ObjectiveTo explore the mechanism by which Banxia Xiexin Tang （BXT） regulates the advanced glycation end products （AGE）/receptor for advanced glycation end products （RAGE） signaling pathway to reduce neuroinflammatory responses and ameliorate cognitive dysfunction in the rat model of vascular dementia （VD）. MethodsThe components of BXT were detected by ultra performance liquid chromatography-quadrupole -orbitrap-tandem mass spectrometry（UPLC-Q-Orbitrap-MS/MS）， and the core components and key action pathways were screened out by network pharmacology and molecular docking. Sixty SPF-grade male SD rats were randomly allocated into the sham and modeling groups by the random number table method. The VD model was replicated by the modified bilateral occlusion of the common carotid arteries （2-VO） method. The successfully modeled rats were randomly allocated into the model， low-， medium-， and high-dose （3.748 5， 7.497， 14.994 g·kg^-1） BXT （BXT-L， BXT-M， and BXT-H）， and nimodipine （NMP， 0.002 7 g·kg^-1） groups according to the random number table method. The rats in the drug intervention groups were administrated with corresponding drugs by gavage， and the sham and model groups received the same amount of normal saline for 14 consecutive days. The Morris water maze， Y-maze， and new object recognition experiments were conducted to evaluate the cognitive dysfunction of rats. Hematoxylin-eosin （HE） staining was used to evaluate the histopathological changes of the hippocampal tissue in rats. The mRNA levels of AGE， RAGE， and phosphorylated nuclear factor-kappa B p65 （p-NF-κB p65） in the hippocampal tissue of rats were determined by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. The expression of related proteins in the AGE/RAGE pathway in the hippocampal tissue of rats was determined by Western blot and immunohistochemistry （IHC）. The levels of neurotransmitters and inflammatory mediators in the rat serum were measured by enzyme-linked immunosorbent assay （ELISA）. ResultsThe chemical components of BXT were detected by UPLC-Q-Orbitrap-MS/MS. Network pharmacology and molecular docking identified the AGE/RAGE pathway as the key pathway. The results of the water maze， Y maze， and novel object recognition tests showed that compared with the sham group， the model group demonstrated prolonged successful latency and decreases in number of platform crossings， alternation rate， number of entries into the new arm， preference index， and discrimination index （P0.01）. Compared with the model group， the BXT-H and BXT-M groups showed shortened successful latency （P0.01） and increases in number of platform crossings （P0.05）， alternation rate （P0.01）， number of entries into the new arm （P0.05）， preference index （P0.01）， and discrimination index （P0.01）. HE results showed that compared with the sham group， the cells of model rats were loosely and disorderly arranged， and the nuclei were condensed. Compared with the model group， the pathological changes of the hippocampus in the BXT group were mitigated. Real-time PCR results showed that compared with the sham group， the model group presented up-regulated mRNA levels of AGE， RAGE， and p-NF-κB p65 in the hippocampus （P0.01）， and compared with the model group， the BXT-H and BXT-M groups showcased down-regulated mRNA levels of AGE， RAGE， and p-NF-κB p65 （P0.01）. Western blot results showed that compared with the sham group， the model group presented up-regulated expression of AGE， RAGE， p-NF-κB p65， and tumor necrosis factor-α （TNF-α） （P0.05）， and compared with the model group， the BXT-H group presented down-regulated expression of AGE， RAGE， p-NF-κB p65， and TNF-α （P0.05）. IHC results showed that compared with the sham group， the model group had increased expression of RAGE （P0.01）， and compared with the model group， the BXT-H and BXT-M groups had reduced expression of RAGE （P0.01）. ELISA results showed that compared with the sham group， the model group exhibited elevated levels of TNF-α and Interleukin-1β （IL-1β） and declined levels of acetylcholine （ACh） and dopamine （DA） in the serum （P0.01）. Compared with the model group， the BXT-L， BXT-M， and BXT-H groups showed lowered levels of TNF-α and IL-1β in the serum （P0.05） and elevated levels of ACh and DA （P0.05）. ConclusionBXT may ameliorate cognitive dysfunction in the rat model of VD by down-regulating the AGE/RAGE signaling pathway， reducing neuroinflammatory responses， and regulating neurotransmitter levels.

Insomnia is a sleep disorder characterized by difficulty in falling asleep， sleep maintenance disorder and impaired daytime function. Its pathological mechanism involves multiple factors such as nerve excitability， circadian rhythm， cell apoptosis， oxidative stress injury. As a classical tyrosine kinase signaling pathway， phosphatidylinositol 3-kinase/protein kinase B（PI3K/Akt） triggers Akt phosphorylation cascade， inducing inflammatory response， apoptosis， autophagy， oxidative damage， nerve excitability， and circadian rhythm imbalance. Traditional Chinese medicine（TCM） can improve sleep by targeting the PI3K/Akt pathway. Based on this， this paper systematically reviews the research progress on the regulation of PI3K/Akt pathway by traditional Chinese medicine（TCM） for insomnia at home and abroad. These drugs can regulate neuronal excitability by regulating the PI3K/Akt pathway， affect the circadian rhythm， alleviate inflammation， apoptosis， autophagy and oxidative stress， and thus regulate sleep-wake. Furthermore， literature review indicates that the PI3K/Akt signaling pathway may represent a specific pathway underlying phlegm-turbidity disturbing the upper Jiao-type insomnia.

ObjectiveTo explore the mechanism by which Banxia Xiexin Tang （BXT） regulates the advanced glycation end products （AGE）/receptor for advanced glycation end products （RAGE） signaling pathway to reduce neuroinflammatory responses and ameliorate cognitive dysfunction in the rat model of vascular dementia （VD）. MethodsThe components of BXT were detected by ultra performance liquid chromatography-quadrupole -orbitrap-tandem mass spectrometry（UPLC-Q-Orbitrap-MS/MS）， and the core components and key action pathways were screened out by network pharmacology and molecular docking. Sixty SPF-grade male SD rats were randomly allocated into the sham and modeling groups by the random number table method. The VD model was replicated by the modified bilateral occlusion of the common carotid arteries （2-VO） method. The successfully modeled rats were randomly allocated into the model， low-， medium-， and high-dose （3.748 5， 7.497， 14.994 g·kg^-1） BXT （BXT-L， BXT-M， and BXT-H）， and nimodipine （NMP， 0.002 7 g·kg^-1） groups according to the random number table method. The rats in the drug intervention groups were administrated with corresponding drugs by gavage， and the sham and model groups received the same amount of normal saline for 14 consecutive days. The Morris water maze， Y-maze， and new object recognition experiments were conducted to evaluate the cognitive dysfunction of rats. Hematoxylin-eosin （HE） staining was used to evaluate the histopathological changes of the hippocampal tissue in rats. The mRNA levels of AGE， RAGE， and phosphorylated nuclear factor-kappa B p65 （p-NF-κB p65） in the hippocampal tissue of rats were determined by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. The expression of related proteins in the AGE/RAGE pathway in the hippocampal tissue of rats was determined by Western blot and immunohistochemistry （IHC）. The levels of neurotransmitters and inflammatory mediators in the rat serum were measured by enzyme-linked immunosorbent assay （ELISA）. ResultsThe chemical components of BXT were detected by UPLC-Q-Orbitrap-MS/MS. Network pharmacology and molecular docking identified the AGE/RAGE pathway as the key pathway. The results of the water maze， Y maze， and novel object recognition tests showed that compared with the sham group， the model group demonstrated prolonged successful latency and decreases in number of platform crossings， alternation rate， number of entries into the new arm， preference index， and discrimination index （P<0.01）. Compared with the model group， the BXT-H and BXT-M groups showed shortened successful latency （P<0.01） and increases in number of platform crossings （P<0.05）， alternation rate （P<0.01）， number of entries into the new arm （P<0.05）， preference index （P<0.01）， and discrimination index （P<0.01）. HE results showed that compared with the sham group， the cells of model rats were loosely and disorderly arranged， and the nuclei were condensed. Compared with the model group， the pathological changes of the hippocampus in the BXT group were mitigated. Real-time PCR results showed that compared with the sham group， the model group presented up-regulated mRNA levels of AGE， RAGE， and p-NF-κB p65 in the hippocampus （P<0.01）， and compared with the model group， the BXT-H and BXT-M groups showcased down-regulated mRNA levels of AGE， RAGE， and p-NF-κB p65 （P<0.01）. Western blot results showed that compared with the sham group， the model group presented up-regulated expression of AGE， RAGE， p-NF-κB p65， and tumor necrosis factor-α （TNF-α） （P<0.05）， and compared with the model group， the BXT-H group presented down-regulated expression of AGE， RAGE， p-NF-κB p65， and TNF-α （P<0.05）. IHC results showed that compared with the sham group， the model group had increased expression of RAGE （P<0.01）， and compared with the model group， the BXT-H and BXT-M groups had reduced expression of RAGE （P<0.01）. ELISA results showed that compared with the sham group， the model group exhibited elevated levels of TNF-α and Interleukin-1β （IL-1β） and declined levels of acetylcholine （ACh） and dopamine （DA） in the serum （P<0.01）. Compared with the model group， the BXT-L， BXT-M， and BXT-H groups showed lowered levels of TNF-α and IL-1β in the serum （P<0.05） and elevated levels of ACh and DA （P<0.05）. ConclusionBXT may ameliorate cognitive dysfunction in the rat model of VD by down-regulating the AGE/RAGE signaling pathway， reducing neuroinflammatory responses， and regulating neurotransmitter levels.

Insomnia is a sleep disorder characterized by difficulty in falling asleep， sleep maintenance disorder and impaired daytime function. Its pathological mechanism involves multiple factors such as nerve excitability， circadian rhythm， cell apoptosis， oxidative stress injury. As a classical tyrosine kinase signaling pathway， phosphatidylinositol 3-kinase/protein kinase B（PI3K/Akt） triggers Akt phosphorylation cascade， inducing inflammatory response， apoptosis， autophagy， oxidative damage， nerve excitability， and circadian rhythm imbalance. Traditional Chinese medicine（TCM） can improve sleep by targeting the PI3K/Akt pathway. Based on this， this paper systematically reviews the research progress on the regulation of PI3K/Akt pathway by traditional Chinese medicine（TCM） for insomnia at home and abroad. These drugs can regulate neuronal excitability by regulating the PI3K/Akt pathway， affect the circadian rhythm， alleviate inflammation， apoptosis， autophagy and oxidative stress， and thus regulate sleep-wake. Furthermore， literature review indicates that the PI3K/Akt signaling pathway may represent a specific pathway underlying phlegm-turbidity disturbing the upper Jiao-type insomnia.

Objective: To evaluate the classroom environmental management and CO 2 volume concentration in primary and secondary schools from Liaoning, Tianjin, and Shanghai, thereby providing a scientific basis for developing targeted strategies to improve classroom air quality. Methods: From December 16 to 26, 2024, by using stratified random cluster sampling method, the questionnaire survey was conducted in 72 primary and secondary schools (24 each of primary, junior high, and regular high schools) across Liaoning, Tianjin and Shanghai. Information on heating, ventilation and other classroom environmental management was collected. Additionally, 108 classrooms were selected for on site microclimate measurements, including temperature, humidity, wind speed and CO 2 volume concentration. Univariate analysis and multiple linear regression models were employed to explore related factors of classroom CO 2 volume concentration. Results: Among the three provinces/municipalities, 20.8% of schools regularly monitored the microclimate. The overall compliance rate for classroom CO 2 volume concentration was 17.6%. Multiple linear regression analysis showed that CO 2 volume concentration in regular and junior high school classrooms were higher than in primary school classrooms ( β=0.067, 0.046, 95%CI =0.036-0.099, 0.013-0.080); classrooms ventilated regularly in the morning and afternoon had higher CO 2 volume concentration than those ventilated during every break between classes ( β=0.043, 95%CI = 0.007- 0.080); both temperature ( β=0.010, 95%CI =0.004-0.016) and humidity ( β=0.003, 95%CI =0.002-0.004) were positively correlated with CO 2 volume concentration (all P <0.05). Conclusions Excessive CO 2 volume concentration in primary and secondary school classrooms is a prominent issue, and ventilation frequency is a key intervenable factor for controlling CO 2 levels. It is recommended to promote ventilation during every break between classes as a core management measure and to emphasize air quality supervision in regular high school classrooms.

ObjectiveTo investigate the therapeutic effects and mechanisms of Qinlian Hongqutang （QLHQT） on nonalcoholic steatohepatitis （NASH）. MethodsC57BL/6J mice were randomly divided into normal and modeling groups. The NASH model was established by feeding a high-fat diet for 12 weeks. After successful modeling， mice were randomly assigned to the model group， low-， medium-， and high-dose QLHQT groups （0.51， 1.02， and 2.04 g·kg^-1）， and a positive control metformin group， with six mice in each group. The mice were treated for 8 weeks. Body weight was recorded before and after treatment. Serum levels of total cholesterol （TC）， triglycerides （TG）， and low-density lipoprotein cholesterol （LDL-C）， as well as hepatic TC， TG， and LDL-C contents， were determined by biochemical assays. Hematoxylin-eosin （HE） staining and oil red O staining were used to evaluate liver histopathology and lipid deposition， respectively. Flow cytometry， enzyme-linked immunosorbent assay （ELISA）， and Real-time polymerase chain reaction （Real-time PCR） were used to assess hepatic macrophage expression and related markers. Western blot and immunofluorescence were used to investigate the potential mechanisms of QLHQT in regulating macrophage polarization. ResultsCompared with the normal group， body weight and serum and hepatic levels of TC， TG， and LDL-C were significantly increased in the model group （P<0.01）. Liver histopathology showed unevenly distributed round lipid droplets in the hepatocyte cytoplasm， accompanied by inflammatory cell aggregation. Flow cytometry showed that the proportion of CD86-positive cells was significantly increased， whereas the proportion of CD206-positive cells was markedly decreased （P<0.05）. Hepatic inducible nitric oxide synthase （iNOS） levels and tumor necrosis factor-α （TNF-α） mRNA expression were significantly increased， while hepatic IL-10 levels and IL-4 mRNA expression were significantly decreased （P<0.01）. The protein expression levels of Toll-like receptor 4 （TLR4）， tumor necrosis factor receptor-associated factor 6 （TRAF6）， and myeloid differentiation factor 88 （MyD88） in the liver were significantly increased （P<0.01）. Compared with the model group， body weight was reduced in the high-， medium-， and low-dose QLHQT groups and in the metformin group. Serum and hepatic TC， TG， and LDL-C levels were significantly decreased （P<0.01）. Liver histopathology showed alleviated hepatic lipid deposition， with markedly reduced lipid droplets and inflammation. Immunofluorescence and flow cytometry showed that the proportions of CD86-positive cells were significantly decreased， whereas the proportions of CD206-positive cells were significantly increased in the high-， medium-， and low-dose QLHQT groups （P<0.05）. Hepatic iNOS levels and TNF-α mRNA expression were significantly decreased （P<0.01）， whereas hepatic IL-10 levels and IL-4 mRNA expression were significantly increased （P<0.01）. The hepatic protein expression levels of TLR4， TRAF6， and MyD88 were significantly decreased， while signal transducer and activator of transcription 6 （STAT6） phosphorylation was significantly increased （P<0.05， P<0.01）. There was no statistically significant difference in total STAT6 protein expression. ConclusionQLHQT effectively ameliorates hepatic inflammation in NASH mice， and the mechanism may involve STAT6- and TLR4-mediated signaling pathways driving polarization of M1 macrophages toward the M2 phenotype.

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.

Colorectal cancer， a leading malignant gastrointestinal tumor globally in terms of incidence and mortality， has seen a consistent annual rise in newly diagnosed cases. While conventional therapies like radiotherapy， chemotherapy， and surgery are available， problems such as lack of early diagnosis， poor prognosis， and drug resistance remain significant burdens for patients. Given the complex and diverse pathogenesis of colorectal cancer， there is an urgent clinical need for safe， effective， reliable， and multi-targeted therapeutic strategies. The Hippo signaling pathway， closely linked to mechanisms like tumorigenesis， cancer cell invasion， migration， and drug resistance， extensively participates in the occurrence and development of colorectal cancer， so targeting the signaling pathway for cancer prevention and treatment has become a crucial research direction in recent years. Traditional Chinese medicine （TCM） offers multi-faceted， multi-pathway， and multi-target advantages and becomes an important therapy for colorectal cancer by enhancing patients' immunity， improving the life quality， and prolonging survival. Studies show that the active components of TCM， including flavonoids， terpenoids， phenols， alkaloids， quinones， lignans， and saponins， as well as TCM compounds such as modified Sijunzi decoction， Jiedu Sangen decoction， Jianpi Jiedu compound， and Quyu Jiedu decoction， exhibit significant targeting effects on the Hippo signaling pathway. These TCMs can exert an anti-colorectal cancer effect through various mechanisms， such as inducing cancer cell autophagy and apoptosis， inhibiting epithelial-mesenchymal transition， reversing drug resistance of the tumor， and blocking the cancer cell cycle. This paper reviewed and analyzed Chinese and international research on the action mechanisms of TCM in regulating the Hippo signaling pathway for the prevention and treatment of colorectal cancer with a comprehensive overview presentation， aiming to provide new references and ideas for the clinical application of TCM and the development of new pharmacological agents in the prevention and treatment of colorectal cancer.

ObjectiveTo investigate the therapeutic effects and mechanisms of Qinlian Hongqutang （QLHQT） on nonalcoholic steatohepatitis （NASH）. MethodsC57BL/6J mice were randomly divided into normal and modeling groups. The NASH model was established by feeding a high-fat diet for 12 weeks. After successful modeling， mice were randomly assigned to the model group， low-， medium-， and high-dose QLHQT groups （0.51， 1.02， and 2.04 g·kg^-1）， and a positive control metformin group， with six mice in each group. The mice were treated for 8 weeks. Body weight was recorded before and after treatment. Serum levels of total cholesterol （TC）， triglycerides （TG）， and low-density lipoprotein cholesterol （LDL-C）， as well as hepatic TC， TG， and LDL-C contents， were determined by biochemical assays. Hematoxylin-eosin （HE） staining and oil red O staining were used to evaluate liver histopathology and lipid deposition， respectively. Flow cytometry， enzyme-linked immunosorbent assay （ELISA）， and Real-time polymerase chain reaction （Real-time PCR） were used to assess hepatic macrophage expression and related markers. Western blot and immunofluorescence were used to investigate the potential mechanisms of QLHQT in regulating macrophage polarization. ResultsCompared with the normal group， body weight and serum and hepatic levels of TC， TG， and LDL-C were significantly increased in the model group （P<0.01）. Liver histopathology showed unevenly distributed round lipid droplets in the hepatocyte cytoplasm， accompanied by inflammatory cell aggregation. Flow cytometry showed that the proportion of CD86-positive cells was significantly increased， whereas the proportion of CD206-positive cells was markedly decreased （P<0.05）. Hepatic inducible nitric oxide synthase （iNOS） levels and tumor necrosis factor-α （TNF-α） mRNA expression were significantly increased， while hepatic IL-10 levels and IL-4 mRNA expression were significantly decreased （P<0.01）. The protein expression levels of Toll-like receptor 4 （TLR4）， tumor necrosis factor receptor-associated factor 6 （TRAF6）， and myeloid differentiation factor 88 （MyD88） in the liver were significantly increased （P<0.01）. Compared with the model group， body weight was reduced in the high-， medium-， and low-dose QLHQT groups and in the metformin group. Serum and hepatic TC， TG， and LDL-C levels were significantly decreased （P<0.01）. Liver histopathology showed alleviated hepatic lipid deposition， with markedly reduced lipid droplets and inflammation. Immunofluorescence and flow cytometry showed that the proportions of CD86-positive cells were significantly decreased， whereas the proportions of CD206-positive cells were significantly increased in the high-， medium-， and low-dose QLHQT groups （P<0.05）. Hepatic iNOS levels and TNF-α mRNA expression were significantly decreased （P<0.01）， whereas hepatic IL-10 levels and IL-4 mRNA expression were significantly increased （P<0.01）. The hepatic protein expression levels of TLR4， TRAF6， and MyD88 were significantly decreased， while signal transducer and activator of transcription 6 （STAT6） phosphorylation was significantly increased （P<0.05， P<0.01）. There was no statistically significant difference in total STAT6 protein expression. ConclusionQLHQT effectively ameliorates hepatic inflammation in NASH mice， and the mechanism may involve STAT6- and TLR4-mediated signaling pathways driving polarization of M1 macrophages toward the M2 phenotype.

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.