Research Paper|Volume 16, Issue 10|pp 9127—9146

Identification and validation of lipid metabolism-related key genes as novel biomarkers in acute myocardial infarction and pan-cancer analysis

Hao Xiao¹, Xiaolei Cui¹, Liang Liu¹, Baopu Lv¹, Rui Zhang¹, Tuokang Zheng¹, Dongqi Yao¹, Hengbo Gao¹, Xinshun Gu², Yi Li², Yingping Tian¹

¹Department of Emergency, The Second Hospital of Hebei Medical University, Shijiazhuang, China
²Department of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, China

Received: December 15, 2023Accepted: April 16, 2024Published: May 23, 2024

https://doi.org/10.18632/aging.205860

Copyright: © 2024 Xiao et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Background: Acute myocardial infarction (AMI) is associated with high morbidity and mortality, and is associated with abnormal lipid metabolism. We identified lipid metabolism related genes as biomarkers of AMI, and explored their mechanisms of action.

Methods: Microarray datasets were downloaded from the GEO database and lipid metabolism related genes were obtained from Molecular Signatures Database. WGCNA was performed to identify key genes. We evaluated differential expression and performed ROC and ELISA analyses. We also explored the mechanism of AMI mediated by key genes using gene enrichment analysis. Finally, immune infiltration and pan-cancer analyses were performed for the identified key genes.

Results: TRL2, S100A9, and HCK were identified as key genes related to lipid metabolism in AMI. Internal and external validation (including ELISA) showed that these were good biomarkers of AMI. In addition, the results of gene enrichment analysis showed that the key genes were enriched in inflammatory response, immune system process, and tumor-related pathways. Finally, the results of immune infiltration showed that key genes were concentrated in neutrophils and macrophages, and pan-cancer analysis showed that the key genes were highly expressed in most tumors and were associated with poor prognosis.

Conclusions: TLR2, S100A9, and HCK were identified as lipid metabolism related novel diagnostic biomarkers of AMI. In addition, AMI and tumors may be related through the inflammatory immune response.