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.

Autoimmune thyroid disease(AITD)is a disease in clinical work,which is developed by the combined action of immune dysfunction and environmental abnormalities and other factors based on the genet-ic factor.In recent years,with the continual improvement of living level,people are more concerned about their health,the detection rate of AITD has increased.Studies find that the occurrence of AITD is closely related to the abnormal immunity mediated by T lymphocytes.As an organ-specific disease,AITD mainly includes Graves'disease(GD)and Hashimoto thyroiditis(HT).Selenium is an essential trace element in human body.In recent years,it has been found that the selenium preparations are involved in immune regulation,and have the functions for maintaining immune homeostasis,improving chronic inflammation and alleviating im-mune disorders of thyroid tissue.This paper reviews the research progress on the effects of selenium on AI-TD,aiming to provide the new ideas for the prevention and treatment of AITD.

Background and purpose:The aberrant activation of pyruvate dehydrogenase kinase 1(PDK1)drives tumor microenvironment remodeling and metastasis through mediating the Warburg effect.As a critical tumor-suppressive phosphatase,phosphatase and tensin homolog deleted on chromoseme ten(PTEN)activates PDK1 via loss of expression to induce aerobic glycolysis and accelerate tumor progression.The molecular interplay between PDK1 and PTEN in kidney renal clear cell carcinoma(KIRC)urgently requires systematic elucidation.This study aimed to clarify how PTEN regulates PDK1 to inhibit malignant phenotypes in KIRC.Methods:Bioinformatics analysis was conducted to compare PTEN and PDK1 expression levels as well as their prognostic correlations in the Cancer Genome Atlas(TCGA)-KIRC datasets.KIRC cell models was established by either silencing PDK1 or enhancing its expression,subsequently evaluating their malignancy characteristics through cell counting kit-8(CCK-8)proliferation,colony formation,cell migration,and invasion assays.To validate the regulatory interactions,we used PDK1-overexpressing cells treated with a PTEN-specific inhibitor.Western blot was used to dectect the protein expression.Results:The TCGA-KIRC analysis found significantly higher mRNA levels of PTEN and PDK1 in tumor tissues compared to normal controls(P＜0.05),yet this high expression was associated with improved overall survival(P＜0.01).Besides,a strong positive correlation was observed between PTEN and PDK1 expressions(r=0.52,P＜0.001).Functional assays demonstrated that PDK1 knockdown markedly promoted cell proliferation,migration,and invasion,whereas PDK1 overexpression exhibited opposing effects.Mechanistically,inhibiting PTEN worsened malignant behaviors(P＜0.01),however,these effects were reversed by overexpressing PDK1.Conclusion:This study presents the first evidence of the dual tumor-suppressive function of the PTEN-PDK1 biological axis in renal cancer,which supports the development of precision treatment strategies based on novel targets.

Objective To compare ferroptosis characteristics and motor dysfunction across different mouse models of Parkinson's disease(PD).Methods Animal models of PD were divided into five groups:the control group,sham-operated group,6-hydroxydopamine(6-OHDA)group,1-methyl-4-phenyl-1,2,3,6-tetrahydropyri-dine(MPTP)group,and lipopolysaccharide(LPS)group.Differences in ferroptosis-related features and motor dysfunction across these groups were evaluated through behavioral observation,histopathological examination,protein analysis,and assessment of lipid peroxidation and oxidative stress levels.Results In all three model groups,the number of TH-positive neurons in the substantia nigra on the lesioned side was significantly reduced,accompanied by evident neuronal degeneration and a marked decrease in Nissl bodies.Behavioral assessments revealed that the 6-OHDA group displayed the most severe motor deficits.In the substantia nigra,FTH1 protein expression was significantly downregulated in the 6-OHDA,LPS,and MPTP groups(P<0.01,P<0.05,P<0.01),respectively,while GPX4 expression was also reduced(P<0.001,P<0.001,P<0.01).Malondialdehyde(MDA)levels were significantly elevated in both the 6-OHDA and MPTP groups(P<0.05,P<0.05).Glutathione(GSH)assays demonstrated markedly reduced levels in the 6-OHDA,MPTP,and LPS groups(P<0.01,P<0.001,P<0.001).Reactive oxygen species(ROS)detection revealed a significant increase in the MPTP and LPS groups(P<0.05,P<0.05).Conclusion The 6-OHDA model is well suited for studying PD-related behaviors and the underlying mechanisms of motor symptoms,the MPTP model is particularly effective for investigating the ferroptosis pathway,and the LPS model serves as a valuable complement for research on neuroinflammation mechanisms.

Objective:To assess the clinical utility of vector flow mapping（VFM）for evaluating left ventricular wall shear stress（WSS）in individuals with non-obstructive hypertrophic cardiomyopathy（nHCM）.Methods:Forty patients with non-obstructive HCM（nHCM）and 46 healthy volunteers in Tangdu Hospital of Air Force Medical University from May 2020 to September 2023 were enrolled prospectively in this study. The left ventricular WSS of each of 18 segments was measured and analyzed by VFM during rapid filling phase（T1），slow filling phase（T2），isovolumetric contraction phase（T3）and rapid ejection phase（T4）.Results:① WSS decreased gradually from basal to apical segments in control group，while there was no such change pattern in nHCM group. ② Diastolic phase：When compared to the control group，the nHCM group demonstrated significantly increased WSS across all segments of the inferoseptal regions，the basal anteroseptal segment，and the middle and apical inferior segments during the T1 stage. Additionally，at the T2 stage，the WSS was significantly higher in the nHCM group across all segments of the inferoseptal and anteroseptal regions，the basal anterolateral segment，and the apical inferolateral and anterior segments（all P<0.05）. Conversely，during the T1 stage，the basal anterolateral segment，basal inferolateral segment，and the middle and apical anteroseptal segments，as well as during the T2 stage，the basal and middle inferior segments，exhibited lower WSS values compared to the control group，with these differences being statistically significant（all P<0.05）. ③Systolic Phase：During the T3 stage，the WSS values in all segments of the anteroseptal and anterolateral regions，as well as the apical inferior and anterior segments，were significantly elevated in the nHCM group compared to the control group（all P<0.05）.At the T4 stage，WSS in each segment of the inferolateral and inferior regions，as well as the basal and middle anterior segments，was significantly elevated in the nHCM group compared to the control group（all P<0.01）. Conversely，during the same stage，the WSS values in the basal inferolateral segment，the basal and middle anterolateral segments，and the basal and middle anteroseptal segments were significantly lower in the nHCM group than in the control group，with all differences reaching statistical significance（all P<0.01）.Regarding global WSS，the left ventricular global WSS in the nHCM group was significantly higher than that in the control group at both the T2 and T3 stages（all P<0.001）. Furthermore，the global WSS at the T3 stage was negatively correlated with left ventricular end-systolic volume，end-diastolic volume，and left ventricular stroke volume（ r=-0.226， P=0.036； r=-0.345， P=0.001； r=-0.303， P=0.005）. Conclusions:Significant differences in WSS are observed between patients with nHCM and control groups at various phases. WSS may serve as an early indicator of changes in cardiac function in nHCM patients.

Early diagnosis and therapy of the periodontitis are crucial for the prognosis.Although the latest international classification of periodontal diseases and peri-implant diseases in 2018 can improve the accuracy of diagnosis and reduce the misdiagnosis and missed diagnoses,it is extremely complex in practice.At present,the application of artificial intelligence in the field of dentistry is becoming more and more extensive,which has good performance in detecting tooth types and periodontal bone loss.The use of artificial intelli-gence to detect periodontal lesions and calculate periodontitis staging and grading,and guide clinical personalized and precise treatment has become a hot topic of current research.This paper summarizes and analyzes the current research status of artificial intelligence in periodontal radiographic diagnosis,and provides ideas for further research.

Early diagnosis and therapy of the periodontitis are crucial for the prognosis.Although the latest international classification of periodontal diseases and peri-implant diseases in 2018 can improve the accuracy of diagnosis and reduce the misdiagnosis and missed diagnoses,it is extremely complex in practice.At present,the application of artificial intelligence in the field of dentistry is becoming more and more extensive,which has good performance in detecting tooth types and periodontal bone loss.The use of artificial intelli-gence to detect periodontal lesions and calculate periodontitis staging and grading,and guide clinical personalized and precise treatment has become a hot topic of current research.This paper summarizes and analyzes the current research status of artificial intelligence in periodontal radiographic diagnosis,and provides ideas for further research.

Objective:To investigate the value of a computed tomography(CT)radiomics-based model for predicting the efficacy of neoad-juvant immunotherapy combined with chemotherapy for locally advanced gastric cancer(LAGC).Methods:Data on 114 patients with LAGC who underwent radical surgery after neoadjuvant immunotherapy combined with chemotherapy at The Second Affiliated Hospital of Xingtai Medical College between June 2019 and June 2021 were retrospectively collected.These patients'data were divided into a training set(n=67)and a validation set(n=47)based on the time of admission.High-throughput features were extracted from baseline portal phase CT images of all patients,and the selected features were used to construct the radiomics prediction model.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)and calibration curves.The prognostic ability of the model was assessed using Kaplan-Meier curves.Results:Based on the maximum relevancy min-redundancy(mRMR)algorithm and least absolute shrinkage and selection operator(LASSO)regression model,5 out of 584 assessed features were incorporated into the radiomics(Rad)score.The respect-ive areas under the curve for predicting pathological complete response(pCR)in the training and validation sets were 0.865 and 0.830,re-spectively,and good fits were obtained(Hosmer-Lemeshow test:P>0.05).The optimal cut-off value for the Rad score was determined based on the Youden index.Patients with high Rad scores had significantly higher 3-year recurrence-free survival rates(82.7%vs.60.4%in the training set and 78.9%vs.53.8%in the validation set)and 3-year overall survival rates(78.9%vs.60.2%in the training set and 79.3%vs.50.0%in the validation set)than those with low Rad scores(P<0.05).Conclusions:The CT radiomics prediction model effectively predicted the pathological response and prognosis of patients with LAGC after neoadjuvant immunotherapy combined with chemotherapy and is ex-pected to serve as a practical clinical tool.

Objective To compare ferroptosis characteristics and motor dysfunction across different mouse models of Parkinson's disease(PD).Methods Animal models of PD were divided into five groups:the control group,sham-operated group,6-hydroxydopamine(6-OHDA)group,1-methyl-4-phenyl-1,2,3,6-tetrahydropyri-dine(MPTP)group,and lipopolysaccharide(LPS)group.Differences in ferroptosis-related features and motor dysfunction across these groups were evaluated through behavioral observation,histopathological examination,protein analysis,and assessment of lipid peroxidation and oxidative stress levels.Results In all three model groups,the number of TH-positive neurons in the substantia nigra on the lesioned side was significantly reduced,accompanied by evident neuronal degeneration and a marked decrease in Nissl bodies.Behavioral assessments revealed that the 6-OHDA group displayed the most severe motor deficits.In the substantia nigra,FTH1 protein expression was significantly downregulated in the 6-OHDA,LPS,and MPTP groups(P<0.01,P<0.05,P<0.01),respectively,while GPX4 expression was also reduced(P<0.001,P<0.001,P<0.01).Malondialdehyde(MDA)levels were significantly elevated in both the 6-OHDA and MPTP groups(P<0.05,P<0.05).Glutathione(GSH)assays demonstrated markedly reduced levels in the 6-OHDA,MPTP,and LPS groups(P<0.01,P<0.001,P<0.001).Reactive oxygen species(ROS)detection revealed a significant increase in the MPTP and LPS groups(P<0.05,P<0.05).Conclusion The 6-OHDA model is well suited for studying PD-related behaviors and the underlying mechanisms of motor symptoms,the MPTP model is particularly effective for investigating the ferroptosis pathway,and the LPS model serves as a valuable complement for research on neuroinflammation mechanisms.

Objective:To investigate the value of a computed tomography(CT)radiomics-based model for predicting the efficacy of neoad-juvant immunotherapy combined with chemotherapy for locally advanced gastric cancer(LAGC).Methods:Data on 114 patients with LAGC who underwent radical surgery after neoadjuvant immunotherapy combined with chemotherapy at The Second Affiliated Hospital of Xingtai Medical College between June 2019 and June 2021 were retrospectively collected.These patients'data were divided into a training set(n=67)and a validation set(n=47)based on the time of admission.High-throughput features were extracted from baseline portal phase CT images of all patients,and the selected features were used to construct the radiomics prediction model.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)and calibration curves.The prognostic ability of the model was assessed using Kaplan-Meier curves.Results:Based on the maximum relevancy min-redundancy(mRMR)algorithm and least absolute shrinkage and selection operator(LASSO)regression model,5 out of 584 assessed features were incorporated into the radiomics(Rad)score.The respect-ive areas under the curve for predicting pathological complete response(pCR)in the training and validation sets were 0.865 and 0.830,re-spectively,and good fits were obtained(Hosmer-Lemeshow test:P>0.05).The optimal cut-off value for the Rad score was determined based on the Youden index.Patients with high Rad scores had significantly higher 3-year recurrence-free survival rates(82.7%vs.60.4%in the training set and 78.9%vs.53.8%in the validation set)and 3-year overall survival rates(78.9%vs.60.2%in the training set and 79.3%vs.50.0%in the validation set)than those with low Rad scores(P<0.05).Conclusions:The CT radiomics prediction model effectively predicted the pathological response and prognosis of patients with LAGC after neoadjuvant immunotherapy combined with chemotherapy and is ex-pected to serve as a practical clinical tool.