Identification of Diagnostically Relevant Biomarkers in Patients with Coronary Artery Disease by Comprehensive Analysis

We constructed an efficient diagnostic model based on 6 key ERS-DEGs and explored their regulatory networks and effects on the CAD immune microenvironment. UFL1, HSPA1A, ERLIN1, LRRK2, ERN1, SERINC3 are expected to be biomarkers for CAD.

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Publication Details

Journal
Journal of Inflammation Research
Published
2024-12-01
DOI
https://doi.org/10.2147/jir.s494438
Citations
1
Primary Topic
Endoplasmic Reticulum Stress and Disease
Type
article
Field-Weighted Citation Impact
0.33
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article

Identification of Diagnostically Relevant Biomarkers in Patients with Coronary Artery Disease by Comprehensive Analysis

Sisi Mo, Zimin Wu, Zena Huang, Baoshi Zheng
1 citations
Journal of Inflammation Research
Endoplasmic Reticulum Stress and Disease
0.33
article

Identification of Diagnostically Relevant Biomarkers in Patients with Coronary Artery Disease by Comprehensive Analysis

Sisi Mo, Zimin Wu, Zena Huang, Baoshi Zheng
article en
1 citations

Abstract

We constructed an efficient diagnostic model based on 6 key ERS-DEGs and explored their regulatory networks and effects on the CAD immune microenvironment. UFL1, HSPA1A, ERLIN1, LRRK2, ERN1, SERINC3 are expected to be biomarkers for CAD.

Journal of Inflammation ResearchVol. Volume 17
Guangxi Medical University (CN), First Affiliated Hospital of GuangXi Medical University (CN)
Life in Land
Openalex Percentile: Top 39%
Endoplasmic Reticulum Stress and Disease
0.33
DOIOpen Access PDFOpenAlex
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