Observational studyMedicine2018
Circulating microRNA expression profiling and bioinformatics analysis of dysregulated microRNAs of patients with coronary artery disease.
Observational study in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.
- Circulating microRNAs as biomarkers for ischemic heart disease: a systematic review and gene set enrichment analysis.Frontiers in medicine · 2025Pooled it
- New Biomarkers for Cardiovascular Disease.Texas Heart Institute journal · 2023Review
- Interleukin-35 Mitigates ox-LDL-Induced Proatherogenic Effects via Modulating miRNAs Associated with Coronary Artery Disease (CAD).Cardiovascular drugs and therapy · 2023Article
- Circulating microRNAs as predictive biomarkers of coronary artery diseases in type 2 diabetes patients.Journal of clinical laboratory analysis · 2022Review
- AberrantJournal of dental sciences · 2022Article
- Circulating microRNA-126 as an Independent Risk Predictor of Coronary Artery Disease: A Case-Control Study.EJIFCC · 2021Article
- MiR-467a-5p aggravates myocardial infarction by modulating ZEB1 expression in mice.Journal of molecular histology · 2021Article
- The role of miR-320 in glucose and lipid metabolism disorder-associated diseases.International journal of biological sciences · 2021Review
- Identification of a Potentially Functional microRNA-mRNA Regulatory Network in Lung Adenocarcinoma Using a Bioinformatics Analysis.Frontiers in cell and developmental biology · 2021Article
- Role of MicroRNAs in the Pathogenesis of Coronary Artery Disease.Frontiers in cardiovascular medicine · 2021Review
- Hemodynamics mediated epigenetic regulators in the pathogenesis of vascular diseases.Molecular and cellular biochemistry · 2021Review
- Circulating microRNA as a Biomarker for Coronary Artery Disease.Biomolecules · 2020Review
- MicroRNA and their target mRNAs change expression in whole blood of patients after intracerebral hemorrhage.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020Article
- MiRNAs: A Powerful Tool in Deciphering Gynecological Malignancies.Frontiers in oncology · 2020Review
- Article
- Analysis of Differentially Expressed Genes in Coronary Artery Disease by Integrated Microarray Analysis.Biomolecules · 2019Article
- MicroRNA-98-5p prevents bone regeneration by targeting high mobility group AT-Hook 2.Experimental and therapeutic medicine · 2019Article
- Morin Protects Human Respiratory Cells from PMInternational journal of environmental research and public health · 2019Article
- Characteristics of T cell receptor repertoires of patients with acute myocardial infarction through high-throughput sequencing.Journal of translational medicine · 2019Article
- Circulating MicroRNAs in Cancer: Potential and Challenge.Frontiers in genetics · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MicroRNs (miRNAs) are small non-coding RNAs that modulate the expression of protein-coding genes at the post-transcription level and their dysregulated expression has been implicated in cardiovascular diseases. Circulating miRNAs have been widely recommended as potential biomarkers for many diseases including coronary artery disease. In this study, the miRNA expression profiles of 6 normal coronary artery (NCA), 12 patients with coronary artery disease including 6 unstable angina (UA) patients and 6 ST-segment elevation myocardial infarction (STEMI) patients were determined by small RNA sequencing. The differential expression of miRNAs was verified via using quantitative reverse transcription polymerase chain reaction (qRT-PCR). We further performed bioinformatics analysis for the differentially expressed miRNAs. The results showed that 60 miRNAs were up-regulated and 26 miRNAs were down-regulated in the UA group and 49 miRNAs were up-regulated and 62 miRNAs were down-regulated in the UA group when compared with the NCA group. Among them, both of UA group and STEMI group shared 38 dysregulated miRNAs (28 up-regulated and 10 down-regulated) versus NCA group. ROC curves analysis showed that miR-142-3p and miR-17-5p might server as potential biomarkers for the detection and diagnosis of UA and STEMI. Bioinformatics functional predictions showed that the differential expressed miRNAs were closely related with the pathological process of coronary artery disease. We comprehensively analyzed profile expression of circulating miRNAs of patients with coronary artery disease. Our study suggested that miR-142-3p and miR-17-5p might be potential targets for follow-up research in evaluating biomarkers of coronary artery disease.
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.