Objective To establish a sensitive,accurate and rapid detection method for 10 drugs and metabolites in hair with triple quadrupole tandem mass spectrometry,addressing the identification of drugs in real hair samples.Methods After cryogenic grinding and ultrasonic extraction,hair was separated by Restek Allure PFPP column(100 mm × 2.1 mm,5 μm).The mobile phase A was 20 mmol/L ammonium acetate,0.1％formic acid and 5％acetonitrile aqueous solution.The mobile phase B was acetonitrile.An electrospray ionization source was used for data acquisition in scheduled MRM mode.Results The method showed good linearity for all analytes within the validated range(R2＞0.995),with the limits of detection ranging from 0.5 to 6 pg/mg,the limits of quantification ranging from 2.5 to 10 pg/mg.Accuracy ranged from 89.1％to 114.6％,with intra-day precision ranging from 0.2％to 11.7％,inter-day precision ranging from 4.0％to 15.8％.the matrix effects ranging from 89.4％to 118.4％,the recoveries ranging from 63.6％～112.1％.Totally 20 cases were detected positive in 196 actual hair samples.Conclusion The time-scheduled scanning method exhibits high stability and sensitivity,enabling high-throughput detection,and is suitable for forensic toxicology laboratories to identify drugs in hair.

Metabolomics covers a wide range of applications in life sciences, biomedicine, and phytology. Data acquisition (to achieve high coverage and efficiency) and analysis (to pursue good classification) are two key segments involved in metabolomics workflows. Various chemometric approaches utilizing either pattern recognition or machine learning have been employed to separate different groups. However, insufficient feature extraction, inappropriate feature selection, overfitting, or underfitting lead to an insufficient capacity to discriminate plants that are often easily confused. Using two ginseng varieties, namely Panax japonicus (PJ) and Panax japonicus var. major (PJvm), containing the similar ginsenosides, we integrated pseudo-targeted metabolomics and deep neural network (DNN) modeling to achieve accurate species differentiation. A pseudo-targeted metabolomics approach was optimized through data acquisition mode, ion pairs generation, comparison between multiple reaction monitoring (MRM) and scheduled MRM (sMRM), and chromatographic elution gradient. In total, 1980 ion pairs were monitored within 23 min, allowing for the most comprehensive ginseng metabolome analysis. The established DNN model demonstrated excellent classification performance (in terms of accuracy, precision, recall, F1 score, area under the curve, and receiver operating characteristic (ROC)) using the entire metabolome data and feature-selection dataset, exhibiting superior advantages over random forest (RF), support vector machine (SVM), extreme gradient boosting (XGBoost), and multilayer perceptron (MLP). Moreover, DNNs were advantageous for automated feature learning, nonlinear modeling, adaptability, and generalization. This study confirmed practicality of the established strategy for efficient metabolomics data analysis and reliable classification performance even when using small-volume samples. This established approach holds promise for plant metabolomics and is not limited to ginseng.

Objective: To evaluate the application of blood conservation measures in obstetric patients with different red blood cell transfusion volumes and to assess the impact of different transfusion volumes on postpartum outcomes. Methods: A retrospective investigation was conducted on 448 obstetric patients who received blood transfusions at the Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine from January 2016 to December 2022. Patients were divided into four groups (1-2 units group, 3-4 units group, 5-6 units group, and >6 units group) based on the volumes of red blood cells (RBCs) transfused during and within 7 days after delivery. The maternal physiological indicators, pre- and postpartum laboratory test indicators, obstetric complications, application of blood conservation measures, use of blood products, and postpartum outcomes were reviewed. The clinical characteristics, application of blood conservation measures, and their impact on postpartum outcomes were compared among different transfusion groups. Results: There were statistically significant differences in the multivariate logistic analysis of history of previous cesarean section (OR=1.781), eclampsia/pre-eclampsia/(OR=1.972) and postpartum blood loss>1 000 mL（OR=1.699）(P<0.05) among different transfusion groups. In terms of blood conservation measures, the more RBCs transfused, the higher the rate of mothers receiving blood conservation measures such as balloon occlusion, arterial ligation, autologous blood transfusion with a cell saver, and hysterectomy. With the increase in the volume of RBCs transfusion, the demand for fresh frozen plasma（FFP）, cryoprecipitate, and platelet transfusions also increased. The hospitalization days for the four groups of parturients were 6.0 (4.0-9.0), 7.5 (5.0-14.8), 7.0 (4.5-13.0) and 11.0 (9.0-20.5), respectively (P<0.05) and the rates of ICU transfer were 2.0% (5/250), 9.4% (12/128),18.2% (6/33) and 51.4% (19/37), respectively (P<0.05). Both increased significantly with the increase in the volume of RBCs transfusion, and the differences between groups were statistically significant. Conclusion: Parturients who received higher volume of RBCs had multiple risks factors for bleeding before childbirth, had higher postpartum blood loss, and had a higher rate of application of various blood conservation measures. In addition, an increase in the volume of RBCs transfusion may have adverse effects on postpartum recovery.

Metabolomics covers a wide range of applications in life sciences,biomedicine,and phytology.Data acquisition(to achieve high coverage and efficiency)and analysis(to pursue good classification)are two key segments involved in metabolomics workflows.Various chemometric approaches utilizing either pattern recognition or machine learning have been employed to separate different groups.However,insufficient feature extraction,inappropriate feature selection,overfitting,or underfitting lead to an insufficient capacity to discriminate plants that are often easily confused.Using two ginseng varieties,namely Panax japonicus(PJ)and Panax japonicus var.major(PJvm),containing the similar ginsenosides,we integrated pseudo-targeted metabolomics and deep neural network(DNN)modeling to achieve accurate species differentiation.A pseudo-targeted metabolomics approach was optimized through data acquisition mode,ion pairs generation,comparison between multiple reaction monitoring(MRM)and scheduled MRM(sMRM),and chromatographic elution gradient.In total,1980 ion pairs were monitored within 23 min,allowing for the most comprehensive ginseng metabolome analysis.The established DNN model demonstrated excellent classification performance(in terms of accuracy,precision,recall,F1 score,area under the curve,and receiver operating characteristic(ROC))using the entire metabolome data and feature-selection dataset,exhibiting superior advantages over random forest(RF),support vector ma-chine(SVM),extreme gradient boosting(XGBoost),and multilayer perceptron(MLP).Moreover,DNNs were advantageous for automated feature learning,nonlinear modeling,adaptability,and generalization.This study confirmed practicality of the established strategy for efficient metabolomics data analysis and reliable classification performance even when using small-volume samples.This established approach holds promise for plant metabolomics and is not limited to ginseng.

Background: Aristolochic acid II (AAII), a major nephrotoxic and carcinogenic component of aristolochic acids (AAs), has been less studied compared with its well-characterized analog, aristolochic acid I (AAI). Although AAs are known to induce carcinogenesis via DNA adduct formation, the toxicity mechanisms, environmental prevalence, and long-term health impacts of AAII remain poorly understood. Objective: This study aimed to systematically evaluate AAII’s acute and chronic toxicity, carcinogenic mechanisms, and environmental exposure patterns using integrated murine models and phytochemical analyses to clarify its toxicological profile and associated health risks. Methods: C57BL/6J mice were used in the following experiments: (1) determination of AAII content in 3 commonly used Aristolochia medicinal materials via liquid chromatography-mass spectrometry/mass spectrometry; (2) acute toxicity testing with single doses of 10, 20, or 40 mg/kg; and (3) chronic exposure with 1 or 10 mg/kg administered every other day for 24 weeks, followed by 21 to 40 weeks of postexposure monitoring. Histopathological examination, whole-exome sequencing, biochemical assays, and micronucleus tests were performed to assess multi-organ damage, tumorigenesis, genomic mutation signatures, and direct clastogenicity. Phytochemical analyses were used to evaluate environmental distribution. Results: (1) A single 40 mg/kg dose of AAII induced dose-dependent renal tubular degeneration without hepatotoxicity; (2) the 10 mg/kg group showed significant mortality (20%), tumor incidence (33.3%, primarily forestomach and bladder transitional cell carcinomas), persistent renal interstitial fibrosis, and subclinical hepatic injury. Chronic exposure to 1 mg/kg still induced 13.3% mortality and 15.5% tumor incidence over a 64-week period; (3) whole-exome sequencing revealed a predominance of C>T mutations and pathway enrichment in chemical carcinogenesis and cytochrome P450-mediated metabolism, indicating reactive metabolite-driven mechanisms distinct from classical AA-DNA adducts; and (4) no histopathological changes were observed in nontarget organs (brain, heart, and testes), and micronucleus assays confirmed the absence of direct clastogenicity. Conclusion: This study highlights the delayed carcinogenic risks of low-dose chronic AAII exposure and emphasizes the need to update regulatory frameworks to ensure the safe use of aristolochiaceae-containing herbal products.

Objective To establish a sensitive,accurate and rapid detection method for 10 drugs and metabolites in hair with triple quadrupole tandem mass spectrometry,addressing the identification of drugs in real hair samples.Methods After cryogenic grinding and ultrasonic extraction,hair was separated by Restek Allure PFPP column(100 mm × 2.1 mm,5 μm).The mobile phase A was 20 mmol/L ammonium acetate,0.1％formic acid and 5％acetonitrile aqueous solution.The mobile phase B was acetonitrile.An electrospray ionization source was used for data acquisition in scheduled MRM mode.Results The method showed good linearity for all analytes within the validated range(R2＞0.995),with the limits of detection ranging from 0.5 to 6 pg/mg,the limits of quantification ranging from 2.5 to 10 pg/mg.Accuracy ranged from 89.1％to 114.6％,with intra-day precision ranging from 0.2％to 11.7％,inter-day precision ranging from 4.0％to 15.8％.the matrix effects ranging from 89.4％to 118.4％,the recoveries ranging from 63.6％～112.1％.Totally 20 cases were detected positive in 196 actual hair samples.Conclusion The time-scheduled scanning method exhibits high stability and sensitivity,enabling high-throughput detection,and is suitable for forensic toxicology laboratories to identify drugs in hair.

Objective To explore the efficacy and safety of thalidomide,arsenic trioxide,dexamethasone and ascorbic acid(TADA)regimen in the treatment of early relapsed multiple myeloma(MM)patients(tumor progression within 12 months after initial treatment).Methods This study retrospectively analyzed 62 patients on TADA chemotherapy regimen and 57 patients on bortezomib,lenalidomide,dexamethasone(velcade,revlimid,dexamethasone,VRD)chemotherapy regimen for multiple myeloma(MM)in early stage relapse,who visited the Department of Hematology of Yanbian University Hospital between 2008 and 2020.We collected the general data profile,follow-up data during 3 courses of treatment,and laboratory data of all patients before and after chemotherapy.The efficacy of the patients was assessed by overall response rate(ORR)and complete response rate(CRR),and the occurrence of adverse reactions was collected for statistical analysis.Kaplan-Meier curves were plotted for the TADA and VRD groups under different renal function conditions,cytogenetically different risk stratification,and different ISS scenarios;the prognosis of patients on the TADA chemotherapy regimen was analyzed.Results There were no statistical differences in age,gender,immunochemical subtypes,ISS staging and high-risk FISH indicators between the two groups(P＞0.05).After chemotherapy,the haemoglobin and serum albumin of patients in the TADA group were significantly lower than those in the VRD group,whereas the percentage of blood calcium,blood β2 microglobulin,creatinine and bone marrow plasma cells were significantly higher than those in the VRD group(P＜0.05).In addition,the incidence of peripheral neuropathy was significantly lower than that in the VRD group(P＜0.05),and there was no statistically significant difference in other adverse reactions(P＞0.05).Compared with those in the VRD group,the overall survival(OS)(X2=8.201,P=0.004)and progression free survival(PFS)(x2=7.568,P=0.006)survival curves were statistically significant in the TADA group.In the TADA group OS(X2=3.924,P=0.048)in patients with normal and impaired renal functionat the time of enrolment and PFS(x2=9.008,P=0.003),OS(x2=9.330,P=0.002)and PFS(x2=16.090,P＜0.001)in ISS stage Ⅰ/Ⅱ and ISS stage Ⅲ at enrolment,OS(X2=10.149,P＜0.001)in high-risk FISH and non-high-risk patients at enrolment and PFS(X2=11.286,P＜0.001)survival curve results showed statistically significant differences.Conclusion The TADA regimen has better efficacy and safety in patients with early recurrence of MM.Renal function,ISS staging and FISH stratification are important factors affecting patients'prognosis.

BACKGROUND:In recent years,the incidence of hyperuricemia caused by purine metabolism disorders has been increasing,which can induce inflammatory responses and lead to renal injury. OBJECTIVE:To explore the role and mechanism of solute carrier family 2 member 12(SLC2A12)in hyperuricemia-related renal injury. METHODS:Renal tubular cells(HK2 cells)were divided into five groups:HK2 group,HK2+uric acid group,HK2+uric acid+NC group,HK2+uric acid+siSLC2A12 group,and HK2+uric acid+siSLC2A12+MK-2206 group.HK2 cells were treated with uric acid and transfected with siRNA SLC2A12,followed by MK-2206 treatment to inhibit AKT expression.Cell proliferation was detected by CCK-8 assay.Apoptosis was detected by TUNEL assay.qRT-PCR and western blot assay were used to detect fibrogenic factors as well as activation of the AKT/FOXO3a pathway.The concentrations of inflammatory cytokines were measured by enzyme-linked immunosorbent assay. RESULTS AND CONCLUSION:(1)Uric acid treatment inhibited cell proliferation and promoted cell apoptosis in the HK2+uric acid group compared with the HK2 group.The proliferative ability of cells in the HK2+uric acid+siSLC2A12 group was further decreased and apoptotic cells were further increased compared with the HK2 group.Compared with the HK2+uric acid+siSLC2A12 group,the HK2+uric acid+siSLC2A12+MK-2206 group showed an increase in cell proliferation and a decrease in apoptotic cells.(2)Compared with the HK2 group,the connective tissue growth factor(CTGF),α-smooth muscle actin(α-SMA)and transforming growth factor beta(TGF-β)expressions increased in the HK2+uric acid group;CTGF,α-SMA and TGF-β expression further increased in the HK2+uric acid+siSLC2A12 group.Compared with the HK2+uric acid+siSLC2A12 group,the CTGF,α-SMA and TGF-β expressions decreased.(3)Compared with the HK2 group,the expression of p-AKT,FOXO3a,and p-FOXO3a elevated in the HK2+uric acid group;the expression of p-AKT further increased,while the expression of FOXO3a and p-FOXO3a decreased in the HK2+uric acid+siSLC2A12 group.Compared with the HK2+uric acid+siSLC2A12 group,p-AKT expression decreased;FOXO3a and p-FOXO3a expression increased in the HK2+uric acid+siSLC2A12+MK-2206 group.(4)Compared with the HK2 group,interleukin-6,interleukin-1 β,and tumor necrosis factor α levels increased in the HK2+uric acid group;interleukin-6,interleukin-1 β,and tumor necrosis factor α levels further increased in the HK2+uric acid+siSLC2A12 group.Compared with the HK2+uric acid+siSLC2A12 group,interleukin-6,interleukin-1 β,and tumor necrosis factor α levels diminished in the HK2+uric acid+siSLC2A12+MK-2206 group.(5)These findings indicate that SLC2A12 may protect against hyperuricemia-induced renal injury by counteracting uric acid-induced tubular fibrosis and inflammation through activation of the FOXO3a pathway.

Purpose/Significance The relative positions of causality words are utilized to assist deep learning models to improve cau-sality prediction and mine medical text gain information.Method/Process The relative position information of causality words in medical texts is represented as a relational feature layer embedded in a pre-trained language model,and the baseline model is integrated for enti-ty recognition and relationship extraction.Result/Conclusion The F1 value of the model embedded in the relational feature layer is im-proved by 2.92 percentage points and 6.41 percentage points compared with the baseline models BERT-BiLSTM-CRF and CasRel,re-spectively,with better causal prediction capacity.

Purpose: This study aims to evaluate the efficacy and safety of a new combination treatment of vinorelbine and pyrotinib in human epidermal growth factor receptor 2 (HER2)–positive metastatic breast cancer (MBC) and provide higher level evidence for clinical practice. Materials and Methods: This was a prospective, single-arm, phase 2 trial conducted at three institutions in China. Patients with HER2-positive MBC, who had previously been treated with trastuzumab plus a taxane or trastuzumab plus pertuzumab combined with a chemotherapeutic agent, were enrolled between March 2020 and December 2021. All patients received pyrotinib 400 mg orally once daily plus vinorelbine 25 mg/m2 intravenously or 60-80 mg/m2 orally on day 1 and day 8 of 21-day cycle. The primary endpoint was progression-free survival (PFS), and the secondary endpoints included the objective response rate (ORR), disease control rate (DCR), overall survival, and safety. Results: A total of 39 patients were enrolled. All patients had been pretreated with trastuzumab and 23.1% (n=9) of them had accepted trastuzumab plus pertuzumab. The median follow-up time was 16.3 months (95% confidence interval [CI], 5.3 to 27.2), and the median PFS was 6.4 months (95% CI, 4.0 to 8.8). The ORR was 43.6% (95% CI, 27.8% to 60.4%) and the DCR was 84.6% (95% CI, 69.5% to 94.1%). The median PFS of patients with versus without prior pertuzumab treatment was 4.6 and 8.3 months (p=0.017). The most common grade 3/4 adverse events were diarrhea (28.2%), neutrophil count decreased (15.4%), white blood cell count decreased (7.7%), vomiting (5.1%), and anemia (2.6%). Conclusion Pyrotinib plus vinorelbine showed promising efficacy and tolerable toxicity as second-line treatment in patients with HER2-positive MBC.