BackgroundModified electroconvulsive therapy （MECT） is a common front-line strategy widely used in psychiatric practice， and the optimal first stimulus dosage in MECT is usually estimated clinically based on the factors influencing the patient's initial seizure threshold （IST）. However， previous studies on the influencing factors of IST have mostly suffered from limitations such as small sample sizes and single-dimensional research perspectives. ObjectiveTo explore the factors influencing IST in MECT for patients with mental disorders， so as to provide references for stimulus dosing strategies in MECT for the patients. MethodsA retrospective study was used to include 1 446 inpatients fulfilling the diagnostic criteria for any specific mental disorder listed in the ICD-10 and receiving MECT at Shandong Daizhuang Hospital from January 1， 2021 to August 1， 2023. Their general and clinical data were collected， including IST， psychiatric diagnostic categories， gender， ethnicity， age， body weight， body mass index （BMI）， course of disease， family history of psychiatric disorders， first episode status， use of antiepileptic drugs the day before treatment， use of benzodiazepines the day before treatment， and previous MECT treatment history. Pearson correlation analysis was utilized to test the correlation of IST with age， height， body weight， BMI， and course of disease， and stepwise multivariate linear regression analysis was performed to identify the factors affecting IST. ResultsIST yielded statistical difference among patients in terms of gender， first episode status， use of antiepileptic drugs the day before treatment， and use of benzodiazepines the day before treatment （t=2.256， -3.059， -2.136， -3.006， P<0.05 or 0.01）. IST in patients of different ages and psychiatric diagnostic categories also demonstrated statistical difference （F=913.120， 6.212， P<0.01）. Within young population， IST varied significantly based on the psychiatric diagnostic categories （F=2.986， P<0.05）. Correlation analysis indicated that IST was positively correlated with age， body weight， BMI and course of disease （r=0.886， 0.055， 0.184， 0.456， P<0.05 or 0.01）， and negatively correlated with height （r=-0.183， P<0.01）. Stepwise multivariate linear regression analysis revealed that age， gender， and body weight were influencing factors of IST （β=0.888， -0.049， -0.035， P<0.01）. ConclusionsAge， gender and body weight may be factors influencing IST in MECT for patients with mental disorders. ［Funded by Key R&D Plan Projects of Jining City in 2024 (number, 2024YXNS202）］

Objective: To investigate the characteristics of malignant tumor incidence and mortality in cancer registration areas of Zhejiang Province in 2021. Methods: Based on the 2021 cancer registration data from 22 national cancer registries in Zhejiang Province, the crude incidence, crude mortality, and cumulative rate for 0 to 74 years were calculated. Age standardized was performed using the age composition of the standard population from the Fifth National Population Census in 2000 and Segi's world standard population. The incidence and mortality characteristics of malignant tumor in different genders, urban/rural areas and ages were described. The order of crude incidence and mortality of malignant tumor were analyzed. Results: In 2021, there were 116 639 new malignant tumor cases in Zhejiang Province. The crude, Chinese population standardized, and world population-standardized incidences were 530.93/100 000, 304.83/100 000, and 288.20/100 000, respectively. The cumulative incidence for 0 to 74 years was 31.92%. There were 40 475 death cases. The crude, Chinese population-standardized, and world population-standardized mortalities were 184.24/100 000, 79.40/100 000, and 78.97/100 000, respectively. The cumulative mortality for 0 to 74 years was 8.37%. The Chinese population-standardized incidence for males and females were 286.34/100 000 and 323.45/100 000, respectively, and the Chinese population-standardized mortality were 106.25/100 000 and 54.17/100 000, respectively. The Chinese population-standardized incidence for urban and rural were 316.85/100 000 and 285.11/100 000, respectively, and the Chinese population-standardized mortality were 75.59/100 000 and 85.48/100 000, respectively. The crude incidence and crude mortality of malignant tumor both increased with age, peaking in the groups aged 80-<80 and ≥85 years at 1 845.06/100 000 and 1 656.88/100 000, respectively. The top ten malignant tumors with the highest crude incidence were, in descending order: lung cancer, thyroid cancer, breast cancer, prostate cancer, colorectal cancer, gastric cancer, liver cancer, cervical cancer, lymphoma, and brain tumors. These accounted for 80.34% of all new malignant tumor cases. The top ten malignant tumors with the highest crude mortality were, in descending order: lung cancer, liver cancer, colorectal cancer, gastric cancer, pancreatic cancer, prostate cancer, breast cancer, esophageal cancer, lymphoma, and gallbladder cancer. These accounted for 82.26% of all malignant tumor deaths. Conclusions In 2021, the cancer registration areas of Zhejiang Province were characterized by a relatively high malignant tumor incidence and a comparatively low mortality compared to national data. Males and the elderly emerged as key populations for targeted prevention and control. It is recommended to enhance screening, early diagnosis, and early treatment for lung cancer, thyroid cancer, prostate cancer, breast cancer, and gastric cancer malignancies.

The pharmaceutical industry faces challenges in quality digitization for complex multi-stage processes, especially in small-sample systems. Here, an intelligent quality prediction and diagnostic (IQPD) framework was developed and applied to Tong Ren Tang's Niuhuang Qingxin Pills, utilizing four years of data collected from four production units, covering the entire process from raw materials to finished products. In this framework, a novel path-enhanced double ensemble quality prediction model (PeDGAT) is proposed, which combines a graph attention network and path information to encode inter-unit long-range and sequential dependencies. Additionally, the double ensemble strategy enhances model stability in small samples. Compared to global traditional models, PeDGAT achieves state-of-the-art results, with an average improvement of 13.18% and 87.67% in prediction accuracy and stability on three indicators. Additionally, a more in-depth diagnostic model leveraging grey correlation analysis and expert knowledge reduces reliance on large samples, offering a panoramic view of attribute relationships across units and improving process transparency. Finally, the IQPD framework integrates into a Human-Cyber-Physical system, enabling faster decision-making and real-time quality adjustments for Tong Ren Tang's Niuhuang Qingxin Pills, a product with annual sales exceeding 100 million CNY. This facilitates the transition from experience-driven to data-driven manufacturing.

BACKGROUND:In recent years,with the development of biological scaffold materials and bioprinting technology,tissue-engineered bone has become a research hotspot in bone defect repair. OBJECTIVE:To summarize the current treatment methods for bone defects,summarize the biomaterials and bioprinting technology for preparing tissue-engineered bone scaffolds,and explore the application of biomaterials and printing technology in tissue engineering and the current challenges. METHODS:Search terms were"bone defect,tissue engineering,biomaterials,3D printing technology,4D printing technology,bioprinting,biological scaffold,bone repair"in Chinese and English.Relevant documents published from January 1,2009 to December 1,2022 were retrieved on CNKI,PubMed and Web of Science databases.After being screened by the first author,high-quality references were added.A total of 93 articles were included for review. RESULTS AND CONCLUSION:The main treatment methods for bone defects include bone transplantation,membrane-guided regeneration,gene therapy,bone tissue engineering,etc.The best treatment method is still uncertain.Bone tissue engineering technology is a new technology for the treatment of bone defects.It has become the focus of current research by constructing three-dimensional structures that can promote the proliferation and differentiation of osteoblasts and enhance the ability of bone formation.Biological scaffold materials are diverse,with their characteristics,advantages and disadvantages.A single biological material cannot meet the demand for tissue-engineered bone for the scaffold.Usually,multiple materials are combined to complement each other,which is to meet the demand for mechanical properties while taking into account the biological properties of the scaffold.Bioprinting technology can adjust the pore of the scaffold,build a complex spatial structure,and is more conducive to cell adhesion,proliferation and differentiation.The emerging 4D printing technology introduces"time"as the fourth dimension to make the prepared scaffold dynamic.With the synchronous development of smart materials,4D printing technology provides the possibility of efficient repair of bone defects in the future.

Purpose To establish a nomogram based on conventional ultrasound combined with contrast-enhanced ultrasound(CEUS)for predicting the probability of cervical central lymph node metastasis(CLNM)in clinical lymph node-negative(CN0)papillary thyroid carcinoma(PTC)patients.Materials and Methods A retrospective study was performed on 359 patients with single CN0 PTC,all of whom underwent thyroid surgery and prophylactic central compartment neck dissection in the First Affiliated Hospital of Shihezi University from September 2015 to March 2022.According to the postoperative pathological results,there were 116 cases with CLNM(+)and other 243 cases with CLNM(-).The indicators of gender,age,conventional ultrasound and CEUS were recorded,and multivariate stepwise Logistic regression was performed to screen out risk predictors to construct prediction models for CLNM in CN0 PTC.The receiver operating characteristic curves of prediction models were drawn,and the area under the curve(AUC)was further compared.The preferable prediction model was selected to establish the risk probability nomogram,and the prediction performance and clinical applicability of the nomogram model were assessed.Results Multivariate analysis showed that gender,age,the maximum diameter of nodule,capsule invasion and enhancement pattern on CEUS were risk factors for CLNM in CN0 PTC(all P<0.05).The AUC of prediction model 1 including the above five indicators was 0.753,and the AUC of prediction model 2 excluding CEUS indicator was 0.704.There were statistically significant difference in AUCs between the two models(Z=2.473,P=0.013).Prediction model 1 was selected to construct a risk probability nomogram for predicting CLNM in CN0 PTC.The nomogram had a C-index of 0.753 and showed well consistency on the calibration curve.Clinical decision curve analysis indicated that the nomogram could achieve ideal net benefit when the threshold probability was between 10.7%to 81.5%.Conclusion Gender,age,the maximum diameter of nodule,capsule invasion and enhancement pattern on CEUS may be the risk predictors for CLNM in CN0 PTC.The nomogram model based on the above indicators can predict the probability of CLNM effectively,and the CEUS indicators can substantially improve the prediction performance of the model.

Objective To analyze the current situation of unplanned reoperation in cardiac surgery and to discuss the management measures of unplanned reoperation.Methods The information of patients undergoing cardiac surgery in a class A tertiary comprehensive hospital during 2018-2022 was collected to analyze the incidence of unplanned reoperation,major ca uses,disease types,surgica l moda lities and Complications.Results A tota l of 3902 patients underwent surgery,of whom 73(1.87%)underwent unplanned reoperation.The main cause of unplanned reoperation was bleeding(50%).The disease types with the highest unplanned reoperation composition ratio were coronary heart disease(38.4%),and the disease types with the highest incidence were dilated cardiomyopathy(11.1%).The average hospitalization cost,the average length of hospitalization,mortality rate and medical dispute rate of patients who had unplanned reoperation were significantly higher than those who did not have unplanned reoperation,the difference was statistically significant(P=0.001).Conclusion The hospital should strengthen the perioperative management of cardiac surgery,focus on supervising disease types and surgical modalities with high incidence of unplanned reoperation,and strictly implement the system of operation classification and the system of reporting unplanned reoperation to ensure the quality of patient surgery.

Objective:To evaluate the effect of sevoflurane on Ca 2+ transporter expression in cardiomyocytes during right ventricular remodeling in rats with pulmonary arterial hypertension. Methods:Twenty-four clean-grade healthy male Sprague-Dawley rats, aged 8-10 weeks, weighing 200-250 g, were divided into 4 groups ( n=6 each) by the random number table method: control group (CM group), sevoflurane group (CS group), monocrotaline group (M group) and sevoflurane + monocrotaline group (S group). Monocrotaline 60 mg/kg was intraperitoneally injected in group M and group S, and monocrotaline lysate was intraperitoneally injected in group CM. The rats in S and CS groups inhaled 2.5% sevoflurane for 1 h, twice a week, at an interval of 3 days starting from the first day after injection of monocrotaline. Pulmonary artery acceleration time and pulmonary artery ejection time were measured by transthoracic echocardiography at 6 weeks after monocrotaline injection. The chest was exposed under 3% sevoflurane anesthesia, the heart was perfused, and the pulmonary artery branch and right ventricular myocardial tissues were retained. The wall thickness of pulmonary arterioles and cross-section area of right ventricular cardiomyocytes were observed by HE staining. The expression of Ca 2+ transporter in right ventricular cardiomyocytes was detected by Western blot. Results:Compared with CM group, the ratio of pulmonary artery acceleration time to pulmonary artery ejection time was significantly decreased, the cross-section area of right ventricular cardiomyocytes was increased, the wall thickness of pulmonary arteriole was increased, the expression of type 1 sodium-calcium exchange and inositol triphosphate receptor was up-regulated, and the expression of voltage-dependent L-type calcium channel α1C subunit, type 2 ryanodine receptor, sarcoplasmic reticulum calcium pump 2α and proteinphilin-2 was down-regulated in M group ( P<0.01). Compared with group M, the ratio of pulmonary artery acceleration time to pulmonary artery ejection time was significantly increased, the cross-section area of right ventricular cardiomyocytes was decreased, the wall thickness of pulmonary arteriole was decreased, the expression of type 1 sodium-calcium exchange and inositol triphosphate receptor was down-regulated, and the expression of voltage-dependent L-type calcium channel α1C subunit, type 2 ryanodine receptor, sarcoplasmic reticulum calcium pump 2α and proteinphilin-2 was up-regulated in group S ( P<0.01). Conclusions:The mechanism by which sevoflurane improves right ventricular remodeling is related to regulating the expression of Ca 2+ transporter in cardiomyocytes of rats with pulmonary arterial hypertension.

Bacille Calmette-Guérin (BCG) vaccine is designed to provide protection against tuberculosis (TB). However, numerous epidemiological, clinical, and immunological studies have shown that BCG vaccination affects neonatal and infant mortality, which may be related to the reduction of TB-unrelated infections and diseases by BCG vaccine. We aimed to discuss the off-target effects of BCG vaccine on un-TB infections and diseases, as well as the potential mechanism and influencing factors. Literature was retrieved mainly from PubMed using medical subject headings "BCG, variations, and non-specific, heterologous or off-target". Studies have showed that BCG vaccination can prevent various heterologous infections, including respiratory tract infections, leprosy, and malaria, treat viral infections including human papillomavirus and herpes simplex virus infection as immunotherapy, and improve the immune responses as vaccine adjuvant. Besides, BCG vaccine can reduce the recurrence rate of non-muscle-invasive bladder cancer, and may provide protection against autoimmune diseases. These off-target effects of BCG vaccine are thought to be achieved by modulating heterologous lymphocyte responses or inducing trained immunity, which were found to be sex-differentiated and affected by the BCG vaccine strains, sequence or time of vaccination.

Cardiometabolic disease is a clinical syndrome with a causal relationship between metabolic abnormalities and cardiovascular damage. With its global incidence and related mortality rates continually rising， it has become a major health concern worldwide. The role of the gut microbiome and its metabolic products in cardiovascular metabolic health has received widespread attention， with gut microbiota dysbiosis considered a key factor in promoting the development of cardiometabolic disease. Dysbiosis disrupts the balance of the "heart-spleen-intestine" axis， leading to dysfunction of the spleen and intestines， which triggers metabolic disorders and accelerates the progression of cardiometabolic disease. Cardiac dysfunction can also negatively affect spleen and intestinal function， leading to imbalances in the heart and spleen， disharmony in Qi and blood， and exacerbating metabolic anomalies and further dysbiosis， thus forming a vicious cycle. From a modern biological perspective， the gut microbiome and its metabolic products can influence disease progression by modulating inflammatory responses and immune imbalances， leading to endothelial dysfunction and metabolic disorders， thereby increasing the risk of cardiometabolic disease. Additionally， the article proposes strategies for managing cardiometabolic disease by regulating the gut microbiome through a combination of Chinese and western medicine approaches. Traditional Chinese medicine（TCM） treatment starts from the gut microbiome， using the "heart-spleen-intestine" axis as a mediator to regulate cardiovascular metabolic health， highlighting the unique advantages of TCM in targeting the gut microbiome to treat cardiometabolic disease. This article takes the TCM theory of the "heart-spleen-intestine" axis as a starting point， discusses the pivotal role played by this axis in the connection between gut microbiome dysbiosis and the development of cardiometabolic disease， aiming to provide a new perspective for the integrated traditional Chinese and western medical research on cardiometabolic disease， offering scientific evidence and practical guidance to improve the prognosis and quality of life for patients.

ObjectiveUltra-performance liquid chromatography-quadrupole/electrostatic field orbitrap high resolution mass spectrometry（UPLC-Q-Exactive Orbitrap MS/MS） was used to investigate the metabolism and distribution of nardosinone in rats， then metabolic pathways were speculated. MethodRats were administered with 30 mg·kg^-1 of nardosinone suspension by gavage for 3 consecutive days， and plasma， urine， feces， and tissues of heart， liver， spleen， lung， kidney， brain， stomach， and intestine were collected at predetermined time points. After treatment， the samples were processed for UPLC-Q-Exactive Orbitrap MS/MS， and the MS data were analyzed using Xcalibur 2.2 software. The metabolites were searched by comparing the base peak chromatogram and extracted ion chromatogram between the treated group and blank group， and based on the relative retention time（t_R）， quasi-molecular ion peak， precise molecular mass， and fragment ions of MS/MS， the elemental composition were searched using databases such as SciFinder and PubChem， as well as referring to relevant literature， the possible metabolites were identified and the metabolic pathways were inferred. ResultA total of 30 metabolites of nardosinone were identified， including 15， 19， 12， 7， 4， 11， 8， 13， 13， 8 and 12 metabolites in urine， feces， plasma， brain， heart， liver， spleen， lung， kidney， stomach and intestine， respectively. The main metabolic pathways of nardosinone in rats were hydroxylation， dehydroxylation， reduction， dehydrogenation， hydration， dehydration， carboxylation， glucuronidation， and dehydroxy-isopropyl. ConclusionNardosinone can be metabolized by phase Ⅰ and phase Ⅱ metabolism in rats， and the metabolites are widely distributed in the major organs. The results of this study can provide a basis for further research on the pharmacodynamic material basis， pharmacological mechanism and clinical application of nardosinone.