In this paper, near-infrared spectroscopy(NIRS) was employed to analyze 129 batches of commercial products of Reduning Injection. The batch reporting rate was estimated according to the report of Reduning Injection in the direct adverse drug reaction(ADR) reporting system of the drug marketing authorization holder of the Center for Drug Reevaluation of the National Medical Products Administration(National Center for ADR Monitoring) from August 2021 to August 2022. According to the batch reporting rate, the samples of Reduning Injection were classified into those with potential risks and those being safe. No processing, random oversampling(ROS), random undersampling(RUS), and synthetic minority over-sampling technique(SMOTE) were then employed to balance the unbalanced data. After the samples were classified according to appropriate sampling methods, competitive adaptive reweighted sampling(CARS), successive projections algorithm(SPA), uninformative variables elimination(UVE), and genetic algorithm(GA) were respectively adopted to screen the features of spectral data. Then, support vector machine(SVM), logistic regression(LR), k-nearest neighbors(KNN), naive bayes(NB), random forest(RF), and artificial neural network(ANN) were adopted to establish the risk prediction models. The effects of the four feature extraction methods on the accuracy of the models were compared. The optimal method was selected, and bayesian optimization was performned to optimize the model parameters to improve the accuracy and robustness of model prediction. To explore the correlations between potential risks of clinical use and quality test data, TreeNet was employed to identify potential quality parameters affecting the clinical safety of Reduning Injection. The results showed that the models established with the SVM, LR, KNN, NB, RF, and ANN algorithms had the F1 scores of 0.85, 0.85, 0.86, 0.80, 0.88, and 0.85 and the accuracy of 88%, 88%, 88%, 85%, 91%, and 88%, respectively, and the prediction time was less than 5 s. The results indicated that the established models were accurate and efficient. Therefore, near infrared spectroscopy combined with machine learning algorithms can quickly predict the potential risks of clinical use of Reduning Injection in batches. Three key quality parameters that may affect clinical safety were identified by TreeNet, which provided a scientific basis for improving the safety standards of Reduning Injection.
Spectroscopy, Near-Infrared/methods* ; Drugs, Chinese Herbal/administration & dosage* ; Machine Learning ; Algorithms ; Humans ; Quality Control

Panvascular disease is a complex systemic disorder. Research by our team has established "kidney deficiency-vascular impairment" as its core pathogenesis. Consequently, we developed a three-tiered progressive prevention and treatment strategy: early prevention phase: focuses on tonifying the kidney and reducing turbidity; mid-term control phase: focuses on tonifying the kidney and stabilizing plaque; late recovery phase: focuses on tonifying the kidney and unblocking collaterals. This targeted therapeutic protocol effectively alleviates clinical symptoms, improves biochemical markers, enhances treatment efficacy, and achieves comprehensive management throughout the disease course. This article systematically elaborates on the concept of "kidney deficiency-vascular impairment" in panvascular disease, summarizes the mechanisms of kidney-tonifying Chinese herbal medicines, aiming to provide a beneficial reference for the whole-course management of panvascular diseases.
Humans ; Drugs, Chinese Herbal/therapeutic use* ; Kidney/blood supply* ; Vascular Diseases/physiopathology* ; Animals ; Kidney Diseases/physiopathology*

OBJECTIVE: To screen out the key metabolites related to diabetic foot (DF) by integrating genome-wide association studies (GWAS) and metabolome genome-wide association studies (mGWAS). METHODS: The literature databases such as PubMed and China national knowledge infrastructure(CNKI), as well as genomics databases such as PAN UKBB, FinnGen, and IEU Open GWAS were systematically retrieved from database estobilishment to November 2024 on DF-related single nucleotide polymorphisms and genome-wide association studies. DF-single nucleotide polymorphism-metabolite network was constructed by mGWAS package and mGWAS-Explorer platform. The causal relationship between key factors was evaluated by two-sample Mendelian randomization. The genetic correlation between DF and 575 metabolites (source:IEU Open GWAS) was evaluated by linkage disequilibrium score regression. In vitro experiments were conducted to induce injury of human umbilical vein endothelial cells with 30 mM glucose and intervene with 20 μM γ-tocopherol. Changes in cell migration, scratch healing and tube formation function were detected. RESULTS: Twenty-senen literatures on single nucleotide polymorphism literatures and 3 studies on GWAS were included. Genetic analysis results showed DF-related single nucleotide polymorphisms were enriched in vascular endothelial dysfunction-related pathways (such as fluid shear stress and atherosclerosis). The results of metabolic network analysis screened out 19 associated metabolites, among which 12 such as γ -tocopherol and pyruvate had significant genetic correlations with DF. Mendelian randomization suggested matrix metalloproteinase-9(MMP-9) might be a potential driver of DF (β=0.658, P=0.063 8), and the occurrence of DF could reduce the level of high-density lipoprotein (β=-0.002, P=0.015 2). The results of in vitro experiments confirmed that γ -tocopherol could improve endothelial dysfunction induced by high glucose, specifically manifested as an increase in the number of cell migrations, improvement in the scratch healing rate, and recovery of tubule formation ability (P<0.05). CONCLUSION DF has a genetic basis centered on vascular endothelial dysfunction, and its occurrence can lead to further metabolic disorders. The key single nucleotide polymorphism loci integrated provided molecular markers for the risk stratification of foot ulcers in diabetic patients. In addition, γ -tocopherol has demonstrated clinical application potential as a therapeutic drug for DF by significantly improving the function of vascular endothelial cells in a high-glucose environment.
Humans ; Diabetic Foot/drug therapy* ; Polymorphism, Single Nucleotide ; Genome-Wide Association Study ; Genomics ; Metabolomics ; Metabolome

Systemic lupus erythematosus (SLE) is a chronic autoimmune disorder affecting multiple systems, characterized by the development of harmful autoantibodies and immune complexes that lead to damage in organs and tissues. Chinese medicine (CM) plays a role in mitigating complications, enhancing treatment effectiveness, and reducing toxicity of concurrent medications, and ensuring a safe pregnancy. However, CM mainly solves the disease comprehensively through multi-target and multi-channel regulation process, therefore, its treatment mechanism is often complicated, involving many molecular links. This review introduces the research progress of pathogenesis of SLE from the aspects of genetics, epigenetics, innate immunity and acquired immunity, and then discusses the molecular mechanism and target of single Chinese herbal medicine and prescription that are commonly used and effective in clinic to treat SLE.
Lupus Erythematosus, Systemic/immunology* ; Humans ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/pharmacology* ; Animals

This study aimed to comprehensively examine the association of gallstones, cholecystectomy, and cancer risk. Multivariable logistic regressions were performed to estimate the observational associations of gallstones and cholecystectomy with cancer risk, using data from a nationwide cohort involving 239 799 participants. General and gender-specific two-sample Mendelian randomization (MR) analysis was further conducted to assess the causalities of the observed associations. Observationally, a history of gallstones without cholecystectomy was associated with a high risk of stomach cancer (adjusted odds ratio (aOR)=2.54, 95% confidence interval (CI) 1.50-4.28), liver and bile duct cancer (aOR=2.46, 95% CI 1.17-5.16), kidney cancer (aOR=2.04, 95% CI 1.05-3.94), and bladder cancer (aOR=2.23, 95% CI 1.01-5.13) in the general population, as well as cervical cancer (aOR=1.69, 95% CI 1.12-2.56) in women. Moreover, cholecystectomy was associated with high odds of stomach cancer (aOR=2.41, 95% CI 1.29-4.49), colorectal cancer (aOR=1.83, 95% CI 1.18-2.85), and cancer of liver and bile duct (aOR=2.58, 95% CI 1.11-6.02). MR analysis only supported the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer. This study added evidence to the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer, highlighting the importance of cancer screening in individuals with gallstones.
Humans ; Mendelian Randomization Analysis ; Gallstones/complications* ; Female ; Male ; Cholecystectomy/statistics & numerical data* ; Middle Aged ; Risk Factors ; Aged ; Adult ; Neoplasms/etiology* ; Stomach Neoplasms/epidemiology*

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

OBJECTIVES: Magnetic resonance imaging (MRI) was used to study the efficacy of modified anterior splint (MAS) combined with anterior repositioning splint (ARS) in maintaining the normal disk-condyle relationship. METHODS: We obtained clinical and imaging data of 10 patients with acute anterior disk displacement without reduction (ADDwoR) of the temporomandibular joint undergoing successful mandibular manipulation in the Affiliated Stomatological Hospital, Nanchang University from January to June 2024. The MAS and ARS were used for subsequent treatment. Maximum active mouth opening (MMO) and visual analogue score (VAS) were recorded before treatment and 2 weeks, 1 month, and 3 months after treatment. The changes in the disk-condyle relationship, disk-condyle angle, joint effusion, and double contour sign before and after treatment were analyzed through MRI. RESULTS: Three months after treatment, the MMO increased from 28.90 mm to 46.85 mm, VAS decreased from 4.68 to 0.61, and the disk-condyle angle decreased from 58.84° to 25.99°. MRI analysis found that 6 patients showed normal disk-condyle relationship, 2 patients exhibited displacement with reduction, and 2 patients exhibited ADDwoR. The disk-condyle angle was 58.84° before treatment and 25.99° after treatment. CONCLUSIONS The MAS combined with ARS could further stabilize the coordinated disk-condyle relationship and reduce the recurrence rate.
Humans ; Male ; Magnetic Resonance Imaging ; Female ; Adult ; Temporomandibular Joint Disorders/diagnostic imaging* ; Splints ; Middle Aged ; Mandible ; Temporomandibular Joint Disc ; Occlusal Splints ; Temporomandibular Joint ; Young Adult ; Joint Dislocations/therapy*

Aim To explore the effect of curcumin on the growth of malignant glioma and the possible mecha-nism.Methods Human glioblastoma cell U87 was taken as the study object.They were randomly separa-ted into the blank control group(without any interven-tion)and low,medium and high curcumin group(10,20 and 40 μmol·L-1),temozolomide group(40μmol·L-1),curcumin 40 μmol·L-1+LY210976110 μmol·L-1,curcumin 40 μmol·L-1+SRI-011381 10 μmol·L-1,then they were intervened for 48 h.The activity,migration and invasion ability of U87 cells in each group were measured by CCK-8 method and Transwell method.The cell cycle changes of U87 cells were measured by flow cytometry.The ex-pression levels of TGF-β1/Smad signaling pathway in U87 cells were measured by Western blotting.Results After 48 h intervention,the percentage of U87 cell activity,cell migration and invasion number in curcu-min group and temozolomide group were lower than those in the blank control group(P＜0.05),and all decreased with the increase of curcumin dose(P＜0.05).Compared with the blank control group,the number of cells increased in Sub-G0 stage in the curcu-min group and temozolomide group(P＜0.05),and decreased in G2/M stage(P＜0.05).The protein rel-ative expression levels of TGF-β1,p-Smad 3,N-cad-herin,matrix metalloproteinase(MMP)-2 and MMP-9 in U87 cells in high curcumin group and temozolomide group were lower than those in the blank control group(P＜0.05),and the protein relative expression levels of Smad 7 and E-cadherin were higher than those in the blank control group(P＜0.05).There was no statisti-cally significant difference between the high curcumin group and temozolomide group(P＞0.05).Compared with the high curcumin group,inhibition of TGF-β1/Smad pathway could further inhibit the activity,migra-tion and invasion of U87 cells,reduce the relative ex-pression levels of TGF-β1,P-Smad 3,MMP-2 and MMP-9 proteins(P＜0.05),and increase the relative expression levels of Smad 7 and E-cadherin protein(P＜0.05),while the TGF-β1/Smad pathway activator was vice versa(P＜0.05).Conclusions Curcumin can inhibit the growth of malignant glioma U87 cells,and the mechanism may be related to the regulation of TGF-β1/Smad signaling pathway.

Objective:To clarify the causal relationship between obesity and male infertility through Mendelian randomization(MR)study.Methods:We assessed the causal effect of genetically predicted body mass index(BMI)on the risk of male infertility via a two-sample MR analysis,with the BMIs of 99 998 cases and 12 746 controls as the exposure factor and genetic information on male infertility obtained from a genome-wide association study of 73 479 Europeans.In the univariable MR(UVMR)analysis of the causal relationship,we mainly used inverse variance weighting(IVW),with MR-Egger regression and weighted median filtering as the supplementary methods.Sensitivity analyses including the Cochran's Q test,Egger intercept test,MR-PRESSO,leave-one-out analysis and funnel plot were performed to verify the robustness of the MR results.To evaluate the direct causal effects of BMI on MI risk,mult-ivariable MR(MVMR)was performed.Results:UVMR indicated a causal relationship between genetically predicted BMI and an in-creased risk of male infertility(OR:1.237,95%CI:1.090-1.404,P=0.001).Sensitivity analysis revealed little evidence of bias in the current study(P>0.05).With such risk factors as type 2 diabetes,alcohol consumption and smoking adjusted,MVMR confirmed a direct causal effect of genetically predicted BMI on the risk of male infertility(P<0.05).Conclusion:Genetically pre-dicted BMI may be associated with an increased risk of male infertility.Further studies are expected to explore the underlying mecha-nisms of this association and provide some new strategies for the prevention and treatment of BMI-related male infertility.