The DOI matches its Crossref record; 243 of the 243 references it cites were found in a registry or an index.
Advanced Glycation End-Products (AGEs): Formation, Chemistry, Classification, Receptors, and Diseases Related to AGEs
Open accessAbstract
Advanced glycation end-products (AGEs) constitute a non-homogenous, chemically diverse group of compounds formed either exogeneously or endogeneously on the course of various pathways in the human body. In general, they are formed non-enzymatically by condensation between carbonyl groups of reducing sugars and free amine groups of nucleic acids, proteins, or lipids, followed by further rearrangements yielding stable, irreversible end-products. In the last decades, AGEs have aroused the interest of the scientific community due to the increasing evidence of their involvement in many pathophysiological processes and diseases, such as diabetes, cancer, cardiovascular, neurodegenerative diseases, and even infection with the SARS-CoV-2 virus. They are recognized by several cellular receptors and trigger many signaling pathways related to inflammation and oxidative stress. Despite many experimental research outcomes published recently, the complexity of their engagement in human physiology and pathophysiological states requires further elucidation. This review focuses on the receptors of AGEs, especially on the structural aspects of receptor–ligand interaction, and the diseases in which AGEs are involved. It also aims to present AGE classification in subgroups and to describe the basic processes leading to both exogeneous and endogeneous AGE formation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A standardised static in vitro digestion method suitable for food – an international consensus
Minekus, M., Alminger, M., Alvito, P., Ballance, S., Bohn, T., Bourlieu, C., Carrière, F., Boutrou, R., Corredig, M., Dupont, D., et al. (2014) · Food Funct. · doi:10.1039/c3fo60702j · Cited by 5,824
INFOGEST static in vitro simulation of gastrointestinal food digestion
Brodkorb, A., Egger, L., Alminger, M., Alvito, P., Assunção, R., Ballance, S., Bohn, T., Bourlieu-Lacanal, C., Boutrou, R., Carrière, F., et al. (2019) · Nature Protocols · doi:10.1038/s41596-018-0119-1 · Cited by 5,199
Gupta, A., & Uribarri, J. (2016) · Hormone Research in Paediatrics · doi:10.1159/000444053 · Cited by 4,006
Inflammation and cancer: triggers, mechanisms, and consequences
Greten, F. R., & Grivennikov, S. I. (2019) · Immunity · doi:10.1016/j.immuni.2019.06.025 · Cited by 3,806
Advanced glycation end-products: A review
Singh, R., Barden, A., Mori, T., & Beilin, L. (2001) · Diabetologia · doi:10.1007/s001250051591 · Cited by 2,597
Advanced Glycation End Products: Sparking the Development of Diabetic Vascular Injury
Goldin, A., Beckman, J. A., Schmidt, A. M., & Creager, M. A. (2006) · Circulation · doi:10.1161/circulationaha.106.621854 · Cited by 2,261
Neeper, M., Schmidt, A. M., Brett, J., Yan, S. D., Wang, F., Pan, Y. C., Elliston, K., Stern, D., & Shaw, A. (1992) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)42138-2 · Cited by 1,541
RAGE mediates amyloid-β peptide transport across the blood-brain barrier and accumulation in brain
Deane, R., Du Yan, S., Submamaryan, R. K., LaRue, B., Jovanovic, S., Hogg, E., Welch, D., Manness, L., Lin, C., Yu, J., et al. (2003) · Nature Medicine · doi:10.1038/nm890 · Cited by 1,426
An endothelial receptor for oxidized low-density lipoprotein
Sawamura, T., Kume, N., Aoyama, T., Moriwaki, H., Hoshikawa, H., Aiba, Y., Tanaka, T., Miwa, S., Katsura, Y., Kita, T., et al. (1997) · Nature · doi:10.1038/386073a0 · Cited by 1,385
Singh, N., Baby, D., Rajguru, J., Patil, P., Thakkannavar, S., & Pujari, V. (2019) · Annals of African Medicine · doi:10.4103/aam.aam_56_18 · Cited by 1,333
Cited by
Oxidative Stress in Type 2 Diabetes: Impacts from Pathogenesis to Lifestyle Modifications
Caturano, A., D’Angelo, M., Mormone, A., Russo, V., Mollica, M. P., Salvatore, T., Galiero, R., Rinaldi, L., Vetrano, E., Marfella, R., et al. (2023) · Current Issues in Molecular Biology · doi:10.3390/cimb45080420 · Cited by 579
Inflammation and nutrition: friend or foe?
Stumpf, F., Keller, B., Gressies, C., & Schuetz, P. (2023) · Nutrients · doi:10.3390/nu15051159 · Cited by 213
Hong, B., Bea, S., Ko, H. Y., Kim, W. J., Cho, Y. M., & Shin, J.-Y. (2024) · Annals of Internal Medicine · doi:10.7326/m23-3220 · Cited by 33
Flores-López, L. A., De la Mora-De la Mora, I., Malagón-Reyes, C. M., García-Torres, I., Martínez-Pérez, Y., López-Herrera, G., Hernández-Alcántara, G., León-Avila, G., López-Velázquez, G., Olaya-Vargas, A., et al. (2024) · Biomolecules · doi:10.3390/biom14101295 · Cited by 6
Proteomic Profiling of Plasma- and Gut-Derived Extracellular Vesicles in Obesity
Baptista Pereira, P., Torrejón, E., Ferreira, I., Carvalho, A. S., Teshima, A., Sousa-Lima, I., Beck, H. C., Costa-Silva, B., Matthiesen, R., Macedo, M. P., et al. (2024) · Nutrients · doi:10.3390/nu16050736 · Cited by 6
Metadata
- Authors
- Twarda-Clapa, A., Olczak, A., Białkowska, A. M., & Koziołkiewicz, M.
- Venue
- Cells
- Publisher
- MDPI AG
- Published
- 2022-04-12
- Volume
- 11
- Issue
- 8
- Pages
- 1312
- ISSN
- 2073-4409 (ISSN-L)
- OpenAlex
- W4223542076
- Cited by
- 746
- References
- 243
- FWCI
- 73.29
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Advanced Glycation End-Products (AGEs): Formation, Chemistry, Classification, Receptors, and Diseases Related to AGEs. https://app.cochat.ai/papers/10.3390/cells11081312
- The paper
- Twarda-Clapa, A., Olczak, A., Białkowska, A. M., & Koziołkiewicz, M. (2022). Advanced Glycation End-Products (AGEs): Formation, Chemistry, Classification, Receptors, and Diseases Related to AGEs. Cells. https://doi.org/10.3390/cells11081312
Data sources
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.