1.Traditional Chinese Medicine Treats Esophageal Cancer via PI3K/Akt Signaling Pathway: A Review
Wei GUO ; Chen PENG ; Yikun WANG ; Zixuan YU ; Jintao LIU ; Jing DING ; Yijing LI ; Hongxin SUN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(5):302-311
Esophageal cancer (EC) is a highly prevalent malignant tumor in China. The phosphatidylinositol 3-kinase (PI3K)/protein kinase B (Akt) signaling pathway, as one of the key oncogenic pathways, can promote the cell cycle progression, proliferation, migration, and invasion, induce chemoresistance, and inhibit apoptosis and autophagy of EC cells. Traditional Chinese medicine (TCM), with the advantages of targeting multiple points with multiple components to delay cancer progression, can target the PI3K/Akt signaling pathway for EC treatment. This article preliminarily discusses the molecular mechanism and role of the PI3K/Akt signaling pathway in EC and elaborates on the specific targets and efficacy of TCM in treating EC through intervention in the PI3K/Akt signaling pathway in the past five years. TCM materials and extracts inhibiting the PI3K/Akt signaling pathway in EC include Borneolum, spore powder of Ganoderma lucidum without spore coat, extract of Celastrus orbiculatus, root extract of Taraxacum, and Bruceae Fructus oil emulsion. TCM active ingredients exerting the effect include flavonoids, terpenoids, saponins, phenols, polysaccharides, alkaloids, and other compounds. TCM compound prescriptions with such effect include Qige San, Huqi San, Xuanfu Daizhetang, Tongyoutang and its decomposed prescriptions, Liujunzi Tang, and Xishenzhi Formula. In addition, TCM injections such as Compound Kushen Injection and Kang'ai injection also inhibit the PI3K/Akt signaling pathway in EC. This paper summarizes the role of the PI3K/Akt signaling pathway in EC and the TCM interventions, aiming to provide reference for the research and clinical application of new drugs for EC.
2.Efficacy and safety of immune checkpoint inhibitors combined with neoadjuvant chemotherapy in the treatment of early triple-negative breast cancer:a meta-analysis
Zhixuan YANG ; Shuo LI ; Peiyuan WANG ; Hongxin QIE ; Wenlin GONG ; Xiaonan GAO ; Jinglin GAO ; Mingxia WANG
China Pharmacy 2026;37(2):238-243
OBJECTIVE To evaluate the efficacy and safety of immune checkpoint inhibitors (ICIs) combined with neoadjuvant chemotherapy in the treatment of early triple-negative breast cancer (TNBC). METHODS Randomized controlled trials (RCTs) comparing ICIs combined with neoadjuvant chemotherapy (experimental group) versus neoadjuvant chemotherapy alone (control group) were retrieved from PubMed, Cochrane Library, Embase, Web of Science, CNKI, Wanfang Data, and VIP databases, as well as relevant studies published at oncology academic conferences. The search period was from database inception to June 30, 2025. After literature screening, data extraction, and quality assessment, a meta-analysis was performed by using RevMan 5.4 software. RESULTS A total of 6 RCTs involving 3 786 patients were finally included. The meta-analysis results showed that the experimental group had superior event-free survival [HR=0.73, 95%CI (0.62, 0.85), P<0.000 1], overall survival [HR=0.69, 95%CI (0.57, 0.84), P=0.000 3], and pathological complete response (pCR) [OR=1.57, 95%CI (1.37, 1.80), P<0.000 01] compared to the control group. The incidence of ≥grade 3 adverse event (AE), severe AE (SAE), and ≥ grade 3 immune-related adverse event (irAE) in the experimental group was significantly higher than that in the control group. There was no statistically significant difference between the two groups in the incidence of any AE or any irAE (P>0.05). Subgroup analysis revealed that, regardless of programmed cell death ligand 1 expression status (negative or positive),the pCR in the experimental group was significantly higher than that in the control group (P<0.05). Additionally, the pCR of the patients with positive lymph nodes in the experimental group was significantly higher to that in the ontrol group (P<0.05). There was no statistically significant difference in pCR between the two groups with negative lymph nodes (P=0.09). CONCLUSIONS ICIs combined with neoadjuvant chemotherapy can significantly improve event-free survival and overall survival in patients with TNBC, providing patients with long-term survival benefits. However, the risk of ≥ grade 3 AE, SAE and ≥ grade 3 irAE has increased.
3.Gut microbiota and Parkinson's disease.
Lin WANG ; Ying CUI ; Bingyu HAN ; Yitong DU ; Kenish Sirajbhai SALEWALA ; Shiya WANG ; Wenlu ZHAO ; Hongxin ZHANG ; Sichen WANG ; Xinran XU ; Jianpeng MA ; Yan ZHU ; Houzhen TUO
Chinese Medical Journal 2025;138(3):289-297
Emerging evidence suggests that dysbiosis of the gut microbiota is associated with the pathogenesis of Parkinson's disease (PD), a prevalent neurodegenerative disorder. The microbiota-gut-brain axis plays a crucial role in the development and progression of PD, and numerous studies have demonstrated the potential therapeutic benefits of modulations in the intestinal microbiota. This review provides insights into the characterization of the gut microbiota in patients with PD and highlights associations with clinical symptoms and underlying mechanisms. The discussion underscores the increased influence of the gut microbiota in the pathogenesis of PD. While the relationship is not fully elucidated, existing research demonstrates a strong correlation between changes in the composition of gut microbiota and disease development, and further investigation is warranted to explain the specific underlying mechanisms.
Humans
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Parkinson Disease/microbiology*
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Gastrointestinal Microbiome/physiology*
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Dysbiosis/microbiology*
4.Intestinal metabolites in colitis-associated carcinogenesis: Building a bridge between host and microbiome.
Yating FAN ; Yang LI ; Xiangshuai GU ; Na CHEN ; Ye CHEN ; Chao FANG ; Ziqiang WANG ; Yuan YIN ; Hongxin DENG ; Lei DAI
Chinese Medical Journal 2025;138(16):1961-1972
Microbial-derived metabolites are important mediators of host-microbial interactions. In recent years, the role of intestinal microbial metabolites in colorectal cancer has attracted considerable attention. These metabolites, which can be derived from bacterial metabolism of dietary substrates, modification of host molecules such as bile acids, or directly from bacteria, strongly influence the progression of colitis-associated cancer (CAC) by regulating inflammation and immune response. Here, we review how microbiome metabolites short-chain fatty acids (SCFAs), secondary bile acids, polyamines, microbial tryptophan metabolites, and polyphenols are involved in the tumorigenesis and development of CAC through inflammation and immunity. Given the heated debate on the metabolites of microbiota in maintaining gut homeostasis, serving as tumor molecular markers, and affecting the efficacy of immune checkpoint inhibitors in recent years, strategies for the prevention and treatment of CAC by targeting intestinal microbial metabolites are also discussed in this review.
Humans
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Gastrointestinal Microbiome/physiology*
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Animals
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Carcinogenesis/metabolism*
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Colitis-Associated Neoplasms/microbiology*
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Fatty Acids, Volatile/metabolism*
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Bile Acids and Salts/metabolism*
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Colitis/microbiology*
5.Sub-committee of Anesthesiology of Guangzhou Integrated Traditional Chinese and Western Medicine Society.
Yi LU ; Cunzhi LIU ; Wujun GENG ; Xiaozhen ZHENG ; Jingdun XIE ; Guangfang ZHANG ; Chao LIU ; Yun LI ; Yan QU ; Lei CHEN ; Xizhao HUANG ; Hang TIAN ; Yuhui LI ; Hongxin LI ; Heying ZHONG ; Ronggui TAO ; Jie ZHONG ; Yue ZHUANG ; Junyang MA ; Yan HU ; Jian FANG ; Gaofeng ZHAO ; Jianbin XIAO ; Weifeng TU ; Jiaze SUN ; Yuting DUAN ; Bao WANG
Journal of Southern Medical University 2025;45(8):1800-1808
OBJECTIVES:
To explore the efficacy of DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy for management of cancer pain and provide reference for its standardized clinical application. Methods and.
RESULTS:
Recommendations were formulated based on literature review and expert group discussion, and consensus was reached following expert consultation. The consensus recommendations are comprehensive, covering the entire treatment procedures from preoperative assessment and preparation, surgical operation process, postoperative management and traditional Chinese medicine treatment to individualized treatment planning. The study results showed that the treatment plans combining traditional Chinese with Western medicine effectively alleviated cancer pain, reduced the use of opioid drugs, and significantly improved the quality of life and enhanced immune function of the patients. Postoperative follow-up suggested good treatment tolerance among the patients without serious complications.
CONCLUSIONS
The formulated consensus is comprehensive and can provide reference for clinicians to use DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy. The combined treatment has a high clinical value with a good safety profile for management of cancer pain.
Humans
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Medicine, Chinese Traditional
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Cancer Pain/therapy*
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Drugs, Chinese Herbal/therapeutic use*
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Drug Delivery Systems
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Pain Management/methods*
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China
6.Exploration on "Symptom-Syndrome-Drug" Regularity of Traditional Chinese Medicine for Coronary Microvascular Disease Based on Latent Structure Combined with Association Rules
Yilin ZHANG ; Jingjing WEI ; Hongxin GUO ; Lele HUO ; Mingjie ZHANG ; Jianfeng LU ; Aolong WANG ; Mingjun ZHU
Traditional Chinese Drug Research & Clinical Pharmacology 2024;35(5):730-740
Objective To systematically explore the traditional Chinese medicine(TCM)common symptoms,syndrome elements,clinical syndrome differentiation,and medication rules of coronary microvascular disease(CMVD),and to provide a reference for quantitative criteria of clinical differentiation of CMVD,specification of the diagnosis and efficacy evaluation of TCM clinical syndrome,and guidance of clinical medication.Methods The databases including CNKI,Wanfang,VIP,and SinoMed were searched for research papers on the treatment of CMVD by TCM published from database inception to May 16,2023.Relevant information of the included literature was extracted and the database was established.Then,the frequency statistics of symptoms,syndrome elements,syndrome types and Chinese medicinals were carried out.Latent structural models were constructed using Latern 5.0 and Rstudio softwares respectively for comprehensive clustering and association rule analysis,so as to explore the symptom characteristics,syndrome elements distribution,common syndromes and medication rules for TCM treatment of CMVD.Results A total of 107 literature were included,involving 36 syndromes,17 syndrome elements,121 symptoms and 143 Chinese medicinals.It was speculated that the main syndrome element of CMVD was blood stasis,followed by qi deficiency,qi stagnation,phlegm turbidity,yin deficiency and yang deficiency.The main type of syndrome was qi deficiency and blood stasis,followed by heart blood stasis obstruction,qi stagnation and blood stasis,phlegm blended with stasis,qi-yin deficiency,etc..The main medicinals were Chuanxiong Rhizoma,Salviae Miltiorrhizae Radix et Rhizoma,Angelica Sinensis Radix and Astragali Radix.The medicinals used in the treatment of CMVD were classified as blood-activating and stasis-resolving drugs,deficiency-tonifying drugs,qi-regulating drugs in terms of their efficacy.Conclusion The location of CMVD is in heart,and related to liver and kidney.The syndrome of CMVD is deficiency in origin and excess in superficiality.Blood stasis runs through the development of the disease.The treatment is mainly to activate blood circulation and remove stasis,activate meridians and relieve pain,which should be supplemented with the therapies of tonifying and invigorating qi,soothing the liver and regulating qi,dispelling phlegm and dissipating masses according to the patients'syndromes.
7.Alleviative effect of ginsenoside Rg1 on brain injury induced by chronic intermittent hypoxia in mice and its mechanism
Yan MENG ; Hongxin WANG ; Yuhong YANG
Journal of Jilin University(Medicine Edition) 2024;50(5):1196-1204
Objective:To discuss the alleviative effect of ginsenoside Rg1 on chronic intermittent hypoxia(CIH)-induced brain injury in the mice,and to clarify its possible mechanism.Methods:Forty male C57BL/6 mice were randomly divided into control group,model group,inhibitor group(treated with calpain-1 inhibitor),low dose of ginsenoside Rg1 group(treated with 10 mg·kg-1 ginsenoside Rg1),and high dose of ginsenoside Rg1 group(treated with 20 mg·kg-1 ginsenoside Rg1).Except for the control group,the mice in all other groups were placed in a hypoxic chamber with automatically regulated oxygen concentration to induce hypoxic brain injury.The peripheral blood oxygen saturation(SpO2)of tail of the mice in various groups was detected;the escape latencies and path lengths and the frequency of swimming route crossing the target quadrant of the mice in various groups were determined by Morris water maze test;the levels of blood urea nitrogen(BUN),lactate(LA),malondialdehyde(MDA),interleukin-6(IL-6),and tumor necrosis factor-α(TNF-α)and the activities of superoxide dismutase(SOD)and lactate dehydrogenase(LDH)in serum of the mice in various groups were detected by kits;the degrees of brain tissue injury of the mice in various groups were observed by HE staining.The levels of reactive oxygen species(ROS)in CA1 region of hippocampus tissue of the mice in various groups were detected by dihydroethidium(DHE)probe;the expression levels of calpain-1,IL-6,and TNF-α proteins in brain tissue of the mice in various groups were detected by Western blotting method.Results:Compared with control group,the SpO2 of the mice in model group was significantly decreased(P<0.01),indicating that the model was successfully established.Compared with model group,the SpO2 of the mice in inhibitor group,low dose of ginsenoside Rg1 group and high dose of ginsenoside Rg1 group were significantly increased(P<0.01).The Morris water maze test results showed that compared with control group,the escape latency and path length of the mice in model group were significantly prolonged(P<0.01),and the frequency of swimming route of crossing the target quadrant was significantly decreased;compared with model group,the escape latencies and path lengths of the mice in inhibitor group,low dose of ginsenoside Rg1 group and high dose of ginsenoside Rg1 group were significantly shortened(P<0.01),and the frequency of swimming route of crossing the target quadrant was significantly increased.Compared with control group,the levels of BUN,LA,MDA,IL-6,and TNF-α in serum of the mice in model group were significantly increased(P<0.01),while the activity of LDH was significantly increased(P<0.01),and the activity of SOD was significantly decreased(P<0.01);compared with model group,the levels of BUN,LA,MDA,IL-6,and TNF-α in serum of the mice in inhibitor group,low dose of ginsenoside Rg1 group and high dose of ginsenoside Rg1 group were significantly decreased(P<0.01),while the activities of LDH were significantly decreased(P<0.01),and the activities of SOD were significantly increased(P<0.01).The HE staining results showed that compared with control group,the pyramidal neurons in CA1 region of hippocampus tissue of the mice in model group were loosely arranged,while some neurons were triangular,with nuclear pyknosis,cytoplasmic hyperchromasia,and a few neurons were lost,indicating obvious hypoxic neuronal injury;compared with model group,the hypoxic neuronal injury in CA1 region in hippocampus tissue of the mice in inhibitor group,low dose of ginsenoside Rg1 group and high dose of ginsenoside Rg1 group was effectively alleviated.The DHE probe detection showed that compared with control group,the level of ROS in CA1 region in hippocampus tissue of the mice in model group was significantly increased(P<0.01);compared with model group,the levels of ROS in CA1 region in hippocampus tissue of the mice in inhibitor group,low dose of ginsenoside Rg1 group and high dose of ginsenoside Rg1 group were significantly decreased(P<0.01).The Western blotting results showed that compared with control group,the expression levels of calpain-1,TNF-α,and IL-6 proteins in hippocampus tissue of the mice in model group were significantly increased(P<0.01);compared with model group,the expression levels of calpain-1,TNF-α,and IL-6 proteins in hippocampus tissue of the mice in inhibitor group,low dose of GRg1 group and high dose of GRg1 group were significantly decreased(P<0.01).Conclusion:Ginsenoside Rg1 can alleviate brain tissue injury of the mice induced by CIH;its mechanism may be related to the inhibition of brain tissue inflammatory response and oxidative stress,and the downregulation of calpain-1 expression.
8.Study on the Mechanism of Hepatotoxicity Induced by Rhubarb Based on Network Pharmacology and Experimental Verification
Hongxin WANG ; Shiyu ZHANG ; Yang JIN ; Taotao CAO ; Qin QIN ; Wen LIU
World Science and Technology-Modernization of Traditional Chinese Medicine 2024;26(1):167-178
Objective The potential mechanism of hepatotoxicity induced by rhubarb was preliminarily explored by network pharmacology and verified by cell experiments.Methods Based on network pharmacology,component collection and target prediction are carried out through multiple databases.PPI network construction,GO enrichment analysis and KEGG pathway analysis were combined with software to systematically predict the mechanism of hepatotoxicity induced by rhubarb.The pathway information predicted by network pharmacology was verified by primary hepatocyte experiments and Western blot experiments.Results The results of network pharmacology showed that RH was the main component of hepatotoxicity induced by rhubarb.Seventeen core targets of hepatotoxicity induced by rhubarb were obtained.KEGG results suggested that DNA damage and apoptosis were one of the key mechanisms of hepatotoxicity induced by rhubarb.The results of primary hepatocytes and Western blot showed that RH could inhibit the viability of primary hepatocytes in a time-dose dependent manner.ABT and SFP can significantly reduce the toxicity of RH on primary liver cells in mice,and RFP can increase the toxicity of RH to mouse primary liver cells.Upregulation of γ-H2AX and PARP-1 protein in primary liver cells of mice after treatment with different concentrations of RH.Conclusion RH in rhubarb can significantly inhibit the viability of mouse primary hepatocytes,and its toxicity to mouse primary hepatocytes is mainly caused by the metabolic activation of RH by CYP 2C9.RH can activate PARP-1 protein,phosphorylate H2AX,induce DNA damage and apoptosis in mouse primary hepatocytes.
9.Risk factors and predictive model construction of brain metastases in patients with limited-stage SCLC undergoing preventive brain radiotherapy after remission
Hongxin YU ; Yan BAI ; Yuan GONG ; Jianzhuang WANG ; Zhigang FAN
Journal of International Oncology 2024;51(7):453-457
Objective:To investigate the risk factors of brain metastases in patients with limited-stage small cell lung cancer (SCLC) undergoing preventive brain radiotherapy after remission and to construct prediction model.Methods:A total of 231 patients with limited-stage SCLC who received chemoradiotherapy and achieved remission in 3201 Hospital from January 2015 to January 2023 were selected as the study objects. Logistic regression was used to analyze the influencing factors on the occurrence of brain metastases after remission in patients with limited-stage SCLC who received preventive brain radiotherapy. Binary logistic regression was used to construct a prediction model. Receiver operator characteristic (ROC) curve was used to evaluate the diagnostic efficacy of each indicator and the prediction model on the occurrence of brain metastases in patients.Results:The median follow-up time of the whole group was 73 months, and 42 cases of brain metastases occurred, with an incidence rate of 18.18%. There were statistically significant differences in the incidence of brain metastases among patients with different T stage ( Z=-4.97, P<0.001), clinical stage ( Z=-8.17, P<0.001), and time from initial treatment to thoracic radiotherapy ( χ2=21.38, P<0.001). Multivariate analysis showed that T stage (stage T 3: OR=6.29, 95% CI: 1.58-25.06, P=0.009; stage T 4: OR=12.91, 95% CI: 3.74-44.57, P<0.001), clinical stage (stageⅡ, OR=8.75, 95% CI: 2.89-26.51, P<0.001; stage Ⅲ, OR=18.43, 95% CI: 7.24-46.92, P<0.001), and time from initial treatment to thoracic radiotherapy ( OR=0.25, 95% CI: 0.11-0.56, P=0.001) were independent influencing factors on the occurrence of brain metastases after remission in patients with limited-stage SCLC who received preventive brain radiotherapy. The diagnostic prediction model based on the above indicators was logit ( P) =-19.91+1.84× stage T 3 +2.56× stage T 4+2.17× stage Ⅱ+2.91× stage Ⅲ-1.38× time from initial treatment to thoracic radiotherapy. ROC curve analysis showed that the area under the curve of T stage, clinical stage, time from initial treatment to thoracic radiotherapy, and the diagnostic prediction model for predicting the occurrence of brain metastasis after remission in patients with limited-stage SCLC who received preventive brain radiotherapy were 0.728, 0.660, 0.687, and 0.846, respectively, and the area under the curve of the diagnostic prediction model was significantly larger than those of the other indicators (all P<0.05) . Conclusion:T stage, clinical stage and the time from initial treatment to thoracic radiotherapy are all influential factors for the occurrence of brain metastases after remission in patients with limited-stage SCLC who received preventive brain radiotherapy. The diagnostic prediction model based on the above indicators can help to guide clinicians to accurately screen patients at high risk of brain metastases in the early stage.
10.Non-targeted metallomics based on synchrotron radiation X-ray fluorescence spectroscopy and machine learning for screening inorganic or methylmercury-exposed rice plants
Piaoxue AO ; Chaojie WEI ; Hongxin XIE ; Yuqian FEI ; Liwei CUI ; Wei WANG ; Chenglong TU ; Lihai SHANG ; Bai LI ; Yufeng LI
Journal of Environmental and Occupational Medicine 2024;41(10):1095-1102
Background Mercury, as a global heavy metal pollutant, poses a serious threat to human health. The toxicity of mercury depends on its chemical form. Distinguishing the forms of mercury in the environment is of great significance for mercury management and reducing human mercury exposure risks. Objective To establish a non-targeted metallomics method based on synchrotron radiation X-ray fluorescence (SRXRF) spectroscopy combined with machine learning to screen inorganic mercury (IHg) or methylmercury (MeHg) exposed rice plants. Methods Rice seeds were exposed to ultra-pure water (control group), 0.1 mg·L−1 IHg (IHg group) or MeHg (MeHg group) solutions, respectively. After germination, the seedlings were cultured for 21 d, and rice leaves were collected, dried, weighed, and pressed. The content of metallome in rice leaves was determined by SRXRF. Machine learning models including soft independent modeling cluster analysis (SIMCA), partial least squares discriminant analysis (PLS-DA), and logistic regression (LR) were used to classify the SRXRF full spectra of different groups and find the best model to distinguish rice exposed to IHg or MeHg. Besides, characteristic elements were selected as input parameters to optimize the model by improving computing speed and reducing model calculation. Results The SRXRF spectral intensities of the control group, IHg group, and MeHg group were different, indicating that exposure to IHg and MeHg can interfere the homeostasis of metallome in rice leaves. The results of principal component analysis (PCA) of SRXRF spectra showed that the control group could be well distinguished from the mercury exposed groups, but the IHg group and the MeHg group were mostly overlapped. The accuracy rates of the three models (PLS-DA, SIMCA, and LR) were higher than 98% for the training set, higher than 95% for the validation set, and higher than 94% for the cross-validation set. Besides, the accuracy of the LR model was higher than that of the PLS-DA model and the SIMCA model. Furthermore, the accuracy was 92.05% when using characteristic elements K, Ca, Mn, Fe, and Zn selected by LR to distinguish the IHg group and the MeHg group. Compared with the full spectra model, although the prediction accuracy of the characteristic spectral model decreased, the input parameters of the model decreased by 99.51%, and precision, recall, and F1 score were above 84.48%, indicating that the model could distinguish rice exposed to different mercury forms. Conclusion Non-targeted metallomics method based on SRXRF and machine learning can be applied for high-throughput screening of rice exposed to different forms of mercury and thus decrease the risks of people being exposed to mercury.

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