Objective:To investigate the correlation between peri-coronary fat attenuation index (FAI) and plaque formation in patients with myocardial bridge (MB) of the left anterior descending artery (LAD) using coronary computed tomography angiography (CCTA) and to develop an optimal predictive model to explore the potential application of FAI in the primary prevention of MB related atherosclerosis.Methods:In this retrospective study, prediction models associated with perivascular fat inflammation were developed and validated using both logistic regression and machine learning (ML) algorithm. A training dataset was collected from 253 patients who underwent ≥2 coronary computed tomography angiography (CCTA) with ≥3 months intervals from one tertiary hospital from January 2007 to April 2021 and had baseline CCTA showing no plaques in LAD MB. The median follow-up time was 3.2 years. According to the same criteria, a total of 75 LAD MB patients from four other hospitals were included to form an independent external validation dataset, with a median follow-up time of 1.8 years. Receiver operating characteristic (ROC) curve analysis with integrated discrimination improvement (IDI) and category net reclassification index (NRI) were used to compare the performance of the predictive models.Results:62 patients (24.5%) in the training dataset had proximal plaque formation in LAD MB, while 22 patients (29.3%) in the external validation dataset had plaque formation during the follow-up period. Baseline FAI within the longitudinal distance equal to 30 mm proximal to the MB entrance was an independent predictor ( OR=1.068, P=0.046). According to the model results, ROC curves were plotted. The AUC of Model 1 was 0.822, and the AUCs of Model 2 and 1 were 0.821 and 0.591 in the training dataset. After the DeLong test, the AUC of Model 1 was superior to that of Model 2 ( Z=2.839, P=0.005) and Model 1 ( Z=6.124, P<0.001). These findings were further validated in the external validation dataset, where ML-model 3 yielded the best predictive performance, outperforming the logistic regression-based Model 2 (categorical NRI=0.359, P=0.048; IDI=0.108, P=0.046). Conclusion:FAI measured within the 30 mm proximal to the entrance of MBs due to its prone to plaque development is an independent predictor for atherosclerotic plaque formation. The ML-prediction model based on a decision tree algorithm combines FAI, MB anatomical features, and patient risk factors, which is beneficial for patients undergoing routine CCTA examination to identify inflamed coronary arteries in advance and guide the clinical adoption of more targeted preventive treatment, including anti-inflammatory treatment.

Aim To explore the compatibility and po-tential mechanism of effective components of Biejia-Ezhu against triple negative breast cancer(TNBC)and verify it by experiments.Methods Effective compo-nents and targets of Biejia-Ezhu were obtained by TC-MSP and Swiss Target Prediction.Disease targets of TNBC were obtained from OMMI and GeneCards data-bases.The PPI network was constructed using STRING database.GO and KEGG path enrichment analysis was performed using DAVID database.Cytoscape3.9.1 software was used to construct the"drug-component-target-disease"network,screen key targets and compo-nents for molecular docking,and further verify the com-patibility of key components and targets in vitro.Re-sults ① A total of 71 effective components were iden-tified in the Biejia-Ezhu drug pair.There were 146 drug targets associated with the disease.A total of 113 signaling pathways were identified by KEGG analysis.The 71 potential active components of Biejia-Ezhu mainly acted on key targets such as mTORC1,ULK1,TNF,EGFR,ESR1,STAT3,HIF1A,and PTGS2.Mo-lecular docking results showed that glycine and curcu-min were the key active components of Biejia-Ezhu,and both had strong docking activity against key target proteins mTORC1 and ULK1.②The results of in vitro experiment showed that glycine combined with curcu-min significantly inhibited the proliferation and clonal formation ability of TNBC cells(P＜0.05),up-regula-ted the expression of autophagy marker LC3 Ⅱ/Ⅰ,down-regulated the expression of EGFR,down-regula-ted the expression of pathway protein mTORC1,p-mTOR,p-ULK1,and promoted the expression of path-way protein ULK1(P＜0.05).Conclusion The key component of Biejia-Ezhu against triple-negative breast cancer is glycine-curcumin,the mechanism of which may be related to the regulation of the mTORC1/ULK1 signaling pathway to promote autophagy.

AIM To investigate the clinical effects of Cinobufosin Injection combined with RALOX-HAIC regimen on patients with hepatocellular carcinoma.METHODS Ninety-two patients were randomly assigned into control group(46 cases)for intervention of RALOX-HAIC regimen,and observation group(46 cases)for intervention of both Cinobufosin Injection and RALOX-HAIC regimen.The changes in short-term effects,survival situation,inflammatory indices(LCN2,NLRP3 inflammasome,NLR,PLR),immune indices(NK cells,CD8+T cells,IL-17,Th17/Treg)and incidence of toxic and side effects were detected.RESULTS Based on mRECIST,the observation group demonstrated higher disease control rate and objective remission rate than the control group(P＜0.05),along with lower disease progression(P＜0.05).After the treatment,the two groups displayed decreased inflammatory indices,IL-17,Th17/Treg(P＜0.05),and increased NK cells,CD8+T cells(P＜0.05),especially for the observation group(P＜0.05).The observation group exhibited lower incidence of abdominal pain,nausea,vomiting,diarrhea,leukopenia and thrombocytopenia than the control group(P＜0.05),and no significant differences in overall survival and incidence of other toxic and side effects were found between the two groups(P＞0.05).CONCLUSION For the patients with hepatocellular carcinoma,Cinobufosin Injection combined with RALOX-HAIC regimen can safely and effectively enhance body immune functions,and reduce in vivo immune indices.

Aim To explore the compatibility and po-tential mechanism of effective components of Biejia-Ezhu against triple negative breast cancer(TNBC)and verify it by experiments.Methods Effective compo-nents and targets of Biejia-Ezhu were obtained by TC-MSP and Swiss Target Prediction.Disease targets of TNBC were obtained from OMMI and GeneCards data-bases.The PPI network was constructed using STRING database.GO and KEGG path enrichment analysis was performed using DAVID database.Cytoscape3.9.1 software was used to construct the"drug-component-target-disease"network,screen key targets and compo-nents for molecular docking,and further verify the com-patibility of key components and targets in vitro.Re-sults ① A total of 71 effective components were iden-tified in the Biejia-Ezhu drug pair.There were 146 drug targets associated with the disease.A total of 113 signaling pathways were identified by KEGG analysis.The 71 potential active components of Biejia-Ezhu mainly acted on key targets such as mTORC1,ULK1,TNF,EGFR,ESR1,STAT3,HIF1A,and PTGS2.Mo-lecular docking results showed that glycine and curcu-min were the key active components of Biejia-Ezhu,and both had strong docking activity against key target proteins mTORC1 and ULK1.②The results of in vitro experiment showed that glycine combined with curcu-min significantly inhibited the proliferation and clonal formation ability of TNBC cells(P＜0.05),up-regula-ted the expression of autophagy marker LC3 Ⅱ/Ⅰ,down-regulated the expression of EGFR,down-regula-ted the expression of pathway protein mTORC1,p-mTOR,p-ULK1,and promoted the expression of path-way protein ULK1(P＜0.05).Conclusion The key component of Biejia-Ezhu against triple-negative breast cancer is glycine-curcumin,the mechanism of which may be related to the regulation of the mTORC1/ULK1 signaling pathway to promote autophagy.

OBJECTIVE To explore the protective effect of Jianpi Shengqing Jiangzhuo Recipe on db/db mice with diabetic kid-ney disease(DKD)and its possible mechanism.METHODS Thirty-two 8-week-old male db/db mice were randomly divided into four groups(n=8),including the model group,the Western medicine group[Dapagliflozin(1.0 mg·kg-1·d-1)],low-dose Jianpi Shengqing Jiangzhuo group(19.63 g·kg-1·d-1),and high-dose Jianpi Shengqing Jiangzhuo group(58.89 g·kg-1·d-1).Addi-tionally,8 db/m mice were used as the normal group.The mice were orally administered once a day for 10 consecutive weeks.The general survival status of the mice was observed,and the body weight,fasting blood glucose(FBG),and urine volume of the mice were dynamically monitored;urine creatinine and urine microalbumin were detected,and urine microalbumin excretion(UAE)and protein-creatinine ratio(ACR)were calculated.After the last intervention,mice were fasted for 12 h,blood was collected under anesthesia,and kidney tissue was separated;blood creatinine(Scr),serum urea nitrogen(BUN),triglycerides(TG),total cholesterol(TC),low-density lipoprotein(LDL-C),and high-density lipoprotein(HDL-C)were tested;HE and Masson staining were used to observe pathological changes in renal tissue;Oil Red O staining was used to observe the deposition of lipid droplets in the kidneys,and Image J was used for quantitative analysis;ELISA was used to detect the levels of TNF-α and IL-1β in renal tissue;Western blot was used to detect the expression of SIRT1,SREBP-1,and PPAR-α proteins in renal tissue.RESULTS Compared with the normal group mice,the body weight,FBG,Scr,TG,TC,HDL-C,LDL-C,urine volume,UAE,and ACR of the model group mice were signifi-cantly increased(P<0.05,P<0.01);the glomerular volume was significantly increased,renal fibrosis was altered,and renal lipid droplet deposition increased(P<0.01);renal TNF-α,IL-1β,SREBP-1 expression increased(P<0.01),and SIRT1 and PPAR-α expression decreased(P<0.01).Compared with the model group,the FBG levels in the Western medicine group was significantly de-creased at the 5th and 10th weeks of intervention(P<0.05,P<0.01);after the intervention,the Scr,UAE and ACR in the Western medicine group and high-dose Jianpi Shengqing Jiangzhuo group were significantly decreased(P<0.05,P<0.01),and the serum TG level in the high-dose Jianpi Shengqing Jiangzhuo group was also significantly decreased(P<0.01);the Western medicine group and the high-dose group of Jianpi Shengqing Jiangzhuo group improved renal pathological changes and lipid deposition(P<0.05,P<0.01),with decreased levels of TNF-α and IL-1β and increased expression of SIRT1 and PPAR-α proteins(P<0.05,P<0.01);high-dose group of Jianpi Shengqing Jiangzhuo decreased the expression of SREBP-1(P<0.01).CONCLUSION Jianpi Shengqing Jiangzhuo Recipe can improve proteinuria,kidney injury,renal lipid deposition as well as inflammatory reaction in DKD,which may be related to the activation of the SIRT1/SREBP-1/PPAR-α pathway to regulate lipid homeostasis.

Objective:To investigate the sex difference and symptom correlation of pituitary-thyroid axis and pituitary-adrenal axis function in patients with remitted schizophrenia.Methods:Using cross-sectional study method,243 patients with remitted schizophrenia at Changning District Mental Health Center of Shanghai from January 2019 to September 2021(schizophrenia group)were selected,and healthy individuals who underwent physical examinations during the same period(healthy control group)were also selected.The demographic data and HPT axis,HPA axis neuroendocrine indicators[serum thyroid stimulating hormone(TSH),free triiodothyronine(FT3),free thyroid hormone(FT4),triiodothyronine(TT3),thyroid hormone(TT4),adrenocorticotropic hormone(ACTH),and cortisol(COR)]between healthy control group and schizophrenia group were compared.Gender differences in HPT axis and HPA axis in schizophrenia patients were compared.The correlation between neuroendocrine indicators and gender,disease duration,positive and negative symptom scale(PANSS)scores in patients with schizophrenia were analyzed by linear regression method.Using stratified multiple linear regression,laboratory measured variables and age were included as predictive factors in the model to construct a regression prediction model for hormone levels between schizophrenia and healthy control group,as well as subgroups of schizophrenia gender.Generate receiver operating characteristic(ROC)curves based on the probability values of predictive factors,and determine the predictive value of the logistic regression model using the area under the curve(AUC).Results:TT3,TSH,TT4 in schizophrenia group were lower than those in the healthy control group(P＜0.05),while ACTH and COR were higher than those in the healthy control group(P＜0.05).There was a statistically significant difference in the negative symptom scores,TSH,TT3,FT3,ACTH,and COR levels between the female schizophrenia group and male schizophrenia group(P＜0.05).PANSS,total score of general psychopathology score were positively correlated with COR level,negative symptom score was negatively correlated with FT3 levels(all P＜0.05),but there was no linear relationship among the three(absolute value of r＜0.3).ROC curve results showed that,the schizophrenia hormone level model had good discrimination accuracy,with AUC=0.872(95％confidence interval 0.841-0.904),the optimal threshold(Yoden index)=0.651.ROC curve shows that the male and female subgroups of schizophrenia models also have good discrimination accuracy,with AUC=0.794(95％confidence interval 0.737-0.850)and the optimal cutoff value(Yoden index)=0.495.Conclusion:The changes of active T4 in schizophrenia patients may be one of the possible causes of the chronic pathological changes of schizophrenia.The level of high-functioning T3 hormone is significantly lower in female patients than that in male patients.The hierarchical regression model provides good identification accuracy for remitted schizophrenia and gender subgroups.

Objective:To investigate the relationship between the expression of microribonucleic acid(miR)-19a-3p and miR-23b-3p in prostate cancer tissues and clinicopathological parameters and prognosis.Methods:135 prostate cancer patients who were admitted to our hospital from January 2019 to October 2021 were selected,all patients underwent radical prostatectomy or radical prostatectomy plus lymph node dissection,surgically resected cancer tissues and adjacent tissues were taken,and the expression of miR-19a-3p and miR-23b-3p were detected.The patients were followed up for 3 years after discharge,the survival curve was drawn by Kaplan-Meier,and the factors affecting the prognosis of prostate cancer patients were analyzed by COX regression.Results:The expression of miR-19a-3p and miR-23b-3p in cancer tissues of prostate cancer patients were lower than those in adjacent tissues(P＜0.05).the expression of miR-19a-3p and miR-23b-3p in prostate cancer tissues with tumor stage pT3-4,gleason grade Gleason 3-5 and lymph node metastasis was lower than that in prostate cancer tissues with tumor stage pT1-2,Gleason 1-2 and no lymph node metastasis(P＜0.05).3 cases were lost to follow-up,20 cases died and 112 cases survived.The 3 years overall survival(OS)rate in prostate cancer patients with low expression of miR-19a-3p and low expression of miR-23b-3p was lower than that in prostate cancer patients with high expression of miR-19a-3p and high expression of miR-23b-3p(P＜0.05).Lymph node metastasis was a risk factor for poor prognosis in prostate cancer patients(P＜0.05),and high expression of miR-19a-3p and miR-23b-3p were protective factors(P＜0.05).Conclusion:The expression of miR-19a-3p and miR-23b-3p in prostate cancer tissues is down-regulated,and is associated with high tumor stage and histological grade,lymph node metastasis and low survival rate.

Objective To design an intelligent monitoring platform for adverse drug reactions(ADRs)to solve the problems of the traditional ADR monitoring mode.Methods The ADR intelligent monitoring platform was designed based on artificial intelligence and big data technologies,which was developed with Browser/Server(B/S)architecture,C#programming language and.NET development tool.There were five functional modules involved in the platform for ADR knowledge base,monitoring rule setting,intelligent monitoring,report management and statistical analysis.Results The platform realized the full-process management of ADR intelligent monitoring,reporting,review and statistical analysis,which enhanced the ADR report in quantity,quality and timeliness.Conclusion The platform contributes to improving the monitoring of ADR and patient medication safety.[Chinese Medical Equipment Journal,2025,46(9):33-38]

With the increasing demand for dynamic,real-time and rapid qualitative analysis of chemical composition in areas such as emergency response and space exploration,chip-scale mass spectrometers have attracted significant attention.These devices are expected to drive the integration of mass spectrometry with micro/nano-fabrication and intelligent sensing technologies,fostering profound innovation and breakthroughs in analytical chemistry.As an excellent mass analyzer,the ion trap exhibits numerous advantages,and its miniaturization creates favorable conditions for the high-density integration of miniature mass spectrometers.However,the reduction in ion storage capacity may compromise its sensitivity and dynamic range,rendering the study of ion unidirectional ejection in highly miniaturized ion traps of significant practical importance.In this work,a research was conducted on achieving efficient ion unidirectional ejection while maintaining high mass resolution in the extremely miniature hyperbolic linear ion trap(M-HLIT)with a field radius of 1 mm,and an electric field compensation method was proposed,which combined asymmetric electrode stretching and unbalanced RF voltage to achieve high-precision optimization of the electric field composition.Simulations showed that in an ideal structure,this method achieved 100％unidirectional ejection efficiency with the mass resolution of 518,significantly outperforming traditional asymmetric structure method(365)and unbalanced voltage method(321).Following the introduction of ion ejection slots,further optimization through bidirectional stretching and electrical parameters improved the resolution to 790 while maintaining a unidirectional ejection efficiency of 93％.This method eliminated the requirement for additional excitation voltage,offering an ideal solution for the miniature mass analyzer with high detection performance of chip-level mass spectrometers.

The 2024 National Education Work Conference pointed out that at the current juncture of the critical period for achieving the goals and tasks of the 14th Five-Year Plan,the implementation of the Education Powerhouse Construction Plan Outline should be taken as the main line of work,and building first-class disciplines is an crucial task for a higher education powerhouse.In 2022,forensic medicine was officially listed as a first-level discipline under the medical category,presenting an un-precedented historical opportunity for the development of forensic medicine.The forensic medicine dis-cipline of Southern Medical University comprehensively improves the quality of talent cultivation and facilitates the construction of first-class disciplines as its main direction.It aims to initiate and imple-ment a high-level faculty team building plan featuring"combining recruitment and cultivation,inter-disciplinary integration";make vigorous efforts to establish a first-level doctoral program,refine advan-tageous second-level disciplines and research directions;and establish an innovative research platform from a high starting point with deep integration.The discipline adheres to moral cultivation and the Five Domains of Education simultaneous development,to build a high-quality talent joint training model.Guided by the construction of the national legal system and industry needs,the discipline will enhance social service capabilities.The forensic medicine construction in our university will continue to contribute to the rule of law in China and educational power.