Objective:To investigate the prognostic value of the combined preoperative albumin-globulin score (AGS) and skeletal muscle index (SMI), referred to as the CAS classification, in predicting postoperative outcomes in patients with pancreatic cancer.Methods:The clinical data from 265 patients who underwent surgical treatment and were pathologically confirmed to have pancreatic cancer at the Affiliated Hospital of Qingdao University between January 2012 and December 2022 were retrospectively analyzed. Patients were randomly divided into a training group ( n=184) and a validation group ( n=81) in a 7∶3 ratio. Patients' age, gender, body mass index (BMI), smoking history, alcohol consumption history, previous history of metabolic diseases, AGS, SMI, and CAS classifications within 7 days before surgery, preoperative upper abdominal CT imaging features, presence of vascular and neural invasion, and lymph node metastasis were recorded. Patients with AGS grade 0 were classified into the low AGS group ( n=48), while those with AGS grades 1 and 2 were classified into the high AGS group ( n=136). The optimal cutoff value for SMI was determined using X-tile software: male patients with SMI>42.6 cm 2/m 2 or female patients with SMI>37.8 cm 2/m 2 were categorized into the high SMI group ( n=125), while those below these thresholds were categorized into the low SMI group ( n=59). Patients with AGS grade 0 and SMI>42.6 cm 2/m 2 for males or >37.8 cm 2/m 2 for females were classified into the CAS grade 1 group (n=32). Patients with AGS grades 1 or 2 and SMI ≤42.6 cm 2/m 2 for males or ≤37.8 cm 2/m 2 for females were classified into the CAS grade 3 group ( n=43). The remaining patients were classified into the CAS grade 2 group ( n=109). Clinical characteristics were compared across these groups. Cumulative survival rates were estimated using the Kaplan-Meier method, and survival curves were plotted to analyze the relationship between AGS, SMI, and CAS classifications and overall survival after pancreatic cancer surgery. Differences among groups were assessed using the Log-Rank test. Receiver operating characteristic curves (ROC) were plotted, and the area under the curve (AUC) was calculated to evaluate the predictive efficacy of AGS, SMI, and CAS on postoperative survival. Results:Compared to the high AGS group, the low AGS group exhibited higher SMI values [(46.17±9.63) cm 2/m 2vs (44.11±7.43) cm 2/m 2], and a lower incidence of lymph node metastasis (16 vs 66, 33.3% vs 48.5%). The mortality rate in the low AGS group was 50.0%(24/48), significantly lower than the 70.6% (96/136) observed in the high AGS group, with a median overall survival of 22.08 months (95% CI 16.87-29.62) longer than 13.1 months (95% CI 8.84-18.82) in high AGS group. Compared to the low SMI group, the high SMI group had a lower prevalence of metabolic diseases (26.4% vs 44.1%). The mortality rate in the low SMI group was 78.0% (46/59), higher than the 58.4% (73/125) in the high SMI group, with a median overall survival of 12.97 months (95% CI 9.37-18.20) obviously shorter than 16.20 months (95% CI 10.7-24.12) in high SMI group. Lymph node metastasis rate for CAS grade 1, 2, and 3 was 34.4% ( n=11), 44.0% ( n=48), and 62.8% ( n=27), respectively, with corresponding mortality rate of 34.3% (11/32), 67.9% (74/109), and 79.1% (34/43), and median overall survival time of 25.55 months (95% CI 19.49-30.07), 14.10 months (95% CI 10.22-19.14), and 12.5 months (95% CI 8.53-18.00), respectively. All the differences were statistically significant (all P value <0.05). Kaplan-Meier survival analyses demonstrated that patients in the low AGS group had significantly longer overall survival than those in the high AGS group in both the training and validation cohorts. Similarly, patients in the high SMI group had longer overall survival compared to those in the low SMI group. Notably, patients in CAS grade 1 exhibited the longest overall survival, whereas those in CAS grade 3 had the shortest. ROC curve analysis revealed that the AUC for CAS classification was superior in the training cohort (0.649) compared to AGS (0.588) and SMI (0.593), and in the validation cohort (0.644) compared to AGS (0.587) and SMI (0.577). Conclusions:CAS classification could effectively predict postoperative prognosis in pancreatic cancer patients, with higher CAS grades correlating with poorer outcomes.

Objective:To study the common pathogenesis of gout and rheumatoid arthritis(RA)by bioinformatics analysis.Methods:Microarray expression profiles of peripheral blood mononuclear cells in gout and RA were obtained from the GEO public da-tabase.R language and other tools were used to re-annotates the chip,and then the differential genes(DEGs)of the two were screened and the intersection was taken.The protein-protein interaction(PPI)network and topology analysis of common differential genes(CO-DEGs)were constructed by STRING database and Cytoscape software(including CytoNCA plug-in).The HubGene was screened and validated by ROC curve.Finally,the DAVID online analysis tool was used to perform GO and KEGG functional enrichment analysis of HubGene.Results:There were 9 HubGene screened,they were TNF,RGS1,CD69,IL7R,DDX3X,SOCS3,IFIT1,IFIT3,CCL3.GO enrichment showed that HubGene was mainly involves the regulation of virus,STAT receptor signaling pathway and positive regu-lation of neuroinflammatory response.KEGG enrichment showed that HubGene was mainly involved in Toll like receptor signaling pathway,TNF signaling pathway,JAK-STAT signaling pathway,adipocytokine signaling pathway,RIG-Ⅰ-like receptor signaling pathway and osteoclast differentiation.Conclusion:Using bioinformatics analysis,nine HubGene and related signaling pathways in-volved in the pathogenesis of gout and RA have been identified,which may serve as novel biomarkers and potential targets.

Objective:This study aims to establish an early warning diagnosis model for acute exacerbation of chronic obstructive pulmonary disease (AECOPD) and to provide a simple, rapid, and accurate auxiliary diagnosis basis for clinical practice.Methods:The sample bank of subjects (patients admitted to the Eighth Medical Center of the PLA General Hospital from September 10, 2021, to July 25, 2023) was constructed, including the model establishment cohort [SCOPD group 49, 42 males and 7 females, (69.71±11.16) years old; AECOPD group 53, 49 males and 4 females, (72.60±10.19) years old] and the model validation cohort [SCOPD group 35, 28 males and 7 females, (69.97±10.40) years old; AECOPD group 35, 33 males and 2 females, (71.43±9.67) years old]. Fasting peripheral blood samples were collected, and the expression levels of IL-5, IL-17A, and IFN-α were detected by flow cytometry. Different expression levels were analyzed by Mann-Whitney U test. Binary logistic regression analysis was used to screen the related risk factors of COPD patients in acute exacerbation. The diagnostic efficacy of the model was evaluated by the receiver operating characteristic (ROC) curve.Results:The levels of IL-5 [1.64 (0.60, 2.86) pg/ml], IL-17A [1.42 (0.88, 2.29) pg/ml], and IFN-α [0.91 (0.59, 1.81) pg/ml] in the SCOPD group were significantly decreased compared with the AECOPD group IL-5 [4.68 (2.34, 9.40) pg/ml, Z=-5.033, P<0.001], IL-17A [2.33 (1.59, 4.62) pg/ml, Z=-3.919, P<0.001], IFN-α [2.83 (0.91, 3.75) pg/ml, Z=-4.127, P<0.01] in the cohort of model establishment. The results of binary logistic regression analysis between SCOPD and AECOPD groups showed that IL-5, IL-17A, and IFN-α were independent risk factors for acute exacerbation of patients with COPD ( P<0.05). And the regression equation is Y=-2.861+0.364×IL-5+0.385×IL-17A+0.445×IFN-α. The AUC value of IL-5, IL-17A, IFN-α and combined detection was 0.866 ( P<0.001). Compared to the SCOPD group and the AECOPD group in the cohort of model validation, the receiver operating characteristic (ROC) curve showed that the combined model of three (AUC=0.858, P<0.001) could be used to diagnose the AECOPD. And the Kappa value was 0.773( P<0.05). Conclusion:The combined detection of IL-5, IL-17A, and IFN-α has high diagnostic efficacy for patients with acute exacerbation of COPD. This method provides a new potential tool for the clinical diagnosis of AECOPD and has the value of further exploration and optimization, promotion, and application.

Objective:To investigate the effect and associated mechanism of tumor tissue-infiltrating NK cells after receiving radiotherapy for hepatocellular carcinoma (HCC).Methods:A HCC tumor-bearing mouse model was constructed using human hepatocellular carcinoma cell line (SK-Hep-1) and divided into four groups: control, radiotherapy, NK cell clearance, and NK clearance combined with radiotherapy. Tumor growth condition was simultaneously recorded. The NK cell ratio in peripheral blood and the NK cell intratumoral infiltration condition were detected by flow cytometry and immunohistochemistry. Lentiviral-constructed SK-Hep-1 cells was used to detect the effect of radiotherapy on the regulation of CXCL10 and NK cell chemotaxis following EZH2 overexpression. SK-Hep-1 cells were irradiated in vitro and in vivo. The expression levels of EZH2 and CXCL10 mRNA and protein in the two groups of cell lines and mouse tumor tissues were detected by reverse transcription polymerase chain reaction (RT-PCR), enzyme-linked immunosorbent assay (ELISA), western blotting (WB), and immunohistochemistry. The chemotaxis and blocking experiments were used to validate the chemotaxis effect of CXCL10 on NK cells. The independent sample t-test was used to compare the groups. P<0.05 was considered statistically significant. Results:The HCC tumor-bearing mouse model experiment showed that HCC tumor growth was most remarkable in the NK clearance combined with the radiotherapy group compared to the radiotherapy group ( P<0.05). Compared with the control group, the number of NK cells in the peripheral blood of nude mice in the radiotherapy group was significantly reduced, while the NK cell intratumoral infiltration was significantly increased ( P<0.05). Flow cytometry and immunohistochemistry showed invitro and invivo expressional alterations. The average expression levels of EZH2 mRNA and protein in hepatocellular carcinoma cell lines and tumor tissues were decreased in the radiotherapy group than the control group and mouse tumor tissues ( P<0.05), while the mRNA and protein expression levels of CXCL10 increased ( P<0.05). The cell supernatant following radiotherapy enhanced NK cell chemotaxis but inhibited CXCL10 neutralization. EZH2 overexpression validated that radiotherapy up-regulated CXCL10 mRNA and down-regulated protein expression levels in in vitro and in vivo experiments ( P<0.05). The chemotactic effect on NK cells was significantly weakened with EZH2 overexpression following radiotherapy. Conclusion:NK cells, as immune effector cells, are directly involved in radiotherapy- activated anti-HCC immunity. Importantly, radiotherapy inhibits EZH2 expression in hepatocellular carcinoma, thereby upregulating CXCL10 expression and enhancing intratumoral NK cell invasion.

Objective:To assess the predictive value of a combined multiclassification model for computed tomography(CT)in the patholo-gical analysis of ground-glass nodules(GGN).Methods:Pulmonary GGN lesions that were pathologically confirmed as invasive adenocar-cinoma(IAC),minimally invasive adenocarcinoma(MIA),adenocarcinoma in situ(AIS),and preinvasive lesions(PILs),were collected from pa-tients who were treated at The First Affiliated Hospital of Xinxiang Medical University between February 2019 and March 2023.A total of 324 nodules were retrospectively collected from 285 patients,and divided into three groups:infiltrating IAC,MIA,and PILs.Radiomics and clinical-CT features were selected through recursive feature elimination and univariate Logistic regression.Seven models were constructed using Logistic regression(LR),support vector machine(SVM),random forest(RF),and integrative learning(stacking).Results:The hybrid model combining clinical-CT-radiomics features and an integrative strategy showed superior predictive performance,with an accuracy of 0.791,precision of 0.788,specificity of 0.857,recall of 0.790,and F1-Score of 0.789.Conclusions:The multiclassification joint model based on CT-radiomics is effective in predicting pathological classification of pulmonary GGNs.This model aids in accurate imaging diagnosis and can provide a basis for optimizing treatment plans.

Objective:To study the clinical manifestations and genetic characteristics of neonatal-onset primary mitochondrial disease (PMD) caused by nuclear gene mutations.Methods:From May 2020 to March 2022, the clinical data, genetic results and follow-up information of neonates with PMD admitted to the Department of Neonatology of our two hospitals were retrospectively analyzed.Results:A total of 4 patients were enrolled, all with hyperlactatemia and metabolic acidosis. In case 1, the fetal cranial MRI showed agenesis of corpus callosum. In case 2, echocardiography after birth indicated hypertrophic cardiomyopathy. Whole exome sequencing found the following mutations: EARS2 nuclear gene c.1294C>T and c.971G>T variants, COA6 nuclear gene c.411_412insAAAG variant, ACAD9 nuclear gene c.1278+1G>A and c.895A>T variants, FOXRED1 nuclear gene c.1054C>T and c.3dup variants. Mitochondrial second-generation sequencing and multiplex ligation-dependent probe amplification showed no abnormalities. Cases 1 and 3 died during the neonatal period. Case 2 died at 2-year-and-2-month of age. Case 4 was followed up to 1 year of age with developmental delay.Conclusions:The main phenotypes of neonatal-onset PMD caused by nuclear gene mutations are hyperlactatemia, refractory metabolic acidosis and cardiomyopathy, which have a poor prognosis. Proactive genetic tests are helpful for early diagnosis.

AIM:One of the important characteristics of the occurrence and development of triple-negative breast cancer(TNBC)is dysregulated cell metabolism.The aim of this study is to investigate the mechanism of pyruvate dehydrogenase E1 subunit alpha 1(PDHA1),a key enzyme component in aerobic glycolysis,affecting the proliferation,metastasis and invasion of TNBC.METHODS:(1)The expression levels of PDHA1 in breast cancer tissues and adja-cent tissues were analyzed by UALCAN database,KM-plotter database,Gene MANIA database and TCGA database.The expression of PDHA1 was compared according to tumor pathological stage,subtype classification and breast cancer bio-markers.The function of PDHA1 in TNBC was explored by gene enrichment analysis.(2)Immunohistochemistry assays were used to detect the expression of PDHA1 in human TNBC tissue and adjacent tissue samples.(3)Stable PDHA1 knockout and PDHA1 rescue TNBC MDA-MB-231 cells were constructed.The proliferation of MDA-MB-231 cells was de-tected by colony formation assay and cell counting assay.The regulatory effect of PDHA1 on the invasion and migration of MDA-MB-231 cells was detected by in vitro scratch assay and Transwell migration assay.RESULTS:Database analysis showed that the group with high PDHA1 expression in breast cancer had shorter survival and worse prognosis.In clinical specimens,the expression of PDHA1 in cancer tissues was higher than that in adjacent normal tissues.Knockout of PDHA1 inhibited the proliferation,metastasis,invasion and epithelial-mesenchymal transition of MDA-MB-231 cells.CONCLUSION:PDHA1 is overexpressed in TNBC,and it promotes cell proliferation and facilitates TNBC metastasis through the epithelial-mesenchymal transition pathway.

Objective:To analyze identification of copper death gene related subtypes,construction of prognosis model and influence of immune infiltration in osteosarcoma(OS)on basis of copper death gene.Methods:Survival and prognosis of OS associated copper death gene were analyzed combining by TARGET and GEO database.OS was divided into different subtypes of copper death by consistent clustering method.SSGSEA was used to analyze difference of immune cells in classification of copper death.Setting P value= 0.05 and q value=0.05,GO and KEGG enrichment analysis were performed on differential genes of copper death typing.Prognosis model was constructed according to results of Lasso regression analysis and cross validation,risk assessment analysis and ROC curve were used to evaluate accuracy of model prediction.Combined with clinical characteristics,nomograms were constructed to predict survival time of patients,and risk differences were analyzed.Immune cell infiltration and tumor microenvironment analysis were performed on OS samples."pRRophetic"package in R software was used to analyze drug sensitivity of OS samples.Results:FDX1,GLS,DLAT and PDHB as high-risk genes for OS prognosis were identified.According to copper death classification of OS samples,OS could be divided into two types:CRGclusterA and CRGclusterB.CRGclusterA was associated with Th2 cells,and CRGclusterB was associated with Th1 cells.Most OS copper death genes were highly expressed in CRGclusterA.Immune cell infiltration analysis results showed that γδ T cells,resting mast cells and resting dendritic cells were positively correlated with risk score,while CD8 T cells were negatively correlated with risk score.Drug sensitivity analysis showed that OS showed higher sensitivity to Elesclomol and GW.441756.Conclusion:Two subtypes of CRGclusterA and CRGclusterB are identified in this study.Four high-risk prognostic genes FDX1,GLS,DLAT and PDHB are identified,providing new insights into prognostic evaluation and immunotherapy target candidates for OS.

This paper summarized Professor ZHOU Zhongying's experience in differentiating and treating hepatitis and liver cirrhosis from deficiency and excess. It is considered that the pathogenesis of hepatitis and liver cirrhosis belongs to deficiency in root and excess in branch， with depletion of liver， spleen and kidney as the root， and constraint and bind of damp-heat and stasis toxin as the branch. Moreover， mutual cause and promotion between deficiency and excess leads to the disease. For general principle of treatment， it is recommended to clear and transform pathogenic excess， supplement deficiency and rectify the healthy qi. In the early stage of hepatitis and cirrhosis， excess pathogen hyperactivity is the main manifestation， which can be treated by clearing and transforming damp-heat and stasis toxin， supplemented by regulating spleen and stomach， with modified Yinchenhao Decoction （茵陈蒿汤） and Biejiajian Pill （鳖甲煎丸）. In the middle and late stages， cases with deficiency-excess complex were more common， which should be treated by clearing damp-heat and stasis toxin， regulating and supplementing liver-spleen-kidney， using medicinals with the function of clearing heat and dispelling damp， dissolving stasis and resolving toxins to treat the branch. Moreover， Liujunzi Decoction （六君子汤）， Yiguan Decoction （一贯煎）plus Erzhi Pill （二至丸） and Buzhong Yiqi Decoction （补中益气汤） modifications are suggested respectively in correspondence to the different kinds of root deficiency including irregular liver and spleen， liver and kidney yin deficiency， and liver-spleen-kidney deficiency.

Objective:To analyze the differentially expressed genes of human respiratory syncytial virus (RSV) subtype A genotype ON1, a predominant genotype in Beijing, after infecting A549 cells using transcriptomic sequencing, and provide potential targets for RSV prevention and treatment.Methods:A local strain (61397-ON1) identified by whole-genome sequencing as ON1 genotype of RSV subtype A was selected to infect A549 cells. Total mRNA was extracted, and the differentially expressed genes in infected and uninfected A549 cells were screened by transcriptomic sequencing. GO analysis and KEGG pathway analysis were performed. Besides, six genes with differential expression ratio greater than two times were randomly selected for qRT-PCR verification.Results:There were 1 632 differentially expressed genes between infected and uninfected A549 cells, of which 807 genes were up-regulated and 825 genes were down-regulated. The differentially expressed genes were mainly involved in immune response-related biological processes such as cytokine response and positive regulation of MAPK cascades, and were enriched in MAPK signaling pathway, NOD-like receptor signaling pathway, p53 signaling pathway, TNF signaling pathway, IL-17 signaling pathway and NF-κB signaling pathway. The results of qRT-PCR for six differentially expressed genes were consistent with the trend of transcriptome data.Conclusions:The differentially expressed genes of RSV A subtype ON1 genotype after infecting A549 cells are mainly involved in cytokine response and immune-related signaling pathways. This study provides basic data for further study of the molecular mechanism of RSV infection and the development of prevention and treatment strategies.