Widespread utilization of glyphosate has led to environmental residues,posing potential threats to ecological systems and human health.Traditional methods for detection of glyphosate are limited by specialized equipment and operational techniques,resulting in inefficient responses.Therefore,it is urgent to develop a convenient,sensitive and accurate detection method for detection of glyphosate.Herein,a new naphthalenesulfonamide-based"Turn-on"fluorescent probe was synthesized using 2-chloroaniline and dansyl chloride as raw materials through a one-step process,which showed a good linear relationship between the glyphosate concentration in concentration range of 0.003-70 μmol/L and the fluorescence intensity(R2=0.995),with a detection limit of 2.73 nmol/L(S/N=3).Analytical techniques such as nuclear magnetic resonance(NMR)spectroscopy and high-resolution mass spectrometry(HRMS)were used to investigate the interaction mechanism between the fluorescent probe and glyphosate.The results indicated that a nucleophilic substitution reaction occurred between the probe and the secondary amine(—NH—)of glyphosate,inducing a photoinduced electron transfer(PET)effect which enhanced the fluorescence intensity by 11.2 times.The probe showed good anti-interference ability towards coexisting metal ions,anions and pesticides in water.When applied to determination of glyphosate in the samples such as tap water,river water(Xiangxi River Reservoir),soil,soybeans,and corn,the spiking recoveries ranged from 94.7％to 109.9％,demonstrating the high accuracy and broad applicability of this detection method.A portable test strip based on this fluorescent probe was developed for rapid semi-quantitative analysis of glyphosate.The developed method was rapid,sensitive,and portable,providing theoretical and technical support for on-site measurement of environmental contaminants.

Integrated metabolomic and lipidomic profiling,utilizing liquid chromatography coupled with high-resolution mass spectrometry(LC-HRMS),has emerged as a pivotal strategy for biomarker discovery.However,the inherent polarity disparity between metabolites and lipids complicates simultaneous analysis.To address this,a dual-stationary phase polarity-extended liquid chromatography(PELC)system was developed,which surpassed conventional one-dimensional LC(1D-LC)by enabling comprehensive coverage of both polar and non-polar compounds within a single injection.This system enhanced chromatographic resolution,peak capacity,and throughput while minimizing analytical variability.Extracellular vesicles(EVs),lipid bilayer-enclosed nanoparticles ubiquitously present in biofluids,had gained prominence as reservoirs of cancer biomarkers due to their cargo stability and pathophysiological relevance.Herein,the application of PELC-HRMS for concurrent metabolome-lipidome profiling in EVs was pioneered.A total of 193 metabolites were identified using this technique coupled with MS-DIAL software and Human Metabolome Database.Subsequently,this technique was employed to explore potential biomarkers for prostate cancer(PCa).Multivariate analysis identified 17 differentially abundant metabolites in PCa,implicating dysregulated pathways including purine metabolism,starch and sucrose metabolism,galactose metabolism,cysteine and methionine metabolism,and biosynthesis of unsaturated fatty acids.Notably,creatine(AUC=0.92)and DG 42:5(AUC=0.80)demonstrated robust diagnostic efficacy,attributable to their broad polarity ranges and EV-specific enrichment.This study established PELC as a high-fidelity platform for multi-omics integration in complex biospecimens,advancing mechanistic insights into metabolic rewiring and disease pathophysiology.

Objective To construct a prediction model for in-hospital mortality in the elderly(≥65 years)patients undergoing unsynchronous cardioversion in ICU and to evaluate its effectiveness.Methods A retrospective study was conducted on 276 elderly eligible patients in the ICU of the Ninth and the First Medical Centers of Chinese PLA General Hospital between June 2022 and August 2024.According to their clinical outcomes,they were divided into a non-in-hospital dead group(111 cases)and an in-hospital dead group(165 cases).Clinical data were collected,and pre-dictive factors for in-hospital mortality were screened.And then a nomogram prediction model was developed based on the obtained predictive factors,which was evaluated with ROC curve and deci-sion curve analyses.Results When compared to the non-in-hospital dead group,the in-hospital dead group had significantly higher heart rate,ratio of hemodialysis,and levels of alanine amin-otransferase,aspartate aminotransferase,lactate dehydrogenase,alkaline phosphatase,serum cre-atinine,blood glucose,lactate,low base excess,sequential organ failure assessment(SOFA)score,model for end-stage liver disease score,and larger proportions of ventricular fibrillation/flutter and structural heart disease induced by pulseless ventricular tachycardia,and had significantly lower Glasgow Coma Scale(GCS)(P＜0.05).Multivariate logistic regression analysis identified body temperature＞37℃(OR=0.426,95％CI:0.198-0.915,P=0.029),chronic obstructive pulmonary disease(OR=2.333,95％CI:1.217-4.473,P=0.011),GCS score(OR=0.622,95％CI:0.410-0.944,P=0.026),hemoglobin(OR=0.817,95％CI:0.715-0.934,P=0.003),lactate(OR=1.365,95％CI:1.174-1.587,P=0.000),heart rate＞100 bpm(OR=2.757,95％CI:1.397-5.441,P=0.003),and SOFA score(OR=1.112,95％CI:1.032-1.198,P=0.005)as pre-dictors of in-hospital mortality.ROC curve analysis showed an AUC value of above indicators combined together in the prediction was 0.797,with a sensitivity of 76.97％and a specificity of 65.77％.Calibration curve analysis demonstrated good consistency between predicted and observed outcomes.Decision curve analysis indicated favorable clinical utility of the model.Conclusion This study identifies independent risk factors for in-hospital mortality among elderly patients in the ICU who underwent asynchronous cardioversion.Based on these factors,a nomo-gram model is established,demonstrating good discrimination,calibration,and model fit,with high clinical applicability.

Objective:To investigate the effects of short-peptide-based enteral nutrition on nutritional status, immune function, and chemotherapy-related adverse reactions in children with acute lymphoblastic leukemia (ALL).Methods:A total of 106 children with ALL receiving chemotherapy at the Affiliated Hospital of Jining Medical University between January 2021 and April 2022 were enrolled. According to the principle of between-group baseline data matching, the patients were divided into observation group and control group by random number table method, with 53 cases in each group. All patients received chemotherapy according to the CCCG-ALL-2020 protocol established by the Multi-center Cooperative Group of the Chinese Society of Pediatric Oncology (2020). The control group received a regular diet, while the observation group received a regular diet supplemented with short-peptide-based enteral nutrition. The incidence rates of malnutrition, hypoproteinemia, hypoalbuminemia, abnormal immunoglobulin levels (IgG, IgM, IgA), and adverse reactions (liver injury, infection) were compared between both groups before chemotherapy and at the end of each of the following seven chemotherapy phases: Induction remission therapy (PVDL), Induction remission therapy (CAT), Early intensification therapy (CAT+), Consolidation therapy (HDMTX), Interim maintenance therapy, Reinduction therapy, and prior to the end of Maintenance therapy. Normally or approximately normally distributed measurement data were expressed as xˉ± s and compared by independent samples t-test. Counting data were expressed as n (%) and compared by χ2 test. Results:During the CAT phase, the incidence of malnutrition was significantly lower in the observation group than in the control group [20.8% (11/53) vs. 39.6% (21/53), χ2=4.48, P=0.034]. The incidence of hypoproteinemia was significantly lower in the observation group during HDMTX, Reinduction, Interim maintenance, and prior to the end of Maintenance therapy [47.2% (25/53) vs. 69.8% (37/53), χ2=5.60, P=0.018; 45.3% (24/53) vs. 67.9% (36/53), χ2=5.53, P=0.019; 41.5% (24/53) vs. 64.2% (34/53), χ2=5.45, P=0.020; 28.3% (15/53) vs. 54.7% (29/53), χ2=7.62, P=0.006, respectively]. The incidence of hypoalbuminemia was significantly lower in the observation group during CAT+, HDMTX, Reinduction, Interim maintenance, and prior to the end of Maintenance therapy [5.7% (3/53) vs. 22.6% (12/53), χ2=6.29, P=0.012; 9.4% (5/53) vs. 26.4% (14/53), χ2=5.19, P=0.023; 9.4% (5/53) vs. 28.3% (15/53), χ2=6.16, P=0.013; 7.6% (4/53) vs. 24.5% (13/53), χ2=5.68, P=0.017; 3.8% (2/53) vs. 18.9% (10/53), χ2=6.01, P=0.014, respectively]. For IgG, incidence was significantly lower in the observation group during Interim maintenance, Reinduction, and prior to the end of Maintenance therapy [7.6% (4/53) vs. 22.6% (12/53), χ2=4.71, P=0.030; 20.8% (11/53) vs. 39.6% (21/53), χ2=4.48, P=0.034; 11.3% (6/53) vs. 26.4% (14/53), χ2=3.94, P=0.047, respectively]. For IgM, incidence was significantly lower in the observation group during the CAT and CAT+ phases [45.3% (24/53) vs. 66.0% (35/53), χ2=4.63, P=0.032; 58.5% (31/53) vs. 77.4% (41/53), χ2=4.33, P=0.037, respectively]. For IgA, incidence was significantly lower in the observation group during Reinduction therapy and Interim maintenance [22.6% (12/53) vs. 45.3% (24/53), χ2=6.06, P=0.014; 9.4% (5/53) vs. 24.5% (13/53), χ2=4.28, P=0.038, respectively]. For liver injury, incidence was significantly lower in the observation group during the CAT, CAT+, and prior to the end of Maintenance phases [22.6% (12/53) vs. 43.4% (23/53), χ2=5.16, P=0.023; 26.4% (14/53) vs. 50.9% (27/53), χ2=6.72, P=0.010, 11.3% (6/53) vs. 26.4%(14/53), χ2=3.94、 P=0.047,respectively]. For infection, incidence was significantly lower in the observation group during the CAT+ and HDMTX phases [35.9% (19/53) vs. 56.6% (30/53), χ2=4.59, P=0.032; 24.5% (13/53) vs. 43.4% (23/53), χ2=4.21, P=0.040, respectively]. Conclusions:Short-peptide-based enteral nutrition demonstrates significant advantages in the treatment of pediatric ALL. It provides substantial support for patient treatment and recovery by improving nutritional status, modulating immune function, and reducing chemotherapy-related adverse reactions.

Objective:To investigate the effects of short-peptide-based enteral nutrition on nutritional status, immune function, and chemotherapy-related adverse reactions in children with acute lymphoblastic leukemia (ALL).Methods:A total of 106 children with ALL receiving chemotherapy at the Affiliated Hospital of Jining Medical University between January 2021 and April 2022 were enrolled. According to the principle of between-group baseline data matching, the patients were divided into observation group and control group by random number table method, with 53 cases in each group. All patients received chemotherapy according to the CCCG-ALL-2020 protocol established by the Multi-center Cooperative Group of the Chinese Society of Pediatric Oncology (2020). The control group received a regular diet, while the observation group received a regular diet supplemented with short-peptide-based enteral nutrition. The incidence rates of malnutrition, hypoproteinemia, hypoalbuminemia, abnormal immunoglobulin levels (IgG, IgM, IgA), and adverse reactions (liver injury, infection) were compared between both groups before chemotherapy and at the end of each of the following seven chemotherapy phases: Induction remission therapy (PVDL), Induction remission therapy (CAT), Early intensification therapy (CAT+), Consolidation therapy (HDMTX), Interim maintenance therapy, Reinduction therapy, and prior to the end of Maintenance therapy. Normally or approximately normally distributed measurement data were expressed as xˉ± s and compared by independent samples t-test. Counting data were expressed as n (%) and compared by χ2 test. Results:During the CAT phase, the incidence of malnutrition was significantly lower in the observation group than in the control group [20.8% (11/53) vs. 39.6% (21/53), χ2=4.48, P=0.034]. The incidence of hypoproteinemia was significantly lower in the observation group during HDMTX, Reinduction, Interim maintenance, and prior to the end of Maintenance therapy [47.2% (25/53) vs. 69.8% (37/53), χ2=5.60, P=0.018; 45.3% (24/53) vs. 67.9% (36/53), χ2=5.53, P=0.019; 41.5% (24/53) vs. 64.2% (34/53), χ2=5.45, P=0.020; 28.3% (15/53) vs. 54.7% (29/53), χ2=7.62, P=0.006, respectively]. The incidence of hypoalbuminemia was significantly lower in the observation group during CAT+, HDMTX, Reinduction, Interim maintenance, and prior to the end of Maintenance therapy [5.7% (3/53) vs. 22.6% (12/53), χ2=6.29, P=0.012; 9.4% (5/53) vs. 26.4% (14/53), χ2=5.19, P=0.023; 9.4% (5/53) vs. 28.3% (15/53), χ2=6.16, P=0.013; 7.6% (4/53) vs. 24.5% (13/53), χ2=5.68, P=0.017; 3.8% (2/53) vs. 18.9% (10/53), χ2=6.01, P=0.014, respectively]. For IgG, incidence was significantly lower in the observation group during Interim maintenance, Reinduction, and prior to the end of Maintenance therapy [7.6% (4/53) vs. 22.6% (12/53), χ2=4.71, P=0.030; 20.8% (11/53) vs. 39.6% (21/53), χ2=4.48, P=0.034; 11.3% (6/53) vs. 26.4% (14/53), χ2=3.94, P=0.047, respectively]. For IgM, incidence was significantly lower in the observation group during the CAT and CAT+ phases [45.3% (24/53) vs. 66.0% (35/53), χ2=4.63, P=0.032; 58.5% (31/53) vs. 77.4% (41/53), χ2=4.33, P=0.037, respectively]. For IgA, incidence was significantly lower in the observation group during Reinduction therapy and Interim maintenance [22.6% (12/53) vs. 45.3% (24/53), χ2=6.06, P=0.014; 9.4% (5/53) vs. 24.5% (13/53), χ2=4.28, P=0.038, respectively]. For liver injury, incidence was significantly lower in the observation group during the CAT, CAT+, and prior to the end of Maintenance phases [22.6% (12/53) vs. 43.4% (23/53), χ2=5.16, P=0.023; 26.4% (14/53) vs. 50.9% (27/53), χ2=6.72, P=0.010, 11.3% (6/53) vs. 26.4%(14/53), χ2=3.94、 P=0.047,respectively]. For infection, incidence was significantly lower in the observation group during the CAT+ and HDMTX phases [35.9% (19/53) vs. 56.6% (30/53), χ2=4.59, P=0.032; 24.5% (13/53) vs. 43.4% (23/53), χ2=4.21, P=0.040, respectively]. Conclusions:Short-peptide-based enteral nutrition demonstrates significant advantages in the treatment of pediatric ALL. It provides substantial support for patient treatment and recovery by improving nutritional status, modulating immune function, and reducing chemotherapy-related adverse reactions.

Objective To construct a prediction model for in-hospital mortality in the elderly(≥65 years)patients undergoing unsynchronous cardioversion in ICU and to evaluate its effectiveness.Methods A retrospective study was conducted on 276 elderly eligible patients in the ICU of the Ninth and the First Medical Centers of Chinese PLA General Hospital between June 2022 and August 2024.According to their clinical outcomes,they were divided into a non-in-hospital dead group(111 cases)and an in-hospital dead group(165 cases).Clinical data were collected,and pre-dictive factors for in-hospital mortality were screened.And then a nomogram prediction model was developed based on the obtained predictive factors,which was evaluated with ROC curve and deci-sion curve analyses.Results When compared to the non-in-hospital dead group,the in-hospital dead group had significantly higher heart rate,ratio of hemodialysis,and levels of alanine amin-otransferase,aspartate aminotransferase,lactate dehydrogenase,alkaline phosphatase,serum cre-atinine,blood glucose,lactate,low base excess,sequential organ failure assessment(SOFA)score,model for end-stage liver disease score,and larger proportions of ventricular fibrillation/flutter and structural heart disease induced by pulseless ventricular tachycardia,and had significantly lower Glasgow Coma Scale(GCS)(P＜0.05).Multivariate logistic regression analysis identified body temperature＞37℃(OR=0.426,95％CI:0.198-0.915,P=0.029),chronic obstructive pulmonary disease(OR=2.333,95％CI:1.217-4.473,P=0.011),GCS score(OR=0.622,95％CI:0.410-0.944,P=0.026),hemoglobin(OR=0.817,95％CI:0.715-0.934,P=0.003),lactate(OR=1.365,95％CI:1.174-1.587,P=0.000),heart rate＞100 bpm(OR=2.757,95％CI:1.397-5.441,P=0.003),and SOFA score(OR=1.112,95％CI:1.032-1.198,P=0.005)as pre-dictors of in-hospital mortality.ROC curve analysis showed an AUC value of above indicators combined together in the prediction was 0.797,with a sensitivity of 76.97％and a specificity of 65.77％.Calibration curve analysis demonstrated good consistency between predicted and observed outcomes.Decision curve analysis indicated favorable clinical utility of the model.Conclusion This study identifies independent risk factors for in-hospital mortality among elderly patients in the ICU who underwent asynchronous cardioversion.Based on these factors,a nomo-gram model is established,demonstrating good discrimination,calibration,and model fit,with high clinical applicability.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Background/Aims: Chronic hepatitis C (CHC) patients who failed antiviral therapy are at increased risk for hepatocellular carcinoma (HCC). This study assessed the potential role of metformin and statins, medications for diabetes mellitus (DM) and hyperlipidemia (HLP), in reducing HCC risk among these patients. Methods: We included CHC patients from the T-COACH study who failed antiviral therapy. We tracked the onset of HCC 1.5 years post-therapy by linking to Taiwan’s cancer registry data from 2003 to 2019. We accounted for death and liver transplantation as competing risks and employed Gray’s cumulative incidence and Cox subdistribution hazards models to analyze HCC development. Results: Out of 2,779 patients, 480 (17.3%) developed HCC post-therapy. DM patients not using metformin had a 51% increased risk of HCC compared to non-DM patients, while HLP patients on statins had a 50% reduced risk compared to those without HLP. The 5-year HCC incidence was significantly higher for metformin non-users (16.5%) versus non-DM patients (11.3%; adjusted sub-distribution hazard ratio [aSHR]=1.51; P=0.007) and metformin users (3.1%; aSHR=1.59; P=0.022). Statin use in HLP patients correlated with a lower HCC risk (3.8%) compared to non-HLP patients (12.5%; aSHR=0.50; P<0.001). Notably, the increased HCC risk associated with non-use of metformin was primarily seen in non-cirrhotic patients, whereas statins decreased HCC risk in both cirrhotic and non-cirrhotic patients. Conclusions Metformin and statins may have a chemopreventive effect against HCC in CHC patients who failed antiviral therapy. These results support the need for personalized preventive strategies in managing HCC risk.

Objective: To analyze the semen quality parameters of sperm donor volunteers, so as to provide insights into male infertility control and related research. Methods: A total of 155 sperm donors were recruited from the Human Sperm Bank of Zhejiang Province using the convenience sampling method from January to March 2021. Demographic information were collected through questionnaire surveys. Semen were collected, and parameters including semen volume, sperm concentration, total number of sperm, forward motility rate and total sperm viability were measured. Semen quality was evaluated according to the WHO Laboratory Manual for the Examination and Processing of Human Semen. : Results Conclusion There were 20.65% of the 155 sperm donors with unqualified semen, and the unqualified rates of forward motility rate and total sperm viability were relatively high.

Objective To design a post-structured technology-based clinical disease database system to solve the problems of the traditional disease database system in dependence on manual judgment,lack of auxiliary annotation and poor availability of electronic medical record data.Methods An entity recognition model was constructed with I2B2 standard and bi-directional long short-term memory(BiLSTM)model to form a medical record template library,and some relational templates were generated and complex medical entities were extracted to realize post-structuring of electronic medical records.Then a clinical disease database system was established based on the post-structured electronic medical record technology,which was composed of the modules for medical record structuring,structured assessment,data annotation,routine functions and system management.Results The system developed transformed the text of electronic medical records into structured language,contributed to data element extraction and intelligent structured service and enhanced the efficiency of clinical treatment and scientific research.Conclusion The system developed improves the data availability of clinical diseases,reduces the workload of user data processing,ensures the quality of data application and lays a foundation for assisted decision making during clinical treatment and scientific research.[Chinese Medical Equipment Journal,2024,45(4):20-26]