ArticleBiomedical reports2021
Expression and clinical significance of miR-1 and miR-133 in pre-diabetes.
Article in Biomedical reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- miRNAs as potential biomarkers for early detection of prediabetes among obesity: a systematic review.Bioscience reports · 2025Pooled it
- MicroRNA, MicroRNA-lncRNA and MicroRNA-Circular RNA axes, and exosomal MicroRNAs: driving exercise-induced cardioprotection in heart failure.Frontiers in cell and developmental biology · 2026Review
- Isoform-Specific Transcriptomic Effects ofGenes · 2025Article
- Pilot Study on the Profiling and Functional Analysis of mRNA, miRNA, and lncRNA in the Skeletal Muscle of Mongolian Horses, Xilingol Horses, and Grassland-Thoroughbreds.Animals : an open access journal from MDPI · 2025Article
- Exploring differential miRNA expression profiles in muscular and visceral adipose tissue of patients with severe obesity.International journal of obesity (2005) · 2025Article
- The emerging role of extracellular vesicles in diabetes and complications: mechanistic insights and translational prospects.Frontiers in endocrinology · 2025Review
- Human miR-1 Stimulates Metabolic and Thermogenic-Related Genes in Adipocytes.International journal of molecular sciences · 2024Article
- Comparative effects of metformin and varying intensities of exercise on miR-133a expression in diabetic rats: Insights from machine learning analysis.Biochemistry and biophysics reports · 2024Article
- Review
- A Review of micro RNAs changes in T2DM in animals and humans.Journal of diabetes · 2023Review
- Circulating miRNA expression in long-standing type 1 diabetes mellitus.Scientific reports · 2023Article
- A comprehensive overview on Micro RNA signature in type 2 diabetes Mellitus and its complications.Indian journal of clinical biochemistry : IJCB · 2023Review
- The lncRNA Tincr Regulates the Abnormal Differentiation of Intestinal Epithelial Stem Cells in the Diabetic StateCurrent stem cell research & therapy · 2023Article
- Regulation of HIF-1 by MicroRNAs in Various Cardiovascular Diseases.Current cardiology reviews · 2023Article
- Article
- Association between metabolic disorders and seminal plasma miRNA levels: a pilot study.Basic and clinical andrology · 2022Article
- miR-378 affects metabolic disturbances in the mdx model of Duchenne muscular dystrophy.Scientific reports · 2022Article
- Type 2 Diabetes Mellitus and its comorbidity, Alzheimer's disease: Identifying critical microRNA using machine learning.Frontiers in endocrinology · 2022Article
- Regulating Polyamine Metabolism by miRNAs in Diabetic Cardiomyopathy.Current diabetes reports · 2021Review
- Ameliorating Potential of Quercetin and Curcumin on Glucose-6-Phosphate Dehydrogenase ExpressionAvicenna journal of medical biotechnologyArticle
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pre-diabetes represents an intermediate state of altered glucose metabolism between normal glucose levels and type 2 diabetes mellitus (T2D), and is considered a significant risk factor for the development of T2D and related complications. Early detection of pre-diabetes may allow for the use of timely and effective treatment strategies to prevent its progression. Circulating microRNAs (miRNAs/miRs) that reflect changes in diabetes-related tissues, including the pancreas, liver, skeletal and heart muscle, and adipose tissue are promising biomarkers of disease progression. In our previous study, it was demonstrated that the cardiac and skeletal muscle specific miR-1 and miR-133 are upregulated in the blood of patients with T2D and cardiovascular disease. Since both miRNAs have been shown to be implicated in insulin resistance, an important feature of pre-diabetes, we hypothesised that their expression may be increased prior to clinical diagnosis of T2D, and may thus serve as biomarkers for pre-diabetes. The expression levels of circulating miRNAs were evaluated by reverse transcription-quantitative PCR in whole blood samples from 55 subjects, including 28 pre-diabetes individuals with impaired fasting glucose (FG) and impaired glucose tolerance, and 27 healthy controls. The individuals with pre-diabetes exhibited significantly higher expression levels of miR-1 and miR-133 compared with the controls (P<0.05). Target prediction search revealed that both miR-1 and miR-133 target several pathways involved in the pathophysiology of diabetes. Pearson's correlation analysis revealed that the two miRNAs were positively correlated with blood glucose parameters, including FG, 2-h oral glucose tolerance test and glycated haemoglobin A1c levels, as well as with insulin resistance (P<0.05). Multivariate logistic regression analysis revealed that the two miRNAs were significantly and directly associated with pre-diabetes, and this association remained significant after adjustment for several confounding variables (P<0.05). Moreover, linear regression analysis showed that the Homeostatic Model Assessment-Insulin Resistance was the only significant predictor to be significantly associated with both miRNAs (P<0.05). In discriminating pre-diabetes individuals from healthy controls, the area under the curves (AUCs) of the receiver operating characteristic curves (ROCs) were 0.813 and 0.810 for miR-1 and miR-133 respectively (P<0.05). Despite the relatively small number of participants, the present study showed for the first time that circulating levels of miR-1 and miR-133 were increased in individuals with pre-diabetes, and they were associated with important features of pre-diabetes. Thus, they may serve as clinical biomarkers for the early-stages of T2D.
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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 Socratic graph.