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.

The focus of green analytical chemistry(GAC)is to minimize the negative impacts of analytical pro-cedures on human safety,human health,and the environment.Several factors,such as the reagents used,sample collection,sample processing,instruments,energy consumed,and the quantities of hazardous materials and waste generated during analytical procedures,need to be considered in the evaluation of the greenness of analytical assays.In this study,we propose a greenness evaluation metric for analytical methods(GEMAM).The new greenness metric is simple,flexible,and comprehensive.The evaluation criteria are based on both the 12 principles of GAC(SIGNIFICANCE)and the 10 factors of sample prep-aration,and the results are presented on a 0-10 scale.The GEMAM calculation process is easy to perform,and its results are easy to interpret.The output of GEMAM is a pictogram that can provide both qualitative and quantitative information based on color and number.

OBJECTIVE: To evaluate the clinical outcomes and explore the application of partial sialoadenectomy for the treatment of benign tumors in the submandibular gland (SMG). METHODS: Patients with pleomorphic adenoma of the SMG who underwent surgical treatment in the Department of Oral and Maxillofacial Surgery, Peking University Shenzhen Hospital, from October 2017 to February 2021, were enrolled and assessed in the follow-up. Fifteen patients underwent partial sialoadenectomy (PS group), and 18 patients underwent total sialoadenectomy (TS group). Postoperative salivary secretion, degree of dry mouth, appearance changes of the face and neck, nerve damage, and tumor recurrence were compared between the groups. The volume of the glands on the operated and contralateral sides of the patients in the PS group, the saliva flow rate, and their correlations, were also analyzed. RESULTS: There was no recurrence during the follow-up period. The whole saliva flow rate at rest in the PS group was higher than that in the TS group [(2.15±1.10) g/5 min vs. (1.35±0.97) g/5 min, t=2.208, P=0.035)], while the stimulated saliva flow rate was not significantly different. The objective feeling of dry mouth, evaluated by visual analogue scale (VAS) score, was more obvious in the TS group than in the PS group (Z=-2.244, P=0.025). In the PS group, the resting saliva flow rate of the SMG on the operated side was lower than that on the contralateral side of the same patient [(0.92±0.40) g/5 min vs. (1.18±0.40) g/5 min, t=-2.821, P=0.014], however, in the cases whose remaining SMG was more than 80% of the contralateral side, the saliva flow rate of both sides was not significantly different (t=-0.027, P=0.980). There was no significant difference in the saliva flow rate per unit volume of the gland on either side (t=-0.015, P=0.989), and the saliva flow rate of the operated SMG was positively correlated with the volume of the remaining gland (r=0.750, P=0.012). The VAS scores for neck deformity were not significantly different between the two groups (t=-0.997, P=0.319). No symptoms of nerve injury occurred in either group. CONCLUSION Partial sialoadenectomy in the SMG can safely remove benign tumors while preserving glandular secretory function, with fewer complications and improved quality of life.
Humans ; Submandibular Gland/pathology* ; Male ; Female ; Middle Aged ; Adenoma, Pleomorphic/surgery* ; Adult ; Treatment Outcome ; Submandibular Gland Neoplasms/surgery* ; Saliva/metabolism* ; Aged