ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2020
Circulating miR-15a and miR-222 as Potential Biomarkers of Type 2 Diabetes.
Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 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
- Maternal probiotic and prebiotic supplementation on glucose metabolism in pregnant women and their offspring: effects and related mechanisms.Frontiers in microbiology · 2026Review
- Wide-spectrum profiling of plasma cell-free RNA and the potential for health-monitoring.RNA biology · 2025Article
- MicroRNA-15a-5p mediates abdominal aortic aneurysm progression and serves as a potential diagnostic and prognostic circulating biomarker.Communications medicine · 2025Article
- Obesity and Adipose-Derived Extracellular Vesicles: Implications for Metabolic Regulation and Disease.Biomolecules · 2025Review
- "Hyperglycemic Memory": Observational Evidence to Experimental Inference.Current diabetes reviews · 2025Review
- Exosomal miRNAs and isomiRs: potential biomarkers for type 2 diabetes mellitus.Precision clinical medicine · 2024Review
- Identification of MicroRNAs Associated with Prediabetic Status in Obese Women.International journal of molecular sciences · 2023Article
- Research progress of exosomes in pathogenesis, diagnosis, and treatment of ocular diseases.Frontiers in bioengineering and biotechnology · 2023Review
- MicroRNAs as Biomarkers for Coronary Artery Disease Related to Type 2 Diabetes Mellitus-From Pathogenesis to Potential Clinical Application.International journal of molecular sciences · 2022Review
- Adipose and Plasma microRNAs miR-221 and 222 Associate with Obesity, Insulin Resistance, and New Onset Diabetes after Peritoneal Dialysis.Nutrients · 2022Article
- Correlation study on serum miR-222-3p and glucose and lipid metabolism in patients with polycystic ovary syndrome.BMC women's health · 2022Article
- Review
- Circulating microRNAs as predictive biomarkers of coronary artery diseases in type 2 diabetes patients.Journal of clinical laboratory analysis · 2022Review
- Evaluation of circulating microRNA profiles in Brazilian women with polycystic ovary syndrome: A preliminary study.PloS one · 2022Article
- Potential Relationship between the Changes in Circulating microRNAs and the Improvement in Glycaemic Control Induced by Grape Pomace Supplementation.Foods (Basel, Switzerland) · 2021Article
- Circulating microRNAs Signature for Predicting Response to GLP1-RA Therapy in Type 2 Diabetic Patients: A Pilot Study.International journal of molecular sciences · 2021Article
- A Comprehensive miRNome Analysis of Macrophages Isolated from db/db Mice and Selected miRNAs Involved in Metabolic Syndrome-Associated Cardiac Remodeling.International journal of molecular sciences · 2021Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn recent years, considerable attention has been paid to the role of microRNAs (miRs) as biomarkers in type 2 diabetes (T2D). The aim of the study was to evaluate the expression levels of miR-15a and miR-222 in diabetic, pre-diabetic, and healthy individuals. MATERIALS AND
methodsNinety individuals, who were referred to the Yazd diabetic center, were enrolled in this study and then classified into three groups as healthy, pre-T2D, and diabetic based on the clinical manifestations. Real-time PCR was performed to explore miRs expression in the plasma samples of the studied population. The correlation between the biochemical characteristic and the expression of these miRs as well as specificity and sensitivity of different clinical markers in healthy and pre-diabetic groups was evaluated.
resultsmiR-222 expression was significantly upregulated in the pre-T2D cases compared to the control subjects (P<0.001), while no significant difference was found between the pre-T2D and T2D groups (P<0.05). The expression of miR-15a was statistically downregulated in the pre-T2D and T2D subjects (P<0.05). The receiver operating characteristic (ROC) curve analysis of miR-15a expression with a cutoff point of 1.12 resulted in the area under the curve (AUC) of 85% (95% CI 0.865-0.912; P<0.001) with 84% and 85% sensitivity and specificity, respectively. Similarly, for miR-222, the cutoff point of 4.03 and AUC of 86% (95% CI 0.875-0.943; P<0.001) discriminated against the pre-T2D and control subjects via the sensitivity and specificity of 86% and 87%, respectively. Moreover, miR-15a values showed a negative correlation with FG (R=-0.32, P=0.005); however, miR-222 values were positively correlated with FG (R=0.25, P=0.03) in the pre-T2D group. Furthermore, miR-222 values were correlated with OGTT in the pre-T2D group (R=0.27, P=0.001). In addition, LDL-C had a negative correlation with miR-222 values in the pre-T2D group (R=-0.23, P=0.02).
conclusionThis study indicated that the plasma expression levels of miR-222 and miR-15a can be considered as non-invasive, fast tools to separate the pre-T2D individuals from their healthy counterparts. Accordingly, this information could be used to predict the development of the disease as well as a direction for optimal therapy, thus refining outcomes in patients with diabetes.
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