Objective To explore the predictive efficacy of several multimodal MRI-based machine learning models for the promoter methylation states of O6-methylguanine-DNA methyltransferase(MGMT)of glioblastoma muliforme(GBM)patients in terms of the GBM heterogeneity and the complexity of the tumor microenvironment.Methods Firstly,the multimodal MRI images of 317 GBM patients from The University of Pennsylvania Glioblastoma(UPENN-GBM)dataset were pre-processed,with four sequences involved in including T1-weighted imaging(T1WI)sequence,T1-weighted contrast-enhanced imaging(T1CE)sequence,T2-weighted imaging(T2WI)sequence and fluid-attenuated inversion recovery(FLAIR)sequence,and the radiomics features were extracted for two regions of interest(ROIs)such as the tumor core region and the tumor edema region.Secondly,the data of the 317 GBM patients were randomly divided into a training set(254 cases)and a test set(63 cases),which underwent normalization with Z-scores and feature selection and dimensionality reduction with Lasso regression.Finally,three models were established respectively with particle swarm optimization-support vector machine(PSO-SVM),C-support vector classification(C-SVC)and adaptive boosting(adaptive boosting(Adaboost)algorithms,and the predictive efficacy of the three models for glioblastoma multiforme MGMT promoter methylation states were evaluated in terms of accuracy and AUC.Results The Adaboost model based on T2WI sequence and radiomics features of the tumor core region had the highest predictive efficacy with accuracy and AUC values of 67％and 0.74,respectively,higher than those of other combinations of sequences,models and regions of interest.Conclusion The multimodal MRI-based machine learning models can be used for the prediction of glioblastoma multiforme MGMT promoter methylation states,which provides powerful support for personalized treatment and prognostic assessment of GBM.[Chinese Medical Equipment Journal,2025,46(6):7-13]

This research investigated the contamination level,distribution of drug-resistant strains,and molecular epidemiologi-cal characteristics of Campylobacter,and further explored transmission pathways and prevention strategies.Cecum,chicken carcass,chicken product,and environmental samples,as well as swabs from workers'hands,were collected from a slaughterhouse in a large broiler group in the Jiaodong area between August 2023 and July 2024.Quantitative contamination assessment of Campylobacter in chicken carcasses and chicken products was performed.After microbial mass spectrometry identification,the representative strains of different links were selected for drug resistance testing and whole genome sequencing(WGS).On the basis of the sequencing results,the resistance genes,virulence genes,multilocus sequence typing(MLST),and phylogenetic characteristics of representative strains were analyzed.Homology comparisons were performed between isolates and strains from patients with diarrhea in the NCBI database.A total of 297 Campylobacter strains were isolated from 806 samples,and the overall detection rate was 36.85%.The detection rate of Campylobacter was highest in the evisceration process(47.33%),followed by the cutting process(35.64%).Overall,the Campylo-bacter detection rate first increased,then decreased,and subsequently increased.Drug sensitivity testing revealed that 90 isolates were resistant to nalidixic acid and ciprofloxacin,and 94.97%of isolates were resistant to tetracycline.WGS showed that both Campylo-bacter jejuni(C.jejuni)and Campylobacter coli(C.coli)carried many drug resistance and virulence genes.ST-14176 of C.jejuni was isolated for the first time herein.The predominant ST-8261 strain of C.jejuni and ST-860,ST-829,and ST-1586 strains of C.coli are known to cause human diarrhea.LOS expression genes associated with Guillain-Barré syndrome(GBS)were detected in both C.jejuni isolates from the slaughter chain and patients with GBS.Some strains exhibited close genetic relatedness to human-derived Campylo-bacter strains from the NCBI database.The detection rate of Campylobacter in the slaughterhouse first increased,then decreased,and subsequently increased,and the quantitative contamination level of each link was similar to the detection rate.Quantitative analysis of chicken carcasses/products revealed that the average bacterial load was highest in eviscerated carcasses(102.80 cfu/g),and the high-est amount of Campylobacter in chicken products reached 451.80 cfu/g.Abundant drug resistance genes and virulence genes were iden-tified,and the drug resistance genes were highly correlated with the drug resistance rate.Therefore,surveillance intensity and control measures for Campylobacter in slaughter processes should be strengthened.

This research investigated the contamination level,distribution of drug-resistant strains,and molecular epidemiologi-cal characteristics of Campylobacter,and further explored transmission pathways and prevention strategies.Cecum,chicken carcass,chicken product,and environmental samples,as well as swabs from workers'hands,were collected from a slaughterhouse in a large broiler group in the Jiaodong area between August 2023 and July 2024.Quantitative contamination assessment of Campylobacter in chicken carcasses and chicken products was performed.After microbial mass spectrometry identification,the representative strains of different links were selected for drug resistance testing and whole genome sequencing(WGS).On the basis of the sequencing results,the resistance genes,virulence genes,multilocus sequence typing(MLST),and phylogenetic characteristics of representative strains were analyzed.Homology comparisons were performed between isolates and strains from patients with diarrhea in the NCBI database.A total of 297 Campylobacter strains were isolated from 806 samples,and the overall detection rate was 36.85%.The detection rate of Campylobacter was highest in the evisceration process(47.33%),followed by the cutting process(35.64%).Overall,the Campylo-bacter detection rate first increased,then decreased,and subsequently increased.Drug sensitivity testing revealed that 90 isolates were resistant to nalidixic acid and ciprofloxacin,and 94.97%of isolates were resistant to tetracycline.WGS showed that both Campylo-bacter jejuni(C.jejuni)and Campylobacter coli(C.coli)carried many drug resistance and virulence genes.ST-14176 of C.jejuni was isolated for the first time herein.The predominant ST-8261 strain of C.jejuni and ST-860,ST-829,and ST-1586 strains of C.coli are known to cause human diarrhea.LOS expression genes associated with Guillain-Barré syndrome(GBS)were detected in both C.jejuni isolates from the slaughter chain and patients with GBS.Some strains exhibited close genetic relatedness to human-derived Campylo-bacter strains from the NCBI database.The detection rate of Campylobacter in the slaughterhouse first increased,then decreased,and subsequently increased,and the quantitative contamination level of each link was similar to the detection rate.Quantitative analysis of chicken carcasses/products revealed that the average bacterial load was highest in eviscerated carcasses(102.80 cfu/g),and the high-est amount of Campylobacter in chicken products reached 451.80 cfu/g.Abundant drug resistance genes and virulence genes were iden-tified,and the drug resistance genes were highly correlated with the drug resistance rate.Therefore,surveillance intensity and control measures for Campylobacter in slaughter processes should be strengthened.

Objective To explore the predictive efficacy of several multimodal MRI-based machine learning models for the promoter methylation states of O6-methylguanine-DNA methyltransferase(MGMT)of glioblastoma muliforme(GBM)patients in terms of the GBM heterogeneity and the complexity of the tumor microenvironment.Methods Firstly,the multimodal MRI images of 317 GBM patients from The University of Pennsylvania Glioblastoma(UPENN-GBM)dataset were pre-processed,with four sequences involved in including T1-weighted imaging(T1WI)sequence,T1-weighted contrast-enhanced imaging(T1CE)sequence,T2-weighted imaging(T2WI)sequence and fluid-attenuated inversion recovery(FLAIR)sequence,and the radiomics features were extracted for two regions of interest(ROIs)such as the tumor core region and the tumor edema region.Secondly,the data of the 317 GBM patients were randomly divided into a training set(254 cases)and a test set(63 cases),which underwent normalization with Z-scores and feature selection and dimensionality reduction with Lasso regression.Finally,three models were established respectively with particle swarm optimization-support vector machine(PSO-SVM),C-support vector classification(C-SVC)and adaptive boosting(adaptive boosting(Adaboost)algorithms,and the predictive efficacy of the three models for glioblastoma multiforme MGMT promoter methylation states were evaluated in terms of accuracy and AUC.Results The Adaboost model based on T2WI sequence and radiomics features of the tumor core region had the highest predictive efficacy with accuracy and AUC values of 67％and 0.74,respectively,higher than those of other combinations of sequences,models and regions of interest.Conclusion The multimodal MRI-based machine learning models can be used for the prediction of glioblastoma multiforme MGMT promoter methylation states,which provides powerful support for personalized treatment and prognostic assessment of GBM.[Chinese Medical Equipment Journal,2025,46(6):7-13]

Objective To study the pharmacokinetic characteristics of buspirone hydrochloride tablets in healthy adult populations under conditions of fasting and postprandial administration.Methods A single-center,randomized,three-cycle partially repeated crossover trial design was adopted,and 36 subjects were enrolled on fasting/postprandial,one tablet of the test preparation was taken in one cycle,one tablet of reference preparation(5 mg of buspirone tablets)was taken once in each of 2 cycles,the drug concentration of buspirone in plasma was determined by liquid chromatography-tandem mass spectrometry,and the pharmacokinetic parameters were calculated by WinNonlin software.Results Main pharmacokinetics of buspirone after oral administration of test and reference preparations in fasting group,the Cmax was(285.72±286.08)and(308.94±341.03)pg·mL-1;AUC0-t were(577.09±491.10)and(618.62±642.56)pg·mL-1·h;AUC0-∞ were(586.85±510.04)and(655.92±687.95)pg·mL-1·h;tmax was 0.75(0.33-4.00)and 0.75(0.33-1.75)h.Main pharmacokinetics of buspirone after oral administration of test and reference preparations in the postprandial group,the Cmax were(676.36±603.64)and(760.33±610.27)pg·mL-1;AUC0-t were(1 755.58±1 001.69)and(1 743.00±1 073.33)pg·h·mL-1;AUC0-∞ were(1 839.97±1 044.60)and(1 818.00±1 106.95)pg·mL-1·h;tmax was 1.25(0.25-4.50)and 1.00(0.25-3.50)h.The 90％confidence intervals of the AUC0-t and AUC0-∞ geometric mean ratios of the test preparation and the reference preparation in the fasting test and the postprandial test all fell between 80.00％and 125.00％,and the 95％upper confidence limit of of Cmax was ≤0 and geometric mean ratios point estimates fall between 80.00％and 125.00％.Conclusion Two kinds of buspirone hydrochloride are bioequivalent in Chinese healthy adult subject.

Objective:To evaluate the safety and efficiency of China-made Toumai Robot-assisted laparoscopic radical prosta-tectomy(LRP).Methods:This study included 40 cases of PCa treated from January 2023 to May 2023 by robot-assisted LRP with preservation of the bladder neck and maximal functional urethral length,15 cases with the assistance of Toumai Robot(the TMR group)and the other 25 with the assistance of da Vinci Robot as controls(the DVR group).We recorded the docking time,laparo-scopic surgery time,vesico-urethral anastomosis time,intraoperative blood loss and postoperative urinary continence,and compared them between the two groups.Results:Operations were successfully completed in all the cases.No statistically significant differ-ences were observed between the TMR and DVR groups in the docking time(6 min vs 5 min,P＞0.05)or intraoperative blood loss(200 ml vs 150 ml,P＞0.05).The TMR group,compared with the DVR group,showed a significantly longer median laparoscopic surgery time(146 min vs 130 min,P＜0.05)and median vesico-urethral anastomosis time(19 min vs 16 min,P＜0.05).There were no statistically significant differences between the TMR and DVR groups in the rates of urinary continence recovery immediately af-ter surgery(60.0％[9/15]vs 64.0％[16/25],P＞0.05)or at 1 month(80.0％[12/15])vs(76.0％[19/25],P＞0.05),3 months(93.3％[14/15])vs(92.0％[23/25],P＞0.05)and 6 months postoperatively(100％[15/15])vs(96％[24/25],P＞0.05).Conclusion:China-made Toumai? Robot surgical system is safe and reliable for laparoscopic radical prosta-tectomy,with satisfactory postoperative recovery of urinary continence.

ObjectiveThe glymphatic system regulates cerebral spinal fluid and interstitial fluid transport which might be one of the pathways of central nervous system （CNS） leukemia at the early stage. This study aimed to investigate the alteration of glymphatic system based on diffusion tensor image-analysis along the perivascular space （DTI-ALPS） in pediatric acute lymphoblastic leukemia （ALL） without clinically diagnosed CNS infiltration. MethodsTwenty-five ALL and typically developing （TD） children were prospectively recruited， and all subjects underwent DTI. Group differences in brain water diffusivities and ALPS-index were evaluated using the analysis of covariance. The Spearman correlation analysis was used to evaluate the relationship between biological characteristics and significant parameters in pediatric ALL. ResultsCompared with TDs， decreased Dxassoc value （P_{FDR-corrected} = 0.048） and increased Dzassoc value （P_{FDR-corrected} = 0.033） were found in pediatric ALL. Hence， lower ALPS-index was found in children with ALL （P_{FDR-corrected} < 0.001）. ALPS-index was negatively associated with the risk classification （r_s = -0.47， P = 0.018） as well as immunophenotype （r_s = -0.40， P = 0.046） in pediatric ALL. ConclusionsOur results show dysfunction of the glymphatic system is presented in pediatric ALL without clinically diagnosed CNS infiltration， which suggests that the glymphatic system might be one of pathway in the early-stage of ALL CNS infiltration. The DTI-ALPS method can be used to evaluate the change of glymphatic system， providing a new method for exploring the underlying mechanisms and early detection of pediatric ALL CNS infiltration.

A dry suspension of Indigo Naturalis (IN) based on lactose-IN composite particles was designed by powder modification technology to meet the clinical needs of IN. The contact angle was used as an evaluation index to investigate the effects of the type of modifier lactose, the amount of lactose, and the co-grinding time of lactose and IN on the hydrophilicity of IN. The difference between IN before and after modification was compared through physical properties such as particle size and scanning electron microscope, as well as hydrophilic properties such as surface free energy and multiple light scattering. The optimal process of lactose-IN composite particles is as follows: after lactose is ground alone for 2 minutes, it is co-ground with IN at a ratio of 1∶1 for 6 minutes. The results of the investigation of powder properties show that the particle size d_0.9 of IN is reduced from 112.75 μm to 87.30 μm after modification. The BET and Langmuir specific surface areas decreased by 8.661 m²·g^-1 and 12.512 m²·g^-1, respectively. SEM shows that lactose is attached to the surface of modified IN (MIN); surface element analysis shows that Si, Ca, and Mg elements of MIN are smaller than IN, and O elements are larger. The infrared spectrum shows that the MIN possesses the characteristic peaks of both IN and lactose. Compared MIN with IN, the contact angle and the non-polar surface free energy decreased by 35.1° and 9.975 mJ·m^-2, respectively; the polar surface free energy and the surface free energy increased by 36.956 and 26.950 mJ·m^-2, respectively. The results of multiple light scattering showed that the light transmittance of MIN was 35% lower than that of IN, and the backscattered light intensity was increased by about 25%. Only one excipient was used to successfully prepare IN dry suspension with good wettability and suspending property, which provided a basis for the development of new preparations of IN.

The powder modification technology was used to improve the powder properties and microstructure of Dioscoreae Rhizoma extract powder, thereby solving the problem of poor solubility of Dioscoreae Rhizoma formula granules. The influence of modifier dosage and grinding time on the solubility of Dioscoreae Rhizoma extract powder was investigated with the solubility as the evaluation index, and the optimal modification process was selected. The particle size, fluidity, specific surface area, and other powder properties of Dioscoreae Rhizoma extract powder before and after modification were compared. At the same time, the changes in the microstructure before and after modification was observed by scanning electron microscope, and the modification principle was explored by combining with multi-light scatterer. The results showed that after adding lactose for powder modification, the solubility of Dioscoreae Rhizoma extract powder was significantly improved. The volume of insoluble substance in the liquid of modified Dioscoreae Rhizoma extract powder obtained by the optimal modification process was reduced from 3.8 mL to 0 mL, and the particles obtained by dry granulation of the modified powder could be completely dissolved within 2 min after being exposed to water, without affecting the content of its indicator components adenosine and allantoin. After modification, the particle size of Dioscoreae Rhizoma extract powder decreased significantly, d_(0.9) decreased from(77.55±4.57) μm to(37.91±0.42) μm, the specific surface area and porosity increased, and the hydrophilicity improved. The main mechanism of improving the solubility of Dioscoreae Rhizoma formula granules was the destruction of the "coating membrane" structure on the surface of starch granules and the dispersion of water-soluble excipients. This study introduced powder modification technology to solve the solubility problem of Dioscoreae Rhizoma formula granules, which provided data support for the improvement of product quality and technical references for the improvement of solubility of other similar varieties.
Powders ; Solubility ; Technology, Pharmaceutical ; Technology ; Plant Extracts ; Particle Size

This study aimed to explore the anti-inflammatory material basis and molecular mechanism of Artemisia stolonifera based on the analysis of the chemical components in different extracted fractions of A. stolonifera and their antioxidant and anti-inflammatory effects in combination with network pharmacology and molecular docking. Thirty-two chemical components were identified from A. stolonifera by ultra-performance liquid chromatography coupled to tandem quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS). Among them, there were 7, 21 and 22 compounds in water, n-butanol and ethyl acetate fractions, respectively. The antio-xidant capacity of different extracted fractions was evaluated by measuring their scavenging ability against 1,1-diphenyl-2-picrylhydrazyl radical 2,2-diphenyl-1-(2,4,6-trinitrophenyl) hydrazyl(DPPH) and 2,2'-azinobis-(3-ethylbenzthiazoline-6-sulphonic acid)(ABTS) free radicals and total antioxidant capacity [ferric reducing antioxidant power(FRAP) assay]. The inflammatory model of RAW264.7 cells was induced by lipopolysaccharide(LPS), and the levels of nitrite oxide(NO), tumor necrosis factor-α(TNF-α), interleukin-6(IL-6) in the supernatant and the mRNA expression of related inflammatory factors in cells were used to evaluate the anti-inflammatory effects. The results revealed that ethyl acetate fraction of A. stolonifera was the optimal antioxidant and anti-inflammatory fraction. By network pharmacology, it was found that flavonoids such as rhamnazin, eupatilin, jaceosidin, luteolin and nepetin could act on key targets such as TNF, serine/threonine protein kinase 1(AKT1), tumor protein p53(TP53), caspase-3(CASP3) and epidermal growth factor receptor(EGFR), and regulate the phosphatidylinositol-3-kinase-protein kinase B(PI3K-AKT) and mitogen-activated protein kinase(MAPK) signaling pathways to exert the anti-inflammatory effects. Molecular docking further indicated excellent binding properties between the above core components and core targets. This study preliminarily clarified the anti-inflammatory material basis and mechanism of ethyl acetate fraction of A. stolonifera, providing a basis for the follow-up clinical application of A. stolonifera and drug development.
Antioxidants/chemistry* ; Molecular Docking Simulation ; Artemisia ; Network Pharmacology ; Phosphatidylinositol 3-Kinases ; Anti-Inflammatory Agents/chemistry* ; Drugs, Chinese Herbal/pharmacology* ; Interleukin-6