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Cited by 167

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Hypothesis: the ‘metabolic memory’, the new challenge of diabetes

Ihnat, M. A., Thorpe, J. E., Ceriello, A.·2007·Diabetic Medicine

Abstract

Large randomized studies have established that early intensive glycaemic control reduces the risk of diabetic complications, both micro‐ and macrovascular. However, epidemiological and prospective data support a long‐term influence of early metabolic control on clinical outcomes. This phenomenon has recently been defined as ‘metabolic memory.’ Potential mechanisms for propagating this ‘memory’ are the non‐enzymatic glycation of cellular proteins and lipids, and an excess of cellular reactive oxygen and nitrogen species, in particular originated at the level of glycated‐mitochondrial proteins, perhaps acting in concert with one another to maintain stress signalling. Furthermore, the emergence of this ‘metabolic memory’ suggests the need for very early aggressive treatment aiming to ‘normalize’ glycaemic control and the addition of agents which reduce cellular reactive species and glycation in order to minimize long‐term diabetic complications.

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Crossref · 10.1111/j.1464-5491.2007.02138.x

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Metadata

Authors
Ihnat, M. A., Thorpe, J. E., & Ceriello, A.
Venue
Diabetic Medicine
Publisher
Wiley
Published
2007-05-08
Volume
24
Issue
6
Pages
582-586
ISSN
  • 0742-3071 (ISSN-L)
  • 1464-5491
OpenAlex
W2133452908
Cited by
167
References
14
FWCI
8.21
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Hypothesis: the ‘metabolic memory’, the new challenge of diabetes. https://app.cochat.ai/papers/10.1111/j.1464-5491.2007.02138.x
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Ihnat, M. A., Thorpe, J. E., & Ceriello, A. (2007). Hypothesis: the ‘metabolic memory’, the new challenge of diabetes. Diabetic Medicine. https://doi.org/10.1111/j.1464-5491.2007.02138.x

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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.