1.Mechanism of Modified Si Junzitang and Shashen Maidong Tang in Improving Sensitivity of Cisplatin in EGFR-TKI Resistant Lung Adenocarcinoma Cells Based on Aerobic Glycolysis
Yanping WEN ; Yi JIANG ; Liping SHEN ; Haiwei XIAO ; Xiaofeng YANG ; Surui YUAN ; Lingshuang LIU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(1):39-46
ObjectiveTo investigate the mechanism of modified Si Junzitang and Shashen Maidong Tang [Yiqi Yangyin Jiedu prescription (YQYYJD)] in enhancing the sensitivity of cisplatin in epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI)-resistant lung adenocarcinoma cells based on aerobic glycolysis. MethodsThe effects of different concentrations of YQYYJD (0, 2, 3, 4, 5, 6, 7, 8 g·L-1) and cisplatin (0, 3, 6, 9, 12, 15, 18, 21, 24, 27 mg·L-1) on the proliferation and activity of PC9/GR cells were detected by the cell counting kit-8 (CCK-8) assay after 24 hours of intervention. The half-maximal inhibitory concentration (IC50) for PC9/GR cells was calculated to determine the concentrations used in subsequent experiments. PC9/GR cells were divided into blank group (complete medium), YQYYJD group (5 g·L-1), cisplatin group (12 mg·L-1), and combined group (YQYYJD 5 g·L-1 + cisplatin 12 mg·L-1). After 24 hours of intervention, cell viability was measured using CCK-8 assay. Cell proliferation was assessed by colony formation assay, and cell migration was evaluated by scratch and Transwell assays. Glucose consumption, lactate production, and adenosine triphosphate (ATP) levels were measured by colorimetric assays. The expression levels of glycolysis-related proteins, including hexokinase 2 (HK2), phosphofructokinase P (PFKP), pyruvate kinase M2 (PKM2), lactate dehydrogenase A (LDHA), glucose transporter 1 (GLUT1), and monocarboxylate transporter 4 (MCT4), were determined by Western blot. ResultsBoth YQYYJD and cisplatin inhibited the viability of PC9/GR cells in a concentration-dependent manner. The IC50 of PC9/GR cells for YQYYJD and cisplatin were 5.15 g·L-1 and 12.91 mg·L-1, respectively. In terms of cell proliferation, compared with the blank group, the cell survival rate and the number of colonies formed in the YQYYJD group, cisplatin group, and combined group were significantly decreased (P<0.01). Compared with the YQYYJD and cisplatin groups, the combined group showed a further significant reduction in cell survival rate and colony formation (P<0.01). In terms of cell migration, compared with the blank group, the cell migration rate and the number of cells passing through the Transwell membrane in the YQYYJD group, cisplatin group, and combined group were significantly decreased (P<0.01). Compared with the YQYYJD and cisplatin groups, the combined group exhibited a further significant reduction in cell migration rate and the number of cells passing through the Transwell membrane (P<0.01). In terms of glycolysis, compared with the blank group, glucose consumption, lactate production, and ATP levels in the YQYYJD group, cisplatin group, and combined group were significantly decreased (P<0.01). Compared with the YQYYJD and cisplatin groups, the combined group showed a further significant reduction in glucose consumption, lactate production, and ATP levels (P<0.05). Compared with the blank group, the protein expression levels of HK2, PFKP, PKM2, and LDHA in the YQYYJD, cisplatin, and combined groups were significantly decreased (P<0.01). The combined group showed a further significant reduction in the expression levels of these proteins compared with the YQYYJD and cisplatin groups (P<0.01). No significant differences were observed in the protein expression levels of GLUT1 and MCT4 among the groups. ConclusionYQYYJD can synergistically inhibit the proliferation and migration of PC9/GR cells and enhance their sensitivity to cisplatin. The mechanism may be related to the downregulation of the expression of glycolysis-related rate-limiting enzymes, including HK2, PFKP, PKM2, and LDHA, thereby inhibiting glycolysis.
2.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.
3.Role and mechanism of alkaloid components of traditional Chinese medicine against knee osteoarthritis
Xuyu SHEN ; Chengnuo LUO ; Xiaoyun ZHANG ; Zhouying JIANG ; Yuan CHAI
Chinese Journal of Tissue Engineering Research 2025;29(11):2368-2376
BACKGROUND:At present,modern medical treatment has certain limitations on the treatment of knee osteoarthritis.Traditional Chinese medicine alkaloids can effectively prevent and treat knee osteoarthritis through various mechanisms. OBJECTIVE:To review the mechanism of alkaloids in traditional Chinese medicine in the prevention and treatment of knee osteoarthritis,providing a scientific basis for the clinical development of drugs for the treatment of knee osteoarthritis. METHODS:CNKI,WanFang,PubMed,Web of Science and Google Scholar were retrieved for relevant literature published from database inception to May 2024.The key words were"knee osteoarthritis""osteoarthritis""osteoclast""chondrocyte""alkaloids"in Chinese and English.Duplicates and obsolete non-referenced literature were excluded,and a total of 68 eligible papers were included for further review. RESULTS AND CONCLUSION:Although traditional Chinese medicine has a long history of treating knee osteoarthritis,only a small number of natural compounds are in the preclinical stage of research against knee osteoarthritis.Alkaloids have a greater potential for the prevention and treatment of knee osteoarthritis,among which,sophocarpidine,oxymatrine,sinomenine,and betaine have been shown to be effective in the prevention and treatment of knee osteoarthritis by modulating multiple signaling pathways.Alkaloids can delay the progression of knee osteoarthritis by inhibiting inflammatory response,exerting antioxidant response,inhibiting chondrocyte apoptosis,promoting chondrocyte proliferation,and inhibiting osteoclast formation and differentiation.
4.Progress in the study of anti-inflammatory active components with anti-inflammatory effects and mechanisms in Caragana Fabr.
Yu-mei MA ; Ju-yuan LUO ; Tao CHEN ; Hong-mei LI ; Cheng SHEN ; Shuo WANG ; Zhi-bo SONG ; Yu-lin LI
Acta Pharmaceutica Sinica 2025;60(1):58-71
The plants of the genus
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.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.
7.Clinical Application of Green Prescription of Traditional Chinese Medicine:Problems and Solution Strategies
Yike SONG ; Zhijun BU ; Wenxin MA ; Kai LIU ; Yuyi WANG ; Yuan SUN ; Yang SHEN ; Hongkui LIU ; Jianping LIU ; Zhaolan LIU
Journal of Traditional Chinese Medicine 2025;66(11):1094-1098
Green prescription is a written prescription aimed at improving health by promoting physical activity and improving diet, with advantages such as high cost-effectiveness, strong feasibility, and minimal harm to patients. The theory of traditional Chinese medicine (TCM) green prescription integrates the health philosophy of "following rule of yin and yang, and adjusting ways to cultivating health", the exercise philosophy of balancing yin-yang and the five elements, and the dietary philosophy of moderation and balance, which embody core TCM concepts such as treating disease before its onset and harmony between humans and nature. It has also developed traditional exercise practices like Tai Chi, Baduanjin, Wuqinxi, Yi-Gin-Ching, and Qigong, as well as dietary adjustments like medicated diet and herbal wines. However, it is believed that the TCM green prescription currently suffers from insufficient evidence-based research, low patient awareness and acceptance, and weak basic research. Based on this, it is proposed that large-sample clinical trials should be conducted in the future to improve the quality of evidence-based medicine, basic research can be carried out with the help of artificial intelligence and other methods in research design, the hospital information system (HIS) can be used for control at the implementation level, and publicity and patient education can be strengthened through the new media, so as to promote the development and application of the TCM green prescriptions in the field of global health treatment.
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.Effects of Xiaozhong Zhitong Mixture (消肿止痛合剂) on Angiogenesis and the Dll4/Notch1 Signaling Pathway in Wound Tissue of Diabetic Foot Ulcer Model Rats
Xiao HAN ; Tao LIU ; Yuan SONG ; Jie CHEN ; Jiaxuan SHEN ; Jing QIAO ; Hengjie WANG ; Lewen WU ; Yazhou ZHAO
Journal of Traditional Chinese Medicine 2025;66(16):1695-1703
ObjectiveTo investigate the potential machanism of Xiaozhong Zhitong Mixture (消肿止痛合剂, XZM) in the treatment of diabetes foot ulcer (DFU). MethodsFifty SD rats were randomly divided into blank group, model group, XZM group, inhibitor group, XZM plus inhibitor group (combination group), with 10 rats in each group. Except for the blank group, rats were fed with high-sugar, high-fat, high-cholesterol diet, intraperitoneally injected with streptozotocin, and subjected to skin defect to establish DFU model. After successful modeling, the XZM group and the combination group were given 1 ml/(100 g·d)of XZM by gavage, while the blank group, model group, and inhibitor group were all given an equal volume of 0.9% sodium chloride injection by gavage. Thirty minutes later, the inhibitor group and the combination group were intraperitoneally injected with 5 mg/(kg·d) of Notch1 inhibitor DAPT. All groups were treated once a day. After 14 days of administration, the skin tissue from the dorsal foot of the blank group rats and wound tissue from the other groups were collected. The pathological changes of granulation tissue in the wound were detected using hematoxylin eosin (HE) staining. The microvascular density (MVD) in wounds was detected through immunohistochemical staining. Real time fluorescence quantitative polymerase chain reaction (RT-PCR) and western blotting were used to detect the mRNA and protein levels of Notch1 homolog (Notch1), Delta-like ligand 4 (Dll4), Delta-like ligand 4 (VEGF), and angiopoietin 2 (Ang-2), respectively. ResultsHistological results showed that the epidermal structure in the dorsal foot skin tissue of the rats in the blank group was intact. In the wound tissue of the model group, the epidermis exhibited excessive keratinization, vacuolar cytoplasm, and a large number of inflammatory cells infiltrating the tissue, while in the XZM group, a large amount of scab formation was observed in the epidermis, with no significant inflammatory cell infiltration and a noticeable increase in fibroblasts. In the combination group and the inhibitor group, partial epidermal scab formation was observed in the wound tissue with a small amount of inflammatory cell infiltration. Compared to those in the blank group, the MVD in the wound tissue increased in the model group, as well as the mRNA expression and protein levels of Notch1 and Dll4, while VEGFA and Ang-2 mRNA expression and protein levels significantly decreased (P<0.05 or P<0.01). Compared to those in the model group, the MVD in the wound tissue of all medication groups significantly increased, and the mRNA and protein levels of Notch1 and Dll4 decreased, while VEGFA and Ang-2 mRNA expression and protein levels increased (P<0.05 or P<0.01). Compared to the XZM group, the inhibitor group and the combination group showed decreased MVD in wound tissue, increased Notch1 and Dll4 mRNA and protein levels, and decreased expression of VEGFA and Ang-2 mRNA and proteins (P<0.05 or P<0.01). ConclusionXZM can effectively promote wound healing in DFU rats, and its mechanism of action may be related to the inhibition of Dll4/Notch1 signaling pathway in the wound tissue, therey promoting angiogenesis.

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