OBJECTIVE To study the pharmacokinetic characteristics of antidepressant active components from Jiaotai pills in healthy subjects. METHODS Eight healthy subjects （3 males and 5 females） were recruited and given a single oral dose of 8.55 g of Jiaotai pills. Venous blood samples were collected before administration （0 h） and at intervals from 0.25 to 36.0 hours post- administration. After treating the plasma samples with protein precipitation， the blood concentrations of the antidepressant active ingredients （coptisine， berberine， magnoflorine， and palmatine） in Jiaotai pills were determined using liquid chromatography- tandem mass spectrometry （LC-MS/MS） method. DAS 2.0 software was employed to calculate the pharmacokinetic parameters of healthy subjects [half-life （t1/2）， peak concentration （cmax）， time to peak concentration （tmax）， area under the concentration-time curve （AUC）， and mean residence time （MRT）] using a non-compartmental model. RESULTS After healthy subjects took Jiaotai pills， the drug-time curve of the four antidepressant active ingredients conforms to a two-compartment model and tmax values were similar， with all reaching peak blood concentrations within 2.00 to 4.00 hours post-administration. However， the t1/2 and MRT of coptisine and berberine were significantly longer than that of magnoflorine and palmatine. There were also significant differences in the AUC and cmax among the four antidepressant active ingredients， with magnoflorine exhibiting markedly higher AUC0-t and cmax compared to the other three components. CONCLUSIONS In this study，LC-MS/MS is used to analyze the pharmacokinetic characteristics of the antidepressant active ingredients from Jiaotai pills in healthy subjects， can provide valuable references for the clinical application of Jiaotai pills.

Objective To explore the application value of dual-phase dual-energy CT (DECT) perfusion imaging in preoperative lung function assessment of lung cancer patients. Methods Data were collected from patients with stageⅠA non-small cell lung cancer who underwent surgical treatment in the Department of Thoracic Surgery, the First Affiliated Hospital of Nanjing Medical University, from November 2022 to June 2024. All patients underwent DECT perfusion imaging and pulmonary function testing (PFT) before surgery. PFT observation indicators included ventilation function indicators such as forced expiratory volume in one second (FEV1), forced vital capacity (FVC), 1-second rate (FEV1/FVC), maximal voluntary ventilation (MVV), and diffusion function indicators such as diffusing capacity for carbon monoxide (DLCO) and DLCO per liter of alveolar volume (DLCO/VA). The software eXamine was used to obtain quantitative parameters of DECT perfusion imaging, including volume parameters and perfusion parameters of both lungs and each lung lobe. The correlation between the volume parameters and perfusion parameters of both lungs and the ventilation and diffusion function indicators of the patients, as well as the differences in quantitative parameters of each lung lobe, was analyzed. Results The end-inspiration lung volume and biphasic volume difference were strongly positively correlated with FEV1 and FVC (r=0.636, r=0.682, r=0.614, r=0.624, P<0.001) and moderately positively correlated with MVV and DLCO (r=0.499, r=0.514, r=0.549, r=0.447, P<0.001); the end-expiration lung volume was weakly negatively correlated with DLCO/VA (r=−0.295, P=0.026); the volume ratio was positively correlated with FEV1, FVC, MVV, and MVV% (r=0.424, r=0.399, r=0.415, r=0.310, P<0.05); the end-inspiration iodine content was weakly positively correlated with DLCO/VA% (rs=0.292, P=0.030); the end-expiration iodine content was weakly positively correlated with FEV1, FVC, MVV, DLCO%, and DLCO/VA (r=0.307, r=0.299, r=0.295, r=0.366, r=0.320, P<0.05) and moderately positively correlated with DLCO (r=0.439, P<0.001); the end-inspiration iodine concentration was negatively correlated with FEV1, FVC, MVV, and MVV% (rs=−0.407, rs=−0.426, rs=−0.352, rs=−0.277, P＜0.05); the end-expiratory phase iodine concentration was moderately positively correlated with DLCO/VA (r=0.403, P=0.002); both the iodine concentration difference and the iodine concentration ratio were moderately positively correlated with FEV1, FEV1%, FVC, MVV, MVV% (P<0.05). The lung volume and iodine concentration ratio values were both highest in the left upper lung lobe and lowest in the right middle lung lobe; the differences in lung volume, lung volume ratio, intrapulmonary iodine content, and intrapulmonary iodine concentration were all highest in the lower lobes of both lungs and lowest in the middle lobe of the right lung. Conclusion Dual-phase DECT perfusion imaging can accurately assess overall lung function and quantify regional lung function.

Background/Aims: Cholangiocarcinoma (CCA) is a primary malignant neoplasm with an extremely poor prognosis. While combined chemoradiotherapy has been demonstrated to delay CCA progression to a certain extent, the absence of specific molecular biomarkers or targets significantly hinders the diagnosis and treatment of CCA. Methods: Through cross-analysis of proteomics and ADMA modificationomics, we identified DDX1 overexpressed in CCA with elevated R602-ADMA modifications. HPLC-MS/MS identified PRMT1 as the methyltransferase and USP10 as the deubiquitinating enzyme for DDX1. Immunofluorescence and nuclear-cytoplasmic partitioning experiments confirmed DDX1’s nuclear localization. GO and KEGG analyses clarify the biological functions of DDX1 in response to hypoxia. RNA-seq transcriptomics analyzed key pathways influenced by DDX1. A hydrodynamic in situ CCA mouse model was established to validate the chemopreventive effects of the PRMT1-specific inhibitor GSK715 on CCA development. Results: DDX1 promotes CCA progression both in vivo and in vitro and can be inhibited by GSK715. Mechanistically, PRMT1 mediates ADMA modification at position R602 of DDX1. This modification promotes DDX1 nuclear localization by recruiting USP10 to deubiquitinate DDX1, while simultaneously inhibiting PRMT1 degradation. DDX1 promotes the transcription of PRMT1 and USP10 by binding to the mRNA 3’UTR region, establishing a positive feedback regulatory pathway. This mechanism promotes the occurrence and development of CCA and can serve as a target for the inhibitor GSK715 to suppress CCA progression. Conclusions Our study identified DDX1-R602-ADMA modification as a novel ADMA modification in CCA. It further confirmed its pivotal role in CCA progression. Targeting the USP10-PRMT1-DDX1 axis may represent a significant therapeutic approach for CCA.

Large language models (LLMs) offer a modern approach to help inherit traditional Chinese medicine (TCM). This article discussed the progress of LLM applications in TCM and proposed future development directions by reviewing the existing research. We have found that LLMs and related technologies have excellent applications and performance in the management of TCM knowledge and data. They are often applied in information extraction, knowledge graph construction, and data standardization processing. However, data quality and security issues need to be given more attention. In clinical diagnosis and treatment, LLMs can imitate the thinking of TCM by disassembling and reconstructing its diagnostic process and can achieve functions such as prescription recommendation and question and answer (Q&A). However, this approach involves LLMs making inferences and predictions based on existing corpora and thus may not flexibly handle complex environments and tasks. Moreover, the current evaluation criteria for TCM LLMs can be summarized into 3 categories: general evaluation metrics, technical framework evaluation, and evaluation criteria for the characteristics of TCM (such as consistency rates of prescriptions and diagnostic suggestions). However, the lack of a unified and standardized evaluation system hinders the clinical application of TCM LLMs. The future progress of TCM LLMs should focus on the 3 aforementioned critical aspects to achieve technological breakthroughs. In addition, we are promoting the research on vertical TCM LLMs and application terminals. We believe this will bring new ideas to the research on TCM LLMs.

Objective To investigate the effect of withaferin A on aquaporin 4(AQP4)expression and brain edema in rats with traumatic brain injury(TBI).Methods A TBI rat model was established using the modified free-fall Feeney method,following which the rats were divided into model group and low-dose,medium-dose and high-dose withaferin A groups.Another sham operation group was set up,with 15 rats in each group.Withaferin A was administered once a day by intraperitoneal injection for seven consecutive days.The neurological function of the rats was evaluated using the neurological severity score(NSS),the brain water content was measured using the dry-wet spe-cific gravity method,the blood brain barrier permeability was measured using the Evans Blue method,and the histopathological changes of the cerebral cortex were observed by HE staining.Further,the apoptosis level of the hippocampal cells was observed by TUNEL staining and the expression levels of AQP4 mRNA in the cerebral cortex was detected by real-time quantitative PCR.The expression levels of rhe AQP4 protein in the cerebral cortex,and that of Bax,Bcl-2 and cleaved caspase-3 proteins in the hippocampus were detected by Western blotting.Results Medium and high doses of disolanesin A significantly improved the histopathological changes in the cerebral cortex and decreased the neurological impairment,brain water content and blood brain barrier permeability scores in TBI rats.Simultaneously,A QP4 mRNA and protein expression levels in the cerebral cortex,and Bax and cleaved caspase-3 protein expression and apoptosis levels in the hippocampal tissues of TBI rats decreased;however,Bcl-2 protein expression levels increased.Conclusion Withaferin A can reduce brain edema after TBI and improve neurological function.The mechanism may be related to the inhibition of AQP4 expression.

Objective To investigate the effect of withaferin A on aquaporin 4(AQP4)expression and brain edema in rats with traumatic brain injury(TBI).Methods A TBI rat model was established using the modified free-fall Feeney method,following which the rats were divided into model group and low-dose,medium-dose and high-dose withaferin A groups.Another sham operation group was set up,with 15 rats in each group.Withaferin A was administered once a day by intraperitoneal injection for seven consecutive days.The neurological function of the rats was evaluated using the neurological severity score(NSS),the brain water content was measured using the dry-wet spe-cific gravity method,the blood brain barrier permeability was measured using the Evans Blue method,and the histopathological changes of the cerebral cortex were observed by HE staining.Further,the apoptosis level of the hippocampal cells was observed by TUNEL staining and the expression levels of AQP4 mRNA in the cerebral cortex was detected by real-time quantitative PCR.The expression levels of rhe AQP4 protein in the cerebral cortex,and that of Bax,Bcl-2 and cleaved caspase-3 proteins in the hippocampus were detected by Western blotting.Results Medium and high doses of disolanesin A significantly improved the histopathological changes in the cerebral cortex and decreased the neurological impairment,brain water content and blood brain barrier permeability scores in TBI rats.Simultaneously,A QP4 mRNA and protein expression levels in the cerebral cortex,and Bax and cleaved caspase-3 protein expression and apoptosis levels in the hippocampal tissues of TBI rats decreased;however,Bcl-2 protein expression levels increased.Conclusion Withaferin A can reduce brain edema after TBI and improve neurological function.The mechanism may be related to the inhibition of AQP4 expression.

Objective:To compare the clinical efficacy and effects on cognitive function of magnetic seizure therapy (MST) and modified electroconvulsive therapy (MECT) in the treatment of major depressive episode (MDE).Methods:From January 1, 2019 to December 31, 2021, 40 patients who met the MDE diagnostic criteria in the fifth edition of the Diagnostic Statistical Manual of Mental Disorders (DSM-5) were selected in Shanghai Mental Health Center. Participants were randomly assigned to MECT therapy group (20 patients) and MST therapy group (20 patients) using the random number table method. Both groups received MECT or MST while using serotonin reuptake inhibitors (SSRIs), 3 times a week for 4 weeks. The 17-items Hamilton Depression Rating Scale (HAMD 17) and the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) were performed before and after treatment. HAMD 17 reduction rate and effective rate were the main assessment indicators, while RBANS total score and factor scores were considered as the secondary assessment indicators. T-test was used to compare the reduction rate of HAMD 17 between the two groups, and corrected Chi-square test or Fisher′s exact probability method was used to compare the effective rate of treatment between the two groups. HAMD 17 scores and RBANS scores before and after treatment were compared using two-factor repeated measure ANOVA. Results:There were no significant differences in baseline HAMD 17 scores and RBANS scores between 2 groups( t=0.29, P=0.773; t=0.67, P=0.509). The treatment effective rate in the MECT group was 90% (18/20), and the average reduction rate of HAMD 17 was 67.9%. Meanwhile, the effective rate of MST group was 75% (15/20), and the average reduction rate of HAMD 17 was 60.9%. There was no significant difference in the reduction rate and effective rate of HAMD 17 between the two groups ( t=0.69, P=0.493; χ2=0.16, P=0.693). The total scores and factor scores of RBANS after treatment were lower than those before treatment, with statistical significance(total scores: F=19.29, P<0.001;immediate memory score: F=6.22, P=0.020; language function score: F=9.13, P=0.006;attention score: F=5.23, P=0.031;delayed memory score: F=35.90, P<0.001). There was no significant difference in the total scores and factor scores of RBANS before and after treatment in MST group(total scores: F=0.49, P=0.490;immediate memory score: F=2.25, P=0.147;language function score: F=1.22, P=0.280;attention score: F=0.23, P=0.640;delayed memory score: F=0.02, P=0.887). Conclusions:The efficacy of MST treatment and MECT treatment in treating MDE patients seems to be comparable. MDE patients receiving MST had less impact on cognitive function compared to those treated with MECT.

Objective To construct 5 machine-learning models and compare their performance in predicting the associations between pre-pregnancy socio-psycho-behavioral exposures of both spouses and preconception outcomes.Methods Based on Chongqing Preconception Reproductive Health and Birth Outcome Cohort of volunteers recruited from Chongqing Health Center for Women and Children during January 2019 and March 2022,5 447 couples were recruited and surveyed through interviewer-interview for the demographic and social-psychological-behavioral data of both spouses(221 variables).According to the inclusion and exclusion criteria,4 097 couples were finally included,and randomly assigned into a training set(n=2 867 spouses)and a validation set(n=1 230 spouses)at a ratio of 7∶3.Feature analysis and collinear screening were applied to select the potential exposure factors.In consideration of difficulty to carry out semen parameters analysis in primary healthcare institutions,feature Set 1 including sperm parameters and feature Set 2 excluding semen parameters were constructed by including or excluding sperm quality simultaneously in the training set and the validation set.Five algorithms,that is,Logistic Regression,Naive Bayes,Random Forest,Gradient Boosting Machine,and Support Vector Machine,were used to construct preconception outcome prediction models,and the parameters of each model were optimized using random search combined with grid search.The predictive performance of each model was compared using precision,recall,F1 score,area under the receiver operating characteristic curve(AUC),and calibration curve.The optimal model was then selected by comparing the changes in the predictive ability of the questionnaire data for fertility outcomes with or without semen parameters.Results There were 24 variables screened out in feature Set 1,and 16 variables in feature Set 2.In feature Set 1,the gradient boosting machine performed better,with a relatively higher AUC value(0.651)and better F1 score(0.61).The logistic regression model performed stably(AUC value=0.647)and was suitable as the reference model.The random forest(AUC value=0.641),Naive Bayes(AUC value=0.641),and support vector machine(AUC value=0.634)performed second-best.By utilizing the gradient boosting machine,comparable results were found between the predictions from feature sets with or without semen parameters,as in feature Set 1,the AUC value of its validation set was 0.651(95%CI:0.629～0.681),the prediction accuracy was 0.63,the recall rate was 0.65,and the average precision value F1 was 0.61;and in feature Set 2,the AUC value of its validation set was 0.649(95%CI:0.624～0.663),and both the calibration curves were close to the ideal curve.The prediction results indicated that in feature Set 1,the features highly negatively correlated with preconception outcomes were female age,male age,and no pregnancy within 1 year without contraception,while the features highly positively correlated with preconception outcomes were female pregnancy history,total sperm vitality,and use of contraceptive measures before enrollment.Conclusion Among the 5 machine-learning algorithms performed in this cohort data,the gradient boosting machine shows slightly better performance.There are 24 factors being associated with preconception outcomes in both spouses,and the performance of the simplified model excluding semen parameters is not significantly declined.It is feasible to use machine-learning methods to predict human preconception outcomes through social-psychological-behavioral questionnaires.

Objective:To investigate the clinical, phenotypic and genotypic features of hereditary hyperhomocysteinemia mainly involving the nervous system.Methods:The clinical data, physical examination, imaging results, blood-urine tandem mass spectrometry analysis and genetic results of 8 patients with hyperhomocysteinemia from the Department of Neurology of the Shanghai Sixth People′s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from September 2020 to December 2023 were collected, and the clinical, genetic features and pathogenic mechanisms of these patients were summarized and analyzed.Results:Among all the 8 patients (male∶female=5∶3), the age of onset was 7 to 74 (40.4±7.4) years. Seven had adult-onset and 1 had juvenile-onset, with various types of onset symptoms, including progressive stiffness in lower limbs and walking difficulty, limb numbness, tremor, mental and behavioral abnormalities, cerebrovascular events, etc. Moderate to severe hyperhomocysteine (38.4-190.6 μmol/L) was present in all patients at first diagnosis. Among the 5 patients with cranial imaging examinations, all had white matter lesions. The genetic testing showed 7 patients with MTHFR gene pathogenic mutations (1 case with c.416C>T, and 6 cases with c.665C>T), and 1 patient with MMACHC gene pathogenic mutation (c.482G>A). Conclusions:Hereditary hyperhomocysteinemia is a metabolic disease, with complicated manifestations, varying degrees of severity, and diverse pathogenic genes. The cases with neurological involvement are not rare, such as spastic paraplegia-like manifestations, tremor, peripheral neuropathy, mental and behavioral abnormalities, cerebrovascular events.

Objective To analyze the characteristics of TCM symptoms of aging in female insomnia patients;To provide syndrome differentiation evidence for clinical prevention and treatment of female aging.Methods A cross-sectional study method was used to include female insomnia patients who attended outpatient clinics at Dongzhimen Hospital of Beijing University of Chinese Medicine,Beijing Changping District Hospital of Traditional Chinese Medicine,and the Third Affiliated Hospital of Beijing University of Chinese Medicine from August 2021 to July 2024.The patients'clinical information was collected,and frequency analysis,factor analysis,and clustering analysis of the relevant clinical information of the 107 female insomnia patients were conducted,which,together with the experts'opinions,resulted in characteristics of TCM syndrome elements and syndrome distribution of aging in female insomnia patients.Results Totally 20 core items were screened and 7 common factors were obtained from the factor analysis.There were 5 types of syndrome elements of disease location associated with aging symptoms in female patients with insomnia,including heart,liver,spleen,kidney and lung;and there were 7 types of syndrome elements of disease property,including qi deficiency,yin deficiency,qi stagnation,blood deficiency,heat,phlegm,and dampness.There were 4 types of syndromes were obtained from the systematic clustering,including heart-kidney disharmony syndrome,heart-liver stagnation syndrome,spleen deficiency and qi stagnation syndrome,lung-spleen qi deficiency syndrome.Conclusion By analyzing the TCM syndrome characteristics of aging symptoms in female patients with insomnia,four types of syndromes are obtained.The heart-kidney disharmony syndrome is the common syndrome.The internal relationship between insomnia and aging process in female patients with insomnia is revealed from the perspective of pathogenesis,which can provide a research basis for the clinical practice of TCM anti-aging guided by syndrome differentiation and treatment in the future.