Abstract

Background. Stress cardiomyopathy (SCM) is a transient reversible left ventricular dysfunction that more often occurs in women. Symptoms of SCM patients are similar to those of acute coronary syndrome (ACS), but little is known about biomarkers. The goals of this study were to identify the potentially crucial genes and pathways associated with SCM. Methods. We analyzed microarray datasets GSE95368 derived from the Gene Expression Omnibus (GEO) database. Firstly, identify the differentially expressed genes (DEGs) between SCM patients in normal patients. Then, the DEGs were used for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Finally, the protein-protein interaction (PPI) network was constructed and Cytoscape was used to find the key genes. Results. In total, 25 DEGs were identified, including 10 upregulated genes and 15 downregulated genes. These DEGs were mainly enriched in ECM-receptor interaction, dilated cardiomyopathy (DCM), human papillomavirus infection, and focal adhesion, whereas in GO function classification, they were mainly enriched in the extracellular region, positive regulation of the multicellular organismal process, establishment of localization, and intracellular vesicle. Conclusion. Seven hub genes contained APOE, MFGE8, ALB, APOB, SAA1, A2M, and C3 identified as hub genes of SCM, which might be used as diagnostic biomarkers or molecular targets for the treatment of SCM.

Details

Title
MFGE8, ALB, APOB, APOE, SAA1, A2M, and C3 as Novel Biomarkers for Stress Cardiomyopathy
Author
Xiao-Yu, Pan 1   VIAFID ORCID Logo  ; Zai-Wei, Zhang 2   VIAFID ORCID Logo 

 Department of Clinical Medical College, Jining Medical University, Jining, Shandong 272067, China; Department of Cardiology, Jining No. 1 People’s Hospital, Jining, Shandong 272011, China 
 Department of Cardiology, Jining No. 1 People’s Hospital, Jining, Shandong 272011, China; Cardiovascular Research Institute, Jining No.1 People’s Hospital, Jining, Shandong 272011, China 
Editor
Annalisa Romani
Publication year
2020
Publication date
2020
Publisher
John Wiley & Sons, Inc.
ISSN
17555914
e-ISSN
17555922
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2423437145
Copyright
Copyright © 2020 Xiao-Yu Pan and Zai-Wei Zhang. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. http://creativecommons.org/licenses/by/4.0/