Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 213

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

MicroRNAs in β-Cell Biology, Insulin Resistance, Diabetes and Its Complications

Open access
Fernandez-Valverde, Selene L., Taft, Ryan J., Mattick, John S.·2011·Diabetes

Abstract

MicroRNAs (miRNAs) are small 19–23 nucleotide RNA molecules that act as regulators of protein expression in eukaryotic cells by inducing the translational arrest and degradation of messenger RNAs (1). They are potent drivers of differentiation and development (1), and their dysregulation has been linked to many diseases. Here, we present an overview of the known and proposed roles and effects of miRNAs in type 1 and type 2 diabetes (T1D and T2D), focusing on β-cell biology, insulin resistance, and diabetes complications. Specifically, we discuss miRNAs in β-cell biology, altered expression of miRNAs in adipose tissue in response to obesity, and miRNA dysfunction in organs and tissues that may be affected in later stages of the disease. Additionally, we propose a set of research directions that may yield novel diagnostic and therapeutic approaches for this chronic illness. T2D is characterized by hyperglycemia resultant from impaired insulin secretion and/or impaired insulin action in peripheral tissues (2). T2D constitutes one of the greatest pandemics of our time, with 220 million people currently diagnosed (3), and 366 million people expected to be affected by 2030 (4). A number of lines of evidence support a key role for pancreatic β-cell dysfunction in T2D (in addition to T1D), in which it is the major pathology. For example, recent genome-wide association studies have strongly implicated genes involved in insulin secretion as etiological factors in the development of T2D (5). A role for miRNAs in T2D was first established in 2004 by Poy et al. (6) who showed that miR-375 is directly involved in the regulation of insulin secretion. This study was one of the first to demonstrate that a miRNA could be tightly linked to a disease phenotype. In recent years, dozens of additional miRNAs have been identified as components of pathways triggered by, or contributing …

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2337/db11-0171

Cites

17 of 17 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 17 references

Cited by

See all 213

Metadata

Authors
Fernandez-Valverde, S. L., Taft, R. J., & Mattick, J. S.
Venue
Diabetes
Published
2011-06-20
Volume
60
Issue
7
Pages
1825-1831
ISSN
  • 0012-1797 (ISSN-L)
  • 1939-327X
OpenAlex
W2143166200
Cited by
213
References
17
FWCI
6.38
Type
journal article
Language
en
Open access
hybrid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: MicroRNAs in β-Cell Biology, Insulin Resistance, Diabetes and Its Complications. https://app.cochat.ai/papers/10.2337/db11-0171
The paper
Fernandez-Valverde, S. L., Taft, R. J., & Mattick, J. S. (2011). MicroRNAs in β-Cell Biology, Insulin Resistance, Diabetes and Its Complications. Diabetes. https://doi.org/10.2337/db11-0171

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.