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Molecular Understanding of Hyperglycemia's Adverse Effects for Diabetic Complications

Sheetz, Matthew J.·2002·JAMA

Abstract

Diabetic complications are the major cause of morbidity and mortality in persons with diabetes. Chronic hyperglycemia is a major initiator of diabetic microvascular complications (eg, retinopathy, neuropathy, nephropathy). Glucose processing uses a variety of diverse metabolic pathways; hence, chronic hyperglycemia can induce multiple cellular changes leading to complications. Several predominant well-researched theories have been proposed to explain how hyperglycemia can produce the neural and vascular derangements that are hallmarks of diabetes. These theories can be separated into those that emphasize the toxic effects of hyperglycemia and its pathophysiological derivatives (such as oxidants, hyperosmolarity, or glycation products) on tissues directly and those that ascribe pathophysiological importance to a sustained alteration in cell signaling pathways (such as changes in phospholipids or kinases) induced by the products of glucose metabolism. This article summarizes these theories and the potential therapeutic interventions that may prevent diabetic complications in the presence of hyperglycemia, control of which is often difficult with current therapeutic options.

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Metadata

Authors
Sheetz, M. J.
Venue
JAMA
Published
2002-11-27
Volume
288
Issue
20
Pages
2579
ISSN
  • 0002-9955 (ISSN-L)
  • 0098-7484
OpenAlex
W1977879939
Cited by
1,002
References
7
FWCI
24.47
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Molecular Understanding of Hyperglycemia's Adverse Effects for Diabetic Complications. https://app.cochat.ai/papers/10.1001/jama.288.20.2579
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Sheetz, M. J. (2002). Molecular Understanding of Hyperglycemia's Adverse Effects for Diabetic Complications. JAMA. https://doi.org/10.1001/jama.288.20.2579

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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.