Hypertension (HT) is the most common public-health challenge and shows a high incidence around the world. Cardiovascular diseases are the leading cause of mortality and morbidity among the elderly (age 

>

 65 years) in the United States. Now

there is widespread acceptance of the causal link between HT and acute myocardial infarction (MI). This is the first data-mining study to identify co-expressed differentially expressed genes (co-DEGs) between HT and MI (relative to normal control) and to uncover potential biomarkers and therapeutic targets of HT-related MI. In this manuscript

HT-specific DEGs and MI-specific DEGs and differentially expressed microRNAs (DE-miRNAs) were identified in Gene Expression Omnibus (GEO) datasets GSE24752

GSE60993

GSE62646

and GSE24548 after data consolidation and batch correction. Subsequently

enrichment in Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways as well as protein–protein interaction networks were identified

and single-gene gene set enrichment analysis was performed to determine the affected biological categories and networks. Cross-matching of the results on co-DE-miRNAs and predicted miRNAs targeting the co-DEGs was conducted and discussed as well. We found that

MYC

and

HIST1H2BO

may be associated with HT

whereas

FCGR1A

FYN

KLRD1

KLRB1

and

FOLR3

may be implicated in MI. Moreover

co-DEGs

FOLR3

and

NFE2

with predicted miRNAs and DE-miRNAs

especially miR-7 and miR-548

may be significantly associated and show huge potential as a new set of novel biomarkers and important molecular targets in the course of HT-related MI.