Objective : To investigate the effects of resveratrol(Res) on fibroblast-like synoviocytes(FLS) in patients with rheumatoid arthritis(RA), and to explore the possible mechanism of Res inhibiting the release of inflammatory factors from FLS. Methods : FLS from RA patients were culturedin vitroand treated with different concentrations of Res(0, 20, 40, 80, 160, 320 μmol/L). The viability of FLS cells was detected by CCK-8 assay after 12 and 24 h. The contents of inflammatory factor interleukin-6(IL-6) and tumor necrosis factor-α(TNF-α) in cell supernatant were detected by ELISA. The expression levels of cyclic guanosine monophosphate-adenosine monophosphate synthase(cGAS) and stimulator of interferon gene(STING) were measured by Western blot; After lentivirus infection with FLS caused the cells to overexpress cGAS, the cells were divided into Control group(blank control), cGAS group(cGAS overexpression), Res+cGAS group(Res 160 μmol/L+cGAS overexpression) and Res group(Res 160 μmol/L). The expression level of STING protein in cells of each group was determined by Western blot, the viability of FLS cells in each group was detected by CCK-8, and the contents of inflammatory factor IL-6 and TNF-α in the supernatant of cells of each group were detected by ELISA method. Results : The results of CCK-8 experiment showed that under 40, 80, 160 μmol/L Res treatment, FLS viability decreased significantly after 24 h compared with blank control group(P<0.01). ELISA results showed that the contents of IL-6 and TNF-α in cell supernatant were also significantly decreased after treatment with Res of 40, 80 and 160 μmol/L(P<0.01). Meanwhile, Western blot results showed that Res could significantly decrease the protein expression levels of STING and cGAS in FLS cells after treatment of 40, 80 and 160 μmol/L(P<0.05,P<0.01). Compared with the Control group, the expression level of STING protein in FLS increased after overexpression of cGAS(P<0.05); compared with the Res group, the content of inflammatory factors in the supernatant of FLS and the expression level of STING protein in FLS significantly increased after overexpression of cGAS(P<0.01,P<0.05). Conclusion The appropriate concentration of Res can inhibit the release of inflammatory cytokines in FLS cells, which may be related to the blocking of cGAS-STING signaling pathway.

Objective To predict the lymph node metastasis status of patients with invasive pulmonary adenocarcinoma by constructing machine learning models based on primary tumor radiomics, peritumoral radiomics, and habitat radiomics, and to evaluate the predictive performance and generalization ability of different imaging features. Methods A retrospective analysis was performed on the clinical data of 1 263 patients with invasive pulmonary adenocarcinoma who underwent surgery at the Department of Thoracic Surgery, Jiangsu Province Hospital, from 2016 to 2019. Habitat regions were delineated by applying K-means clustering (average cluster number of 2) to the grayscale values of CT images. The peritumoral region was defined as a uniformly expanded area of 3 mm around the primary tumor. The primary tumor region was automatically segmented using V-net combined with manual correction and annotation. Subsequently, radiomics features were extracted based on these regions, and stacked machine learning models were constructed. Model performance was evaluated on the training, testing, and internal validation sets using the area under the receiver operating characteristic curve (AUC), F1 score, recall, and precision. Results After excluding patients who did not meet the screening criteria, a total of 651 patients were included. The training set consisted of 468 patients (181 males, 287 females) with an average age of (58.39±11.23) years, ranging from 29 to 78 years, the testing set included 140 patients (56 males, 84 females) with an average age of (58.81±10.70) years, ranging from 34 to 82 years, and the internal validation set comprised 43 patients (14 males, 29 females) with an average age of (60.16±10.68) years, ranging from 29 to 78 years. Although the habitat radiomics model did not show the optimal performance in the training set, it exhibited superior performance in the internal validation set, with an AUC of 0.952 [95%CI (0.87, 1.00)], an F1 score of 84.62%, and a precision-recall AUC of 0.892, outperforming the models based on the primary tumor and peritumoral regions. Conclusion The model constructed based on habitat radiomics demonstrated superior performance in the internal validation set, suggesting its potential for better generalization ability and clinical application in predicting lymph node metastasis status in pulmonary adenocarcinoma.

BACKGROUND: Ferroptosis-related genes play a crucial role in regulating intracellular iron homeostasis and lipid peroxidation, and they are involved in the regulation of tumor growth and drug resistance. The expression of ferroptosis-related genes in tumor tissues can be used to predict patients' future survival times, aiding doctors and patients in anticipating disease progression. Based on the sequencing data of lung adenocarcinoma (LUAD) patients from The Cancer Genome Atlas (TCGA) database, this study identified genes involved in the regulation of ferroptosis, constructed a prognostic model, and evaluated the predictive performance of the model. METHODS: A total of 1467 ferroptosis-related genes were obtained from the GeneCards database. Gene expression profiles and clinical data from 541 LUAD patients were collected from the TCGA database. The expression data of all ferroptosis-related genes were extracted, and differentially expressed genes were identified using R software. Survival analysis was performed on these genes to screen for those with prognostic value. Subsequently, a prognostic risk scoring model for ferroptosis-related genes was constructed using LASSO regression model. Each LUAD patient sample was scored, and the patients were divided into high-risk and low-risk groups based on the median score. Receiver operating characteristic (ROC) curves were plotted, and the area under the curve (AUC) was calculated. Kaplan-Meier survival curves were generated to assess model performance, followed by validation in an external dataset. Finally, univariate and multivariate Cox regression analyses were conducted to evaluate the independent prognostic value and clinical relevance of the model. RESULTS: Through survival analysis, 121 ferroptosis-related genes associated with prognosis were initially identified. Based on this, a LUAD prognostic risk scoring model was constructed using 12 ferroptosis-related genes (ALG3, C1QTNF6, CCT6A, GLS2, KRT6A, LDHA, NUPR1, OGFRP1, PCSK9, TRIM6, IGF2BP1 and MIR31HG). The results indicated that patients in the high-risk group had significantly shorter survival time than those in the low-risk group (P<0.001), and the model demonstrated good predictive performance in both the training set (1-yr AUC=0.721) and the external validation set (1-yr AUC=0.768). Risk scores were significantly associated with the prognosis of LUAD patients in both univariate and multivariate Cox regression analyses (P<0.001), suggesting that this score is an important prognostic factor for LUAD patients. CONCLUSIONS This study successfully established a LUAD risk scoring model composed of 12 ferroptosis-related genes. In the future, this model is expected to be used in conjunction with the tumor-node-metastasis (TNM) staging system for prognostic predictions in LUAD patients.
Humans ; Ferroptosis/genetics* ; Prognosis ; Adenocarcinoma of Lung/pathology* ; Lung Neoplasms/pathology* ; Male ; Female ; Gene Expression Regulation, Neoplastic ; Middle Aged ; ROC Curve

Metastasis serves as an indicator of malignancy and is a biological characteristic of carcinomas. Epithelial-mesenchymal transition (EMT) plays a key role in the promotion of tumor invasion and metastasis and in the enhancement of tumor cell aggressiveness. Prostaglandin E synthase 3 (p23) is a cochaperone for heat shock protein 90 (HSP90). Our previous study showed that p23 is an HSP90-independent transcription factor in cancer-associated inflammation. The effect and mechanism of action of p23 on lung cancer metastasis are tested in this study. By utilizing cell models in vitro and mouse tail vein metastasis models in vivo, the results provide solid evidence that p23 is critical for promoting lung cancer metastases by regulating downstream CXCL1 expression. Rather than acting independently, p23 forms a complex with RNA-binding motif protein 14 (RBM14) to facilitate EMT progression in lung cancer. Therefore, our study provides evidence for the potential role of the RBM14-p23-CXCL1-EMT axis in the metastasis of lung cancer.

Objective:To establish a risk prediction model of liver failure after liver resection for hepatocellular carcinoma.Method:A retrospective case-control study was designed. Clinical data and laboratory results, including gender, age, and preoperative 18 laboratory indicators, were collected from 320 patients with hepatocellular carcinoma undergoing liver resection in Eastern Hepatobiliary Surgery Hospital Affiliated to Naval Medical University from January 1, 2013 to December 31, 2023. According to the surgical time, 252 cases in the training cohort were divided into 62 and 190 cases with and without postoperative liver failure, respectively. Of the 68 cases in validation cohort, 34 developed postoperative liver failure and 34 did not. Binary Logistic regression analysis was used to conduct univariate analysis of gender, age, and 18 preoperative laboratory indicators, and multivariate analysis was carried out for significant results to determine the influencing factors of liver failure after liver resection for hepatocellular carcinoma, and Logistic regression model was established.Result:In the training cohort, indicators significantly associated with liver failure after liver resection for hepatocellular carcinoma included age ( P=0.016), platelets ( P=0.005), prealbumin ( P<0.001), and alkaline phosphatase ( P<0.001). Logistic regression was used to construct a nomogram model and draw a calibration curve by combining these four indicators. In the training cohort, the nomogram model showed good discriminability in predicting the risk of liver failure after hepatectomy for hepatocellular carcinoma. The area under the curve of was 0.82 (95% CI 0.76-0.88), and the sensitivity was 73% and specificity was 80% when the optimal cut-off value was 0.2646. In the validation cohort, the predictive performance of the nomogram model was comparable to that of the training cohort, with an area under the curve of 0.81 (95% CI 0.71-0.92), sensitivity of 82%, and specificity of 77%. Conclusion:Preoperative platelet and prealbumin decreases, alkaline phosphatase increases, and elderly patients are prone to liver failure after liver resection. The nomogram model constructed with preoperative test data has shows good discriminatory ability and accuracy in predicting liver failure after liver resection for hepatocellular carcinoma.

Intersphincteric resection (ISR) is an advanced sphincter-preserving surgery for low rectal cancer. Accumulating evidences from clinical studies indicate that ISR can spare some pati-ents with low rectal cancer from the distress of anal amputation while ensuring oncological efficacy. However, due to the necessity of removing part or all of the internal sphincter during rectal resection and the extremely low anastomosis level, a subset of patients may experience low anterior resection syndrome (LARS) after surgery. LARS is characterized by symptoms such as anal incontinence, increased bowel frequency, urgency, incomplete evacuation, and obstructed defecation. Based on relevant literature and team practice, the authors provide an overview of the diagnosis and treat-ment progress of LARS following ISR.

Innate and adaptive immune responses initiated by infection depend on recognition and control of pathogens by macrophages,dendritic cells,T cells and so on.Notch signaling pathway is a highly conserved pathway,which is activated by interac-tion of receptors and ligands,thus coordinating important life processes of cells.At present,it has been confirmed that Notch signaling pathway is involved in development,differentiation,maturation and activation of many kinds of immune cells,and plays an important role in infectious diseases.In this review,we mainly focus on the role of Notch signaling pathway in immune regulation during different pathogens infection and its interaction with other signaling pathways.Additionally,therapeutic methods and challenges of developing Notch signaling as a target in infectious diseases are also discussed.

Objective To explore the mechanism of Gualou Xiebai Baijiu Decoction(GXB)in improving atherosclerosis(AS)in mice by regulating the gut microbiota(GM)and its metabolites.Methods Thirty-two male ApoE-/-mice were divided randomly into a Blank group,Model group,atorvastatin(Ato)group,and GXB group(n=8 mice per group).AS was established in all mice,except the Blank group,and the respective treatments were administered by gavage.Aortic plaques were detected by Oil red O staining and pathological changes in aortic tissue were detected by hematoxylin and eosin staining.The GM was analyzed using 16S rRNA gene sequencing technology,and mouse GM metabolites,including trimethylamine oxide(TMAO),short-chain fatty acids(SCFA),and serum levels of triglycerides(TG),total cholesterol(TC),low-density lipoprotein cholesterol(LDL-C),high-density lipoprotein cholesterol(HDL-C),and nitric oxide(NO)were determined.Results Compared with the Blank group,mice in the Model and Ato groups showed an increase in AS plaque area(P＜0.05).Serum levels of TG,TC,and LDL-C were increased(P＜0.001)while levels of HDL-C and NO were decreased(P＜0.01,P＜0.001)in the Model group compared with the Blank group.The plaque area was decreased(P＜0.05),serum levels of TG,TC,and LDL-C were decreased(P＜0.001),and NO levels were increased(P＜0.01)in the Ato and GXB groups,while HDL-C levels were increased in the GXB group(P＜0.05)compared with the Model group.Plaque area was decreased(P＜0.05)and the NO level was increased(P＜0.01)in the GXB group compared with the Ato group.A total of 6345 characteristic sequences were obtained from 16S rRNA analysis.α-Diversity analysis indicated that GXB reduced the richness of the GM in AS mice(P＜0.001)and improved its uniformity(P＜0.05).β-Diversity analysis suggested that the microbial community structure in the GXB group was similar to that in the Blank group.The abundance of microbial communities differed among the groups at the phylum and genus levels.At the phylum level,the abundance of Proteobacteria was increased(P＜0.01)in AS mice,while GXB intervention reduced the abundance of Proteobacteria(P＜0.01)and increased the abundance of Verrucomimicrobiota(P＜0.05).At the genus level,GXB effectively increased the abundance of Akkermansia(P＜0.05).SCFAs were significantly increased(P＜0.01)and TMAO levels were significantly decreased(P＜0.01)in the GXB group compared with the Model group.Conclusions GXB can regulate the intestinal flora and intestinal flora metabolites SCFA and TMAO to improve AS.Akkermansia may be a key bacterial genus of the gut microbiota through which GXB may improve AS.

Objective:To investigate the alteration of glymphatic system based on diffusion tensor image-analysis along the perivascular space(DTI-ALPS)in bipolar disorder Ⅰ(BD-Ⅰ).Methods:A total of 44 BD-Ⅰ patients(BD-Ⅰ group) admitted to the Affiliated Brain Hospital of Guangzhou Medical University from January 2012 to December 2017 were selected.In addition, totally 30 healthy controls (HC group) were recruited. The diffusion tensor image data were analyzed retrospectively, and along the perivascular space (ALPS) index was calculated. Hamilton anxiety scale (HAMA), 17-item Hamilton depression rating scale (HAMD-17), Young mania rating scale (YMRS) and global assessment function (GAF) were used to evaluate the severity of anxiety, depression, mania and social function respectively. SPSS 25.0 software was used for t-test, Z-test and chi-square test, and the differences in clinical data and DTI-ALPS index between the two groups were compared. The partial correlation test was used to analyze the correlations between DTI-ALPS index and the clinical indicators such as HAMA, HAMD-17, YMRS and GAF. Results:The DTI-ALPS indexes in left(1.69±0.17), right(1.44±0.15) and bilateral cerebral hemispheres(1.56±0.15) of BD-Ⅰ group were lower than those in HC group ((1.71±0.15), (1.46±0.13) and (1.58±0.12)), but the differences were not statistically significant ( t=-0.441, -0.545, -0.556, all P>0.05). After controlling for gender, age, years of education and course of disease, there were significant negative correlations between bilateral average DTI-ALPS index and somatic anxiety ( r=-0.334, P=0.038), as well as between right DTI-ALPS index and somatic anxiety( r=-0.349, P=0.030) in BD-Ⅰ group. Conclusion:The dysfunction of cerebral glymphatic system is not obvious in BD-Ⅰ patients, but their anxiety may be related to dysfunction cerebral glymphatic system.

Background and objective Lung cancer is a leading cause of cancer-related deaths.Non-small cell lung cancer(NSCLC)is the most common pathological subtype,with adenocarcinoma being the predominant type.FAT atypical cadherin 1(FAT1)is a receptor-like protein with a high frequency of mutations in lung adenocarcinoma.The protein encoded by FAT1 plays a crucial role in processes such as cell adhesion,proliferation,and differentiation.This study aims to investigate the expression of FAT1 in lung adenocarcinoma and its relationship with immune infiltration.Methods Gene expression levels and relevant clinical information of 513 lung adenocarcinoma samples and 397 adjacent lung samples were obtained through The Cancer Genome Atlas(TCGA)and Genotype-Tissue Expression(GTEx)data.The mRNA expression levels of the FAT1 gene in lung adenocarcinoma tissues were analyzed,along with its association with the prognosis of lung adenocarcinoma patients.Pathway enrichment analysis was conducted to explore the signaling pathways regulated by the FAT1 gene.Immu-noblotting was used to detect the differential expression of FAT1 in lung epithelial cells and various lung cancer cell lines,while immunohistochemistry was employed to assess FAT1 expression in lung cancer and adjacent tissues.Results FAT1 gene muta-tions were identified in 14%of lung adenocarcinoma patients.TCGA database data revealed significantly higher FAT1 mRNA expression in lung adenocarcinoma tissues compared to adjacent lung tissues.Kaplan-Meier analysis indicated lower survival rates in lung adenocarcinoma patients with higher FAT gene expression.Pathway enrichment analysis suggested the involve-ment of FAT1 in tumor development pathways,and its expression was closely associated with immune cell infiltration.Immu-nohistochemical validation demonstrated significantly higher expression of FAT1 in cancer tissues compared to adjacent lung tissues.Conclusion FAT1 mRNA is highly expressed in lung adenocarcinoma tissues,and elevated FAT1 mRNA expression is associated with poor prognosis in lung adenocarcinoma patients.FAT1 may serve as a potential biomarker for lung cancer.