ArticleCardiovascular diabetology2023
Microvesicle-associated and circulating microRNAs in diabetic dyslipidemia: miR-218, miR-132, miR-143, and miR-21, miR-122, miR-155 have biomarker potential.
Article in Cardiovascular diabetology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Common miRNAs, Genes, and Regulatory Pathways in Alzheimer's Disease and Type 2 Diabetes Mellitus: An Integrative Analysis of Systematic Reviews, Bioinformatics and Data Mining.Journal of neurochemistry · 2025Pooled it
- Biochemical and Molecular Markers Among Prediabetic and Type 2 Diabetes Mellitus Patients.International journal of endocrinology and metabolism · 2026Article
- Emerging RNA biomarkers for diabetes: Mechanistic insights and clinical relevance.Molecular biology reports · 2026Review
- DNMT3A/TET2-mediated epigenetic alteration in Type-1 diabetes dysregulates the haematopoiesis.Molecular biology reports · 2026Review
- Sex differences in circulating platelet-derived CD41+ extracellular vesicles in healthy adults.Physiological reports · 2026Article
- The Effect of Intravenous Administration of Alprostadil on Circulating Microvesicles in Patients with Chronic Limb-Threatening Ischemia (CLTI): A Preliminary Study.Journal of clinical medicine · 2026Article
- Extracellular Vesicle-Derived MicroRNAs as Early Diagnostic Biomarkers of Diabetic Nephropathy and Cardiovascular Diseases in Type 2 Diabetes.International journal of molecular sciences · 2026Review
- Circulating Levels of miR-155 and CTBP1-AS2 as a Promising Biomarker for Early Detection of Diabetic Nephropathy.Biochemical genetics · 2026Article
- MicroRNA Expression and Carotid Plaque Vulnerability: An Exploratory Tissue-Based Study.Journal of personalized medicine · 2026Article
- Circulating microRNAs in pulmonary arterial hypertension: biomarkers for diagnosis, prognostic stratification, and treatment.GeroScience · 2026Review
- The Future of Epigenetics: Emerging Technologies and Clinical Applications.ACS pharmacology & translational science · 2026Review
- Hemolysis Analysis and Hemolysis-related MicroRNA Candidates for Serum/Plasma Samples.Current molecular medicine · 2026Review
- Emerging Biomarkers and Nanobiosensing Strategies in Diabetes.Biosensors · 2025Review
- Involvement of miRNAs in the Cluster of Metabolic Factors of MetS: Nutrition-Genome-MetS Axis.Journal of clinical medicine · 2025Review
- Mir-509-3p targets SLC25A13 to regulate ferroptosis and protect retinal endothelial cells in diabetic retinopathy.Acta diabetologica · 2025Article
- Impact of Combined Aerobic Training and Magnesium Supplementation on Serum Biomarkers and microRNA-155 and microRNA-21 Expression in Adipose Tissue of Type 2 Diabetic Rats: An Eight-Week Interventional Study.Biological trace element research · 2025Article
- Article
- Cardiovascular risk factors and modern therapeutic strategies in children and adolescents with type 1 diabetes to prevent future diabetic angiopathy in the era of innovative miRNAs biomarkers.Frontiers in endocrinology · 2025Review
- Differential microRNA profiling of the Marshallese population in Arkansas reveals a higher association with chronic diseases.PloS one · 2025Article
- Cholesterol promotesLife science alliance · 2024Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCirculating MicroRNAs (miRNAs) carried by microvesicles (MVs) have various physiological and pathological functions by post-transcriptional regulation of gene expression being considered markers for many diseases including diabetes and dyslipidemia. We aimed to identify new common miRNAs both in MVs and plasma that could be predictive biomarkers for diabetic dyslipidemia evolution.
methodsFor this purpose, plasma from 63 participants in the study (17 type 2 diabetic patients, 17 patients with type 2 diabetes and dyslipidemia, 14 patients with dyslipidemia alone and 15 clinically healthy persons without diabetes or dyslipidemia) was used for the analysis of circulating cytokines, MVs, miRNAs and MV-associated miRNAs.
resultsThe results uncovered three miRNAs, miR-218, miR-132 and miR-143, whose expression was found to be significantly up-regulated in both circulating MVs and plasma from diabetic patients with dyslipidemia. These miRNAs showed significant correlations with important plasma markers, representative of this pathology. Thus, MV/plasma miR-218 was negatively correlated with the levels of erythrocyte MVs, plasma miR-132 was positively connected with MV miR-132 and negatively with uric acid and erythrocyte plasma levels, and plasma miR-143 was negatively related with creatinine levels and diastolic blood pressure. Also, three miRNAs common to MV and plasma, namely miR-21, miR-122, and miR-155, were identified to be down-regulated and up-regulated, respectively, in diabetic dyslipidemia. In addition, MV miR-21 was positively linked with cholesterol plasma levels and plasma miR-21 with TNFα plasma levels, MV miR-122 was negatively correlated with LDL-c levels and plasma miR-122 with creatinine and diastolic blood pressure and positively with MV miR-126 levels, MV miR-155 was positively associated with cholesterol and total MV levels and negatively with HDL-c levels, whereas plasma miR-155 was positively correlated with Il-1β plasma levels and total MV levels and negatively with MV miR-223 levels.
conclusionsIn conclusion, miR-218, miR-132, miR-143, and miR-21, miR-122, miR-155 show potential as biomarkers for diabetic dyslipidemia, but there is a need for more in-depth studies. These findings bring new information regarding the molecular biomarkers specific to diabetic dyslipidemia and could have important implications for the treatment of patients affected by this pathology.
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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 Socratic graph.