Abstract

Background

Rapid diagnosis of acute myocardial infarction (AMI) is the subject of many clinical studies as it enables an effective therapy, preventing adverse progression of AMI and increasing survival rates. Recent studies have revealed that specific blood-based long non-coding RNAs (lncRNAs) are deregulated in patients with AMI and serve as promising diagnostic and prognostic tools. The current study aimed to determine the potential role of a hypoxia-responsive lncRNA, hypoxia-inducible factor 1A antisense RNA 2 (HIF1A-AS2), as a biomarker for early diagnosis and predictor of left ventricular dysfunction (LVD).

Methods

This study was carried out on 48 patients with AMI and 50 age-and sex-matched controls. The relative quantification of HIF1A-AS2 expression was done using reverse transcription real‐time polymerase chain reaction.

Results

Compared to the control group, HIF1A-AS2 were significantly higher in MI patients (P < 0.001). Interestingly, patients presenting within 3 h of chest pain onset had elevated levels of HIF1A‐AS2 as compared to patients with late presentation. The ROC curve was constructed to assess HIF1A-AS2 as an early marker. It demonstrated higher sensitivity (94%) and specificity (86%). Moreover, the multivariate regression analysis revealed that HIF1A‐AS2 was significantly associated with LVD in the patient group after 6 months follow up (p = 0.018).

Conclusion

Our study suggests that HIF1A‐AS2 may be a potential early diagnostic biomarker of AMI with high sensitivity. In addition, it might have a promising role as a predictor of left ventricular dysfunction.

Details

Title
LncRNA HIF1A-AS2: a potential biomarker for early diagnosis of acute myocardial infarction and predictor of left ventricular dysfunction
Author
Tayae, Eman; Eman Amr; Zaki, Amr; Dalal Elkaffash
Pages
1-9
Section
Research
Publication year
2023
Publication date
2023
Publisher
BioMed Central
e-ISSN
14712261
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2788447200
Copyright
© 2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.