الفهرس 
Chapter I: Introduction and Aim of the workOnly 14 pages are availabe for public view
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Abstract
Background: Acute myocardial infarction is a main cause of death all over the worldwide which is recognized by decreased of blood supply to the myocardium due to a lack of oxygen and blockage in the arteries. Many studies aimed to early diagnosis of AMI to avoid its danger.
AIM: we aimed to evaluate the predictive influence of long non-coding RNAs expression in AMI related with FH.
Methodology: using in silico data analysis to retrieve LncRNAs and miRNAs related to glycerophospholipid metabolism dysregulation and specific to AMI that result in selection of LncRNA_FENDRR (Foxf1 adjacent non-coding development regulatory RNA), miRNA-197 and miRNA-221. We measured the expression of the serum non-coding RNAs in 25 healthy volunteers, 20 patients with chest pain due to non- cardiac causes and 65 patients with AMI (35 with AMI-Hypercholesterolemic and 30 with AMI-Non-Hypercholesterolemic) by using quantitative real-time PCR.
Results: the study data analysis show significant down regulation in the expression of serum levels of LncRNA_FENDRR and miRNA-221 in the patients with AMI compared with healthy volunteers. Also, there is upregulation in expression of serum miRNA-197 in the AMI groups in comparison with the healthy control group. Performance characteristics analysis showed that the studied non-coding RNAs were potential biomarkers for prediction of AMI. Moreover, there was a significant association
between the 2 miRNAs and the regulating FENDRR lncRNA.
Conclusion: Together, studied non-coding RNAs (LncRNA_FENDRR, miRNA-197 and miRNA-221) based on putative interactions appears to be novel non-invasive biomarkers that could early detect AMI that could improve health outcome.