Objective:To discuss the associations of mismatch repair(MMR)in gastric cancer with preoperative inflammatory indicators and clinicopathological features in the gastric cancer patients,and to construct a gastric cancer MMR predictive model based on preoperative inflammatory indicators and clinicopathological features of the gastric cancer patients,and to provide new ideas for evaluation of MMR status in gastric cancer.Methods:The data of 254 gastric cancer patients who underwent surgical treatment from September 2020 to October 2023 were included.According to the expression of MMR protein,the patients were divided into MMR normal(proficiout MMR,pMMR)group and MMR deficient(dMMR)group.The preoperative inflammatory indicators and clinicopathological features data of the gastric cancer patients in two groups were collected.The associations between inflammatory indicators,clinicopathological features,and MMR in dMMR group and pMMR group were analyzed using Chi-square test.The independent predictive factors for dMMR were selected to construct the nomogram.Receiver operating characteristic(ROC)curve and calibration curve were used to evaluate the predictive efficacy,and decision curve was used to evaluate the practicality of the predication model.Results:A total of 254 gastric cancer patients were included in the study,with 221 patients(87％)in pMMR group and 33 patients(13％)in dMMR group.There were statistically significant differences(P＜0.05)in age,tumor location,tumor differentiation degree,maximum tumor diameter,platelet-to-lymphocyte ratio(PLR),alkaline phosphatase(AKP),alkaline phosphatase-to-albumin ratio(AAR),fibrinogen(FB)-to-lymphocyte(FLR),FB-to-albumin(AL)(FAR),D-dimer(D-D),and FB of the gastric cancer patients between dMMR group and pMMR group.Univariate and multivariate Logistic regression analysis revealed maximum tumor diameter[odd ratio(OR)=2.958,95％confidence interval(CI):1.196-7.314,P=0.019],tumor location(OR=4.013,95％CI:1.596-10.089,P=0.003),tumor differentiation(OR=3.006,95％CI:1.250-7.230,P=0.014),FAR(OR=2.793,95％CI:1.179-6.616,P=0.020),and carbohydrate antigen 199(CA199)(OR=0.279,95％CI:0.084-0.929,P-0.038)were the independent predictors of dMMR.The area under the ROC curve(AUC)value of the gastric cancer MMR prediction model constructed based on inflammatory indicators and clinical pathological characteristics was 0.800 with the sensitivity of 0.851 and the specificity of 0.606.The calibration curve of the nomogram was found to fit the ideal curve well,and in Hosmer-Lemeshow test P=0.412,the clinical decision curve showed a better net benefit.Conclusion:The preoperative inflammatory indicators and clinicopathological features are associated with MMR in gastric cancer;maximum tumor diameter,tumor location,tumor differentiation,CA199,and FAR are the independent predictors of dMMR.The prediction model based on the above predictors could predict the MMR status of the dMMR gastric cancer patients.

Objective To investigate the effects of scoparone(Sco)on proliferation and invasion of colon cancer cell line HCT116,and its effect on the expression of epidermal growth factor receptor(EGFR).Methods 1)HCT116 cells were divided into control group,50Sco group,100Sco group and 200Sco group.The cells in con-trol group were incubated with culture medium for 48 hrs.The 50Sco group,100Sco group and 200Sco group were incubated with 50,100 and 200 μmol/L scoparone for 48 hrs respectively.2)HCT116 cells were divided into con-trol group,NC-200Sco group,NC-LV+200Sco group and EGFR-LV+200Sco group.The control group was incuba-ted with normal culture medium for 48 hrs.NC-200Sco group was incubated with 200 μmol/L scoparone for 48 hrs.NC-LV and EGFR-LV were infected into HCT116 cells in NC-LV+200Sco group and EGFR-LV+200Sco group,then incubated with 200 μmol/L scoparone for 48 hrs.Cell proliferation was detected by MTT assay and EdU stai-ning,cell apoptosis was detected by flow cytometry and cell invasion was detected by Transwell assay.EGFR mRNA was detected by RT-qPCR,the level of EGFR,Bcl-2,Bax,matrix metalloproteinase(MMP)-2 and MMP-9 protein was detected by Western blot.Results Compared to the control group,the cell viability,proportion of EdU positive cells and counting number of invasive cells in 50Sco group,100Sco group and 200Sco group all decreased(P＜0.05).Cell apoptosis rate and Bax protein expression increased(P＜0.05),the protein expression of Bcl-2,MMP-2 and MMP-9 decreased(P＜0.05).mRNA and protein expression of EGFR were de-creased(P＜0.05).Compared with NC-200 Sco group and NC-LV+200Sco group,the expression level of mRNA and protein of EGFR in EGFR-LV+200Sco group was increased(P＜0.05).Cell viability,proportion of EdU posi-tive cells and counting number of invasive cells all increased(P＜0.05).The cell apoptosis rate and Bax protein expression level were decreased(P＜0.05).The protein expression of Bcl-2,MMP-2 and MMP-9 was increased(P＜0.05).Conclusions Scoparone has anti-colon cancer cell activity and inhibits proliferation as well as invasion of colon cancer cells through inhibition of EGFR.

Objective:To understand the epidemiological characteristics of human respiratory syncytial virus (HRSV) among acute respiratory infection (ARI) cases in 16 provinces of China from 2009 to 2023.Methods:The data of this study were collected from the ARI surveillance data from 16 provinces in China from 2009 to 2023, with a total of 28 278 ARI cases included in the study. The clinical specimens from ARI cases were screened for HRSV nucleic acid from 2009 to 2023, and differences in virus detection rates among cases of different age groups, regions, and months were analyzed.Results:A total of 28 278 ARI cases were enrolled from January 2009 to September 2023. The age of the cases ranged from<1 month to 112 years, and the age M ( Q1, Q3) was 3 years (1 year, 9 years). Among them, 3 062 cases were positive for HRSV nucleic acid, with a total detection rate of 10.83%. From 2009 to 2019, the detection rate of HRSV was 9.33%, and the virus was mainly prevalent in winter and spring. During the Corona Virus Disease 2019 (COVID-19) pandemic, the detection rate of HRSV fluctuated between 6.32% and 18.67%. There was no traditional winter epidemic peak of HRSV from the end of 2022 to the beginning of 2023, and an anti-seasonal epidemic of HRSV occurred from April to May 2023. About 87.95% (2 693/3 062) of positive cases were children under 5 years old, and the difference in the detection rate of HRSV among different age groups was statistically significant ( P<0.001), showing a decreasing trend of HRSV detection rate with the increase of age ( P<0.001). Among them, the HRSV detection rate (25.69%) was highest in children under 6 months. Compared with 2009-2019, the ranking of HRSV detection rates in different age groups changed from high to low between 2020 and 2023, with the age M (Q1, Q3) of HRSV positive cases increasing from 1 year (6 months, 3 years) to 2 years (11 months, 3 years). Conclusion:Through 15 years of continuous HRSV surveillance analysis, children under 5 years old, especially infants under 6 months old, are the main high-risk population for HRSV infection. During the COVID-19 pandemic, the prevalence and patterns of HRSV in China have changed.

Objective:To understand the epidemiological characteristics of human respiratory syncytial virus (HRSV) among acute respiratory infection (ARI) cases in 16 provinces of China from 2009 to 2023.Methods:The data of this study were collected from the ARI surveillance data from 16 provinces in China from 2009 to 2023, with a total of 28 278 ARI cases included in the study. The clinical specimens from ARI cases were screened for HRSV nucleic acid from 2009 to 2023, and differences in virus detection rates among cases of different age groups, regions, and months were analyzed.Results:A total of 28 278 ARI cases were enrolled from January 2009 to September 2023. The age of the cases ranged from<1 month to 112 years, and the age M ( Q1, Q3) was 3 years (1 year, 9 years). Among them, 3 062 cases were positive for HRSV nucleic acid, with a total detection rate of 10.83%. From 2009 to 2019, the detection rate of HRSV was 9.33%, and the virus was mainly prevalent in winter and spring. During the Corona Virus Disease 2019 (COVID-19) pandemic, the detection rate of HRSV fluctuated between 6.32% and 18.67%. There was no traditional winter epidemic peak of HRSV from the end of 2022 to the beginning of 2023, and an anti-seasonal epidemic of HRSV occurred from April to May 2023. About 87.95% (2 693/3 062) of positive cases were children under 5 years old, and the difference in the detection rate of HRSV among different age groups was statistically significant ( P<0.001), showing a decreasing trend of HRSV detection rate with the increase of age ( P<0.001). Among them, the HRSV detection rate (25.69%) was highest in children under 6 months. Compared with 2009-2019, the ranking of HRSV detection rates in different age groups changed from high to low between 2020 and 2023, with the age M (Q1, Q3) of HRSV positive cases increasing from 1 year (6 months, 3 years) to 2 years (11 months, 3 years). Conclusion:Through 15 years of continuous HRSV surveillance analysis, children under 5 years old, especially infants under 6 months old, are the main high-risk population for HRSV infection. During the COVID-19 pandemic, the prevalence and patterns of HRSV in China have changed.

Objective To analyze the core functional component groups(CFCG)in Yinchenhao Decoction(YCHD)and their possible pathways for treating hepatic fibrosis based on network pharmacology.Methods PPI data were extracted from DisGeNET,Genecards,CMGRN and PTHGRN to construct a weighted network using Cytoscape 3.9.1.The data of the chemical components in YCHD were obtained from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP),and the potential active components and targets were selected using PreADMET Web server and SwissTargetPrediction.A fusion model was constructed to obtain the functional effect space and evaluate the effective proteins to identify the CFCG followed by GO and KEGG pathway enrichment analyses for all the targets.In cultured human hepatic stellate cells(LX-2 cells),the cytotoxicity of different compounds in YCHD was tested using CCK-8 assay;the effects of these compounds on collagen α1(Col1a1)mRNA expression and the pathways in 20 ng/mL TGF-β1-stimulated cells were analyzed using RT-qPCR and Western blotting.Results A total of 1005 pathogenic genes,226 potential active components and 1529 potential targets in YCHD and 52 potential targets of CFCG were obtained.Benzyl acetate,vanillic acid,clorius,polydatin,lauric acid and ferulic acid were selected for CCK-8 verification,and they all showed minimal cytotoxicity below the concentration of 200 μmol/L.Clorius,polydatin,lauric acid and ferulic acid all effectively inhibited TGF-β1-induced LX-2 cell activation.At the concentration of 200 μmol/L,all these 4 components inhibited PI3K,p-PI3K,AKT,p-AKT,ERK,p-ERK,P38 MAPK and p-P38 MAPK expressions in TGF-β1-induced LX-2 cells.Conclusion The therapeutic effect of YCHD on hepatic fibrosis is probably mediated by its core functional components including benzyl acetate,vanillic acid,clorius,polydatin,lauric acid and ferulic acid,which inhibit the PI3K-AKT and MAPK pathways in hepatic stellate cells.

Objective:To explore the association between polymorphisms of transforming growth factor-β(TGF-β)signaling pathway and non-syndromic cleft lip with or without cleft palate(NSCL/P)among Asian populations,while considering gene-gene interaction and gene-environment interaction.Methods:A total of 1 038 Asian NSCL/P case-parent trios were ascertained from an international consortium,which conducted a genome-wide association study using a case-parent trio design to investigate the genes affec-ting risk to NSCL/P.After stringent quality control measures,343 single nucleotide polymorphism(SNP)spanning across 10 pivotal genes in the TGF-β signaling pathway were selected from the original genome-wide association study(GWAS)dataset for further analysis.The transmission disequilibrium test(TDT)was used to test for SNP effects.The conditional Logistic regression models were used to test for gene-gene interaction and gene-environment interaction.Environmental factors collected for the study in-cluded smoking during pregnancy,passive smoking during pregnancy,alcohol intake during pregnancy,and vitamin use during pregnancy.Due to the low rates of exposure to smoking during pregnancy and al-cohol consumption during pregnancy(＜3％),only the interaction between maternal smoking during pregnancy and multivitamin supplementation during pregnancy was analyzed.The threshold for statistical significance was rigorously set at P=1.46 × 10-4,applying Bonferroni correction to account for multiple testing.Results:A total of 23 SNPs in 4 genes yielded nominal association with NSCL/P(P＜0.05),but none of these associations was statistically significant after Bonferroni's multiple test correction.How-ever,there were 6 pairs of SNPs rs4939874(SMAD2)and rs1864615(TGFBR2),rs2796813(TGFB2)and rs2132298(TGFBR2),rs4147358(SMAD3)and rs1346907(TGFBR2),rs4939874(SMAD2)and rs1019855(TGFBR2),rs4939874(SMAD2)and rs12490466(TGFBR2),rs2009112(TGFB2)and rs4075748(TGFBR2)showed statistically significant SNP-SNP interaction(P＜1.46 × 10-4).In contrast,the analysis of gene-environment interactions did not yield any significant results after being cor-rected by multiple testing.Conclusion:The comprehensive evaluation of SNP associations and interac-tions within the TGF-β signaling pathway did not yield any direct associations with NSCL/P risk in Asian populations.However,the significant gene-gene interactions identified suggest that the genetic architec-ture influencing NSCL/P risk may involve interactions between genes within the TGF-β signaling path-way.These findings underscore the necessity for further investigations to unravel these results and further explore the underlying biological mechanisms.

Objective:To delve into the intricate relationship between common genetic variations across the entire genome and the risk of non-syndromic cleft lip with or without cleft palate(NSCL/P).Methods:Utilizing summary statistics data from genome-wide association studies(GW AS),a thorough investigation to evaluate the impact of common variations on the genome were undertook.This involved assessing single nucleotide polymorphism(SNP)heritability across the entire genome,as well as within specific genomic regions.To ensure the robustness of our analysis,stringent quality control measures were applied to the GWAS summary statistics data.Criteria for inclusion encompassed the absence of missing values,a minor allele frequency≥1％,P-values falling within the range of 0 to 1,and clear SNP strand orientation.SNP meeting these stringent criteria were then meticulously included in our analy-sis.The SNP heritability of NSCL/P was calculated using linkage disequilibrium score regression.Addi-tionally,hierarchical linkage disequilibrium score regression to partition SNP heritability within coding re-gions,promoters,introns,enhancers,and super enhancers were employed,and the enrichment levels within different genomic regions using LDSC(v1.0.1)software were further elucidated.Results:Our study drew upon GWAS summary statistics data obtained from 806 NSCL/P trios,comprising a total of 2 418 individuals from the Chinese population.Following rigorous quality control procedures,490 593 out of 492 993 SNP were deemed suitable for inclusion in SNP heritability calculations.The observed SNP heritability of NSCL/P was 0.55(95％CI:0.28-0.82).Adjusting for the elevated disease pre-valence within our sample,the SNP heritability scaled down to 0.37(95％CI:0.19-0.55)based on the prevalence observed in the general Chinese population.Notably,our enrichment analysis unveiled significant enrichment of SNP heritability within enhancer regions(15.70,P=0.04)and super enhan-cer regions(3.18,P=0.03).Conclusion:Our study sheds light on the intricate interplay between common genetic variations and the risk of NSCL/P in the Chinese population.By elucidating the SNP heritability landscape across different genomic regions,we contribute valuable insights into the genetic basis of NSCL/P.The significant enrichment of SNP heritability within enhancer and super enhancer re-gions underscores the potential role of these regulatory elements in shaping the genetic susceptibility to NSCL/P.This paves the way for further research aimed at uncovering novel genetic pathogenic factors un-derlying NSCL/P pathogenesis.

Objective To analyze the core functional component groups(CFCG)in Yinchenhao Decoction(YCHD)and their possible pathways for treating hepatic fibrosis based on network pharmacology.Methods PPI data were extracted from DisGeNET,Genecards,CMGRN and PTHGRN to construct a weighted network using Cytoscape 3.9.1.The data of the chemical components in YCHD were obtained from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP),and the potential active components and targets were selected using PreADMET Web server and SwissTargetPrediction.A fusion model was constructed to obtain the functional effect space and evaluate the effective proteins to identify the CFCG followed by GO and KEGG pathway enrichment analyses for all the targets.In cultured human hepatic stellate cells(LX-2 cells),the cytotoxicity of different compounds in YCHD was tested using CCK-8 assay;the effects of these compounds on collagen α1(Col1a1)mRNA expression and the pathways in 20 ng/mL TGF-β1-stimulated cells were analyzed using RT-qPCR and Western blotting.Results A total of 1005 pathogenic genes,226 potential active components and 1529 potential targets in YCHD and 52 potential targets of CFCG were obtained.Benzyl acetate,vanillic acid,clorius,polydatin,lauric acid and ferulic acid were selected for CCK-8 verification,and they all showed minimal cytotoxicity below the concentration of 200 μmol/L.Clorius,polydatin,lauric acid and ferulic acid all effectively inhibited TGF-β1-induced LX-2 cell activation.At the concentration of 200 μmol/L,all these 4 components inhibited PI3K,p-PI3K,AKT,p-AKT,ERK,p-ERK,P38 MAPK and p-P38 MAPK expressions in TGF-β1-induced LX-2 cells.Conclusion The therapeutic effect of YCHD on hepatic fibrosis is probably mediated by its core functional components including benzyl acetate,vanillic acid,clorius,polydatin,lauric acid and ferulic acid,which inhibit the PI3K-AKT and MAPK pathways in hepatic stellate cells.

Objective To screen ischemia and hypoxiarelated genes(IAHRGs)after spinal cord injury(SCI)and analyze their immune infiltration patterns by bioinformatics methods.Methods The expression profiles of SCI-related GSE5296,GSE47681 and GSE217797 were downloaded from the Gene Expression Omnibus(GEO)database,where GSE5296,GSE47681 samples were used as the test set and GSE217797 samples as the validation set,and the differentially expressed genes(DEGs)between SCI and healthy samples were obtained.IAHRGs were screened in GeneCards and MSigDB databases.The intersection of DEGs and IAHRGs yielded ischemic and hypoxia related differentially expressed genes(IAHRDEGs).Based on the IAHRDEGs,the key genes were jointly screened by LASSO model and SVM analysis.The key genes were subjected to logistic regression analysis and a diagnostic model was constructed.The diagnostic ability of the diagnostic model was analyzed by Nomogram and the column line graph of Logistic predictive values was plotted.The diagnostic value of the diagnostic model and key genes for SCI was evaluated using the receiver operating characteristics(ROC).Immune cell infiltration patterns of the disease were analyzed using the CIBERSORT tool.Results A total of 388 IAHRGs were screened,313 differentially expressed genes were detected between SCI and healthy samples,among which 312 were up-regulated and 1 was down-regulated.A sum of 27 up-regulated IAHRDEGs genes were obtained.Five key genes related to ischemia and hypoxia after SCI(Abca1,Caspl,Lpl,Procr,Tnfrsf1a)were screened by LASSO model and SVM analysis based on IAHRDEGs.Nomogram analysis confirms the effect of logistics diagnosis model.ROC curve analysis showed that Casp1,Lpl and Tnfrsf1a had higher diagnostic efficacy(AUC＞0.9),followed by Abca1 and Procr(AUC:0.7～0.9),and the logistics linear predictors had the best diagnostic effect(AUC=0.964).CIBERSORT analysis showed that five key genes were associated with the infiltration of eight types of immune cells(neutrophil cells,B cells naive,plasma cells,M0 macrophage,T cells CD4 naive,T cells CD4 follicular,Th17 cells,and NK resting).Conclusion The five key genes of Abcal,Caspl,Lpl,Procr,and Tnfrsfla,may be closely related to ischemic-hypoxic pathogenesis after SCI,and can be used as candidate molecular markers for the diagnosis and treatment after SCI.

Autophagy is a cellular self-degradation process essential for maintaining metabolic functions in cells and organisms.Dysfunc-tional autophagy has been linked to various diseases,including cancer.The m6A modification,a major RNA modification in eukaryotes,plays a crucial role in regulating autophagy in tumor cells by regulating the expression of autophagy-associated genes(ATGs)or interfering with autophagy-related signaling pathways.Aberrant m6A modification can lead to dysregulated autophagy and impact tumor progression.However,the specific role of m6A in regulating tumor autophagy remains to be explored.Therefore,in this review,we discuss the role of m6A modification in tumor cell autophagy and examine its relationship with tumor progression and drug resistance,aiming to provide a the-oretical foundation for developing new therapeutic strategies.