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He Y, Chen Y, Yao L, Wang J, Sha X, Wang Y. The Inflamm-Aging Model Identifies Key Risk Factors in Atherosclerosis. Front Genet 2022; 13:865827. [PMID: 35706446 PMCID: PMC9191626 DOI: 10.3389/fgene.2022.865827] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Accepted: 04/26/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Atherosclerosis, one of the main threats to human life and health, is driven by abnormal inflammation (i.e., chronic inflammation or oxidative stress) during accelerated aging. Many studies have shown that inflamm-aging exerts a significant impact on the occurrence of atherosclerosis, particularly by inducing an immune homeostasis imbalance. However, the potential mechanism by which inflamm-aging induces atherosclerosis needs to be studied more thoroughly, and there is currently a lack of powerful prediction models.Methods: First, an improved inflamm-aging prediction model was constructed by integrating aging, inflammation, and disease markers with the help of machine learning methods; then, inflamm-aging scores were calculated. In addition, the causal relationship between aging and disease was identified using Mendelian randomization. A series of risk factors were also identified by causal analysis, sensitivity analysis, and network analysis.Results: Our results revealed an accelerated inflamm-aging pattern in atherosclerosis and suggested a causal relationship between inflamm-aging and atherosclerosis. Mechanisms involving inflammation, nutritional balance, vascular homeostasis, and oxidative stress were found to be driving factors of atherosclerosis in the context of inflamm-aging.Conclusion: In summary, we developed a model integrating crucial risk factors in inflamm-aging and atherosclerosis. Our computation pipeline could be used to explore potential mechanisms of related diseases.
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Affiliation(s)
- Yudan He
- Department of Biomedical Engineering, School of Intelligent Sciences, China Medical University, Shenyang, China
| | - Yao Chen
- Department of Biomedical Engineering, School of Intelligent Sciences, China Medical University, Shenyang, China
| | - Lilin Yao
- Department of Biomedical Engineering, School of Intelligent Sciences, China Medical University, Shenyang, China
| | - Junyi Wang
- Department of Biomedical Engineering, School of Intelligent Sciences, China Medical University, Shenyang, China
| | - Xianzheng Sha
- Department of Biomedical Engineering, School of Intelligent Sciences, China Medical University, Shenyang, China
| | - Yin Wang
- Department of Biomedical Engineering, School of Intelligent Sciences, China Medical University, Shenyang, China
- Tumor Etiology and Screening Department of Cancer Institute and General Surgery, The First Affiliated Hospital of China Medical University, Shenyang, China
- *Correspondence: Yin Wang,
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