Exploring the role of oxidative stress in carotid atherosclerosis: insights from transcriptomic data and single-cell sequencing combined with machine learning
Abstract Background Carotid atherosclerotic plaque is the primary cause of cardiovascular and cerebrovascular diseases. It is closely related to oxidative stress and immune inflammation. This bioinformatic study was conducted to identify key oxidative stress-related genes and key immune cell infiltr...
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BMC
2025-01-01
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| Series: | Biology Direct |
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| Online Access: | https://doi.org/10.1186/s13062-025-00600-7 |
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| author | Yiqin Yang Mei Dong |
| author_facet | Yiqin Yang Mei Dong |
| author_sort | Yiqin Yang |
| collection | DOAJ |
| description | Abstract Background Carotid atherosclerotic plaque is the primary cause of cardiovascular and cerebrovascular diseases. It is closely related to oxidative stress and immune inflammation. This bioinformatic study was conducted to identify key oxidative stress-related genes and key immune cell infiltration involved in the formation, progression, and stabilization of plaques and investigate the relationship between them. Results We show that the up-regulation of oxidative stress-related genes such as IDH1 and CD36 in resident-like macrophages and foam macrophages play a key role in the formation and progression of carotid atherosclerotic plaques. Conclusions We discuss the role of oxidative stress and immune inflammation in the formation, progression, and stabilization of plaques by combining predictive models with analysis of single-cell data. It introduced novel insights into the mechanisms underlying carotid atherosclerosis formation and plaque progression and may assist in identifying potential therapeutic targets for their treatment. |
| format | Article |
| id | doaj-art-3c0ac0f1e5434d4a908e75bababbb1c0 |
| institution | Kabale University |
| issn | 1745-6150 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | Biology Direct |
| spelling | doaj-art-3c0ac0f1e5434d4a908e75bababbb1c02025-02-02T12:12:26ZengBMCBiology Direct1745-61502025-01-0120111710.1186/s13062-025-00600-7Exploring the role of oxidative stress in carotid atherosclerosis: insights from transcriptomic data and single-cell sequencing combined with machine learningYiqin Yang0Mei Dong1The Second School of Clinical Medicine, Shandong UniversityNational Key Laboratory for Innovation and Transformation of Luobing Theory; The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical SciencesAbstract Background Carotid atherosclerotic plaque is the primary cause of cardiovascular and cerebrovascular diseases. It is closely related to oxidative stress and immune inflammation. This bioinformatic study was conducted to identify key oxidative stress-related genes and key immune cell infiltration involved in the formation, progression, and stabilization of plaques and investigate the relationship between them. Results We show that the up-regulation of oxidative stress-related genes such as IDH1 and CD36 in resident-like macrophages and foam macrophages play a key role in the formation and progression of carotid atherosclerotic plaques. Conclusions We discuss the role of oxidative stress and immune inflammation in the formation, progression, and stabilization of plaques by combining predictive models with analysis of single-cell data. It introduced novel insights into the mechanisms underlying carotid atherosclerosis formation and plaque progression and may assist in identifying potential therapeutic targets for their treatment.https://doi.org/10.1186/s13062-025-00600-7Oxidative stressImmune inflammationSingle-cell sequencingMachine learning |
| spellingShingle | Yiqin Yang Mei Dong Exploring the role of oxidative stress in carotid atherosclerosis: insights from transcriptomic data and single-cell sequencing combined with machine learning Biology Direct Oxidative stress Immune inflammation Single-cell sequencing Machine learning |
| title | Exploring the role of oxidative stress in carotid atherosclerosis: insights from transcriptomic data and single-cell sequencing combined with machine learning |
| title_full | Exploring the role of oxidative stress in carotid atherosclerosis: insights from transcriptomic data and single-cell sequencing combined with machine learning |
| title_fullStr | Exploring the role of oxidative stress in carotid atherosclerosis: insights from transcriptomic data and single-cell sequencing combined with machine learning |
| title_full_unstemmed | Exploring the role of oxidative stress in carotid atherosclerosis: insights from transcriptomic data and single-cell sequencing combined with machine learning |
| title_short | Exploring the role of oxidative stress in carotid atherosclerosis: insights from transcriptomic data and single-cell sequencing combined with machine learning |
| title_sort | exploring the role of oxidative stress in carotid atherosclerosis insights from transcriptomic data and single cell sequencing combined with machine learning |
| topic | Oxidative stress Immune inflammation Single-cell sequencing Machine learning |
| url | https://doi.org/10.1186/s13062-025-00600-7 |
| work_keys_str_mv | AT yiqinyang exploringtheroleofoxidativestressincarotidatherosclerosisinsightsfromtranscriptomicdataandsinglecellsequencingcombinedwithmachinelearning AT meidong exploringtheroleofoxidativestressincarotidatherosclerosisinsightsfromtranscriptomicdataandsinglecellsequencingcombinedwithmachinelearning |