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Cited by 584

The DOI matches its Crossref record; 145 of the 145 references it cites were found in a registry or an index.

Advanced glycation end products: Key players in skin aging?

Open access
Gkogkolou, Paraskevi, Böhm, Markus·2012·Dermato-Endocrinology

Abstract

Aging is the progressive accumulation of damage to an organism over time leading to disease and death. Aging research has been very intensive in the last years aiming at characterizing the pathophysiology of aging and finding possibilities to fight age-related diseases. Various theories of aging have been proposed. In the last years advanced glycation end products (AGEs) have received particular attention in this context. AGEs are formed in high amounts in diabetes but also in the physiological organism during aging. They have been etiologically implicated in numerous diabetes- and age-related diseases. Strategies inhibiting AGE accumulation and signaling seem to possess a therapeutic potential in these pathologies. However, still little is known on the precise role of AGEs during skin aging. In this review the existing literature on AGEs and skin aging will be reviewed. In addition, existing and potential anti-AGE strategies that may be beneficial on skin aging will be discussed.

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Crossref · 10.4161/derm.22028

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Metadata

Authors
Gkogkolou, P., & Böhm, M.
Venue
Dermato-Endocrinology
Published
2012-07
Volume
4
Issue
3
Pages
259-270
ISSN
  • 1938-1972 (ISSN-L)
  • 1938-1980
OpenAlex
W2029388843
Cited by
584
References
145
FWCI
7.00
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Advanced glycation end products: Key players in skin aging? https://app.cochat.ai/papers/10.4161/derm.22028
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Gkogkolou, P., & Böhm, M. (2012). Advanced glycation end products: Key players in skin aging? Dermato-Endocrinology. https://doi.org/10.4161/derm.22028

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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.