Trial reportMolecular and cellular biochemistry2022
Determination of microRNAs associated with adverse left ventricular remodeling after myocardial infarction.
Trial report in Molecular and cellular biochemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- miRNA Dysregulation in Cardiovascular Diseases: Current Opinion and Future Perspectives.International journal of molecular sciences · 2023Pooled it
- The silent dialogue between cells: regulatory roles of non-coding RNAs in cardiovascular disease.Frontiers in cell and developmental biology · 2026Review
- Differential gene expression patterns in ST-elevation Myocardial Infarction and Non-ST-elevation Myocardial Infarction.Scientific reports · 2024Article
- Article
- Stability of exosomes in the postmortem serum and preliminary study on exosomal miRNA expression profiling in serum from myocardial infarction cadavers.International journal of legal medicine · 2023Article
- Basic Pathogenic Mechanisms and Epigenetic Players Promoted by Extracellular Vesicles in Vascular Damage.International journal of molecular sciences · 2023Review
- Downregulation of ACE, AGTR1, and ACE2 genes mediating SARS-CoV-2 pathogenesis by gut microbiota members and their postbiotics on Caco-2 cells.Microbial pathogenesis · 2022Article
- Differential Expression of microRNAs in Hypertrophied Myocardium and Their Relationship to Late Gadolinium Enhancement, Left Ventricular Hypertrophy and Remodeling in Hypertrophic Cardiomyopathy.Diagnostics (Basel, Switzerland) · 2022Article
- Extracellular vesicles in cardiac repair and regeneration: Beyond stem-cell-based approaches.Frontiers in cell and developmental biology · 2022Review
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 5 institutions in 2 countries.
Funding
Abstract
Increasing evidence indicates that microRNA (miRNA) regulated mechanisms in myocardial healing and ventricular remodeling following acute myocardial infarction (AMI). We aim to comprehensively investigate changes of exosomal miRNA profile during the post-MI period and determine potential miRNAs associated to adverse left ventricular remodeling (ALVR). We prospectively evaluated ST-elevated MI patients with cardiac magnetic resonance imaging at the 2 weeks and 6 months after AMI (n = 10). ALVR was defined as an increase in LV end-diastolic and end-systolic volume > 13%. The blood samples were taken for miRNA measurements at the baseline, 2 and 6 weeks after AMI. In the miRNA profile assessment, 8 miRNAs were identified that were associated ALVR (miR-199a-5p, miR-23b-3p, miR-26b-5p, miR-301a-3p, miR-374a-5p, miR-423-5p, miR-483-5p and miR-652-3p). Three of them (miR-301a-3p, miR-374a-5p and miR-423-5p) differed significantly between patients with and without ALVR during follow-up period and the rest of them during the acute phase of AMI. The detection of these miRNAs, which have different role in various pathways, necessitate future mechanistic studies unravel the complex remodeling process after AMI.
Indexed as
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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.