Diabetes mellitus, characterized by glucose metabolism disorders and marked by insulin deficiency or insulin resistance, has seen a continuous rise in prevalence. In recent years, islet transplantation has matured as a therapeutic approach for diabetes, becoming an important method for glycemic control and the reduction of diabetes-related complications. Donor selection directly influences transplant outcomes, and various research institutions worldwide have proposed multiple scoring systems to optimize donor assessment, such as the University of Alberta scoring system and the North American Islet Donor Score. This article explores the impact of key factors such as donor age, body mass index and ischemia time on islet transplantation. Combining practical experience in pancreatic donor selection from Shanghai Changzheng Hospital, it proposes screening criteria for pancreatic donors suitable for China, aiming to provide new evidence for improving the success rate of islet transplantation.

Objective: To evaluate the clinical efficacy and stability of a centric relation (CR)-guided approach combined with micro-implant anchorage and long traction hooks for root-controlled retraction of the maxillary anterior teeth in a patient with skeletal maxillary protrusion and dual bite, and to provide a reference for clinical practice. Methods: A case of a 29-year-old female patient with skeletal maxillary protrusion and an asymptomatic discrepancy between the maximum intercuspation position (MIP) and CR (dual bite) was reported. First, the CR was identified and obtained by cone beam computed tomography examination and clinical techniques, then was stabilized by glass ionomer bite registration and myofunctional training. Maintaining the CR, the maxillary micro-implants combined with long traction hooks were used to correct skeletal maxillary protrusion by facilitating maxillary anterior teeth retraction, and finally a new intercuspal occlusion was established to maintain long-term stability. A literature review was conducted to contextualize the treatment rationale and key steps. Results: Post-treatment, a coordinated and stable functional occlusion was established in CR without temporomandibular joint symptoms, and the condylar location was coordinated with the glenoid fossa. Controlled root retraction of the maxillary anterior segment and facial profile improvement were achieved. At 3-year follow-up, both occlusion in the CR and condylar positions remained stable. The literature review indicated that, in patients with CR-MIP discrepancy, prioritizing the identification and stabilization of CR is critical, and micro-implant anchorage with long traction hooks effectively facilitates maxillary anterior teeth retraction and profile improvement. Conclusion For skeletal maxillary protrusion with dual bite, a CR-first strategy combined with micro-implant anchorage and long-hook mechanics for root-controlled anterior retraction can concurrently improve stomatognathic function and facial aesthetics, demonstrating favorable mid- to long-term stability.

Objective To analyze the epidemiological characteristics and spatial-temporal clustering trend of scarlet fever in Nantong from 2009 to 2023, and to provide a scientific basis for scarlet fever prevention and control. Methods The incidence data of scarlet fever in Nantong from 2009 to 2023 were analyzed. Descriptive analysis, seasonal index method and Joinpoint 5.2.0 software were used to analyze epidemiological characteristics. Spatial-temporal clustering was assessed with SaTScan 10.2.5 software. Results The average annual incidence of scarlet fever in Nantong from 2009 to 2023 was 6.54/100 000. The overall morbidity rate of scarlet fever in Nantong had an increasing trend from 2009 to 2019 with an average annual percentage change of 14.55% (t=3.36，P<0.05). The cases mainly occurred during late spring to early summer and late autumn to early winter. Students, preschool children and scattered children were the main scarlet fever population. The average annual incidence of males was significantly higher than that of females (χ²=7.00, P<0.05). Rugao City, Chongchuan District and Tongzhou District were identified as high-incidence areas, accounting for 76.51% of all reported cases. Spatial-temporal scan analysis indicated that Rugao City and Chongchuan District were primary cluster areas, spanning from 2015 to 2021 (RR=3.77, LLR=1 308.07, P<0.05). Conclusion The number of reported cases of scarlet fever in Nantong City from 2009 to 2023 shows epidemic and spatial clustering, mainly concentrated in the central urban area and adjacent counties (cities). It is necessary to strengthen health education and disease surveillance in high-incidence areas, as well as in key institutions and key populations before epidemic peaks.

ObjectiveTo develop a novel clinical predictive model for metabolic dysfunction-associated fatty liver disease （MAFLD） based on metabolic markers and anthropometric indicators， and to provide a more effective tool for the early screening and intervention of MAFLD. MethodsA retrospective analysis was performed for 2 824 individuals who underwent abdominal color Doppler ultrasound at Health Examination Center of The First Hospital of Lanzhou University from January 1， 2024 to January 1， 2025， and at a ratio of 7∶3， they were randomly divided into training set with 1 976 patients and validation set with 848 patients. Clinical data， serological markers， and abdominal ultrasound results were collected from all patients， and triglyceride-glucose （TyG） index， triglyceride-to-high-density lipoprotein cholesterol （TG/HDL-C） ratio， and anthropometric indicators were calculated. The independent samples t-test was used for comparison of normally distributed or approximately normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of continuous data with skewed distribution between two groups； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups. The multivariate logistic regression analysis was used to identify independent predictive factors for MAFLD and intermediate- to high-risk MAFLD. Five risk prediction models were established for MAFLD based on the independent influencing factors， and a nomogram was plotted. The receiver operating characteristic （ROC） curve was plotted to assess model performance， and the area under the ROC curve （AUC） was calculated. The calibration curve was used to evaluate the predictive accuracy of the models， and decision curve analysis was used to assess the clinical practicability of the models. These models were then compared with traditional models. ResultsAmong the 1 976 individuals in the training set， 937 （47.42%） were diagnosed with MAFLD， and 423 （21.41%） were diagnosed with intermediate- to high-risk MAFLD； among the 848 individuals in the validation set， 406 （47.88%） were diagnosed with MAFLD. The multivariate logistic regression analysis showed that male sex （odds ratio ［OR］=0.23， 95% confidence interval ［CI］： 0.13 — 0.39， P<0.05）， waist circumference （OR=1.11， 95%CI： 1.06 — 1.17， P<0.05）， alanine aminotransferase （ALT） >40 U/L （OR=2.24， 95%CI： 1.44 — 3.51， P<0.05）， high-density lipoprotein cholesterol （HDL-C） （OR=0.07， 95%CI： 0.04 — 0.15， P<0.05）， TyG index （OR=8.27， 95%CI： 5.09 — 13.44， P<0.05）， TG/HDL-C ratio （OR=0.84， 95%CI： 0.71 — 0.99， P<0.05）， A Body Shape Index （ABSI） （OR=0.45， 95%CI： 0.39 — 0.52， P<0.05）， and body roundness index （BRI） （OR=2.31， 95%CI： 1.50 — 3.55， P<0.05） were independent influencing factors for MAFLD， and male sex （OR=0.17， 95%CI： 0.10 — 0.31， P<0.05）， age （OR=1.09， 95%CI： 1.07 — 1.11， P<0.05）， hemoglobin （OR=0.98， 95%CI： 0.97 — 0.98， P<0.05）， platelet count （OR=0.81， 95%CI： 0.70 — 0.93， P<0.05）， fasting blood glucose （OR=0.80， 95%CI： 0.71 — 0.89， P<0.05）， triglycerides （OR=0.14， 95%CI： 0.07 — 0.29， P<0.05）， TG/HDL-C ratio （OR=0.78， 95%CI： 0.67 — 0.91， P<0.05）， TyG index （OR=5.26， 95%CI： 3.32 — 8.33）， waist circumference （OR=2.50， 95%CI： 1.72 — 3.61， P<0.05）， ABSI （OR=0.58， 95%CI： 0.51 — 0.66， P<0.05）， and BRI （OR=0.01， 95%CI： 0.00 — 0.21， P<0.05） were independent influencing factors for intermediate- to high-risk MAFLD. Among the five models established， model 5 （incorporating sex， ALT elevation， HDL-C， TyG index， TG/HDL-C ratio， waist circumference， and ABSI） had the best performance， with an AUC of 0.917 （95%CI： 0.905 — 0.929） in the training set and 0.911 （95%CI： 0.892 — 0.930） in the validation set. The calibration curve showed that model 5 had good predictive accuracy， and the decision curve analysis confirmed its clinical practicability. ConclusionThe predictive model for MAFLD constructed based on metabolic markers and anthropometric indicators has good discriminatory ability and can be used to assess the risk of MAFLD. In addition， this study shows that waist circumference， TyG index， TG/HDL-C ratio， ABSI， and BRI are independently associated with intermediate- to high-risk MAFLD， but further studies are needed to confirm their value in predicting liver fibrosis progression.

ObjectiveThis study aims to investigate the therapeutic effects of Wenyang Xiaoyin Prescription （Linggui Zhugan Tang combined with Tingli Dazao Xiefei Tang） on a doxorubicin-induced mouse model of chronic heart failure （CHF）. The multi-targeting action mechanism of the therapy is revealed， based on the arginine vasopressin （AVP）-vasopressin V₂ receptor （V2R）-aquaporin 2 （AQP2） signaling pathway and nuclear transcription factor -κB （NF-κB） pathway mediated by the liver X receptor （LXR） in the heart， brain， and kidney tissue. MethodsCHF mouse models were established by using intraperitoneal injection of doxorubicin and subsequently divided into a blank control group， a model control group， Wenyang Xiaoyin Prescription groups （Linggui Zhugan decoction combined with Tingli Dazao Xiefei decoction） with various doses， a captopril group， and a combination group receiving both Wenyang Xiaoyin prescription （as before） and captopril. Cardiac function was assessed by using color Doppler echocardiography， while the levels of brain natriuretic peptide （BNP）， AVP， and the renin-angiotensin-aldosterone system （RAAS） in the serum were measured via enzyme-linked immunosorbent assay （ELISA）. Pathological changes and ventricular remodeling in ventricular tissues were evaluated through hematoxylin and eosin （HE） and Masson staining， and myocardial cell apoptosis of mice was assessed by using TdT-mediated dUTP Nick-End Labeling （TUNEL） staining. Western blot and real-time polymerase chain reaction （Real-time PCR） were employed to detect the protein and RNA expression levels of LXRα， nuclear factor kappa-light-chain-enhancer of activated B cells （NF-κB）， tumor necrosis factor-α （TNF-α）， inducible nitric oxide synthase （iNOS） in the cardiac tissue， LXRβ， AVP in the hypothalamus， and LXRβ， V2R， and AQP2 in the kidneys. Furthermore， immunohistochemistry was used to quantify AQP2-positive collecting ducts in renal tissues. ResultsThe Wenyang Xiaoyin prescription significantly enhanced cardiac function indicators in CHF mice， reducing levels of BNP， AVP， and RAAS in the serum. It also mitigated myocardial cell damage and fibrosis change. The Wenyang Xiaoyin prescription inhibited the expressions of NF-κB and its downstream targets TNF-α and iNOS and improved myocardial inflammatory response， cell apoptosis， and ventricular remodeling by upregulating the expression of LXRα in cardiac tissues. Concurrently， the Wenyang Xiaoyin prescription elevated LXRβ expression in the kidneys and hypothalamus while downregulating the expression levels of AVP， V2R， and AQP2， as well as water permeability in the collecting ducts， thereby alleviating cardiac load. ConclusionThe intervention of Wenyang Xiaoyin prescription demonstrates a significant therapeutic effect on CHF， and its role involves the multi-target effect mechanism of the AVP/V2R/AQP2 and NF-κB pathways mediated by the nuclear receptor LXR in the heart， brain， and kidney tissue.

ObjectiveBased on ultra performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS）， the combination of serum pharmacochemistry， response profile of absorbed components in serum， network pharmacology and drug-likeness prediction was used to screen the potential active ingredients of Yanghetang against breast cancer. MethodsUPLC-Q-TOF-MS/MS was used to identify the main components in different solvent extracts of Yanghetang， and serum pharmacochemistry was applied to analyze the absorbed components from the serum of female SD rats after 0.5， 1， 2 h of administration. Combined with the response characteristic values of serum drug components obtained from UNIFI 1.8.2， the absorbed prototype components and metabolites were screened to get the absorbed components of Yanghetang with a significant patterns of elimination and growth. Network pharmacology was applied to construct a drug-component-pathway-target-disease network， and molecular docking was performed between absorbed components and key targets of breast cancer， and the drug similarity was analyzed by SwissADME. ResultsForty-two compounds were identified in Yanghetang samples extracted with different solvents， of which 16 compounds were common to the three different extraction solvents（methanol， 50% methanol and water）. The results of drug-containing serum analysis showed that there were 16 absorbed components in serum， including 5 prototypes and 11 metabolites. Network pharmacology results showed that Yanghetang against breast cancer involved 15 key targets such as proto-oncogene tyrosine-protein kinase Src（SRC）， epidermal growth factor receptor（EGFR） and phosphoinositide 3 kinase catalytic alpha polypeptide（PIK3CA）. Molecular docking results showed that 16 potential active ingredients were well combined with the predicted targets. Combined with drug likenesses， 12 compounds in the absorbed components of Yanghetang were considered to have potential for anti-breast cancer activity， mainly including α-pinene and γ-eudesmol and their metabolites， of which one was from Ephedrae Herba， one was from Rehmanniae Radix， and eight were from Cinnamomi Cortex. ConclusionThe chemical components of Yanghetang mainly include polysaccharides， monoterpene glycosides and coumarins， and its prototype components mainly undergo oxidation， hydrolysis and acetylation after entering the blood. Its anti-breast cancer mechanism may be related to the regulation of signaling pathways such as the mitogen-activated protein kinase（MAPK） and phosphatidylinositol 3-kinase/protein kinase B（PI3K/Akt）. The results of this study can lay a foundation for further exploration of Yanghetang in the treatment of breast cancer.

ObjectiveTo investigate the trends in diabetes mortality and potential years of life lost (PYLL) among residents of Huangpu District, Shanghai from 1993 to 2021, to analyze the long-term trends of diabetic patients with different characteristics and to provide a reference for scientific prevention and control of diabetes in aging urban areas. MethodsDiabetes mortality data were obtained from the Huangpu District cause of death registration records in the Shanghai death cause registration system. Indicators such as crude mortality rate, standardized mortality rate, potential years of life lost (PYLL), average years of life lost (AYLL), annual percentage change (APC), and average annual percentage change (AAPC) were used to analyze diabetes-related mortality and life loss. Statistical analyses were performed using software SPSS 21.0 and Joinpoint 5.0.2. ResultsFrom 1993 to 2021, the average annual crude mortality rate of diabetes in Huangpu District was 46.56/100 000, and the average annual standardized mortality rate was 20.44/100 000. The crude mortality rate and standardized mortality rate of diabetes for female residents were higher than those for males. The crude mortality rate showed an overall increasing trend [AAPC=2.81% (95%CI: 0.20%‒5.49%), P<0.05], while the increase in standardized mortality rate significantly slowed [AAPC=0.15% (95%CI: -2.27%‒2.63%)], P<0.05]. The mortality rate rose rapidly in the 70‒74 years age group and peaked in the 85‒ years age group (607.69/100 000). Diabetes accounted for a cumulative PYLL of22 741 person-years, with an average annual AYLL of 1.88 years and an average annual potential years of life lost rate (PYLLR) of 0.82‰. Male residents had higher PYLL, AYLL, and PYLLR than females. ConclusionDiabetes mortality rates in Huangpu District have increased year by year, resulting in significant life loss. However, the age-standardized mortality rate increase has markedly slowed. Efforts should focus on elderly diabetic patients aged ≥70 years, by leveraging platforms such as community-based chronic disease health support centers, efforts should be made to enhance diabetes screening service for middle-aged and elderly residents. Consequently, elderly diabetic patients’ awareness of diabetes and responce to related complications is improved, which would be conducive to controling the progression of complications and reducing the mortolity risk of diabetes.

Objective To construct the training program for the digital and intelligent capabilities of specialized nurses in the Central Sterile Supply Department(CSSD),and conduct preliminary practice to provide talent support for the intelligent development of CSSD.Methods From February to April 2024,based on the core technologies of digital intelligence and related core capabilities,a training program for digital intelligence-related competencies of CSSD specialized nurses was constructed using literature review and the Delphi expert consultation method.From July to August 2024,the program was initially implemented in the training of CSSD specialized nurses.The nurses'information competency before and after the training was compared,and the nurses' satisfaction with the digital intelligence-related training program was assessed.Results This study conducted 2 rounds of expert consultation via questionnaire.The effective recovery rate of the questionnaires in both rounds was 100％.The expert authority coefficients were 0.790 and 0.800,respectively,and the variation coefficients ranged from 0 to 0.229 and 0 to 0.105.Ultimately,a training program for the digital-related competencies of CSSD specialty nurses was established,which includes 4 components:training objectives,training content,training methods,and assessment methods.Specifically,there were 3 indicators at the first level and 14 at the second level for training objectives,6 indicators at the first level and 32 at the second level for training content,and 6 indicators at the first level for training methods and assessment methods.After the implementation of the training program,the information competency of the nurses in all dimensions and the total score were significantly higher than those before training(P＜0.05).Moreover,the average scores for the training content,training methods,and assessment methods were all above 3 points,indicating a high overall satisfaction among the nurses.Conclusion The construction process of the training program for the digital and intelligent capabilities of CSSD specialty nurses is scientific and reliable.The content is highly practical and distinctive in its specialty.The training methods and assessment approaches are diverse.This program can enhance nurses' information competency and provide a reference for the implementation of digital and intelligent training for CSSD specialty nurses.

This article is based on modern psychology and TCM emotional theory,combined with facial expression recognition technology,to apply deep learning methods to the digital research of TCM emotions to more accurately capture and analyze patients'emotional states.A cross-disciplinary framework was established by synthesizing facial expression-emotion correlations from psychological and TCM perspectives.The methodology included:Data annotation of TCM-defined emotional expressions using standardized coding systems;Facial expression acquisition,spatiotemporal feature extraction and emotion classification through a 3D convolutional neural network(3D CNN).The framework achieved 91.43%accuracy in video-based emotion classification.High-arousal emotional states demonstrated superior recognition performance,with anger showing optimal recall(1.000 0)and F1-score(0.946 3),while surprise attained the highest precision(0.976 0).These findings aligned with TCM pathological characteristic of"anger induces qi ascending,surprise disrupts qi flow".The digital recognition framework for TCM emotional quantification based on facial expression recognition technology exhibits strong alignment with TCM observation diagnosis,providing clinicians with an objective tool to assess the"seven emotions"and elucidating emotion-facial correlations in classical TCM theory.Future research should focus on longitudinal validation across diverse populations and establish development pathways for AI-assisted TCM diagnostic systems.

Objective:To investigate the clinical efficacy of autologous adipose-derived stem cell gel (SVF-gel) grafting in the treatment of depressed acne scars.Methods:A retrospective analysis was conducted on data collected from 28 patients who underwent SVF-gel grafting treatment for depressed acne scars in the Department of Dermatology, Xijing Hospital, Air Force Medical University from October 2018 to May 2021. There were 17 males and 11 females, aged 17 - 38 (26 ± 4.86) years. As for clinical types, 8 patients were diagnosed with boxcar acne scars, 14 with rolling acne scars, and 6 with acne scars with characteristics of the two types. The clinical acne scar weighted scale (ECCA scale) was used to evaluate the appearance improvement after the treatment, and patients′ subjective satisfaction scores and incidence of adverse reactions were recorded.Results:After the SVF-gel grafting, the facial appearance of patients with depressed acne scars significantly improved, and the ECCA scores significantly decreased 6 months after surgery (before surgery: 52.5 ± 15.8 points; 6 months after surgery: 23.8 ± 10.2 points; t = 11.68, P < 0.001). The subjective satisfaction rate of patients was 82.14% (23/28), the incidence rate of adverse reactions was 17.86% (5/28), and 5 patients experienced mild inflammatory reactions after surgery, including 2 with subcutaneous nodules. The secondary grafting rate was 67.86% (19/28) . Conclusion:The SVF-gel grafting was markedly effective for the treatment of depressed acne scars, which is worthy of clinical promotion and application.