1.Effect Difference and Mechanisms of Zishenwan Against Chronic Prostatitis Before and After Salt-processing of Anemarrhenae Rhizoma and Phellodendri Chinensis Cortex by Integrating Network Pharmacology and Metabolomics
Shangling ZHAO ; Xiao MENG ; Sirui LI ; Rui TAN ; Changjiang HU ; Lingying YU ; Zhimin CHEN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(13):177-187
ObjectiveThis paper aims to systematically reveal the effect difference and mechanisms of Zishenwan against chronic prostatitis (CP) before and after salt-processing of Anemarrhenae rhizoma and Phellodendri chinensis cortex based on an integrated strategy of ultra-high performance liquid chromatography-quadrupole-orbitrap mass spectrometry (UPLC-Q-Orbitrap-MS/MS), network pharmacology, and serum metabolomics. MethodsZishenwan samples before and after salt-processing of Anemarrhenae rhizoma and Phellodendri chinensis cortex were extracted by alcohol-water dual extraction. The chemical components of each sample were detected by UPLC-Q-Orbitrap-MS/MS, and differential components were screened by multivariate statistical analysis. Network pharmacology analysis was performed based on the identified chemical components of Zishenwan to construct a protein-protein interaction (PPI) network of "component, target, and pathway", and the core components, targets, and pathways of Zishenwan against CP were screened. Forty-two male Sprague-Dawley (SD) rats were randomly divided into a blank group, a model group, a Qianliekang group (1.54 g·kg-1), low- and high-dose raw Zishenwan groups (1.8, 5.4 g·kg-1), and low- and high-dose salt-processed Zishenwan groups (1.8, 5.4 g·kg-1). The CP rat model was established by intraprostatic injection of carrageenan. After one week of recovery, the rats were administered the corresponding drugs for 21 days, while those in the blank group and model group received the same volume of normal saline. After the experiment, serum and tissue samples were collected to evaluate pharmacodynamic indicators including organ indices, histopathology, and inflammatory factors in serum. Subsequently, untargeted serum metabolomics technology was used to analyze metabolite changes and perform pathway enrichment analysis. The network pharmacology was used to construct a network of "differential metabolite, reaction, enzyme, and gene". ResultsA total of 76 components were identified in raw and salt-processed Zishenwan, and 34 differential components were screened by multivariate statistical analysis. Among them, the contents of 14 components, including berberine, berberrubine, and phellodendrine, increased after salt-processing, while the contents of 20 components, such as neomangiferin, decreased. The 28 active components and 185 potential targets were screened out by network pharmacology. The core components included berberine, phellodendrine, magnoflorine, and jatrorrhizine, and the core targets included signal transducer and activator of transcription 3 (STAT3), protein kinase B1 (Akt1), and transcription factor AP-1 (JUN). These targets were significantly enriched in pro-inflammatory signaling pathways such as phosphatidylinositol 3-kinase/protein kinase B (PI3K/Akt) and mitogen-activated protein kinase (MAPK). Compared with the model group, all Zishenwan administration groups showed decreased prostate index, reduced levels of interleukin (IL)-1β, IL-18, and B-cell lymphoma-2 (Bcl-2) in serum (P<0.05, P<0.01), as well as varying degrees of alleviation in histopathological damage. At the same dose, compared with the raw Zishenwan groups, the salt-processed Zishenwan groups showed lower prostate index, pathological scores, and IL-1β, IL-18, and Bcl-2 levels in serum, but the differences were not statistically significant. Metabolomics reveals that 38 differential metabolites were reversed after salt-processed Zishenwan administration. Both raw and salt-processed Zishenwan regulated pathways such as β-alanine metabolism and tryptophan metabolism. In addition to the common regulated pathways, the salt-processed group specifically regulated pantothenate and coenzyme A biosynthesis, pyrimidine metabolism, and arginine and proline metabolism. The intersecting pathways between network pharmacology and metabolomics were tryptophan metabolism and arginine and proline metabolism, with overlapping targets including monoamine oxidase A (MAOA) and arginase 1 (ARG1). ConclusionThe increased contents of components such as berberine and phellodendrine in salt-processed Zishenwan may enhance its therapeutic effect on CP by inhibiting the PI3K/Akt and MAPK signaling pathways, along with multi-target regulation of tryptophan, arginine, and pantothenate metabolism pathways to comprehensively regulate inflammatory and immune responses.
2.A Comparative Study of Artificial Intelligence-based Classification Versus Manual Classification of Medical Adverse Events: Taking the DeepSeek Large Language Model As an Example
Rui WANG ; Xutong TAN ; Congpu ZHAO ; Shuchang WANG ; Zheng CHEN ; Xiaojun MA ; Zhiling CAI
Medical Journal of Peking Union Medical College Hospital 2026;17(3):828-833
To analyze the application value of artificial intelligence (AI)-based classification in the categorization of medical adverse events. Medical adverse events reported to the Adverse Event Reporting System of Peking Union Medical College Hospital from September 1, 2023, to August 31, 2024, were retrospectively collected as the study subjects. After de-identification of adverse events meeting the inclusion criteria, conventional manual classification and AI-based classification using a large language model (DeepSeek-R1 Full-Context Internet Edition) were performed. The time required for classification using both methods was recorded, and the consistency and discrepancies between the two methods were compared. Using manual classification as the gold standard, the accuracy of AI-based classification was comprehensively evaluated. A total of 273 medical adverse events were analyzed. Manual classification took 38 838 seconds in total, with an average of 14.22 seconds per event. AI-based classification took 600 seconds in total, with an average of 2.19 seconds per event. The two methods showed consistent classification in 202 events and inconsistent classification in 71 events, yielding an overall agreement rate of 73.99% and a Kappa coefficient of 0.646 (95% CI: 0.575-0.717), with a standard error of 0.0362. Using manual classification as the gold standard, AI-based classification achieved accuracy ranging from 80% to 100%, precision from 30% to 100%, recall from 40% to 100%, F1 scores from 0.46 to 0.79, and specificity from 46% to 98%. Notably, AI-based classification demonstrated balanced and overall excellent performance in the categorization of device-related and drug-related adverse events. The DeepSeek large language model can assist in improving the efficiency of medical adverse event classification, showing promising application potential, particularly in the categorization of device-related and drug-related adverse events.
3.Analysis of monitoring data of 131I internal exposure among nuclearmedicine staff in Guangdong Province, China, 2022-2024
Hongwei YU ; Xuan LONG ; Zhan TAN ; Huifeng CHEN ; Rui MA ; Weixu HUANG
Chinese Journal of Radiological Health 2026;35(3):313-318
Objective :
To analyze the monitoring data of 131I internal exposure in Guangdong Province over the past 3years, study the thyroid 131I contamination levels among nuclear medicine staff, and provide a basis for optimizing themonit-oring plan.
Methods :
Using a convenience sampling method, 574 detections of nuclear medicine staff from 28 hospitals inGuangdong Province were included in the study. The thyroid 131I activity was measured directly in vivo. Differences indetec-tion rates were analyzed, and committed effective doses were estimated.
Results :
Over the past 3 years in GuangdongProvince, 131I accumulation was found in the thyroids of staff from 14 hospitals for 62 (10.8%) detections, with an averageactivity of 154.8 (13.2-8730.6) Bq. The adjusted annual intake was 50.7 (4.5-820.6) kBq. The committed effective dose was0.56 (0.05-9.03) mSv/a, and the values were ≥ 2 mSv for 8 persons. Among different positions, nurses showed the highestdetection rate (19.6%), followed by cleaners (14.7%), with significant differences (P<0.05). Among different exposure types,the detection rate was highest for loading medication into automatic dispenser (23.3%), and the mean activity was highest forentering thyroid cancer patient ward (495.4 Bq), with significant differences (P<0.05).
Conclusion
Monitoring of 131Iin-ternal exposure in Guangdong Province found that the radiation doses of some staff members had exceeded the thresholdspecified in other investigations. Routine personal 131I internal exposure monitoring should be conducted, with increasedmonitoring frequency. Priority should be given to nurses and cleaners, with monitoring extended to cleaners and outsourceddispensing staff.
4.Qualitative study on newly employed nurses′ cognition and experience of reflective practice
Mingxing LIANG ; Xingxing ZHOU ; Ling LIU ; Rui ZHANG ; Xinping TAN ; Yuan YUAN
Chinese Journal of Practical Nursing 2025;41(10):790-795
Objective:To deeply understand newly employed nurses' cognition and experience of reflective practice (RP) and explore its application in clinical settings, providing a scientific basis for constructing an RP training system.Methods:A descriptive phenomenological research method was used, with purposive sampling to select newly employed nurses from the Affiliated Hospital of Yangzhou University between October and December 2023. Semi-structured interviews were conducted, and traditional content analysis was used to analyze the data.Results:Fourteen newly employed nurses were interviewed, including 3 males and 11 females, aged 22-25 (22.92 ± 0.92) years old. A total of 190 000 words of interview data were transcribed. Four themes and eight sub-themes were extracted: understanding of RP, attitudes toward RP, differences in RP abilities, and challenges in the clinical application of RP.Conclusions:Newly employed nurses have some understanding of RP, but there are issues such as insufficient learning pathways, negative attitudes toward RP, differences in RP abilities, and challenges in clinical application. RP learning should be incorporated into the training of newly employed nurses to promote the improvement of their RP abilities.
5.Comparison of chemical constituents in traditional decoction and formula granule decoction of Wendan Decoction
Tan XUE ; Man-wen XU ; Xue-hua FAN ; Feng-yu DONG ; Yan MIAO ; Jia-ning SUN ; Jun-han SHI ; Lu ZHANG ; Jing YAO ; Rui-xin LIU
Chinese Traditional Patent Medicine 2025;47(2):384-394
AIM To compare the chemical constituents in traditional decoction and formula granule decoction of classical famous prescription Wendan Decoction.METHODS The HPLC fingerprints were established,after which the contents of adenosine,synephrine,liquiritin,naringin,hesperidin,6-gingerol and adenosine cyclophosphate were determined,cluster analysis,principal component analysis and multidimensional scaling analysis were adopted in the investigation of component differences,and the equivalent of formula granules was adjusted.RESULTS The similarities of HPLC fingerprints for 10 batches of traditional decoctions were higher than those of HPLC fingerprints for 9 batches of formula granule decoctions(P<0.01).Adenosine,synephrine,liquiritin,hesperidin and cyclic adenosine monophosphate demonstrated higher contents in traditional decoctions than those in formula granule decoctions(P<0.05),6-gingerol displayed lower content than that in the latter produced by manufacturers A,C(P<0.05),which was higher than that in the latter produced by manufacturer B(P<0.01).Various batches of traditional decoctions and formula granule decoctions could be obviously distinguished,adenosine,synephrine and hesperidin exhibited great influences on the classification of principal component analysis,and the quality of formula granule decoctions produced by manufacturer C was closer to that of traditional decoctions.After equivalent correction,the contents of various constituents in formula granule decoctions produced by manufacturers A,C showed no significant differences as compared with those in traditional decoction(P>0.05).CONCLUSION The formula granules of Wendan Decoction from different manufacturers exist quality differences,so the preparation process and extraction process of this preparation should be optimized to improve quality,and equivalent ratio should be adjusted according to actual requirements to ensure its scientific and rational clinical application.
6.Study on the Characteristics of TCM Syndromes of Insomnia Based on Multiple Data Analysis Methods
Xianbei WANG ; Rui ZHANG ; Jiwei ZHANG ; Yuying XU ; Ning SUN ; Miaoran WANG ; Xiaoning TAN ; Yufei WU ; Zirong LI ; Jing CAO ; Taiwei LOU ; Rui WEI ; Hongjin DU ; Qiuyan LI
Chinese Journal of Information on Traditional Chinese Medicine 2025;32(5):25-31
Objective To explore the distribution of common TCM syndromes and symptoms of insomnia;To prepare for the construction of the theoretical framework and item pool of syndrome diagnosis and efficacy evaluation scale.Methods TCM guideline standards of insomnia,textbooks and journals over the years were retrieved,the information of TCM syndromes,syndrome elements and symptoms was extracted,the guideline textbook and journal database were established,and descriptive statistics,association rules,systematic clustering,factor analysis,potential categories and implicit structure analysis were carried out.Results Totally 116 guide standards and textbooks over the years were included,and 454 articles of journals were included.The high-frequency symptoms accounted for≥3%of the guide textbooks and journal databases were 87 and 79 categories,respectively,and the cumulative proportion was 87.48%and 87.75%,respectively.According to the analysis results,five common TCM syndromes and their characteristic symptom classification of insomnia were finally deduced.According to the frequency/person time distribution,they were heart and spleen deficiency syndrome,yin deficiency and fire hyperactivity syndrome,liver fire disturbing heart syndrome,phlegm heat disturbing heart syndrome,heart and gallbladder qi deficiency syndrome.Conclusion There are five common TCM syndromes of insomnia,and the characteristic symptoms of each TCM syndrome provide a reference source for the theoretical framework of syndrome diagnosis and efficacy evaluation scale and the establishment of item pool.
7.Correlation between Serum miR-497-5p,FGF2 and BDNF Expression Levels with Cognitive Dysfunction in Parkinson's Disease Patients
Weining CHENG ; Rong HUANG ; Rui ZHANG ; Dengyun TAN
Journal of Modern Laboratory Medicine 2025;40(4):121-126
Objective To investigate the relationship between serum levels of micro RNA(miR)-497-5p,fibroblast growth factor-2(FGF2)and brain-derived neurotrophic factor(BDNF),with cognitive dysfunction in Parkinson's disease(PD)patients.Methods From April 2022 to April 2024,86 PD patients(study group)treated in Wuhan Xinzhou District People's Hospital and 60 healthy individuals(control group)who underwent physical examination in Wuhan Xinzhou District People's Hospital were selected.Serum miR-497-5p levels were determined by real-time quantitative polymerase chain reaction(RT-qPCR),and serum FGF2 and BDNF levels were measured by enzyme linked immunosorbent assay(ELISA).Spearman was applied to analyze the correlation between serum miR-497-5p,FGF2,BDNF levels and montreal cognitive assessment(MoCA score).Logistic analysis was applied to analyze the factors influencing cognitive dysfunction in PD patients.Receiver operating characteristic(ROC)was applied to analyze the diagnostic value of serum miR-497-5p,FGF2 and BDNF for cognitive dysfunction in PD patients.Results The serum miR-497-5p(2.73±0.67)expression level in the study group was obviously increased than that in the control group(1.04±0.34),while the expression levels of FGF2(1.94±0.45ng/ml)and BDNF(8.31±2.44ng/ml)were obviously reduced than those in the control group(2.71±0.69ng/ml,12.81±3.07ng/ml),with significate differences(t=17.977,8.161,9.850,all P<0.05).Serum miR-497-5p was negatively correlated with MoCA score(r=-0.331,P<0.05),while FGF2 and BDNF levels were positively correlated with MoCA score(r=0.404,0.361,all P<0.05).Cognitive dysfunction group had significantly higher disease duration,FGF2,BDNF levels,and MoCA scores than the cognitively normal group.The course of disease and miR-497-5p levels in the cognitive dysfunction group were obviously higher than that in the normal cognitive function group,FGF2,BDNF levels,and MoCA scores in the cognitive dysfunction group were obviously lower than that in the normal cognitive function group(t=2.350~11.792,all P<0.05).The course of disease and serum miR-497-5p were risk factors for cognitive dysfunction in PD patients(Wald χ2=4.712,5.704,all P<0.05),while MoCA score,serum FGF2,and BDNF were protective factors for cognitive dysfunction in PD patients(Wald χ2=4.499,5.556,5.217,all P<0.05).The AUC and sensitivity of the combination of serum miR-497-5p,FGF2,and BDNF in PD patients with cognitive impairment were higher than those of individual diagnosis.The diagnostic effect of the combination of miR-497-5p,FGF2,and BDNF in PD patients with cognitive dysfunction was better than that of individual diagnosis,and the differences were statistically significant(Z=2.279,2.236,2.123,all P<0.05).Conclusion Elevated serum miR-497-5p level and decreased FGF2 and BDNF levels can increase the risk of cognitive dysfunction in PD patients,and the combination of the three has good diagnostic value for cognitive dysfunction in PD patients.
8.New progress in pathogenic effect of pyroptosis in rheumatoid arthritis
Jing MAO ; Min TAN ; Jiayao HAO ; Rui ZHANG ; Wenhua LI ; Xianmeng ZHANG ; Haili SHEN
Chinese Journal of Immunology 2025;41(4):1021-1024,后插1
Pyroptosis is a novel,inflammatory programmed cell death mediated by gasdermins(GSDMs),which characterized by the formation of membrane pores and the release of pro-inflammatory cytokines.Rheumatoid arthritis(RA)is a chronic,inflamma-tory autoimmune disease characterized by persistent synovitis in multiple joints,progressive destruction of bone and cartilage,and eventually leading to joint deformity and disability.Recently,it has been shown that pyroptosis plays an important role in development of RA.This review summarizes the molecular mechanism of pyroptosis,its pathogenic role and therapeutic strategies in RA,aiming of providing new insights for the mechanism research and new drug development of RA.
9.Comparison of the Phoenix scoring system and commonly used pediatric sepsis scores in predicting mortality risk in pediatric patients with severe sepsis under traditional standards
Haonan WANG ; Yinglang HE ; Rui TAN ; Han LI ; Xian LI ; Nan HOU ; Chen JI ; Zhe LI ; Yue WANG ; Shuangshuang PENG ; Le JING ; Liye GU ; Junjie ZHAO ; Hongjun MIAO
Chinese Journal of Burns 2025;41(3):222-231
Objective:To explore the differences between the Phoenix sepsis scoring system including Phoenix sepsis score (PSS) and Phoenix-8 organ dysfunction score (hereinafter referred to as Phoenix-8) and the commonly used pediatric sepsis scores in evaluating clinical characteristics and prognostic analysis of pediatric patients with severe sepsis diagnosed under traditional standards, namely the diagnostic criteria from the 2005 International Pediatric Sepsis Consensus Conference.Methods:This study was a retrospective observational study. From December 2020 to March 2023, 202 pediatric patients with severe sepsis meeting the inclusion criteria were admitted to the Children's Hospital of Nanjing Medical University. Based on the sepsis diagnostic criteria outlined in the International Consensus Criteria for Pediatric Sepsis and Septic Shock (2024), the pediatric patients were categorized into a sepsis group and a non-sepsis group. Sepsis group was further subdivided into a death subgroup and a survival subgroup based on the outcomes. The age, hospitalization costs, disease outcome indicators (e.g., mortality rate and incidence of septic shock), major organ (e.g., heart, liver, lungs, and kidneys) damage and their correlations, as well as PSS, Phoenix-8 and commonly used pediatric sepsis scores (e.g., pediatric sequential organ failure assessment (pSOFA), pediatric risk of mortality score Ⅲ (PRISM Ⅲ), pediatric logistic organ dysfunction-2 score (PELOD-2), pediatric multiple organ dysfunction score (P-MODS), pediatric critical illness score (PCIS), and pediatric early warning score (PEWS)) were collected and compared. Receiver operating characteristic (ROC) curve and precision-recall curve were plotted to evaluate the predictive ability of PSS, Phoenix-8, and commonly used pediatric sepsis scores for mortality risk in pediatric patients with severe sepsis under traditional standards. Predictive performance was quantified using the area under the ROC curve (AUROC). Univariate logistic regression analysis was employed to quantify the odds ratios of PSS and Phoenix-8 for predicting mortality risk. Patients with severe sepsis under traditional standards were further stratified into subgroups based on complications and comorbidities, including central nervous system (CNS) diseases, multiple infections, cardiovascular system diseases, shock, and malignancies. The Hosmer-Lemeshow goodness-of-fit test was used to assess calibration of PSS and Phoenix-8, and the DeLong test was used to compare whether there were statistically significant differences in the AUROC of PSS and Phoenix-8 for predicting mortality risk among different subgroups of pediatric patients. Results:Compared with those in non-sepsis group, pediatric patients in sepsis group were significantly older ( Z=-2.92, P<0.05) with higher incidences of septic shock and mortality, hospitalization costs, PRISM Ⅲ, PEWS, pSOFA, PELOD-2, PSS, and Phoenix-8 (with χ2 values of 21.28 and 13.64, respectively, Z values of -1.99, -5.33, -5.10, -8.55, -6.91, -10.98, and -9.93, respectively, P<0.05), and lower PCIS ( Z=-3.34, P<0.05). Compared with those in survival subgroup, hospitalization costs, PSS, Phoenix-8, PRISM Ⅲ, PEWS, pSOFA, PELOD-2, and P-MODS of pediatric patients in death subgroup was significantly higher (with Z values of -2.50, -3.50, -2.47, -5.11, -3.84, -2.94, -3.61, and -3.04, respectively, P<0.05). Compared with those in survival subgroup, the incidences of lung damage and liver damage of pediatric patients in death subgroup were also significantly higher (with χ2 values of 6.20 and 10.94, respectively, P<0.05), and 64.7% (97/150) of patients exhibited two or more concurrent organ damage. For predicting mortality risk in pediatric patients with severe sepsis under traditional standards, the AUROC values for PRISM Ⅲ, PCIS, PEWS, pSOFA, PELOD-2, P-MODS, PSS, and Phoenix-8 were approximately 0.70, with optimal cutoff values of 17.5, 91.0, 5.5, 4.5, 2.5, 4.5, 3.5, and 4.5, respectively; PELOD-2 demonstrated the highest sensitivity (0.83); while PRISM Ⅲ, PSS, and Phoenix-8 showed high specificity (>0.80). Univariate logistic regression analysis showed that for every 1-point increase in the PSS within 24 hours of pediatric intensive care unit admission, the relative risk of mortality increased by 63.7% (with odds ratio of 1.64, 95% confidence interval of 1.34-1.99, P<0.05). Similarly, for every 1-point increase in the Phoenix-8, the relative risk of mortality increased by 37.5% (with odds ratio of 1.38, 95% confidence interval of 1.18-1.60, P<0.05). The AUROC values (around 0.80) of PSS and Phoenix-8 for predicting mortality risk in pediatric patients with severe sepsis combined with CNS diseases, multiple infections, and cardiovascular system diseases were relatively high. In contrast, the AUROC values (0.60-0.80) for predicting mortality risk in pediatric patients with severe sepsis combined with shock or malignant tumors were moderate. All models passed the Hosmer-Lemeshow goodness-of-fit test ( P>0.05). The DeLong test indicated no statistically significant differences in predictive ability between PSS and Phoenix-8 across subgroups of pediatric patients ( P>0.05). Conclusions:PSS and Phoenix-8 exhibited higher specificity than most of the commonly used pediatric sepsis scores in predicting mortality risk under traditional standards. Both scores performed much better in predicting the mortality risk in pediatric patients with severe sepsis combined with CNS diseases, multiple infections, and cardiovascular system diseases.
10.Risk factors for venous thromboembolism after pancreatic surgery
Ze YU ; Yan LUO ; Hua CHEN ; Gang WANG ; Rui KONG ; Hongtao TAN ; Yongwei WANG ; Bei SUN
Chinese Journal of General Surgery 2025;40(3):195-200
Objective:To discuss the risk factors for postoperative venous thromboembolism (VTE) in patients undergoing pancreatic surgery.Methods:The clinical data of 488 patients who underwent pancreatectomy at the First Affiliated Hospital of Harbin Medical University from Jan 2016 to Sep 2024 was retrospectively analyzed.Results:One hundred and sixteen patients (23.8%) developed VTE after pancreatic surgery. Logistic analysis showed that advanced age, abdominal surgery history, high preoperative white blood cell count, high platelet lymphocyte ratio (PLR), distal pancreatectomy with splenectomy, open surgery, conversion to open surgery, and long surgery duration were risk factors.Nomogram prediction model based on the above risk factors was constructed and the area under the ROC curve was subsequently measured to be 0.781 (95% CI: 0.731-0.830). Conclusion:The prevention and control of VTE should be strengthened for patients undergoing pancreatic surgery with advanced age, abdominal surgery history, high preoperative white blood cell count, high PLR, distal pancreatectomy with splenectomy, open surgery, conversion to open surgery, and long surgery duration.

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