Jun Pei , Huali Weng , Jinpu Peng , Moudong Wu , Xiong Zhan , Guohua Zhu , Dan Wang , Xingyu Pan , Nini An
{"title":"基于转录组学和动物实验鉴定肾移植急性排斥反应中调节中性粒细胞胞外陷阱的潜在靶点。","authors":"Jun Pei , Huali Weng , Jinpu Peng , Moudong Wu , Xiong Zhan , Guohua Zhu , Dan Wang , Xingyu Pan , Nini An","doi":"10.1016/j.intimp.2024.114008","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Neutrophil extracellular traps (NETs) have been found to promote inflammatory responses and exacerbate tissue damage, as well as to be strongly associated with the development of acute rejection in kidney transplantation. Taking measures against NETs is important for the treatment of acute rejection in kidney transplantation.</div></div><div><h3>Methods</h3><div>We used the kidney ransplantation acute rejection dataset GSE50058 as a basis for identifying biomarkers associated with the regulation of NETs therein and constructing a diagnostic model using WGCNA and four machine learning algorithms. We also explored the infiltration levels of 64 immune cells and the correlation between NETs-related biomarkers and immune cells in acute rejection of kidney transplants using the xCell algorithm. Meanwhile, we established a rat kidney ransplantation acute rejection model and validated the expression of biomarkers in animal experiments. Finally, we also explored the role of one of the biomarkers in the regulation of NETs by injecting adeno-associated viruses into the tail vein of rats.</div></div><div><h3>Results</h3><div>In this study, we identified a total of four NETs-associated biomarkers in acute rejection of kidney transplantation: GPX3, B2M, CDK1 and MAP3K5. Among them, the expression of GPX3 was negatively correlated with acute rejection of kidney transplantation, while the remaining three markers were positively correlated with acute rejection. We constructed a diagnostic model based on the above four biomarkers, and both the ROC curve and the calibration curve proved the good diagnostic value of the model, and the DCA curve confirmed the clinical decision-making ability of the four biomarkers. The xCell algorithm identified 20 types of immune cells with significantly altered infiltration levels in acute rejection of kidney transplants, and the expression of four biomarkers was strongly associated with multiple immune cells. In animal experiments, the expression levels of the four biomarkers were consistent with the results analyzed in the dataset GSE50058. Finally, we also found through animal experiments that overexpression of GPX3 could inhibit the activation of NETs in renal tissues and reduce the secretion of inflammatory factors, thereby alleviating renal tissue injury caused by acute rejection of kidney transplantation.</div></div><div><h3>Conclusion</h3><div>GPX3, B2M, CDK1 and MAP3K5 as biomarkers associated with NETs in acute rejection of kidney transplantation. Among them, GPX3 can inhibit the activation of NETs and reduce the expression of inflammatory factors in the acute rejection of kidney transplantation, thus alleviating renal tissue injury.</div></div>","PeriodicalId":13859,"journal":{"name":"International immunopharmacology","volume":"147 ","pages":"Article 114008"},"PeriodicalIF":4.8000,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identification of potential targets regulating neutrophil extracellular traps in acute rejection of kidney transplantation based on transcriptomics and animal experiments\",\"authors\":\"Jun Pei , Huali Weng , Jinpu Peng , Moudong Wu , Xiong Zhan , Guohua Zhu , Dan Wang , Xingyu Pan , Nini An\",\"doi\":\"10.1016/j.intimp.2024.114008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Neutrophil extracellular traps (NETs) have been found to promote inflammatory responses and exacerbate tissue damage, as well as to be strongly associated with the development of acute rejection in kidney transplantation. Taking measures against NETs is important for the treatment of acute rejection in kidney transplantation.</div></div><div><h3>Methods</h3><div>We used the kidney ransplantation acute rejection dataset GSE50058 as a basis for identifying biomarkers associated with the regulation of NETs therein and constructing a diagnostic model using WGCNA and four machine learning algorithms. We also explored the infiltration levels of 64 immune cells and the correlation between NETs-related biomarkers and immune cells in acute rejection of kidney transplants using the xCell algorithm. Meanwhile, we established a rat kidney ransplantation acute rejection model and validated the expression of biomarkers in animal experiments. Finally, we also explored the role of one of the biomarkers in the regulation of NETs by injecting adeno-associated viruses into the tail vein of rats.</div></div><div><h3>Results</h3><div>In this study, we identified a total of four NETs-associated biomarkers in acute rejection of kidney transplantation: GPX3, B2M, CDK1 and MAP3K5. Among them, the expression of GPX3 was negatively correlated with acute rejection of kidney transplantation, while the remaining three markers were positively correlated with acute rejection. We constructed a diagnostic model based on the above four biomarkers, and both the ROC curve and the calibration curve proved the good diagnostic value of the model, and the DCA curve confirmed the clinical decision-making ability of the four biomarkers. The xCell algorithm identified 20 types of immune cells with significantly altered infiltration levels in acute rejection of kidney transplants, and the expression of four biomarkers was strongly associated with multiple immune cells. In animal experiments, the expression levels of the four biomarkers were consistent with the results analyzed in the dataset GSE50058. Finally, we also found through animal experiments that overexpression of GPX3 could inhibit the activation of NETs in renal tissues and reduce the secretion of inflammatory factors, thereby alleviating renal tissue injury caused by acute rejection of kidney transplantation.</div></div><div><h3>Conclusion</h3><div>GPX3, B2M, CDK1 and MAP3K5 as biomarkers associated with NETs in acute rejection of kidney transplantation. Among them, GPX3 can inhibit the activation of NETs and reduce the expression of inflammatory factors in the acute rejection of kidney transplantation, thus alleviating renal tissue injury.</div></div>\",\"PeriodicalId\":13859,\"journal\":{\"name\":\"International immunopharmacology\",\"volume\":\"147 \",\"pages\":\"Article 114008\"},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2025-02-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International immunopharmacology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S156757692402530X\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"IMMUNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International immunopharmacology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S156757692402530X","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
Identification of potential targets regulating neutrophil extracellular traps in acute rejection of kidney transplantation based on transcriptomics and animal experiments
Background
Neutrophil extracellular traps (NETs) have been found to promote inflammatory responses and exacerbate tissue damage, as well as to be strongly associated with the development of acute rejection in kidney transplantation. Taking measures against NETs is important for the treatment of acute rejection in kidney transplantation.
Methods
We used the kidney ransplantation acute rejection dataset GSE50058 as a basis for identifying biomarkers associated with the regulation of NETs therein and constructing a diagnostic model using WGCNA and four machine learning algorithms. We also explored the infiltration levels of 64 immune cells and the correlation between NETs-related biomarkers and immune cells in acute rejection of kidney transplants using the xCell algorithm. Meanwhile, we established a rat kidney ransplantation acute rejection model and validated the expression of biomarkers in animal experiments. Finally, we also explored the role of one of the biomarkers in the regulation of NETs by injecting adeno-associated viruses into the tail vein of rats.
Results
In this study, we identified a total of four NETs-associated biomarkers in acute rejection of kidney transplantation: GPX3, B2M, CDK1 and MAP3K5. Among them, the expression of GPX3 was negatively correlated with acute rejection of kidney transplantation, while the remaining three markers were positively correlated with acute rejection. We constructed a diagnostic model based on the above four biomarkers, and both the ROC curve and the calibration curve proved the good diagnostic value of the model, and the DCA curve confirmed the clinical decision-making ability of the four biomarkers. The xCell algorithm identified 20 types of immune cells with significantly altered infiltration levels in acute rejection of kidney transplants, and the expression of four biomarkers was strongly associated with multiple immune cells. In animal experiments, the expression levels of the four biomarkers were consistent with the results analyzed in the dataset GSE50058. Finally, we also found through animal experiments that overexpression of GPX3 could inhibit the activation of NETs in renal tissues and reduce the secretion of inflammatory factors, thereby alleviating renal tissue injury caused by acute rejection of kidney transplantation.
Conclusion
GPX3, B2M, CDK1 and MAP3K5 as biomarkers associated with NETs in acute rejection of kidney transplantation. Among them, GPX3 can inhibit the activation of NETs and reduce the expression of inflammatory factors in the acute rejection of kidney transplantation, thus alleviating renal tissue injury.
期刊介绍:
International Immunopharmacology is the primary vehicle for the publication of original research papers pertinent to the overlapping areas of immunology, pharmacology, cytokine biology, immunotherapy, immunopathology and immunotoxicology. Review articles that encompass these subjects are also welcome.
The subject material appropriate for submission includes:
• Clinical studies employing immunotherapy of any type including the use of: bacterial and chemical agents; thymic hormones, interferon, lymphokines, etc., in transplantation and diseases such as cancer, immunodeficiency, chronic infection and allergic, inflammatory or autoimmune disorders.
• Studies on the mechanisms of action of these agents for specific parameters of immune competence as well as the overall clinical state.
• Pre-clinical animal studies and in vitro studies on mechanisms of action with immunopotentiators, immunomodulators, immunoadjuvants and other pharmacological agents active on cells participating in immune or allergic responses.
• Pharmacological compounds, microbial products and toxicological agents that affect the lymphoid system, and their mechanisms of action.
• Agents that activate genes or modify transcription and translation within the immune response.
• Substances activated, generated, or released through immunologic or related pathways that are pharmacologically active.
• Production, function and regulation of cytokines and their receptors.
• Classical pharmacological studies on the effects of chemokines and bioactive factors released during immunological reactions.