Oral squamous cell carcinoma (OSCC) is a common head and neck malignancy. Approximately 50% to 60% of patients with OSCC are diagnosed at a locally advanced stage (clinical staging III-IVa). Even with comprehensive and sequential treatment primarily based on surgery, the 5-year overall survival rate remains below 50%, and patients often suffer from postoperative functional impairments such as difficulties with speaking and swallowing. Programmed death receptor-1 (PD-1) inhibitors are increasingly used in the neoadjuvant treatment of locally advanced OSCC and have shown encouraging efficacy. However, clinical practice still faces key challenges, including the definition of indications, optimization of combination regimens, and standards for efficacy evaluation. Based on the latest research advances worldwide and the clinical experience of the expert group, this expert consensus systematically evaluates the application of PD-1 inhibitors in the neoadjuvant treatment of locally advanced OSCC, covering combination strategies, treatment cycles and surgical timing, efficacy assessment, use of biomarkers, management of special populations and immune related adverse events, principles for immunotherapy rechallenge, and function preservation strategies. After multiple rounds of panel discussion and through anonymous voting using the Delphi method, the following consensus statements have been formulated: 1) Neoadjuvant therapy with PD-1 inhibitors can be used preoperatively in patients with locally advanced OSCC. The preferred regimen is a PD-1 inhibitor combined with platinum based chemotherapy, administered for 2-3 cycles. 2) During the efficacy evaluation of neoadjuvant therapy, radiographic assessment should follow the dual criteria of Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 and immune RECIST (iRECIST). After surgery, systematic pathological evaluation of both the primary lesion and regional lymph nodes is required. For combination chemotherapy regimens, PD-L1 expression and combined positive score need not be used as mandatory inclusion or exclusion criteria. 3) For special populations such as the elderly (≥ 70 years), individuals with stable HIV viral load, and carriers of chronic HBV/HCV, PD-1 inhibitors may be used cautiously under the guidance of a multidisciplinary team (MDT), with close monitoring for adverse events. 4) For patients with a poor response to neoadjuvant therapy, continuation of the original treatment regimen is not recommended; the subsequent treatment plan should be adjusted promptly after MDT assessment. Organ transplant recipients and patients with active autoimmune diseases are not recommended to receive neoadjuvant PD-1 inhibitor therapy due to the high risk of immune related activation. Rechallenge is generally not advised for patients who have experienced high risk immune related adverse events such as immune mediated myocarditis, neurotoxicity, or pneumonitis. 5) For patients with a good pathological response, individualized de escalation surgery and function preservation strategies can be explored. This consensus aims to promote the standardized, safe, and precise application of neoadjuvant PD-1 inhibitor strategies in the management of locally advanced OSCC patients.

The construction of a new cultural system for high-quality development in public hospitals serves as a crucial pillar for achieving their high-quality advancement.During this developmental processe stablishing a cultural framework that aligns with the new development model holds particular significance.Through content analysis methodology,it identifies 18 core elements of the new cultural system for high-quality development in public hospitals.Furthermore it synthesizes seven implementation pathways across three dimensions-organizational patientand employee perspectives:digital leadership organizational reform capability talent innovation capability resource integration capability normative constraint force value co-creation capability and employee support capability.These findings provide both theoretical and practical references for cultivating new cultural constructs that facilitate high-quality development in public hospitals.

Objective To analyze the medication rules of traditional Chinese medicine in treating breast cancer based on real-world data mining.Methods Inpatients with breast cancer who received traditional Chinese medicine treatment at the Affiliated Hospital of Chengdu University of Traditional Chinese Medicine from January 2017 to December 2021 were selected.Python 3.10 software was used to mine traditional Chinese medicine prescription data;SPSS 23.0 software was applied for descriptive analysis,and systematic cluster analysis was performed on high-frequency drugs.Results A total of 3026 consultation records of inpatients with breast cancer were collected.The main traditional Chinese medicine syndrome diagnosis of"predominantly liver depression and Qi stagnation"accounted for 60.94％of the total consultations.A total of 240 kinds of traditional Chinese medicine were used,with a cumulative frequency of 35 462 times.Among them,29 kinds of traditional Chinese medicine such as Danggui,Fuling,Baizhu,Chaihu had a cumulative usage frequency exceeding 300 times.Regarding the four natures of drugs,cold-natured(43.55％),warm-natured(30.05％),and neutral-natured(23.34％)drugs were predominant;In terms of five flavors,sweet(46.12％),bitter(30.91％),and pungent(20.02％)were the main ones.The most frequently used drugs were tonifying herbs(32.77％),followed by heat-clearing herbs(15.96％)and phlegm-resolving herbs(14.71％).Systematic cluster analysis yielded 7 groups of drug combinations.Conclusion In real-world clinical practice,traditional Chinese medicine for breast cancer mainly uses tonifying herbs,reflecting the traditional Chinese medicine principle of"strengthening healthy Qi and cultivating the root"in treating tumors.The four natures and five flavors of drugs follow syndrome differentiation and the combination of cold and heat.The clustered drug combinations have extensive therapeutic effects,covering various syndromes of breast cancer at different stages,which can provide a reference for clinical medication.

Objective To establish a rapid analysis method for cyanide based on a ratiometric fluores-cent probe,providing a quantitative strategy for on-site visual and rapid detection of cyanide.Methods A dual-emission ratiometric fluorescent probe(AuNCs-FL)was constructed by using bovine serum al-bumin(BSA)-stabilized gold nanoclusters(AuNCs,fluorescence emission at 660 nm)as the responsive signal unit and fluorescein(FL,emission at 515 nm)as the internal reference.Results The etching effect of cyanide on AuNCs resulted in fluorescence quenching at 660 nm,while the fluorescence inten-sity of FL at 515 nm remained unchanged,enabling a rapid response analysis of cyanide shift from red to green fluorescence.The developed probe enabled rapid analysis of cyanide within 3 min,with a limit of detection(LOD)of 3.4 mg/L and a visual detection range of 10-100 mg/L.Conclusion The AuNCs-FL fluorescent probe is structurally simple,low-cost,and easy to operate,delivering rapid and accurate results.It also avoids the interference from sulfides encountered in commercial cyanide test kits,making it suitable for the on-site rapid detection of suspected powder samples in cyanide poisoning cases.

Objective To determine the prognostic biomarkers and new therapeutic targets of the lung adenocarcinoma (LUAD), based on which to establish a prediction model for the survival of LUAD patients. Methods An integrative analysis was conducted on gene expression and clinicopathologic data of LUAD, which were obtained from the UCSC database. Subsequently, various methods, including screening of differentially expressed genes (DEGs), Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and Gene Set Enrichment Analysis (GSEA), were employed to analyze the data. Cox regression and least absolute shrinkage and selection operator (LASSO) regression were used to establish an assessment model. Based on this model, we constructed a nomogram to predict the probable survival of LUAD patients at different time points (1-year, 2-year, 3-year, 5-year, and 10-year). Finally, we evaluated the predictive ability of our model using Kaplan-Meier survival curves, receiver operating characteristic (ROC) curves, and time-dependent ROC curves. The validation group further verified the prognostic value of the model. Results The different-grade pathological subtypes' DEGs were mainly enriched in biological processes such as metabolism of xenobiotics by cytochrome P450, natural killer cell-mediated cytotoxicity, antigen processing and presentation, and regulation of enzyme activity, which were closely related to tumor development. Through Cox regression and LASSO regression, we constructed a reliable prediction model consisting of a five-gene panel (MELTF, MAGEA1, FGF19, DKK4, C14ORF105). The model demonstrated excellent specificity and sensitivity in ROC curves, with an area under the curve (AUC) of 0.675. The time-dependent ROC analysis revealed AUC values of 0.893, 0.713, and 0.632 for 1-year, 3-year, and 5-year survival, respectively. The advantage of the model was also verified in the validation group. Additionally, we developed a nomogram that accurately predicted survival, as demonstrated by calibration curves and C-index. Conclusion We have developed a prognostic prediction model for LUAD consisting of five genes. This novel approach offers clinical practitioners a personalized tool for making informed decisions regarding the prognosis of their patients.

Objective To explore the regulatory effect of methyltransferase-like 3(METTL3)on m6A methylation of Sigma-1 receptor(Sigma-1R)mRNA and mitophagy in cerebral microvascular endothelial cells of sepsis mice.Methods Twelve adult male C57BL/6J mice were randomly divided into the Sham group(without cecal ligation or puncture)and the sepsis group(received cecal ligation and puncture),with 6 mice in each group.m6A methylation levels,and relative expression of METTL3 and Sigma-1R mRNA and protein in cerebral micro-vascular tissues were detected by m6A Dot blot,RT-qPCR,and Western blot,respectively.The bEnd.3 cells were cultured in vitro and divided into the control group(normal culture),model group[lipopolysaccharide(LPS)-induced in vitro sepsis],si-NC group(LPS treat-ment combined with si-NC transfection),and si-METTL3 group(LPS treatment combined with si-METTL3 transfection).m6A Dot blot was used to detect m6A methylation levels of cells in each group;RT-qPCR was used to detect the mRNA expression of METTL3 and Sigma-1R;and Western blot was used to detect the expression of METTL3,Sigma-1R,and autophagy-related proteins of Bnip3,LC3B,and Beclin1.m6A chromatin immunoprecipitation-qPCR was used to detect m6A methylation level of Sigma-1R of cells in each group.JC-1 probe was used to detect the mitochondrial membrane potential,and the ATP assay kit was used to detect the mitochondrial ATP content.Results Compared with the Sham group,the sepsis group showed increased m6A methylation level and METTL3 expression(P<0.05),and decreased Sigma-1R expression in cerebral microvascular tissues(P<0.05).Compared with the control group,m6A methylation level,METTL3 expression and m6A methylation level of Sigma-1R mRNA increased,the expression of Sigma-1R,the normal rate and increase rate of mitochondrial membrane potential,and the ATP content decreased,and the protein expression of Bnip3,LC3B and Beclin1 downregulated in the model group and the si-NC group,with statistically significant differences(P<0.05).Compared with the si-NC group,m6A methylation level,METTL3 expression and m6A methylation level of Sigma-1R mRNA decreased,the expression of Sigma-1R,the normal rate and increase rate of mitochondrial membrane potential elevated,the ATP content increased,and the protein expression of Bnip3,LC3B and Beclin1 upregulated in the si-METTL3 group,with statistically significant differences(P<0.05).Conclusion Silencing METTL3 can inhibit m6A methylation of Sigma-1R mRNA and promote the mitophagy in cerebral microvascular endothelial cells of septic mice.

Occlusal reconstruction is an important method of restoring a normal occlusal relationship to the natural dentition.The cor-rect choice of lateral occlusion scheme is necessary for physiological occlusal reconstruction.The main lateral occlusion schemes for the occlusal reconstruction of the natural dentition are canine protection and group function.This article reviews the effects of lateral occlu-sion schemes on the stomatognathic system and factors affecting the choice of lateral occlusion schemes in the occlusal reconstruction of natural dentition.According to the literature review,the lateral occlusion schemes affect the physiological functions of the stomatognath-ic system.Both lateral occlusion schemes have less impact on the temporomandibular joint.Group function produces greater EMG activi-ty,jaw movement velocity,and jaw lateral freedom than canine protection.The lateral occlusion schemes of the natural dentition should be selected according to the degree of lateral movement,types of static occlusion,and age of patients.For patients with Angle's ClassⅢ malocclusion,skeletal Class Ⅱ,Ⅲ malocclusion,and the elderly,group function is recommended,while canine protection is more recommended for young adults.For patients who eventually need to achieve canine protection,it is recommended to design group func-tion in the early stage of lateral movement,and gradually transition to canine protection with the increase of lateral movement.Thus,clinicians need to fully understand the influencing factors of lateral occlusion selection during occlusal reconstruction in natural denti-tion,providing a basis for the development of personalized diagnostic and treatment plans.

Objective To observe the clinical effect of doing Huatuo five-animal play treating blood-stasis-type silent myocardial ischemia(SMI)and its influence on coronary hemodynamics.Methods Ninety patients diagnosed as silent myocardial ischemia were randomly divided into a five-animal play group(n=45,age:51.56±11.00 years,24 males and 21 females)and a regular exercise group(n=45,age:52.44±7.19 years old,24 males and 21 females)according to a random number table.The five-animal play group practised the traditional five-animal play,while the regular exercise group con-ducted daily 30-minute moderate-intensity treadmill aerobic exercise,five times a week,for 4 weeks.The changes in the number of abnormal ST-T segment occurrences,myocardial oxygen consumption(CMO),coronary ischemia threshold(CIT),and blood smoothness index(BSD)within 24-hour ambu-latory electrocardiogram before and after the intervention were observed in both groups,with the thera-peutic effect and hemodynamic characteristics of both groups evaluated.Results The average number of ST-T segment abnormalities decreased after intervention in both groups(P<0.001),with significantly greater improvement in the five-animal play group than the regular exercise group(P<0.001).More-over,the average CMO decreased significantly,while the average CMR and BSD increased significant-ly in both groups after intervention(P<0.05),with significantly greater improvement in the five-ani-mal play group than the other group.Meanwhile,the total effective rate in the five-animal play group was significantly higher than the regular exercise group(P<0.01).Conclusion Undergoing the five-ani-mal play and moderate intensity treadmill aerobic exercise both are effective in treating silent myocardi-al ischemia.However,the former therapy is superior to the latter in bettering CMO,CIT and BSD.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

This study was aimed at establishing a method of ultra-fast quantitative PCR for Brucella detection.We used an exogenous recombinant plasmid as the internal reference and targeted the T4SS secretion system,an important Brucella viru-lence factor,to design specific primers and probes.The sensitivity,specificity,and repeatability of this method were evaluated,and a standard curve was constructed.The coincidence rate of detection findings with this method versus quantitative PCR was determined.This method markedly decreased the detection time to only 10 minutes.The standard curve demonstrated a good linear relationship(Y=-3.410 7x+38.357,R2=0.998 5)with a low minimum detection limit of 10 copies/μL.The method exhibited good specificity and did not specifically amplify several common clinical bacteria other than Brucella.The de-tection of three concentrations of positive plasmids yielded coefficients of variation(CVs)of 0.20％to 0.91％,thus demonstra-ting the method's excellent repeatability.Furthermore,140 clinical samples were analyzed concurrently with the fluorescence PCR method,which yielded a 100％compliance rate and consistent results.Our findings indicated that the Brucella ultra-fast quantitative PCR was ultrafast;had high sensitivity,high specificity,and good specificity;and can be used for the clinical de-tection of Brucella and emergency investigation of epidemics.Therefore,this method is valuable for the early diagnosis of Bru-cella.