmartDose， NextDose were （6.74±3.36）， （6.93±5.02）， 9.00（5.80±12.60） ng/mL， the measured value was 8.64（7.11，9.77） ng/mL， and the correlation coefficients between the predicted values and the measured value were 0.997 （P＜0.001）， －0.066 （P＝0.360）， 0.920 （P＜0.001）. The median APEs were 5.54%， 45.91% and 35.56%， and PEs were －4.94% （median）， －17.050% （median） and 36.93% （average value）； the prediction success rates were 97.93%， 32.64% and 37.31%. Univariate analysis showed that the dosage， blood concentration， body weight， transplantation time and others were related to the prediction accuracy （P＜0.05）. CONCLUSIONS The good prediction rates of tacrolimus dose and blood concentration in kidney transplant patients using three personalized drug delivery tools， from high to low， are JPKD， NextDose， and SmartDose， suggesting that JPKD can be prioritized in clinical use.