ReviewJournal of cardiovascular translational research2022
Biological Functions and Clinical Prospects of Extracellular Non-Coding RNAs in Diabetic Cardiomyopathy: an Updated Review.
Review in Journal of cardiovascular translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 7 citations in OpenAlex.
- Yixiao Formula Suppresses Myocardial Fibrosis Through UpregulatingmiR-133a and Downregulating TGF-Journal of diabetes research · 2026Article
- Established and Emerging Roles of Epigenetic Regulation in Diabetic Cardiomyopathy.Diabetes/metabolism research and reviews · 2025Review
- Article
- Identification of important modules and biomarkers in diabetic cardiomyopathy based on WGCNA and LASSO analysis.Frontiers in endocrinology · 2024Article
- Therapeutic Potential of EVs: Targeting Cardiovascular Diseases.Biomedicines · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetic cardiomyopathy (DCM) is one of the major causes of heart failure in diabetic patients. However, the pathogenesis of diabetic cardiomyopathy has not been fully elucidated. Diagnosis and therapeutic strategy of DCM is still challenging. Various non-coding RNAs (ncRNA) are implicated in the onset and progression of DCM. Interestingly, ncRNAs not only are regulators intracellularly, but also can exist and function in extracellular space. Recent evidences have demonstrated that extracellular ncRNAs play emerging roles in both intracardiac and inter-organ communication during the pathogenesis of DCM; thus, extracellular ncRNAs are attractive diagnostic biomarkers and potential therapeutic targets for DCM. This article will review the current knowledge of the roles of extracellular ncRNAs in DCM, especially focusing on their physio-pathological properties and perspectives of potential clinical translation for biomarkers and therapies. Recent evidences have demonstrated that extracellular ncRNA play emerging roles in both intracardiac and inter-organ communication involved in the pathogenesis of diabetic cardiomyopathy (DCM), thus shown as attractive diagnostic biomarkers and potential therapeutics for DCM. In the current review, we first summarize the progress regarding the paracrine role of extracellular ncRNA in DCM. miRNAs and circRNAs have been shown to mediate the communication among cardiomyocytes, endothelial cells, and vascular smooth muscle cells in the diabetic heart. Subsequently, we systematically describe that extracellular ncRNAs contribute to the crosstalk between the heart and other organs in the context of diabetes. Researches have indicated that miRNAs acted as hepatokines and adipokines to mediates the injure effect of distal organs on hearts. As for clinical application, extracellular ncRNAs are promising biomarker and have therapeutic potential. (Created with BioRender.com).
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.