Exploring potential biomarkers for acute myocardial infarction by combining circadian rhythm gene expression and immune cell infiltration
Abstract Current diagnostic biomarkers for acute myocardial infarction (AMI), such as troponins, often lack specificity, leading to false positives under non-cardiac conditions. Recent studies have implicated circadian rhythm and immune infiltration in the pathogenesis of AMI. This study hypothesize...
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Nature Portfolio
2025-02-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-88568-2 |
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| author | Xiao Yu Xiaopeng Zhang Hazrat Bilal Chang Shi Lei Sun |
| author_facet | Xiao Yu Xiaopeng Zhang Hazrat Bilal Chang Shi Lei Sun |
| author_sort | Xiao Yu |
| collection | DOAJ |
| description | Abstract Current diagnostic biomarkers for acute myocardial infarction (AMI), such as troponins, often lack specificity, leading to false positives under non-cardiac conditions. Recent studies have implicated circadian rhythm and immune infiltration in the pathogenesis of AMI. This study hypothesizes that analyzing the interplay between circadian rhythm-related gene expression and immune infiltration identify highly specific diagnostic biomarkers for AMI. Our results demonstrated differential expression of 15 circadian rhythm-related genes (CRGs) between AMI patients and healthy individuals, with five key genes—JUN, NAMPT, S100A8, SERPINA1, and VCAN identified as key contributors to this process. Functional enrichment analyses suggest these genes significantly influence cytokine and chemokine production in immune responses. Immune infiltration assessments using ssGSEA indicated elevated levels of neutrophils, macrophages, and eosinophils in AMI patients. Additionally, we identified potential therapeutic implications with 13 pivotal miRNAs and 10 candidate drugs targeting these genes. The Benjamini–Hochberg method was employed to adjust for multiple testing, and the results retained statistical significance. RT-qPCR analysis further confirmed the upregulation of these five genes under hypoxic conditions, compared to controls. Collectively, our findings highlight the critical role of CRGs in AMI, providing a foundation for improved diagnostic approaches and novel therapeutic targets. |
| format | Article |
| id | doaj-art-3e8b2319880544a89c34000850f95c43 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-3e8b2319880544a89c34000850f95c432025-02-02T12:24:46ZengNature PortfolioScientific Reports2045-23222025-02-0115111310.1038/s41598-025-88568-2Exploring potential biomarkers for acute myocardial infarction by combining circadian rhythm gene expression and immune cell infiltrationXiao Yu0Xiaopeng Zhang1Hazrat Bilal2Chang Shi3Lei Sun4Department of Pathology and Forensic Medicine, College of Basic Medical Sciences, Dalian Medical UniversityDepartment of Pathology and Forensic Medicine, College of Basic Medical Sciences, Dalian Medical UniversityDepartment of Pathology and Forensic Medicine, College of Basic Medical Sciences, Dalian Medical UniversityDepartment of Pathology, First Affiliated HospitalDepartment of Pathology and Forensic Medicine, College of Basic Medical Sciences, Dalian Medical UniversityAbstract Current diagnostic biomarkers for acute myocardial infarction (AMI), such as troponins, often lack specificity, leading to false positives under non-cardiac conditions. Recent studies have implicated circadian rhythm and immune infiltration in the pathogenesis of AMI. This study hypothesizes that analyzing the interplay between circadian rhythm-related gene expression and immune infiltration identify highly specific diagnostic biomarkers for AMI. Our results demonstrated differential expression of 15 circadian rhythm-related genes (CRGs) between AMI patients and healthy individuals, with five key genes—JUN, NAMPT, S100A8, SERPINA1, and VCAN identified as key contributors to this process. Functional enrichment analyses suggest these genes significantly influence cytokine and chemokine production in immune responses. Immune infiltration assessments using ssGSEA indicated elevated levels of neutrophils, macrophages, and eosinophils in AMI patients. Additionally, we identified potential therapeutic implications with 13 pivotal miRNAs and 10 candidate drugs targeting these genes. The Benjamini–Hochberg method was employed to adjust for multiple testing, and the results retained statistical significance. RT-qPCR analysis further confirmed the upregulation of these five genes under hypoxic conditions, compared to controls. Collectively, our findings highlight the critical role of CRGs in AMI, providing a foundation for improved diagnostic approaches and novel therapeutic targets.https://doi.org/10.1038/s41598-025-88568-2Circadian rhythm-related genesAcute myocardial infarctionBiomarkerImmune infiltrationBioinformatics analysis |
| spellingShingle | Xiao Yu Xiaopeng Zhang Hazrat Bilal Chang Shi Lei Sun Exploring potential biomarkers for acute myocardial infarction by combining circadian rhythm gene expression and immune cell infiltration Scientific Reports Circadian rhythm-related genes Acute myocardial infarction Biomarker Immune infiltration Bioinformatics analysis |
| title | Exploring potential biomarkers for acute myocardial infarction by combining circadian rhythm gene expression and immune cell infiltration |
| title_full | Exploring potential biomarkers for acute myocardial infarction by combining circadian rhythm gene expression and immune cell infiltration |
| title_fullStr | Exploring potential biomarkers for acute myocardial infarction by combining circadian rhythm gene expression and immune cell infiltration |
| title_full_unstemmed | Exploring potential biomarkers for acute myocardial infarction by combining circadian rhythm gene expression and immune cell infiltration |
| title_short | Exploring potential biomarkers for acute myocardial infarction by combining circadian rhythm gene expression and immune cell infiltration |
| title_sort | exploring potential biomarkers for acute myocardial infarction by combining circadian rhythm gene expression and immune cell infiltration |
| topic | Circadian rhythm-related genes Acute myocardial infarction Biomarker Immune infiltration Bioinformatics analysis |
| url | https://doi.org/10.1038/s41598-025-88568-2 |
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