1.Astragali Radix Polysaccharide Inhibits Proliferation and Migration of Gastric Cancer Cells by Targeting ID1 and Akt
Peizheng SHI ; Shanshan XIAO ; Xinjiang ZHANG ; Yixiang NIE ; Xianchao WANG ; Jing HUANG ; Jie MEI ; Huaquan LAN ; Tuanyun JI ; Tianyi ZHANG ; Xiaoyong WEI ; Qiaohong YANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(15):96-105
		                        		
		                        			
		                        			ObjectiveTo explore the regulatory effects and mechanisms of Astragali Radix polysaccharide (APS) on inhibitor of differentiation1 (ID1) and protein kinase B (Akt) in gastric cancer. MethodsImmunohistochemical staining was used to detect the expression of ID1 and Akt in 61 gastric cancer tissue samples and 20 adjacent normal gastric tissue samples. Immunofluorescence was used to detect the localization of ID1 and Akt. The effects of APS at the concentrations of 0.625, 1.25, 2.5, 5, 10, 20 mg·L-1 on the proliferation of gastric cancer MGC-803 cells were examined by the cell counting kit-8(CCK-8) method and the colony formation assay. The target information of APS was retrieved from the Traditional Chinese Medicine Systems Pharmacology and Analysis Platform and Swiss Target Prediction. Keywords such as gastric cancer, gastric tumor, and stomach cancer were searched against GeneCards, UniProt, DisGeNET, and Online Mendelian Inheritance in Man (OMIM) for the screening of gastric cancer-related targets. The online tool jvenn was used to create the Venn diagram to identify the common targets, and STRING and Cytoscape were used to construct the protein-protein interaction network. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted via R 4.2.2 to predict the potential roles of APS in the development of gastric cancer. The cell scratch assay was employed to assess the effect of APS on the migration of MGC-803 cells. The protein and mRNA levels of ID1 and Akt in the cells treated with APS were determined by Western blot and Real-time PCR, respectively. ResultsCompared with the adjacent normal gastric tissue, the gastric adenocarcinoma tissue showed increased positive expression of ID1 (χ2 =81.00, P<0.01). Immunofluorescence detection showed that ID1 and Akt were mainly located in the cytoplasm of gastric adenocarcinoma cells. Bioinformatics analysis identified 14 common genes shared between APS and gastric cancer. The average degree of protein-protein interaction network nodes was 14.29. GO and KEGG pathway enrichment results showed that ID1 and Akt were significantly enriched in the Rap1 and phosphatidylinositol-3-kinase (PI3K) /Akt signaling pathways. Cell experiments demonstrated that 5-fluorouracil (0.1 mg·L-1) and APS (10, 20 mg·L-1) groups showed decreased cell proliferation, migration, and colony formation. Compared with the control group, 10, 20 mg·L-1 APS inhibited the proliferation of MGC-803 cells (P<0.01), with 10 mg·L-1 APS demonstrating stronger inhibitory effect. In addition, APS at 10, 20 mg·L-1 inhibited the migration (P<0.01) and colony formation (P<0.05, P<0.01) of MGC-803 cells. Compared with the control group, APS at 10, 20 mg·L-1 down-regulated the protein levels of ID1 (P<0.01) and Akt (P<0.05) and the mRNA levels of ID1 (P<0.05, P<0.01) and Akt (P<0.05, P<0.01) in MGC-803 cells. ConclusionID1 and Akt are highly expressed in the gastric adenocarcinoma tissue, which may be related to the development of gastric cancer. APS can down-regulate the protein and mRNA levels of ID1 and Akt to exert anti-tumor effects, which is expected to provide new therapeutic targets for gastric cancer treatment. 
		                        		
		                        		
		                        		
		                        	
2.Study of adsorption of coated aldehyde oxy-starch on the indexes of renal failure
Qian WU ; Cai-fen WANG ; Ning-ning PENG ; Qin NIE ; Tian-fu LI ; Jian-yu LIU ; Xiang-yi SONG ; Jian LIU ; Su-ping WU ; Ji-wen ZHANG ; Li-xin SUN
Acta Pharmaceutica Sinica 2025;60(2):498-505
		                        		
		                        			
		                        			 The accumulation of uremic toxins such as urea nitrogen, blood creatinine, and uric acid of patients with renal failure 
		                        		
		                        	
3.A Novel Retrograde AAV Variant for Functional Manipulation of Cortical Projection Neurons in Mice and Monkeys.
Yefei CHEN ; Jingyi WANG ; Jing LIU ; Jianbang LIN ; Yunping LIN ; Jinyao NIE ; Qi YUE ; Chunshan DENG ; Xiaofei QI ; Yuantao LI ; Ji DAI ; Zhonghua LU
Neuroscience Bulletin 2024;40(1):90-102
		                        		
		                        			
		                        			Retrograde adeno-associated viruses (AAVs) are capable of infecting the axons of projection neurons and serve as a powerful tool for the anatomical and functional characterization of neural networks. However, few retrograde AAV capsids have been shown to offer access to cortical projection neurons across different species and enable the manipulation of neural function in non-human primates (NHPs). Here, we report the development of a novel retrograde AAV capsid, AAV-DJ8R, which efficiently labeled cortical projection neurons after local administration into the striatum of mice and macaques. In addition, intrastriatally injected AAV-DJ8R mediated opsin expression in the mouse motor cortex and induced robust behavioral alterations. Moreover, AAV-DJ8R markedly increased motor cortical neuron firing upon optogenetic light stimulation after viral delivery into the macaque putamen. These data demonstrate the usefulness of AAV-DJ8R as an efficient retrograde tracer for cortical projection neurons in rodents and NHPs and indicate its suitability for use in conducting functional interrogations.
		                        		
		                        		
		                        		
		                        			Animals
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		                        			Haplorhini
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		                        			Axons
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		                        			Motor Neurons
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		                        			Interneurons
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		                        			Macaca
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		                        			Dependovirus/genetics*
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		                        			Genetic Vectors
		                        			
		                        		
		                        	
4.The Application and Practice of"Artificial Intelligence+Big Data"in Hospital Service Process Manage-ment
Roujia NIE ; Ji LI ; Xudong LI
Chinese Hospital Management 2024;44(7):94-96
		                        		
		                        			
		                        			Smart healthcare and digital transformation are the directions for development in the medical field.By Jilin University China-Japan Friendship Hospital Practice as an example,it explores the application of"artificial intelligence+big data"in the refined management service process of hospitals,focusing on its potential advantages in improving the level of medical services and meeting patient needs.By delving into the overall architecture of smart healthcare path design and refined smart management service processes,it aims to provide innovative ideas and effective methods for the digital transformation of the medical industry.
		                        		
		                        		
		                        		
		                        	
5.Nanodrug Delivery System: a Promising Targeting Strategy for Treatment of Pancreatic Ductal Adenocarcinoma
Ji-Miao ZHANG ; Zhi-Qin WANG ; Yi-Ye LI ; Guang-Jun NIE
Progress in Biochemistry and Biophysics 2024;51(10):2661-2676
		                        		
		                        			
		                        			Pancreatic ductal adenocarcinoma (PDAC) is a highly malignant solid tumor of the digestive system, characterized by rapid progression and difficulties of early diagnosis. Five-year survival rate of the patients is less than 9%. With the acceleration of global population aging and lifestyle change, the incidence of PDAC has been increasing annually. Currently, surgical treatment and chemotherapy remain the standard treatment options for PDAC patients. Early symptoms of PDAC are so undetectable that most patients miss the optimal opportunity for radical surgical resection. Even among those who undergo surgery, the high recurrence rate remains a major problem. PDAC is known for its unique tumor microenvironment. The cellular and non-cellular components in the tumor microenvironment account for as much as 90% of the tumor stroma, presenting many potential targets for PDAC therapy. Activated pancreatic stellate cells within PDAC tissue express specific proteins and secrete various cytokines and metabolites, which directly contribute to the proliferation, invasion, and metastasis of PDAC cells. These elements are critical in extracellular matrix production, connective tissue hyperplasia, immune tolerance, and drug resistance. Immune cells, such as macrophages and neutrophils, exert immunosuppressive and tumor-promoting roles in PDAC progression. The extracellular matrix, which serve as a natural physical barrier, induces interstitial hypertension and reduces blood supply, thereby hindering the delivery of drugs to the tumor. Additionally, it helps the metastasis and differentiation of PDAC cells, reducing the efficacy of clinical chemotherapy and immunotherapy. Although chemotherapeutic agents like gemcitabine have been used in the clinical treatment of PDAC for more than 20 years, the curative effect is obstructed by their poor stability in the bloodstream, low cellular uptake, and poor targeting. While small-molecule inhibitors targeting mutations such as KRASG12C, BRCA, and NTRK fusion have shown great potential for molecular targeted treatments and gene therapies of PDAC, their broader application is limited by side effects and restricted scope of patients. The advancement of nanotechnology brings new strategies for PDAC treatment. By virtue of unique size characteristics and actual versatility, different drug-delivery nanosystems contribute to overcome the dense stromal barrier, prolong the circulation time of therapeutics and realize precise PDAC treatment by targeted drug delivery. Clinical nanodrugs such as albumin-bound paclitaxel (nab-paclitaxel) and irinotecan liposome greatly improve the pharmacokinetics of conventional chemotherapeutics and promote drug accumulation inside the tumor, thereby are applying to the first-line treatment of PDAC. It is noteworthy that none nanodrugs with active targeting design have been approved for clinical treatment yet, though many are in clinical trials. In this review, we discuss promising targeting strategies based on different nanodrug delivery systems for treatment of PDAC. One major nanostrategy focuses on the tumor cell targeting and its applications in chemotherapy, molecular targeting therapy, gene therapy, and immunotherapy of PDAC. Another nanostrategy targets the tumor microenvironment, which highlights the nanosystems specifically regulating pancreatic stellate cells, immune cells and the extracellular matrix. Recent progress of developing new nanotheraputics for breakthrough in the fight of PDAC are elaborated in this review. We also provide our perspectives on the challenges and opportunities in the field. 
		                        		
		                        		
		                        		
		                        	
6.The Application and Practice of"Artificial Intelligence+Big Data"in Hospital Service Process Manage-ment
Roujia NIE ; Ji LI ; Xudong LI
Chinese Hospital Management 2024;44(7):94-96
		                        		
		                        			
		                        			Smart healthcare and digital transformation are the directions for development in the medical field.By Jilin University China-Japan Friendship Hospital Practice as an example,it explores the application of"artificial intelligence+big data"in the refined management service process of hospitals,focusing on its potential advantages in improving the level of medical services and meeting patient needs.By delving into the overall architecture of smart healthcare path design and refined smart management service processes,it aims to provide innovative ideas and effective methods for the digital transformation of the medical industry.
		                        		
		                        		
		                        		
		                        	
7.The Application and Practice of"Artificial Intelligence+Big Data"in Hospital Service Process Manage-ment
Roujia NIE ; Ji LI ; Xudong LI
Chinese Hospital Management 2024;44(7):94-96
		                        		
		                        			
		                        			Smart healthcare and digital transformation are the directions for development in the medical field.By Jilin University China-Japan Friendship Hospital Practice as an example,it explores the application of"artificial intelligence+big data"in the refined management service process of hospitals,focusing on its potential advantages in improving the level of medical services and meeting patient needs.By delving into the overall architecture of smart healthcare path design and refined smart management service processes,it aims to provide innovative ideas and effective methods for the digital transformation of the medical industry.
		                        		
		                        		
		                        		
		                        	
8.The Application and Practice of"Artificial Intelligence+Big Data"in Hospital Service Process Manage-ment
Roujia NIE ; Ji LI ; Xudong LI
Chinese Hospital Management 2024;44(7):94-96
		                        		
		                        			
		                        			Smart healthcare and digital transformation are the directions for development in the medical field.By Jilin University China-Japan Friendship Hospital Practice as an example,it explores the application of"artificial intelligence+big data"in the refined management service process of hospitals,focusing on its potential advantages in improving the level of medical services and meeting patient needs.By delving into the overall architecture of smart healthcare path design and refined smart management service processes,it aims to provide innovative ideas and effective methods for the digital transformation of the medical industry.
		                        		
		                        		
		                        		
		                        	
9.The Application and Practice of"Artificial Intelligence+Big Data"in Hospital Service Process Manage-ment
Roujia NIE ; Ji LI ; Xudong LI
Chinese Hospital Management 2024;44(7):94-96
		                        		
		                        			
		                        			Smart healthcare and digital transformation are the directions for development in the medical field.By Jilin University China-Japan Friendship Hospital Practice as an example,it explores the application of"artificial intelligence+big data"in the refined management service process of hospitals,focusing on its potential advantages in improving the level of medical services and meeting patient needs.By delving into the overall architecture of smart healthcare path design and refined smart management service processes,it aims to provide innovative ideas and effective methods for the digital transformation of the medical industry.
		                        		
		                        		
		                        		
		                        	
10.The Application and Practice of"Artificial Intelligence+Big Data"in Hospital Service Process Manage-ment
Roujia NIE ; Ji LI ; Xudong LI
Chinese Hospital Management 2024;44(7):94-96
		                        		
		                        			
		                        			Smart healthcare and digital transformation are the directions for development in the medical field.By Jilin University China-Japan Friendship Hospital Practice as an example,it explores the application of"artificial intelligence+big data"in the refined management service process of hospitals,focusing on its potential advantages in improving the level of medical services and meeting patient needs.By delving into the overall architecture of smart healthcare path design and refined smart management service processes,it aims to provide innovative ideas and effective methods for the digital transformation of the medical industry.
		                        		
		                        		
		                        		
		                        	
            
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