AIM:The study aims to investigate the effects of Huayu-Qutan formula(HYQT)-medicated serum on oleic acid-induced lipid damage and endoplasmic reticulum stress(ERS)in HepG2 cells,and to explore the mecha-nism underlying the prevention and treatment of lipid metabolism disorders by HYQT.METHODS:The HepG2 cells were treated with various concentrations of oleic acid,and CCK8 assay,oil red O staining and ELISA were used to identify the optimal treatment concentration and time of oleic acid and HYQT-medicated serum.Moreover,the cells were divided into control,model,thapsigargin(Tg),and Tg+HYQT groups.Cellular lipid deposition was measured using oil red O staining,while triglyceride(TG)and free fatty acid(FFA)levels were assessed by ELISA.Transmission electron micros-copy was used to examine endoplasmic reticulum structures,and RT-qPCR and Wes fully automated protein quantification analysis system were used to measure the mRNA and protein expression of glucose-regulated protein 78(GRP78),sterol regulatory element binding protein 1c(SREBP1c),acetyl coenzyme A carboxylase(ACC1),fatty acid synthase(FAS)and stearoyl coenzyme A desaturase 1(SCD1)in different groups.RESULTS:Significant lipid deposition was induced in HepG2 cells after treatment with 1 000 μmol/L oleic acid,while treatment with serum containing 10%HYQT for 48 h was found to be optimal.Compared with control group,the cells in model group showed significant deposition of oil red O-stained lipid droplets in the cytoplasm,associated with endoplasmic reticulum expansion,ERS,and nuclear condensa-tion.The TG and FFA levels,and the mRNA and protein expression levels of GRP78,SREBP1c,ACC1,FAS and SCD1 were increased significantly(P<0.01).Compared with model group,the cells treated with HYQT-mediated serum showed marked decrease in the number of lipid droplets in the cytoplasm,with restored endoplasmic reticulum morphology.The TG and FFA levels were significantly reduced(P<0.01),and the mRNA and protein levels of factors related to ERS and de novo fatty acid synthesis were markedly decreased(P<0.01).Treatment with Tg,an ERS agonist,led to greater accu-mulation of cytoplasmic lipid droplets and increased endoplasmic reticulum expansion.Marked variations in the morpholo-gy and size of the endoplasmic reticulum were observed,with fusion and clustering of vacuoles.The TG and FFA levels,and the expression of ERS-and fatty acid synthesis-related factors were increased(P<0.01).Compared with Tg group,the cells treated with Tg+HYQT showed reduced number of cytoplasmic lipid droplets,attenuated endoplasmic reticulum dilation,and decreased number and volume of vacuoles,while the TG and FFA levels and the expression of ERS-and fatty acid synthesis-associated factors were significantly decreased(P<0.01).CONCLUSION:Serum containing HYQT alle-viates oleic acid-induced lipid damage in HepG2 cells by inhibiting ERS-induced de novo synthesis of fatty acids.

Objective To use a physics-informed neural network(PINN)-based model to predict hemodynamics in intracranial aneurysms and address the problems of long simulation time and high computational cost in traditional computational fluid dynamics(CFD)simulations.Methods The PINN model was trained using only the computational domain coordinates and sparse velocity measurement points from CFD data of clinical patients.The predicted blood flow velocity,pressure,and wall shear stress(WSS)from the PINN model were compared with CFD simulation results.Results The proposed method was used to test and validate data from four different patients.For velocity prediction,the average mean absolute error(MAE),average mean relative error(MRE),average mean squared error(MSE)was 4.60％,6.61％,and 0.229％,respectively.For WSS prediction,the average MAE,MRE and MSE was 5.54％,8.58％,and 0.510％,respectively.The PINN model demonstrated a good generalization capability across different aneurysm models and could reduce the computation time of hemodynamics from several hours to just a few seconds.Conclusions The PINN model can effectively compensate for incomplete measurement data through physical constraints,even when boundary conditions are unknown and measurement data are sparse.It can rapidly and accurately simulate the hemodynamics of intracranial aneurysms.This method has the potential to provide effective support for clinical risk prediction in intracranial aneurysms.

AIM:The study aims to investigate the effects of Huayu-Qutan formula(HYQT)-medicated serum on oleic acid-induced lipid damage and endoplasmic reticulum stress(ERS)in HepG2 cells,and to explore the mecha-nism underlying the prevention and treatment of lipid metabolism disorders by HYQT.METHODS:The HepG2 cells were treated with various concentrations of oleic acid,and CCK8 assay,oil red O staining and ELISA were used to identify the optimal treatment concentration and time of oleic acid and HYQT-medicated serum.Moreover,the cells were divided into control,model,thapsigargin(Tg),and Tg+HYQT groups.Cellular lipid deposition was measured using oil red O staining,while triglyceride(TG)and free fatty acid(FFA)levels were assessed by ELISA.Transmission electron micros-copy was used to examine endoplasmic reticulum structures,and RT-qPCR and Wes fully automated protein quantification analysis system were used to measure the mRNA and protein expression of glucose-regulated protein 78(GRP78),sterol regulatory element binding protein 1c(SREBP1c),acetyl coenzyme A carboxylase(ACC1),fatty acid synthase(FAS)and stearoyl coenzyme A desaturase 1(SCD1)in different groups.RESULTS:Significant lipid deposition was induced in HepG2 cells after treatment with 1 000 μmol/L oleic acid,while treatment with serum containing 10%HYQT for 48 h was found to be optimal.Compared with control group,the cells in model group showed significant deposition of oil red O-stained lipid droplets in the cytoplasm,associated with endoplasmic reticulum expansion,ERS,and nuclear condensa-tion.The TG and FFA levels,and the mRNA and protein expression levels of GRP78,SREBP1c,ACC1,FAS and SCD1 were increased significantly(P<0.01).Compared with model group,the cells treated with HYQT-mediated serum showed marked decrease in the number of lipid droplets in the cytoplasm,with restored endoplasmic reticulum morphology.The TG and FFA levels were significantly reduced(P<0.01),and the mRNA and protein levels of factors related to ERS and de novo fatty acid synthesis were markedly decreased(P<0.01).Treatment with Tg,an ERS agonist,led to greater accu-mulation of cytoplasmic lipid droplets and increased endoplasmic reticulum expansion.Marked variations in the morpholo-gy and size of the endoplasmic reticulum were observed,with fusion and clustering of vacuoles.The TG and FFA levels,and the expression of ERS-and fatty acid synthesis-related factors were increased(P<0.01).Compared with Tg group,the cells treated with Tg+HYQT showed reduced number of cytoplasmic lipid droplets,attenuated endoplasmic reticulum dilation,and decreased number and volume of vacuoles,while the TG and FFA levels and the expression of ERS-and fatty acid synthesis-associated factors were significantly decreased(P<0.01).CONCLUSION:Serum containing HYQT alle-viates oleic acid-induced lipid damage in HepG2 cells by inhibiting ERS-induced de novo synthesis of fatty acids.

Objective To use a physics-informed neural network(PINN)-based model to predict hemodynamics in intracranial aneurysms and address the problems of long simulation time and high computational cost in traditional computational fluid dynamics(CFD)simulations.Methods The PINN model was trained using only the computational domain coordinates and sparse velocity measurement points from CFD data of clinical patients.The predicted blood flow velocity,pressure,and wall shear stress(WSS)from the PINN model were compared with CFD simulation results.Results The proposed method was used to test and validate data from four different patients.For velocity prediction,the average mean absolute error(MAE),average mean relative error(MRE),average mean squared error(MSE)was 4.60％,6.61％,and 0.229％,respectively.For WSS prediction,the average MAE,MRE and MSE was 5.54％,8.58％,and 0.510％,respectively.The PINN model demonstrated a good generalization capability across different aneurysm models and could reduce the computation time of hemodynamics from several hours to just a few seconds.Conclusions The PINN model can effectively compensate for incomplete measurement data through physical constraints,even when boundary conditions are unknown and measurement data are sparse.It can rapidly and accurately simulate the hemodynamics of intracranial aneurysms.This method has the potential to provide effective support for clinical risk prediction in intracranial aneurysms.

[Objective] To analyze the influencing factors of postoperative patency of longitudinal single suture intussusception microsurgical vasoepididymostomy, to provide reference for improving the repetition rate. [Methods] The clinical data of 82 patients with epididymal obstructive azoospermia who underwent longitudinal single suture intussusception microsurgical vasoepididymostomy in our hospital during Sep.2020 and Jan.2023 were retrospectively analyzed.The postoperative patency and spouse pregnancy were followed up by face to face and / or telephone interview.The effects of age, course of disease, body mass index (BMI), previous medical history (epididymitis, operation history, none), preoperative seminal plasma elastase (SPE) level, anastomosis site, unilateral and bilateral lesion, sperm quality, operation time and hospital stay on the postoperative patency rate were analyzed. [Results] All operations were successful, the follow-up rate was 95.12% (78/82), 78 were married, and the postoperative patency was 78.21% (61/78). Of the 61 patients who achieved patency, 56 were married, and the natural pregnancy rate of spouse was 45.21% (33/73). Univariate analysis showed that patients with age <30 years, course of disease <2 years, preoperative SPE level <290 ng/mL, bilateral anastomosis, body or tail anastomosis and motile sperm had higher postoperative patency rate (P>0.05). BMI, previous history, the number of motile sperms examined by epididymal fluid, the length of operation and hospital stay had no significant effects on postoperative patency (P>0.05). The results of multivariate logistic regression analysis showed that preoperative SPE level (OR=0.998, 95%CI: 0.997-1.000, P=0.008) and (OR=10.724, 95%CI: 2.243-51.283, P=0.003) were significantly correlated with postoperative patency. [Conclusion] The preoperative SPE level and anastomosis site are significant influencing factors of postoperative patency, which is higher in patients with age <30 years, course of disease <2 years, preoperative SPE level <290 ng/mL, bilateral anastomosis, body or tail anastomosis and motile sperm.

Objective To investigate the expressions of H3.3G34W,p63 and SATB2 in giant cell tumor of bone(GCTB)and the effect and value of their combined application in the diagnosis of GCTB.Methods We collected the samples and medical records of 54 cases of GCTB and 83 cases of non-giant cell tumor of bone(14 cases of aneurysmal bone cyst,16 cases of chondroblastoma and 53 cases of non-ossifying fibroma)diagnosed between 2020 and 2022 in the Department of Pathology of Honghui Hospital Affiliated to Xi'an Jiaotong University.The expressions of H3.3G34W,p63 and SATB2 were detected by EliVision immunohistochemical method.X2 test was used to determine whether there are significant differences in the positive rates of H3.3G34W,p63 and SATB2 among all the groups.The combined diagnostic model including H3.3G34W,p63 and SATB2 was established by Logistic regression analysis,and the diagnostic value of the model was evaluated by ROC curve analysis.Results The positive rates of H3.3G34W,p63 and SATB2 in GCTB group were 81.5％,90.7％and 92.6％,respectively;the positive rates in NGCTB group were 2.4％,28.9％and 62.7％.Compared with NGCTB group,the age of GCTB group was significantly older[(41.222±14.849)vs.(16.566±9.439),P＜0.001],and the prevalence was higher in women than in men(51.9％vs.48.1％,P＜0.001).In addition,compared with the NGCTB group,the positive rates of H3.3G34W(81.5％vs.2.4％,P＜0.001),p63(90.7％vs.28.9％,P＜0.001)and SATB2(92.6％vs.62.7％,P＜0.001)were significantly higher in the GCTB group.Univariate regression analysis built a univariate prediction modeland ROC curve analysis showed that age(AUC=92.9％,P＜0.001),sex(AUC=64.5％,P=0.004),H3.3G34W positive rate(AUC=89.5％,P＜0.001),p63 positive rate(AUC=80.9％,P＜0.001)and SATB2 positive rate(AUC=65.0％,P=0.003)were independent predictors of diagnosis of giant cell tumor of bone.Multivariate regression analysis(Logistic)constructed a hybrid prediction model.ROC curve analysis suggested that the hybrid model showed better prediction value than the single factor model(AUC=98.4％,P＜0.001).Conclusion H3.3G34W,p63 and SATB2 are effective molecular markers for the diagnosis of GCTB,and their combined application can improve the prediction efficiency of the diagnosis of GCTB.

italic>Salmonella has emerged as a promising tumor-targeting strategy in recent years due to its good tumor targeting ability and certain safety. In order to further optimize its therapeutic effect, scientists have tried to modify Salmonella, including its attenuation and drug loading. This paper summarizes the mechanism and research progress of Salmonella-mediated targeted tumor therapy, and introduces the strategies and related progress of its modification and optimization. At the same time, the advantages, current challenges and future development directions of Salmonella-mediated tumor therapy are summarized.

Objective To isolate the Japanese encephalitis virus carried by Culex tritaeniorhynchus in Dongchuan District of Yunnan Province and analyze its molecular characteristics, so as to provide insights into the prevention and control of Japanese encephalitis in Yunnan Province. Methods Mosquito specimens were collected using mosquito-trapping lamps from pig farms in Batang Village and Xiaoxin Village, Dongchuan District, Kunming City, Yunnan Province in July 2016, and the mosquito species was identified according to the mosquito morphology. Then, 60 to 100 mosquitoes of each species served as a group and were ground. Baby hamster kidney-21 (BHK-21) cells and Aedes albopictus clone C6/36 cells were used for virus isolation, and positive isolates were identified using flavivirus primers. The positive isolates were amplified using reverse transcription polymerase chain reaction (RT-PCR) assay with 15 pairs of specific primers covering the full length of the genotype I Japanese encephalitis virus, and DNA sequence assembly was performed using the software SeqMan in the DNASTAR package. The obtained sequences were aligned with the complete sequences of 38 Japanese encephalitis virus downloaded from the GenBank with the software MegAlign, and the nucleotide and amino acid homology analyses of the obtained sequences were performed. The difference in amino acid sites was analyzed with the software GeneDoc, and phylogenetic trees were created based on the sequences of the coding region and E protein of the isolated Japanese encephalitis virus with the software Mega X. In addition, the secondary and tertiary structures of the E protein of the Japanese encephalitis virus were predicted using the online tool SOPMA and the software Swiss-Model. Results A total of 5 820 mosquitoes were collected and 3 843 Cx. tritaeniorhynchus (66.03%) were identified according to the mosquito morphology. A positive virus isolate, termed YNDC55-33, was isolated from Cx. tritaeniorhynchoides following batches of virus isolation from mosquito specimens, and cytopathic effect was observed following inoculation into BHK-21 and C6/36 cells. The YNDC55-33 virus isolate was successfully amplified with the flavivirus primes, and a long sequence containing 300 nucleotides was obtained. Following sequence alignment using the BLAST tool, the sequence of the YNDC55-33 virus isolate had high homology with that of the genotype I Japanese encephalitis virus. A long sequence with 10 845 nucleotides in length, which encoded 3 432 amino acids, was obtained by splicing the full sequence of the YNDC55-33 virus isolate. Phylogenetic analysis based on the whole-genome sequence and E gene sequence of the YNDC55-33 virus isolate showed that the new YNDC55-33 virus isolate was most closely related to the genotype I Guizhou isolate (GenBank accession number: HM366552), with nucleotide homology of 98.5% and amino acid homology of 99.4%, and the YNDC55-33 virus isolate shared 97.96% ± 0.33% nucleotide homology and 99.35% ± 0.08% amino acid homology with other genotype I Japanese encephalitis virus isolates, and < 90% nucleotide homology and < 98% amino acid homology with other genotypes of Japanese encephalitis virus. The YNDC55-33 virus isolate and the live attenuated virus vaccine candidate SA14-14-2 isolate differed at 16 amino acid sites on E gene, and 7 out of 8 key amino acid sites related to neurovirulence. The secondary and tertiary structures of the E protein of the YNDC55-33 virus isolate were predicted to be characterized by random coils. Conclusions A genotype I Japanese encephalitis virus was isolated from Cx. tritaeniorhynchus in Dongchuan District, Kunming City. This virus isolate and the live attenuated virus vaccine candidate SA14-14-2 isolate does not differ at antigenic epitopes-related key amino acid sites, and the major protein structure of the virus isolate is random coils. This study adds new data for the epidemiological distribution of Japanese encephalitis virus in Yunnan Province, which may provide insights into the prevention and control of Japanese encephalitis in the province.

Objective To develop and validate a deep learning model for automatic identification of liver CT contrast-enhanced phases.Methods A total of 766 patients with liver CT contrast-enhanced images were retrospectively collected.A three-phase classification model and an arterial phase(AP)classification model were developed,so as to automatically identify liver CT contrast-enhanced phases as early arterial phase(EAP)or late arterial phase(LAP),portal venous phase(PVP),and equilibrium phase(EP).In addition,221 patients with liver CT contrast-enhanced images in 5 different hospitals were used for external validation.The annotation results of radiologists were used as a reference standard to evaluate the model performances.Results In the external validation datasets,the accuracy in identifying each enhanced phase reached to 90.50%-99.70%.Conclusion The automatic identification model of liver CT contrast-enhanced phases based on residual network may provide an efficient,objective,and unified image quality control tool.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5％were gram-positive and 70.5％were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3％,76.7％and 77.9％,respectively.Overall,94.0％of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8％of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2％in the isolates from children and 95.7％in the isolates from adults.The resistance rate to carbapenems was lower than 13.1％in most Enterobacterales species except for Klebsiella,21.7％-23.1％of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1％to 13.3％.The prevalence of meropenem-resistant strains decreased from 23.5％in 2019 to 18.0％in 2022 in Pseudomonas aeruginosa,and decreased from 79.0％in 2019 to 72.5％in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.