1.Proteomic Analysis of Danlou Tablet in Improving Platelet Function for Treating Coronary Heart Disease with Phlegm-stasis Intermingling Syndrome in Minipigs
Ziyan WANG ; Ying LI ; Aoao WANG ; Hongxu MENG ; Yue SHI ; Yanlei MA ; Guoyuan ZHANG ; Lei LI ; Jianxun LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(5):41-53
ObjectiveThis paper aims to observe the role of Danlou tablet in treating coronary heart disease (CHD) with phlegm-stasis intermingling syndrome in minipigs by improving platelet function and explore the potential pharmacological mechanism of Danlou tablet in regulating platelet function by using proteomics technology. MethodsThirty Bama minipigs were randomly divided into a normal control group (6 pigs) and a high-fat diet group (24 pigs). After 2 weeks of high-fat diet feeding, the high-fat diet group was randomly subdivided into a model group, an atorvastatin group (1 mg·kg-1), and Danlou tablet groups (0.6 g·kg-1 and 0.3 g·kg-1). All groups continued to receive a high-fat diet for 8 weeks after the procedure. The normal control group was given a regular diet, underwent only coronary angiography, and did not receive an interventional injury procedure. The model group and each administration group were fed a high-fat diet. Two weeks later, they underwent a coronary angiography injury procedure. After the procedure, drugs were mixed into the feed every morning for 8 consecutive weeks, with the minipigs maintained on a continuous high-fat diet during this period. Quantitative proteomics technology was further used to study platelet proteins, and differential proteins were obtained by screening. Bioinformatics analysis was performed to analyze key regulatory proteins and biological pathways involved in the therapeutic effect of Danlou tablet on CHD with phlegm-stasis intermingling syndrome. ResultsCompared with the normal control group, the model group showed a significant increase in total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) of minipigs' serum (P<0.01), a significant shortening in prothrombin time of (PT) (P<0.01), a coagulation function index, and an increase in whole blood viscosity (P<0.01) and platelet aggregation rate (P<0.01). Moreover, the platelet morphology was altered, and the contents of endothelin-1 (ET-1) and nitric oxide (NO) were significantly increased (P<0.01). Hemodynamic parameters were obviously abnormal, including significantly decreased systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP), left ventricular systolic pressure (LVSP), and left ventricular maximal positive dp/dt (LV+dp/dtmax) (P<0.01). Left ventricular maximal negative dp/dt (LV-dp/dtmax) was significantly increased (P<0.01). Besides, there were myocardial cell hypertrophy, obvious edematous degeneration, massive interstitial inflammatory cell infiltration, high degree of fibrosis, and coronary endothelial atherosclerosis. TC and TG levels in minipigs' serum were significantly reduced in Danlou tablet groups with 0.6 g·kg-1 and 0.3 g·kg-1 (P<0.05, P<0.01), compared with those in the model group. LDL-C was decreased in the Danlou tablet group with 0.6 g·kg-1 (P<0.05). The whole blood viscosity under low and high shear conditions was significantly reduced in the Danlou tablet group with 0.6 g·kg-1 (P<0.05). In groups with all doses of Danlou tablet, maximum aggregation rate (MAR) and average aggregation rate (AAR) were significantly decreased (P<0.05, P<0.01), and platelets' morphological changes such as pseudopodia extension were reduced. ET-1 levels in the serum were significantly reduced. In the Danlou tablet group with 0.6 g·kg-1, NO level in the serum was reduced (P<0.05). In groups with all doses of Danlou tablet, DBP and MAP were significantly increased (P<0.05). In the Danlou tablet group with 0.6 g·kg-1, LVSP and LV+dp/dtmax were significantly increased (P<0.05, P<0.01), and LV-dp/dtmax was significantly decreased (P<0.05). In groups with all doses of Danlou tablet, edematous degeneration in myocardial tissue was milder, and coronary artery lesion degree was significantly alleviated. Compared with the normal control group, there were 94 differentially expressed proteins in the model group, including 81 up-regulated and 13 down-regulated proteins. Compared with the model group, the Danlou tablet group with 0.6 g·kg-1 showed 174 differentially expressed proteins, including 100 up-regulated and 74 down-regulated proteins. A total of 30 proteins were reversed after Danlou tablet intervention. Bioinformatics analysis revealed that its pharmacological mechanism may exert anti-platelet activation, aggregation, and adhesion effects through biological pathways such as regulation of actin cytoskeleton, platelet activation pathway, Fcγ receptor-mediated phagocytosis, as well as proteins such as growth factor receptor-bound protein 2 (GRB2), Ras-related C3 botulinum toxin substrate 2 (RAC2), RAC1, and heat shock protein 90 alpha family class A member 1 (HSP90AA1). ConclusionDanlou tablet can effectively reduce platelet activation and aggregation, exerting a good therapeutic effect on CHD with phlegm-stasis intermingling syndrome in minipigs. Its pharmacological mechanism may involve regulating biological pathways such as actin cytoskeleton and platelet activation pathway, as well as proteins like GRB2, RAC2, RAC1, and HSP90AA1, thereby exerting a pharmacological effect in anti-platelet activation, aggregation, and adhesion.
2.Action Mechanism of Huamoyan Granules in Treatment of Knee Osteoarthritis Based on TRPV1/p38 MAPK Pathway
Jin ZHANG ; Lili YANG ; Canwen ZHENG ; Jing KANG ; Yanlei MA ; Yue SHI ; Lei LI ; Hongxu MENG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(4):79-89
ObjectiveThis paper aims to observe the protective effect of Huamoyan granules on knee osteoarthritis (KOA) and explore whether its protective effect is oriented toward an anti-inflammatory direction by regulation of macrophage polarization, which can effectively inhibit the progression of pathological inflammatory response, reduce the release of inflammatory pain mediators, and downregulate the protein expression level of transient receptor potential vanilloid 1 (TRPV1), so as to provide experimental evidence for its clinical application and investigate its action mechanism. MethodsAfter adaptive feeding, Sprague-Dawley (SD) rats were randomly divided into six groups: sham group, model group, celecoxib group, and high, medium, and low-dose synovitis granule groups (9.6, 4.8, 2.4 g·kg-1). The administration dose of celecoxib capsules was 20 mg·kg-1. There were 10 rats in the sham group and 12 rats in the model group and each administration group. A KOA animal model was established by means of intra-articular injection of sodium iodoacetate into the knee joint. From the 10th day of the experiment, each administration group was given intragastric administration at a dose of 10 mL·kg-1 for 4 weeks. General conditions of rats in each group were assessed daily. The pressure pain threshold (PPT) to mechanical stimulation and joint diameter were recorded. X-ray examination was performed on the right knee joints of rats for imaging analysis. Enzyme linked immunosorbent assay (ELISA) was performed to detect the tumor necrosis factor-α (TNF-α), serum interleukin-1β (IL-1β), and other pro-inflammatory cytokines in rat serum samples, as well as the expression levels of neurogenic inflammatory mediators such as nerve growth factor (NGF) and calcitonin gene-related peptide (CGRP). Histopathological changes in the knee joint synovial tissues were examined by hematoxylineosin (HE) staining. Safranin O-fast green staining was performed to observe and evaluate the degree of knee cartilage lesions. Western blot was employed to quantitatively analyze TRPV1, p38 mitogen-activated protein kinase (p38 MAPK), and phosphorylated (p)-p38 MAPK in rat knee synovial tissues. Immunofluorescence (IF) was used to measure and assess M1/M2 macrophage polarization. ResultsCompared with those in the sham group, the circumference and joint diameter of the right knee were markedly enlarged in the model group (P<0.01), while PPTs of rats showed a significant reduction (P<0.01). The contents of IL-1β, TNF-α, CGRP, and NGF in rats' serum were significantly elevated (P<0.01), and the synovial Krenn score was increased (P<0.01). The Mankin score of cartilage tissue was increased (P<0.01), and the protein expressions of TRPV1 and p-p38 MAPK/p38 MAPK were significantly upregulated (P<0.01). The experimental intervention significantly reduced the proportion of pro-inflammatory M1 macrophages in the total macrophage population (P<0.01), and the percentage of M2 macrophages was decreased (P<0.01). The M1/M2 macrophage ratio was significantly elevated (P<0.01). Knee joint diameters of all dose groups of Huamoyan granules and the celecoxib group were reduced (P<0.01) compared with those of the model group, and the PPT recovery speeds in the high and medium-dose groups of Huamoyan granules were more obvious (P<0.05). The contents of IL-1β, CGRP, and NGF in the rats' serum in all administration groups were significantly reduced (P<0.05, P<0.01), and the content of TNF-α in rats' serum was significantly reduced (P<0.01). All dose groups of Huamoyan granules demonstrated significant reductions in both synovial Krenn score (P<0.05, P<0.01) and protein expression of TRPV1 and p-p38 MAPK/p38 MAPK in rats' synovial tissues (P<0.01). The percentage of M1 macrophages in the synovial tissues of the celecoxib group and all dose groups of Huamoyan granules was decreased (P<0.01). The percentage of M2 macrophages was increased (P<0.05), and the M1/M2 ratio was decreased (P<0.01). ConclusionHuamoyan granules can alleviate the inflammatory response of KOA, reduce the release of inflammatory pain mediators, and downregulate TRPV1 protein expression by regulating macrophage polarization. Its mechanism may be related to the TRPV1/p38 MAPK signaling pathway, thereby achieving the effect of improving peripheral pain hypersensitivity in KOA.
3.Epidemiological characteristics and disease burden of liver cancer in Guangdong Province
Ying ZHANG ; Yixuan CHEN ; Rong CAO ; Yue GAO ; Yutong HAN ; Ye WANG ; Ruilin MENG ; Xueyan ZHENG ; Yu LIAO ; Zhuanping ZENG
Journal of Public Health and Preventive Medicine 2026;37(1):68-72
Objective To analyze the epidemiological characteristics and disease burden of liver cancer in Guangdong Province in 2020, and to provide a scientific foundation for the development of regionalized prevention and control strategies for liver cancer. Methods According to the cancer registry data of Guangdong Province, the incidence, mortality and age-standardized rate by Chinese standard population in 2020 were calculated to analyze the epidemiological characteristics of liver cancer. The disability adjusted life years (DALYs), year of life loss (YLL), year of lived with disability (YLD), and cause-eliminated life expectancy were used to assess the disease burden of liver cancer. Results In 2020, the crude incidence rate and the age-standardized incidence rate of liver cancer in Guangdong Province were 27.79/100 000 and 20.84/100 000,respectively, and the crude mortality rate and the age-standardized mortality rate of liver cancer were 25.49/100,000 and 17.64/100 000, respectively. The total DALY and DALY rate of liver cancer in Guangdong Province were 515 311 person-years and 513.83/100 000, respectively. After eliminating the causes of death from liver cancer, the life expectancy in Guangdong Province increased from 84.60 years to 84.99 years. All indicators consistently demonstrated that the burden of liver cancer was higher in males than that in females, and the burden of liver cancer was higher in rural areas than that in urban areas. Conclusion Liver cancer in Guangdong Province exhibits a high incidence, mortality and disease burden level in 2020. There are obvious differences of gender, age and region in cancer burden. It is necessary to strengthen liver cancer screening and diagnosis and treatment in men, the elderly and those in rural areas to reduce the burden of liver cancer gradually in Guangdong Province.
4.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
6.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
8.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
9.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
10.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.


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