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Cited by 375

The DOI matches its Crossref record; 251 of the 251 references it cites were found in a registry or an index.

Targeting hepatic glucose metabolism in the treatment of type 2 diabetes

Open access
Rines, Amy K., Sharabi, Kfir, Tavares, Clint D. J., Puigserver, Pere·2016·Nature Reviews Drug Discovery

Abstract

Type 2 diabetes mellitus is characterized by the dysregulation of glucose homeostasis, resulting in hyperglycaemia. Although current diabetes treatments have exhibited some success in lowering blood glucose levels, their effect is not always sustained and their use may be associated with undesirable side effects, such as hypoglycaemia. Novel antidiabetic drugs, which may be used in combination with existing therapies, are therefore needed. The potential of specifically targeting the liver to normalize blood glucose levels has not been fully exploited. Here, we review the molecular mechanisms controlling hepatic gluconeogenesis and glycogen storage, and assess the prospect of therapeutically targeting associated pathways to treat type 2 diabetes.

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Crossref · 10.1038/nrd.2016.151

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Metadata

Authors
Rines, A. K., Sharabi, K., Tavares, C. D. J., & Puigserver, P.
Venue
Nature Reviews Drug Discovery
Published
2016-08-12
Volume
15
Issue
11
Pages
786-804
ISSN
  • 1474-1776 (ISSN-L)
  • 1474-1784
OpenAlex
W2509220708
Cited by
375
References
251
FWCI
2.08
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Targeting hepatic glucose metabolism in the treatment of type 2 diabetes. https://app.cochat.ai/papers/10.1038/nrd.2016.151
The paper
Rines, A. K., Sharabi, K., Tavares, C. D. J., & Puigserver, P. (2016). Targeting hepatic glucose metabolism in the treatment of type 2 diabetes. Nature Reviews Drug Discovery. https://doi.org/10.1038/nrd.2016.151

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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.