Identification of Atrial Fibrillation-related Inflammatory Genes and Their Association with Immune Cell Infiltration Based on Comprehensive Bioinformatic Analysis

Man YANG; Xingan ZHAO; Yunna GE; Juan QIN; Xiya WANG; Siming TAO

doi:10.12259/j.issn.2095-610X.S20240303

Volume 45 Issue 3

Mar. 2024

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Article Navigation > Journal of Kunming Medical University > 2024 > 45(3): 18-29

Man YANG, Xingan ZHAO, Yunna GE, Juan QIN, Xiya WANG, Siming TAO. Identification of Atrial Fibrillation-related Inflammatory Genes and Their Association with Immune Cell Infiltration Based on Comprehensive Bioinformatic Analysis[J]. Journal of Kunming Medical University, 2024, 45(3): 18-29. doi: 10.12259/j.issn.2095-610X.S20240303

Citation:

Man YANG, Xingan ZHAO, Yunna GE, Juan QIN, Xiya WANG, Siming TAO. Identification of Atrial Fibrillation-related Inflammatory Genes and Their Association with Immune Cell Infiltration Based on Comprehensive Bioinformatic Analysis[J]. Journal of Kunming Medical University, 2024, 45(3): 18-29. doi: 10.12259/j.issn.2095-610X.S20240303

Citation:

Man YANG, Xingan ZHAO, Yunna GE, Juan QIN, Xiya WANG, Siming TAO. Identification of Atrial Fibrillation-related Inflammatory Genes and Their Association with Immune Cell Infiltration Based on Comprehensive Bioinformatic Analysis[J]. Journal of Kunming Medical University, 2024, 45(3): 18-29. doi: 10.12259/j.issn.2095-610X.S20240303

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Identification of Atrial Fibrillation-related Inflammatory Genes and Their Association with Immune Cell Infiltration Based on Comprehensive Bioinformatic Analysis

doi: 10.12259/j.issn.2095-610X.S20240303

1.
Dept. of Cardiology，Clinical Medical College，Dali University，Dali 1st People’s Hospital，Dali Yunnan 671000
2.
Dept. of Cardiology，Affiliated Hospital of Yunnan University /Yunnan 2nd People’s Hospital/ Yunnan province Eye Hospital，KunmingYunnan 650021，China

Received Date: 2023-12-12
Available Online: 2024-03-07
Publish Date: 2024-03-30

Abstract

Abstract

Objective To identify inflammation-related genes in atrial fibrillation （AF） and explore the possible role and mechanism of these genes and infiltrating immune cells in the development of AF. Methods A series of bioinformatics analysis combined with machine learning algorithms to identify biomarkers of AF, the receiver operating characteristic （ROC） curves were used to verify the prediction and diagnostic value of key genes, and Spearman correlation analysis was used to clarify the correlation between key genes and infiltrating immune cells. Results 593 differential genes （| log2 （fold change, FC） |> 1, P <0.05）, 7 immune cell subtypes （P <0.05） were selected, 190 immune-related differential genes were obtained, 3 biomarkers （IGF1, PTGS 2 and PPARG）, and the correlation analysis showed that 3 markers were significantly associated with infiltrating immune cells （P < 0.05）. Conclusion IGF1, PTGS2 and PPARG are inflammation-related genes of AF, which are speculated to be closely related to the process and pathway of immune cell infiltration.
- Atrial fibrillation,
- Bioinformatics analysis,
- Immune infiltration,
- Inflammatory response,
- Biomarkers

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References(32)

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