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.

OBJECTIVE To investigate the effect and mechanism of modified Lichong decoction （MLCD） on the apoptosis of transplanted tumor cells in nude mice. METHODS Human gastric cancer AGS cells were cultured， and a nude mice transplanted tumor model was established. The nude mice were divided into the model group and MLCD low-， medium- and high-dose groups （150， 300， 600 mg/kg）. They were given distilled water or the corresponding drug solution by gavage once daily for four consecutive weeks. The size of transplanted tumors in nude mice was measured every six days， and the tumor volume was calculated. After the medication， the nude mice were sacrificed， and the transplanted tumor tissues were isolated. The contents of lactate dehydrogenase （LDH） and reactive oxygen species （ROS） in the transplanted tumor tissues were detected， and the changes in mitochondrial membrane potential were assessed. The pathological morphological changes were observed. The enzymatic activities of caspase-3， caspase-8， and caspase-9， as well as protein expressions of Fas and FasL and mRNA expressions of caspase-3， caspase-8， caspase-9， Fas and FasL in the transplanted tumor tissues， were detected. RESULTS Compared with the model group， the volume of transplanted tumors in nude mice from all MLCD dose groups was reduced to varying degrees. The contents of LDH and ROS， as well as the enzymatic activities of caspase-3， caspase-8 and caspase-9， were significantly increased/enhanced. The mitochondrial membrane potential was significantly decreased. The protein expressions of Fas and FasL， and the mRNA expressions of caspase-3， caspase-8， caspase-9， Fas and FasL were significantly up-regulated. Most of these differences were statistically significant （ P ＜0.05 or P ＜0.01）. Pathological results showed that with increasing doses of MLCD， the cellular density in the transplanted tumor tissues gradually decreased， and typical morphological features of apoptosis， such as loosening and increasing fragmentation， became more prominent. CONCLUSIONS MLCD can induce apoptosis in transplanted tumor cells of nude mice， and its mechanism may be related to the activation of the Fas/FasL pathway and the caspase apoptotic pathway.

ObjectiveTo investigate the possible mechanism of Jishe Qushi Capsule （脊蛇祛湿胶囊， JQC） in treating rheumatoid arthritis （RA） from the perspective of macrophage polarization mediated by neutrophil extracellular traps （NETs）. MethodsTwenty-four female SD rats were randomly divided into four groups， blank control group， model group， JQC group， and peptidylarginine deiminase 4 （PAD4） inhibitor group with 6 rats in each group. All groups but the blank control group were subjected to the induction of collagen-induced arthritis （CIA）. After successful model establishment， rats in the JQC group received intragastric administration of JQC 1.47 g/kg daily； rats in the PAD4 inhibitor group received intraperitoneal injections of the PAD4 inhibitor 4 mg/kg weekly. Rats in the blank， model， and PAD4 inhibitor groups received 2 ml of pure water daily by gavage. All treatments lasted 4 weeks. Joint lesions of each group were assessed on day 7， 14， 21， 28， and 35 after model establishment， and arthritis index （AI） scores were recorded. At 24 h after the final administration， histopathology of knee joints， including HE staining， safranin O-fast green staining， and TRAP staining， was performed. Flow cytometry was used to detect the counts of M1 and M2 macrophages in peripheral blood. ELISA was used to determine serum levels of TRACP， NETs， TNF-α， IL-1β， and iNOS. Western Blotting and qRT-PCR were used to measure MPO， NE， RANKL， OPG， and p65 protein and mRNA expression in knee cartilage tissue. ResultsCompared with the blank control group， the model group showed increased AI scores （P＜0.05）， marked synovial inflammatory infiltration， angiogenesis， and bone-cartilage destruction， increased TRAP-positive osteoclasts， increased M1 macrophages and decreased M2 macrophages， elevated serum TRACP， NETs， TNF-α， IL-1β， and iNOS （P＜0.05）， elevated MPO， NE， RANKL， and p65 protein/mRNA expression and decreased OPG protein/mRNA expression in knee cartilage tissue （P＜0.05）. Compared with the model group， the JQC group exhibited improved synovial inflammation， angiogenesis， and bone-cartilage damage， reduced AI scores on day 21， 28， and 35， decreased osteoclast counts， decreased M1 macrophages and increased M2 macrophages， reduced serum TRACP， NETs， TNF-α， IL-1β， and iNOS （P＜0.05）， decreased MPO， NE， RANKL， and p65 protein/mRNA expression and increased OPG expression （P＜0.05）. Compared with the PAD4 inhibitor group， the JQC group showed significantly lower AI scores， reduced M1 macrophages， increased M2 macrophages （P＜0.05）， reduced serum TRACP， TNF-α， IL-1β， and iNOS， decreased MPO， RANKL， and p65 expression， and increased OPG levels （P＜0.05）. ConclusionThe therapeutic mechanism of JQC for RA may involve inhibition of NETs formation， downregulation of the RANKL/NF-κB signaling pathway， and regulation of macrophage M1/M2 polarization imbalance， thereby suppressing osteoclastogenesis and inflammatory bone destruction.

ObjectiveTo systematically screen and validate key immunogenic cell death （ICD）-related genes that play important roles in primary sjögren’s syndrome （pSS） using multi-omics data. MethodsGene expression profiles of pSS patients and healthy controls （GSE66795， 131pSS patients/29 healthy controls） were obtained from the Gene Expression Omnibus （GEO） database. Candidate genes were selected by intersecting these profiles with known ICD core gene sets and pSS-related targets. The CIBERSORT algorithm was used to analyze immune cell infiltration characteristics. Validation of gene expression was performed using transcriptomic data from sorted CD8⁺ T cell subsets （GSE93683）. Finally， labial gland tissues and peripheral blood samples from 10 pSS patients and 4 healthy controls were collected， and key genes were experimentally validated by reverse transcription quantitative polymerase chain reaction （RT-qPCR）. ResultsSeven intersecting genes from the ICD-differentially expressed genes （DEGs）-pSS intersection were identified ［caspase 1 （CASP1）， forkhead box P3 （FOXP3）， interferon-gamma （IFNG）， myeloid differentiation primary response 88 （MYD88）， toll-like receptor 7 （TLR7）， DExD/H-box helicase 58 （DDX58）， and interferon induced helicase C domain 1 （IFIH1）］. Immune infiltration analysis showed that in pSS labial gland tissues， the proportions of naïve B cells and dendritic cells significantly increased， while the proportions of resting NK cells and M0 macrophages decreased （P<0.05）. Transcriptomic data of CD8⁺T cell subsets indicated that IFIH1 expression was significantly elevated in central memory CD8⁺T cells （P<0.05）. RT-qPCR experimental validation revealed that DDX58， IFIH1， and CASP1 were significantly upregulated in both peripheral blood leukocytes and labial gland tissues of pSS patients （all P<0.05）， whereas IFNG expression increased in peripheral blood but decreased in labial gland tissues （P<0.05）. ConclusionThis study identified and confirmed DDX58， IFIH1， CASP1， and IFNG as key ICD-related genes in pSS through a combination of bioinformatics and experimental validation， providing new candidate targets for further understanding the immunopathological mechanisms of pSS.

Objective: To evaluate oral health status and knowledge, attitude and practice (KAP) among third grade primary school students after the implementation of the Comprehensive Intervention Project for Childhood Oral Diseases in Guizhou Province, so as to provide evidence for program optimization. Methods: Using a multistage cluster sampling method, oral examinations and questionnaire surveys were conducted among third grade primary school students in schools covered by the Comprehensive Intervention Project for Childhood Oral Diseases in Guizhou Province (intervention group, n =1 030) and schools not covered by the program (control group， n =1 130) in November 2023. A follow up survey was conducted one year after the project s implementation (December 2024) to evaluate the differences in oral health status and KAP between the two groups. The t-test and χ 2 test were used to compare means and rates, respectively. Results: One year after implementation, the permanent caries prevalence, caries filling ratio, mean dmft/DMFT, and mean simplified debris index in the intervention group were 33.3%, 22.3 %, 3.44±3.10, 0.77±0.56, which were all better than those in the control group (39.8%, 17.3%, 3.89±2.85, and 0.87± 0.63 ) ( χ 2/ t =9.87, 8.78, -2.59, -3.91,all P <0.05). After intervention, the levels of oral health knowledge, attitude and behaviors in the intervention group were better than those in the control group ( Z =7.69, 2.35, 2.10, all P <0.05). Except for the item "fluoride has no protective effect on teeth", the correct response rates of other oral health knowledge items in the intervention group were higher than those in the control group ( χ 2=3.92-163.94, all P <0.05). The reported rates of tooth brushing related behaviors and sugary beverage consumption were higher in the intervention group than in the control group ( χ 2=4.02-11.42，all P <0.05). Conclusions The Comprehensive Intervention Project for Childhood Oral Diseases improves children s oral health status, oral health knowledge, and some oral health behaviors, but has limited effects on some behaviors and oral health attitudes. Future efforts should focus on the factors influencing the transformation of children s oral health attitudes and behaviors, along with strengthening long term follow up evaluations.

Objective : To investigate the mechanism of puerarin in the treatment of rheumatoid arthritis(RA) by network pharmacology and animal experiments. Methods : Traditional Chinese Medicine Systems Pharmcolog Database(TCMSP) and SwissTargetPrediction database were used to collect puerarin targets, and the targets of RA were obtained from GeneCards database and OMIM database. The PPI network was established by Cytoscape 3.7.2 software. Gene ontology(GO) function and Kyotoencyclopedia of genes(KEGG) enrichment analysis were performed through the Metascape database. RA rat-collagen-induced arthritis(CIA) model was reproduced using type Ⅱ collagen emulsion, 49 Wistar rats were randomly assigned to seven groups: control group, CIA model group, low-dose, medium-dose and high-dose puerarin group, methotrexate group, Tripterysium Glycosides Tablets group. Except for the control group, the other groups were given continuous gavage for 28 days after the CIA in rats model were prepared. The redness and swelling of the joints and ankle joint pathological changes were observed in each group. Western blot was used to detect the expression of Glycogen synthase kinase3β(GSK-3β), beta-catenin(β-catenin) proteins in the synovium. Real-time quantitative polymerase chain reaction(qPCR) was used to detect the expression of GSK-3β, β-catenin and c-Myc mRNA in the synovium. Results : Puerarin had 134 targets genes, RA had 5 821 target genes, and there were 102 overlapping target genes of puerarin and RA. It involved 184 signaling pathways, including JAK-STAT signaling pathway, NF-κB signaling pathway, Wnt signaling pathway, et al. The results of animal experiments showed that after the intervention of M-puerarin and MTX, the symptoms of redness and swelling of the hind foot were alleviated, the inflammatory cell infiltration in the synovium of the joint was significantly reduced, and the damage of cartilage and bone tissue was reduced. Compared with CIA group, the expressions of GSK-3β, β-catenin protein and GSK-3β, β-catenin and c-Myc mRNA in synovial tissue of rats after M-puerarin intervention decreased(P<0.05). Conclusion Puerarin has the characteristic of multi-components, multi-targets and multi-pathway intervention in RA. Puerarin may alleviate synovial hyperplasia, reduce articular cartilage erosion and bone destruction in CIA in rats by inhibiting Wnt/β-catenin signaling pathway.

This article systematically analyzes the historical evolution of the name， medicinal parts， origin， harvesting， processing and other aspects of Houttuyniae Herba（HH） by referring to the medical books， prescription books and other documents of the past dynasties， combined with the research materials related to modern and contemporary times， in order to provide a basis for the development of famous classical formulas containing this herb. In ancient literature， HH was often referred to as "Ji" and "Jicai"， the name of "Ji" was first recorded in Mingyi Bielu during the Han and Wei dynasties， and the name of Yuxingcao was first seen in Lyuchanyan Bencao during the southern Song dynasty and has continued to this day. The origin of HH used throughout history is consistent， all of which are the whole herb or aboveground parts of Houttuynia cordata in Saururaceae family. HH recorded throughout history has a wide range of production areas， mostly self-produced self-marketing. In ancient times， fresh HH was often used as medicine by pounding its juice without involving any processing steps. Both fresh and dried products can be used as medicine， the fresh products uses the whole plant， while the dried products uses the aboveground parts， which are cleaned， selected and processed before use. Fresh products are harvested regardless of season， while dried products are harvested in both summer and autumn， with summer as the best. In ancient times， there were no specific requirements for the quality of HH， while in modern times， "intact stems and leaves with a strong fishy smell" are preferred. In addition， the medicinal properties of HH have undergone significant changes from ancient to modern times. In the early period， it was believed that its medicinal property was slightly warm， until the 1977 edition of Chinese Pharmacopoeia officially changed it to slightly cold. Both ancient and modern literature states that HH can be used for the treatment of carbuncle and malignant sores， Lyuchanyan Bencao for the first time introduced HH fresh juice can relieve summer heat， since Diannan Bencao recorded that it can be used for lung carbuncle， and gradually developed into the first choice for the treatment of lung carbuncle. Based on the research results， it is suggested that fresh herb or dried aboveground parts of H. cordata are used as medicine when developing famous classical formulas.

ObjectiveTo explore the potential mechanisms of Leigongteng （Tripterygium wilfordii Hook. f.） in treating rheumatoid arthritis （RA） using bioinformatics analysis and experimental validation. MethodsBioinformatics approaches， including the Gene Expression Omnibus （GEO）， the traditional Chinese medicine Systems Pharmacology Database and Analysis Platform （TCMSP）， Gene Ontology （GO） enrichment analysis， Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment， protein-protein interaction （PPI） network analysis， molecular docking， receiver operating characteristic （ROC） analysis， and immune infiltration analysis， were used to predict the key active components of Leigongteng and its target genes for RA treatment. Experimental validation was conducted using human rheumatoid arthritis fibroblast-like synoviocytes （HFLS-RA） in vitro， with methotrexate as the positive control. A scratch assay was performed to assess cell migration after 24 hours of culture. Western blotting was used to detect protein expression levels， qPCR was used to measure target gene mRNA levels， and ELISA was conducted to evaluate inflammatory cytokine levels， including interleukin-1β （IL-1β）， interleukin-6 （IL-6）， interleukin-10 （IL-10）， and tumor necrosis factor-α （TNF-α）. ResultsA total of 117 target genes of Leigongteng were identified and intersected with RA-related genes， yielding 55 key genes. Further screening identified three core genes： PTGS2， CXCR4， and TIMP1. Based on the correspondence between potential drug targets and key components， triptolide and nobiletin were identified as the primary active compounds. Molecular docking results showed that both triptolide and nobiletin had binding energies lower than -5 kcal/mol with their respective target proteins， indicating strong interactions. In vitro experiments demonstrated that， compared with the blank control group， the triptolide， nobiletin， and positive control groups exhibited reduced cell migration rates after 24 hours of culture （P＜0.01）. The expression levels of PTGS2 and CXCR4 （both mRNA and protein） were significantly downregulated， while TIMP1 expression was upregulated. Levels of IL-1β， IL-6， and TNF-α decreased， whereas IL-10 levels increased （P＜0.01）. Compared with the positive control group， the triptolide and nobiletin groups showed increased cell migration rates， upregulated PTGS2 and CXCR4 expression （mRNA and protein）， downregulated TIMP1 expression （mRNA and protein）， increased IL-1β， IL-6， and TNF-α levels， and decreased IL-10 levels （P＜0.05 or P＜0.01）. ConclusionThe key active components of Leigongteng， triptolide and nobiletin， may alleviate RA by inhibiting PTGS2 and CXCR4 while promoting TIMP1 expression， thereby suppressing inflammatory responses.

Objective To understand the status of quality control in occupational medical examination (OME) institutions in Guizhou Province. Methods A total of 124 registered OME institutions actively conducting OME in Guizhou Province were selected as the study subjects using the judgment sampling method. The evaluation was conducted by on-site document reviews, practical skill assessments, and investigation of OME practices for quality evaluation and analyzing their quality control performance. Results The public institutions accounted for 71.0% with a 41.5% of OME workload, while private institutions accounted for 29.0% with a 58.5% of OME workload among these 124 OME institutions. The overall pass rate for quality evaluation of OME institutions was 16.9% (21/124), with a total of 1 296 items failed to pass the quality evaluation. Among the unqualified items, organizational structure, quality control management systems, OME quality control, and information reporting accounted for 15.2%, 21.7%, 52.8%, and 10.3%, respectively. The unqualified rate of quality assessment items of OME institutions was 24.5% (1 296/5 288), and the unqualified rate was lower in public institutions compared with private institutions (22.4% vs 29.3%, P<0.01). The rates of the three key unqualified items, including chest radiography conclusion evaluation, audiogram calculation and conclusion evaluation, and blood lead comparison were 9.8%, 74.8% and 71.4%, respectively. The rates of unqualified audiometry operation test and chief physician theory test were 74.8% and 9.7%, respectively. Conclusion The quality of OME institutions in Guizhou Province requires continuous improvement, particularly in enhancing the abilities of audiometry operation, calculating audiogram results and conducing right conclusion, and blood lead inter-laboratory comparision.