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.

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

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

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 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.

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.

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.

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 observe the effects of moxibustion at different temperatures on cognitive function and blood glucose levels in patients with cognitive impairment associated with type 2 diabetes mellitus (T2DM). METHODS: A total of 66 T2DM patients with cognitive impairment were randomly assigned to a high-temperature group (22 cases, 1 case dropped out, 1 case was eliminated), a medium-temperature group (22 cases, 2 cases were eliminated), and a low-temperature group (22 cases, 2 cases were eliminated). All groups received moxibustion at Baihui (GV20), Dazhui (GV14), and Shenting (GV24) based on their existing glycemic control treatment. Moxibustion temperatures were maintained at 44-46 ℃ (high-temperature group), 41-43 ℃ (medium-temperature group), and 38-40 ℃ (low-temperature group), respectively, for 20 min per session, every other day, 3 times a week for 3 months. The Montreal cognitive assessment (MoCA) score, mini-mental state examination (MMSE) score, short-term memory (STM) accuracy and average reaction time, Rey-Osterrieth complex figure (ROCF) score, fasting plasma glucose (FPG), and glycated hemoglobin (HbA1c) were assessed before and after treatment. Clinical efficacy was evaluated after treatment. RESULTS: After treatment, MMSE scores in all three groups were higher than those before treatment (P<0.05). In the high-temperature group, the total MoCA score and the scores of visuospatial and executive function, memory and delayed recall, attention, naming, language, and abstraction were higher than those before treatment (P<0.05); the scores of ROCF copy, immediate recall, and delayed recall were higher than those before treatment (P<0.05); the HbA1c level was lower than that before treatment (P<0.05). In the medium-temperature group, the total MoCA score and the scores of memory and delayed recall, attention, and language were higher than those before treatment (P<0.05). STM accuracy was higher than before treatment (P<0.05), and STM average reaction time was shorter than before treatment (P<0.05) in both the high-temperature and medium-temperature groups. After treatment, the total MoCA score and the scores of visuospatial and executive function, memory and delayed recall, attention, and language in the high-temperature group were higher than those in the medium- and low-temperature groups (P<0.05); MMSE score, STM accuracy, and ROCF immediate recall and delayed recall scores were higher than those in the medium- and low-temperature groups (P<0.05); STM average reaction time was shorter than that in the medium- and low-temperature groups (P<0.05); HbA1c level was lower than that in the low-temperature group (P<0.05). The total MoCA score, attention score, and MMSE score in the medium-temperature group were higher than those in the low-temperature group (P<0.05), and STM average reaction time was shorter than that in the low-temperature group (P<0.05). There were no statistically significant differences in FPG within or between the three groups before and after treatment (P>0.05). The total effective rates were 75.0% (15/20) in the high-temperature group, 50.0% (10/20) in the medium-temperature group, and 15.0% (3/20) in the low-temperature group; the total effective rate in the high-temperature group was significantly higher than that in the low-temperature group (P<0.05). CONCLUSION Moxibustion at different temperatures has a dose-effect relationship in treating cognitive impairment in T2DM patients. A temperature range of 44-46 ℃ is more effective in improving cognitive function and stabilizing average blood glucose levels over 2-3 months.
Humans ; Diabetes Mellitus, Type 2/therapy* ; Male ; Female ; Moxibustion ; Middle Aged ; Aged ; Cognitive Dysfunction/psychology* ; Cognition ; Temperature ; Blood Glucose/metabolism* ; Adult ; Acupuncture Points