ObjectiveTo investigate the incidence rate of post-endoscopic retrograde cholangiopancreatography （ERCP） pancreatitis （PEP） in patients with difficult common bile duct intubation undergoing pancreatic duct stenting during surgery， as well as the effect of pancreatic duct stenting in the prevention and treatment of PEP， and to provide a basis for clinical treatment. MethodsA retrospective analysis was performed for the clinical data of 186 patients with biliary tract disease who underwent initial ERCP and had difficult common bile duct intubation in The First Affiliated Hospital of Zhengzhou University from January 2016 to December 2024， and according to the condition of pancreatic duct stenting， the patients were divided into control group with 73 patients （without pancreatic duct stenting）， 5Fr-5 cm stent group with 67 patients， and 7Fr-5 cm stent group with 46 patients. The three groups were compared in terms of baseline data， intraoperative procedures， and postoperative outcomes. A one-way analysis of variance was used for comparison of normally distributed continuous data between multiple groups， and the least significant difference t-test was used for further comparison between two groups； the Kruskal-Wallis H rank sum test was used for comparison of non-normally distributed continuous data between multiple groups， and the Dunn method was used for further comparison between two groups； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups. The Logistic regression analysis was used to investigate the influencing factors for PEP in patients with difficult intubation during ERCP. ResultsThe overall incidence rate of PEP was 12.37% （23/186）. Compared with the 5Fr-5 cm stent group and the 7Fr-5 cm stent group， the control group had a significantly higher incidence rate of PEP， a significantly higher score of postoperative abdominal pain， and a significantly longer length of postoperative hospital stay （all P0.01）， and 55.56% of the patients in the control group had moderate-to-severe PEP. The univariate Logistic regression analysis showed that intradiverticular papilla， double guide wire intubation， needle knife precut， the application of basket and balloon for removal of common bile duct stones， intraoperative biopsy， pancreatic duct stenting， intubation time≤10 minutes， frequency of intubation≤5 times， preoperative CRP≤5 mg/L were influencing factors for PEP （all P0.05）， and the multivariate Logistic regression analysis showed that intraoperative pancreatic duct stenting， needle knife precut， and intraoperative biopsy were independent influencing factors for the onset of PEP （all P0.05）. ConclusionPancreatic duct stenting during ERCP can effectively reduce the risk of PEP in patients with difficult intubation， while needle knife precut and intraoperative biopsy can increase the risk of PEP in patients with difficult intubation.

Objective:To investigate age-related characteristics of gait parameters in the elderly.Methods:From February 2023 to August 2023, a convenient sampling method was used to investigate the elderly over 60 years old in communities in Beijing.General characteristics and anthropometric data were collected.Gait parameters of the subjects during normal speed walking were measured using a wearable gait analyzer.Comparisons were made of the basic characteristics, physical status and gait parameters in different age groups.Linear regression analysis was used to evaluate the changes of physical status and gait parameters with age, with the 60-69-year-old group as the baseline standard.Results:A total of 670 elderly people were included, including 324(48.4%)aged 60-69 years, 285(42.5%)aged 70-79 years, and 61(9.1%)aged ≥80 years.Linear regression analysis showed that after adjusting for confounding factors, with increasing age, skeletal muscle mass index(SMI)( β=-0.018, 95% CI: -0.029--0.007), calf circumference( β=-0.096, 95% CI: -0.142--0.051), upper limb flexibility( β=-0.200, 95%, 95% CI: -0.355--0.046), lower limb flexibility( β=-0.244, 95% CI: -0.377--0.111), grip strength( β=-0.397, 95% CI: -0.491--0.303), the Short Physical Performance Battery(SPPB)( β=-0.080, 95% CI: -0.100--0.060)decreased( P<0.05), and the gait parameter such as speed( β=-0.010, 95% CI: -0.014--0.007), cadence( β=-0.398, 95% CI: -0.634--0.162), step length/height( β=-0.002, 95% CI: -0.003--0.002), stride length( β=-0.009, 95% CI: -0.011--0.007), swing power( β=-0.009, 95% CI: -0.012--0.006), ground impact( β=-0.020, 95% CI: -0.026--0.014), foot fall( β=-0.050, 95% CI: -0.064--0.036), pre-swing angle( β=-0.545, 95% CI: -0.714--0.377)all decreased( P<0.05), while stride time( β=0.005, 95% CI: 0.001-0.009), single limb support time( β=1.566, 95% CI: 0.499-2.633), terminal double limb support time( β=0.609, 95% CI: 0.084-1.134), swing duration( β=1.288, 95% CI: 0.024-2.552), single step time( β=2.417, 95% CI: 0.462-4.372)and support phase time( β=1.935, 95% CI: 0.421-3.449)all increased( P<0.05). Conclusions:The walking ability tends to decline with age in older people in the community who walk at a normal walking speed.

Objective:To summarize the experience of brain death determination under veno-arterial extracorporeal membrane oxygenation (VA-ECMO) assisted circulatory support, especially apnea test (AT) precautions, and to provide references for brain death determination in this scenario.Methods:In 78 patients who had VA-ECMO at Organ Transplant Center, Zhengzhou People's Hospital from October 2019 to December 2023, 8 organ donors had brain death determination under VA-ECMO assisted circulatory support. Baseline data, clinical data, and VA-ECMO data during AT trial were collected from these 8 patients to summarize the process of brain death determination.Results:Six of the 8 donors met the criteria of brain death; 10 EEG, 12 evoked potentials and 15 ATs were performed. Complications in ATs, including hypotension, decreased oxygenation and arrhythmia, were alleviated after timely improved VA-ECMO flow and applied cardiotonic and pressor drugs.Conclusion:AT is key for successful brain death determination in organ donors under VA-ECMO assisted circulatory support; therefore, complications should be closely monitored and managed.

Objective:To test the expression of miR-146a-5p RNA, interleukin 6 (IL-6) and tumor necrosis factor α (TNF-α) as markers for predicting post-stroke cognitive impairment (PSCI).Methods:Forty cerebral infarction patients who had been followed up after 3 months formed a PSCI group, and another 40 who showed no post-stroke impairment formed the normal (PSCN) group. Forty healthy age-matched people were the AMC group. The executive functioning of each participant was quantified using the digital span test (DST), a Stroop color word test (SCWT), part B of the trail making test (TMT-B), and a semantic fluency test (SFT). Plasma expression levels of miR-146a-5p, IL-6 and TNF-α were also recorded. Receiver operating characteristics (ROC) curves were prepared to analyze the value of the miR-146a-5p, IL-6, TNF-α and Montreal cognitive assessment (MoCA) scores for predicting PSCI.Results:At baseline, the average expression of plasma miR-146a-5p in the PSCI group was significantly lower than in the other groups, with that of the PSCN group significantly higher than the AMC group′s average. Plasma IL-6 content in the PSCI group was significantly higher than in the other two groups on average, with that in the PSCN group significantly higher than in the AMC group. The average TNF-α levels in both the PSCI and PSCN groups were significantly higher than in the AMC group. Three months later, however, the average DST and SFT scores of the PSCI group were significantly lower than those of the other two groups, while TMT-B and stroop interference effects (SIE) times were significantly longer. TMT-B and SIE times in the PSCN group averaged significantly longer than in the AMC group. At baseline, the area under the curve predicting PSCI of plasma miR-146a-5P combined with MoCA scores was 0.90, with a sensitivity of 72.5% and specificity at the optimal critical point of 97.5%.Conclusions:A high level of plasma miR-146a-5p in the acute stage may protect an ACI patient′s cognitive functioning by inhibiting neuroinflammatory responses. Its expression level and the patient′s MoCA score can help to predict PSCI.

Objective Bioinformatics and machine learning were used to identify associations between key genes in obesity and osteoarthritis(OA)and immune infiltrating cells.Methods Three datasets GSE55235,GSE44000 and GSE151839 were screened from the gene expression omnibus(GEO)database,and differentially expressed genes(DEGs)were obtained by R software,and their potential biological functions were explored through gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG)signaling pathway enrichment analysis.The minimum absolute contraction and selection operator(LASSO)regression algorithm combined with support vector machine(SVM)was used to screen characteristic genes,the diagnostic value of key genes was verified by receiver operating characteristic(ROC)curve,and the immune infiltration was assessed by CIBERSORT algorithm.The mRNA-miRNA regulatory network was constructed using NetworkAnalyst database to predict target miRNA and Cytoscape software,and the correlation between key genes and immune infiltration was analyzed.Results GO gene enrichment analysis obtained 99 DEGs.Cellular activation in the immune system and immune response is highly enriched.KEGG pathway analysis showed significant enrichment of interleukin(IL-17),nuclear factor-κB(NF-κB),B-cell receptor and chemokine signaling pathways.Two key diagnostic genes(MXRA5 and MYC)were identified based on machine learning.Immunoinfiltration analysis showed that MXRA5 was associated with resting and activated CD4 memory T cells,activated NK cells,resting and activated mast cells,and M0 macrophages.In addition,MYC is associated with resting and activated CD4 memory T cells,plasma cells,activated NK cells,resting and activated mast cells,M2 macrophages,and eosinophils.CD4+cells,NK cells and mast cells were significantly associated with these two pivot genes.Conclusion Two key immune-related genes were identified through bioinformatics analysis,which may provide new targets for the treatment of obesity-related OA.

BACKGROUND: In China, lung cancer remains the cancer with the highest incidence and mortality rate. Among early-stage lung adenocarcinomas (LUAD), the micropapillary (MPP) component is prevalent and typically exhibits high aggressiveness, significantly correlating with early metastasis, lymphatic infiltration, and reduced five-year survival rates. Therefore, the study is to explore the similarities and differences between MPP and non-micropapillary (non-MPP) components in malignant pulmonary nodules characterized by GGOs in early-stage LUAD, identify unique mutational features of the MPP component and analyze the relationship between the ZNF469 gene, a member of the zinc-finger protein family, and the prognosis of early-stage LUAD, as well as its correlation with immune infiltration. METHODS: A total of 31 malignant pulmonary nodules of LUAD were collected and dissected into paired MPP and non-MPP components using microdissection. Whole-exome sequencing (WES) was performed on the components of early-stage malignant pulmonary nodules. Mutational signatures analysis was conducted using R packages such as maftools, Nonnegative Matrix Factorization (NMF), and Sigminer to unveil the genomic mutational characteristics unique to MPP components in invasive LUAD compared to other tumor tissues. Furthermore, we explored the expression of the ZNF469 gene in LUAD using The Cancer Genome Atlas (TCGA) database to investigate its potential association with the prognosis. We also investigated gene interaction networks and signaling pathways related to ZNF469 in LUAD using the GeneMANIA database and conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Lastly, we analyzed the correlation between ZNF469 gene expression and levels of immune cell infiltration in LUAD using the TIMER and TISIDB databases. RESULTS: MPP components exhibited a higher number of genomic variations, particularly the 13th COSMIC (Catalogue of Somatic Mutations in Cancer) mutational signature characterized by the activity of the cytidine deaminase APOBEC family, which was unique to MPP components compared to non-MPP components in tumor tissues. This suggests the potential involvement of APOBEC in the progression of MPP components in early-stage LUAD. Additionally, MPP samples with high similarity to APOBEC signature displayed a higher tumor mutational burden (TMB), indicating that these patients may be more likely to benefit from immunotherapy. The expression of ZNF469 was significantly upregulated in LUAD compared to normal tissue, and was associated with poor prognosis in LUAD patients (P<0.05). Gene interaction network analysis and GO/KEGG enrichment analysis revealed that COL6A1, COL1A1, COL1A2, TGFB2, MMP2, COL8A2 and C2CD4C interacted with ZNF469 and were mainly involved in encoding collagen proteins and participating in the constitution of extracellular matrix. ZNF469 expression was positively correlated with immune cell infiltration in LUAD (P<0.05). CONCLUSIONS The study has unveiled distinctive mutational signatures in the MPP components of early-stage invasive LUAD in the Asian population. Furthermore, we have identified that the elevated expression of mutated ZNF469 impacts the prognosis and immune infiltration in LUAD, suggesting its potential as a diagnostic and prognostic biomarker in LUAD.
Humans ; Lung Neoplasms/genetics* ; Adenocarcinoma of Lung/genetics* ; China ; Prognosis ; Transcription Factors

BACKGROUND:Observational studies have suggested that statins may have a protective effect against osteoarthritis,including knee osteoarthritis and hip osteoarthritis.However,the association between statins and the risk of osteoarthritis remains unclear. OBJECTIVE:To investigate the association between statins and the risk of osteoarthritis through Mendelian randomization analysis using summary data from large-scale population-based genome-wide association studies(GWAS). METHODS:Firstly,single nucleotide polymorphism data related to statins were obtained from the latest 9th edition of the FinnGen database,while data of osteoarthritis,knee osteoarthritis and hip osteoarthritis were obtained from the IEU Open GWAS,UK Biobank,and ArcOGEN(Genetics of Osteoarthritis)databases,respectively.The inverse variance weighted method was used as the primary analysis approach to evaluate the causal effects.The weighted median method,simple median method,weighted mode-based method,and MR-Egger regression were used as supplementary analyses.The causal relationship between statins and the risk of osteoarthritis,knee osteoarthritis and hip osteoarthritis was assessed using odds ratios(OR)with 95%confidence intervals(CI).Sensitivity analyses were conducted to validate the reliability of the results,including the Cochran's Q test for heterogeneity and the MR-Egger-intercept test for horizontal pleiotropy,as well as leave-one-out analysis to identify potentially influential single nucleotide polymorphisms. RESULTS AND CONCLUSION:The inverse variance weighted analysis demonstrated a negative causal relationship between genetically predicted statins and the risk of osteoarthritis(OR=0.998,95%CI:0.996-0.999,P=0.01),knee osteoarthritis(OR=0.964,95%CI:0.940-0.989,P=0.005),and hip osteoarthritis(OR=0.928,95%CI:0.901-0.955,P=4.28×10-7).MR-Egger intercept analysis did not detect potential horizontal pleiotropy(osteoarthritis:P=0.658;knee osteoarthritis:P=0.600;hip osteoarthritis:P=0.141).The results of this study provide evidence that statins reduce the risks of osteoarthritis,knee osteoarthritis and hip osteoarthritis as described in observational studies.Further research is needed to explore the specific mechanisms of statin treatment for osteoarthritis.

OBJECTIVE To investigate the effects of Setaria italica extract on improving insomnia model mice and to explore its potential mechanisms. METHODS The mice were randomly assigned into blank group， model group， positive control group （diazepam， 2.6 mg/kg）， and S. italica extract low-dose， medium-dose and high-dose groups （1.2， 2.4， 4.8 g/kg）， with 10 mice in each group. Except for the blank group， all other groups received intraperitoneal injection of para-chlorophenylalanine （PCPA） to establish the insomnia model. After modeling， the blank group and model group were given a constant volume of normal saline intragastrically， and administration groups were given relevant medicine intragastrically， with a volume of 0.01 mL/g， once a day， for 7 consecutive days. After the administration， the open-field test was conducted to observe the praxiological changes of mice， and to determine the levels of 5-hydroxytryptamine （5-HT） and 5-hydroxyindoleacetic acid （5-HTAA） in the hippocampal tissue， as well as the contents of 5-HT， brain-derived neurotrophic factor （BDNF）， interleukin-2 （IL-2）， IL-6， B-cell lymphoma-2 （Bcl- 2）， and Bcl-2-associated X protein （Bax） in the serum. The expression of phosphoinositide 3-kinase/protein kinase B/nuclear factor- κB （PI3K/Akt/NF-κB） signaling pathway related protein was determined in the hippocampus of mice. RESULTS Compared with the model group， the total exercise time of mice in S. italica extract high-dose group was significantly prolonged， but the total rest time was significantly shortened （P＜0.01）； the number of standing times and modification times were significantly reduced （P＜ 0.01）. The contents of 5-HT， BDNF， and Bcl-2 in serum， and Bcl-2/Bax were significantly increased， while the contents of IL-2， IL-6， and Bax were significantly reduced （P＜0.05 or P＜ 0.01）. The content of 5-HTAA in the hippocampal tissue and 202104010910029）；the phosphorylation levels of PI3K and Akt proteins were increased significantly， while the phosphorylation level of NF-κB p65 protein was decreased significantly （P＜0.05）.CONCLUSIONS High-dose of S. italica extract demonstrates significant therapeutic effects on insomnia in mice， and the mechanism of which may be associated with the regulation of PI3K/Akt/NF-κB signaling pathway.

Objective To identify and validate co-expressed genes associated with myocardial ischemia/reperfusion injury(MI/RI)and necrotic apoptosis by bioinformatics analysis.Methods Gene expression profile data for MI/RI were obtained by GSE67308 and GSE19875 datasets from the Gene Expression Omnibus(GEO)database.Differential expression analysis was conducted on the GSE67308 dataset to identify differentially expressed genes(DEGs),followed by gene set enrichment analysis and biological pathway analysis.More-over,immune cell infiltration analysis was performed on the GSE67308 dataset.Necrotic apoptosis-related genes were retrieved from the Molecular Signatures Database and the Kyoto Encyclopedia of Genes and Genomes(KEGG).A protein-protein interaction(PPI)network was constructed by overlapping DEGs with these necrotic apoptosis-related genes to identify key genes.Furthermore,the expression pat-terns of these key genes across various cardiac cell types were analyzed using a single-cell sequencing analysis platform,and validation of key gene expression was performed using the GSE19875 dataset.Results A total of 1054 DEGs were identified,comprising 363 upregu-lated and 691 downregulated genes.Gene enrichment analysis revealed that DEGs were primarily associated with processes related to apoptosis,immune responses,and intracellular signaling regulation.Moreover,biological pathway analysis demonstrated that DEGs were predominantly involved in the regulation of signaling pathways such as tumor necrosis factor(TNF)and NF-κB.Immune infiltration anal-ysis indicated a high degree of immune infiltration,particularly with natural killer cells and monocytes,in MI/RI myocardial tissue.PPI network analysis identified Il1b,TNF,Birc3,and Ripk1as crucial genes in the context of necrotic apoptosis.Single-cell sequencing anal-ysis showed the elevated expression of key genes within white blood cells.In comparison to the control group,the MI/RI model group in the GSE19875 dataset exhibited significantly increased expression of Il1b,TNF,Birc3,and Ripk1(P<0.01).Conclusion MI/RI is strongly correlated with the TNF signaling pathway and the NF-κB signaling pathway,both of which play pivotal roles in regulating necrotic apop-tosis.Il1b,TNF,Birc3,and Ripk1emerge as key genes that concurrently regulate both MI/RI and necrotic apoptosis.It is plausible that IL-1b,TNF,Birc3,and Ripk1 may serve as critical regulatory factors in the context of necrotic apoptosis during MI/RI.

Objective:To construct a diabetes foot prediction model for adult patients with type 2 diabetes based on retrospective cohort study using data from a regional health data platform.Methods:Using Yinzhou Health Information Platform of Ningbo, adult patients with newly diagnosed type 2 diabetes from January 1, 2015 to December 31, 2022 were included in this study and divided randomly the train and test sets according to the ratio of 7∶3. LASSO regression model and bidirectional stepwise regression model were used to identify risk factors, and model comparisons were conducted with net reclassification index, integrated discrimination improvement and concordance index. Univariate and multivariate Cox proportional hazard regression models were constructed, and a nomogram plot was drawn. Area under the curve (AUC) was calculated as a discriminant evaluation indicator for model validation test its calibration ability, and calibration curves were drawn to test its calibration ability.Results:No significant difference existed between LASSO regression model and bidirectional stepwise regression model, but the better bidirectional stepwise regression model was selected as the final model. The risk factors included age of onset, gender, hemoglobin A1c, estimated glomerular filtration rate, taking angiotensin receptor blocker and smoking history. AUC values (95% CI) of risk outcome prediction at year 5 and 7 were 0.700 (0.650-0.749) and 0.715(0.668-0.762) for the train set and 0.738 (0.667-0.801) and 0.723 (0.663-0.783) for the test set, respectively. The calibration curves were close to the ideal curve, and the model discrimination and calibration powers were both good. Conclusions:This study established a convenient prediction model for diabetic foot and classified the risk levels. The model has strong interpretability, good discrimination power, and satisfactory calibration and can be used to predict the incidence of diabetes foot in adult patients with type 2 diabetes to provide a basis for self-assessment and clinical prediction of diabetic foot disease risk.