BACKGROUND:Degenerative scoliosis is defined as a condition that occurs in adulthood with a coronal cobb angle of the spine>10° accompanied by sagittal deformity and rotational subluxation,which often produces symptoms of spinal cord and nerve compression,such as lumbar pain,lower limb pain,numbness,weakness,and neurogenic claudication.The finite element method is a mechanical analysis technique for computer modelling,which can be used for spinal mechanics research by building digital models that can realistically restore the human spine model and design modifications. OBJECTIVE:To review the application of finite element method in the etiology and treatment of degenerative scoliosis. METHODS:The literature databases CNKI,PubMed,and Web of Science were searched for articles on the application of finite element method in degenerative scoliosis published before October 2023.Search terms were"finite element analysis,biomechanics,stress analysis,degenerative scoliosis,adult spinal deformity"in Chinese and English.Fifty-four papers were finally included. RESULTS AND CONCLUSION:(1)The biomechanical findings from the degenerative scoliosis model constructed using the finite element method were identical to those from the in vivo experimental studies,which proves that the finite element method has a high practical value in degenerative scoliosis.(2)The study of the etiology and treatment of degenerative scoliosis by the finite element method is conducive to the prevention of the occurrence of the scoliosis,slowing down the progress of the scoliosis,the development of a more appropriate treatment plan,the reduction of complications,and the promotion of the patients'surgical operation.(3)The finite element method has gradually evolved from a single bony structure to the inclusion of soft tissues such as muscle ligaments,and the small sample content is increasingly unable to meet the research needs.(4)The finite element method has much room for exploration in degenerative scoliosis.

Homo- or heterodimeric compounds that affect dimeric protein function through interaction between monomeric moieties and protein subunits can serve as valuable sources of potent and selective drug candidates. Here, we screened an in-house dimeric natural product collection, and panepocyclinol A (PecA) emerged as a selective and potent STAT3 inhibitor with profound anti-tumor efficacy. Through cross-linking C712/C718 residues in separate STAT3 monomers with two distinct Michael receptors, PecA inhibits STAT3 DNA binding affinity and transcription activity. Molecular dynamics simulation reveals the key conformation changes of STAT3 dimers upon the di-covalent binding with PecA that abolishes its DNA interactions. Furthermore, PecA exhibits high efficacy against anaplastic large T cell lymphoma in vitro and in vivo, especially those with constitutively activated STAT3 or STAT3^Y640F. In summary, our study describes a distinct and effective di-covalent modification for the dimeric compound PecA to disrupt STAT3 function.

Tooth autotransplantation is a restoration technology that grafts the patient's own teeth to the missing tooth area, usually by using the third molar to replace a nonnormally functioning molar for the purpose of "turning waste into treasure". Robotic surgical assistance has been widely used in the fields of breast cancer, liver cancer, and orthopedics; however, its application in the dental field, particularly in tooth autotransplantation, remains relatively rare. This paper reports a case of tooth autotransplantation with the assistance of a domestic autonomous oral surgery robot, providing a reference for the application of robotic surgery assistance in tooth autotransplantation.
Humans ; Molar, Third/transplantation* ; Robotic Surgical Procedures/methods* ; Transplantation, Autologous

ObjectiveTo investigate the effect of the multidisciplinary team （MDT） management model in improving the prognosis of patients with cirrhotic portal hypertension. MethodsA total of 86 patients with cirrhotic portal hypertension who were admitted to Shenzhen Third People’s Hospital from May 2022 to July 2024 were enrolled， and according to whether the MDT treatment regimen was implemented， they were divided into execution group with 51 patients and non-execution group with 35 patients. Baseline clinical data were collected， and the patients were observed in terms of gastrointestinal bleeding， hepatic encephalopathy， liver cancer， and death from admission to the end of follow-up （January 2025）. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Wilcoxon rank-sum test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups. The Kaplan-Meier method was used to plot survival curves for the cumulative incidence rates of endpoint events （gastrointestinal bleeding， hepatic encephalopathy， liver cancer， and death）， and the Log-rank test was used for comparison between groups. The Cox proportional-hazards regression model analysis was used to investigate the effect of MDT management on the prognosis of patients. ResultsThere were significant differences between the execution group and the non-execution group in diameter of the portal vein （t=1.216， P=0.017） and ascites （χ²=4.515， P=0.034） at baseline. The patients were followed up for 14.6±6.2 months， and the survival curve analysis showed that there was a significant difference in the cumulative incidence rate of gastrointestinal bleeding between the two groups （χ²=4.573， P=0.024）， while there were no significant differences in the incidence rates of other outcome events between the two groups （all P>0.05）. The Cox regression analysis showed that the execution group had a reduced risk of gastrointestinal bleeding （hazard ratio=0.262， 95% confidence interval： 0.110 — 0.630， P=0.003）. ConclusionImplementation of the MDT treatment regimen can significantly reduce the short-term risk of gastrointestinal bleeding in patients with cirrhotic portal hypertension， while its long-term benefits require further follow-up verification.

Objective To evaluate and improve missing data imputation methods to enhance the performance of binary classification prediction model.Methods By simulating data missing scenes,the effects of direct elimination,mean imputation,random forest(RF)imputation algorithm,and multiple imputation-random forest(MI-RF)on the performance of the prediction model were jointly evaluated by receiver operating characteristic area under curve(AUC)and root mean square error(RMSE).Bayesian Network was introduced for the random forest imputation algorithm to optimize the imputation method using the correlations between variables.Results Under different missing proportions,both AUC and RMSE indicated that Bayesian network optimized random forest(BN-RF)imputation algorithm was better.In addition,when the missing proportion was 10％-20％,various imputation methods had roughly the same improvement effect for the prediction model;when the proportion of missing data was 30％-40％,compared to the mean imputation,except for the BN-RF,RF was more effective and its effect was slightly better than MI-RF;however,when the proportion of missing data was close to 50％,even if the model performance was still appropriate,the imputation data gradually deviated from the true data features,resulting in a decrease in the usability of the model.Conclusion The overall effect of BN-RF is satisfactory,and it should be chosen when random missing was 30％-40％.

Recent progress in targeted metabolic therapy of cancer has been limited by the considerable toxicity associated with such drugs. To address this challenge, we developed a smart theranostic prodrug system that combines a fluorophore and an anticancer drug, specifically 6-diazo-5-oxo-l-norleucine (DON), using a thioketal linkage (TK). This system enables imaging, chemotherapy, photodynamic therapy, and on-demand drug release upon radiation exposure. The optimized prodrug, DON-TK-BM3, incorporating cyanine dyes as the fluorophore, displayed potent reactive oxygen species release and efficient tumor cell killing. Unlike the parent drug DON, DON-TK-BM3 exhibited no toxicity toward normal cells. Moreover, DON-TK-BM3 demonstrated high tumor accumulation and reduced side effects, including gastrointestinal toxicity, in mice. This study provides a practical strategy for designing prodrugs of metabolic inhibitors with significant toxicity stemming from their lack of tissue selectivity.

Objective To explore the clinical effect of clinical observation of supplemented wendan decoction combined with Western medicine in treating insomnia accompanied by anxiety and depression in phlegm-heat internal disturbance syndrome.Methods A total of 120 cases of insomnia with anxiety and depression comorbiditis with phlegm heat disturbance syndrome were randomly divided into control group and treatment group,60 cases in each group.The control group was given escitalopram oxalate tablet combined with dexzopiclonone tablet,and the observation group was given added Wendan decoction on the basis of the control group.Both groups were treated continuously for 6 weeks.Polysomnography monitoring parameters and heart rate variability were compared between the two groups during baseline period and visit 2(baseline period+3 months).Scale scores of the two groups were compared during baseline period,visit 1(baseline period+6 weeks)and visit 2.The content of heart rate variability includes:time domain analysis(standard deviation of normal interval(SDNN),square root of the square sum of the mean of the difference between adjacent normal interval(RMSSD)and frequency domain analysis(LF,HF,LF/HF).The scale scores included the Pittsburgh Sleep Quality Index(PSQI)and Insomnia Severity Index(ISI)to assess sleep status,and the Hamilton Depression Scale(HAMD),Hamilton Anxiety Scale(HAMA),Self-assessment Scale for Depression(PHQ-9)and Generalized Anxiety Disorder Scale(GAD-7)to assess anxiety and depression status.Results(1)Polysomnography monitoring:the wake time of observation group was significantly shorter than that of control group,the number of awakenings was significantly less than that of control group,and the percentage of N3 and REM was significantly higher than these of control group(P＜0.05).(2)Heart rate variability:RMSSD and HF values in the observation group were significantly higher than those in the control group,and LF/HF values were significantly lower than those in the control group(P＜0.05).(3)In terms of sleep:during the interview,PSQI total score,sleep quality,hypnotic drugs and daytime dysfunction in the observation group were significantly lower than those in the control group(P＜0.05);At the 3 months,the sleep quality,hypnotic drugs and daytime dysfunction in the observation group were significantly lower than those in the control group(P＜0.05).In terms of emotion:HAMA,HAMD and GAD-7 scores were significantly lower than those of control group at 6 weeks(P＜0.05);At the 3 months,HAMA and GAD-7 scores were significantly lower than those of control group(P＜0.05).Conclusion Supplemented Wendan decoction combined with western medicine can obviously optimize the sleep structure of insomnia patients with anxiety and depressionof phlegm-heat disturbance syndrome,improve sleep continuity and deepen sleep depth,and improve parasympathetic functional activities,contribute to sympathetic parasympathetic balance,can improve insomniaand depression symptoms recently,and significantly improve anxiety symptoms in the short term,with good safety.

Background and purpose:The standard therapy for locally advanced rectal cancer(LARC)is neoadjuvant chemoradiotherapy(nCRT)followed by surgery.NCRT can make the tumor regress and downstage,and increase the R0 resection rate.However,individual differences in rectal cancer are large,and some patients respond poorly to nCRT and cannot benefit from nCRT.Therefore,it is necessary to establish effective screening measures to identify patients with poor response to nCRT.This study aimed to analyze the influencing factors of nCRT for LARC and construct the tumor regression prediction model.Methods:Data of 158 LARC patients who underwent total mesenteric resection after receiving nCRT at the First Hospital Affiliated to Air Force Medical University from January 2016 to December 2020 were collected.Baseline clinical indicators before nCRT were collected,including laboratory examination,tumor markers and magnetic resonance imaging(MRI).According to the tumor size reported by MRI before and after nCRT,Response Evaluation Criteria in Solid Tumors(RECIST)was used to evaluate the extent of tumor regression after nCRT.After receiver operating characteristic(ROC)curve was used to standardize the clinical baseline indicators,logistic regression analysis was carried out to screen the factors affecting the tumor regression.The tumor regression prediction model was constructed by logistic regression,and the performance of the model was evaluated based on decision curve analysis(DCA)and the calibration curve.The accuracy of the model was tested by 10-fold cross-validation.Results:This retrospective cohort study enrolled 158 patients,in which,98 patients achieved complete response(CR)or partial response(PR).The objective response rate was 62%.Sixty patients had poor response to nCRT,either stable disease(SD)or progressive disease(PD).Multivariate logistic regression analysis showed that tumor diameter before treatment(P＜0.001),time to surgery after nCRT(P = 0.006),D-dimer(P = 0.010),prognostic nutrition index(PNI)(P = 0.035),carcinoembryonic antigen(CEA)(P = 0.004)and extramural vascular invasion(EMVI)(P = 0.026)were significantly related to tumor regression after nCRT.The area under ROC curve(AUC)of tumor regression after nCRT prediction model for LARC was 0.84(95%CI:0.780-0.899),sensitivity was 85.0%,and specificity was 72.4%.In the calibration curve,the predicted results were in good agreement with the actual results,and the prediction accuracy was good.The DCA showed that the tumor regression prediction model could bring clinical net benefit to diagnosis.Conclusion:Tumor diameter before treatment,time to surgery after nCRT,D-dimer,PNI,CEA and EMVI are independent risk factors for the tumor regression after nCRT in LARC patients.The tumor regression prediction model based on the above factors has good predictive efficacy for the tumor regression after nCRT in LARC patients.

Purpose To investigate the effect and molecu-lar mechanism underlying SOX9 during esophageal squamous cell carcinoma(ESCC)cells.Methods Immunohistochemistry(IHC)was used to detect the expression of SOX9 in ESCC tis-sues and adjacent normal tissues.The correlation of SOX9 ex-pression with clinicopathological features and prognosis of ESCC was analyzed.The differentially expressed genes in Eca109-Vec-tor and Eca109-SOX9 cells were detected by Affymetrix miRNA array.qRT-PCR was used to determine the differential gene in TE-1 and TE-1-siSOX9 cells.The relationship between SOX9 and active/unphosphorylated β-catenin levels was detected by Western blot.The effects of Wnt inhibitor LGK974 on the prolif-eration of ESCC cells were detected by CCK-8.Results SOX9 was highly expressed in ESCC(4.58±3.04)as compared with that in adjacent normal tissues(1.56±2.08,P＜0.001).SOX9 was related to histopathological grade and invasion depth(P＜0.05).Kaplan-Meier analysis indicated high SOX9 expres-sion in ESCC was significantly correlated with shorter overall sur-vival(P＜0.05).Transcriptome profiling and qRT-PCR analysis suggested that SOX9 contributed to the regulation of AXIN2,FZD7 and WNT5A.Overexpression of SOX9 in Eca109 cells in-creased active/unphosphorylated β-catenin levels,whereas silen-cing SOX9 caused a decrease.Significant attenuation of cell pro-liferation was observed at various concentrations of LGK974 with-out affecting SOX9 expression on SOX9-expressing cell lines.As expected,this inhibitory effect was not obvious in Eca109-Vector cells when compared with Eca109-SOX9 cells treated with the same concentration of LGK974.Conclusion SOX9 is highly ex-pressed in ESCC and SOX9-mediated Wnt/β-catenin signal path-way activation at least partially contributes to the SOX9-induced ESCC growth.These findings suggest that SOX9 is a promising prognostic marker and therapeutic target for ESCC.