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Journal ArticleDOI

Significance of serum microRNAs in pre-diabetes and newly diagnosed type 2 diabetes: a clinical study.

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TLDR
The expression levels of seven diabetes-relatedMiRNAs in serum were significantly elevated in n-T2D compared with pre-diabetes and/or s-NGT, and the latter two groups featured similar expression patterns of these miRNAs, suggesting that during the pathogenesis of T2D, the peripheral diabetes- related miRNas have not changed significantly from s- NGT at pre- diabetic stage.
Abstract
To explore the clinical significance of seven diabetes-related serum microRNAs (miR-9, miR-29a, miR-30d, miR34a, miR-124a, miR146a and miR375) during the pathogenesis of type 2 diabetes (T2D), 56 subjects were recruited to this study: 18 cases of newly diagnosed T2D (n-T2D) patients, 19 cases of pre-diabetes individuals (impaired glucose tolerance [IGT] and/or impaired fasting glucose [IFG]) and 19 cases of T2D-susceptible individuals with normal glucose tolerance (s-NGT). Serum miRNAs were determined by real-time RT-PCR. Expression levels of single miRNAs and the expression signatures of miRNAs as a panel were analysed among the three groups. In n-T2D, all 7 miRNAs were significantly up-regulated compared with s-NGT and five were significantly up-regulated compared with pre-diabetes, while miRNA expression was not significantly different between s-NGT and pre-diabetes. By Canonical discriminant analysis, 70.6% of n-T2D subjects (12/17) were recognized by canonical discriminant function, while s-NGT and pre-diabetes subjects could not be discriminated from each other. Similar results were found in Hierarchical Clustering analysis based on the expression levels of all seven miRNAs. In different statistical analysis, miR-34a always showed the most significant differences. We conclude that the expression levels of seven diabetes-related miRNAs in serum were significantly elevated in n-T2D compared with pre-diabetes and/or s-NGT, and the latter two groups featured similar expression patterns of these miRNAs, suggesting that during the pathogenesis of T2D, the peripheral diabetes-related miRNAs have not changed significantly from s-NGT at pre-diabetic stage.

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Citations
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Circulating microRNAs in sera correlate with soluble biomarkers of immune activation but do not predict mortality in ART treated individuals with HIV-1 infection : a case control study

Daniel D Murray, +1489 more
- 14 Oct 2015 - 
TL;DR: No associations with mortality were found with any circulating miRNAs studied and these results cast doubt onto the effectiveness of circulating miRNA as early predictors of mortality or the major underlying diseases that contribute to mortality in participants treated for HIV-1 infection.
Journal ArticleDOI

MicroRNAs in metabolism and metabolic disorders.

TL;DR: Dysregulation of miRNAs may contribute to metabolic abnormalities, suggesting that mi RNAs may potentially serve as therapeutic targets for ameliorating cardiometabolic disorders.
Journal ArticleDOI

Circulating microRNAs in exosomes indicate hepatocyte injury and inflammation in alcoholic, drug-induced and inflammatory liver diseases

TL;DR: The results suggest that circulating miRNAs may serve as biomarkers to differentiate between hepatocyte injury and inflammation and the exosome versus protein association of mi RNAs may provide further specificity to mechanisms of liver pathology.
Journal ArticleDOI

Circulating microRNAs as novel biomarkers for diabetes mellitus

TL;DR: In this paper, microRNAs (miRNAs) are used as biomarkers for early detection of the disease and identification of individuals at risk of developing complications, which would greatly improve the care of these patients.
Journal ArticleDOI

Extracellular miRNAs: From Biomarkers to Mediators of Physiology and Disease

TL;DR: The findings that led to these conclusions are reviewed and how this sets the stage for new lines of investigation in which extracellular miRNAs are recognized as important mediators of intercellular communication and potential candidates for therapy of disease.
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Journal ArticleDOI

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Journal ArticleDOI

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TL;DR: An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data is as discussed by the authors, covering both classical and Bayesian philosophies, before advancing to the analysis of linear and generalized linear models Topics covered include linear and logistic regression, simple and complex ANOVA models (for factorial, nested, block, split-plot and repeated measures and covariance designs), and log-linear models Multivariate techniques, including classification and ordination, are then introduced.
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