1.Mechanisms of Sini San in Regulation of Gut Microbiota Against Depression and Liver Injury in CUMS Rats
Junling LI ; Yan ZHANG ; Lei WANG ; Fang QI ; Zhenzhen CHEN ; Tianxing CHEN ; Yuhang LIU ; Xueying WANG ; Xianwen TANG ; Yubo LI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):33-40
ObjectiveTo explore the efficacy and mechanisms of Sini San in the treatment of depression and liver injury based on gut microbiota. MethodsThirty-two male Sprague-Dawley (SD) rats were randomly divided into a normal group, model group (M), Sini San group (MS, 2.5 g·kg-1), and fluoxetine group (MF, 2 mg·kg-1). Except for the normal group, rats in the other three groups were subjected to chronic unpredictable mild stress (CUMS). After 8 weeks, the open-field test and sucrose preference test were conducted. Enzyme-linked immunosorbent assay (ELISA) was used to detect serum corticosterone (CORT), adrenocorticotropic hormone (ACTH), corticotropin-releasing factor (CRF), lipopolysaccharide (LPS), Zonulin, interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), γ-aminobutyric acid (GABA) levels in the hippocampus and prefrontal cortex, and brain-derived neurotrophic factor (BDNF) levels in the hippocampus. Real-time quantitative polymerase chain reaction (Real-time PCR) was used to detect hippocampal BDNF mRNA expression. Serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) levels were measured using the ultraviolet lactate dehydrogenase method. The ultrastructure of the intestinal epithelium was observed by electron microscopy, and gut microbiota in rat feces were analyzed using 16S rDNA high-throughput sequencing. ResultsCompared with the normal group, the sucrose preference of rats in the model group was significantly reduced (P0.01), whereas it was significantly increased in the Sini San group compared with the model group (P0.05). Compared with the normal group, hippocampal GABA protein levels and BDNF mRNA expression in the model group were significantly decreased (P0.05), and compared with the model group, both were significantly increased in the Sini San group (P0.05, P0.01). Compared with the normal group, serum LPS and Zonulin levels in the model group were significantly increased (P0.05, P0.01), and compared with the model group, Zonulin levels in the Sini San group were significantly decreased (P0.05). No obvious changes were observed in the ultrastructure of the jejunal mucosa among groups. Compared with the normal group, widened and blurred tight junctions, sparse and shortened microvilli, and mitochondrial swelling with cristae disruption in epithelial cells were observed in the ileal and colonic mucosa of the model group, which were markedly improved in the Sini San and fluoxetine groups. The results of 16S rDNA high-throughput sequencing showed that Sini San improved CUMS-induced dysbiosis of Bacteroidetes and Proteobacteria. Correlation analysis indicated that Bacteroidetes and Proteobacteria were significantly correlated with depression-related indicators, liver function, and intestinal mucosal permeability. ConclusionSini San exerts antidepressant and hepatoprotective effects by improving Bacteroidetes and Proteobacteria and inhibiting the increase in intestinal mucosal permeability in CUMS rats.
2.Yimei Baijiang Formula Treats Colitis-associated Colorectal Cancer in Mice via NF-κB Signaling Pathway
Qian WU ; Xin ZOU ; Chaoli JIANG ; Long ZHAO ; Hui CHEN ; Li LI ; Zhi LI ; Jianqin LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):119-130
ObjectiveTo explore the effects of Yimei Baijiang formula (YMBJF) on colitis-associated colorectal cancer (CAC) and the nuclear factor kappaB (NF-κB) signaling pathway in mice. MethodsSixty male Balb/c mice of 4-6 weeks old were randomized into 6 groups: Normal, model, capecitabine (0.83 g
3.Mechanisms of Sini San in Regulation of Gut Microbiota Against Depression and Liver Injury in CUMS Rats
Junling LI ; Yan ZHANG ; Lei WANG ; Fang QI ; Zhenzhen CHEN ; Tianxing CHEN ; Yuhang LIU ; Xueying WANG ; Xianwen TANG ; Yubo LI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):33-40
ObjectiveTo explore the efficacy and mechanisms of Sini San in the treatment of depression and liver injury based on gut microbiota. MethodsThirty-two male Sprague-Dawley (SD) rats were randomly divided into a normal group, model group (M), Sini San group (MS, 2.5 g·kg-1), and fluoxetine group (MF, 2 mg·kg-1). Except for the normal group, rats in the other three groups were subjected to chronic unpredictable mild stress (CUMS). After 8 weeks, the open-field test and sucrose preference test were conducted. Enzyme-linked immunosorbent assay (ELISA) was used to detect serum corticosterone (CORT), adrenocorticotropic hormone (ACTH), corticotropin-releasing factor (CRF), lipopolysaccharide (LPS), Zonulin, interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), γ-aminobutyric acid (GABA) levels in the hippocampus and prefrontal cortex, and brain-derived neurotrophic factor (BDNF) levels in the hippocampus. Real-time quantitative polymerase chain reaction (Real-time PCR) was used to detect hippocampal BDNF mRNA expression. Serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) levels were measured using the ultraviolet lactate dehydrogenase method. The ultrastructure of the intestinal epithelium was observed by electron microscopy, and gut microbiota in rat feces were analyzed using 16S rDNA high-throughput sequencing. ResultsCompared with the normal group, the sucrose preference of rats in the model group was significantly reduced (P<0.01), whereas it was significantly increased in the Sini San group compared with the model group (P<0.05). Compared with the normal group, hippocampal GABA protein levels and BDNF mRNA expression in the model group were significantly decreased (P<0.05), and compared with the model group, both were significantly increased in the Sini San group (P<0.05, P<0.01). Compared with the normal group, serum LPS and Zonulin levels in the model group were significantly increased (P<0.05, P<0.01), and compared with the model group, Zonulin levels in the Sini San group were significantly decreased (P<0.05). No obvious changes were observed in the ultrastructure of the jejunal mucosa among groups. Compared with the normal group, widened and blurred tight junctions, sparse and shortened microvilli, and mitochondrial swelling with cristae disruption in epithelial cells were observed in the ileal and colonic mucosa of the model group, which were markedly improved in the Sini San and fluoxetine groups. The results of 16S rDNA high-throughput sequencing showed that Sini San improved CUMS-induced dysbiosis of Bacteroidetes and Proteobacteria. Correlation analysis indicated that Bacteroidetes and Proteobacteria were significantly correlated with depression-related indicators, liver function, and intestinal mucosal permeability. ConclusionSini San exerts antidepressant and hepatoprotective effects by improving Bacteroidetes and Proteobacteria and inhibiting the increase in intestinal mucosal permeability in CUMS rats.
4.Yimei Baijiang Formula Treats Colitis-associated Colorectal Cancer in Mice via NF-κB Signaling Pathway
Qian WU ; Xin ZOU ; Chaoli JIANG ; Long ZHAO ; Hui CHEN ; Li LI ; Zhi LI ; Jianqin LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):119-130
ObjectiveTo explore the effects of Yimei Baijiang formula (YMBJF) on colitis-associated colorectal cancer (CAC) and the nuclear factor kappaB (NF-κB) signaling pathway in mice. MethodsSixty male Balb/c mice of 4-6 weeks old were randomized into 6 groups: Normal, model, capecitabine (0.83 g
5.Construction and Evaluation of "Constitution-disease-syndrome" Trinity Model for Rodents with Qi Deficiency
Yasheng DENG ; Jiang LIN ; Yujiang XI ; Qian ZHOU ; Yanping FAN ; Wenyue LI ; Yonghui LIU ; Zhaobing NI ; Qiu CHEN ; Xi MING
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):274-284
The theory of constitution in traditional Chinese medicine (TCM) has emerged as a new discipline in recent years. Constitution plays a vital role in the onset,progression,transformation,and prognosis of diseases. At present,some clinical scholars have adopted a novel diagnostic and treatment model of "constitution differentiation-disease identification-syndrome differentiation",in which constitution is regarded as a core element throughout the diagnostic and therapeutic process. Constitution is closely associated with etiology,onset,pathogenesis,syndrome differentiation,and treatment. Against this background,the construction of animal models based on constitution holds far-reaching significance for advancing clinical research. This paper focuses on the construction and evaluation of rodent models with Qi-deficiency constitution,aiming to explore how to further induce Qi-deficiency syndromes and related disease states on the basis of Qi-deficiency constitution models,thereby developing an integrated animal model that embodies the trinity of "constitution-disease-syndrome". The establishment of this model not only provides a solid experimental foundation for the development of new therapies and drugs in TCM targeting specific constitutions,diseases,and syndromes,but also greatly promotes the modernization and scientific advancement of TCM theory. By comprehensively applying multidisciplinary technologies and methods,the study evaluates the model's validity,reliability,and practicality,with the aim of opening new avenues for future research in TCM and promoting the development of the field.
6.Prediction of postoperative pulmonary complications in video-assisted thoracic surgery for lung cancer based on cardiopulmonary exercise testing and machine learning
Lei GUO ; Fusong LIU ; Zhilong OU ; Lan GUO ; Tiantian LI ; Chongfeng ZHOU ; Kun LUAN ; Xiaoman CHEN ; Yucheng WEI
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(01):44-52
Objective To develop a predictive model for postoperative pulmonary complications (PPC) following video-assisted thoracic surgery (VATS) in lung cancer patients by integrating cardiopulmonary exercise testing (CPET) parameters and machine learning techniques. Methods A retrospective analysis was conducted on patients with early-stage non-small cell lung cancer who underwent CPET and VATS at Guangdong Provincial People’s Hospital between October 2021 and July 2023. Patients were divided into a PPC group and a non-PPC group. The least absolute shrinkage and selection operator (LASSO) regression was used to select important features associated with PPC. Six machine learning algorithms were utilized to construct prediction models, including logistic regression, support vector machine, k-nearest neighbors, random forest, gradient boosting machine, and extreme gradient boosting. The optimal model was interpreted using SHapley Additive exPlanations (SHAP). Results A total of 325 patients were included, with an average age of 60.36 years, and 55.1% were male. Significant differences were observed between the PPC and non-PPC groups in age, diabetes, coronary heart disease, surgical approach, forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), FVC% predicted, peak oxygen uptake (peak VO2), anaerobic threshold (AT), and ventilatory equivalent for carbon dioxide slope (VE/VCO2 slope) (P<0.05). In the predictive model constructed by selecting 7 key features using LASSO regression, the random forest model demonstrated the best overall performance across various metrics, with an area under the receiver operating curve of 0.930, an F1 score of 0.836, and a Brier score of 0.133 in the training set. It also exhibited good predictive ability and calibration in the test set. SHAP analysis ranked feature importance as follows: peak VO2, VE/VCO2 slope, age, FEV1, smoking history, diabetes, and surgical approach. Conclusion Integrating CPET parameters, the random forest model can effectively identify high-risk patients for PPC and has the potential for clinical application.
7.Impact of number of positive regional lymph nodes in N1 stage on the prognosis of patients with non-small cell lung cancer: A propensity score matching study
Dandan LIU ; Jiachen WANG ; Lidan CHANG ; Jia CHEN ; Ranran KONG ; Shiyuan LIU ; Minxia ZHU ; Jiantao JIANG ; Shaomin LI ; Zhengshui XU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(01):63-71
Objective To explore the impact of number of positive regional lymph nodes (nPRLN) in N1 stage on the prognosis of non-small cell lung cancer (NSCLC) patients. Methods Patients with TxN1M0 stage NSCLC who underwent lobectomy and mediastinal lymph node dissection from 2010 to 2015 were screened from SEER database (17 Regs, 2022nov sub). The optimal cutoff value of nPRLN was determined using X-tile software, and patients were divided into 2 groups according to the cutoff value: a nPRLN≤optimal cutoff group and a nPRLN>optimal cutoff group. The influence of confounding factors was minimized by propensity score matching (PSM) at a ratio of 1 : 1. Kaplan-Meier curves and Cox proportional hazards models were used to evaluate overall survival (OS) and lung cancer-specific survival (LCSS) of patients. Results A total of 1316 patients with TxN1M0 stage NSCLC were included, including 662 males and 654 females, with a median age of 67 (60, 73) years. The optimal cutoff value of nPRLN was 3, with 1165 patients in the nPRLN≤3 group and 151 patients in the nPRLN>3 group. After PSM, there were 138 patients in each group. Regardless of before or after PSM, OS and LCSS of patients in the nPRLN≤3 group were superior to those in the nPRLN>3 group (P<0.001). N1 stage nPRLN>3 was an independent prognostic risk factor for OS [HR=1.52, 95%CI (1.22, 1.89), P<0.001] and LCSS [HR=1.72, 95%CI (1.36, 2.18), P<0.001]. Conclusion N1 stage nPRLN>3 is an independent prognostic risk factor for NSCLC patients in TxN1M0 stage, which may provide new evidence for future revision of TNM staging N1 stage subclassification.
8.Analysis of prevalence of depressive symptoms and associated factors among students in Zhejiang Province
SHI Yingyun, GU Fang, XIA Jiayue, LIU Qinye, WEI Xiaoyu, CHEN Fen, WEI Yizhou, LIU Weina
Chinese Journal of School Health 2026;47(2):232-236
Objective:
To investigate the prevalence of depressive symptoms and their associated factors among students in Zhejiang Province, so as to provide evidence for targeted prevention strategies.
Methods:
A stratified cluster random sampling method was used to select 23 829 college students and primary and secondary school students aged 11-22 years in Zhejiang Province from December 2019 to February 2020. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale (CES-D). Three machine learning algorithms, including Logistic regression, random forest, and eXtreme Gradient Boosting (XGBoost), were applied to construct predictive models, and key associated factors were identified by comparing model performance.
Results:
The detection rate of depressive symptoms among students in Zhejiang Province was 19.92%; the rates were 17.20% in boys and 22.87% in girls( χ 2=164.89, P <0.05). The CES-D total score was 9.00(4.00,13.00). Multiple Logistic regression analysis revealed that loneliness had the strongest association with depressive symptoms ( AOR =9.58, 95% CI =8.90-10.30), while bullying exposure ( AOR =4.39, 95% CI =4.02-4.80), female students( AOR =1.81, 95% CI =1.68-1.94),never eating breakfast ( AOR = 2.34,95% CI =2.00-2.67) and overweight/obesity( AOR =1.10,95% CI =1.08-1.12) were significant associated factors of depressive symptoms among students (all P <0.05). Analysis based on the XGBoost model produced highly consistent results, identifying the above 5 factors as the core features with the highest correlation strength (all P <0.05).
Conclusions
Female, loneliness, bullying exposure, frequency of weekly breakfast and BMI are strongly associated with depressive symptoms among students. Mental health education for high risk groups should be strengthened, and coordinated prevention efforts between families and schools are recommended.
9.Effect and mechanism of folic acid-modified NK cell-derived exosomes delivering reovirus against ovarian cancer
YE Rui1,2 ; DAI Xiaofeng3 ; LIU Xiong1 ; CHEN Liang4 ; ZHANG Jing5 ; ZHANG Yingchun5 ; GUO Ting6 ; ZHAO Xing1,2
Chinese Journal of Cancer Biotherapy 2026;33(2):120-131
[摘 要] 目的:开发新型溶瘤呼肠孤病毒(Reo)递送系统,以克服中和抗体对Reo的中和作用并提升其肿瘤靶向性。方法:通过切向流过滤联合超高速离心法制备自然杀伤细胞外泌体(NKexo),叶酸(FA)修饰后采用挤压法包载Reo,构建FA-NKexo-Reo递送系统;通过透射电镜(TEM)、纳米粒径分析、蛋白质印迹(WB)法、核磁共振氢谱及流式细胞术等技术表征其理化性质;采用CCK-8、流式细胞术、Transwell实验及激光共聚焦显微镜评估FA-NKexo-Reo递送系统体外细胞毒性及细胞摄取能力;通过人卵巢癌裸鼠皮下移植瘤模型评价FA-NKexo-Reo的肿瘤靶向性、疗效及安全性。结果:FA-NKexo-Reo粒径为(94.0 ± 28.5)nm,Zeta电位为(-21.26 ± 1.57)mV,包封率达(49.7 ± 15.6)%;在中和抗体的存在下,FA-NKexo-Reo对卵巢癌细胞SKOV3和A2780仍可表现出显著的细胞毒性(P < 0.01);荷瘤鼠活体成像显示FA-NKexo-Reo肿瘤靶向性显著优于NKexo组,肿瘤抑制率提升60%(P < 0.001)。结论:成功制备FA-NKexo-Reo递送系统,在中和抗体的存在下,FA-NKexo-Reo可保护并靶向递送Reo到高表达叶酸受体的卵巢癌细胞,从而增强Reo的抗肿瘤作用。
10.Efficacy and safety of HLX02 versus Herceptin combined with pertuzumab in neoadjuvant therapy for HER-2 positive breast cancer: a multicenter study based on propensity score matching
LIN Muyun1,2 ; WU Xiuping3 ; ZHENG Zifang4 ; ZHENG Changyue5 ; LI Kui1,2 ; LIU Yiying1,2 ; CHEN Haiying1,2 ; SU Siying1,2 ; LI Hang1,2
Chinese Journal of Cancer Biotherapy 2026;33(2):199-208
[摘 要] 目的:评估汉曲优(HLX02,Zercepac®)与帕妥珠单抗联合化疗在人表皮生长因子受体2(HER-2)阳性、非特殊型浸润性乳腺癌患者中的新辅助治疗效果,并与传统曲妥珠单抗原研药赫赛汀联合帕妥珠单抗方案的疗效和安全性进行对比。方法:本研究为一项多中心回顾性队列研究。纳入2020年5月至2024年9月于莆田学院附属医院及漳州正兴医院接受汉曲优或赫赛汀(均联合帕妥珠单抗及化疗)新辅助治疗的132例HER-2阳性乳腺癌患者。主要终点为病理完全缓解(pCR)率(依据Miller-Payne系统G5级定义)。次要终点包括客观缓解率(ORR,基于RECIST 1.1标准)、不良事件(采用CTCAE 5.0和PRO-CTCAE标准评估)发生率、生活质量(EORTC QLQ-C30量表)及治疗费用。采用SPSS 27.0软件进行统计分析,为控制混杂偏倚,应用倾向性评分匹配(PSM)以1∶1比例匹配组间基线特征。结果:经筛选后共117例患者纳入分析(汉曲优组65例,赫赛汀组52例)。经PSM匹配后,两组各42例患者,基线特征均衡。汉曲优组与赫赛汀组的pCR率无显著差异(66.67% vs 69.05%,P = 0.815)。两组的ORR(83.33% vs 85.71%,P = 0.763)、各级别不良事件发生率及生活质量评分均无统计学差异(均P > 0.05)。然而,汉曲优组患者自付费用显著低于赫赛汀组[(40 358.82 ± 15 042.69)元 vs (51 170.20 ± 15 664.63)元,P = 0.002]。结论:本真实世界研究表明,在新辅助治疗中,汉曲优联合帕妥珠单抗相较于赫赛汀联合帕妥珠单抗,在HER-2阳性IBC-NST患者中表现出相当的疗效和相似的安全性,且能显著减轻患者的经济负担,为国产生物类似药的临床应用提供了循证依据。


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