ArticleMolecular biology reports2014
Integrated microRNA-mRNA analysis of coronary artery disease.
Article in Molecular biology reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 20 citations in OpenAlex.
- Circulating plasma microRNA expression profile: potential minimally invasive biomarker for early detection of coronary artery disease development.Molecular biology reports · 2025Article
- Integrative single-cell and bulk RNA-seq analyses identify CD4Frontiers in immunology · 2024Article
- Bioinformatics analysis to screen for genes related to myocardial infarction.Frontiers in genetics · 2022Article
- Identification of distinct circulating microRNAs in acute ischemic stroke patients with type 2 diabetes mellitus.Frontiers in cardiovascular medicine · 2022Article
- Plasma expression of microRNA-425-5p and microRNA-451a as biomarkers of cardiovascular disease in rheumatoid arthritis patients.Scientific reports · 2021Article
- SPOCK1 Involvement in Epithelial-to-Mesenchymal Transition: A New Target in Cancer Therapy?Cancer management and research · 2020Review
- Identification of coordinately regulated microRNA-gene networks that differ in baboons discordant for LDL-cholesterol.PloS one · 2019Article
- Next generation MicroRNA sequencing to identify coronary artery disease patients at risk of recurrent myocardial infarction.Atherosclerosis · 2018Article
- Differential expression of microRNAs following cardiopulmonary bypass in children with congenital heart diseases.Journal of translational medicine · 2017Article
- Integrated microRNA‑gene analysis of coronary artery disease based on miRNA and gene expression profiles.Molecular medicine reports · 2016Article
- Weighted gene co-expression network analysis identifies specific modules and hub genes related to coronary artery disease.BMC cardiovascular disorders · 2016Article
- Developing Peripheral Blood Gene Expression-Based Diagnostic Tests for Coronary Artery Disease: a Review.Journal of cardiovascular translational research · 2015Review
- Expression profiling of preadipocyte microRNAs by deep sequencing on chicken lines divergently selected for abdominal fatness.PloS one · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although patients with coronary artery disease (CAD) have a high mortality rate, the pathogenesis of CAD is still poorly understood. The purpose of this study was to explore the underlying molecular mechanisms and potential target molecules for CAD. The platelet miRNA (GSE28858) and blood mRNA (GSE42148) expression profiles of patients with CAD and healthy controls were downloaded from Gene Expression Omnibus. Differentially expressed miRNAs and genes (DEGs) were identified by significant analysis of microarray algorithm after data preprocessing. Furthermore, the miRNA-target gene regulatory network was constructed based on miRecords database. The spearman correlation coefficients (ρ) between miRNAs and their target genes were calculated. Six up- (miR-340, miR-545, miR-451, miR454-5p, miR-624 and miR-585) and four down-regulated (miR-199a, miR-17-3p, miR-154 and miR-339) miRNAs were screened. Total 295 target genes of miR-545, miR-451, miR-585 and miR-154 were predicted. Among these 295 target genes, 7 genes were DEGs. Further analysis showed miR-545-TFEC and miR-585-SPOCK1 were highly positively correlated (ρ = 0.808091264; ρ = 0.874680776) in CAD samples. Therefore, differentially expressed miRNAs might participate in the pathogenesis of CAD by regulating their target genes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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 OpenQuestion graph.