1.Treatment of Liver Cancer by Intervening TGF-β Signaling Pathway with Traditional Chinese Medicine: A Review
Hao CHENG ; Haohao GUO ; Jun SUN ; Juan XUE ; Chunyan JI ; Shiyi LI ; Yuxue DING ; Huaqiang YUE
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):318-326
Liver cancer is one of the most common malignant tumors in the digestive system and ranks sixth among newly diagnosed malignant tumors worldwide. Transforming growth factor-β (TGF-β) regulates cell differentiation, proliferation, apoptosis, and other physiological and pathological mechanisms and exerts cancer-suppressive and pro-cancerous dual effects in the process of tumor development. In recent years, with the continuous exploration of the mechanism of liver cancer, it has been found that the conversion of the cancer-suppressive effect into a pro-cancerous effect of this pathway plays a key role in the development of liver cancer. Traditional Chinese medicine (TCM) provides a unique perspective for the classification, diagnosis, and treatment of liver cancer with its comprehensive regulatory effects of multi-components, multi-targets, and multi-pathways. This paper summarized that the cancer-suppressive mechanisms of the TGF-β signaling pathway included promoting cancer cell cycle arrest, apoptosis, autophagy, et al, while the pro-cancerous mechanisms included promoting cancer cell proliferation, invasion and metastasis, immunosuppression, angiogenesis, et al. The TCM compounds intervening this pathway were sorted out, including Jianpi Huayu compound, Fuyang Baoyuan compound, Yipi Yanggan compound, Fuzheng Jiedu compound, compound Astragalus and Salvia, Biejia Jianwan, Dahuang Zhechong pill, and Qingxiang powder. The single TCMs mainly included Schizocapsa plantaginea, Dendrobii Caulis, Gleditsia sinensis, and Dracaena cochinchinensis. The active ingredients of TCM are mainly concentrated on flavonoids, alkaloids, glycosides, phenolics, terpenoids, polysaccharides, and other kinds of compounds. At the same time, it summarized that the liver cancer inhibition mechanism of TCM by regulating this pathway mainly included promoting apoptosis of liver cancer cells, blocking the cell cycle, and inhibiting liver cancer cell proliferation, migration, invasion, angiogenesis, immune escape, etc. The mechanism aims to give full play to the advantages of TCM and precisely regulate the TGF-β signal, thereby exerting positive anti-tumor effects, opening up a new direction for the precise targeted treatment of liver cancer, and providing a scientific basis and a new strategy for the application of TCM in the treatment of liver cancer.
2.Treatment of Liver Cancer by Intervening TGF-β Signaling Pathway with Traditional Chinese Medicine: A Review
Hao CHENG ; Haohao GUO ; Jun SUN ; Juan XUE ; Chunyan JI ; Shiyi LI ; Yuxue DING ; Huaqiang YUE
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):318-326
Liver cancer is one of the most common malignant tumors in the digestive system and ranks sixth among newly diagnosed malignant tumors worldwide. Transforming growth factor-β (TGF-β) regulates cell differentiation, proliferation, apoptosis, and other physiological and pathological mechanisms and exerts cancer-suppressive and pro-cancerous dual effects in the process of tumor development. In recent years, with the continuous exploration of the mechanism of liver cancer, it has been found that the conversion of the cancer-suppressive effect into a pro-cancerous effect of this pathway plays a key role in the development of liver cancer. Traditional Chinese medicine (TCM) provides a unique perspective for the classification, diagnosis, and treatment of liver cancer with its comprehensive regulatory effects of multi-components, multi-targets, and multi-pathways. This paper summarized that the cancer-suppressive mechanisms of the TGF-β signaling pathway included promoting cancer cell cycle arrest, apoptosis, autophagy, et al, while the pro-cancerous mechanisms included promoting cancer cell proliferation, invasion and metastasis, immunosuppression, angiogenesis, et al. The TCM compounds intervening this pathway were sorted out, including Jianpi Huayu compound, Fuyang Baoyuan compound, Yipi Yanggan compound, Fuzheng Jiedu compound, compound Astragalus and Salvia, Biejia Jianwan, Dahuang Zhechong pill, and Qingxiang powder. The single TCMs mainly included Schizocapsa plantaginea, Dendrobii Caulis, Gleditsia sinensis, and Dracaena cochinchinensis. The active ingredients of TCM are mainly concentrated on flavonoids, alkaloids, glycosides, phenolics, terpenoids, polysaccharides, and other kinds of compounds. At the same time, it summarized that the liver cancer inhibition mechanism of TCM by regulating this pathway mainly included promoting apoptosis of liver cancer cells, blocking the cell cycle, and inhibiting liver cancer cell proliferation, migration, invasion, angiogenesis, immune escape, etc. The mechanism aims to give full play to the advantages of TCM and precisely regulate the TGF-β signal, thereby exerting positive anti-tumor effects, opening up a new direction for the precise targeted treatment of liver cancer, and providing a scientific basis and a new strategy for the application of TCM in the treatment of liver cancer.
3.Dendritic cell subpopulations in the tumor microenvironment: biological behaviors and targeted therapeutic strategies
CUI Jiale ; JI Anjie ; ZHU Ha ; LIU Juan
Chinese Journal of Cancer Biotherapy 2026;33(3):225-232
[摘 要] 树突状细胞(DC)作为抗肿瘤免疫应答的核心启动者与调控者,已成为肿瘤免疫治疗的重要靶点。DC疫苗等靶向DC的免疫治疗策略在抗肿瘤治疗中展现出独特优势,但仍存在抗原提呈效率不足、免疫抑制微环境抵抗、功能特异性调控困难等瓶颈问题。肿瘤微环境(TME)中的DC存在高度异质性,不同DC亚群在分化发育、免疫调控及效应转归方面呈现复杂的多样性。解析DC亚群的精确表型与功能机制对于开发新型DC靶向性免疫治疗策略具有重要意义。TME中募集的经典DC、浆细胞样DC、单核细胞来源DC能与肿瘤浸润免疫细胞和微环境中的非免疫细胞(包括肿瘤细胞、成纤维细胞、内皮细胞等)相互作用激活抗肿瘤免疫应答,而TME还会通过转录调控、表观遗传调控、代谢重塑等多种方式抑制DC招募和抗原提呈能力,甚至诱导其向耐受性DC转化。值得注意的是,新近发现的富含免疫调节分子的成熟DC具有双向免疫调控作用,其起源路径和免疫调控网络仍有待深入研究。随着单细胞分析与空间组学分析等技术的发展,有望在单细胞分辨率下系统解析DC亚群的功能多样性及其与TME的时空相互作用网络,为开发下一代精准免疫治疗策略提供新靶点和新思路。
4.Regulatory Mechanisms of miRNA in Hepatocellular Carcinoma and Current Status of Traditional Chinese Medicine Intervention: A Review
Shiyi LI ; Hao CHENG ; Chunyan JI ; Jun SUN ; Juan XUE
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(11):323-332
Hepatocellular carcinoma(HCC), as one of the common malignant tumours, has seen a continuous rise in incidence and mortality worldwide, posing a serious threat to human health. However, traditional treatments have certain limitations, therefore, the exploration of new therapeutic strategies is particularly urgent. In recent years, with in-depth research on the regulatory mechanisms of microRNA(miRNA) in tumour occurrence and development, it has become new targets for HCC diagnosis and treatment. As a traditional treatment method, Chinese medicine, due to its multi-component, multi-pathway, and multi-target overall regulatory characteristics, shows broad prospects in treating HCC by regulating miRNAs. Accordingly, this paper reviews recent studies on the role of miRNAs in HCC and research advances in traditional Chinese medicine interventions, finding that various miRNAs play key roles in HCC cell cycle regulation, proliferation and apoptosis, invasion and metastasis, immune microenvironment, and drug resistance. It summarises how active ingredients, extracts, medicinal pairs, and formulas of Chinese medicine act on specific miRNAs to regulate their downstream target gene expression, affecting the malignant behaviour of HCC cells and exerting anti-cancer effects. This study aims to provide a theoretical basis for miRNAs as potential biomarkers and therapeutic targets for HCC, as well as to offer new ideas for developing miRNA-based targeted Chinese medicine therapies.
5.Construction and Application of a Real-World Cohort of Community-Acquired Pneumonia Based on a Multimodal Large-Scale Traditional Chinese Medicine Big Data Platform
Zhichao WANG ; Xianmei ZHOU ; Fanchao FENG ; Mengqi WANG ; Xin WANG ; Bin KANG ; Xiaofan YU ; Xiaoxiao WANG ; Lei XIAO ; Juan LI ; Zhichao ZHANG ; Ye MA ; Yeqing JI ; Xin TONG ; Zhuoyue WU ; Jia LIU
Journal of Traditional Chinese Medicine 2026;67(9):961-965
This paper introduces a real-world cohort research model for community-acquired pneumonia (CAP) based on the Jiangsu Traditional Chinese Medicine (TCM) Dominant Diseases Diagnosis and Treatment Data Platform. Firstly, data cleaning is performed by standardizing diagnosis, symptoms, treatment and imaging, intelligently extracting unstructured information, and cleaning and constructing a standardized database. Secondly, for cohort establishment, CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly, in terms of protocol design, the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria, estimate sample size, define interventions, outcomes and economic evaluations, providing a reference for real-world TCM research on CAP.
6.Construction and Application of a Real-World Cohort of Community-Acquired Pneumonia Based on a Multimodal Large-Scale Traditional Chinese Medicine Big Data Platform
Zhichao WANG ; Xianmei ZHOU ; Fanchao FENG ; Mengqi WANG ; Xin WANG ; Bin KANG ; Xiaofan YU ; Xiaoxiao WANG ; Lei XIAO ; Juan LI ; Zhichao ZHANG ; Ye MA ; Yeqing JI ; Xin TONG ; Zhuoyue WU ; Jia LIU
Journal of Traditional Chinese Medicine 2026;67(9):961-965
This paper introduces a real-world cohort research model for community-acquired pneumonia (CAP) based on the Jiangsu Traditional Chinese Medicine (TCM) Dominant Diseases Diagnosis and Treatment Data Platform. Firstly, data cleaning is performed by standardizing diagnosis, symptoms, treatment and imaging, intelligently extracting unstructured information, and cleaning and constructing a standardized database. Secondly, for cohort establishment, CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly, in terms of protocol design, the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria, estimate sample size, define interventions, outcomes and economic evaluations, providing a reference for real-world TCM research on CAP.
7.Construction of Risk Prediction Model for Frequent Acute Exacerbations of Chronic Obstructive Pulmonary Disease Under Disease-syndrome Combination
Jing ZHOU ; Gang TENG ; Nianzhi ZHANG ; Yuanyuan WANG ; Qianqian ZHANG ; He HUANG ; Ling LIU ; Mei DONG ; Juan JI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(6):143-151
ObjectiveTo construct a risk prediction model for frequent acute exacerbations of chronic obstructive pulmonary disease (COPD) under disease-syndrome combination, thus providing decision support for precise clinical intervention. MethodsA total of 2 029 patients with acute exacerbations of COPD admitted to the First Affiliated Hospital of Anhui University of Chinese Medicine from January 2020 to August 2024 were retrospectively included. These patients were classified into groups of frequent acute exacerbations (≥2 times/year) and infrequent acute exacerbations (<2 times/year) according to the hospitalization times per year. Risk factors were screened by LASSO regression combined with logistic regression, and a nomogram model was constructed. The model performance was assessed based on the area under the curve (AUC), calibration curves, and decision curve analysis (DCA). ResultsThe differences in baseline characteristics between the frequent acute exacerbations group (1 196 cases) and infrequent acute exacerbations group (833 cases) were not statistically significant. LASSO regression combined with multivariate logistic regression screened the following independent risk factors: body mass index (BMI), hospitalization days, number of smoking years, place of residence, use of noninvasive ventilators, oxygen-demanding therapy, liver cirrhosis, use of systemic glucocorticosteroids, and traditional Chinese medicine syndrome (phlegm and stasis obstructing the lung). The nomogram model showed good discrimination and calibration in both the training set (AUC=0.748) and validation set (AUC=0.774). ConclusionThe risk prediction model for frequent acute exacerbations of COPD, integrating traditional Chinese medicine syndrome, constructed in this study has high accuracy. It can provide a scientific basis for early clinical identification of high-risk patients and individualized intervention.
8.Traditional Chinese Medicine in Treatment of Chronic Atrophic Gastritis by Regulating PI3K/Akt Signaling Pathway:A Review
Yuxue DING ; Zhiwei SU ; Juan XUE ; Jun SUN ; Chunyan JI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(6):307-315
Chronic atrophic gastritis (CAG) is a digestive system disease characterized by the reduction and atrophy of the intrinsic glands of the gastric mucosa. This disease is closely related to risk factors such as Helicobacter pylori (Hp) infection,long-term unhealthy eating habits and lifestyle. As CAG is a key link in the development of gastric cancer,effectively preventing its deterioration is of great significance for the prevention of gastric cancer. At present,Western medicine mainly uses symptomatic treatments such as eradicating Hp,protecting gastric mucosa, and promoting gastrointestinal motility. However, long-term use is prone to drug resistance and cannot reverse limitations such as gland atrophy, making it urgent to explore new intervention strategies. In recent years,with the deepening of CAG mechanism research,the phosphatidylinositol 3-kinase (PI3K)/protein kinase B (Akt) signaling pathway,as one of the classic signaling pathways,plays a significant role in the occurrence and development of CAG,while its systematic summary is still blank. Based on the regulatory advantages of "multi-target,multi-pathway,and low toxicity",traditional Chinese medicine can improve the pathological process of CAG by intervening in key nodes of the PI3K/Akt pathway. In this paper,the research progress of traditional Chinese medicine regulating PI3K/Akt pathway to improve CAG was systematically reviewed for the first time. The expression of PI3K/Akt signaling pathway in CAG was discussed,including the regulation of inflammation and oxidative stress,cell proliferation and apoptosis,and autophagy. The traditional Chinese medicine flavonoids,alkaloids,terpenoids and other compounds that regulate this pathway were summarized. The traditional Chinese medicine compounds mainly include classic famous prescriptions such as Xiaochaihu Tang,Banxia Xiexin Tang,Morodan concentrated pills,Elian granules and other traditional Chinese patent medicines,as well as empirical prescriptions such as modified Leweiyin formula,and Qiling prescription. This study aims to give full play to the advantages of traditional Chinese medicine and lay a solid foundation for the wide application and further development of CAG treatment,and provide new ideas for clinical research and drug research on CAG.
9.The role of surface electromyography network indices in assessing neuromuscular dysfunction in hemiplegia
Jinping LI ; Ying XU ; Xianglian KANG ; Runing JI ; Juan WANG ; Minjun DAI ; Ke LI ; Ying HOU
Chinese Journal of Physical Medicine and Rehabilitation 2025;47(5):446-452
Objective:To observe the characteristics of multi-muscle surface electromyography (sEMG) network indices during static standing among hemiplegic stroke survivors, and to evaluate the value of the indices in assessing neuromuscular dysfunction.Methods:Ten male stroke survivors with hemiplegia were recruited into the hemiplegia group, and 10 age-matched healthy males were chosen as the control group. Both groups were required to perform 30s static standing tasks with their eyes open and closed. The sEMG signals from the bilateral gluteus maximus (GM), rectus femoris (RF) and biceps femoris (BF) muscles were synchronously collected. Linear time-frequency domain indices were then calculated from the sEMG signals, including the root mean square (RMS) and median frequency (MF). Network indices were extracted from the multiplex recurrence network and weighted networks were constructed from the sEMG signals, including the average interlayer mutual information (I), average edge overlap (ω), clustering coefficient (C), average shortest path length (L) and degree of centrality (DC).Results:With the eyes closed, the RMS values of the bilateral GMs of the hemiplegia group, as well as the values for the RF and BF on the unaffected side were significantly higher than the control group′s values. In the hemiplegia group, the RMS values of the RF and BF muscles on the unaffected side were significantly higher than on the affected side during standing with the eyes closed. For the RF muscles the RMS values on the unaffected side were, on average, significantly higher than with the eyes open. The MF of the GM muscles on the unaffected side in the hemiplegia group was significantly lower than the average MF values of the bilateral GM muscles in the control group with the eyes open or closed. With the eyes closed, the MF of the unaffected-side GM was significantly lower than that of the affected-side GM in the hemiplegia group. Compared with the control group, the hemiplegia group showed a significant increase in I and ω values, but a significant decrease in L values with the eyes open or closed. The DC values of the bilateral GM, RF and BF muscles in the hemiplegia group were significantly higher than among the control group with the eyes open, which was also true of the bilateral GM and RF muscles with the eyes closed. With the BF muscles it was true only of the unaffected side. In the hemiplegia group, the DC values of the unaffected-side GM with the eyes open or closed, and of the unaffected-side BF with the eyes closed.Conclusions:When standing still, hemiplegic stroke survivors exhibit increased overall synchronous muscle adjustment with involvement of unaffected-side muscles, especially the GM. sEMG network indices such as I, ω, L and DC can assess multi-muscle synchronous adaptability and the involvement of single muscles. sEMG network algorithms thus have potential as a new method for localizing and quantitatively assessing neuromuscular dysfunction among such patients.
10.Risk factors for Crohn's disease-like pouch in ulcerative colitis patients with ileal pouch-anal anastomosis
Yinan YAN ; Juan WEI ; Zhao YANG ; Ya YANG ; Hui TAO ; Liuying LI ; Hongqin WANG ; Yuanyi ZHAO ; Feng ZHU ; Ji XUAN ; Jianfeng GONG ; Fangyu WANG
Chinese Journal of Inflammatory Bowel Diseases 2025;09(3):211-217
Objective:To explore the incidence of Crohn's disease-like pouch (CDP) after ileal pouch-anal anastomosis (IPAA) and analyze the clinical characteristics and risk factors in ulcerative colitis (UC) patients.Methods:A retrospective cohort study was conducted. One hundred and eighty-two UC patients undergoing IPAA at Jinling Hospital affiliated to Nanjing University from November 2003 to November 2024 were enrolled. Patients were categorized into CDP and non-CDP groups. Clinical features and prognosis were compared, and multivariate Cox regression was performed to identify risk factors for CDP.Results:A total of 182 UC patients were included, with a median follow-up time of 45.00 (30.00, 75.25) months. The patients were divided into two groups based on the diagnosis of CDP, with 23 patients (12.64%) in the CDP group and 159 patients (87.30%) in the non-CDP group. Compared to the non-CDP group, patients in the CDP group had a lower body mass index (BMI) ( Z=-2.87, P=0.004), and were more likely to develop early postoperative pouchitis (χ 2=4.50, P=0.034). The median time from ileostomy closure to the development of CDP was 12 .00 (6.00, 28.00) months. Cox regression analysis showed that a preoperative BMI<18.5 kg/m 2 ( HR=2.84, 95% CI: 1.24~6.49, P=0.013) and early postoperative pouchitis ( HR=3.11, 95% CI: 1.22~7.93, P=0.018) were associated with an increased risk of CDP. Conclusions:Preoperative low BMI and pouchitis occurring within 3 months postoperatively are significant risk factors for CDP. Close monitoring and early intervention are recommended for high-risk patients.

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