The immune microenvironment plays a pivotal role in maintaining ovarian homeostasis. Polycystic ovary syndrome (PCOS), a common endocrine and metabolic disorder, is closely associated with immune microenvironment imbalance. This review systematically describes the dysregulation of innate immune cells (e.g., macrophages, natural killer cells and dendritic cells) and adaptive immune cells (e.g., Th1, Th2, Treg and Th17) in PCOS, highlighting their impacts on ovarian function, insulin resistance, and hyperandrogenemia. These findings underscore the central role of immune microenvironment disturbances in PCOS pathogenesis. Additionally, the association between gut microbiota dysbiosis and PCOS is explored, emphasizing how gut microbiota influences metabolic byproducts and hormonal levels to contribute to PCOS development. Furthermore, therapeutic strategies targeting immune microenvironment imbalance such as modulating macrophage polarization, restoring Th1/Th2 and Th17/Treg balance, and ameliorating gut microbiota dysbiosis are discussed, offering novel insights for PCOS immunotherapy. In conclusion, this review comprehensively analyzes the pathogenesis of PCOS from the perspective of the immune microenvironment, aiming to provide a theoretical foundation and reference for future research and clinical practice.

Objective To investigate the risk factors and clinical significance of layered plaques that were detected by optical coherence tomography(OCT)in patients with angiographically intermediate coronary lesions,and relationship with prognosis.Methods This was a signal-center retrospective study focusing on patients whom underwent coronary angiography and OCT.The layered plaque group and non-layered plaque group were divided according to the presence or absence of stratified plaque.Clinical data,laboratory indicators,angiography,and OCT results were collected and compared between the two groups.Using logistic regression to analyze the relationship between stratified plaques and clinical features;Cox regression analysis was used to investigate the influencing factors of cardiovascular adverse events in patients with critical coronary artery disease.Results A total of 172 patients were enrolled,including 96 patients in non-layered plaque group and 76 patients in layered plaque group.Male(OR 2.415,95％CI 1.162-5.020,P=0.018),diabetes(OR 2.505,95％CI 1.137-5.525,P=0.023)and history of hyperlipidemia(OR 3.590,95％CI 1.478-6.333,P=0.003)were independent risk factors for stratified plaque.In OCT analysis,the proportion of thin-cap fibroatheroma(TCFA)plaque,macrophage infiltration,microvascularization,thrombosis,plaque rupture,and intimal dissection,as well as lipid plaque length,lipid plaque arc,and lipid plaque index were higher in the layered plaque group.After adjusting for other risk factors,macrophage infiltration is independently associated with stratified plaques(OR 2.106,95％CI 1.019-4.353,P=0.044).Kaplan-Meier survival analysis showed that the target lesion revascularization rate in the layered plaque group was higher than that in the non-layered plaque group(Log-rank P=0.030).Cox regression analysis shows that it has both stratified plaque and thin fibrous membrane plaque characteristics was an independent predictor of cardiovascular adverse events(HR 5.165,95％CI 1.696-15.727,P=0.004).Conclusions In patients with angiographically intermediate coronary lesions,OCT detection of stratified lesions is often accompanied by other unstable plaque features,indicating an increased risk of adverse cardiovascular events.Simultaneously possessing features of stratified plaques and TCFA is an independent predictor of adverse cardiovascular events in patients with critical coronary artery disease.

Gastric cancer is a malignant tumor with high prevalence worldwide and limited therapeutic options.Chimeric antigen receptor T-cell(CAR-T)therapy has emerged as a promising approach for gastric cancer treatment;however,its application faces substantial challenges.This review provides comprehensive summary of the recent advances in CAR-T cell therapy for gastric cancer,systematic analysis of critical break throughs and core challenges from target discovery to clinical translation,and outlining of future perspectives.We describe the criter-ia for ideal target selection and highlight the current research landscape of major targets,including CLDN18.2 that demonstrated efficacy,and targets facing distinct challenges,including HER-2,CEA,EpCAM,and MUC1.This review also finely dissects three central barriers restrict-ing CAR-T cell efficacy,and discusses corresponding countermeasures:overcoming the immunosuppressive tumor microenvironment through strategies such as local delivery,armored CAR-T cells,and combination therapies;engineering approaches including affinity modula-tion and logic-gate designs to mitigate on-target/off-tumor toxicity;and optimization of manufacturing processes and reduction of costs via early leukapheresis,rapid production platforms,and universal CAR-T cell strategies.Future multidimensional,integrative,and innovative strategies are pivotal for achieving comprehensive break throughs in CAR-T cell therapy for solid tumors.

In the pathological process of acute lung injury,uncontrolled inflammatory response will lead to severe consequences,and pyroptosis plays a vital factor in a cell programmed inflammatory necrosis.When the body is imbalanced due to excessive pyroptosis,it can lead to lung injury in the lungs.TCM emphasizes the balance of the body and the balance of yin and yang.Based on the"yin-yang"theory and"pathogenic factors and healthy qi"theory of TCM,this article discussed the yin-yang changes,growth and decline,and opposing constraints of cell pyroptosis in the occurrence and development of acute lung injury at the cellular level,and explained the possible basis of TCM in preventing and treating cell pyroptosis,providing theoretical reference for the intervention of TCM in the prevention and treatment of acute lung injury with cell pyroptosis.

Objective:To explore the interrelationship between brain functional networks and features in functional magnetic resonance imaging(fMRI)of patients with Alzheimer's disease(AD),and to construct mixed-function networks(MFN),and apply them in machine learning classification models to improve the accuracy of AD classification.Methods:102 AD patients and 227 healthy subjects in the Alzheimer's Neuroimaging Initiative(ADNI)dataset were retrospectively analyzed.The partial correlation brain network of the blood oxygen level dependent(BOLD)signal was calculated and fused with low-frequency wave amplitude(ALFF),fractional low-frequency wave amplitude(fALFF)and local consistency(ReHo)features to construct MFN.Network topology parameters were extracted,and a variety of machine learning classification models were constructed based on MFN topological parameters,accuracy,precision,recall and area under the curve(AUC)were used to evaluate the predictive efficiency of the models.Results:By constructed MFN and calculated intra group to inter group ratio(IIGR),35 features could be obtained from ALFF,fALFF and ReHo feature topological parameter analysis,after rank sum test and FDR correction,there were statistical differences among 28 features(P＜0.05).The classification results show that,all the five classifiers have high classification performance on the test data set.The accuracy,precision and recall rates of random forest(RF),adaptive lifting algorithm(AdaBoost),guided aggregation algorithm(Bagging)and support vector machine(SVM)were all 99.7％,and the AUC values were up to 100％,99.5％,99.1％and 99.5％,respectively.The accuracy(98.5％),precision(98.5％),recall(98.5％),and AUC(99.1％)of the multi-layer perceptron(MLP)were slightly lower than other models,but remained excellent.It was worth noting that RF has the highest AUC value of all models at 100.0％,while Bagging has the lowest AUC value(99.1％)in the integrated approach.The results of performance comparison show that,MFN classification model can significantly improve the recognition and classification of AD disease,and greatly improve the performance of various indicators of the classifier.The results showed that,MFN classification model was superior to intelligent classification based fusion,DBN-based multitask learning,PVT-TSVM,unsupervised learning and clustering,SVM and SVM of degree 3 polynomial kernel function in key indicators such as accuracy(99.13％),AUC(99.42％),recall rate(99.46％)and specificity(99.42％)with plasma proteins,machine learning algorithms.It was further proved that MFN classification model has good generalization ability and robustness in AD disease classification.Conclusion:The AD classification model constructed based on brain mixed function network topology parameters and machine learning can improve the accuracy of AD classification.

Objective To obtain measurements of fetal four-chamber view and left and right ventricular shapes using two-dimensional speckle tracking,and to explore the clinical quantification of cardiac shape remodeling in small for gestational age(SGA)fetuses.Methods In this study,we prospectively collected data on singleton pregnancies from 28 to 39 weeks that were established in the archives of Obstetrics and Gynecology Hospital,Fudan University from May 2020 to Jul 2021.Fetuses eligible for inclusion criteria were randomly matched according to the ratio of estimated fetal weight(EFW)≥10th percentile(P10)∶EFWP90 in the apical segments of the left ventricle was greater in normal UAPI fetuses than that in low-risk fetuses(24.2%vs.14.3%,P=0.005);the SI of left ventricle in UAPI-normal SGA fetuses was greater in segments S1 to S22 than that of right ventricle with statistically significant difference(all P<0.05),while no significant difference was found between the SI of left and right ventricles in segments S23 and S24.Conclusion About one-fourth of SGA fetuses with normal UAPI have abnormally increased apical segments of the left ventricular SI,suggesting that cardiac remodeling with a predominantly"elongated"apical segments of the left ventricle precedes Doppler anomalies.

Aim To investigate the effect of Panax no-toginseng saponins(PNS)on the interaction between endometrial cancer cells and macrophages by regulating the epidermal growth factor receptor(EGFR)/heat shock protein 27(HSP27)axis.Methods Ishikawa cells were divided into Control,DDP,PNS-treated,M2-CM,M2-CM+DDP,M2-CM+PNS,M2-CM+PNS+oe-NC,M2-CM+PNS+oe-EGFR,PNS(200 mg·L-1)+oe-NC,PNS(200 mg·L-1)+oe-EG-FR,oe-NC,oe-EGFR,oe-EGFR+si-NC,and oe-EG-FR+si-HSP27 groups.MTT assay was used to detect cell proliferation,Transwell assay for cell invasion,TUNEL assay for cell apoptosis,qRT-PCR for macro-phage polarization markers CD86 and CD163 mRNA levels,ELISA for iNOS and IL-12 levels,and West-ern-blot for EGFR and HSP27 protein expression.A nude mouse xenograft tumor model was established and treated with PNS to evaluate the effect of PNS in vivo.Results Compared with the Control group,PNS and DDP significantly inhibited the proliferation and inva-sion of Ishikawa cells and induced apoptosis.M2-CM treatment inhibited M1 macrophage markers,promoted M2 macrophage markers,and induced Ishikawa cell growth,but this effect was reversed by PNS treatment.EGFR was confirmed as a target of PNS,and compared with the M2-CM+PNS+oe-NC group,EGFR overex-pression promoted M2 macrophage marker levels,in-duced Ishikawa cell proliferation and invasion,and in-hibited apoptosis.Knockdown of HSP27 reversed the effect of EGFR overexpression on the biological behav-ior of Ishikawa cells.Animal experiments showed that PNS could inhibit tumor growth and reduce the positive expression of CD163,EGFR,and HSP27 in tumor tis-sues.Conclusion PNS affects the interaction be-tween macrophages and EC cells by regulating the EG-FR/HSP27 axis,thereby participating in EC progres-sion.

Programmed cell death is known to play a crucial role in host defense,with various cell death pathways having u-nique regulatory mechanisms.In recent years,further research into cell death pathways has revealed crosstalk and coordination among them,leading to the proposition of a new cell death path-way:PANoptosis.PANoptosis is believed to be an inflammatory form of programmed cell death regulated by the PANoptosome complex,possessing key features of pyroptosis,apoptosis,and ne-croptosis,and it cannot be solely characterized by any single mode of cell death.PANoptosis is involved in various diseases,such as infectious diseases and tumor-related conditions,where specific triggers can induce host cell death via the PANoptosis pathway.In-depth investigation of PANoptosis promises a better understanding of the complex regulatory network of cell death and may offer new therapeutic targets for diseases.This review provides an overview of the specific mechanisms underlying PANoptosis and its potential roles in various diseases such as cancer,infectious diseases,and cardiovascular disorders.

The immune microenvironment plays a pivotal role in maintaining ovarian homeostasis. Polycystic ovary syndrome (PCOS), a common endocrine and metabolic disorder, is closely associated with immune microenvironment imbalance. This review systematically describes the dysregulation of innate immune cells (e.g., macrophages, natural killer cells and dendritic cells) and adaptive immune cells (e.g., Th1, Th2, Treg and Th17) in PCOS, highlighting their impacts on ovarian function, insulin resistance, and hyperandrogenemia. These findings underscore the central role of immune microenvironment disturbances in PCOS pathogenesis. Additionally, the association between gut microbiota dysbiosis and PCOS is explored, emphasizing how gut microbiota influences metabolic byproducts and hormonal levels to contribute to PCOS development. Furthermore, therapeutic strategies targeting immune microenvironment imbalance such as modulating macrophage polarization, restoring Th1/Th2 and Th17/Treg balance, and ameliorating gut microbiota dysbiosis are discussed, offering novel insights for PCOS immunotherapy. In conclusion, this review comprehensively analyzes the pathogenesis of PCOS from the perspective of the immune microenvironment, aiming to provide a theoretical foundation and reference for future research and clinical practice.

Objective:To evaluate preoperative high-resolution thin-layer cervical enhanced CT used to predict the venous route of the submental flap reflux vein and its relationship with adjacent structures in order to guide the anatomical understanding and protection of submental flap in pharyngeal cancer surgery.Methods:Sixty consecutive patients with pharyngeal cancer who underwent submental flap repair surgery in our department from March 2022 to December 2024, as well as 60 patients who were accepted neck dissection suffering other cancers, were selected. Before surgery, high-resolution cervical enhanced CT scans were performed, and the position of the transverse section of the facial vein in the venous phase horizontal image gradually variation tendency was focused layer by layer. The direction and adjacent relationship of the submental flap reflux veins were determined and recorded. Combined with 60 patients with other head and neck tumors who underwent neck dissection in our department during the same period (a total of 120 cases, 240 sides), the classification and management of the draining veins of Fang′s mental flap were conducted. Type Ⅰ mainly drains into the internal jugular vein; Type Ⅱ mainly drains into the external jugular vein and Type Ⅲ mainly drains into the anterior jugular vein (often accompanied by an external jugular draining branch). The status and proportion of venous drainage were analyzed.Results:Vascular predictive coincidence rate was 98.3% (59/60) among the 60 patients with pharyngeal cancer. Only one patient was predicted to have a simple return to the external jugular vein. However, during the operation, in addition to the main return to the external jugular vein, a small portion also returned to the internal jugular vein. Submental flap reflux vessels were classified into three types based on intraoperative submental flap venous return in 60 cases of laryngopharyngeal cancer, in conjunction with the analysis of venous return patterns from 240 cervical CT scans. Type Ⅰ mainly refluxed to the internal jugular vein, accounting for 42.1%. Type Ⅱ mainly refluxed to the external jugular vein (47.9%). Type Ⅲ mainly refluxed to the anterior jugular vein (10.0%). The total detection rate of CT reading of 240 venous reflux was 98.7% (237/240). Vascular predictive coincidence rate was 97.9%(235/240).Conclusion:The detailed analysis of submental venous return vessels can accurately predict the direction of reflux veins and its surrounding areas by preoperative high-resolution enhanced CT scan. This provides reliable guidance for the anatomy and protection of the submental flap reflux veins during surgery.