Objective To explore the imaging characteristics of lung cancers associated with cystic airspaces (LCCA) and the effects of different treatment regimens. Methods A retrospective analysis was conducted on the clinical and radiological data of LCCA patients who underwent surgical resection and pathological confirmation at the Department of Thoracic Surgery, the First Affiliated Hospital of Soochow University from 2016 to 2023. The relationship between various radiological classifications and clinical pathology was studied. Based on the postoperative adjuvant treatment follow-up results, the effects of different treatment regimens were analyzed. Results A total of 147 patients were included, including 90 males and 57 females, with a median age of 63 (55, 70) years. There were 21 patients of imaging typeⅠ, 50 patients of typeⅡ, 57 patients of type Ⅲ, and 19 patients of type Ⅳ. The lobulation sign or burr sign of typeⅠcyst walls (P=0.004), and intracystic septa (P=0.030) were more commonly seen in the high-aggressiveness group. The components of the cyst walls or nodules of types Ⅰ-Ⅳ in the high-aggressiveness group were mostly solid or sub-solid (P<0.05). Multivariate logistic regression analysis indicated that subsolid cyst wall (OR=4.734, P=0.023), solid cyst wall (OR=97.972, P<0.001), and the lobulation sign or burr sign of the cyst wall (OR=13.215, P=0.024) were independent risk factors for aggressiveness. Fifty-eight patients received adjuvant therapy after surgery, including 22 in the chemotherapy group, 15 in the targeted therapy group, and 21 in the combined therapy group. The progression-free survival of the combined therapy group was better than the other two groups (P=0.045). Conclusion There is a correlation between the imaging features of LCCA and pathological aggressiveness. Compared to postoperative targeted therapy or chemotherapy alone, postoperative chemotherapy combined with targeted therapy can improve the progression-free survival of LCCA patients.

OBJECTIVE To investigate the protective effect of 2-dodecyl-6-methoxy-2，5-diene-1，4-cyclohexanedione （DMDD）， an active component from Averrhoa carambola root， on myocardial injury in diabetic mice based on the nuclear receptor coactivator 4/ferritin heavy chain 1/autophagy-related protein 8 （NCOA4/FTH1/ATG8） axis. METHODS The successfully modeled diabetic mice were randomly divided into model group and DMDD low-， medium-， and high-dose （12.5， 25， 50 mg/kg） groups， while an additional non-modeled control group was established， with 6 mice in each group. Each group received the corresponding drug solution or an equal volume of normal saline intragastically once daily for 21 consecutive days. After the administration， the levels of fasting blood glucose （FBG）， serum lactate dehydrogenase （LDH）， and creatine kinase isoenzyme MB （CK-MB） were measured. Myocardial pathological changes， degree of fibrosis， and myocardial cell ultrastructure were observed. Myocardial cell death index and NCOA4 protein positive index were detected. The protein expression levels of NCOA4， FTH1， ATG8， solute carrier family 7 member 11 （SLC7A11）， and glutathione peroxidase 4 （GPX4） in cardiac tissue were measured. RESULTS Compared with model group， each DMDD group showed significant alleviation of cardiac pathological injury and varying degrees of improvement in the myocardial cell ultrastructure. The FBG and serum LDH and CK-MB levels， the myocardial cell death index and NCOA4 protein positive index，the protein expression levels of NCOA4， FTH1， and ATG8 in cardiac tissue were significantly decreased （ P ＜0.001）， while the protein expression levels of SLC7A11 and GPX4 were significantly increased （ P ＜0.001）. CONCLUSIONS DMDD can reduce blood glucose levels， alleviate myocardial histopathological injury， and inhibit cell death in diabetic mice. The mechanism is associated with inhibiting excessive activation of the NCOA4/FTH1/ATG8 axis and reducing ferritinophagy.

Paraneoplastic neurologic syndromes （PNS） are immune-mediated disorders of the nervous system triggered by cross-immune response induced by tumor-associated antigens. Since high-risk paraneoplastic antibodies are highy associated with malignancies， they have an important clinical value in the early recognition， tumor screening， and prognostic assessment of PNS. The diagnostic criteria updated in 2021 further refined the classification of high-risk antibodies and clarified their value in risk assessment. This article systematically reviews the clinical spectrum， tumor associations， and immunopathogenic mechanisms of neurological disorders associated with the high-risk paraneoplastic antibodies such as anti-Hu， anti-Ri， anti-CV2， anti-Ma2， anti-amphiphysin， anti-Yo， anti-PCA2， anti-Tr， anti-SOX1， and anti-KLHL11 antibodies. Immunotherapy combined with active control of primary tumor is the main treatment strategy for such disease， but with a limited overall therapeutic effect， and early identification is of particular importance. In the era of the wide application of immune checkpoint inhibitors （ICIs）， the risk of ICIs in inducing or exacerbating should be taken seriously in clinical practice. Mechanistic research， multimodal diagnostic approaches， and individualized treatment strategies should be enhanced in the future to improve the prognosis of patients.

BACKGROUND:In recent years,deep learning technologies have been increasingly applied in the field of oral medicine,enhancing the efficiency and accuracy of oral imaging analysis and promoting the rapid development of intelligent oral medicine. OBJECTIVE:To elaborate the current research status,advantages,and limitations of deep learning based on oral imaging in the diagnosis and treatment decision-making of oral diseases,as well as future prospects,exploring new directions for the transformation of oral medicine under the backdrop of deep learning technology. METHODS:PubMed was searched for literature related to deep learning in oral medical imaging published from January 2017 to January 2024 with the search terms"deep learning,artificial intelligence,stomatology,oral medical imaging."According to the inclusion criteria,80 papers were finally included for review. RESULTS AND CONCLUSION:(1)Classic deep learning models include artificial neural networks,convolutional neural networks,recurrent neural networks,and generative adversarial networks.Scholars have used these models in competitive or cooperative forms to achieve more efficient interpretation of oral medical images.(2)In the field of oral medicine,the diagnosis of diseases and the formulation of treatment plans largely depend on the interpretation of medical imaging data.Deep learning technology,with its strong image processing capabilities,aids in the diagnosis of diseases such as dental caries,periapical periodontitis,vertical root fractures,periodontal disease,and jaw cysts,as well as preoperative assessments for procedures such as third molar extraction and cervical lymph node dissection,helping clinicians improve the accuracy and efficiency of decision-making.(3)Although deep learning is promising as an important auxiliary tool for the diagnosis and treatment of oral diseases,it still has certain limitations in model technology,safety ethics,and legal regulation.Future research should focus on demonstrating the scalability,robustness,and clinical practicality of deep learning,and finding the best way to integrate automated deep learning decision support systems into routine clinical workflows.

Objective To investigate the mechanism and optimal concentration of anrotinib on ovarian clear cell carcinoma.Methods Ovarian clear cell carcinoma cells were cultured in vitro,by using renal clear cell carcinoma cells and renal papillary cell carcinoma cells as control cancer cells,and the effects of different concentrations of anlotinib(5,10,15,20μmol/L)on the proliferation,migration,and invasion capabilities of three cancer cell lines were investigated.Compared with the experimental results of renal clear cell carcinoma cells and renal papillary cell carcinoma cells,the advantages of anlotinib on ovarian clear cell carcinoma cells were investigated and advanced its position in clinical practice.Results Anlotinib at the concentrations of 5,10,15,and 20μmol/L can effectively inhibit the proliferation,migration,and invasion ability of ovarian clear cell carcinoma cells,renal clear cell carcinoma cells,and renal papillary cell carcinoma cells.Among them,the optimal action concentration of anlotinib on all three cancer cells fell in the range of 5-10 μmol/L.However,in the three cancer cells,anlotinib was more potent in ovarian clear cell carcinoma cells.Conclusion The effect of anlotinib on ovarian clear cell carcinoma cells has obvious advantages over renal clear cell carcinoma cells and renal papillary cell carcinoma cells,with the optimal concentration of 5-10 μmol/L.

Ferroptosis of chondrocytes is a significant contributor to osteoarthritis(OA),for which there is still a lack of safe and effective therapeutic drugs targeting ferroptosis.Here,we screen for anti-ferroptotic drugs in Food and Drug Administration(FDA)-approved drug library via a high-throughput manner in chondrocytes.We identified a group of FDA-approved anti-ferroptotic drugs,among which vitamin K showed the most powerful protective effect.Further study demonstrated that vitamin K effectively inhibited ferroptosis and alleviated the extracellular matrix(ECM)degradation in chondrocytes.Intra-articular injection of vitamin K inhibited ferroptosis and alleviated OA phenotype in destabilization of the medial meniscus(DMM)mouse model.Mechanistically,transcriptome sequencing and knockdown experiments revealed that the anti-ferroptotic effects of vitamin K depended on growth arrest-specific 6(Gas6).Furthermore,exogenous expression of Gas6 was found to inhibit ferroptosis through the AXL receptor tyrosine kinase(AXL)/phosphatidylinositol 3-kinase(PI3K)/AKT serine/threonine kinase(AKT)axis.Together,we demonstrate that vitamin K inhibits ferroptosis and alleviates OA progression via enhancing Gas6 expression and its downstream pathway of AXL/PI3K/AKT axis,indicating vitamin K as well as Gas6 to serve as a potential therapeutic target for OA and other ferroptosis-related diseases.

BackgroundThe distressingly high prevalence of depressive symptoms among adolescents exerts profound impacts on their physical and psychological development， urgently necessitating effective preventive interventions. Existing studies， however， have predominantly focused on isolated risk factors， neglecting to construct an integrated model that systematically disentangles the intricate relationships linking parenting styles， learning burnout， and childhood trauma to adolescent depressive symptoms. Moreover， the potential protective roles of social support and psychological resilience in this context remain insufficiently elucidated. ObjectiveTo construct a structural equation model encompassing multiple pathways to unravel the comprehensive mechanisms through which negative parenting styles， childhood trauma， learning burnout， psychological resilience， and social support collectively influence adolescent depressive symptoms， thereby providing evidence-based intervention strategies. MethodsA stratified sampling technique was utilized to recruit 5 865 students from 12 middle schools in Chengdu City， Sichuan Province from March to May 2022. Participants were assessed using the following validated instruments： the Short-form Egna Minnen av Barndoms Uppfostran （s-EMBU）， the Childhood Trauma Questionnaire-Short Form （CTQ-SF）， the Adolescent Student Burnout Inventory， the Patients' Health Questionnaire Depression Scale-9 item （PHQ-9）， the Social Support Rating Scale （SSRS），and the Connor-Davidson Resilience Scale （CD-RISC）. A partial least squares structural equation modeling （PLS-SEM） approach was employed to construct a predictive framework examining the complex network of pathways through which negative parenting styles， childhood trauma， learning burnout， psychological resilience，and social support collectively influence depressive symptoms in adolescents. ResultsThe PHQ-9 scores demonstrated significant positive correlations with the scores on s-EMBU overprotection subscale （r=0.272， P<0.01）， s-EMBU rejection subscale （r=0.368， P<0.01）， CTQ-SF （r=0.288， P<0.01） and Adolescent Student Burnout Inventory （r=0.587， P<0.01）. Conversely， significant negative correlations were observed between PHQ-9 scores and both SSRS （r=-0.532， P<0.01） and CD-RISC scores （r=-0.418， P<0.01）. Negative parenting styles （β=0.113， 95% CI： 0.087-0.138） and learning burnout （β=0.339， 95% CI： 0.315-0.364） emerged as significant positive predictors of depressive symptoms， with childhood trauma mediating the relationship between negative parenting styles and depressive symptoms （effect size=0.018， 95% CI： 0.013-0.024）. Social support servesed as a mediating pathway between negative parenting styles and depressive symptoms （β=0.080， 95% CI： 0.069-0.092）， as well as between negative parenting styles and childhood trauma （β=0.041， 95% CI： 0.032-0.050）. It also functioned as an intermediary pathway linking learning burnout to depressive symptoms （β=0.092， 95% CI： 0.081-0.104） and connecting learning burnout with childhood trauma （β=0.048， 95% CI： 0.037-0.058）. Additionally， psychological resilience serveed as a mediating pathway between negative parenting styles and depressive symptoms （β=0.004， 95% CI： 0.002-0.007）， between learning burnout and depressive symptoms （β=0.037， 95% CI： 0.023-0.052）， and between childhood trauma and depressive symptoms （β=0.003， 95% CI： 0.001-0.006）. ConclusionLearning burnout exerts a direct effect on adolescent depressive symptoms. Negative parenting styles influence depressive symptoms both directly and indirectly through childhood trauma. Furthermore， social support and psychological resilience serve as mediator linking negative parenting styles and learning burnout to depressive symptoms in adolescents. ［Funded by Science and Technology Project of the Health Commission of Sichuan Province （number， 24LCYJPT18）］

Natural polysaccharides have important physiological effects on immune regulation,and their effects on natural and ac-quired immunity are worthy of further discussion.Natural polysaccharides can regulate the innate immune system by regulating macro-phages,natural killer cells,inflammatory response,physiological barrier,complement system,and oxidation of the body,and they can also regulate the adaptive immune system by regulating humoral immunity and cellular immunity.Therefore,this article reviews the re-search advances in the role of natural polysaccharides in innate immunity and adaptive immunity,in order to provide new ideas for fur-ther research.

Tumor microenvironment(TME)is the cellular environment for tumor development,growth,and metastasis.Adenosine(ADO)is an immunosuppressive metabolic product that is continuously upregulated in TME,with various types and wide distribution of receptors.The complex and dynamic interactions between ADO and tumor cells constantly influence tumor progression.ADO can di-rectly or indirectly promote tumor development and progression by promoting tumor generation and metastasis,mediating the immune escape of tumor,and modulating tumor-infiltrating immune cells.Based on the characteristics of ADOs in TME,this article reviews the latest advances in the dynamic alterations of ADO in TME,in order to provide insights into tumor treatment targeting the ADO pathway.

Ferroptosis of chondrocytes is a significant contributor to osteoarthritis (OA), for which there is still a lack of safe and effective therapeutic drugs targeting ferroptosis. Here, we screen for anti-ferroptotic drugs in Food and Drug Administration (FDA)-approved drug library via a high-throughput manner in chondrocytes. We identified a group of FDA-approved anti-ferroptotic drugs, among which vitamin K showed the most powerful protective effect. Further study demonstrated that vitamin K effectively inhibited ferroptosis and alleviated the extracellular matrix (ECM) degradation in chondrocytes. Intra-articular injection of vitamin K inhibited ferroptosis and alleviated OA phenotype in destabilization of the medial meniscus (DMM) mouse model. Mechanistically, transcriptome sequencing and knockdown experiments revealed that the anti-ferroptotic effects of vitamin K depended on growth arrest-specific 6 (Gas6). Furthermore, exogenous expression of Gas6 was found to inhibit ferroptosis through the AXL receptor tyrosine kinase (AXL)/phosphatidylinositol 3-kinase (PI3K)/AKT serine/threonine kinase (AKT) axis. Together, we demonstrate that vitamin K inhibits ferroptosis and alleviates OA progression via enhancing Gas6 expression and its downstream pathway of AXL/PI3K/AKT axis, indicating vitamin K as well as Gas6 to serve as a potential therapeutic target for OA and other ferroptosis-related diseases.