ObjectiveTo investigate the functional role and underlying molecular mechanisms of fumarylacetoacetate hydrolase （FAH） in the progression of glioblastoma （GBM）. MethodsDifferential expression analysis was performed on the TCGA-GBM， GSE4290， and GSE116520 datasets. Weighted gene co-expression network analysis （WGCNA） was used to identify key modules， and Cox regression and risk modeling were used to screen prognostic genes. Immune infiltration analysis of prognostic genes was carried out by using single-cell RNA sequencing panels. The clinical expression signature of FAH in GBM was analyzed in the TCGA and HPA databases. The functional role of FAH was validated by in vitro and in vivo experiments， and pathway analysis was performed to explore the underlying mechanisms. ResultsA total of 152 overlapping genes were identified across the three GBM datasets （P<0.05）. WGCNA revealed that the turquoise module was most strongly associated with tumor purity， stromal score， immune score， and ESTIMATE score （P<0.001）. Compared with normal tissues， three prognostic genes （CTSD， FAH， and THBD） were upregulated in GBM and correlated with immune infiltration （P<0.05）. FAH mRNA and protein levels were elevated in GBM tissues relative to normal tissues， and its expression was significantly associated with age stratification and TP53 mutation （P<0.05）. CCK-8 assay results showed that， compared with the shNC group， the proliferative activity of GBM cells in the shFAH group was reduced （P<0.001）. Transwell migration and invasion assays demonstrated that， relative to the shNC group， the numbers of migrated and invaded cells in the shFAH group decreased （P<0.05）. Western blot analysis revealed that the protein expression levels of PI3K， p-AKT， and p-mTOR in the shFAH group decreased compared with those in the shNC group （P<0.05）. In vivo subcutaneous xenograft experiments further confirmed that tumor volume and weight significantly decreased in the shFAH group compared with the shNC group （P<0.001）. ConclusionFAH promotes GBM progression by activating the PI3K/AKT/mTOR signaling pathway and may serve as a potential therapeutic target for GBM.

Objective To develop a virtual reality rehabilitation support system and evaluate its effects on improving discharge readiness in caregivers of laryngectomy patients.Methods The system is equipped with a virtual reality-based home nursing skills guidance module for post-laryngectomy patients and an evidence-based artificial intelligence Q&A module.A convenience sampling method was adopted to select 64 caregivers of patients who underwent laryngectomy for the first time in the otorhinolaryngology head and neck surgery department of a tertiary A hospital in Beijing from July 2024 to January 2025 for a systematic study on application effects.To avoid cross-contamination between an experimental group and a control group,ward-based grouping was applied.A coin toss was used to assign Ward 1 to an experimental group and Ward 2 to a control group,with 32 cases in each group.The experimental group received discharge guidance based on the virtual reality technology,while the control group was provided with conventional verbal and written discharge instructions.The readiness for hospital discharge and the quality of discharge teaching scores of caregivers were compared between the 2 groups after the intervention.Results No sample detachment.After the intervention,the patient caregivers in the experimental group scored significantly higher than those in the control group in terms of discharge readiness and quality of discharge guidance,with a statistically significant difference(P＜0.001).Conclusion This study developed the virtual reality rehabilitation system for laryngeal cancer patients demonstrated good feasibility and effectiveness.The application of this system for discharge education significantly improved discharge readiness of caregivers and quality of discharge guidance for post-laryngectomy patients.It also helped with the optimization of health education models,enhancement of nursing resource utilization efficiency,and improvement of transitional care.

Objective To observe the clinical and echocardiographic manifestations of Williams syndrome(WS).Methods Two children with WS were retrospectively enrolled,and 21 cases of WS in literature were reviewed,and clinical and echocardiographic manifestations of WS were observed.Results Clinical manifestations of 23 cases including 21 cases of"elf"face,8 cases of intellectual disability,7 cases of developmental delay,7 cases of inguinal hernia,6 cases of hypothyroidism,4 cases of hypercalcemia,3 cases of urinary system abnormalities(1 case of hydrocele,1 case of ureteral dilation and tortuosity,and 1 case of kidney stones),2 cases of behavioral abnormalities,2 cases of feeding difficulties,1 case of congenital hypertrophic pyloric stenosis,1 case of binocular esotropia,1 case of hyperbilirubinemia,and 1 case of corpus callosum dysplasia.Echocardiography showed cardiovascular malformations in all 23 cases,including 20 cases of supravalvular aortic stenosis(SVAS),18 cases of pulmonary artery stenosis(PAS)and 10 cases of other cardiovascular malformations.Conclusion WS presented multiple system abnormalities in clinic,and cardiovascular malformations,especially SVAS and PAS could often be detected with echocardiography.

Objective To investigate the value of CT radiomics for predicting effect of neoadjuvant chemotherapy(NACT)for locally advanced gastric cancer(LAGC).Methods Totally 325 LAGC patients who received NACT were retrospectively enrolled,among them 247 were taken as training set,while the rest 78 were taken as validation set.Tumor regression scale(TRG)was evaluated according to postoperation pathology after NACT,and the efficacy of NACT was evaluated.Univariate logistic regression was used to analyze and screen clinical predictors of effect of NACT,and clinical model was constructed.Radiomics features were extracted based on venous phase enhanced CT pre-and post-NACT,and Delta radiomics features(i.e.the ratio of the difference of pre-and post-NACT radiomics features and pre-NACT radiomics features)were calculated.The best features were screened based on pre-NACT,post-NACT and Delta radiomics features to construct radiomics labels,the optimal label was screened and used to construct combined model through combining clinical model.Receiver operating characteristic(ROC)curve was plotted,and the area under the curve(AUC)was calculated to evaluate predicting efficiency of the above models.Decision curve analysis(DCA)was performed to explore the clinical value of each model.Results In training set,significant effect was found in 67 cases,but not in 180 cases,while in validation set,significant effect was found in 18 cases but not in 60 cases.Borrmann classification of LAGC before NACT was the clinical predictor(P=0.031),and clinical model was constructed,which had AUC of 0.577 and 0.520 in training and validation sets,respectively.Based on pre-NACT,post-NACT and Delta radiomics features,19,14 and 17 best features were selected,and AUC of the established radiomics labels of Pre-Rad,Post-Rad and Delta-Rad in training set was 0.672,0.796 and 0.789,while in validation set was 0.558,0.805 and 0.666,respectively.Post-Rad was the optimal label,which was used to construct combined model.AUC of the obtained combined model in training and validation sets was 0.824 and 0.818,respectively,both higher than that of clinical model(both P＜0.001)but not different with that of Post-Rad(both P＞0.05).Taken 0.4 to 0.7 as the threshold,the combined model had higher clinical net benefit than the other two.Conclusion Venous CT radiomics could effectively predict effect of NACT for LAGC.Combining with clinical features could improve its predictive efficacy.

Objective To observe the clinical and echocardiographic manifestations of Williams syndrome(WS).Methods Two children with WS were retrospectively enrolled,and 21 cases of WS in literature were reviewed,and clinical and echocardiographic manifestations of WS were observed.Results Clinical manifestations of 23 cases including 21 cases of"elf"face,8 cases of intellectual disability,7 cases of developmental delay,7 cases of inguinal hernia,6 cases of hypothyroidism,4 cases of hypercalcemia,3 cases of urinary system abnormalities(1 case of hydrocele,1 case of ureteral dilation and tortuosity,and 1 case of kidney stones),2 cases of behavioral abnormalities,2 cases of feeding difficulties,1 case of congenital hypertrophic pyloric stenosis,1 case of binocular esotropia,1 case of hyperbilirubinemia,and 1 case of corpus callosum dysplasia.Echocardiography showed cardiovascular malformations in all 23 cases,including 20 cases of supravalvular aortic stenosis(SVAS),18 cases of pulmonary artery stenosis(PAS)and 10 cases of other cardiovascular malformations.Conclusion WS presented multiple system abnormalities in clinic,and cardiovascular malformations,especially SVAS and PAS could often be detected with echocardiography.

Objective To develop a virtual reality rehabilitation support system and evaluate its effects on improving discharge readiness in caregivers of laryngectomy patients.Methods The system is equipped with a virtual reality-based home nursing skills guidance module for post-laryngectomy patients and an evidence-based artificial intelligence Q&A module.A convenience sampling method was adopted to select 64 caregivers of patients who underwent laryngectomy for the first time in the otorhinolaryngology head and neck surgery department of a tertiary A hospital in Beijing from July 2024 to January 2025 for a systematic study on application effects.To avoid cross-contamination between an experimental group and a control group,ward-based grouping was applied.A coin toss was used to assign Ward 1 to an experimental group and Ward 2 to a control group,with 32 cases in each group.The experimental group received discharge guidance based on the virtual reality technology,while the control group was provided with conventional verbal and written discharge instructions.The readiness for hospital discharge and the quality of discharge teaching scores of caregivers were compared between the 2 groups after the intervention.Results No sample detachment.After the intervention,the patient caregivers in the experimental group scored significantly higher than those in the control group in terms of discharge readiness and quality of discharge guidance,with a statistically significant difference(P＜0.001).Conclusion This study developed the virtual reality rehabilitation system for laryngeal cancer patients demonstrated good feasibility and effectiveness.The application of this system for discharge education significantly improved discharge readiness of caregivers and quality of discharge guidance for post-laryngectomy patients.It also helped with the optimization of health education models,enhancement of nursing resource utilization efficiency,and improvement of transitional care.

Objective To investigate the value of CT radiomics for predicting effect of neoadjuvant chemotherapy(NACT)for locally advanced gastric cancer(LAGC).Methods Totally 325 LAGC patients who received NACT were retrospectively enrolled,among them 247 were taken as training set,while the rest 78 were taken as validation set.Tumor regression scale(TRG)was evaluated according to postoperation pathology after NACT,and the efficacy of NACT was evaluated.Univariate logistic regression was used to analyze and screen clinical predictors of effect of NACT,and clinical model was constructed.Radiomics features were extracted based on venous phase enhanced CT pre-and post-NACT,and Delta radiomics features(i.e.the ratio of the difference of pre-and post-NACT radiomics features and pre-NACT radiomics features)were calculated.The best features were screened based on pre-NACT,post-NACT and Delta radiomics features to construct radiomics labels,the optimal label was screened and used to construct combined model through combining clinical model.Receiver operating characteristic(ROC)curve was plotted,and the area under the curve(AUC)was calculated to evaluate predicting efficiency of the above models.Decision curve analysis(DCA)was performed to explore the clinical value of each model.Results In training set,significant effect was found in 67 cases,but not in 180 cases,while in validation set,significant effect was found in 18 cases but not in 60 cases.Borrmann classification of LAGC before NACT was the clinical predictor(P=0.031),and clinical model was constructed,which had AUC of 0.577 and 0.520 in training and validation sets,respectively.Based on pre-NACT,post-NACT and Delta radiomics features,19,14 and 17 best features were selected,and AUC of the established radiomics labels of Pre-Rad,Post-Rad and Delta-Rad in training set was 0.672,0.796 and 0.789,while in validation set was 0.558,0.805 and 0.666,respectively.Post-Rad was the optimal label,which was used to construct combined model.AUC of the obtained combined model in training and validation sets was 0.824 and 0.818,respectively,both higher than that of clinical model(both P＜0.001)but not different with that of Post-Rad(both P＞0.05).Taken 0.4 to 0.7 as the threshold,the combined model had higher clinical net benefit than the other two.Conclusion Venous CT radiomics could effectively predict effect of NACT for LAGC.Combining with clinical features could improve its predictive efficacy.

OBJECTIVE To establish a method for the content determination of 11 components such as protodioscin in Guge fengtong tablets， and to evaluate the comprehensive quality of Guge fengtong tablets by combining with chemometric analysis and entropy weight-technique for order preference by similarity to ideal solution （EW-TOPSIS） method. METHODS HPLC method was adopted. The determination was performed on Agilent Eclipse Plus C18 column with a mobile phase consisted of acetonitrile- 0.2% phosphoric acid solution at the flow rate of 1.0 mL/min by gradient elution. The column temperature was set at 30 ℃ . The detection wavelengths were set at 203 nm （0-28 min， protodioscin， methyl protodioscin， pseudoprotodioscin， dioscin） and 280 nm （28-60 min， catechin， epicatechin， liquiritigenin， medicarpin， 6-gingerol， 8-gingerol， 10-gingerol）； the sample size was 10 μL. Using epicatechin as the internal reference， quantitative analysis of multi-components by single marker （QAMS） method was used to determine the contents of protodioscin， methyl protodioscin， pseudoprotodioscin， dioscin， catechin， liquiritigenin， medicarpin， 6-gingerol， 8-gingerol and 10-gingerol， which were compared with the results of the external standard method. SPSS 26.0 software and SIMCA 14.1 software were used for principal component analysis and orthogonal partial least squares-discriminant analysis， with variable importance in projection （VIP） value greater than 1 as the standard， to screen for differential markers that affect the quality； the EW-TOPSIS method was adopted to evaluate the quality of 15 batches of samples comprehensively.RESULTS The contents of protodioscin， methyl protodioscin， pseudoprotodioscin， dioscin， catechin， liquiritigenin， medi-carpin， 6-gingerol， 8-gingerol and 10-gingerol determined by HPLC combined with QAMS were 6.330-10.863， 1.150-2.274， 0.431- 0.740， 2.818-4.823， 0.826-1.510， 0.043-0.094， 0.079-0.231， 0.479-1.020， 0.146-0.288， 0.118-0.318 mg/g， respectively； there were no statistical significances， compared with the external standard method （P＞0.05）. A total of 15 batches of samples were clustered into 3 groups， with S1-S6， S7-S10， and S11-S15 clustered into one group， respectively. The VIP values of protodioscin， epicatechin， dioscin and 6-gingerol were greater than 1. Euclidean closeness values of the optimal solution （C）i for 15 batches of samples were 0.163 5 to 0.703 7， and Ci values of S11-S15 were all higher than 0.6. CONCLUSIONS The established QAMS method is accurate and simple， and can be used for comprehensive quality evaluation of Guge fengtong tablets， by combining with chemometric analysis and EW-TOPSIS method. Protodioscin， epicatechin， dioscin and 6-gingerol are the differential markers that affect the quality of Guge fengtong tablets. Samples S11-S15 have better quality.

The long-term presence of non-steroidal anti-inflammatory drugs (NSAIDs) in the environmental water samples not only affects the life safety of aquatic organisms and disturbs the ecoenvironment, but also poses a serious threat to human health. In this study, amino-functionalized Fe3O4 nanoparticles (Fe3O4-NH2) were firstly prepared by solvothermal method. Subsequently, polyethyleneimine (PEI) with a branched chain structure was successfully grafted onto Fe3O4 nanoparticles by Schiff base reaction in aqueous solution at room temperature using glutaraldehyde as a cross-linking agent, and a recyclable PEI-grafted magnetic nano-sorbent (Fe3O4@PEI) was synthesized and applied for the detection of NSAIDs in the environmental water samples. The compositional properties of Fe3O4@PEI were investigated by different characterization methods and the parameters affecting the extraction of NSAIDs were optimized. Due to high adsorption of Fe3O4@PEI for NSAIDs, the quantitative analysis of four NSAIDs in the environmental water samples, ketoprofen, naproxen, diclofenac and tolfenamic acid, was performed in combination with high-performance liquid chromatography. A good linear relationship between the chromatographic peak area and concentration was observed in the range of 1−500 µg/mL. The recoveries of the samples at three different spiked levels ranged from 85.6% to 107.8%; the intra-day precision was less than 7.8% (n=6); and the inter-day precision was less than 9.5% (n=3). The method is simple, rapid, accurate and reliable, and can be used for the analysis of NSAIDs in the environmental water samples．

As a new class of acid inhibitors,potassium-competitive acid blocker(P-CAB)inhibits the conformational transition of H+,K+-ATPase with subsequent suppression of H+,K+exchanging by binding reversibly near the K+binding site of H+,K+-ATPase,which results in the inhibition of gastric acid secretion in a K+-competitive manner.The unique structure and novel mechanism of P-CAB contribute to the pharmaceutical characteristics superior to other PPIs,making it a new alternative for acid-related diseases(ARDs).Progress on pharmaceutical characteristics of P-CAB were reviewed in this paper.