ArticleMolecular diagnosis & therapy2023
Role of lncRNAs in Remodeling of the Coronary Artery Plaques in Patients with Atherosclerosis.
Article in Molecular diagnosis & therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Plasma ALKAL2 levels are associated with coronary atherosclerosis in patients with type 2 diabetes mellitus.Cardiovascular diabetology · 2025Article
- Loc4Lnc: Accurate prediction of long noncoding RNA subcellular localization via enhanced RNA sequence representation.Quantitative biology (Beijing, China) · 2025Article
- Role of Long Noncoding RNA Dio3os in Glycolipid Metabolism.Current genomics · 2025Review
- Whys and Wherefores of Coronary Arterial Positive Remodeling.Arteriosclerosis, thrombosis, and vascular biology · 2024Review
- Exosomal miRNA Changes Associated with Restoration to Sinus Rhythm in Atrial Fibrillation Patients.International journal of molecular sciences · 2024Article
- The Role of Epigenetics in Myocardial Infarction: Mechanism, Biomarkers and Therapeutic Potential.Galen medical journal · 2024Review
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionCardiovascular diseases (CVDs) are the leading cause of death worldwide according to World Health Organization (WHO) data. Atherosclerosis is considered as a chronic inflammatory disease that develops in response to damage to the vascular intima-media layer in most cases. In recent years, epigenetic events have emerged as important players in the development and progression of CVDs. Since noncoding RNA (ncRNAs) are important regulators in the organization of the pathophysiological processes of the cardiovascular system, they have the potential to be used as therapeutic targets, diagnostic and prognostic biomarkers. In this study long noncoding RNA (lncRNA) and mRNA gene expression were compared between coronary atherosclerotic plaques (CAP) and the internal mammary artery (IMA) which has the same genetic makeup and is exposed to the same environmental stress conditions with CAP in the same individual.
methodslncRNA and mRNA gene expressions were determined using the microarray in the samples. Microarray results were validated by RT-qPCR. Differentially expressed genes (DEGs; lncRNAs and mRNAs) were determined by GeneSpring (Ver 3.0) [p values < 0.05 and fold change (FC) > 2]. DAVID bioinformatics program was used for Gene Ontology (GO) annotation and enrichment analyses of statistically significant genes between CAP and IMA tissue. RESULTS AND
conclusionsIn our study, 345 DEGs were found to be statistically significant (p < 0.05; FC > 2) between CAP and IMA. Of these, 65 were lncRNA and 280 were mRNA. Thirty-three lncRNAs were upregulated, while 32 lncRNAs were downregulated. Some of the important mRNAs are SPP1, CYP4B1, CHRDL1, MYOC, and ALKAL2, while some of the lncRNAs are LOC105377123, LINC01857, DIO3OS, LOC101928134, and KCNA3 between CAP and IMA tissue. We also identified genes that correlated with statistically significant lncRNAs. The results of this study are expected to be an important source of data in the development of new genetically based drugs to prevent atherosclerotic plaque. In addition, the data obtained may contribute to the explanation of the epigenetic mechanisms that play a role in the pathological basis of the process that protects the IMA from atherosclerosis.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.