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.

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 analyze the expression and diagnostic value of procalcitonin(PCT),white blood cell count(WBC),and C-reactive protein(CRP)in respiratory infections in the intensive care unit(ICU),and their correlation with the clinical pulmonary infection score(CPIS).Methods A total of 105 patients with respiratory infections admitted to the ICU from March 2019 to June 2024 were selected as the observation group,while 117 patients with no respiratory infection in the ICU were selected as the control group.PCT levels in both groups were measured using the Zybio-Q7 immunoquantitative analyzer,WBC levels were measured using XT-4000i white blood cell analyzer,and CRP levels were measured using the immunoturbidimetric method.The relationship between the expression of PCT,WBC and CRP and the clinical characteristics and CPIs score of respiratory infection in ICU were analyzed.Results The proportion of patients in the observation group with ICU stay>15 days and mechanical ventilation>7 days was significantly higher than that in the control group(P<0.05).Compared to the control group,the levels of PCT,WBC,CRP and CPIS score in the observation group were elevated,with statistically significant differences(P<0.05).Multivariate logistic regression analysis showed that ICU stay>15 days(OR=4.087),PCT(OR=6.543),WBC(OR=2.652),and CRP(OR=8.964)were risk factors for the occurrence of respiratory infections in the ICU.Pearson correlation analysis indicated a positive correlation between PCT and CPIS scores(r=0.925,P=0.001),a positive correlation between WBC and CPIS scores(r=0.739,P=0.001);and a positive correlation between CRP and CPIS scores(r=0.948,P=0.001).The ROC curve demonstrated that the combined diagnostic value of the three markers for ICU respiratory infections was higher than that of PCT,WBC,or CRP alone(P=0.002).Conclusion The combination of PCT,WBC,and CRP has high diagnostic value for ICU respiratory infections and is positively correlated with CPIs scores.Therefore,the above indicators can provide a reliable basis for the early diagnosis of respiratory infection in ICU.

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.

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 characteristics of macrophage depletion by clodronate liposomes(CL)in a carbon tetrachloride(CCl4)-induced liver fibrosis mouse model,and to analyze the transcriptomic features.Methods Thirty-two C57BL/6 mice were divided randomly into plain control liposomes for clophosome(PL)and clodronate liposome(CL)groups(n=16 mice per group),and administered intraperitoneal injections of PL and CL,respectively.On day 5,each group was further divided into normal(N)and model(M)subgroups(n=8 mice per subgroup).Mice in group M received 10％CCl4 intraperitoneally to induce liver fibrosis,while mice in group N received an equal volume of olive oil.After 4 weeks,serum alanine aminotransferase(ALT)and aspartate aminotransferase(AST)levels were measured,and hepatic inflammation and collagen deposition were evaluated by hematoxylin/eosin and Sirius red staining,respectively.Total RNA was extracted from liver tissues for transcriptomic sequencing and subsequent differential gene expression analysis.Results Serum ALT and AST levels were significantly elevated in the PL-M group(P＜0.01),with fibrosis staging primarily at S3,compared with S1 in the CL-M group.Totals of 1462 and 2119 differentially expressed genes(|log fold change|＞2 and P＜0.05)were identified in the PL and CL groups,respectively.Gene Ontology analysis revealed enrichment in multiple biological processes,cellular components,and molecular functions in both models,and Kyoto Encyclopedia of Genes and Genomes analysis identified 29 significantly enriched pathways(P＜0.05).The upregulation of genes including Lgals7 and Timp1 and the downregulation of Mup-ps16 and Mup15 were validated by reverse transcription-quantitative polymerase chain reaction,consistent with transcriptomic trends(P＜0.05).Conclusions This study highlights the characteristics and transcriptomic features of macrophage depletion in the CCl4-induced liver fibrosis model,providing a theoretical reference for research on the immune mechanisms of liver fibrosis.

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

Objective To explore the effects of Dushu pills on cognitive ability and mitochondrial dynamics related proteins in mouse model of Alzheimer's disease(AD)based on network pharmacology.Methods The corresponding targets of Dushu pills and its related targets with AD were predicted using TCMSP database.The intersection targets of Dushu pills and AD were obtained by Venny website.The protein interaction network and drug-disease-target network were mapped using String database and Cytoscape software,respectively.GO and KEGG enrichment analysis were performed for intersection targets using David database.The mouse model of AD was established by injecting Aβ25-35 into bilateral ventricles.The learning and memory ability of the mice was detected by behavioral tests,the mitochondrial damage of neurons in the hippocampus was observed by transmission electron microscopy,and the expression of proteins related to mitochondrial dynamics was detected by Western blot.Results A total of 311 intersection targets related to drugs and diseases were screened out from the database.GO and KEGG analysis showed that the relevant targets were concentrated in mitochondria and other components,and concentrated in the pathways of ATP binding and positive regulation of MAPK activity.Compared with the normal group,the learning and memory ability of the model group was decreased(P<0.05),mitochondrial ridges appeared swelling and fracture(P<0.0001),decreased expression of MAPK,Mfn2 and OPA1 proteins in hippocampus(P<0.01),the expression of DRP1 protein increased(P<0.01).Compared with the model group,the learning and memory ability of mice in the medium and high dose groups of Dushu pills was improved(P<0.05),mitochondrial damage was significantly improved(P<0.01),increased expression of MAPK,Mfn2 and OPA1 in the hippocampus(P<0.01),DRP1 protein expression decreased(P<0.01).Conclusion Dushu pills can reduce mitochondrial damage,maintain mitochondrial homeostasis,and improve the cognitive and memory ability of AD mice.