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.

ObjectiveTo study the mechanism of compound Xishu granules （CXG） in inhibiting the proliferation of hepatocellular carcinoma cells by regulating ferroptosis. MethodsThe transplanted tumor model of human Huh7 was established with nude mice and the successfully modeled mice were randomized into model， Fufang Banmao （0.21 g·kg^-1）， low-dose （1.87 g·kg^-1） CXG， medium-dose （3.74 g·kg^-1） CXG， and high-dose （7.49 g·kg^-1） CXG groups. Mice were administrated with drinking water or CXG for 28 days， and the body weight and tumor volume were measured every 4 days. Hematoxylin-eosin staining was employed to observe the histopathological changes of tumors. The cell-counting kit-8 （CCK-8） was used to examine the survival rate of Huh7 cells treated with different concentrations （0， 31.25， 62.5， 125， 250， 500， 1 000 mg·L^-1） of CXG for 24 h and 48 h. CA-AM， DCFH-DA， and C11-BODIPY^581/591 fluorescent probes were used to determine the intracellular levels of ferrous ion （Fe²⁺）， reactive oxygen species （ROS）， and lipid peroxide （LPO）， respectively. The colorimetric method was employed to measure the levels of glutathione （GSH） and superoxide dismutase （SOD）. Western blot was employed to determine the protein levels of glutathione peroxidase 4 （GPX4）， transferrin receptor 1 （TFR1）， and ferritin heavy chain 1 （FTH1）， respectively. ResultsIn the animal experiment， compared with the model group， the drug treatment groups showed reductions in the tumor volume from day 12 （P<0.01）. After treatment， the Fufang Banmao and low-， medium-， and high-dose CXG groups had lower tumor volume， relative tumor volume， and tumor weight than the model group （P<0.05）， with tumor inhibition rates of 48.99%， 79.93%， 91.38%， and 97.36%， respectively. Moreover， the CXG groups had lower tumor volume and relative tumor volume （P<0.05 in all the three dose groups） and lower tumor weight （P<0.05 in medium-dose and high-dose groups） than the Fufang Banmao group. Compared with the model group， the drug treatment groups showed reduced number of tumor cells， necrotic foci with karyopyknosis， nuclear fragmentation， and nucleolysis， and the high-dose CXG group showed an increase in the proportion of interstitial fibroblasts. In the cell experiment， compared with the blank group， CXG reduced the survival rate of Huh7 cells in a dose-dependent manner after incubation for 24 h and 48 h （P<0.05）. Compared with the blank group， the RSL3 group and the low-， medium-， and high-dose CXG groups showed a decrease in the relative fluorescence intensity of CA-AM and increases in the fluorescence intensity of DCFH-DA and fluorescence ratio of C11-BODIPY^581/591， which indicated elevations in the levels of Fe²⁺ （P<0.01）， ROS （P<0.05）， and LPO （P<0.01）， respectively. Compared with the blank group， the RSL3 and low-， medium-， and high-dose CXG groups showed lowered levels of GSH and SOD （P<0.05）. In addition， the RSL3 group and the medium- and high-dose CXG groups showed down-regulated expression of GPX4 and FTH1 （P<0.05）， and the low- and high-dose CXG groups presented up-regulated expression of TFR1 （P<0.05）. ConclusionCXG suppresses the proliferation of hepatocellular carcinoma cells by inducing ferroptosis via downregulating the GSH-GPX4 signaling axis and increasing intracellular Fe²⁺and LPO levels.

Given the current ethical issues such as unknown high risks in the clinical application of new biomedical technology， thus， medical institutions need to establish new technology management systems， including clarifying the concept， the assessment and admission mechanism， and ethical management systems of new technology. According to the direction of the development of new technology in the medical institution， the ethics review committee should also perfect the management system of ethics committees and the professional composition of ethics review committee members， improve the ability of ethics committee members to evaluate new biomedical technology， increase the assessment of ethical risks of new technology in the preliminary review stage， strengthen the requirements for emergency plan formulation， as well as set the frequency of the follow-up review based on the risk level of new technology. The ethics review committee should work together with the medical management department to formulate an ethical standardization training system for the clinical application of medical technology in the institution， and regularly conduct training for all staff， to promote medical workers’ understanding of the management requirements of biomedical technologies. Different types of new biomedical technology have different ethical risks. Therefore， the medical management departments and ethics review committees of medical institutions should formulate specific management rules based on the characteristics of new technology types. However， it should be noted that when new biomedical technology generally is first introduced into clinical practice， there are often issues regarding fairness and justice in the use of the technology.

Objective To investigate the therapeutic mechanism of Sangma Zhike Formula(SMZKF)for relieving cough sensitivity and airway inflammation in rats with postinfectious cough(PIC).Methods Male SD rat models were established by cigarette smoke exposure with intranasal LPS instillation and capsaicin aerosol inhalation.From day 19 following the start of PIC modeling,the rats received daily treatment with saline(model group),low-,medium-,and high-dose SMZKF,and compound methoxyphenamine(ASM)via gavage for 10 consecutive days(n=8).The assessments included behavioral changes,cough sensitivity(latency and frequency),lung histopathology,inflammatory cell counts and cytokine/mediator levels in the bronchoalveolar lavage fluid(BALF),oxidative stress markers in the lung tissue,and expressions of proteins related with cough hypersensitivity and pyroptosis.Results The rat models of PIC exhibited reduced mental alertness,accelerated respiration,and pronounced symptoms such as coughing,sneezing,and facial scratching with significantly shortened cough latency and increased 5-min cough frequency.Histopathological analysis revealed collapsed alveolar structures,thickened alveolar septa,and extensive inflammatory cell infiltration in the bronchi and peribronchial regions,accompanied by elevated bronchial and alveolar inflammation scores of the rat models.In the BALF,inflammatory cell counts and the levels of IL-1β,TNF-α,IL-6,COX-2,PGE-2,and TXA-2 were all markedly elevated,and the pulmonary oxidative stress markers(ROS and MDA)and myeloperoxidase(MPO)activity were also significantly increased.The pulmonary expressions of cough hypersensitivity-related proteins(TRPV1,SP,CGRP,and NK1R)and pyroptosis-associated markers(P-NF-κB,NLRP3,ACS,cleaved caspase-1,cleaved IL-1β,and GSDMD-N)were significantly upregulated in the model group.SMZKF interventions significantly ameliorated these pathological changes in the rat models,and high-dose SMZKF produced a similar therapeutic efficacy to that of ASM.Conclusion SMZKF alleviates cough sensitivity and airway inflammation in PIC rats possibly by inhibiting TRPV1-mediated SP/NK1R signaling and the NLRP3/caspase-1/GSDMD pyroptosis pathway.

Objective:To investigate the relationship between the changes in extracellular vesicles (EVs) size distribution before and after cardiopulmonary bypass (CPB) cardiac surgery and postoperative coagulation function.Methods:A total of 103 patients undergoing cardiac surgery with CPB were enrolled. Venous blood samples were collected at preoperation, postoperative 12 h and 3 days. Additionally, 50 age- and gender-matched healthy volunteers served as a control group. EVs were isolated using gradient centrifugation, and their size distribution was assessed by dynamic light scattering (DLS). The relationship between EV size characteristics, including peak diameter, peak height, and interquartile range( IQR), and postoperative coagulation function was analyzed. Results:Compared to patients with normal postoperative coagulation function, those with postoperative coagulation dysfunction had lower size at peak and IQR, and significantly higher peak intensity. Logistic regression analysis indicated that elevated peak intensity and lower size at peak and IQR were risk factors for coagulation dysfunction. The area under the curve ( AUC) for diagnosing coagulation dysfunction with 12 h postoperative EVs peak intensity was 0.76, with a positive predictive value of 85% at the optimal cutoff of 8.2; the AUC for IQR was 0.84, with a sensitivity of 83%, specificity of 82%, and negative predictive value of 86% at the optimal cutoff of 125.05 nm. Conclusion:The size distribution of circulating EVs show a correlation with coagulation function after cardiac surgery with CPB and may serve as a novel biomarker to predict postoperative coagulation dysfunction.

OBJECTIVE To establish refined medication rules for parenteral nutrition （PN） and evaluate its effectiveness. METHODS Refined medication rules for PN were constructed based on drug instructions， relevant guidelines， and expert consensus. Through the pre-approval review system of prescription automatic screening system （PASS）， PN prescription information for inpatients from January to December 2024 （referred to as “post-intervention”） was collected to analyze the post- intervention prescription review status. PN prescription information for inpatients at our hospital from January to December 2023 and January to December 2024 was collected through the medical order review system to evaluate the rationality rates of PN prescriptions. RESULTS The established refined medication rules for PN included system module rules （including nutrients， drug compatibility， PN concentration and osmotic pressure） and custom review rules （covering off-label drug use， drug compatibility， and other drug use conditions）. As of December 2024， the PASS pre-approval review system had established a total of 102 rules， comprising 55 system module rules and 47 custom review rules for PN. After intervention， when comparing with the first quarter of 2024， the number of PN reviewed and intervened by pharmacists decreased， the pharmacist intervention rate dropped， while the rate of physician modifications following pharmacist intervention increased in the fourth quarter. The primary types of irrational prescriptions identified by the system module rules were irrational PN concentration and osmotic pressure. The primary types of irrational prescriptions identified by the custom review rules were off-label drug use （specifically indications for amino acids） and irrational drug incompatibility. In 2024， the number of false-positive tasks and the false-positive rate initially increased and then decreased， while both the number of irrational prescriptions identified through manual review and the false-negative rate showed a declining trend. In 2024， the overall rationality rate after manual review PN refined medication rules for PN medical order review system significantly increased compared to that in 2023 （P＜0.01）. CONCLUSIONS The refined medication rules for PN in our hospital were established successfully， which can reduce the PN-induced risks and significantly improve the rationality of PN prescriptions.

Objective:To construct a temperature-sensitive hydrogel (PF-CA@AS-IV hydrogel) composed of Pluronic F-127 (PF-127)/calcium alginate (CA) loaded with astragaloside IV (AS-IV), and to explore its repair effect and potential mechanism on diabetic skin ulcers (DSU).Methods:The PF-CA@AS-IV hydrogel loaded with AS-IV and gelling at 37 ℃ was prepared. Its temperature sensitivity, rheological properties, and morphology were characterized. A rat model of DSU was established, and the rats were randomly divided into blank control group, model group, AS-IV spray group, PF-CA hydrogel group, and PF-CA@AS-IV hydrogel group ( n=5 each). After 21 days of intervention, the wound healing rate of each group was evaluated. Hematoxylin-eosin (HE) staining was used to observe the pathological changes of granulation tissue, and immunohistochemistry was applied to detect the expression level of CD34, a marker of new blood vessels. Results:Rheological analysis showed that the storage modulus (G′) of PF-CA@AS-IV hydrogel began to exceed the loss modulus (G″) at 33 ℃, and a stable three-dimensional network structure was formed at 37 ℃. Scanning electron microscopy confirmed its loose and porous microstructure. Animal experiment results indicated that compared with the blank control group, the model group had a significantly lower wound healing rate, massive infiltration of inflammatory cells, and fewer new capillaries and CD34 expression (all P<0.05). Compared with the model group, each treatment group can promote wound healing, reduce inflammatory infiltration and increase the positive expression of CD34 to varying degrees (all P<0.05), and the curative effect of PF-CA@AS-IV hydrogel group is the most significant, which is better than that of AS-IV spray group and PF-CA hydrogel group (all P<0.05). Conclusions:PF-CA@AS-IV hydrogel can effectively regulate inflammatory response and promote angiogenesis through sustained release of AS-IV, thereby accelerating DSU healing, and has good translational potential in the field of chronic wound repair.

Objective:To explore the efficacy and safety of the combination therapy of lenalidomide and rituximab (R2) for short-cycle maintenance therapy in patients with B-cell non-Hodgkin lymphoma (B-NHL).Methods:A retrospective case series study was conducted. The clinical data of 19 B-NHL patients who received R2 regimen maintenance therapy after achieving complete remission through chemotherapy or autologous hematopoietic stem cell transplantation at Dongguan Kanghua Hospital from February 2018 to January 2024 were collected, and the overall survival (OS), progression-free survival (PFS), adverse reactions, changes in lymphocyte subsets and cytokine levels before and after treatment were analyzed.Results:Among the 19 patients, there were 7 males and 12 females, with a median age [ M ( Q1, Q3)] of 49 (45, 65) years. The median follow-up time was 56 months, ranging from 5 to 77 months. The 1-year OS and PFS rates were 89.2% and 88.9%, respectively. The 2-year and 5-year PFS rates were both 83.2%, and the 2-year and 5-year OS rates were both 88.9%. Common adverse reactions included hematological adverse reactions and infections, with 4 cases (21.1%) experiencing grade 3-4 hematological adverse reactions and 4 cases (21.1%) experiencing infections. There was no statistically significant difference in the levels of lymphocyte subsets (total T cells, helper T cells, regulatory T cells, NK cells, B cells, and CD4/CD8) and cytokines [interleukin (IL)-2, IL-4, IL-6, IL-10, tumor necrosis factor-α, and interferon-γ] before and after treatment (all P > 0.05). Conclusions:The R2 regimen for short-cycle maintenance therapy of B-NHL is effective and well tolerated by patients.

OBJECTIVES: To investigate the therapeutic mechanism of Sangma Zhike Formula (SMZKF) for relieving cough sensitivity and airway inflammation in rats with postinfectious cough (PIC). METHODS: Male SD rat models were established by cigarette smoke exposure with intranasal LPS instillation and capsaicin aerosol inhalation. From day 19 following the start of PIC modeling, the rats received daily treatment with saline (model group), low-, medium-, and high-dose SMZKF, and compound methoxyphenamine (ASM) via gavage for 10 consecutive days (n=8). The assessments included behavioral changes, cough sensitivity (latency and frequency), lung histopathology, inflammatory cell counts and cytokine/mediator levels in the bronchoalveolar lavage fluid (BALF), oxidative stress markers in the lung tissue, and expressions of proteins related with cough hypersensitivity and pyroptosis. RESULTS: The rat models of PIC exhibited reduced mental alertness, accelerated respiration, and pronounced symptoms such as coughing, sneezing, and facial scratching with significantly shortened cough latency and increased 5-min cough frequency. Histopathological analysis revealed collapsed alveolar structures, thickened alveolar septa, and extensive inflammatory cell infiltration in the bronchi and peribronchial regions, accompanied by elevated bronchial and alveolar inflammation scores of the rat models. In the BALF, inflammatory cell counts and the levels of IL-1β, TNF-α, IL-6, COX-2, PGE-2, and TXA-2 were all markedly elevated, and the pulmonary oxidative stress markers (ROS and MDA) and myeloperoxidase (MPO) activity were also significantly increased. The pulmonary expressions of cough hypersensitivity-related proteins (TRPV1, SP, CGRP, and NK1R) and pyroptosis-associated markers (P-NF-κB, NLRP3, ACS, cleaved caspase-1, cleaved IL-1β, and GSDMD-N) were significantly upregulated in the model group. SMZKF interventions significantly ameliorated these pathological changes in the rat models, and high-dose SMZKF produced a similar therapeutic efficacy to that of ASM. CONCLUSIONS SMZKF alleviates cough sensitivity and airway inflammation in PIC rats possibly by inhibiting TRPV1-mediated SP/NK1R signaling and the NLRP3/caspase-1/GSDMD pyroptosis pathway.
Animals ; Cough/metabolism* ; Rats, Sprague-Dawley ; Pyroptosis/drug effects* ; Male ; TRPV Cation Channels/metabolism* ; Rats ; Drugs, Chinese Herbal/pharmacology* ; Inflammation ; Signal Transduction