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.

Vascular dementia （VaD） is a cognitive dysfunction syndrome caused by cerebrovascular disease and is the second most common type of dementia worldwide， following Alzheimer's disease. The pathological mechanisms of VaD are complex， involving multiple biological processes， including angiogenesis， neuroinflammation， apoptosis， and oxidative stress. Among these， angiogenesis is a key process in VaD pathology and is primarily regulated through the vascular endothelial growth factor （VEGF） signaling pathway. In recent years， traditional Chinese medicine （TCM） has gradually gained attention in the treatment of VaD， particularly the therapeutic approach of benefiting Qi， activating blood circulation， and resolving blood stasis， which has demonstrated unique advantages in clinical practice. This method， based on the TCM theory of Qi and blood， emphasizes improving the pathological state of ''blood stasis'' by harmonizing the circulation of Qi and blood， and its scientific basis has been increasingly elucidated by modern pharmacological studies. This article systematically integrates the TCM concept of ''removing stasis to promote regeneration'' with the modern medical mechanism of neoangiogenesis and reviews the current research on promoting neoangiogenesis through the benefiting Qi， activating blood circulation， and resolving blood stasis in VaD treatment. It covers research progress on single Chinese medicine and compound formulas that promote neoangiogenesis， reduce apoptosis， and improve cerebral hemodynamics through multi-target and multi-pathway synergistic effects. Furthermore， this article explores the therapeutic approach of combining acupuncture and moxibustion with Chinese medicine formulas， breaking through the traditional single-treatment model. The synergistic treatment of acupuncture and herbal medicine not only enhances neoangiogenesis but also improves cognitive function and quality of life in VaD patients via multiple pathways. By comparing the advantages and limitations of modern medicine and TCM in VaD treatment， this article notes that while modern medicine excels in elucidating pathological mechanisms and targeted therapies， it is limited in overall regulation and multi-target interventions. TCM， through the comprehensive effects of multiple components and targets， is better suited to address the complex pathological features of VaD. However， current research on TCM for VaD still has limitations， including incompletely clarified mechanisms and insufficient clinical studies. Therefore， future research should further integrate multidisciplinary approaches， such as modern pharmacology and molecular biology， to deeply explore TCM resources and investigate diverse interdisciplinary collaborative treatment models， providing new ideas and strategies for VaD therapy.

Radiotherapy is a cornerstone in the treatment of malignant tumors. It induces DNA damage through high-energy radiation, preferentially eliminating rapidly proliferating tumor cells. However, its clinical efficacy is often limited by tumor radioresistance and collateral damage to normal tissues. Consequently, elucidating the cellular response mechanisms to radiation stress and identifying key targets that can both sensitize tumor cells and protect normal tissues have become critical strategies for improving radiotherapy outcomes. Radiation stress triggers structural remodeling of the nucleolus, leading to the dissociation of certain ribosomal proteins from the ribosome and enabling them to acquire extra-ribosomal functions. Among these, RPL11 can be released and specifically binds to MDM2, thus inhibiting its E3 ubiquitin ligase activity, stabilizing p53, and mediating cell cycle arrest and apoptosis. The RPL11-MDM2-p53 pathway, acting as a signaling hub that links nucleolar dysfunction to cell fate determination, plays a pivotal role in maintaining genomic stability and regulating cellular responses to radiation. This review first introduces the basic characteristics of RPL11 and elucidates the molecular basis of radiation-induced ribosomal stress. It then outlines the core regulatory mechanisms of the cell cycle. On this basis, it focuses on the mechanisms by which radiation-induced RPL11 regulates the cell cycle and analyzes the specific effects of RPL11 on cell cycle. Furthermore, it discusses the role of the RPL11-MDM2-p53 pathway in cell cycle regulation. Finally, it explores the role of this pathway in maintaining genomic stability and determining cell fate, and highlights its potential value as a target for radiosensitization, aiming to provide new perspectives for enhancing tumor radiosensitivity and reducing damage to normal tissues.

Radiotherapy is a cornerstone in the treatment of malignant tumors. It induces DNA damage through high-energy radiation, preferentially eliminating rapidly proliferating tumor cells. However, its clinical efficacy is often limited by tumor radioresistance and collateral damage to normal tissues. Consequently, elucidating the cellular response mechanisms to radiation stress and identifying key targets that can both sensitize tumor cells and protect normal tissues have become critical strategies for improving radiotherapy outcomes. Radiation stress triggers structural remodeling of the nucleolus, leading to the dissociation of certain ribosomal proteins from the ribosome and enabling them to acquire extra-ribosomal functions. Among these, RPL11 can be released and specifically binds to MDM2, thus inhibiting its E3 ubiquitin ligase activity, stabilizing p53, and mediating cell cycle arrest and apoptosis. The RPL11-MDM2-p53 pathway, acting as a signaling hub that links nucleolar dysfunction to cell fate determination, plays a pivotal role in maintaining genomic stability and regulating cellular responses to radiation. This review first introduces the basic characteristics of RPL11 and elucidates the molecular basis of radiation-induced ribosomal stress. It then outlines the core regulatory mechanisms of the cell cycle. On this basis, it focuses on the mechanisms by which radiation-induced RPL11 regulates the cell cycle and analyzes the specific effects of RPL11 on cell cycle. Furthermore, it discusses the role of the RPL11-MDM2-p53 pathway in cell cycle regulation. Finally, it explores the role of this pathway in maintaining genomic stability and determining cell fate, and highlights its potential value as a target for radiosensitization, aiming to provide new perspectives for enhancing tumor radiosensitivity and reducing damage to normal tissues.

Radiotherapy is a cornerstone in the treatment of malignant tumors. It induces DNA damage through high-energy radiation, preferentially eliminating rapidly proliferating tumor cells. However, its clinical efficacy is often limited by tumor radioresistance and collateral damage to normal tissues. Consequently, elucidating the cellular response mechanisms to radiation stress and identifying key targets that can both sensitize tumor cells and protect normal tissues have become critical strategies for improving radiotherapy outcomes. Radiation stress triggers structural remodeling of the nucleolus, leading to the dissociation of certain ribosomal proteins from the ribosome and enabling them to acquire extra-ribosomal functions. Among these, RPL11 can be released and specifically binds to MDM2, thus inhibiting its E3 ubiquitin ligase activity, stabilizing p53, and mediating cell cycle arrest and apoptosis. The RPL11-MDM2-p53 pathway, acting as a signaling hub that links nucleolar dysfunction to cell fate determination, plays a pivotal role in maintaining genomic stability and regulating cellular responses to radiation. This review first introduces the basic characteristics of RPL11 and elucidates the molecular basis of radiation-induced ribosomal stress. It then outlines the core regulatory mechanisms of the cell cycle. On this basis, it focuses on the mechanisms by which radiation-induced RPL11 regulates the cell cycle and analyzes the specific effects of RPL11 on cell cycle. Furthermore, it discusses the role of the RPL11-MDM2-p53 pathway in cell cycle regulation. Finally, it explores the role of this pathway in maintaining genomic stability and determining cell fate, and highlights its potential value as a target for radiosensitization, aiming to provide new perspectives for enhancing tumor radiosensitivity and reducing damage to normal tissues.

Diabetic microvascular complications （DMC） are major chronic complications of diabetes，primarily including diabetic kidney disease （DKD），diabetic retinopathy （DR），diabetic cardiomyopathy （DCM），and diabetic peripheral neuropathy （DPN）. These complications significantly impact patients' quality of life and prognosis. Modern medicine primarily focuses on symptomatic control in the treatment of DMC，with limited ability to reverse the disease progression. Endoplasmic reticulum stress （ERS），as a central event under hyperglycemic toxicity，is not only a key cause of pancreatic β-cell dysfunction （reduced insulin synthesis and secretion） but also a core driver of damage in various target organs of DMC. It activates three signaling pathways of the unfolded protein response （UPR）-inositol-requiring enzyme 1 （IRE1），activating transcription factor 6 （ATF6），and protein kinase R-like endoplasmic reticulum kinase （PERK），intertwining processes such as autophagy，apoptosis，oxidative stress，and calcium homeostasis imbalance. Traditional Chinese medicine （TCM） offers multi-target and multi-pathway therapeutic advantages and can curb the pathological progression of DMC by regulating ERS. This article systematically reviews the relationships of ERS with pancreatic β-cell function，insulin synthesis，and insulin secretion，and elucidates the core signaling pathways through which ERS mediates DMC. Furthermore，it categorizes and summarizes experimental evidence and mechanisms of single medicinal herbs and their extracts，TCM compound formulas，and modern TCM preparations in regulating ERS for the treatment of various DMC subtypes. Finally，this article proposes ERS as a molecular bridge for integrating traditional Chinese and Western medicine in DMC treatment. Future research should leverage emerging technologies such as network pharmacology，multi-omics analysis，and nano-formulations to establish a synergistic network combining modern hypoglycemic drugs and TCM regulation of ERS. This approach is expected to achieve dual efficacy，enhance drug targeting and bioavailability，deepen the understanding of scientific connotation of TCM，and pave new avenues for the prevention and treatment of DMC.

Diabetic microvascular complications （DMC） are major chronic complications of diabetes，primarily including diabetic kidney disease （DKD），diabetic retinopathy （DR），diabetic cardiomyopathy （DCM），and diabetic peripheral neuropathy （DPN）. These complications significantly impact patients' quality of life and prognosis. Modern medicine primarily focuses on symptomatic control in the treatment of DMC，with limited ability to reverse the disease progression. Endoplasmic reticulum stress （ERS），as a central event under hyperglycemic toxicity，is not only a key cause of pancreatic β-cell dysfunction （reduced insulin synthesis and secretion） but also a core driver of damage in various target organs of DMC. It activates three signaling pathways of the unfolded protein response （UPR）-inositol-requiring enzyme 1 （IRE1），activating transcription factor 6 （ATF6），and protein kinase R-like endoplasmic reticulum kinase （PERK），intertwining processes such as autophagy，apoptosis，oxidative stress，and calcium homeostasis imbalance. Traditional Chinese medicine （TCM） offers multi-target and multi-pathway therapeutic advantages and can curb the pathological progression of DMC by regulating ERS. This article systematically reviews the relationships of ERS with pancreatic β-cell function，insulin synthesis，and insulin secretion，and elucidates the core signaling pathways through which ERS mediates DMC. Furthermore，it categorizes and summarizes experimental evidence and mechanisms of single medicinal herbs and their extracts，TCM compound formulas，and modern TCM preparations in regulating ERS for the treatment of various DMC subtypes. Finally，this article proposes ERS as a molecular bridge for integrating traditional Chinese and Western medicine in DMC treatment. Future research should leverage emerging technologies such as network pharmacology，multi-omics analysis，and nano-formulations to establish a synergistic network combining modern hypoglycemic drugs and TCM regulation of ERS. This approach is expected to achieve dual efficacy，enhance drug targeting and bioavailability，deepen the understanding of scientific connotation of TCM，and pave new avenues for the prevention and treatment of DMC.

In recent decades,the incidence of human papillomavirus(HPV)-associated oropharyngeal squamous cell carcinoma(OPSCC)has shown a marked increase.Significant changes have also occurred in the OPSCC diagnosis and treatment paradigm.Deter-mining HPV status prior to treatment is now essential,and radiotherapy/chemotherapy,immunotherapy,and minimally invasive surgical techniques have progressively emerged as key modalities for managing OPSCC.However,alongside these paradigm shifts,a comprehen-sive technical consensus guiding the entire diagnostic and therapeutic process for OPSCC patients is currently lacking.Given China's large population base and the rising incidence of OPSCC,an expert panel convened to develop a clinical technical consensus on OPSCC diagno-sis and management tailored to China's specific context.This consensus aims to further enhance and standardize understanding of OPSCC management techniques among relevant healthcare professionals.

Objective:To investigate the epidemic characteristics and trends of major natural focus diseases and vector-borne infectious diseases in Yantai City, and provide a basis for formulating reasonable prevention and control strategies.Methods:The descriptive analysis was conducted on the epidemic data of natural focal diseases and vector-borne infectious diseases in Yantai City collected from the Infectious Disease Surveillance and Reporting Management System, a subsystem of the China Disease Control and Prevention Information System, covering the period from January 1, 2019, to December 31, 2023.Results:From 2019 to 2023, a total of 2 746 cases of 12 kinds of natural focus diseases, vector-borne infectious diseases and zoonosis were reported in Yantai City. The top four diseases reported in incidence rate were severe fever with thrombocytopenia syndrome (SFTS, 3.13/100 000), brucellosis (2.57/100 000), hemorrhagic fever with renal syndrome (HFRS, 1.09/100 000), and scrub typhus (0.73/100 000). There were statistically significant differences in the reported incidence rate of the four major natural focus diseases and vector-borne infectious diseases between different years (χ 2 = 92.55, 34.88, 132.33, 39.95, P < 0.001). The four major natural focal diseases and vector-borne infectious diseases had reported cases throughout the year. SFTS cases peaked in June, accounting for 28.80% (320/1 111). Brucellosis cases were predominantly reported from March to August, accounting for 65.54% (599/914). HFRS cases peaked in November, accounting for 38.66% (150/388), while scrub typhus cases peaked in October, accounting for 69.88% (181/259). The top three districts/cities with the highest incidence of the four major natural focus diseases and vector-borne infectious diseases were Laizhou City (585 cases), Zhaoyuan City (377 cases), and Haiyang City (358 cases). The incidence rates of SFTS in women was higher than that in men (χ 2 = 13.92, P < 0.001), and the incidences rates of brucellosis and HFRS in men were higher than those in women (χ 2 = 123.09, 73.32, P < 0.001). The cases of the four diseases were mainly farmers, accounting for 76.06% (845/1 111), 78.12% (714/914), 81.44% (316/388), and 85.71% (222/259), respectively. Conclusions:From 2019 to 2023, the reported incidence rate of the four major natural focus diseases and vector-borne infectious diseases in Yantai City presents an overall upward trend, with obvious seasonal, regional and demographic characteristics. Targeted prevention and control measures should be developed for high-risk areas and populations based on the characteristics of different diseases.