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 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 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 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 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.

From October 2021 to February 2023, we retrospectively analyzed the clinical and laboratory data of six patients (three male and three female, median age: 54 years, age range: 29-73 years) with mast cell leukemia (MCL) diagnosed in the First Affiliated Hospital of Soochow University (The Mastocytosis Collaborative Network of China). All patients had acute MCL, with at least one C-finding present. The main clinical presentations were hypoalbuminemia ( n=4), fatigue ( n=3), fever ( n=2), abdominal discomfort ( n=2), osteolytic lesions ( n=2), dizziness ( n=1), skin flushing ( n=1), and weight loss ( n=1). Splenomegaly and lymphadenopathy were noted in six and three patients, respectively. Six patients were strongly positive for CD117, five were positive for CD30 and CD25, and four were positive for CD2. Four patients had a normal karyotype and two patients had an abnormal karyotype. Gene mutations were detected in 4/6 cases. The median serum tryptase level was 24.9 (range: 20.1-171.9) μg/L. Two patients were treated with venetoclax and azacitidine for induction (one patient achieved partial remission by combination with afatinib, while there was no remission after combination with dasatinib in the other patient). Two patients did not achieve complete remission despite treatment with cladribine and imatinib, respectively. One patient treated with interferon combined with glucocorticoids was lost to follow-up, and one patient abandoned treatment. The follow-up time ranged from 1.1 to 21.7 months. Three patients died and two survived. Overall, MCL is a rare subtype of systemic mastocytosis with heterogeneous clinical course, and these patients have poor outcome. A better understanding of the clinical characteristics, treatment, and prognosis of MCL is urgently needed.

OBJECTIVE: To develop a noninvasive method for prediction of 1p/19q codeletion in diffuse lower-grade glioma (DLGG) based on multimodal magnetic resonance imaging (MRI) radiomics. METHODS: We collected MRI data from 104 patients with pathologically confirmed DLGG between October, 2015 and September, 2022. A total of 535 radiomics features were extracted from T₂WI, T₁WI, FLAIR, CE-T₁WI and DWI, including 70 morphological features, 90 first order features, and 375 texture features. We constructed logistic regression (LR), logistic regression least absolute shrinkage and selection operator (LRlasso), support vector machine (SVM) and Linear Discriminant Analysis (LDA) radiomics models and compared their predictive performance after 10-fold cross validation. The MRI images were reviewed by two radiologists independently for predicting the 1p/19q status. Receiver operating characteristic curves were used to evaluate classification performance of the radiomics models and the radiologists. RESULTS: The 4 radiomics models (LR, LRlasso, SVM and LDA) achieved similar area under the curve (AUC) in the validation dataset (0.833, 0.819, 0.824 and 0.819, respectively; P>0.1), and their predictive performance was all superior to that of resident physicians of radiology (AUC=0.645, P=0.011, 0.022, 0.016, 0.030, respectively) and similar to that of attending physicians of radiology (AUC=0.838, P>0.05). CONCLUSION Multiparametric MRI radiomics models show good performance for noninvasive prediction of 1p/19q codeletion status in patients with in diffuse lower-grade glioma.
Humans ; Magnetic Resonance Imaging ; Chromosome Aberrations ; Area Under Curve ; Glioma/genetics* ; ROC Curve