ReviewHeart failure reviews2020
A miRNA's insight into the regenerating heart: a concise descriptive analysis.
Review in Heart failure reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 8 citations in OpenAlex.
- Dysregulation of miR-25-3p in Diabetic Nephropathy and Its Role in Inflammatory Response.Biochemical genetics · 2025Article
- Cell cycle arrest of cardiomyocytes in the context of cardiac regeneration.Frontiers in cardiovascular medicine · 2025Review
- Analysis of the expression of ARNTL2 and miR-204-5p and their correlation with clinical pathological features in NSCLC patients.American journal of clinical and experimental immunology · 2025Article
- Role of Specificity Protein 1 (SP1) in Cardiovascular Diseases: Pathological Mechanisms and Therapeutic Potentials.Biomolecules · 2024Review
- Bufei Yishen Formula Inhibits the Cell Senescence in COPD by Up-Regulating the ZNF263 and Klotho Expression.International journal of chronic obstructive pulmonary disease · 2023Article
- Study on the Function and Mechanism of miR-585-3p Inhibiting the Progression of Ovarian Cancer Cells by Targeting FSCN1 to Block the MAPK Signaling Pathway.Analytical cellular pathology (Amsterdam) · 2022Article
- Regulation of cardiomyocyte fate plasticity: a key strategy for cardiac regeneration.Signal transduction and targeted therapy · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Manipulation of microRNA (miRNA) expression has been shown to induce cardiac regeneration, consolidating their therapeutic potential. However, studies often validate only a few miRNA targets in each experiment and hold these targets entirely accountable for the miRNAs' action, ignoring the other potential molecular and cellular events involved. In this report, experimentally validated miRNAs are used as a window of discovery for the possible genes and signaling pathways that are implicated in cardiac regeneration. A thorough evidence search was conducted, and identified miRNAs were submitted for in silico dissection using reliable bioinformatics tools. A total of 46 miRNAs were retrieved from existing literature. Shared targets between miRNAs included well-recognized genes such as BCL-2, CCND1, and PTEN. Transcription factors that are possibly involved in the regeneration process such as SP1, CTCF, and ZNF263 were also identified. The analysis confirmed well-established signaling pathways involved in cardiac regeneration such as Hippo, MAPK, and AKT signaling, and revealed new pathways such as ECM-receptor interaction, and FoxO signaling on top of hormonal pathways such as thyroid, adrenergic, and estrogen signaling pathways. Additionally, a set of differentially expressed miRNAs were identified as potential future experimental candidates.
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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.