ArticleFrontiers in genetics2022
Integrated Analysis of circRNA-miRNA-mRNA ceRNA Network in Cardiac Hypertrophy.
Article in Frontiers in genetics, 2022. 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, 19 citations in OpenAlex.
- Diagnostic value of miR-148b-3p in left ventricular hypertrophy patients with hypertension.BMC cardiovascular disorders · 2026Article
- circRNA hsa_circ_0072107 aggravates myocardial hypertrophy via its function as a competitive endogenous RNA of miR‑516b‑5p.Molecular medicine reports · 2025Article
- [The splicing factor HNRNPH1 regulates Circ-MYOCD back-splicing to modulate the course of cardiac hypertrophy].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2025Article
- Identification of Pivotal ceRNA Networks Associated with Stanford-A Aortic Dissection via Integrated Bioinformatics Analysis.International journal of general medicine · 2025Article
- Brain-derived extracellular vesicles potentially mediate crosstalk with peripheral organs in neurodegenerative diseases.Frontiers in cell and developmental biology · 2025Review
- Decoding dynamic miRNA:ceRNA interactions unveils therapeutic insights and targets across predominant cancer landscapes.BioData mining · 2024Article
- CircRNA-mediated regulation of cardiovascular disease.Frontiers in cardiovascular medicine · 2024Review
- Diagnostic and treatment value ofJournal of thoracic disease · 2023Article
- MicroRNA‑378: An important player in cardiovascular diseases (Review).Molecular medicine reports · 2023Review
- The Current Therapeutic Role of Chromatin Remodeling for the Prognosis and Treatment of Heart Failure.Biomedicines · 2023Review
- Identification of circRNA-miRNA-mRNA regulatory network and its role in cardiac hypertrophy.PloS one · 2023Article
- Identification of circular RNAs in cardiac hypertrophy and cardiac fibrosis.Frontiers in pharmacology · 2022Article
- Reconstruction and Differential Expression Profiling Core Target Analyses of the circRNA-miRNA-mRNA Network Based on Competitive Endogenous RNAs in Ulcerative Colitis.Evidence-based complementary and alternative medicine : eCAM · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cardiac hypertrophy is an adaptive cardiac response that accommodates the variable hemodynamic demands of the human body during extended periods of preload or afterload increase. In recent years, an increasing number of studies have pointed to a potential connection between myocardial hypertrophy and abnormal expression of non-coding RNAs. Circular RNA (circRNA), as one of the non-coding RNAs, plays an essential role in cardiac hypertrophy. However, few studies have systematically analyzed circRNA-related competing endogenous RNA (ceRNA) regulatory networks associated with cardiac hypertrophy. Therefore, we used public databases from online prediction websites to predict and screen differentially expressed mRNAs and miRNAs and ultimately obtained circRNAs related to cardiac hypertrophy. Based on this result, we went on to establish a circRNAs-related ceRNA regulatory network. This study is the first to establish a circRNA-mediated ceRNA regulatory network associated with myocardial hypertrophy. To verify the results of our analysis, we used PCR to verify the differentially expressed mRNAs and miRNAs in animal myocardial hypertrophy model samples. Our findings suggest that three mRNAs (Col12a1, Thbs1, and Tgfbr3), four miRNAs (miR-20a-5p, miR-27b-3p, miR-342-3p, and miR-378a-3p), and four related circRNAs (circ_0002702, circ_0110609, circ_0013751, and circ_0047959) may play a key role in cardiac hypertrophy.
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.