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.

Patients with gastric cancer undergoing postoperative chemotherapy often develop myelosuppression due to direct injury to the spleen and stomach caused by surgery， depletion of healthy qi by chemotherapy， impaired generation of ying （荣） qi due to spleen and stomach deficiency， and the accumulation of drug toxicity， which prevents ying qi from reaching and nourishing the bone marrow. Consequently， the bone marrow loses its nourishment and becomes unable to generate blood， leading to myelosuppression. This paper proposes that the core pathogenesis involves failure of the middle jiao （焦） pivot function， dysfunction of ying qi circulation， and insufficient nourishment of essence and marrow. Accordingly， Shengxian Decoction （升陷汤） combined with Danggui Buxue Decoction （当归补血汤） is used as the principal prescription to tonify the middle jiao and uplift center qi， thereby remedying the fundamental insufficiency of ying qi. Modified Compound Danshen Decoction （复方丹参饮） is applied to promote qi circulation， resolve stasis， remove toxin， and unblock collaterals， thereby resolving the obstruction preventing ying qi from reaching the bone marrow. Modified Dabuyuan Decoction （大补元煎） combined with Erzhi Pill （二至丸） is taken as the foundational formula to cultivate the root， replenish marrow， thereby modulating hematopoiesis in bone marrow.

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.

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.

ObjectiveTo establish a quality evaluation method for Zhuye Shigao granules（Zhuye Shigaotang） based on fingerprint and determination of index components， and to investigate the therapeutic effect of Zhuye Shigao granules on mice with cold-dampness pestilence attacking lung syndrome. MethodsThe fingerprint of Zhuye Shigao granules was established by high performance liquid chromatography（HPLC）， and the methods for determination of total calcium， orientin， isoorientin， ginsenosides Rg₁， Re and Rb₁ and other 2 index components were established. Fifty ICR mice were randomly divided into the blank group， model group， Zhuye Shigao granules low， medium and high dose groups（9.3， 18.6， 37.2 g·kg^-1·d^-1）， with 10 mice in each group. In addition to the blank group， the model mice with cold-dampness pestilence attacking lung syndrome was prepared by nasal drip of lipopolysaccharide combined with cold-dampness environment. Each administration group was given the corresponding liquid by gavage according to the dose， while the blank group and model group were given the same volume of normal saline by gavage. Then， the body temperature and organ index of mice in each group were measured， hematoxylin-eosin（HE） staining was used to investigate the lung tissue injury of mice in each group， and enzyme-linked immunosorbent assay（ELISA） was used to detect the changes of tumor necrosis factor-α（TNF-α）， interleukin（IL）-lβ， IL-6， IL-10 levels in serum and lung tissue， as well as immunoglobulin（Ig）A and IgM levels in serum. ResultsThe fingerprint similarity of 10 batches of Zhuye Shigao granules was>0.950， and 20 common peaks were calibrated. Seven of them were identified， including peak 11（isoorientin）， peak 12（orientin）， peak 14（apioside liquiritin）， peak 15（liquiritin）， peak 17（apioside isoliquiritin）， peak 19（isoliquiritin） and peak 20（liquiritigenin）. The results of quantitative analysis showed that the content range of each index component in 10 batches of Zhuye Shigao granules was as follows：Total calcium of 9.978-11.294 mg·g^-1， isoorientin of 0.033-0.041 mg·g^-1， orientin of 0.046-0.055 mg·g^-1， ginsenoside Rg₁+ginsenoside Re of 0.748-0.762 mg·g^-1， ginsenoside Rb₁ of 0.151-0.197 mg·g^-1， liquiritin of 1.106-1.366 mg·g^-1， glycyrrhizic acid of 0.904-1.182 mg·g^-1_. Compared with the blank group， the body temperature of mice in the model group was significantly increased， the organ indexes of liver， lung and spleen were significantly decreased， the organ index of thymus was significantly increased， HE staining of lung tissue showed infiltration of inflammatory cells， a small amount of serous exudation was observed in the alveoli， and lung tissue was damaged. After the intervention of Zhuye Shigao granules， the pathological changes were improved compared with the model group. The expression levels of IL-1β， IL-6 and TNF-α were significantly increased， the expression level of IL-10 was significantly decreased in serum and lung tissue. The levels of IgA and IgM in serum were significantly decreased（P<0.01）. Compared with the model group， the body temperature， the organ indexes and immune factor levels in serum and lung tissue of mice in the Zhuye Shigao granules medium and high dose groups were significantly reduced（P<0.05， P<0.01）. ConclusionIn this study， the quality evaluation of Zhuye Shigao granules was carried out based on fingerprint combined with determination of index components， and the fingerprint of four herbs（Lophatheri Herba， Ophiopogonis Radix， Pinelliae Rhizoma and Glycyrrhizae Radix et Rhizoma） in this formula and the determination of 8 index components were established. The therapeutic effect of Zhuye Shigao granules on mice with cold-dampness pestilence attacking lung syndrome may be related to inhibiting inflammatory response and mediating immune regulation.

Objective To investigate biological markers associated with psychotic symptoms in patients with bipolar disorder(BD)based on electronic medical records of patients,and to develop an interpretable risk prediction model that supports the identification of high-risk individuals and that facilitates decision-making for providing clinical intervention in a timely manner.Methods A total of 2 352 patients diagnosed with BD and admitted to West China Hospital,Sichuan University were enrolled using the electronic medical records system of the hospital.The participants were divided into two subgroups,the bipolar disorder depression(BDD)group and the bipolar disorder mania(BDM)group.The logistic regression algorithm was used to train and validate the prediction model,and interpretability methods were used to analyze the contribution of each feature to individuals and the effect of the features on specific target prediction decisions.Results The logistic regression model demonstrated robust predictive performance across the BD,BDD,and BDM cohorts,with areas under the curve(AUC)of the receiver operating characteristic curves always exceeding 81.6%.The core predictive features included platelet distribution width(PDW),fibrinogen(FIB),platelet large cell ratio(P-LCR),activated partial thromboplastin time(APTT),prothrombin time(PT),and triglyceride(TG).The logistic regression model exhibited strong interpretability and was combined with nomograms for intuitive risk quantification and individualized prediction.Conclusion The logistic regression model enables rapid and simple screening of BD patients with psychotic symptoms.Distinct patterns of changes observed in blood biomarkers of BDD and BDM subgroups enrich the understanding of the underlying pathophysiological mechanisms and highlight the importance of considering subtypes in the intervention and management of patients.

Objective To construct and validate a risk prediction model for malnutrition in non-di-alysis patients with stages 3 to 5 chronic kidney disease(CKD)based on Logistic regression(LR)and XGBoost algorithms,and to compare the predictive performance between the two models.Methods A total of 506 CKD patients were enrolled as study subjects.According to chronological order,they were divided into training set(n=404)and test set(n=102)at the ratio of 8 to 2.The training set was divided into case group and control group based on whether they were malnourished,with 202 cases in each group.The LR and XGBoost models were established,and the model efficacy was evaluated through the area under the receiver operating characteristic(ROC)curve(AUC),sensitivity,speci-ficity,GiViTI calibration curve band and clinical decision curve.Results The LR model identified age ≥60 years,disease of stage 5,reduced appetite,hypoalbuminemia,low prealbumin,low mid-arm muscle circumference and high perceived stress as independent risk factors for malnutrition among non-dialysis CKD patients,while physical activity was identified as a protective factor(P＜0.05).In the XGBoost model,the top five influential variables were serum albumin,appetite,physical activity,prealbumin and mid-arm muscle circumference.The AUC of the LR and XGBoost models in the train-ing set were 0.930 and 0.947 respectively,and those in the test set were 0.925 and 0.933.The pre-dictive ability of the latter was slightly higher(P＞0.05).The GiViTI calibration curve bands all showed good calibration capability.Conclusion The XGBoost model combined with shapley additive explanation performs better in identifying malnourished patients and guiding precise care.

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.