[摘 要] 目的：探究纺锤体蛋白1（SPIN1）促进胃腺癌细胞迁移与侵袭的分子机制。方法: 通过TCGA数据库数据分析胃腺癌组织中SPIN1 mRNA表达与上皮间质转化（EMT）评分、血管生成评分间的相关性。收集2018年8月至2021年11月期间山东第一医科大学附属省立医院手术切除的52例胃腺癌患者的癌组织制成组织芯片，每例均包含胃腺癌组织、对应癌旁组织及淋巴结转移灶，通过免疫组织化学法检测胃腺癌组织中SPIN1与STAT3的蛋白表达水平及相关性。通过Transwell实验研究干扰SPIN1对胃腺癌细胞侵袭与迁移的影响。使用GEPIA2网站分析SPIN1基因与Janus-激酶/信号转导和转录激活因子（JAK/STAT）通路相关因子在胃腺癌中的表达相关性。通过qPCR法、WB法检测干扰SPIN1后JAK/STAT通路相关mRNA和蛋白的表达变化。结果: TCGA数据库数据分析结果显示，SPIN1表达与EMT评分和血管生成评分呈正相关（均P < 0.05）。SPIN1与STAT3在胃腺癌组织和淋巴结转移灶中表达升高（均P < 0.05），在癌旁胃黏膜组织中阴性表达。SPIN1与STAT3的表达显著正相关（P < 0.05）。干扰SPIN1后胃腺癌细胞的迁移、侵袭能力明显降低（P < 0.05或P < 0.01）。GEPIA2网站分析结果显示，SPIN1基因与JAK1、JAK2、STAT1、STAT2及STAT3表达均呈显著正相关（均P < 0.05）。干扰SPIN1后JAK2、STAT3的mRNA水平下降，而JAK1、STAT1、STAT2的mRNA水平变化不明显。WB法实验结果表明，干扰SPIN1后JAK2、STAT3、p-JAK2及p-STAT3的蛋白表达均显著降低（均P < 0.01），过表达SPIN1后JAK2、STAT3、p-JAK2及p-STAT3的蛋白表达均显著升高（均P < 0.01）。结论: SPIN1可通过参与JAK2/STAT3信号通路促进胃腺癌细胞迁移与侵袭。

OBJECTIVE To study the clinical characteristics and potential risk factors for infection in patients with multiple myeloma （MM） following treatment with bortezomib. METHODS Clinical data were retrospectively collected from MM patients who received bortezomib-based treatment regimens at the Department of Hematology， the Second Affiliated Hospital of Soochow University， from October 2021 to February 2025. The collected data primarily included demographic characteristics， disease characteristics of MM， treatment regimens， occurrence of infections and corresponding management measures， and prophylactic medication use. Univariate and multivariate Logistic regression analyses were conducted to identify potential risk factors for MM complicated with infection. RESULTS Among the 284 MM patients treated with bortezomib， 132 patients （46.5%） experienced at least one infection. The predominant types of infections were respiratory tract infections and gastrointestinal infections. Univariate analysis showed that age at initial diagnosis， pathological classification， and grade of myelosuppression were influencing factors for infection in MM patients （ P ＜0.05）. Further analysis of influencing factors for the two main types of infections revealed that sex， age at initial diagnosis， pathological classification， treatment regimen， and smoking history were influencing factor s for respiratory tract infections in MM patients （ P ＜0.05）； BMI， pathological classification， treatment regimen， and grade of myelosuppression were influencing factors for gastrointestinal infections in MM patients （ P ＜0.05）. Multivariate Logistic regression analysis indicated that age≥70 years and the presence of grade Ⅳ myelosuppression before treatment were risk factors for infection in MM patients， while the IgG-λ type was a protective factor against infection （ P ＜0.05）. CONCLUSIONS The incidence of infection is relatively high in MM patients receiving bortezomib-based treatment regimens， with respiratory and gastrointestinal infections being the most common. Age at initial diagnosis， grade of myelosuppression， and pathological classification are influencing factors for infection in MM patients.

Objective To explore the research hotspots and developmental trends in urological education through a bibliometric analysis. Methods Relevant literature on urological education was retrieved from the Web of Science Core Collection and the China National Knowledge Infrastructure (CNKI) databases, covering all records up to Sep.16, 2025.A comprehensive bibliometric analysis was performed on the retrieved publications. Results A total of 303 Chinese and 290 English articles were collected.The annual number of publications demonstrated an overall upward trend.Harvard University in the United States was the most productive institution in this field. Conclusion Urological clinical education has attracted increasing attention from clinicians and medical trainees.Highly cited studies consistently highlight three actionable priorities for urological education:firstly, improving long-term knowledge retention through structured, spaced, and feedback-rich learning designs; secondly, standardizing simulation-based skills training with validated assessment and staged credentialing; thirdly, strengthening training system resilience while expanding non-technical skills training.These directions provide implementable pathways for optimizing urological teaching practices and the standardized residency training programs.

OBJECTIVE To develop a pharmacist-led intervention model for reducing drug-related medical insurance claim denial risks， so as to provide practical references for healthcare institutions in fulfilling their primary responsibility for medical insurance fund supervision. METHODS A risk matrix method was employed by the pharmacists to assess the risks associated with drug‑related medical insurance claim rejections in our hospital during 2024. Intervention measures were developed targeting high‑risk factors (including inappropriate indications for medical insurance coverage, exceeding the covered treatment course, and inappropriateness of gender and age) from three dimensions, namely organizational structure, technical prevention and control, and closed‑loop management. Changes in drug‑related claim rejection data were compared between 2024 (pre‑intervention) and 2025 (post‑intervention), and the interception effect of the pre‑prescription review system was evaluated after the intervention. RESULTS After the intervention, the total amount of drug‑related medical insurance claim rejections in our hospital was reduced by 57.24% compared with that before the intervention, and the number of rejected items decreased from 10 108 to 2 892. Specifically, the number of rejected items due to inappropriate indications, exceeded treatment course, inappropriate gender, and inappropriate age was reduced by 70.94%, 74.26%, 83.86%, and 96.70%, respectively. Throughout the year following the intervention, a total of 5.605 yuan million in outpatient prescription drug amounts and 4.683 million yuan in inpatient medication order amounts that did not meet the insurance‑limited payment requirements were intercepted by the pre‑prescription review system. The proportion of drug‑related claim rejection amount to the total medical service claim rejection amount of our hospital decreased to 19.7%. CONCLUSIONS The pharmacist-led multi-department collaborative， technical prevention and control， and dynamic optimization integrated full-process intervention model is highly operable and has significant practical effects. It has important promotion value in reducing drug-related medical insurance claim denial risks.

OBJECTIVE To compare the predictive accuracy and clinical applicability of four vancomycin individualized dosing tools （SmartDose， ClinCalc， Gulou， Pharmado） and provide a basis for rational clinical medication use. METHODS A retrospective cohort study was conducted， enrolling 479 adult patients who received vancomycin therapy and underwent steady-state trough concentration monitoring in Zhongshan Hospital， Fudan University （Xiamen Branch） from January 1， 2022， to June 30， 2024. The predictive accuracy of each tool was evaluated using indicators， such as mean error （ME）, mean absolute error （MAE）， mean percentage error （MPE）， mean absolute percentage error （MAPE）， the proportion of patients with an absolute percentage error （APE） of less than 30%， the 95% limits of agreement， and the overall relative percentage difference between predicted and measured values. Using indicators such as accessibility， patient management， and recommendation of multiple treatment options， the clinical panxso@163.com applicability of the tools for all patients was evaluated； using the discrepancy in accuracy between the predicted and actual measured blood drug concentrations as an indicator， the clinical applicability was assessed for patients in different renal function subgroups （hyperfunction， normal， mild impairment， moderate impairment， and severe impairment）. RESULTS In terms of accuracy， SmartDose demonstrated the best overall performance with an MAPE of 46.40% and a proportion of APE ＜30% （46.56%）. Bland-Altman analysis indicated that SmartDose had the smallest overall relative percentage difference （－7.25%）， although the 95% limits of agreement were broad for all tools， with differences between the upper and lower limits exceeding 200%. In terms of applicability， all four dosing tools were freely accessible and demonstrated good availability； SmartDose and Pharmado provided the most comprehensive solutions， offering features such as patient management， multiple regimen recommendations， and drug concentration-time curve plotting. Stratified analysis based on renal function revealed that Pharmado showed optimal prediction for hyperfiltration patients （mean difference： 0.11 mg/L）. SmartDose and ClinCalc showed relatively better performance in normal and mild renal impaiment （mean difference： 0.37， 0.51 mg/L and －1.13， －1.33 mg/L，respectively）. SmartDose performed best in moderate renal impairment （mean difference： －2.60 mg/L）. Pharmado and Gulou had smaller prediction biases in severe renal impairment （mean differences： 1.52 mg/L and －0.23 mg/L， respectively）. CONCLUSIONS The four individualized dosing tools demonstrated limited accuracy in the initial prediction of vancomycin concentrations. Among them， SmartDose demonstrates the highest overall prediction accuracy and possesses comprehensive clinical management features. It is recommended that Pharmado be preferred for patients with renal hyperfiltration； SmartDose or ClinCalc can be used for patients with normal or mildly impaired renal function； SmartDose is recommended for patients with moderately impaired renal function； Pharmado or Gulou may be considered for patients with severely impaired renal function.

Objective:To investigate the correlation between lymphocyte-monocyte ratio (LMR) and long-term prognosis after distal cholangiocarcinoma.Methods:A retrospective case-control study was conducted to analyze the clinical data of 186 patients with distal cholangiocarcinoma who underwent radical pancreaticoduodenectomy at Beijing Chaoyang Hospital Affiliated to Capital Medical University from January 2013 to December 2023. Among them, there were 109 males and 77 females, with an age of (65.4±9.4) years, ranging from 29 to 85 years. The data of preoperative peripheral blood routine examination of the patients were collected, and the patients were divided into a high LMR group(LMR>2.98, n=100) and a low LMR group(LMR≤2.98, n=86). The preoperative, intraoperative and postoperative clinical characteristics of the two groups were compared. Measurement data with normal distribution were expressed as mean±standard deviation ( ± s), and t-test was used for inter-group comparison. Measurement data with non-normal distribution were expressed as M( Q1, Q3), and Mann-Whitney U test was used for inter-group comparison. Chi-square test was used for inter-group comparison of count data. The Cox proportional hazards regression model was used for univariate and multivariate prognostic analysis, and the Kaplan-Meier estimation method was used to create survival curves to analyze and evaluate the influencing factors of long-term prognosis after distal cholangiocarcinoma surgery. Results:Univariate analysis results showed that gender, age, BMI, history of diabetes, carcinoembryonic antigen; operation duration, intraoperative blood loss; resection margin status, degree of tumor cell differentiation, and presence of postoperative complications had no statistically significant differences in their impact on the prognosis of patients after distal cholangiocarcinoma surgery( P>0.05). In contrast, LMR, neutrophilto-lymphocyte ratio, platelet-lymphocyte ratio, albumin, total bilirubin, carbohydrate antigen 199, intraoperative blood transfusion, tumor diameter, and lymph node metastasis showed statistically significant differences in their influence on the postoperative prognosis of distal cholangiocarcinoma patients( P<0.05). Multivariate analysis results indicated that LMR≤2.98( HR=1.776, 95% CI: 1.153-2.736), CA19-9>37 U/mL( HR=1.521, 95% CI: 1.025-2.259), and lymph node metastasis( HR=1.601, 95% CI: 1.106-2.318) were independent risk factors affecting patient prognosis( P<0.05). The 1-, 3-, and 5-year cumulative survival rates in the high LMR group were 91%, 40%, and 20% respectively, while those in the low LMR group were 58.1%, 15.1%, and 8.1% respectively, with a statistically significant difference( P<0.05). Conclusion:Preoperative LMR for distal cholangiocarcinoma can suggest a long-term prognosis, and a low LMR value suggests a poor prognosis.

The term yin excess originated in the Huang Di Nei Jing, which refers to the phenomenon of "heavy yin" when wind pathogens invades the human body and defensive qi enters the yin part of the human body. Later doctors have played a role in yin excess. Theoretically, yin and yang are out of balance in the human body, and yin is too much and yang is not enough, which is the process of physiological transformation to pathology; from the diagnosis point of view, patients with yin deficiency have less pulse and more blood; from the clinical manifestations, patients with yin excess appear cold from the back, hands and feet cold reverse; from the point of view of treatment, bitter cold products can cause yin excess. Modern research specifies yin as phlegm, dampness, stasis and other pathological products, and emphasize the relation between yin excess and yang deficiency. Yin excess includes pathological factors such as phlegm stasis cold, external cold straight in the liver wood, set in the hypochasm, resulting in mass; or overthinking and cold drink injury spleen, phlegm turbidiousness, long and hard phlegm forming lumps, thus resulting yin excess; or it may deplete the yang energy of the heart, leading to neglect of the warming function and stagnation of blood stasis; or if the kidney yang is deficient and the body lacks warmth, and there is no true yang in the ridge, then the wood will sink and congest blood stasis; the above etiology and pathogenesis lead to the occupation of yin pathogens, resulting in liver cancer. The treatment methods include liver cold turbidizing, warming liver and dispelling cold, with Wuzhuyu Decoction; spleen-deficiency phlegm production, the treatment should be warm the middle and resolving the phlegm, with Linggui Zhugan Decoction and Zhenwu Decoction; Yang deficiency and stasis, the treatment should warm kidney to remove blood stasis, with Poyu Decoction.

Objective:To investigate the prospective associations between plasma metabolites and the risks of all-cause and cause-specific mortality among Chinese adults.Methods:This study analyzed plasma metabolomics data from 2 183 healthy adults in the China Kadoorie Biobank (CKB), measured using targeted mass spectrometry. Cox proportional hazards regression models were used to examine the associations between 630 metabolites and the risk of all-cause mortality. Cause-specific hazard regression models evaluated the associations between metabolites and cardiovascular disease (CVD) risks, cancer, and other-cause mortality. Stepwise regression was used to identify key metabolites independently associated with all-cause mortality, and the area under the receiver operating characteristic curve (AUC) was calculated to assess the improvement in predictive performance when these metabolites were added to traditional risk prediction models.Results:The mean age of the participants was (53.2±9.8) years, 65.1% of whom were female. During a median follow-up of 14.5 years, 231 deaths occurred. A total of 44 metabolites were significantly associated with the risk of all-cause mortality [false discovery rate (FDR)-adjusted P<0.05], primarily including triglycerides, ceramides, and amino acids. Additionally, 29 and 15 metabolites were found to be associated with cancer and other-cause mortality, respectively, but no metabolites were significantly associated with CVD mortality after FDR corrections. Adding 14 metabolites independently associated with all-cause mortality into the traditional prediction model significantly improved its predictive performance. Specifically, incorporating metabolites into the traditional model, which already included laboratory biomarkers, increased the AUC to 0.798 (95% CI: 0.755-0.843), an improvement of 0.088 compared to the traditional model ( P<0.001). Conclusions:Multiple metabolites are significantly associated with mortality risk and can substantially improve the accuracy of mortality risk prediction models. These findings provide new insights into the physiological mechanisms of aging and offer valuable clues for personalized health risk assessment.

Objective:To predict the occurrence of chronic radiation enteritis (CRE) in cervical cancer patients by developing a prediction model based on the combination of radiomic features derived from magnetic resonance imaging (MRI) scans and clinical parameters, in order to provide a reference for clinicians to determine the prognosis of these patients and offer them individualized diagnosis and treatment.Methods:A retrospective analysis was conducted on 111 cervical cancer patients who received radical radiotherapy at the First Affiliated Hospital of Anhui Medical University. Radiological features were extracted from the T1-weighted MRI images of local lesions of cervical cancer obtained before the radiotherapy. Features were selected using the least absolute shrinkage and selection operator (LASSO) to obtain the radiomics score. The radiomics scores and clinical parameters were assessed using univariate and multivariate logistic regression analyses, followed by the establishment of nomograms. The ability of radiomics to achieve CRE prediction was assessed using the area under the curve (AUC) and the calibration and decision curves.Results:Multivariate logistic regression analysis result revealed that the independent risk factors for identifying CRE in patients included radiomics score ( HR: 17.457, 95% CI: 5.540-55.009, P<0.001), tumor volume ( HR: 3.617, 95% CI: 1.293-10.115, P=0.014), and pelvic lymph node metastasis ( HR: 3.559, 95% CI: 1.013-12.501, P=0.048). The model combining radiomics and clinical data demonstrated high performance, with its AUCs of the training and validation groups (0.888 and 0.870, respectively) higher than those of the radiomics model (0.842 and 0.804, respectively) and the clinical data model (0.721 and 0.704, respectively). The analyses of calibration and decision curves confirmed the application value of clinical radiomic nomograms. Conclusions:The model combining radiomics and clinical data allows for accurate CRE prediction. Therefore, radiomic features have the potential to serve as a promising imaging biomarker for CRE.

Objective To establish an inductively coupled plasma-mass spectrometry(ICP-MS)method for the analysis of 29 mineral elements in Artemisiae Argyi Folium(AAF),and to develop a model for judging the origin of AAF based on the elemental fingerprint combined with chemometrics.Methods The variance method was used to compare the contents of 29 mineral elements in AAF samples from Qichun of Hubei province,Hebei province and Henan province,respectively.The discriminant models of AAF from different habitats were established by discriminant analysis,PLS-DA and PCA-Logistic regression algorithms.Results The differences of the 22 elements(V,Cr,Ni,As,Se,Rb,Mo,Cd,Sb,Ba,Hg,Pb,K,Li,B,Mg,Al,P,Ca,Fe,Zn,and Ga)in samples from Qichun of Hubei province,Hebei province and Henan province are extremely significant(P＜0.01).The discriminant analysis model showed that eight kinds of element variables(P,Cr,K,Li,Hg,Ba,Mg,and Mo),which have a significant effect on the origin discrimination are gradually introduced into the discriminant model,and the correct rate of back test is 100％.The correct rate of"leave one method"cross-validation is 96.7％.The PLS-DA model showed good prediction ability,and the variable importance projection values of K,P and Mg elements were greater than one,which could be used as the difference marker of AAF from different habitats.The accuracy of the origin discrimination model constructed by PC A-Logistic regression analysis was 100％.The elements with high first principal component loadings were Li,B,Mg,Al,P,K,Ca,V,Cr,Fe,Ni,Zn,As,Rb,Cd,Sb,and Ba.Conclusion This study shows that elemental fingerprint technology combined with chemometric analysis can identify AAF from Qichun of Hubei province,Hebei province,or Henan,providing technical support for the traceability of the origin of Artemisia argyi.