Objective To construct machine learning models based on preoperative inflammatory and radiological features for the prediction of glioma grading and isocitrate dehydrogenase (IDH) mutation status, and to analyze application values of these models and identify the optimal predictive models. Methods A retrospective analysis was conducted on the data of pathologically confirmed glioma patients admitted to Tongji Hospital Affiliated to Tongji University from March 2019 to March 2023. LASSO regression was used to screen feature variables, and predictive models were constructed based on logistic regression (LR), random forest (RF), support vector machine (SVM), gradient boosting decision tree (XGBoost) and K-nearest neighbor (KNN) algorithms. The model performance was comprehensively evaluated using metrics including discrimination ability, area under the precision-recall curve (AUC), accuracy, F1 score and Brier score. The DeLong test was adopted to compare the AUC values among different models; Friedman rank-sum test was used to determine the overall performance differences of the models, with the Nemenyi test applied for multiple comparison correction. Results In the task of glioma grading prediction, the LR model achieved the highest comprehensive score (0.726), and no significant difference was observed between the LR model and the other four models; age was positively correlated with glioma grading (P=0.003). In the task of IDH mutation status prediction, the XGBoost model obtained the highest comprehensive score (0.832), which was superior to the LR (0.762, P=0.035) and KNN models (0.754, P=0.025), while no statistical differences were found between the XGBoost model and the RF or SVM models. Conclusions The LR model for glioma grading prediction and XGBoost model for IDH mutation prediction constructed based on a task-oriented strategy achieve a favorable interpretability while ensuring optimized performance, thereby providing reliable decision support for the individualized diagnosis and treatment of glioma.

Objective: The impact of prophylactic salpingectomy on the prevention of epithelial ovarian cancer (EOC) remains unclear, particularly in Asian populations where data is lacking. In this systematic review and meta-analysis study, we sought to assess whether prophylactic salpingectomy could reduce the incidence of ovarian cancer in the general population of multiple ethnicities. Methods: A systematic review and meta-analysis were conducted using PubMed/MEDLINE, EMBASE, the Cochrane Library, and Web of Science to assess the effectiveness of salpingectomy, bilateral salpingectomy (BS), and unilateral salpingectomy (US) in reducing the risk of EOC and evaluating postoperative outcomes. Results: The final analyses included 6 eligible trials (5,747,056 patients), including 1 cohort study and 5 case-control studies. The analyses of these studies demonstrated that women who underwent salpingectomy had a significantly reduced risk of EOC compared to those who did not receive salpingectomy (odds ratio [OR]=0.63; 95% confidence interval [CI]=0.45–0.89; p=0.007). Five studies (5,746,469 patients) indicated a significant reduction in EOC risk among patients who underwent BS (OR=0.48; 95% CI=0.33–0.69; p<0.001).On the other hand, in the analysis of 4 studies (5,745,887 patients) that examined US, the association with EOC risk was not significant despite the protective trend (OR=0.82; 95% CI=0.64–1.06; p=0.12). Conclusion Our results indicate BS is an effective strategy for reducing the risk of sporadic EOC, but the results did not lead to the same conclusion for patients who underwent US. When a candidate or patient is undergoing a hysterectomy or has other benign diseases, prophylactic BS may be a safe surgical procedure that carries future benefits in terms of EOC risk.

BACKGROUND:Dental pulp stem cells are one of the stem cells with great potential in oral and maxillofacial tissue engineering.Compared with mesenchymal stem cells,dental pulp stem cells have the advantages of convenient collection,less ethical problems and higher potential of proliferation and differentiation.Currently,except for biochemical factors,physical stimulation also plays a critical role in the osteogenic/odontogenic differentiation of dental pulp stem cells. OBJECTIVE:To review the relevant physical factors and the possible signaling pathway affecting the osteogenic/odontogenic differentiation of dental pulp stem cells to find the optimal induction conditions affecting their differentiation. METHODS:PubMed and CNKI databases were searched for relevant articles using"dental pulp stem cells(DPSCs),osteogenesis differentiation,odontoblastic differentiation,hypoxia,mechanical force,laser therapy,magnetic fields,microgravity"as English and Chinese search terms.Seventy-nine articles regarding physical factors affecting osteogenic/odontogenic differentiation of dental pulp stem cells were selected for the review. RESULTS AND CONCLUSION:(1)Direct or indirect physical signals in the microenvironment have shown broad application prospects in regulating the directed differentiation of stem cells.Many related physical factors,for example,hypoxia,mechanical stimulation(dynamic hydrostatic pressure,mechanical tension,shear force,etc.),laser,microgravity,and magnetic field,have positive influences on the osteogenic/odontogenic differentiation of dental pulp stem cells.Owing to the complex mechanical environment of stomatognathic system,mechanical stimulation is a key physical factor in changing cellular environment and is also a frontier in tissue engineering.It will provide new ideas for investigating the response of dental pulp stem cells to the mechanical environment in the diagnosis and treatment of oral diseases.(2)Because this field is relatively"young",the parameters of equipment have not been unified and the relevant results are not consistent.The optimal induction parameters and conditions of related physical factors should be further explored and optimized.(3)Scaffold material,one of the three elements of tissue engineering,plays a role in promoting the osteogenic/odontogenic differentiation of dental pulp stem cells,and promotes the development of materials science and clinical technology.(4)The signaling pathways involve Notch,Wnt,MAPK,etc.The biological basis of regulating the behavior of dental pulp stem cells is not clear.The specific mechanism will be further explored in the future to provide new ideas for dental pulp regeneration and bone tissue engineering under the influence of physical factors.

Sustained inflammatory responses are closely related to various severe diseases,and inhibiting the excessive activation of inflammasomes and pyroptosis has significant implications for clinical treatment.Natural products have garnered considerable concern for the treatment of inflammation.Huanglian-Wumei decoction(HLWMD)is a classic prescription used for treating inflammatory diseases,but the necessity of their combination and the exact underlying anti-inflammatory mechanism have not yet been elucidated.Inspired by the supramolecular self-assembly strategy and natural drug compatibility theory,we successfully obtained berberine(BBR)-chlorogenic acid(CGA)supramolecular(BCS),which is an herbal pair from HLWMD.Using a series of characterization methods,we confirmed the self-assembly mechanism of BCS.BBR and CGA were self-assembled and stacked into amphiphilic spherical supra-molecules in a 2:1 molar ratio,driven by electrostatic interactions,hydrophobic interactions,and π-πstacking;the hydrophilic fragments of CGA were outside,and the hydrophobic fragments of BBR were inside.This stacking pattern significantly improved the anti-inflammatory performance of BCS compared with that of single free molecules.Compared with free molecules,BCS significantly attenuated the release of multiple inflammatory mediators and lipopolysaccharide(LPS)-induced pyroptosis.Its anti-inflammatory mechanism is closely related to the inhibition of intracellular nuclear factor-kappaB(NF-κB)p65 phosphorylation and the noncanonical pyroptosis signalling pathway mediated by caspase-11.

Objective To explore the efficacy of DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy for management of cancer pain and provide reference for its standardized clinical application.Methods and Results Recommendations were formulated based on literature review and expert group discussion,and consensus was reached following expert consultation.The consensus recommendations are comprehensive,covering the entire treatment procedures from preoperative assessment and preparation,surgical operation process,postoperative management and traditional Chinese medicine treatment to individualized treatment planning.The study results showed that the treatment plans combining traditional Chinese with Western medicine effectively alleviated cancer pain,reduced the use of opioid drugs,and significantly improved the quality of life and enhanced immune function of the patients.Postoperative follow-up suggested good treatment tolerance among the patients without serious complications.Conclusion The formulated consensus is comprehensive and can provide reference for clinicians to use DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy.The combined treatment has a high clinical value with a good safety profile for management of cancer pain.

Objective:To explore the correlation between serum ferritin (SF) and risk of lean non-alcoholic fatty liver disease (NAFLD), so as to provide the basis for the prevention and treatment of lean NAFLD.Methods:A total of 7 187 people without NAFLD at baseline who took at least 2 physical examinations in the Health Management Center of the Second Hospital of Dalian Medical University from January 2014 to December 2023 and met the selection criteria were selected as the research subjects, and all the subjects had no NAFLD at baseline. Subjects were divided into four groups according to baseline SF quartiles: 1 797 cases in the first quartile ( Q1) group, 1 797 cases in the second quartile ( Q2) group, 1 797 cases in the third quartile ( Q3) group, and 1 796 cases in the fourth quartile ( Q4) group. The incidence of lean NAFLD in each group were observed. Kaplan-Meier curve was plotted to calculate the cumulative incidence of lean NAFLD which compared by log-rank test. Cox proportional hazard regression model was used to analyze the correlation between SF and new-onset lean NAFLD, Q1, Q2, Q3 and Q4 of SF were taken as continuous variables into the model for trend test.The stability of the results was verified by two item sensitivity analyses. Time-dependent receiver operating characteristic curve (ROC) was plotted to evaluate the predictive value of SF for the onset of lean NAFLD. Results:The cumulative follow-up were 25 076 person-years. There were 230 new cases of lean NAFLD, and the incidence density was 9.172/1 000 person-years. The incidence densities of lean NAFLD in Q1, Q2, Q3 and Q4 groups were 6.915/1 000 person-years, 8.552/1 000 person-years, 9.641/1 000 person-years, 12.003/1 000 person-years, respectively. Kaplan-Meier curve indicated that the incidence of lean NAFLD was increased with the increment of SF, and the difference was statistically significant (log-rank test, χ2=9.92, P=0.019). Cox proportional hazard regression model results showed that the risk of developing lean NAFLD in Q4 group increased by 72.8% ( HR=1.728, 95% confidence interval (95% CI): 1.059 to 2.820) compared with Q1 group. Trend analysis revealed that the risk of lean NAFLD increased by 18.9% for each one-quartile increase of SF( HR=1.189, 95% CI: 1.012 to 1.396). Two sensitivity analyses indicated that the risk of NAFLD in Q4 group was 1.795 times ( HR=1.795, 95% CI: 1.083 to 2.975) or 1.654 times ( HR=1.654, 95% CI: 1.022 to 2.678) higher than that in Q1 group. The area under the curve (95% CI) of SF for predicting the incidence of lean NAFLD at 2-, 3-, 7- and 8-year follow-up based on time-dependent ROC were 0.645 (0.593 to 0.698), 0.652 (0.603 to 0.700), 0.605 (0.539 to 0.672) and 0.716 (0.597 to 0.836), respectively. Conclusion:SF is an independent risk factor for lean NAFLD and has predictive value for the new-onset of lean NAFLD.

Objective: To evaluate the effect of exercise prescription intervention among patients with type 2 diabetes mellitus (T2DM), so as to provide the evidence for guiding appropriate physical activity and glycemic control in this population. Methods: In July 2023, T2DM patients managed by two community health service centers in Qingjiangpu District, Huai'an City, Jiangsu Province, were selected as the study participants and randomly assigned divided into a control group and an intervention group. The control group received routine chronic disease management under the basic public health services, while the intervention group, in addition to receiving the same routine chronic disease management, was provided with exercise prescription to guide their physical activity at baseline (T0), after 3 months of intervention (T1), and after 6 months of intervention (T2). Data on weight-related indicators, glycated hemoglobin (HbA1c), and blood lipid were collected through physical examinations and laboratory tests at T0 and after 12 months of intervention (T3). The differences in indicators between the two groups before and after the intervention were analyzed using generalized estimating equations. Results: The intervention group consisted of 197 patients, including 99 males, accounting for 50.25%. The median disease duration was 7.10 (interquartile range, 7.80) years, and 113 patients had suboptimal HbA1c levels, accounting for 57.36%. The control group included 196 patients, including 99 females, accounting for 50.51%. The median disease duration was 6.10 (interquartile range, 7.00) years, and 100 patients had suboptimal HbA1c levels, accounting for 51.02%. Before the intervention, no statistically significant differences were observed between the two groups in gender, educational level, disease duration, pharmacological treatment, smoking, alcohol consumption, and HbA1c levels (all P>0.05). In the intervention group, the proportion of participants engaging in aerobic exercise and strength training increased from 78.17% and 8.12% at T0 to 85.79% and 16.24% at T3, respectively (both P<0.05). The results of the generalized estimating equations revealed significant interactions between group and time for waist-to-hip ratio, total cholesterol (TC), and low-density lipoprotein cholesterol (LDL-C) following the intervention (all P<0.05). A statistically significant difference in waist-to-hip ratio was found between the two groups (P<0.05), with a greater reduction observed in the intervention group compared to the control group. Significant differences in TC and LDL-C levels were noted across different intervention time points (both P<0.05). Specifically, the intervention group demonstrated reductions of 0.35 mmol/L in TC and 0.42 mmol/L in LDL-C from baseline to follow-up (both P<0.05). Conclusion The 12-month exercise prescription intervention can effectively enhance exercise participation and reduce waist-to-hip ratio, TC, and LDL-C levels among patients with T2DM.

Objective To construct a mammography image classification assistant system suitable for Chinese population,and explore the potential of artificial intelligence technology to assist early screening of breast cancer in China.Methods Curated breast imaging subset of digital database for screening mammography(CBIS-DDSM),Mammographic image analysis society database(MIAS)and other international open datasets were used to conduct model training respectively in order to reproduce the mainstream in-depth learning methods in the current literature.The model was also tested on the Chinese breast mammography database(CBMD)provided by Huajiao Technology Co.,Ltd,and the performance was compared.Aiming at the problem that the Chinese population data are not ideal in the performance test of the open dataset training model,an optimization strategy based on the sliding window adjustment mechanism was implemented in combination with the characteristics of Chinese population data.Then a two-stage migration learning method was designed to improve the overall performance of the model,and then development of our system was carried out.Results With the sliding window adjustment mechanism and the CBMD training model after two-stage transfer learning,the accuracy of our developed system was improved from 0.50 of the open datasets to 0.80,precision from 0.54 to 0.82,sensitivity from 0.52 to 0.80,F1 value from 0.52 to 0.80,and AUC value from 0.51 to 0.89 based on the Chinese population dataset as the test set.Conclusion Through the introduction of sliding window adjustment mechanism and two-stage migration learning strategy,the performance of the breast molybdenum target image classification model has been significantly improved in the Chinese population dataset,and our system primarily achieves the purpose of assisting the classification of breast molybdenum target images for the Chinese population.

Objective:To analyze the willingness and related factors of pregnant women in Shanghai City to receive influenza vaccines during pregnancy.Methods:An online questionnaire survey was conducted among pregnant women who registered in maternal and child health hospitals in 16 districts of Shanghai. The basic information, health status during pregnancy, attitude towards influenza vaccination, and knowledge of influenza and influenza vaccine were collected, and χ2 test and multivariate logistic regression analysis were used to analyze the willingness and related factors of pregnant women to receive influenza vaccines during pregnancy. Results:A total of 3 219 valid questionnaires were received, with 10.90% of pregnant women willing to receive influenza vaccination during pregnancy, 57.50% unwilling to receive vaccination and 31.59% holding an uncertain attitude. Among the pregnant women who were willing to receive the vaccine, 82.91% would take the initiative to know the relevant information about the influenza vaccine, and 87.18% understood the transmission routes of the flu. 32.09% believed that pregnant women could receive the influenza vaccination at any stage of pregnancy. Among those who were unwilling and held an uncertain attitude, the proportions of the above three questions were 47.06%, 83.95% and 17.80%, respectively. Among pregnant women who were unwilling to receive vaccination and held an uncertain attitude, the main reason for their vaccine hesitation was the concern about the safety of the vaccine for pregnant women and fetuses during pregnancy. Multivariate logistic regression analysis showed that pregnant women with higher education ( OR=3.278, 95% CI: 1.678-6.406, P=0.001), second trimester ( OR=1.542, 95% CI: 1.159-2.054, P=0.003), third pregnancy ( OR=2.318, 95% CI: 1.008-5.331, P=0.048), and previous influenza vaccination ( OR=1.552, 95% CI: 1.119-2.152, P=0.008) had a higher willingness to receive influenza vaccines during pregnancy. Conclusion:Pregnant women in Shanghai have a relatively low willingness to receive influenza vaccines during pregnancy, mainly due to concerns about vaccine safety.

[Purpose]To analyze the incidence and changing trends of elderly breast cancer(de-fined as diagnosis at age ≥ 60 years old)in China and globally from 1990 to 2021,and to predict its trends from 2022 to 2035.[Methods]Data on the number of new cases and crude incidence rate of elderly breast cancer in China and globally were extracted from the 2021 Global Burden of Disease Study(GBD)database.The age-standardized incidence rate(ASIR)was calculated by sex and age group.The Joinpoint regression model was used to calculate the annual percentage change(APC)and average annual percentage change(AAPC),to describe the incidence trend of elderly breast cancer from 1990 to 2021.The Bayesian age-period-cohort(BAPC)model was applied to predict the incidence of elderly breast cancer from 2022 to 2035.[Results]From 1990 to 2021,the number of new breast cancer cases among elderly individuals globally increased from 416 444 to 1 023 776,while in China,the number rose from 26 371 to 158 085.The ASIR increased from 89.04/105 to 94.73/105 globally and from 27.24/105 to 58.40/105 in China.By sex,the ASIR of el-derly females increased from 155.19/105 to 170.54/105 globally and from 49.13/105 to 106.00/105 in China;the ASIR of elderly males increased from 2.78/105 to 4.72/105 globally and from 1.69/105 to 6.81/105 in China.By age group,from 1990 to 2021,the incidence rates of breast cancer in elderly female and male both peaked in the age group of 85～89 years old globally.In China,the most significant increases in incidence rates were observed in the age group of 60～64 years old for elderly females and the age group of 70～74 years old for elderly males;these two age groups had the highest incidence rates in their respective sexes in 2021.Joinpoint analysis showed that the ASIR of elderly breast cancer in China presented a continuous upward trend from 1990 to 2021(AAPC=2.51％),with the fastest growth during 2016-2019(APC=5.14％).The global ASIR showed only a slight fluctuating upward trend(AAPC=0.20％),with significant increases only during 1990-1995 and 2003-2010.Predictions from the BAPC model indicated that by 2035,the global ASIR of elderly breast cancer would reach 107.84/105(192.26/105 for females and 6.02/105 for males),while the ASIR in China would reach 104.35/105(188.08/105 for females and 13.32/105 for males).[Conclusion]From 1990 to 2021,the incidence of elderly breast cancer showed an upward trend both in China and globally,with a particularly pronounced increase in elderly male.The disease burden of elderly breast cancer in China is expected to continue increasing in the future,necessi-tating strengthened primary and secondary prevention measures,as well as optimized screening programs for the elderly population to reduce disease risks and improve prognosis.