ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

Mucosae are the primary sites of causing infectious diseases in human beings. The high transmissibility and mortality rates of infectious diseases pose a serious threat to human health. Mucosal vaccines, which induce both mucosal and systemic immune responses, have emerged as an effective method for preventing or treating infectious diseases. This paper provides an overview of the structure and response characteristics of the mucosal immune system, as well as adjuvants and delivery vectors in vaccine design. It focuses on the multi-dimensional evaluation system of immunoprotective efficacy,covering key indicators such as antibody response, neutralization ability, antibody affinity and tissue-resident memory cells,providing reference for the future development of more effective mucosal vaccines.

As people’s attention to health continues to increase, the market demand for traditional Chinese medicine (TCM) is growing steadily. The quality and safety of Chinese medicinal materials have attracted unprecedented social attention. In particular, the issue of exogenous harmful residue pollution in TCM has become a hot topic of concern for both regulatory authorities and society. The Chinese Pharmacopoeia 2025 Edition further refines the detection methods and limit standards for exogenous harmful residues in TCM. This not only reflects China’s high-level emphasis on the quality and safety of TCM but also demonstrates the continuous progress made by China in the field of TCM safety supervision. Basis on this study, by systematically reviewing the development history of the detection standards for exogenous harmful residues in TCM and analyzing the revisions and updates of these detection standards in the Chinese Pharmacopoeia 2025 Edition, deeply explores the key points of the changes in the monitoring standards for exogenous harmful residues in TCM in the Chinese Pharmacopoeia 2025 Edition. Moreover, it interprets the future development directions of the detection of exogenous residues in TCM, aiming to provide a reference for the formulation of TCM safety supervision policies.

Background: and Purpose Limited evidence exists on the effectiveness of endovascular treatment (EVT) for acute posterior circulation tandem lesion (PCTL). This study aimed to explore the role of extracranial vertebral artery (VA) stenting in patients with PCTL stroke undergoing EVT. Methods: Individual patient data were pooled from the BASILAR (EVT for Acute Basilar Artery Occlusion Study) and PERSIST (Posterior Circulation Ischemic Stroke) registries. Patients with PCTLs who underwent EVT were included in the present cohort and divided into the stenting and nonstenting groups based on the placement of extracranial VA stents. The primary efficacy outcome was the modified Rankin Scale (mRS) scores at 90 days and 1 year. Safety outcomes included 24-hour symptomatic intracranial hemorrhage (sICH) and all-cause mortality at 90 days and 1 year post-surgery. Results: A combined dataset of 1,320 patients with posterior circulation artery occlusion, including 263 (19.9%) with tandem lesions, of whom 217 (median age, 65 years; 82.9% male) met the inclusion criteria for the analysis. The stenting group had 84 (38.7%) patients, while the non-stenting group had 133 (61.3%). After adjustment for the potential confounders, extracranial VA stenting was associated with favorable shifts in mRS scores at both 90 days (adjusted common odds ratio [OR], 2.30; 95% confidence interval [CI], 1.23–4.28; P<0.01) and 1 year (adjusted OR [aOR], 2.04; 95% CI [1.05–3.97]; P=0.04), along with lower rate of mortality at both 90 days (aOR, 0.45; 95% CI [0.21–0.93]; P=0.01) and 1 year (aOR, 0.36; 95% CI [0.16–0.79]; P=0.01), with no significant difference in sICH incidence (aOR, 0.35; 95% CI [0.06–1.98]; P=0.24). Conclusion Extracranial VA stenting during EVT may improve functional outcomes and reduce mortality in patients with PCTL strokes.

ObjectiveTo observe the effect of Shenshu Fujian decoction on platelet-derived growth factor （PDGF）/naked cuticle homolog 2 （NKD2） /Wnt signaling pathway in rats with chronic renal failure （CRF）. MethodsSixty male SD rats were randomly divided into normal group， model group， Niaoduqing group （5 g·kg^-1）， low-dose Shenshu Fujian decoction group （5.5 g·kg^-1）， medium-dose Shenshu Fujian decoction group （11 g·kg^-1）， and high-dose Shenshu Fujian decoction group （22 g·kg^-1）， with 10 rats in each group. A CRF rat model was established by feeding a 0.5% adenine diet for 21 days. After successful modeling， intragastric administration was given once daily for 28 consecutive days. After treatment， the renal morphology of rats was observed. Serum creatinine （SCr） and blood urea nitrogen （BUN） levels were detected. Hematoxylin-eosin （HE） staining and Masson staining were used to detect renal histopathological changes， and collagen volume fraction （CVF） was calculated. Serum levels of inflammatory markers interleukin （IL）-1β and IL-6 were measured using enzyme-linked immunosorbent assay （ELISA）. The expressions of fibronectin 1 （FN1）， type Ⅰ collagen （ColⅠ）， α-smooth muscle actin （α-SMA）， platelet-derived growth factor receptor-β （PDGFR-β）， NKD2， dishevelled protein 2 （DVL2） and β-catenin in renal tissue were detected by immunohistochemistry and Western blot. ResultsCompared with the normal group， the model group showed significant renal pathological changes， a markedly increased kidney weight/body weight ratio （P<0.01）， significantly elevated CVF （P<0.01）， and notably increased serum levels of SCr， BUN， IL-1β， and IL-6 （P<0.01）. Expression levels of FN1， ColⅠ， α-SMA， PDGFR-β， NKD2， DVL2， and β-catenin in renal tissue were also significantly increased （P<0.01）. Compared with the model group， all treatment groups showed significantly decreased kidney weight/body weight ratios and CVF （P<0.01）， as well as markedly decreased serum SCr， BUN， IL-1β， and IL-6 levels. Protein expression levels of FN1， ColⅠ， α-SMA， PDGFR-β， NKD2， DVL2， and β-catenin in renal tissue were decreased， with more pronounced effects observed in the Niaoduqing， medium-dose， and high-dose Shenshu Fujian decoction groups （P<0.05， P<0.01）. ConclusionShenshu Fujian decoction improves renal function， reduces inflammation， and reverses renal fibrosis in CRF rats， possibly by downregulating the expression of PDGF/NKD2/Wnt signaling pathway-related proteins.

Objective: To investigate the mental health status and related factors among primary and secondary school students in western Yunnan Province, so ao to provide scientific evidences for advancing mental health education. Methods: In June 2024, a stratified cluster sampling method was employed to select 4 584 students from 18 schools across Diqing Tibetan Autonomous Prefecture, Lincang City and Baoshan City three regions in western Yunnan Province. The Mental Health Test (MHT) was used for assessment. Latent class analysis (LCA) and Logistic regression were applied for data classification and related factor analysis respectively. Results: The overall positive detection rate of MHT was 11.81%, with a mean total score of 40.50±19.25. The predominant issues were learning anxiety (58.4%), hypersensitivity tendency (31.1%), and self blame tendency (23.1%). LCA categorized students into four groups:severe psychological problems group (74.4% detection rate), learning anxiety hypersensitivity group ( 16.4 %), learning anxiety physical symptoms group (9.2%), and healthy group (0). Logistic regression revealed that compared with the healthy group, the severe problems group showed higher risks among females ( OR =3.01), junior/senior high school students ( OR =1.88/4.02), and those with authoritarian parenting ( OR =3.54); the anxiety hypersensitivity group had higher risks for females ( OR =1.87), senior high students ( OR =1.54), boarders ( OR =1.31), and authoritarian parenting recipients ( OR = 1.85 ); the anxiety physical symptoms group demonstrated increased risks among females ( OR =2.22), senior high students ( OR =2.58), and authoritarian parenting recipients ( OR =2.74), while lower risks were observed for students with parent/grandparent guardians ( OR =0.38) and non only children ( OR =0.58) (all P <0.05). Conclusions Mental health problems are prominent among students in western Yunnan, with gender, grade level, boarding status, guardian type, and parenting style being key determinants. Recommendations include strengthening mental health education, prioritizing left behind children s psychological well being and promoting healthy development.

Background Prenatal chronic psychological stress may increase the risk of allergic diseases in children, and eczema is the most common allergic disease in children, the pathogenesis of which is not yet fully understood. Objective To preliminarily clarify the changes in offspring intestinal flora after chronic stress exposure during pregnancy in rats that increases offspring immune imbalance and eczema susceptibility. Methods Thirty SPF-grade adult female SD rats were selected and randomly divided into a model group and a control group (n=15). Sixteen male rats were randomly divided into a model mating group and a control mating group (n=8). A 28-day chronic unpredictable mild stress (CUMS) model during pregnancy was established. On the 7th day of stress, male and female rats were caged in a ratio of 3:1. Blood samples were collected from female rats in each group via angular vein on the 1st day before stress, and on the 7th, 14th, 21st, and 28th days after stress. The content of plasma corticosterone during pregnancy was determined by enzyme-linked immunosorbent assay (ELISA). For the offspring rats, an eczema model was constructed using 2,4-dinitrochlorobenzene (DNCB). The number of scratching times of the offspring rats within 5 min was recorded. The offspring rats were divided into 4 groups: DNCB-CUMS group (MM), DNCB-control group (MC), solvent control-CUMS group (CM), and blank control group (CC), with 8 rats in each group. The eczema was induced once every 3 days, and the induction period was 12 d. The expression level of immunoglobulin E (IgE) in the serum of offspring rats after the eczema induction experiment were determined by ELISA. The concentrations of tumor necrosis factor-α (TNF-α), interferon-γ (IFN-γ), interleukin-2 (IL-2), interleukin-4 (IL-4), and interleukin-13 (IL-13) in the serum were quantified by multi-parameter flow cytometry. The composition and abundance of intestinal microbiota in the feces of offspring rats were detected by 16S rRNA high-throughput sequencing technology. Results The plasma corticosterone concentrations in the model group were higher than those in the control group on the 7th and 21st days of stress (P<0.05). On the 14th and 21st days of stress, the 1% sucrose preference percentages of female rats in the model group were lower than that in the control group. On the 7th, 14th, and 21st days of stress, the horizontal movement scores of female rats in the model group and the vertical movement scores on the 7th and 14th days were lower than those in the control group (P<0.05). After 6, 9, and 12 d of model building, the scratching frequencies in the MC group and MM group were significantly higher than those in the CC group and CM group (P<0.05). Moreover, there were differences in the contents of cytokines including IFN-γ, IL-2, TNF-α, IL-4, IL-13, and IgE among the offspring rat groups (P<0.05). The CM group and MM group led to an increase in the contents of TNF-α, IL-4, IL-13, and IgE cytokines (P<0.05), while the MM group caused a decrease in the contents of IFN-γ and IL-2 (P<0.05). After the eczema induction experiment, the α-diversity analysis showed that the Simpson index and Shannon index in the CM were higher than those in the CC (P<0.05), indicating that CUMS during the pregnancy of female rats could increase the species abundance of their offspring. The abundances of Prevotella and Lactobacillus in the CM group decreased (P<0.05). Conclusion Intestinal dysbiosis in offspring due to chronic prenatal psychological stress, which may be one of the mechanisms linking maternal stress to immune imbalance and increased susceptibility to eczema in offspring.

ObjectiveTo investigate the incidence rate of post-endoscopic retrograde cholangiopancreatography （ERCP） pancreatitis （PEP） in patients with difficult common bile duct intubation undergoing pancreatic duct stenting during surgery， as well as the effect of pancreatic duct stenting in the prevention and treatment of PEP， and to provide a basis for clinical treatment. MethodsA retrospective analysis was performed for the clinical data of 186 patients with biliary tract disease who underwent initial ERCP and had difficult common bile duct intubation in The First Affiliated Hospital of Zhengzhou University from January 2016 to December 2024， and according to the condition of pancreatic duct stenting， the patients were divided into control group with 73 patients （without pancreatic duct stenting）， 5Fr-5 cm stent group with 67 patients， and 7Fr-5 cm stent group with 46 patients. The three groups were compared in terms of baseline data， intraoperative procedures， and postoperative outcomes. A one-way analysis of variance was used for comparison of normally distributed continuous data between multiple groups， and the least significant difference t-test was used for further comparison between two groups； the Kruskal-Wallis H rank sum test was used for comparison of non-normally distributed continuous data between multiple groups， and the Dunn method was used for further comparison between two groups； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups. The Logistic regression analysis was used to investigate the influencing factors for PEP in patients with difficult intubation during ERCP. ResultsThe overall incidence rate of PEP was 12.37% （23/186）. Compared with the 5Fr-5 cm stent group and the 7Fr-5 cm stent group， the control group had a significantly higher incidence rate of PEP， a significantly higher score of postoperative abdominal pain， and a significantly longer length of postoperative hospital stay （all P0.01）， and 55.56% of the patients in the control group had moderate-to-severe PEP. The univariate Logistic regression analysis showed that intradiverticular papilla， double guide wire intubation， needle knife precut， the application of basket and balloon for removal of common bile duct stones， intraoperative biopsy， pancreatic duct stenting， intubation time≤10 minutes， frequency of intubation≤5 times， preoperative CRP≤5 mg/L were influencing factors for PEP （all P0.05）， and the multivariate Logistic regression analysis showed that intraoperative pancreatic duct stenting， needle knife precut， and intraoperative biopsy were independent influencing factors for the onset of PEP （all P0.05）. ConclusionPancreatic duct stenting during ERCP can effectively reduce the risk of PEP in patients with difficult intubation， while needle knife precut and intraoperative biopsy can increase the risk of PEP in patients with difficult intubation.

Objective To explore the value of CT signs and quantitative parameters of artificial intelligence (AI) in predicting the efficacy of neoadjuvant chemotherapy for colorectal cancer. Methods A total of 349 colorectal cancer patients who received neoadjuvant chemotherapy at Cangzhou Hospital of Integrated Traditional Chinese and Western Medicine in Hebei Province from January 2022 to January 2025 were selected and and divided into the effective group (n = 267) and the ineffective group (n = 82) according to the evaluation criteria for the efficacy of solid tumors. Conduct a CT examination and extract AI quantitative parameters from the CT images based on the lesion. The data were analyzed using SPSS21.0 software, Logistic regression was used to screen the influencing factors of ineffective neoadjuvant chemotherapy in patients with colorectal cancer, and separate and combined models of CT signs and AI quantitative parameters were established. The predictive effect of the model was verified by using the ROC curve, calibration curve and decision curve. Results Compared with the effective group, the proportion of regular tumor morphology and the proportion of non-enlarged lymph nodesin the ineffective group were smaller. The tumor volume, peak value and entropy value were larger (P < 0.05). Multivariable analysis showed that irregular shape (OR= 4.216), presence of lymph node enlargement (OR = 8.998), larger tumor volume (OR = 1.109), higher average CT value (OR = 1.120), elevated peak value (OR = 2.528), and increased entropy value (OR = 1.390) were independent risk factors for ineffective neoadjuvant chemotherapy in colorectal cancer (P < 0.05). The areas under the ROC curves of the individual and combined models of CT signs and AI quantitative parameters were 0.777, 0.818, and 0.877, respectively(P < 0.05). The calibration curve showed a Brier score of 0.091. The decision curve showed that the threshold was between 0.10 and 0.85, and the combined model achieved a relatively high net clinical benefit. Conclusion CT signs combined with AI quantitative parameters has a predictive value for the efficacy of neoadjuvant chemotherapy in colorectal cancer. To provide evidence-based basis for clinical screening of the population benefiting from chemotherapy and optimization of treatment strategies.