1.Exploring Therapeutic Mechanism of Xihuang Wan for Hyperplasia of Mammary Glands Based on Network Pharmacology, Molecular Docking, and Cell Experiments
Junliang WANG ; Peihua LIANG ; Xueli MA ; Juanxia SUN ; Tao HAN ; Yongmei LAN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(4):41-49
ObjectiveTo study the therapeutic mechanism of Xihuang Wan for hyperplasia of mammary glands based on network pharmacology, molecular docking, and cell experiments. MethodsThe active ingredients and targets of Xihuang Wan were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and A Bioinformatics Annotation daTabase for Molecular mechANism of Traditional Chinese Medicine (BATMAN-TCM) and supplemented by searching against PubChem and Swiss Target Prediction. The targets of differential metabolites in tissues and urine were obtained from previous metabolomics studies through PubChem and Swiss Target Prediction. GeneCards, Online Mendelian Inheritance in Man (OMIM), PharmGKB, Therapeutic Target Database (TTD), Drunbank were searched for the targets of hyperplasia of mammary glands. After the common targets were obtained via Veeny2.1.0, the STRING database was used to analyze the protein-protein interactions, and Cytoscape was used for the core target analysis and visualization. Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) were employed for enrichment analysis. Molecular docking was carried out in Autodock, and cell experiments were conducted to verify the prediction results. In the cell experiments, estradiol and progesterone (E2+P) were used to intervene in human mammary epithelial/MCF-10A cells, and thus the MCF-10A cell proliferation model was established. The cells were then treated with Xihuang Wan-medicated serum. The cell counting kit-8 (CCK-8) was used to measure the cell proliferation, and flow cytometry was used to detect apoptosis. The mRNA and protein levels of key factors in MCF-10A cells were determined by real-time PCR and Western blot, respectively. ResultsThe results of network pharmacology showed that 90 active ingredients and 316 common targets were obtained, from which 20 core targets and 38 corresponding active ingredients were screened out. The results of GO and KEGG enrichment analyses showed that Xihuang Wan exerted effect against hyperplasia of mammary glands by regulating a variety of biological processes, which may be related to protein kinase B (Akt)-related molecular functions, estrogen signaling pathway, prolactin signaling pathway and other biological processes. The results of molecular docking showed that estrogen receptor 1 (ESR1), serine/threonine kinase 1 (Akt1), non-receptor tyrosine kinase (SRC), and signal transducer and activator of transcription 3 (STAT3) all had strong binding activity with the nine active ingredients, suggesting that Xihuang Wan exert the effect through the ESR1/SRC/phosphatidylinositol 3-kinase (PI3K)/Akt signaling pathway and the Janus kinase (JAK)/STAT3 signaling pathway. The results of cell experiments showed that E2+P intervention in MCF-10A cells promoted the proliferation of MCF-10A cells (P<0.05), while the Xihuang Wan-medicated serum inhibited the proliferation of MCF-10A cells exposed to E2+P (P<0.05). Flow cytometry showed that the Xihuang Wan-medicated serum promoted the apoptosis of MCF-10A cells exposed to E2+P (P<0.01). The results of Real-time PCR showed that the Xihuang Wan-medicated serum down-regulated the mRNA levels of PI3K, Akt, JAK2, and STAT3 in MCF-10A cells treated with E2+P (P<0.01). The results of Western blot showed that the Xihuang Wan-medicated serum inhibited the expression of p-PI3K/PI3K, p-Akt/Akt, p-JAK2/JAK2, and p-STAT3/STAT3 in MCF-10A cells treated with E2+P (P<0.05). ConclusionXihuang Wan may exert the effect against hyperplasia of mammary glands by inhibiting the proliferation and promoting the apoptosis of MCF-10A cells, which may related to the inhibition of the activation of PI3K/Akt and JAK2/STAT3 signaling pathways.
2.Identification of Chemical Constituents of Bidens pilosa and Analysis of Its Anti-gastric Cancer Cell Proliferation Activity in Vitro
Yu HAN ; Chang LIU ; Jiao LIU ; Tao ZHANG ; Zhongmei ZOU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(2):154-164
ObjectiveTo study the chemical constituents of Bidens pilosa and the in vitro antiproliferative activity of some compounds against gastric cancer cells. MethodsThe chemical constituents were isolated and purified by methods such as silica gel column chromatography, preparative thin layer chromatography, medium pressure preparation chromatography, semi-preparative high performance liquid chromatography(HPLC) and recrystallization, their structures were identified on the basis of physicochemical properties, spectral data and circular dichroism spectra. Thiazole blue(MTT) assay was used to determine the in vitro inhibitory activityies of some isolated compounds against human gastric cancer SGC-7901 cells, and molecular docking was used to predict their potential targets. ResultsTwenty-five compounds were isolated from the petroleum ether fraction of B. pilosa and identified as bidpillignan A(
3.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.
4.An excerpt of ACG clinical guideline: Malnutrition and nutritional recommendations in liver disease (2025)
Journal of Clinical Hepatology 2025;41(6):1053-1055
Malnutrition is a common complication in patients with liver disease, particularly in the advanced stage of disease, and it significantly affects the prognosis of patients. In 2025, the American College of Gastroenterology released Clinical Guideline: Malnutrition and Nutritional Recommendations in Liver Disease, which covers the definition, causes, nutritional assessment methods, and intervention strategies for malnutrition associated with liver disease, which provides evidence-based recommendations for nutritional management in liver disease. This article makes an excerpt of the recommendations and key concept statements from the guideline.
5.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.Research progress on molecular mechanisms of ginsenosides in alleviating acute lung injury.
Han-Yang ZHAO ; Xun-Jiang WANG ; Qiong-Wen XUE ; Bao-Lian XU ; Xu WANG ; Shu-Sheng LAI ; Ming CHEN ; Li YANG ; Zheng-Tao WANG ; Li-Li DING
China Journal of Chinese Materia Medica 2025;50(16):4451-4470
Acute lung injury(ALI) is a critical clinical condition primarily characterized by refractory hypoxemia and infiltration of inflammatory cells in lung tissue, which can progress into a more severe form known as acute respiratory distress syndrome(ARDS). Immune cells and inflammatory cytokines play important roles in the progression of the disease. Due to its unclear pathogenesis and the lack of effective clinical treatments, ALI is associated with a high mortality rate and severely affects patients' quality of life, making the search for effective therapeutic agents particularly urgent. Ginseng Radix et Rhizoma, the dried root of the perennial herb Panax ginseng from the Araliaceae family, contains active ingredients such as saponins and polysaccharides, which possess various pharmacological effects including anti-tumor activity, immune regulation, and metabolic modulation. In recent years, studies have shown that ginsenosides exhibit notable effects in reducing inflammation, ameliorating epithelial and endothelial cell injury, and providing anticoagulant action, indicating their comprehensive role in alleviating lung injury. This review summarizes the pathogenesis of ALI and the molecular mechanisms through which ginsenosides act at different stages of ALI development. The aim is to provide a scientific reference for the development of ginsenoside-based drugs targeting ALI, as well as a theoretical basis for the clinical application of Ginseng Radix et Rhizoma in the treatment of ALI.
Ginsenosides/pharmacology*
;
Humans
;
Acute Lung Injury/immunology*
;
Animals
;
Panax/chemistry*
;
Drugs, Chinese Herbal
7.Electrical stimulation based on triboelectric nanogenerator promotes osteogenesis of MC3T3-E1 cells on titanium surfaces.
Bo PANG ; Shu YANG ; Hongyang HAN ; Xingwei ZHANG ; Tao SONG
Journal of Biomedical Engineering 2025;42(2):366-373
This paper aims to explore the effect of electrical stimulation of triboelectric nanogenerators (TENGs) on the osteogenic and other biological behaviors of mouse embryonic osteoblast precursor cells (MC3T3-E1 cells) on titanium surfaces. First, an origami-type TENG was fabricated, and its electrical output performance was tested. The optimal current of the generator and the feasibility of the experiment were verified by the CCK-8 assay and scratch assay. At the optimal current, the osteogenic conditions of the cells in each group were determined by quantitative analysis of the total protein content, alkaline phosphatase (ALP) activity, and alizarin red staining (ARS) on the titanium surface. Finally, the adhesion and spreading of cells on the titanium surface after electrical stimulation were observed. The results showed that the TENG had good electrical output performance, with an open-circuit voltage of 65 V and a short-circuit current of 42 μA. Compared with the rest of the current, a current strength of 30 μA significantly improved cell proliferation and migration, osteogenesis, and adhesion and spreading capabilities. The above results confirm the safety and operability of TENG in biomedical applications, laying the foundation for future TENG applications in reducing the time of bone integration around titanium implants after surgery.
Titanium/chemistry*
;
Osteogenesis
;
Animals
;
Mice
;
Osteoblasts/cytology*
;
Electric Stimulation/instrumentation*
;
Cell Adhesion
;
Cell Proliferation
;
Surface Properties
;
Cell Differentiation
;
Nanotechnology
8.Traditional Chinese medicine formulas alleviated acute pancreatitis via improvement of microcirculation: A systematic review and meta-analysis.
Ji GAO ; Chenxia HAN ; Ning DAI ; Wen WANG ; Tao JIN ; Dan DU ; Qing XIA
Chinese Herbal Medicines 2025;17(3):584-600
OBJECTIVE:
Microcirculatory disturbance is pathologically critical to acute pancreatitis (AP), which can be effectively alleviated by traditional Chinese medicine (TCM) formulas that activate blood flow. However, there has been no evidence-based research to date. Therefore, a well-designed systematic review and meta-analysis is necessary to elucidate the therapeutic transformative benefit of improving microcirculation during AP. This study aims to confirm the therapeutic efficacy of TCM formulas and explore the potential mechanisms underlying their effects on AP treatment.
METHODS:
Studies from eight databases including Pubmed, Embase, Web of Science, Cochrane Library, CNKI, CBM, Wanfang, and Chinese VIP, were screened for the eligible randomized controlled trials (RCTs). The APACHE II score and effectiveness rate were set as primary outcomes, while mortality rate, complications, total hospital stays, serum amylase recovery time, the time until the disappearance of abdominal pain, microcirculation indicators, and inflammation indicators were chosen as secondary outcomes. A systematic review and meta-analysis were subsequently conducted. Network pharmacology analysis was performed to analyze potential bioactive components with relevant targets of the core herbs included in the TCM formulas for activating blood flow.
RESULTS:
A total of 51 RCTs (n = 3 721) were included. Compared with conventional western medical treatments alone, TCM groups were associated with lower APACHE II score (SMD = - 1.36, 95% CI: -2.01 to - 0.71, P = 0.000) and higher effectiveness rate (RR: 1.22, 95% CI: 1.18 to 1.26, P = 0.000). Furthermore, the formulas for activating blood flow demonstrated significant efficacy in improving both microcirculation and inflammation indicators. Additionally, six core Chinese herbal medicines including Rhei Radix et Rhizoma with the highest frequency, Aurantii Fructus Immaturus, Paeoniae Radix Rubra, Bupleuri Radix, Salviae Miltiorrhizae Radix et Rhizoma, and Corydalis Rhizoma were filtered out from the adopted TCM formulas. Finally, 166 shared targets between the six herbs and AP were identified. KEGG analysis indicated that lipid and atherosclerosis pathway is highly related to microcirculation.
CONCLUSION
TCM formulas for activating blood flow significantly improve microcirculation and alleviate AP. Further high-quality, well-designed RCTs and deep mechanism exploration are required.
9.The chordata olfactory receptor database.
Wei HAN ; Siyu BAO ; Jintao LIU ; Yiran WU ; Liting ZENG ; Tao ZHANG ; Ningmeng CHEN ; Kai YAO ; Shunguo FAN ; Aiping HUANG ; Yuanyuan FENG ; Guiquan ZHANG ; Ruiyi ZHANG ; Hongjin ZHU ; Tian HUA ; Zhijie LIU ; Lina CAO ; Xingxu HUANG ; Suwen ZHAO
Protein & Cell 2025;16(4):286-295
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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