ObjectiveTo identify the independent risk factors for pyloric lymph node （PLN） metastasis in patients with upper gastric cancer （UGC） and to construct a nomogram prediction model applicable for UGC patients. MethodsClinical data of 823 UGC patients attended between January 2020 and November 2023 were retrospectively collected. Patients were randomly divided into a training set （n=576） and a validation set （n=247） at a 7∶3 ratio. Based on the training set， multivariate Logistic regression analysis was performed to identify independent risk factors for PLN metastasis， and a nomogram prediction model was constructed accordingly. The model's discriminative ability and calibration were assessed using receiver operating characteristic （ROC） curves and calibration curves. Finally， external validation was conducted using the validation set to evaluate the model's stability and generalizability. ResultsMultivariate Logistic regression analysis revealed that tumor size （OR=1.324， 95%CI： 1.053-1.667）， T3 stage （OR=5.738， 95%CI： 1.281-25.695）， T4 stage （OR=7.680， 95%CI： 1.542-38.247）， lymphovascular invasion （LVI） （OR=6.623， 95%CI： 1.384-31.708）， differentiation extent （OR=3.108， 95%CI： 1.545-6.251）， and fibrinogen degradation product （FDP） level （OR=4.849， 95%CI： 2.071-11.355） were independent risk factors for PLN metastasis in UGC patients.The nomogram model constructed based on these factors demonstrated areas under the ROC curve （AUC） of 0.815 （95%CI： 0.751-0.815） in the training set and 0.832 （95%CI： 0.731-0.933） in the validation set. Calibration curves indicated good agreement between predicted and observed outcomes. ConclusionThis nomogram prediction model exhibits good predictive performance for assessing the risk of PLN metastasis in UGC patients.

OBJECTIVE To explore the mechanism of action of Qingre huatan huoxue decoction against atherosclerosis （AS）based on macrophage polarization. METHODS Using atorvastatin served as the positive control， the drug-containing serum of the Qingre huatan huoxue decoction was prepared to treat RAW264.7 macrophages. Macrophage viability， apoptosis rate， and the fluorescence intensities of CD86 and CD206 were measured， along with the levels of tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β）. Apolipoprotei n E-deficient （ApoE －/－ ） mice （AS model mice） fed with a high-fat diet were randomly assigned to model group， atorvastatin group （2.6 mg/kg）， and low-， medium- and high-dose groups of Qingre huatan huoxue decoction （90， 180， 360 mg/kg）， respectively. C57BL/6J mice fed with a standard diet served as the normal control group， with 10 mice per group. The treatment group mice were administered the corresponding drugs intragastrically， once daily， for 8 consecutive weeks. Serum levels of TNF-α and IL-1β were measured in all groups. Lipid deposition in the aorta （assessed by the percentage of plaque in the entire aorta and aortic root） and morphological changes in the aortic root were observed. Expression levels of CD86 and CD206 in aortic tissue， as well as the protein expression levels of inducible nitric oxide synthase （iNOS）， arginase-1 （Arg-1）， AMP-activated protein kinase （AMPK）， phosphorylated AMPK （p-AMPK）， and peroxisome proliferator-activated receptor γ （PPAR-γ） in aortic tissues were all detected. RESULTS Cell experiment results showed that， at concentrations of 5-100 μg/mL， the drug-containing serum of the Qingre huatan huoxue decoction significantly increased RAW264.7 cell viability （ P ＜0.05）. The drug-containing serum of the Qingre huatan huoxue decoction at concentrations of 10， 50， and 100 μg/mL， along with atorvastatin， significantly reduced apoptosis rates， CD86 fluorescence intensity， and TNF-α and IL-1β levels in RAW264.7 cells， while markedly enhancing CD206 fluorescence intensity （ P ＜0.05）. Animal experiment results showed that， compared with the model group， all dosage groups of Qingre huatan huoxue decoction and the atorvastatin group showed significantly reduced/down-regulated levels of TNF-α and IL-1β in serum， along with decreased aortic total and root plaque percentages， CD86 expression， and iNOS protein expression. CD206 expression and Arg-1， p-AMPK/AMPK， PPAR-γ protein expression were significantly up-regulated （ P ＜0.05）. Pathological morphology of the aorta showed varying degrees of improvement. CONCLUSIONS The formula of Qingre huatan huoxue decoction exerts its anti-AS effects by regulating macrophage polarization， increasing the proportion of M2 macrophages， thereby effectively inhibiting AS plaque formation and reducing inflammatory responses.

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.

Objective To explore the potential causal relationship between occupational pneumoconiosis (hereinafter referred to as "pneumoconiosis") and five mental disorders (depression, bipolar disorder, schizophrenia, insomnia and anxiety) using the two-sample Mendelian randomization (MR) method. Methods Single nucleotide polymorphisms (SNPs) loci associated with pneumoconiosis and five mental disorders were screened from Genome-Wide Association Studies. Inverse variance weighting (IVW), weighted median (WM) and MR-Egger regression methods were used to evaluate the significance of the causal relationship between pneumoconiosis and five mental disorders. Sensitivity analysis was used to evaluate the accuracy and reliability of the research results. Results After matching data of pneumoconiosis and the five mental disorders, 16 SNPs were ultimately included as instrumental variables in this study. The result of MR analysis revealed a positive causal relationship between pneumoconiosis and both depression [IVW: odds ratio (OR) and 95% confidence interval (CI) was 1.017 (1.000-1.035), P<0.05] and bipolar disorder [IVW: OR(95%CI)was 1.046(1.009-1.083), P<0.05; WM: OR (95%CI) was 1.055(1.007-1.105), P<0.05]. Result of sensitivity analysis indicated there was no heterogeneity and horizontal pleiotropy in the above results. There was no causal association observed between pneumoconiosis and schizophrenia, insomnia, or anxiety disorders (all P>0.05). Conclusion This study provides genetic evidence supporting a positive causal relationship between pneumoconiosis and both depression and bipolar disorder.

Diabetic nephropathy （DN） is a serious chronic microvascular complication of diabetes mellitus （DM） and a major cause of end-stage renal disease （ESRD）. It is characterized by gradual and progressive decline of renal function， which eventually leads to glomerular sclerosis， interstitial fibrosis and other serious lesions. Although modern medical treatment can partially relieve the symptoms， there are limitations such as single therapeutic effect， low long-term therapeutic effect， and severe side effects. Traditional Chinese medicine （TCM）， with a wide effect range， lasting efficacy， and high safety， often exerts unique therapeutic effect in the clinical treatment of DN. Nuclear factor E₂-related factor 2 （Nrf2）， an anti-oxidative stress transcription factor， has received much attention. It can regulate multiple upstream and downstream factors such as heme oxygenase-1 （HO-1）， NAD（P）H： quinone oxidoreductase 1 （NQO1）， nuclear factor-κB （NF-κB）， NOD-like receptor thermal protein domain-associated protein 3 （NLRP3） inflammasome， glutathione peroxidase 4（GPX4）， and p62， playing a role in cell protection by intervening in different mechanisms. A large number of studies have found that TCM active ingredients and compound prescriptions can inhibit oxidative stress， inflammation， pyroptosis， apoptosis， and ferroptosis or promote autophagy by regulating the signaling pathway composed of Nrf2 and the above-mentioned related factors， thus protecting the kidney function， reducing proteinuria， alleviating kidney fibrosis， and significantly ameliorating DN. This review briefly summarized the structure and function of Nrf2， clarified the regulation mechanism of Nrf2 in DN， focused on the main studies on the intervention of DN by the effective components and compound formulas of TCM through the targeted activation of the Nrf2 signaling pathway in the past five years， and discussed the huge potential of Nrf2 signaling pathway as a target for the treatment of DN. The aim is to provide reference for the development and promotion of new drugs in clinical practice and promote the innovation and development of the treatment methods for DN in the future.

Objective To verify the predictive performance of the population pharmacokinetic(PPK)model of lacosamide in children reported abroad using real-world case data,the exposure-response relationship was analyzed,and the optimal dosing regimen was simulated.Methods The plasma concentration data and clinical data of 64 children with epilepsy aged 4-13.42 years after oral administration of lacosamide reached a steady state were collected,and the prediction accuracy of foreign models was investigated by goodness-of-fit diagram and intuitive prediction test.The relationship between the daily dose or trough concentration of lacosamide and the clinical efficacy was analyzed,and Monte Carlo simulation was used to evaluate and screen the optimal dosing regimen of lacosamide for different body weight stratification and combinations based on pharmacokinetic parameters.Results The external validation results show that the prediction accuracy of the PPK model for children abroad is good.The pharmacokinetic parameters of lacosamide monotherapy in children with epilepsy were as follows:absorption rate constant(ka)=(2.43±0.04)h-1,apparent volume of distribution(Vd/F)=(22.69±6.00)L,clearance rate(CL/F)=(1.25±0.27)L·h-1,half-life(t1/2)=(12.74±2.40)h.The distribution range of 5％-95％quantile of daily dose of clinically effective cases was 2.5-6.3 mg·kg-1·d-1,and the distribution range of 5％-95％of trough concentration was 1.9-6.7 mg·L-1.The simulation results showed that the optimized dosing regimen of lacosamide recommended in this study could increase the probability of drug concentration reaching the target and ensure the efficacy and tolerability of treatment.Conclusions The prediction performance of the PPK model of lacosamide in foreign children was verified,and the optimal dosing regimen was simulated based on this model,which can provide a reference for clinicians to individualize and rationalize the use of drugs.

Objective To identify the taste critical quality attribute and design and optimize the flavor-correcting formulation of the traditional Chinese medicine oral preparation Qingre Jiedu Oral Liquid,in order to improve its taste and enhance patient medication adherence.Methods The taste assignment method was employed to identify the taste critical quality attribute of Qingre Jiedu Oral Liquid.Based on human sensory evaluation and the standardized Euclidean distance in electronic tongue analysis,suitable types of corrigent were determined.Subsequently,under constraints such as maximum allowable dosage,solubility,and sweetness,the optimal taste formulation for the sugar-free intermediate of Qingre Jiedu Oral Liquid was determined using Box-Behnken experimental design combined with electronic tongue and human sensory evaluation results.The study was reviewed and approved by the Ethics Committee of Beijing University of Chinese Medicine(Ethics Approval Number 2020BZYLL0609).Results The quantitative score for bitter taste of Qingre Jiedu Oral Liquid accounted for 30.36%,confirming bitterness as the taste critical quality attribute requiring attention.The optimal taste formulation for the sugar-free intermediate of Qingre Jiedu Oral Liquid was determined to be 120 mg·mL?1 erythritol,12 mg·mL?1 acesulfame potassium,and 2.4 mg·mL?1 stevioside.This formulation achieved an 11.75-point improvement in sensory evaluation scores compared to the original commercially available oral liquid.Conclusion This study successfully improved the taste of Qingre Jiedu Oral Liquid and established a comprehensive strategy for flavor-correcting formulation optimization,including a method for identifying taste critical quality attribute.This strategy provides a referential paradigm for palatability enhancement of similar traditional Chinese medicine oral preparations,laying a crucial technical foundation for elevating the clinical value of Chinese herbal medicines and promoting the high-quality development of traditional Chinese medicine(TCM).

Objective To identify the taste critical quality attribute and design and optimize the flavor-correcting formulation of the traditional Chinese medicine oral preparation Qingre Jiedu Oral Liquid,in order to improve its taste and enhance patient medication adherence.Methods The taste assignment method was employed to identify the taste critical quality attribute of Qingre Jiedu Oral Liquid.Based on human sensory evaluation and the standardized Euclidean distance in electronic tongue analysis,suitable types of corrigent were determined.Subsequently,under constraints such as maximum allowable dosage,solubility,and sweetness,the optimal taste formulation for the sugar-free intermediate of Qingre Jiedu Oral Liquid was determined using Box-Behnken experimental design combined with electronic tongue and human sensory evaluation results.The study was reviewed and approved by the Ethics Committee of Beijing University of Chinese Medicine(Ethics Approval Number 2020BZYLL0609).Results The quantitative score for bitter taste of Qingre Jiedu Oral Liquid accounted for 30.36%,confirming bitterness as the taste critical quality attribute requiring attention.The optimal taste formulation for the sugar-free intermediate of Qingre Jiedu Oral Liquid was determined to be 120 mg·mL?1 erythritol,12 mg·mL?1 acesulfame potassium,and 2.4 mg·mL?1 stevioside.This formulation achieved an 11.75-point improvement in sensory evaluation scores compared to the original commercially available oral liquid.Conclusion This study successfully improved the taste of Qingre Jiedu Oral Liquid and established a comprehensive strategy for flavor-correcting formulation optimization,including a method for identifying taste critical quality attribute.This strategy provides a referential paradigm for palatability enhancement of similar traditional Chinese medicine oral preparations,laying a crucial technical foundation for elevating the clinical value of Chinese herbal medicines and promoting the high-quality development of traditional Chinese medicine(TCM).

Objective To verify the predictive performance of the population pharmacokinetic(PPK)model of lacosamide in children reported abroad using real-world case data,the exposure-response relationship was analyzed,and the optimal dosing regimen was simulated.Methods The plasma concentration data and clinical data of 64 children with epilepsy aged 4-13.42 years after oral administration of lacosamide reached a steady state were collected,and the prediction accuracy of foreign models was investigated by goodness-of-fit diagram and intuitive prediction test.The relationship between the daily dose or trough concentration of lacosamide and the clinical efficacy was analyzed,and Monte Carlo simulation was used to evaluate and screen the optimal dosing regimen of lacosamide for different body weight stratification and combinations based on pharmacokinetic parameters.Results The external validation results show that the prediction accuracy of the PPK model for children abroad is good.The pharmacokinetic parameters of lacosamide monotherapy in children with epilepsy were as follows:absorption rate constant(ka)=(2.43±0.04)h-1,apparent volume of distribution(Vd/F)=(22.69±6.00)L,clearance rate(CL/F)=(1.25±0.27)L·h-1,half-life(t1/2)=(12.74±2.40)h.The distribution range of 5％-95％quantile of daily dose of clinically effective cases was 2.5-6.3 mg·kg-1·d-1,and the distribution range of 5％-95％of trough concentration was 1.9-6.7 mg·L-1.The simulation results showed that the optimized dosing regimen of lacosamide recommended in this study could increase the probability of drug concentration reaching the target and ensure the efficacy and tolerability of treatment.Conclusions The prediction performance of the PPK model of lacosamide in foreign children was verified,and the optimal dosing regimen was simulated based on this model,which can provide a reference for clinicians to individualize and rationalize the use of drugs.

Diabetes mellitus is a metabolic disease characterized by chronic hyperglycemia caused by absolute or relative insufficiency of insulin secretion. As the disease progresses， patients begin to suffer from diabetic nephropathy， diabetic cardiomyopathy， non-alcoholic fatty liver disease or other complications， which increase the burden on the patients. Moreover， the number of patients is increasing， which brings a heavy burden to the society. Ferroptosis is a new type of programmed cell death which has attracted wide attention in recent years. It refers to the cell death caused by the excessive accumulation of lipid peroxide under the overload of iron ions. Studies have discovered that ferroptosis exists in diabetes mellitus and its complications. Inhibiting ferroptosis can greatly slow down the occurrence and progression of diabetes mellitus and its complications. Chinese medicine， the unique medical treasure in China， acts in a multi-pathway， multi-target manner and is praised for the cheap price， low toxicity， and mild side effects. It has been widely used in the treatment of diabetes mellitus and its complications and has demonstrated definite therapeutic effects， bringing the good news for the majority of patients. The regulation of ferroptosis by Chinese medicine may be a new direction for the treatment of diabetes mellitus and its complications in the future. This paper briefly describes the mechanism of ferroptosis， explores the relationship of ferroptosis with diabetes mellitus and its complications， summarizes the research status of Chinese medicine interventions， and puts forward suggestions， aiming to provide a reference for further research on the treatment of diabetes mellitus and its complications with Chinese medicine.