1.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
2.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.
3.Comparison of glucose fluctuation between metformin combined with acarbose or sitagliptin in Chinese patients with type 2 diabetes: A multicenter, randomized, active-controlled, open-label, parallel design clinical trial.
Xiaoling CAI ; Suiyuan HU ; Chu LIN ; Jing WU ; Junfen WANG ; Zhufeng WANG ; Xiaomei ZHANG ; Xirui WANG ; Fengmei XU ; Ling CHEN ; Wenjia YANG ; Lin NIE ; Linong JI
Chinese Medical Journal 2025;138(9):1116-1125
BACKGROUND:
Alpha-glucosidase inhibitors or dipeptidyl peptidase-4 inhibitors are both hypoglycemia agents that specifically impact on postprandial hyperglycemia. We compared the effects of acarbose and sitagliptin add on to metformin on time in range (TIR) and glycemic variability (GV) in Chinese patients with type 2 diabetes mellitus through continuous glucose monitoring (CGM).
METHODS:
This study was a randomized, open-label, active-con-trolled, parallel-group trial conducted at 15 centers in China from January 2020 to August 2022. We recruited patients with type 2 diabetes aged 18-65 years with body mass index (BMI) within 19-40 kg/m 2 and hemoglobin A1c (HbA1c) between 6.5% and 9.0%. Eligible patients were randomized to receive either metformin combined with acarbose 100 mg three times daily or metformin combined with sitagliptin 100 mg once daily for 28 days. After the first 14-day treatment period, patients wore CGM and entered another 14-day treatment period. The primary outcome was the level of TIR after treatment between groups. We also performed time series decomposition, dimensionality reduction, and clustering using the CGM data.
RESULTS:
A total of 701 participants received either acarbose or sitagliptin treatment in combination with metformin. There was no statistically significant difference in TIR between the two groups. Time below range (TBR) and coefficient of variation (CV) levels in acarbose users were significantly lower than those in sitagliptin users. Median (25th percentile, 75th percentile) of TBR below target level <3.9 mmol/L (TBR 3.9 ): Acarbose: 0.45% (0, 2.13%) vs . Sitagliptin: 0.78% (0, 3.12%), P = 0.042; Median (25th percentile, 75th percentile) of TBR below target level <3.0 mmol/L (TBR 3.0 ): Acarbose: 0 (0, 0.22%) vs . Sitagliptin: 0 (0, 0.63%), P = 0.033; CV: Acarbose: 22.44 ± 5.08% vs . Sitagliptin: 23.96 ± 5.19%, P <0.001. By using time series analysis and clustering, we distinguished three groups of patients with representative metabolism characteristics, especially in GV (group with small wave, moderate wave and big wave). No significant difference was found in the complexity of glucose time series index (CGI) between acarbose users and sitagliptin users. By using time series analysis and clustering, we distinguished three groups of patients with representative metabolism characteristics, especially in GV.
CONCLUSIONS:
Acarbose had slight advantages over sitagliptin in improving GV and reducing the risk of hypoglycemia. Time series analysis of CGM data may predict GV and the risk of hypoglycemia.
TRIAL REGISTRATION
Chinese Clinical Trial Registry: ChiCTR2000039424.
Humans
;
Metformin/therapeutic use*
;
Sitagliptin Phosphate/therapeutic use*
;
Acarbose/therapeutic use*
;
Diabetes Mellitus, Type 2/blood*
;
Middle Aged
;
Male
;
Female
;
Adult
;
Blood Glucose/drug effects*
;
Hypoglycemic Agents/therapeutic use*
;
Aged
;
Glycated Hemoglobin/metabolism*
;
Adolescent
;
Young Adult
;
China
;
East Asian People
4.Quercetin Confers Protection against Sepsis-Related Acute Respiratory Distress Syndrome by Suppressing ROS/p38 MAPK Pathway.
Wei-Chao DING ; Juan CHEN ; Quan LI ; Yi REN ; Meng-Meng WANG ; Wei ZHANG ; Xiao-Hang JI ; Xin-Yao WU ; Shi-Nan NIE ; Chang-Bao HUANG ; Zhao-Rui SUN
Chinese journal of integrative medicine 2025;31(11):1011-1020
OBJECTIVE:
To identify the underlying mechanism by which quercetin (Que) alleviates sepsis-related acute respiratory distress syndrome (ARDS).
METHODS:
In vivo, C57BL/6 mice were assigned to sham, cecal ligation and puncture (CLP), and CLP+Que (50 mg/kg) groups (n=15 per group) by using a random number table. The sepsisrelated ARDS mouse model was established using the CLP method. In vitro, the murine alveolar macrophages (MH-S) cells were classified into control, lipopolysaccharide (LPS), LPS+Que (10 μmol/L), and LPS+Que+acetylcysteine (NAC, 5 mmol/L) groups. The effect of Que on oxidative stress, inflammation, and apoptosis in mice lungs and MH-S cells was determined, and the mechanism with reactive oxygen species (ROS)/p38 mitogen-activated protein kinase (MAPK) pathway was also explored both in vivo and in vitro.
RESULTS:
Que alleviated lung injury in mice, as reflected by a reversal of pulmonary histopathologic changes as well as a reduction in lung wet/dry weight ratio and neutrophil infiltration (P<0.05 or P<0.01). Additionally, Que improved the survival rate and relieved gas exchange impairment in mice (P<0.01). Que treatment also remarkedly reduced malondialdehyde formation, superoxide dismutase and catalase depletion, and cell apoptosis both in vivo and in vitro (P<0.05 or P<0.01). Moreover, Que treatment diminished the release of inflammatory factors interleukin (IL)-1β, tumor necrosis factor-α, and IL-6 both in vivo and in vitro (P<0.05 or P<0.01). Mechanistic investigation clarifified that Que administration led to a decline in the phosphorylation of p38 MAPK in addition to the suppression of ROS expression (P<0.01). Furthermore, in LPS-induced MH-S cells, ROS inhibitor NAC further inhibited ROS/p38 MAPK pathway, as well as oxidative stress, inflammation, and cell apoptosis on the basis of Que treatment (P<0.05 or P<0.01).
CONCLUSION
Que was found to exert anti-oxidative, anti-inflammatory, and anti-apoptotic effects by suppressing the ROS/p38 MAPK pathway, thereby conferring protection for mice against sepsis-related ARDS.
Animals
;
Sepsis/drug therapy*
;
Quercetin/therapeutic use*
;
Respiratory Distress Syndrome/enzymology*
;
p38 Mitogen-Activated Protein Kinases/metabolism*
;
Mice, Inbred C57BL
;
Reactive Oxygen Species/metabolism*
;
Apoptosis/drug effects*
;
Male
;
Oxidative Stress/drug effects*
;
MAP Kinase Signaling System/drug effects*
;
Lung/drug effects*
;
Mice
;
Lipopolysaccharides
;
Macrophages, Alveolar/pathology*
;
Inflammation/pathology*
;
Protective Agents/therapeutic use*
5.Serum Lipidomics Profiling to Identify Potential Biomarkers of Ischemic Stroke: A Pilot Study in Chinese Adults.
Ji Jun SHI ; Zu Jiao NIE ; Shu Yao WANG ; Hao ZHANG ; Xin Wei LI ; Jia Ling YAO ; Yi Bing JIN ; Xiang Dong YANG ; Xue Yang ZHANG ; Ming Zhi ZHANG ; Hao PENG
Biomedical and Environmental Sciences 2025;38(8):918-925
OBJECTIVE:
Lipid oxidation is involved in the pathogenesis of atherosclerosis and may be contribute to the development of Ischemic stroke (IS). However, the lipid profiles associated with IS have been poorly studied. We conducted a pilot study to identify potential IS-related lipid molecules and pathways using lipidomic profiling.
METHODS:
Serum lipidomic profiling was performed using LC-MS in 20 patients with IS and 20 age- and sex-matched healthy controls. Univariate and multivariate analyses were simultaneously performed to identify the differential lipids. Multiple testing was controlled for using a false discovery rate (FDR) approach. Enrichment analysis was performed using MetaboAnalyst software.
RESULTS:
Based on the 294 lipids assayed, principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) models were used to distinguish patients with IS from healthy controls. Fifty-six differential lipids were identified with an FDR-adjusted P less than 0.05 and variable influences in projection (VIP) greater than 1.0. These lipids were significantly enriched in glycerophospholipid metabolism (FDR-adjusted P = 0.009, impact score = 0.216).
CONCLUSIONS
Serum lipid profiles differed significantly between patients with IS and healthy controls. Thus, glycerophospholipid metabolism may be involved in the development of IS. These results provide initial evidence that lipid molecules and their related metabolites may serve as new biomarkers and potential therapeutic targets for IS.
Humans
;
Pilot Projects
;
Lipidomics
;
Male
;
Female
;
Biomarkers/blood*
;
Middle Aged
;
Ischemic Stroke/blood*
;
Aged
;
China
;
Lipids/blood*
;
Adult
;
Case-Control Studies
;
East Asian People
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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