Chun-Hu Wang, Zi-Rong Li, Meng Wang, Jie Li, Xin Li, Xiao-Ning Yang, You-Bin Wang, Ji-Guang Ma
{"title":"分析和鉴定瘢痕疙瘩中与缺氧和免疫相关的甲基化修饰基因","authors":"Chun-Hu Wang, Zi-Rong Li, Meng Wang, Jie Li, Xin Li, Xiao-Ning Yang, You-Bin Wang, Ji-Guang Ma","doi":"10.1155/2024/6210242","DOIUrl":null,"url":null,"abstract":"<div>\n <p><i>Background</i>. Keloids are benign fibroproliferative tumors that are unique to humans. However, the exact mechanism of keloid formation remains unclear. The inflammatory cytokines released by immune cells can activate fibroblasts, connective tissue cell proliferation, and angiogenesis. Hypoxia is common in the process of fibrosis in many diseases. This study aimed to investigate the relationship between immune response, hypoxia, and keloid formation. <i>Methods</i>. Gene methylation and expression data were downloaded from the GEO database. Thereafter, differentially methylated genes associated with immunity and hypoxia were identified. Machine learning was performed to identify potential diagnostic/immunity/hypoxia-related differentially methylated/expressed genes, followed by analysis of functional enrichment, transcription factors, protein-protein interactions, and expression validation by reverse transcription quantitative polymerase chain reaction and immunohistochemistry. <i>Results</i>. In total, 16 immunity/hypoxia-related hypermethylated low-expression genes and 18 immunity/hypoxia-related hypomethylated high-expression genes were identified in keloids. Based on machine learning, nine differentially methylated and expressed genes were selected as potential diagnostic markers for keloids, including two hypoxia-related genes (<i>CDKN1A</i> and <i>PGAM2</i>) and seven immunity-related genes (<i>DCD</i>, <i>PTGDS</i>, <i>WFIKKN1</i>, <i>SEMA5A</i>, <i>IL1R1</i>, <i>ITGAL</i>, and <i>SOS1</i>). Some significantly enriched signaling pathways were identified, including the FoxO, PI3K-Akt, focal adhesion, and ErbB signaling pathways. <i>SOS1</i> is involved in disease regulation with 65 transcription factors and has a higher interaction score with other molecules. <i>Conclusions</i>. Two hypoxia-related genes (<i>CDKN1A</i> and <i>PGAM2</i>) and seven immunity-related genes (<i>DCD</i>, <i>PTGDS</i>, <i>WFIKKN1</i>, <i>SEMA5A</i>, <i>IL1R1</i>, <i>ITGAL</i>, and <i>SOS1</i>) could be considered potential diagnostic markers for keloids, and may be helpful in understanding the importance of oxygen balance and immune regulation in keloids.</p>\n </div>","PeriodicalId":11045,"journal":{"name":"Dermatologic Therapy","volume":"2024 1","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/6210242","citationCount":"0","resultStr":"{\"title\":\"Analysis and Identification of Methylation-Modifying Genes Associated with Hypoxia and Immunity in Keloids\",\"authors\":\"Chun-Hu Wang, Zi-Rong Li, Meng Wang, Jie Li, Xin Li, Xiao-Ning Yang, You-Bin Wang, Ji-Guang Ma\",\"doi\":\"10.1155/2024/6210242\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n <p><i>Background</i>. Keloids are benign fibroproliferative tumors that are unique to humans. However, the exact mechanism of keloid formation remains unclear. The inflammatory cytokines released by immune cells can activate fibroblasts, connective tissue cell proliferation, and angiogenesis. Hypoxia is common in the process of fibrosis in many diseases. This study aimed to investigate the relationship between immune response, hypoxia, and keloid formation. <i>Methods</i>. Gene methylation and expression data were downloaded from the GEO database. Thereafter, differentially methylated genes associated with immunity and hypoxia were identified. Machine learning was performed to identify potential diagnostic/immunity/hypoxia-related differentially methylated/expressed genes, followed by analysis of functional enrichment, transcription factors, protein-protein interactions, and expression validation by reverse transcription quantitative polymerase chain reaction and immunohistochemistry. <i>Results</i>. In total, 16 immunity/hypoxia-related hypermethylated low-expression genes and 18 immunity/hypoxia-related hypomethylated high-expression genes were identified in keloids. Based on machine learning, nine differentially methylated and expressed genes were selected as potential diagnostic markers for keloids, including two hypoxia-related genes (<i>CDKN1A</i> and <i>PGAM2</i>) and seven immunity-related genes (<i>DCD</i>, <i>PTGDS</i>, <i>WFIKKN1</i>, <i>SEMA5A</i>, <i>IL1R1</i>, <i>ITGAL</i>, and <i>SOS1</i>). Some significantly enriched signaling pathways were identified, including the FoxO, PI3K-Akt, focal adhesion, and ErbB signaling pathways. <i>SOS1</i> is involved in disease regulation with 65 transcription factors and has a higher interaction score with other molecules. <i>Conclusions</i>. Two hypoxia-related genes (<i>CDKN1A</i> and <i>PGAM2</i>) and seven immunity-related genes (<i>DCD</i>, <i>PTGDS</i>, <i>WFIKKN1</i>, <i>SEMA5A</i>, <i>IL1R1</i>, <i>ITGAL</i>, and <i>SOS1</i>) could be considered potential diagnostic markers for keloids, and may be helpful in understanding the importance of oxygen balance and immune regulation in keloids.</p>\\n </div>\",\"PeriodicalId\":11045,\"journal\":{\"name\":\"Dermatologic Therapy\",\"volume\":\"2024 1\",\"pages\":\"\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/6210242\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Dermatologic Therapy\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1155/2024/6210242\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"DERMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Dermatologic Therapy","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/2024/6210242","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DERMATOLOGY","Score":null,"Total":0}
Analysis and Identification of Methylation-Modifying Genes Associated with Hypoxia and Immunity in Keloids
Background. Keloids are benign fibroproliferative tumors that are unique to humans. However, the exact mechanism of keloid formation remains unclear. The inflammatory cytokines released by immune cells can activate fibroblasts, connective tissue cell proliferation, and angiogenesis. Hypoxia is common in the process of fibrosis in many diseases. This study aimed to investigate the relationship between immune response, hypoxia, and keloid formation. Methods. Gene methylation and expression data were downloaded from the GEO database. Thereafter, differentially methylated genes associated with immunity and hypoxia were identified. Machine learning was performed to identify potential diagnostic/immunity/hypoxia-related differentially methylated/expressed genes, followed by analysis of functional enrichment, transcription factors, protein-protein interactions, and expression validation by reverse transcription quantitative polymerase chain reaction and immunohistochemistry. Results. In total, 16 immunity/hypoxia-related hypermethylated low-expression genes and 18 immunity/hypoxia-related hypomethylated high-expression genes were identified in keloids. Based on machine learning, nine differentially methylated and expressed genes were selected as potential diagnostic markers for keloids, including two hypoxia-related genes (CDKN1A and PGAM2) and seven immunity-related genes (DCD, PTGDS, WFIKKN1, SEMA5A, IL1R1, ITGAL, and SOS1). Some significantly enriched signaling pathways were identified, including the FoxO, PI3K-Akt, focal adhesion, and ErbB signaling pathways. SOS1 is involved in disease regulation with 65 transcription factors and has a higher interaction score with other molecules. Conclusions. Two hypoxia-related genes (CDKN1A and PGAM2) and seven immunity-related genes (DCD, PTGDS, WFIKKN1, SEMA5A, IL1R1, ITGAL, and SOS1) could be considered potential diagnostic markers for keloids, and may be helpful in understanding the importance of oxygen balance and immune regulation in keloids.
期刊介绍:
Dermatologic Therapy has been created to fill an important void in the dermatologic literature: the lack of a readily available source of up-to-date information on the treatment of specific cutaneous diseases and the practical application of specific treatment modalities. Each issue of the journal consists of a series of scholarly review articles written by leaders in dermatology in which they describe, in very specific terms, how they treat particular cutaneous diseases and how they use specific therapeutic agents. The information contained in each issue is so practical and detailed that the reader should be able to directly apply various treatment approaches to daily clinical situations. Because of the specific and practical nature of this publication, Dermatologic Therapy not only serves as a readily available resource for the day-to-day treatment of patients, but also as an evolving therapeutic textbook for the treatment of dermatologic diseases.