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Cited by 12

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

Diabetes Mellitus Reveals Its Micro-Signature

Regazzi, Romano·2010·Circulation Research

Abstract

With 285 millions individuals affected worldwide in2010 and more than 400 millions expected in 2030, diabetes mellitus is a major public health concern and a huge economic burden. This disease, characterized by chronic elevation of blood glucose levels, is frequently associated with micro- and macrovascular complications, putting dia-betic patients at risk for heart and renal failure, stroke, lower limb amputations, and blindness.1 In view of the dramatic impact of diabetes on public health, the definition of new methods predicting the manifestation of the disease and the occurrence of its debilitating complications deserves the highest priority. In this issue of Circulation Research, Zam-petaki et al report that a group of circulating RNA molecules belonging to the microRNA family is considerably less abundant in the blood of diabetes patients compared to normoglycemic individuals.2 Interestingly, a reduction in the

Overview

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Registry

Crossref · 10.1161/circresaha.110.228841

Cites

22 of 22 references verified0 citation errors · 0 not checkable

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Citations

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Metadata

Authors
Regazzi, R.
Affiliations
From the Department of Cell Biology and Morphology, University of Lausanne, Switzerland.
Venue
Circulation Research
Published
2010-09-17
Volume
107
Issue
6
Pages
686-688
ISSN
  • 0009-7330
  • 1524-4571
Cited by
12
References
22
Language
en

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This page
CoChat. (2026). Citation check: Diabetes Mellitus Reveals Its Micro-Signature. https://app.cochat.ai/papers/10.1161/circresaha.110.228841
The paper
Regazzi, R. (2010). Diabetes Mellitus Reveals Its Micro-Signature. Circulation Research. https://doi.org/10.1161/circresaha.110.228841

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.