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Cited by 289

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Diabetes Complications: The MicroRNA Perspective

Open access
Kantharidis, Phillip, Wang, Bo, Carew, Rosemarie M., Lan, Hui Yao·2011·Diabetes

Abstract

There remains a critical need to better understandthe underlying disease mechanisms responsiblefor diabetes complications in order to developnew and improved therapeutic strategies for these chronic conditions. These complications are broadly classified as microvascular, including neuropathy, nephrop-athy, and retinopathy, or macrovascular, including car-diovascular and peripheral vascular disease. The risk for developing complications is influenced by many factors including duration of diabetes and genetic factors. Current treatments have resulted in only a partial reduction in this risk, and the management of these conditions remains a major unmet need for those with diabetes. New insights have come from an unlikely ally, the worm C. elegans, in which research has identified a novel family of endoge-nous, small (;22 nucleotides), single stranded, noncoding RNA molecules known as microRNAs (miRNAs) as de-velopmental regulators (1,2). These molecules, only iden-

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Crossref · 10.2337/db11-0082

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Metadata

Authors
Kantharidis, P., Wang, B., Carew, R. M., & Lan, H. Y.
Venue
Diabetes
Published
2011-06-20
Volume
60
Issue
7
Pages
1832-1837
ISSN
  • 0012-1797 (ISSN-L)
  • 1939-327X
OpenAlex
W2111188992
Cited by
289
References
8
FWCI
7.65
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Diabetes Complications: The MicroRNA Perspective. https://app.cochat.ai/papers/10.2337/db11-0082
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Kantharidis, P., Wang, B., Carew, R. M., & Lan, H. Y. (2011). Diabetes Complications: The MicroRNA Perspective. Diabetes. https://doi.org/10.2337/db11-0082

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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.