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Nigerian Journal of Clinical Practice
Article . 2025 . Peer-reviewed
License: CC BY NC SA
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Long Non-Coding RNA as a Potential Diagnostic Tool in Coronary Artery Diseases - A Systematic Review

Authors: Sri, A.S. Arthi; Veeraraghavan, V.P.; Patil, S.; Raj, A.T.;

Long Non-Coding RNA as a Potential Diagnostic Tool in Coronary Artery Diseases - A Systematic Review

Abstract

Coronary Artery Disease (CAD) remains a leading global health challenge. Long non-coding RNAs (lncRNAs) have emerged as promising biomarkers for CAD. A systematic review following PRISMA guidelines evaluated 22 studies to assess long non-coding RNAs (lncRNAs) as biomarkers for Coronary Artery Disease (CAD). Among 27 identified lncRNAs in 5,301 participants, KCNQ1OT1, HIF1A-AS2, and APOA1-AS showed notable diagnostic accuracy, with 100% sensitivity and 80% specificity. One lncRNA, OTTHUMT00000387022, exhibited the highest specificity at 98%. Despite methodological differences, consistent diagnostic relevance was observed across studies, with sensitivity and specificity reaching 100% and 98%, respectively. This review underscores the potential of lncRNAs as CAD biomarkers, with 23 upregulated and 4 downregulated lncRNAs identified. Their stable presence in human biofluids and strong association with CAD suggest their utility as diagnostic markers and potential therapeutic targets.

Keywords

Biomarkers, coronary artery disease, diagnostic accuracy, long non‑coding RNA, systematic review, Humans, RNA, Long Noncoding, Coronary Artery Disease, Sensitivity and Specificity, Biomarkers

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid