ArticleMolecular biology reports2018
Increased expression of microRNAs, miR-20a and miR-326 in PBMCs of patients with type 1 diabetes.
Article in Molecular biology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- Non-coding RNAs underlying the pathophysiological links between type 2 diabetes and pancreatic cancer: A systematic review.Journal of diabetes investigation · 2022Pooled it
- From In Silico to Clinic: Harnessing Noncoding RNAs for Diabetes Research and Therapy, a Step toward ncRNA Precision.ACS pharmacology & translational science · 2026Review
- miR-326 serves as a diagnostic biomarker in gestational diabetes mellitus and its regulatory effect on trophoblast cell viability.Irish journal of medical science · 2025Article
- Altered Expression of Vitamin D Metabolism Genes and Circulating MicroRNAs in PBMCs of Patients with Type 1 Diabetes: Their Association with Vitamin D Status and Ongoing Islet Autoimmunity.Non-coding RNA · 2023Article
- Holistic expression of miR-17-92 cluster in obesity, kidney diseases, cardiovascular diseases, and diabetes.Molecular biology reports · 2023Review
- The let-7b-5p, miR-326, and miR-125a-3p are associated with left ventricular systolic dysfunction in post-myocardial infarction.Frontiers in cardiovascular medicine · 2023Article
- The construction and analysis of ceRNA network and patterns of immune infiltration in lung adenocarcinoma.BMC cancer · 2021Article
- Elucidate multidimensionality of type 1 diabetes mellitus heterogeneity by multifaceted information.Scientific reports · 2021Article
- A Review of miR-326 and Female Related Diseases.Acta histochemica et cytochemica · 2021Review
- Understanding Competitive Endogenous RNA Network Mechanism in Type 1 Diabetes Mellitus Using Computational and Bioinformatics Approaches.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021Article
- NMR-based metabolomics characterizes metabolic changes in different brain regions of streptozotocin-induced diabetic mice with cognitive decline.Metabolic brain disease · 2020Article
- miRNA-Mediated Immune Regulation in Islet Autoimmunity and Type 1 Diabetes.Frontiers in endocrinology · 2020Review
- Identification of a Multi-Long Noncoding RNA Signature for the Diagnosis of Type 1 Diabetes Mellitus.Frontiers in bioengineering and biotechnology · 2020Article
- MicroRNA-17-92 Regulates Beta-Cell Restoration After Streptozotocin Treatment.Frontiers in endocrinology · 2020Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Type 1 diabetes (T1D) is an autoimmune disorder which is characterized by autoimmune attack on β cells of pancreas and lack of insulin. The involvement of microRNAs (miRNAs) in the development of immune system and their differential expression in various autoimmune diseases including T1D have been well established. In this study, the association between expression levels of miR-20a, miR-326 and T1D were evaluated. The expression levels of miR-20a and miR-326 were measured in the PBMCs of 21 T1D patients and 16 healthy controls using qPCR method. In silico analysis was also performed on targetome of miR-20a and miR-326. Both miR-20a (p value: 0.015) and miR-326 (p value: 0.005) were upregulated in the PBMCs of T1D patients compared to healthy controls. Furthermore, different dysregulated miR326-mRNA and miR20a-mRNA interactions were also suggested using integrative computational analysis. The expression level of miR-20a and miR-326 indicates significant association with T1D which suggests the possible regulatory effects of these non-coding RNAs in T1D.
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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 OpenQuestion graph.