Identification of disulfidptosis-related genes and analysis of immune infiltration characteristics in ischemic strokes
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Published:2023
Issue:10
Volume:20
Page:18939-18959
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ISSN:1551-0018
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Container-title:Mathematical Biosciences and Engineering
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language:
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Short-container-title:MBE
Author:
Qin Rongxing1, Huang Lijuan12, Xu Wei12, Qin Qingchun12, Liang Xiaojun1, Lai Xinyu1, Huang Xiaoying1, Xie Minshan1, Chen Li12
Affiliation:
1. Department of Neurology, the First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, China 2. State Key Laboratory of Targeting Oncology, National Center for International Research of Biotargeting Theranostics, Guangxi Key Laboratory of Biotargeting Theranostics, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning 530021, China
Abstract
<abstract>
<p>Immune infiltration plays a pivotal role in the pathogenesis of ischemic stroke. A novel form of cell death known as disulfidptosis has emerged in recent studies. However, there is currently a lack of research investigating the regulatory mechanism of disulfidptosis-related genes in immune infiltration during ischemic stroke. Using machine learning methods, we identified candidate key disulfidptosis-related genes (DRGs). Subsequently, we performed an analysis of immune cell infiltration to investigate the dysregulation of immune cells in the context of ischemic stroke. We assessed their diagnostic value by employing receiver operating characteristic (ROC) curves. To gain further insights, we conducted functional enrichment analyses to elucidate the signaling pathways associated with these seven DRGs. We identified two distinct subclusters based on the expression patterns of these seven DRGs. The unique roles of these subclusters were further evaluated through KEGG analysis and immune infiltration studies. Furthermore, we validated the expression profiles of these seven DRGs using both single-cell datasets and external datasets. Lastly, molecular docking was performed to explore potential drugs for the treatment of ischemic stroke. We identified seven DRGs. The seven DRGs are related to immune cells. Additionally, these seven DRGs also demonstrate potential diagnostic value in ischemic stroke. Functional enrichment analysis highlighted pathways such as platelet aggregation and platelet activation. Two subclusters related to disulfidptosis were defined, and functional enrichment analysis of their differentially expressed genes (DEGs) primarily involved pathways like cytokine-cytokine receptor interaction. Single-cell analysis indicated that these seven DRGs were primarily distributed among immune cell types. Molecular docking results suggested that genistein might be a potential therapeutic drug. This study has opened up new avenues for exploring the causes of ischemic stroke and developing potential therapeutic targets.</p>
</abstract>
Publisher
American Institute of Mathematical Sciences (AIMS)
Subject
Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modeling and Simulation,General Medicine
Reference66 articles.
1. B. C. V. Campbell, P. Khatri, Stroke, Lancet (London, England), 396 (2020), 129–142. http://doi.org/10.1016/s0140-6736(20)31179-x 2. M. Katan, A. Luft, Global Burden of Stroke, Seminars Neurol., 38 (2018), 208–211. http://doi.org/10.1055/s-0038-1649503 3. V. L. Feigin, G. Nguyen, K. Cercy, C. O. Johnson, T. Alam, P. G. Parmar, et al., Global, regional, and country-specific lifetime risks of stroke, 1990 and 2016, New England J. Med., 379 (2018), 2429–2437. http://doi.org/10.1056/NEJMoa1804492 4. S. S. Virani, A. Alonso, E. J. Benjamin, M. S. Bittencourt, C. W. Callaway, A. P. Carson, et al., Heart disease and stroke statistics-2020 update: A report from the American Heart Association, Circulation, 141 (2020), e139–e596. http://doi.org/10.1161/cir.0000000000000757 5. A. K. Boehme, C. Esenwa, M. S. Elkind, Stroke Risk Factors, Genetics, and Prevention, Circulation research, 120 (2017), 472–495. http://doi.org/10.1161/circresaha.116.308398
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