Objective To investigate the value of intravoxel incoherent motion diffusion-weighted imaging(IVIM-DWI)in predicting the clinical and pathological features of prostate cancer(PCa).Methods We recruited 47 patients who underwent bpMRI combined with IVIM-DWI in our hospital from July 2022 to October 2023 and pathologically confirmed with PCa.Among these cases,20 were transitional zone PCa(TZ-PCa),and 27 were peripheral zone PCa(PZ-PCa).According to the International Society of Urological Pathology(ISUP)risk grades,the patients were divided into high-risk group(ISUP≥3)and low-risk group(ISUP≤2).Differences in the risk levels between TZ-PCa group and PZ-PCa group were compared.Factors including age,total prostate-specific antigen(tPSA),diffusion coefficient(D)value,pseudo diffusion coefficient(D*)value,perfusion fraction(F)value,and apparent diffusion coefficient(ADC)as independent variables were compared between the two groups.Binary logistic regression analysis was further used to identify the factors associated with high or low risk of PCa.Receiver operation characteristic(ROC)curves were plotted to evaluate the diagnostic efficacy of PSA,D value,anatomical zones,and the combined model of PSA+D value+anatomical zones in predicting the risk level of PCa.Results The risk level was higher in PZ-PCa group than in TZ-PCa group(P=0.015).Binary logistic regression analysis showed that the tPSA level in the high-risk group of PCa was higher than that in the low-risk group(OR=1.026,95％CI:1.004-1.049,P=0.014),but the Dmean value was lower than that in the low-risk group(OR=0.993,95％CI:0.987-0.999,P=0.034).PCa in the high-risk group was more distributed in the peripheral zone(OR=5.250,95％CI:1.468-18.772,P=0.023).The diagnostic efficacy of the combined model(AUC=0.887,95％CI:0.787-0.987)was higher than that of tPSA,Dmean,or anatomical partitioning alone(P=0.001,0.043,and 0.003,respectively).Conclusion PZ-PCa has a higher risk level than TZ-PCa.Combining bpMRI localization of anatomical zones with PSA and D value provides the highest efficacy in predicting the risk level of PCa,which can potentially support the development of precise and personalized clinical diagnosis and treatment strategies for PCa.

Objective To study the plasma metabolomics of mice poisoned by different dosage of the combination of diazepam and ethanol,and to reveal the toxicological mechanisms of combined poisoning of diazepam and ethanol.Methods Female Kunming mice were randomly divided into blank group,single and combined poisoning group(n=6),Based on the LD50 of diazepam co-administered with graded ethanol doses,mice in the single-drug and combined groups received oral gavage at 1/2,1,and 2 × LD50.Retro-orbital blood samples(～500 μL)were collected within 24 hours post-administration and analyzed by UPLC-QE-MS technology.Principal component analysis and orthogonal partial least squares discriminant analysis were used to identify differential metabolites and associated metabolic pathways.Results A total of 387 differential metabolites were identified in the combined poisoning group of diazepam and ethanol implicating the key pathways including tryptophan metabolism,phenylalanine metabolism,arginine and proline metabolism,Glycerophospholipid metabolism,phenylalanine,tyrosine and tryptophan biosynthesis.Conclusion Combined diazepam and ethanol poisoning exerts significant systemic effects by disrupting neurotransmitters conduction,exacerbating oxidative stress response and dysregulating energy metabolism.

Objective To establish a high-throughput non-targeted screening and prioritization method for emerging pollutants(EPs)in sewage using direct injection high-resolution mass spectrometry(HRMS).Methods The sewage samples were filtered by membrane filter and directly subjected to the liquid chromatography-time-of-flight mass spectrometer based on a method modified from our previous study.A C18 chromatographic column was applied for a gradient elution separation,and accurate mass and mass spectral fragment information were obtained through the MS full scan mode and MS/MS DIA data collection mode.After peak detection and alignment,the features from the raw data through open source software MZmine 3,and then high-throughput screening strategies such as MassBank and PubChem databases were used for compound annotation.Finally,the candidate features were confirmed with chemical standards by compared their retention time and mass spectrum fragmentation ion peaks.Results 13 EPs were identified,including 7 industrial chemicals,4 pharmaceuticals,1 pesticide and 1 metabolite.High detection rates were observed for metformin(86.2％),2-hydroxybenzothiazole(79.3％),1,2-benzisothiazole-3-one(72.4％),and 1,2-benzisothiazole-3-one(72.4％).The quantitative concentration range of EPs was 1.37～19.05 ng/mL,with the high concentrations observed for melamine(19.05 ng/mL)and furosemide(18.49 ng/mL).Ecological risk assessment identified 1,2-benzisothiazol-3-one,4-aminoacetophenone,creatinine,2-hydroxybenzothiazole,and furosemide as key pollutants.Conclusion This direct injection coupled with HRMS workflow enables efficient non-targeted screening and prioritization of emerging EPs in sewage samples,highlighting five ecotoxicologically critical EPs.The methodology enhances environmental monitoring capabilities and provide critical technical support for interdisciplinary research such as environmental forensics and health risk assessment.

Objective To study the plasma metabolomics of mice poisoned by different dosage of the combination of diazepam and ethanol,and to reveal the toxicological mechanisms of combined poisoning of diazepam and ethanol.Methods Female Kunming mice were randomly divided into blank group,single and combined poisoning group(n=6),Based on the LD50 of diazepam co-administered with graded ethanol doses,mice in the single-drug and combined groups received oral gavage at 1/2,1,and 2 × LD50.Retro-orbital blood samples(～500 μL)were collected within 24 hours post-administration and analyzed by UPLC-QE-MS technology.Principal component analysis and orthogonal partial least squares discriminant analysis were used to identify differential metabolites and associated metabolic pathways.Results A total of 387 differential metabolites were identified in the combined poisoning group of diazepam and ethanol implicating the key pathways including tryptophan metabolism,phenylalanine metabolism,arginine and proline metabolism,Glycerophospholipid metabolism,phenylalanine,tyrosine and tryptophan biosynthesis.Conclusion Combined diazepam and ethanol poisoning exerts significant systemic effects by disrupting neurotransmitters conduction,exacerbating oxidative stress response and dysregulating energy metabolism.

Objective To establish a high-throughput non-targeted screening and prioritization method for emerging pollutants(EPs)in sewage using direct injection high-resolution mass spectrometry(HRMS).Methods The sewage samples were filtered by membrane filter and directly subjected to the liquid chromatography-time-of-flight mass spectrometer based on a method modified from our previous study.A C18 chromatographic column was applied for a gradient elution separation,and accurate mass and mass spectral fragment information were obtained through the MS full scan mode and MS/MS DIA data collection mode.After peak detection and alignment,the features from the raw data through open source software MZmine 3,and then high-throughput screening strategies such as MassBank and PubChem databases were used for compound annotation.Finally,the candidate features were confirmed with chemical standards by compared their retention time and mass spectrum fragmentation ion peaks.Results 13 EPs were identified,including 7 industrial chemicals,4 pharmaceuticals,1 pesticide and 1 metabolite.High detection rates were observed for metformin(86.2％),2-hydroxybenzothiazole(79.3％),1,2-benzisothiazole-3-one(72.4％),and 1,2-benzisothiazole-3-one(72.4％).The quantitative concentration range of EPs was 1.37～19.05 ng/mL,with the high concentrations observed for melamine(19.05 ng/mL)and furosemide(18.49 ng/mL).Ecological risk assessment identified 1,2-benzisothiazol-3-one,4-aminoacetophenone,creatinine,2-hydroxybenzothiazole,and furosemide as key pollutants.Conclusion This direct injection coupled with HRMS workflow enables efficient non-targeted screening and prioritization of emerging EPs in sewage samples,highlighting five ecotoxicologically critical EPs.The methodology enhances environmental monitoring capabilities and provide critical technical support for interdisciplinary research such as environmental forensics and health risk assessment.

Objective To investigate the value of intravoxel incoherent motion diffusion-weighted imaging(IVIM-DWI)in predicting the clinical and pathological features of prostate cancer(PCa).Methods We recruited 47 patients who underwent bpMRI combined with IVIM-DWI in our hospital from July 2022 to October 2023 and pathologically confirmed with PCa.Among these cases,20 were transitional zone PCa(TZ-PCa),and 27 were peripheral zone PCa(PZ-PCa).According to the International Society of Urological Pathology(ISUP)risk grades,the patients were divided into high-risk group(ISUP≥3)and low-risk group(ISUP≤2).Differences in the risk levels between TZ-PCa group and PZ-PCa group were compared.Factors including age,total prostate-specific antigen(tPSA),diffusion coefficient(D)value,pseudo diffusion coefficient(D*)value,perfusion fraction(F)value,and apparent diffusion coefficient(ADC)as independent variables were compared between the two groups.Binary logistic regression analysis was further used to identify the factors associated with high or low risk of PCa.Receiver operation characteristic(ROC)curves were plotted to evaluate the diagnostic efficacy of PSA,D value,anatomical zones,and the combined model of PSA+D value+anatomical zones in predicting the risk level of PCa.Results The risk level was higher in PZ-PCa group than in TZ-PCa group(P=0.015).Binary logistic regression analysis showed that the tPSA level in the high-risk group of PCa was higher than that in the low-risk group(OR=1.026,95％CI:1.004-1.049,P=0.014),but the Dmean value was lower than that in the low-risk group(OR=0.993,95％CI:0.987-0.999,P=0.034).PCa in the high-risk group was more distributed in the peripheral zone(OR=5.250,95％CI:1.468-18.772,P=0.023).The diagnostic efficacy of the combined model(AUC=0.887,95％CI:0.787-0.987)was higher than that of tPSA,Dmean,or anatomical partitioning alone(P=0.001,0.043,and 0.003,respectively).Conclusion PZ-PCa has a higher risk level than TZ-PCa.Combining bpMRI localization of anatomical zones with PSA and D value provides the highest efficacy in predicting the risk level of PCa,which can potentially support the development of precise and personalized clinical diagnosis and treatment strategies for PCa.

Objective To establish a simultaneous detection approach for 34 emerging contaminants(ECs)in tap water by liquid chromatography-tandem mass spectrometry(HPLC-MS/MS).Human health risk assessment was performed according to the detection results from 43 tap water samples.Methods Tap water samples were concentrated and extracted by solid phase extraction,and then blown to near dry by nitrogen at 40℃.The sample extracts were dissolved in methanol-water solution(95:5,VN)to 0.5 mL for analyzing.Agilent Jet Stream Electrospray Ionization(AJS ESI)and the multiple reaction monitoring(MRM)mode were performed for MS to acquire the data of 34 ECs.A database including precursor ion,product ion and retention times was established accordingly.Results The average linear correlation coefficients(r)of 34 kinds of ECs was 0.995 9.The limits of detection were 0.01～0.60 ng/L and the recoveries were between 60.7％and 119.8％.The intra-group precisions were between 0.05％～9.89％and the intra-day precisions were between 0.20％～14.40％for the spiked samples.The method was applied to analyze 43 tap water samples and a total of 15 ECs were detected.According to the results,the detection rate of caffeine was the highest(84％),and the concentration range was ND～74.42 ng/L.Among all the ECs detected,1,2,3-benzotriazole had the highest concentration(ND～361.15 ng/L),where detection rate was 44％.Humans may be exposed to these ECs by drinking the tap water.The human health risk assessments of 12 kinds of ECs were carried out,however,the estimated risk was negligible(risk quotient＜0.01).Conclusion The method is simple,highly sensitive and selective,and could meet the detection needs of ECs at trace level in tap water.There was no human health risk posed for ECs identified in 43 tap water samples analyzed by this method.

Objective:To establish the ultra-high performance liquid chromatography (UPLC) fingerprint and high performance liquid chromatography (HPLC) content determination method of Curcumae Radix standard decoction; To predict the quality markers of Curcumae Radix standard decoction combined with network pharmacology.Methods:UPLC method was used to establish the fingerprint of Curcumae Radix standard decoction, and the common peaks were determined. Combined with chemical pattern recognition techniques such as similarity analysis and clustering analysis, Curcumae Radix standard decoction from different producing areas was studied, and curcumol was used as an index to determine the content of 24 batches of Curcumae Radix standard decoction. At the same time, network pharmacology was used to predict potential of curcumol and (1S, 6β)-1β-Methyl-4-(1-methylethylidene)-7β-(3-oxobutyl) bicyclo [4.1.0] heptan-3-one.Results:A total of 24 batches of Curcumae Radix standard decoction from different habitats were compared and analyzed, and 10 common peaks were calibrated. The similarity of 24 batches of samples ranged from 0.982 to 0.999. Clustering analysis and principal component analysis divided them into three categories. Heat map analysis showed that peak 8 (curcumol) and peak 9 ((1S, 6β)-1β-Methyl-4-(1-methylethylidene)-7β-(3-oxobutyl) bicyclo [4.1.0] heptan-3-one) were the main components. The content of curcumol in 24 batches of Curcumae Radix standard decoction was 0.69-1.87 mg/g; curcumol and (1S, 6β)-1β-Methyl-4-(1-methylethylidene)-7β- (3-oxobutyl) bicyclo [4.1.0] heptan-3-one may regulate the neuroactive ligand-receptor interaction signaling pathway, calcium signaling, and excitation by regulating neuroactive ligand-receptor interaction signaling pathway, calcium signaling, and excitation. It was preliminarily predicted that curcumol and (1S, 6β)-1β-Methyl-4-(1-methylethylidene)-7β-(3-oxobutyl) bicyclo [4.1.0] heptan-3-one were potential quality markers of Curcumae Radix.Conclusion:Curcumol and (1S, 6β)-1β-Methyl-4-(1-methylethylidene)-7β-(3-oxobutyl) bicyclo [4.1.0] heptan-3-one are potential quality markers of Curcumae Radix standard decoction, and the established fingerprint can be used for the quality control of Curcumae Radix standard decoction.

Objective:To establish UPLC fingerprint method and 2 contents determination methods of Buddleja officinalis; To provide a reference for improving the quality control standard and evaluation of Buddleja officinalis from different habitats.Methods:UPLC method was used to establish the fingerprints of 17 batches of Buddleja officinalis. The similarity evaluation, clustering analysis, principal component analysis and orthogonal partial least squares discriminant analysis were used to compare the quality differences of Buddleja officinalis from different habitats. The contents of acteoside and linarin in Buddleja officinalis were determined.Results:There were 12 common peaks in UPLC fingerprints of Buddleja officinalis, six of which were identified as echinacoside, acteoside, cynaroside, isoacteoside, linarin, and apigenin. The fingerprint similarity of 17 batches of Buddleja officinalis was more than 0.9; Buddleja officinalis from different habitats were classified into 2 groups. Five differential markers were determined by OPLS-DA analysis. The order of significance was acteoside > peak 3 > echinacoside > isoacteoside > linarin. Edgeworthia chrysantha was identified by the method of fingerprint as counterfeit. The results of content determination showed that the content of Buddleja officinalis in Hubei and Sichuan was the high and stable.Conclusion:The method can effectively analyze the differences of Buddleja officinalis from different habitats, and provide reference for the quality control of Buddleja officinalis.

Objective:To explore the facilitators and barriers in implementing the orthokeratology lens-wearing education guidance program from the perspectives of children, their families, and medical and nursing staff.Methods:Based on phenomenological research, purposive sampling was used to select five medical workers, 18 children wearing orthokeratology lenses and family members from the Optometry Center of Peking University Third Hospital as interviewees for semi-structured interviews. Colaizzi's 7-step method was used to analyze interview data.Results:Two themes (facilitators and barriers) were extracted, among which facilitators included two sub-themes (strong demand for educational guidance, trust in medical and nursing staff), and barriers consisted of two sub-themes (patient factors, external support factors) .Conclusions:In promoting the educational guidance intervention program for wearing orthokeratology lenses, medical and nursing staff need to fully play the role of facilitators, analyze and solve barriers, and ultimately promote the smooth implementation of the intervention program.