{"title":"心肌梗死中心基因的实验验证及生物信息学分析","authors":"Li-Jun Wang, Bai-Quan Qiu, Hua-Xi Zou, Cheng-Wu Gong, Song-Qing Lai, Jian-Jun Xu, Yong-Bing Wu, Ji-Chun Liu","doi":"10.1080/26895293.2023.2255753","DOIUrl":null,"url":null,"abstract":"There is an urgent need to explore and validate novel biomarkers relevant to patients with myocardial infarction (MI), which is the leading cause of death in the world. Dysregulated microRNAs (miRNAs) and messenger RNAs (mRNAs) based on two Gene Expression Omnibus microarrays were analyzed using bioinformatics technology and experiments. KEGG and GO enrichment analyses were performed to explore potential mechanisms of myocardial infarction progression. Immune infiltration analysis was used to assess the relationship between the immune microenvironment and myocardial infarction. The DOX-induced myocardial injury model was used to simulate myocardial infarction. qRT-PCR was performed to validate the expression of hub genes. 5 downregulated miRNAs and 14 upregulated mRNAs were identified in total. Functional analysis revealed that some immune-related pathways were significantly enriched. T cells CD8+ were mainly enriched in the normal tissues compared to the myocardial infarction tissues. Meanwhile, the T cells CD4+ memory resting were highly enriched in the myocardial infarction tissues compared to the normal tissues. Experimental validation of miRNAs and mRNAs contributed to the identification of 4 miRNAs and 12 mRNAs that may play a crucial role in the DOX-induced myocardial infarction cell model. Our study successfully identified several genes that may be related to myocardial infarction progression.","PeriodicalId":48478,"journal":{"name":"All Life","volume":"14 1","pages":"0"},"PeriodicalIF":1.0000,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Experimental validation and bioinformatics analysis of hub genes in myocardial infarction\",\"authors\":\"Li-Jun Wang, Bai-Quan Qiu, Hua-Xi Zou, Cheng-Wu Gong, Song-Qing Lai, Jian-Jun Xu, Yong-Bing Wu, Ji-Chun Liu\",\"doi\":\"10.1080/26895293.2023.2255753\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There is an urgent need to explore and validate novel biomarkers relevant to patients with myocardial infarction (MI), which is the leading cause of death in the world. Dysregulated microRNAs (miRNAs) and messenger RNAs (mRNAs) based on two Gene Expression Omnibus microarrays were analyzed using bioinformatics technology and experiments. KEGG and GO enrichment analyses were performed to explore potential mechanisms of myocardial infarction progression. Immune infiltration analysis was used to assess the relationship between the immune microenvironment and myocardial infarction. The DOX-induced myocardial injury model was used to simulate myocardial infarction. qRT-PCR was performed to validate the expression of hub genes. 5 downregulated miRNAs and 14 upregulated mRNAs were identified in total. Functional analysis revealed that some immune-related pathways were significantly enriched. T cells CD8+ were mainly enriched in the normal tissues compared to the myocardial infarction tissues. Meanwhile, the T cells CD4+ memory resting were highly enriched in the myocardial infarction tissues compared to the normal tissues. Experimental validation of miRNAs and mRNAs contributed to the identification of 4 miRNAs and 12 mRNAs that may play a crucial role in the DOX-induced myocardial infarction cell model. Our study successfully identified several genes that may be related to myocardial infarction progression.\",\"PeriodicalId\":48478,\"journal\":{\"name\":\"All Life\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2023-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"All Life\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/26895293.2023.2255753\",\"RegionNum\":4,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"All Life","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/26895293.2023.2255753","RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Experimental validation and bioinformatics analysis of hub genes in myocardial infarction
There is an urgent need to explore and validate novel biomarkers relevant to patients with myocardial infarction (MI), which is the leading cause of death in the world. Dysregulated microRNAs (miRNAs) and messenger RNAs (mRNAs) based on two Gene Expression Omnibus microarrays were analyzed using bioinformatics technology and experiments. KEGG and GO enrichment analyses were performed to explore potential mechanisms of myocardial infarction progression. Immune infiltration analysis was used to assess the relationship between the immune microenvironment and myocardial infarction. The DOX-induced myocardial injury model was used to simulate myocardial infarction. qRT-PCR was performed to validate the expression of hub genes. 5 downregulated miRNAs and 14 upregulated mRNAs were identified in total. Functional analysis revealed that some immune-related pathways were significantly enriched. T cells CD8+ were mainly enriched in the normal tissues compared to the myocardial infarction tissues. Meanwhile, the T cells CD4+ memory resting were highly enriched in the myocardial infarction tissues compared to the normal tissues. Experimental validation of miRNAs and mRNAs contributed to the identification of 4 miRNAs and 12 mRNAs that may play a crucial role in the DOX-induced myocardial infarction cell model. Our study successfully identified several genes that may be related to myocardial infarction progression.