1.Ras Guanine Nucleotide-Releasing Protein-4 Inhibits Erythropoietin Production in Diabetic Mice with Kidney Disease by Degrading HIF2A
Junmei WANG ; Shuai HUANG ; Li ZHANG ; Yixian HE ; Xian SHAO ; A-Shan-Jiang A-NI-WAN ; Yan KONG ; Xuying MENG ; Pei YU ; Saijun ZHOU
Diabetes & Metabolism Journal 2025;49(3):421-435
Background:
In acute and chronic renal inflammatory diseases, the activation of inflammatory cells is involved in the defect of erythropoietin (EPO) production. Ras guanine nucleotide-releasing protein-4 (RasGRP4) promotes renal inflammatory injury in type 2 diabetes mellitus (T2DM). Our study aimed to investigate the role and mechanism of RasGRP4 in the production of renal EPO in diabetes.
Methods:
The degree of tissue injury was observed by pathological staining. Inflammatory cell infiltration was analyzed by immunohistochemical staining. Serum EPO levels were detected by enzyme-linked immunosorbent assay, and EPO production and renal interstitial fibrosis were analyzed by immunofluorescence. Quantitative real-time polymerase chain reaction and Western blotting were used to detect the expression of key inflammatory factors and the activation of signaling pathways. In vitro, the interaction between peripheral blood mononuclear cells (PBMCs) and C3H10T1/2 cells was investigated via cell coculture experiments.
Results:
RasGRP4 decreased the expression of hypoxia-inducible factor 2-alpha (HIF2A) via the ubiquitination–proteasome degradation pathway and promoted myofibroblastic transformation by activating critical inflammatory pathways, consequently reducing the production of EPO in T2DM mice.
Conclusion
RasGRP4 participates in the production of renal EPO in diabetic mice by affecting the secretion of proinflammatory cytokines in PBMCs, degrading HIF2A, and promoting the myofibroblastic transformation of C3H10T1/2 cells.
2.Ras Guanine Nucleotide-Releasing Protein-4 Inhibits Erythropoietin Production in Diabetic Mice with Kidney Disease by Degrading HIF2A
Junmei WANG ; Shuai HUANG ; Li ZHANG ; Yixian HE ; Xian SHAO ; A-Shan-Jiang A-NI-WAN ; Yan KONG ; Xuying MENG ; Pei YU ; Saijun ZHOU
Diabetes & Metabolism Journal 2025;49(3):421-435
Background:
In acute and chronic renal inflammatory diseases, the activation of inflammatory cells is involved in the defect of erythropoietin (EPO) production. Ras guanine nucleotide-releasing protein-4 (RasGRP4) promotes renal inflammatory injury in type 2 diabetes mellitus (T2DM). Our study aimed to investigate the role and mechanism of RasGRP4 in the production of renal EPO in diabetes.
Methods:
The degree of tissue injury was observed by pathological staining. Inflammatory cell infiltration was analyzed by immunohistochemical staining. Serum EPO levels were detected by enzyme-linked immunosorbent assay, and EPO production and renal interstitial fibrosis were analyzed by immunofluorescence. Quantitative real-time polymerase chain reaction and Western blotting were used to detect the expression of key inflammatory factors and the activation of signaling pathways. In vitro, the interaction between peripheral blood mononuclear cells (PBMCs) and C3H10T1/2 cells was investigated via cell coculture experiments.
Results:
RasGRP4 decreased the expression of hypoxia-inducible factor 2-alpha (HIF2A) via the ubiquitination–proteasome degradation pathway and promoted myofibroblastic transformation by activating critical inflammatory pathways, consequently reducing the production of EPO in T2DM mice.
Conclusion
RasGRP4 participates in the production of renal EPO in diabetic mice by affecting the secretion of proinflammatory cytokines in PBMCs, degrading HIF2A, and promoting the myofibroblastic transformation of C3H10T1/2 cells.
3.Ras Guanine Nucleotide-Releasing Protein-4 Inhibits Erythropoietin Production in Diabetic Mice with Kidney Disease by Degrading HIF2A
Junmei WANG ; Shuai HUANG ; Li ZHANG ; Yixian HE ; Xian SHAO ; A-Shan-Jiang A-NI-WAN ; Yan KONG ; Xuying MENG ; Pei YU ; Saijun ZHOU
Diabetes & Metabolism Journal 2025;49(3):421-435
Background:
In acute and chronic renal inflammatory diseases, the activation of inflammatory cells is involved in the defect of erythropoietin (EPO) production. Ras guanine nucleotide-releasing protein-4 (RasGRP4) promotes renal inflammatory injury in type 2 diabetes mellitus (T2DM). Our study aimed to investigate the role and mechanism of RasGRP4 in the production of renal EPO in diabetes.
Methods:
The degree of tissue injury was observed by pathological staining. Inflammatory cell infiltration was analyzed by immunohistochemical staining. Serum EPO levels were detected by enzyme-linked immunosorbent assay, and EPO production and renal interstitial fibrosis were analyzed by immunofluorescence. Quantitative real-time polymerase chain reaction and Western blotting were used to detect the expression of key inflammatory factors and the activation of signaling pathways. In vitro, the interaction between peripheral blood mononuclear cells (PBMCs) and C3H10T1/2 cells was investigated via cell coculture experiments.
Results:
RasGRP4 decreased the expression of hypoxia-inducible factor 2-alpha (HIF2A) via the ubiquitination–proteasome degradation pathway and promoted myofibroblastic transformation by activating critical inflammatory pathways, consequently reducing the production of EPO in T2DM mice.
Conclusion
RasGRP4 participates in the production of renal EPO in diabetic mice by affecting the secretion of proinflammatory cytokines in PBMCs, degrading HIF2A, and promoting the myofibroblastic transformation of C3H10T1/2 cells.
4.Ras Guanine Nucleotide-Releasing Protein-4 Inhibits Erythropoietin Production in Diabetic Mice with Kidney Disease by Degrading HIF2A
Junmei WANG ; Shuai HUANG ; Li ZHANG ; Yixian HE ; Xian SHAO ; A-Shan-Jiang A-NI-WAN ; Yan KONG ; Xuying MENG ; Pei YU ; Saijun ZHOU
Diabetes & Metabolism Journal 2025;49(3):421-435
Background:
In acute and chronic renal inflammatory diseases, the activation of inflammatory cells is involved in the defect of erythropoietin (EPO) production. Ras guanine nucleotide-releasing protein-4 (RasGRP4) promotes renal inflammatory injury in type 2 diabetes mellitus (T2DM). Our study aimed to investigate the role and mechanism of RasGRP4 in the production of renal EPO in diabetes.
Methods:
The degree of tissue injury was observed by pathological staining. Inflammatory cell infiltration was analyzed by immunohistochemical staining. Serum EPO levels were detected by enzyme-linked immunosorbent assay, and EPO production and renal interstitial fibrosis were analyzed by immunofluorescence. Quantitative real-time polymerase chain reaction and Western blotting were used to detect the expression of key inflammatory factors and the activation of signaling pathways. In vitro, the interaction between peripheral blood mononuclear cells (PBMCs) and C3H10T1/2 cells was investigated via cell coculture experiments.
Results:
RasGRP4 decreased the expression of hypoxia-inducible factor 2-alpha (HIF2A) via the ubiquitination–proteasome degradation pathway and promoted myofibroblastic transformation by activating critical inflammatory pathways, consequently reducing the production of EPO in T2DM mice.
Conclusion
RasGRP4 participates in the production of renal EPO in diabetic mice by affecting the secretion of proinflammatory cytokines in PBMCs, degrading HIF2A, and promoting the myofibroblastic transformation of C3H10T1/2 cells.
5.Coronary artery perforation after using shockwave balloon during percutaneous coronary intervention treatment:a case report
Chen-Ji XU ; Fei LI ; Fa ZHENG ; Bin ZHANG ; Feng-Xia QU ; Jian-Meng WANG ; Ya-Qun ZHOU ; Xian-Liang LI ; Song-Tao WANG ; Yan SHAO ; Chang-Hong LU
Chinese Journal of Interventional Cardiology 2024;32(7):405-408
Coronary perforation is when a contrast agent or blood flows outside a blood vessel through a tear in a coronary artery.In this case,we reported a case of percutaneous coronary intervention for coronary calcified lesions,which led to iatrogenic coronary perforation and cardiac tamponade after the use of Shockwave balloon to treat intracoronary calcified nodules,and the management of PCI-related CAP was systematically reviewed through the literature.
6.Endo-beta-N-acetylglucosaminidase: Possible Functions and Mechanisms
Xin-Rong LU ; Yong-Liang TONG ; Wei-Li KONG ; Lin ZOU ; Dan-Feng SHEN ; Shao-Xian LÜ ; Rui-Jie LIU ; Shao-Xing ZHANG ; Yu-Xin ZHANG ; Lin-Lin HOU ; Gui-Qin SUN ; Li CHEN
Progress in Biochemistry and Biophysics 2024;51(5):985-999
Endo-beta-N-acetylglucosaminidase (ENGase) is widely distributed in various organisms. The first reported ENGase activity was detected in Diplococcus pneumoniae in 1971. The protein (Endo D) was purified and its peptide sequence was determined in 1974. Three ENGases (Endo F1-F3) were discovered in Flavobacterium meningosepticum from 1982 to 1993. After that, the activity was detected from different species of bacteria, yeast, fungal, plant, mice, human, etc. Multiple ENGases were detected in some species, such as Arabidopsis thaliana and Trichoderma atroviride. The first preliminary crystallographic analysis of ENGase was conducted in 1994. But to date, only a few ENGases structures have been obtained, and the structure of human ENGase is still missing. The currently identified ENGases were distributed in the GH18 or GH85 families in Carbohydrate-Active enZyme (CAZy) database. GH18 ENGase only has hydrolytic activity, but GH85 ENGase has both hydrolytic and transglycosylation activity. Although ENGases of the two families have similar (β/α)8-TIM barrel structures, the active sites are slightly different. ENGase is an effective tool for glycan detection andglycan editing. Biochemically, ENGase can specifically hydrolyze β‑1,4 glycosidic bond between the twoN-acetylglucosamines (GlcNAc) on core pentasaccharide presented on glycopeptides and/or glycoproteins. Different ENGases may have different substrate specificity. The hydrolysis products are oligosaccharide chains and a GlcNAc or glycopeptides or glycoproteins with a GlcNAc. Conditionally, it can use the two products to produce a new glycopeptides or glycoprotein. Although ENGase is a common presentation in cell, its biological function remains unclear. Accumulated evidences demonstrated that ENGase is a none essential gene for living and a key regulator for differentiation. No ENGase gene was detected in the genomes of Saccharomyces cerevisiae and three other yeast species. Its expression was extremely low in lung. As glycoproteins are not produced by prokaryotic cells, a role for nutrition and/or microbial-host interaction was predicted for bacterium produced enzymes. In the embryonic lethality phenotype of the Ngly1-deficient mice can be partially rescued by Engase knockout, suggesting down regulation of Engase might be a solution for stress induced adaptation. Potential impacts of ENGase regulation on health and disease were presented. Rabeprazole, a drug used for stomach pain as a proton inhibitor, was identified as an inhibitor for ENGase. ENGases have been applied in vitro to produce antibodies with a designated glycan. The two step reactions were achieved by a pair of ENGase dominated for hydrolysis of substrate glycoprotein and synthesis of new glycoprotein with a free glycan of designed structure, respectively. In addition, ENGase was also been used in cell surface glycan editing. New application scenarios and new detection methods for glycobiological engineering are quickly opened up by the two functions of ENGase, especially in antibody remodeling and antibody drug conjugates. The discovery, distribution, structure property, enzymatic characteristics and recent researches in topical model organisms of ENGase were reviewed in this paper. Possible biological functions and mechanisms of ENGase, including differentiation, digestion of glycoproteins for nutrition and stress responding were hypothesised. In addition, the role of ENGase in glycan editing and synthetic biology was discussed. We hope this paper may provide insights for ENGase research and lay a solid foundation for applied and translational glycomics.
7.Schisandrin B Improves the Hypothermic Preservation of Celsior Solution in Human Umbilical Cord Mesenchymal Stem Cells
Ying ZHANG ; Peng WANG ; Mei-xian JIN ; Ying-qi ZHOU ; Liang YE ; Xiao-juan ZHU ; Hui-fang LI ; Ming ZHOU ; Yang LI ; Shao LI ; Kang-yan LIANG ; Yi WANG ; Yi GAO ; Ming-xin PAN ; Shu-qin ZHOU ; Qing PENG
Tissue Engineering and Regenerative Medicine 2023;20(3):447-459
BACKGROUND:
Human umbilical cord mesenchymal stem cells (hUCMSCs) have emerged as promising therapy for immune and inflammatory diseases. However, how to maintain the activity and unique properties during cold storage and transportation is one of the key factors affecting the therapeutic efficiency of hUCMSCs. Schisandrin B (SchB) has many functions in cell protection as a natural medicine. In this study, we investigated the protective effects of SchB on the hypothermic preservation of hUCMSCs.
METHODS:
hUCMSCs were isolated from Wharton’s jelly. Subsequently, hUCMSCs were exposed to cold storage (4 °C) and 24-h re-warming. After that, cells viability, surface markers, immunomodulatory effects, reactive oxygen species (ROS), mitochondrial integrity, apoptosis-related and antioxidant proteins expression level were evaluated.
RESULTS:
SchB significantly alleviated the cells injury and maintained unique properties such as differentiation potential, level of surface markers and immunomodulatory effects of hUCMSCs. The protective effects of SchB on hUCMSCs after hypothermic storage seemed associated with its inhibition of apoptosis and the anti-oxidative stress effect mediated by nuclear factor erythroid 2–related factor 2 signaling.
CONCLUSION
These results demonstrate SchB could be used as an agent for hypothermic preservation of hUCMSCs.
8.GO-CoA-Tat improves lipid metabolism and oxidative stress in mice with fatty liver disease
Hai-Yan WANG ; Yu-Lin LI ; Jing-Xian HU ; Hao ZHOU ; Miao JIANG ; Shao-Ren ZHANG
Chinese Journal of Clinical Medicine 2023;30(6):965-970
Objective To investigate the effects of GO-CoA-Tat,an inhibitor of ghrelin O-acyltransferase(GOAT),on lipid metabolism and oxidative stress in mice with non-alcoholic fatty liver disease(NAFLD)induced by high-fat diet(HFD).Methods Twenty-four C57BL/6 male mice were selected and divided into control group,HFD group and GO-CoA-Tat group,with 8 mice in each group.The mice in control group was given standard diet,the mice in HFD group and GO-CoA-Tat group were given HFD,and the mice in GO-CoA-Tat group was given daily intraperitoneal injection of GO-CoA-Tat from 3rd week of feeding.Food intake and body mass of mice were measured weekly.After 8 weeks,serum and liver samples were collected,liver weight was measured,and fat droplets were detected by hepatocyte oil red O staining;biochemical indexes such as serum triglyceride(TG),total cholesterol(TC),alanine aminotransferase(ALT),aspartate aminotransferase(AST)and oxidative stress indexes of liver such as glutathione(GSH),superoxide dismutase(SOD)and malondialdehyde(MDA)were measured.Results Hepatic steatosis was observed after feeding with HFD for 8 weeks,which was significantly relieved in GO-CoA-Tat group compared with HFD group.Compared with HFD group,the food intake,body weight and liver weight of mice in GO-CoA-Tat group decreased(P<0.05).Compared with HFD group,the content of TG in liver of mice in GO-CoA-Tat group decreased,the concentrations of serum TG and TC decreased(P<0.05),and the concentrations of liver GSH and SOD increased(P<0.01),liver MDA decreased(P=0.005),and the serum ALT and AST decreased(P<0.05).Conclusion GO-CoA-Tat can improve lipid metabolism and oxidative stress in the liver of NAFLD mice,thus play a protective role in the liver.
9.Research on multi-class orthodontic image recognition system based on deep learning network model.
Shao Feng WANG ; Xian Ju XIE ; Li ZHANG ; Qiao CHANG ; Fei Fei ZUO ; Ya Jie WANG ; Yu Xing BAI
Chinese Journal of Stomatology 2023;58(6):561-568
Objective: To develop a multi-classification orthodontic image recognition system using the SqueezeNet deep learning model for automatic classification of orthodontic image data. Methods: A total of 35 000 clinical orthodontic images were collected in the Department of Orthodontics, Capital Medical University School of Stomatology, from October to November 2020 and June to July 2021. The images were from 490 orthodontic patients with a male-to-female ratio of 49∶51 and the age range of 4 to 45 years. After data cleaning based on inclusion and exclusion criteria, the final image dataset included 17 453 face images (frontal, smiling, 90° right, 90° left, 45° right, and 45° left), 8 026 intraoral images [frontal occlusion, right occlusion, left occlusion, upper occlusal view (original and flipped), lower occlusal view (original and flipped) and coverage of occlusal relationship], 4 115 X-ray images [lateral skull X-ray from the left side, lateral skull X-ray from the right side, frontal skull X-ray, cone-beam CT (CBCT), and wrist bone X-ray] and 684 other non-orthodontic images. A labeling team composed of orthodontic doctoral students, associate professors, and professors used image labeling tools to classify the orthodontic images into 20 categories, including 6 face image categories, 8 intraoral image categories, 5 X-ray image categories, and other images. The data for each label were randomly divided into training, validation, and testing sets in an 8∶1∶1 ratio using the random function in the Python programming language. The improved SqueezeNet deep learning model was used for training, and 13 000 natural images from the ImageNet open-source dataset were used as additional non-orthodontic images for algorithm optimization of anomaly data processing. A multi-classification orthodontic image recognition system based on deep learning models was constructed. The accuracy of the orthodontic image classification was evaluated using precision, recall, F1 score, and confusion matrix based on the prediction results of the test set. The reliability of the model's image classification judgment logic was verified using the gradient-weighted class activation mapping (Grad-CAM) method to generate heat maps. Results: After data cleaning and labeling, a total of 30 278 orthodontic images were included in the dataset. The test set classification results showed that the precision, recall, and F1 scores of most classification labels were 100%, with only 5 misclassified images out of 3 047, resulting in a system accuracy of 99.84%(3 042/3 047). The precision of anomaly data processing was 100% (10 500/10 500). The heat map showed that the judgment basis of the SqueezeNet deep learning model in the image classification process was basically consistent with that of humans. Conclusions: This study developed a multi-classification orthodontic image recognition system for automatic classification of 20 types of orthodontic images based on the improved SqueezeNet deep learning model. The system exhibitted good accuracy in orthodontic image classification.
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Young Adult
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Adult
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Middle Aged
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Deep Learning
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Reproducibility of Results
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Radiography
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Algorithms
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Cone-Beam Computed Tomography

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