Role of microRNAs in diabetes and its cardiovascular complications
Open accessAbstract
Diabetes is the most common metabolic disorder and is recognized as one of the most important health threats of our time. MicroRNAs (miRNAs) are a novel group of non-coding small RNAs that have been implicated in a variety of physiological processes, including glucose homeostasis. Recent research has suggested that miRNAs play a critical role in the pathogenesis of diabetes and its related cardiovascular complications. This review focuses on the aberrant expression of miRNAs in diabetes and examines their role in the pathogenesis of endothelial dysfunction, cardiovascular disease, and diabetic retinopathy. Furthermore, we discuss the potential role of miRNAs as blood biomarkers and examine the potential of therapeutic interventions targeting miRNAs in diabetes.
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microRNAs may link the metabolic dysregulation seen in prediabetes with vascular dysfunction.
“microRNAs may also link the metabolic dysregulation seen in prediabetes with vascular dysfunction.”
From The Vasculature in Prediabetes (2018) · cites this paper as [135]
microRNAs can alter the expression of genes in insulin-producing and insulin-sensitive tissues, including the pancreas, liver, and vasculature.
“microRNAs can alter the expression of genes in insulin-producing and insulin-sensitive tissues, including the pancreas, liver, and vasculature.”
From The Vasculature in Prediabetes (2018) · cites this paper as [135]
Hyperglycemia increases the expression of several microRNAs found in the endothelium, including miR-320, miR-221, miR-503, and miR-125b.
“Hyperglycemia increases the expression of several microRNAs found in the endothelium, including miR-320, miR-221, miR-503, and miR-125b.”
From The Vasculature in Prediabetes (2018) · cites this paper as [135]
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Circulating microRNAs as novel biomarkers for diabetes mellitus
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The Vasculature in Prediabetes
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Suresh Babu, S., Thandavarayan, R. A., Joladarashi, D., Jeyabal, P., Krishnamurthy, S., Bhimaraj, A., Youker, K. A., & Krishnamurthy, P. (2016) · Scientific Reports · doi:10.1038/srep36207 · Cited by 119 · see citing works
- Authors
- Shantikumar, S., Caporali, A., & Emanueli, C.
- Affiliations
- Bristol Royal Infirmary (GB)
- Corresponding author
- Emanueli, C.
- Venue
- Cardiovascular Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-11-07
- Volume
- 93
- Issue
- 4
- Pages
- 583-593
- ISSN
- 0008-6363 (ISSN-L)
- PMC
- PMC3291087
- OpenAlex
- W2121271900
- Cited by
- 263
- References
- 129
- Citations by year
- 2026: 7 · 2025: 10 · 2024: 8 · 2023: 13 · 2022: 19 · 2021: 13 · 2020: 16 · 2019: 19 · 2018: 30 · 2017: 24 · 2016: 23 · 2015: 21 · 2014: 21 · 2013: 26 · 2012: 13
- FWCI
- 1.39
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- cc-by-nc
- Locations
- Cardiovascular Research (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by-nc)
- Explore Bristol Research (submittedVersion)
- Bristol Research (University of Bristol) (submittedVersion)
- Funders
- British Heart Foundation (FS/10/61/28566, FS/10/001/27959)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Extracellular vesicles in disease
- Health Sciences › Medicine › Surgery › Pancreatic function and diabetes
- Keywords
- microRNA, diabetes mellitus, cardiovascular complications, endothelial dysfunction, diabetic retinopathy, glucose homeostasis, blood biomarkers, miRNA-targeted therapy, diabetic cardiomyopathy
- MeSH terms
- Animals, Diabetic Angiopathies, Diabetic Retinopathy, Disease Models, Animal, Endothelium, Vascular, Humans, Insulin Resistance, Biomarkers, MicroRNAs, Diabetes Complications, Diabetic Cardiomyopathies
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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