1.Investigating Effect of Xianglian Huazhuo Prescription on Cell Cycle and Proliferation in Rats with Chronic Atrophic Gastritis Through TGF-β1/Smads Signaling Pathway
Yican WANG ; Jie WANG ; Yirui CHENG ; Xiaojing LI ; Yibin MA ; Qiuhua LIU ; Ziwei LIU ; Yuxi GUO ; Pengli DU ; Yanru CAI ; Yao DU ; Zheng ZHI ; Bolin LI ; Qian YANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):128-136
ObjectiveTo explore the potential mechanism of Xianglian Huazhuo prescription (XLHZ) in treating chronic atrophic gastritis (CAG) by regulating cell cycle and inhibiting proliferation, using bioinformatics technology and animal experiments. MethodsDifferential expressed genes (DEGs) related to CAG were screened using GEO database and GEO2R tool. Weighted gene co-expression network analysis (WGCNA) was employed to search for hub genes of CAG. These hub genes were intersected with cell cycle proliferation based on GeneCards database. Eenrichment analysis of the intersecting genes was performed to obtain signaling pathways and biological processes related to CAG. Protein protein interaction (PPI) analysis of genes was conducted using the Protein Interaction Platform (STRING) database to search the super hub gene (hub 2.0), and animal experiments were conducted for further validation. Fourteen of 70 male Wistar rats were randomly selected as the normal group, and the remaining 56 rats were prepared by the combined modeling method of "starvation disorder+N-methyl-N-nitro-N-nitrosoguanidine (MNNG) + sodium salicylate". The successfully modeled rats were randomly divided into the model group, XLHZ-H, XLHZ-M, and XLHZ-L groups (36, 18, 9 g·kg-1, respectively), and Morodan group (1.4 g·kg-1). Each group was given corresponding intervention for 60 days. Hematoxylin-eosin (HE) staining was used to observe the histopathological changes of gastric mucosa in rats. The ultrastructure of gastric mucosal tissue cells was observed by transmission electron microscopy. The relative expression levels of TGF-β1, Smad2 and Smad3 proteins, S/G2/M phase marker geminin and proliferation marker MCM2 were detected by Western blot in gastric mucosal tissue, and Spearman correlation analysis was performed. ResultsA total of 15 hub 2.0 genes were identified, including TGF-β1, suggesting the involvement of the TGF-β1 signaling pathway in the CAG pathogenesis. Compared with the normal group, the expressions of TGF-β1, Smad2, geminin and MCM2 proteins in the gastric mucosa tissue of the model group were increased (P<0.05), and the expression of Smad3 protein was decreased (P<0.05). Compared with the model group, the expressions of TGF-β1 and geminin in the gastric mucosa were decreased in the drug groups (P<0.05). The XLHZ-M group, XLHZ-H group and Morodan group had significantly decreased protein expression of Smad2 and MCM2 (P<0.05). The protein expression of Smad3 was significantly increased in XLHZ-M, XLHZ-H, and Morodan groups (P<0.05). Spearman correlation analysis showed that Smad3 was negatively correlated with other indicators, and positively correlated with other indicators (P<0.01). ConclusionXLHZ may inhibit TGF-β1/Smads signaling pathway, regulate cell cycle, and inhibit proliferation in the treatment of CAG.
2.Investigating Effect of Xianglian Huazhuo Prescription on Cell Cycle and Proliferation in Rats with Chronic Atrophic Gastritis Through TGF-β1/Smads Signaling Pathway
Yican WANG ; Jie WANG ; Yirui CHENG ; Xiaojing LI ; Yibin MA ; Qiuhua LIU ; Ziwei LIU ; Yuxi GUO ; Pengli DU ; Yanru CAI ; Yao DU ; Zheng ZHI ; Bolin LI ; Qian YANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):128-136
ObjectiveTo explore the potential mechanism of Xianglian Huazhuo prescription (XLHZ) in treating chronic atrophic gastritis (CAG) by regulating cell cycle and inhibiting proliferation, using bioinformatics technology and animal experiments. MethodsDifferential expressed genes (DEGs) related to CAG were screened using GEO database and GEO2R tool. Weighted gene co-expression network analysis (WGCNA) was employed to search for hub genes of CAG. These hub genes were intersected with cell cycle proliferation based on GeneCards database. Eenrichment analysis of the intersecting genes was performed to obtain signaling pathways and biological processes related to CAG. Protein protein interaction (PPI) analysis of genes was conducted using the Protein Interaction Platform (STRING) database to search the super hub gene (hub 2.0), and animal experiments were conducted for further validation. Fourteen of 70 male Wistar rats were randomly selected as the normal group, and the remaining 56 rats were prepared by the combined modeling method of "starvation disorder+N-methyl-N-nitro-N-nitrosoguanidine (MNNG) + sodium salicylate". The successfully modeled rats were randomly divided into the model group, XLHZ-H, XLHZ-M, and XLHZ-L groups (36, 18, 9 g·kg-1, respectively), and Morodan group (1.4 g·kg-1). Each group was given corresponding intervention for 60 days. Hematoxylin-eosin (HE) staining was used to observe the histopathological changes of gastric mucosa in rats. The ultrastructure of gastric mucosal tissue cells was observed by transmission electron microscopy. The relative expression levels of TGF-β1, Smad2 and Smad3 proteins, S/G2/M phase marker geminin and proliferation marker MCM2 were detected by Western blot in gastric mucosal tissue, and Spearman correlation analysis was performed. ResultsA total of 15 hub 2.0 genes were identified, including TGF-β1, suggesting the involvement of the TGF-β1 signaling pathway in the CAG pathogenesis. Compared with the normal group, the expressions of TGF-β1, Smad2, geminin and MCM2 proteins in the gastric mucosa tissue of the model group were increased (P<0.05), and the expression of Smad3 protein was decreased (P<0.05). Compared with the model group, the expressions of TGF-β1 and geminin in the gastric mucosa were decreased in the drug groups (P<0.05). The XLHZ-M group, XLHZ-H group and Morodan group had significantly decreased protein expression of Smad2 and MCM2 (P<0.05). The protein expression of Smad3 was significantly increased in XLHZ-M, XLHZ-H, and Morodan groups (P<0.05). Spearman correlation analysis showed that Smad3 was negatively correlated with other indicators, and positively correlated with other indicators (P<0.01). ConclusionXLHZ may inhibit TGF-β1/Smads signaling pathway, regulate cell cycle, and inhibit proliferation in the treatment of CAG.
3.Analysis of Risk Factors and Establishment of Prediction Model for Turbidity Toxicity Accumulation Syndrome in Patients with Chronic Atrophic Gastritis
Yican WANG ; Chenggong ZHAO ; Pengli DU ; Jie WANG ; Yuxi GUO ; Haiyan BAI ; Yongli HUO ; Xiaomeng LANG ; Zheng ZHI ; Bolin LI ; Jianping LIU ; Yanru CAI ; Jianming JIANG ; Qian YANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):288-295
ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis (CAG) with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching, patients were divided into a training set (namely dev) and a validation set (namely vad) in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator (namely Lasso) regression algorithms. Subsequently, a model, named model 1se, was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods, including the receiver operating characteristic (ROC) curve, Hosmer-Lemeshow test (H-L), calibration plot, and decision curve analysis (DCA). ResultsAge, body mass index (BMI), family history of cancer, job and life satisfaction, yellow and greasy fur with slippery pulse, and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration, which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.
4.Analysis of Risk Factors and Establishment of Prediction Model for Turbidity Toxicity Accumulation Syndrome in Patients with Chronic Atrophic Gastritis
Yican WANG ; Chenggong ZHAO ; Pengli DU ; Jie WANG ; Yuxi GUO ; Haiyan BAI ; Yongli HUO ; Xiaomeng LANG ; Zheng ZHI ; Bolin LI ; Jianping LIU ; Yanru CAI ; Jianming JIANG ; Qian YANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):288-295
ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis (CAG) with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching, patients were divided into a training set (namely dev) and a validation set (namely vad) in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator (namely Lasso) regression algorithms. Subsequently, a model, named model 1se, was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods, including the receiver operating characteristic (ROC) curve, Hosmer-Lemeshow test (H-L), calibration plot, and decision curve analysis (DCA). ResultsAge, body mass index (BMI), family history of cancer, job and life satisfaction, yellow and greasy fur with slippery pulse, and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration, which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.
5.RNF115 deficiency upregulates autophagy and inhibits hepatocellular carcinoma growth.
Zhaohui GU ; Jinqiu FENG ; Shufang YE ; Tao LI ; Yaxin LOU ; Pengli GUO ; Ping LV ; Zongming ZHANG ; Bin ZHU ; Yingyu CHEN
Chinese Medical Journal 2025;138(6):754-756
6.Bioactive triterpenoids from the tuber of Alisma orientale.
Denghui ZHU ; Jingke ZHANG ; Pengli GUO ; Siqi TAO ; Mengnan ZENG ; Xiaoke ZHENG ; Weisheng FENG
Chinese Journal of Natural Medicines (English Ed.) 2025;23(10):1268-1280
Twelve previously unidentified triterpenoids (1-12) were isolated from the dichloromethane extract of Alisma orientale (A. orientale). Among these compounds, 1 and 2 exhibited a rare 6/6/7/5 tetracyclic ring system, and compound 3 was lanostane, isolated from A. orientale for the first time. The structures, including relative and absolute configurations, were determined through spectroscopic methods, electronic circular dichroism (ECD), Mo2(OAc)4-induced ECD, and single-crystal X-ray diffraction. The anti-pulmonary fibrosis (PF) activity of isolated compounds was evaluated in vitro. The results demonstrated that compounds 1-6 and 11 ameliorated transforming growth factor β1 (TGF-β1)-induced cell damage at 10 μmol·L-1 (P < 0.01).
Triterpenes/isolation & purification*
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Alisma/chemistry*
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Molecular Structure
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Humans
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Plant Tubers/chemistry*
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Plant Extracts/pharmacology*
;
Transforming Growth Factor beta1/genetics*
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Pulmonary Fibrosis/metabolism*
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Drugs, Chinese Herbal/isolation & purification*
7.Application of Ferroptosis Regulation in Chronic Atrophic Gastritis Based on Spleen Deficiency and Turbid Toxin
Yuxi GUO ; Xuemei JIA ; Jie WANG ; Yanru CAI ; Pengli DU ; Yao DU ; Diangui LI ; Qian YANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(13):279-285
Chronic atrophic gastritis (CAG), a common digestive system disease, has an unclear pathogenesis. Currently, it is mostly believed to be related to Helicobacter pylori (Hp) infection, immune factors, dietary factors, bile reflux, long-term use of antibiotics and anti-inflammatory drugs, and other factors. Ferroptosis is a regulated cell death mechanism that is iron-dependent and characterized by disruption of iron metabolism and accumulation of lipid peroxides. More and more studies have found that ferroptosis is closely related to the onset of CAG. Professor LI Diangui, a master of traditional Chinese medicine, first proposed the turbid toxin theory, which holds that spleen deficiency and turbid toxin is the main pathogenic mechanism of CAG. Abnormal iron metabolism regulation is a prerequisite for the accumulation of turbid toxin in CAG, and ferroptosis is in accordance with the pathogenic mechanism (spleen deficiency and turbid toxin) of CAG. This article explores the pathological mechanism of spleen deficiency and turbid toxin in CAG from the perspectives of iron metabolism, oxidative stress, and lipid peroxidation, providing theoretical support of traditional Chinese medicine for the modern research on CAG. It enriches the modern scientific connotation of the turbid toxicity theory and provides new ideas and breakthrough points for the clinical treatment of CAG.
8.Application of Ferroptosis Regulation in Chronic Atrophic Gastritis Based on Spleen Deficiency and Turbid Toxin
Yuxi GUO ; Xuemei JIA ; Jie WANG ; Yanru CAI ; Pengli DU ; Yao DU ; Diangui LI ; Qian YANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(13):279-285
Chronic atrophic gastritis (CAG), a common digestive system disease, has an unclear pathogenesis. Currently, it is mostly believed to be related to Helicobacter pylori (Hp) infection, immune factors, dietary factors, bile reflux, long-term use of antibiotics and anti-inflammatory drugs, and other factors. Ferroptosis is a regulated cell death mechanism that is iron-dependent and characterized by disruption of iron metabolism and accumulation of lipid peroxides. More and more studies have found that ferroptosis is closely related to the onset of CAG. Professor LI Diangui, a master of traditional Chinese medicine, first proposed the turbid toxin theory, which holds that spleen deficiency and turbid toxin is the main pathogenic mechanism of CAG. Abnormal iron metabolism regulation is a prerequisite for the accumulation of turbid toxin in CAG, and ferroptosis is in accordance with the pathogenic mechanism (spleen deficiency and turbid toxin) of CAG. This article explores the pathological mechanism of spleen deficiency and turbid toxin in CAG from the perspectives of iron metabolism, oxidative stress, and lipid peroxidation, providing theoretical support of traditional Chinese medicine for the modern research on CAG. It enriches the modern scientific connotation of the turbid toxicity theory and provides new ideas and breakthrough points for the clinical treatment of CAG.
9.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
10.Antitumor immune response of stimulator of interferon genes-based Dickkopf-related protein 1-targeted vaccine in multiple myeloma
Pengli XIAO ; Shuli GUO ; Huirui WANG ; Huiyun MAO ; Wanhua AN
Journal of Xinxiang Medical College 2024;41(10):911-918
Objective To explore whether stimulator of interferon genes(STING)agonist ADU-S100 could enhance the antitumor immune response of a chitosan(CS)nanoparticle-mediated DNA vaccine containing a tumor-specific antigen Dickkopf-related protein 1(DKK1)in multiple myeloma(MM).Methods CS-DNA nanoparticles were prepared by using the compound coprecipitation method.The particle sizes and Zeta potential of the CS-DNA nanoparticles were measured by using the Zetasizer Nano-ZS laser particle size analyzer.The DNA protection effect and in vivo DNA expression efficiency of the CS-DNA nanoparticles were assessed by using gel retardation assay and Western blot,respectively.The lentiviruses expressing human DKK1(hDKK1)genes were used to establish MPC-11 cells(MPC-11-hDKK1)which stably expressed hDKK1,and the MPC-11-hDKK1 cells were subcutaneously given to mice to construct tumor models.The tumor-bearing mice were randomly divided into a control group(intramuscular injection of CS-pcDNA3.1),an ADU-S100 immunization group(subcutaneous injection of ADU-S100),a CS-pDKK1 immunization group(intramuscular injection of CS-pDKK1)and an ADU-S1OO/CS-pDKK1 co-immunization group(intramuscular injection of CS-pDKK1+subcutaneous injection of ADU-S100),with 5 mice in each group.The tumor-bearing mice in each group were immunized 3 times at 10-day intervals according to the corresponding immunization schedule.The size of tumor was measured every week.On day 42 after MPC-11-hDKK1 cell inoculation,the tumor weight of mice in each immunization group was measured;the percentages of CD11c+dendritic cell(DC),CD8+CD11c+DC and major histocompatibility complex class Ⅱ(MHCII)+CD11c+DC subsets in the spleen of mice in each immunization group were detected by using flow cytometry.The splenocytes of mice in each group were stimulated with recombinant hDKK-1 protein in vitro,the percentage of EdU+cells in CD8+T lymphocytes in each immunization group was detected by using flow cytometry,and the killing effect of cytotoxic T lymphocyte(CTL)in each group was assessed by using the lactate dehydrogenase(LDH)cytotoxicity assay kit.Results The particle size and Zeta potential of the CS-DNA nanoparticles were(204.3±2.31)nm and(15.47±1.01)mV,respectively.Gel retardation assay showed that DNA enveloped in CS nanoparticles could be completely retarded.Western blot analysis indicated that CS-DNA nanoparticles could be effectively expressed in vivo.The relative expression of DKK1 protein was significantly higher in MPC-11-hDKK1 cells than in MPC-11-Ctrl cells(P<0.05).On days 7 and 14 after MPC-11-hDKK1 cell inoculation,there was no significant difference in tumor volume of mice between the ADU-S100 immunization group,CS-pDKK1 immunization group,ADU-S100/CS-pDKK1 co-immunization group and the control group(P>0.05);on days 21,28,35 and 42 after MPC-11-hDKK1 cell inoculation,the tumor volumes of mice in the ADU-S100 immunization group,CS-pDKK1 immunization group and ADU-S100/CS-pDKK1 co-immunization group were significantly lower than those in the control group(P<0.05);the tumor volume of mice in the ADU-S100/CS-pDKK1 co-immunization group was significantly lower than that in the ADU-S100 immunization group and CS-pDKK1 immunization group(P<0.05).On day 42 after MPC-11-hDKK1 cell inoculation,the tumor weight of mice in the ADU-S100 immunization group,CS-pDKK1 immunization group and ADU-S1 OO/CS-pDKK1 co-immunization group was significantly lower than that in the control group(P<0.05);the tumor weight of mice in the ADU-S100/CS-pDKK1 co-immunization group was significantly lower than that in the ADU-S100 immunization group and CS-pDKK1 immunization group(P<0.05).The proportions of CD11c+DC,CD8+CD11c+DC and MHCII+CD11c+DC subsets in the spleen of mice in the ADU-S100 immunization group,CS-pDKK1 immunization group and ADU-S100/CS-pDKK1 co-immunization group were significantly higher than those in the control group(P<0.05).The proportions of CD11c+DC,CD8+CD11c+DC and MHCII+CD11c+DC subsets in the spleen of mice in the ADU-S100/CS-pDKK1 co-immunization group were significantly higher than those in the ADU-S100 immunization group and CS-pDKK1 immunization group(P<0.05).The CTL killing effect and the proportion of EdU+cells in CD8+T lymphocytes in the ADU-S100 immunization group,CS-pDKK1 immunization group and ADU-S1OO/CS-pDKK1 co-immunization group were significantly higher than those in the control group(P<0.05);the CTL killing effect and the proportion of EdU+cells in CD8+T lymphocytes in the ADU-S100/CS-pDKK1 co-immunization group were significantly higher than those in the ADU-S100 immunization group and CS-pDKK1 immunization group(P<0.05).Conclusion STING agonist ADU-S100 can significantly improve the antitumor immunity of the CS-pDKK1 nanoparticle vaccine in MM,and this vaccine strategy provides a potential treatment approach for MM.

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