The DOI matches its Crossref record.
Accumulation of Maillard reaction products in skin collagen in diabetes and aging.
Open accessAbstract
To investigate the contribution of glycation and oxidation reactions to the modification of insoluble collagen in aging and diabetes, Maillard reaction products were measured in skin collagen from 39 type 1 diabetic patients and 52 nondiabetic control subjects. Compounds studied included fructoselysine (FL), the initial glycation product, and the glycoxidation products, N epsilon-(carboxymethyl) lysine (CML) and pentosidine, formed during later Maillard reactions. Collagen-linked fluorescence was also studied. In nondiabetic subjects, glycation of collagen (FL content) increased only 33% between 20 and 85 yr of age. In contrast, CML, pentosidine and fluorescence increased five-fold, correlating strongly with age. In diabetic patients, collagen FL was increased threefold compared with nondiabetic subjects, correlating strongly with glycated hemoglobin but not with age. Collagen CML, pentosidine and fluorescence were increased up to twofold in diabetic compared with control patients: this could be explained by the increase in glycation alone, without invoking increased oxidative stress. There were strong correlations among CML, pentosidine and fluorescence in both groups, providing evidence for age-dependent chemical modification of collagen via the Maillard reaction, and acceleration of this process in diabetes. These results support the description of diabetes as a disease characterized by accelerated chemical aging of long-lived tissue proteins.
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
Cited by
Role of oxidative stress in diabetic complications: a new perspective on an old paradigm.
Baynes, J. W., & Thorpe, S. R. (1999) · Diabetes · doi:10.2337/diabetes.48.1.1 · Cited by 2,441
Self-citationAdvanced 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
Role of advanced glycation end products in cellular signaling
Ott, C., Jacobs, K., Haucke, E., Navarrete Santos, A., Grune, T., & Simm, A. (2014) · Redox Biology · doi:10.1016/j.redox.2013.12.016 · Cited by 1,150
Schleicher, E. D., Wagner, E., & Nerlich, A. G. (1997) · Journal of Clinical Investigation · doi:10.1172/jci119180 · Cited by 714
Protein Oxidation in Aging and Age‐Related Diseases
Stadtman, E. R. (2001) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2001.tb05632.x · Cited by 660
Monnier, V. M., Bautista, O., Kenny, D., Sell, D. R., Fogarty, J., Dahms, W., Cleary, P. A., Lachin, J., & Genuth, S. (1999) · Diabetes · doi:10.2337/diabetes.48.4.870 · Cited by 469
Horie, K., Miyata, T., Maeda, K., Miyata, S., Sugiyama, S., Sakai, H., van Ypersole de Strihou, C., Monnier, V. M., Witztum, J. L., & Kurokawa, K. (1997) · Journal of Clinical Investigation · doi:10.1172/jci119853 · Cited by 433
Vlassara, H., Li, Y. M., Imani, F., Wojciechowicz, D., Yang, Z., Liu, F.-T., & Cerami, A. (1995) · Molecular Medicine · doi:10.1007/bf03401604 · Cited by 421
Wondrak, G. T., Jacobson, M. K., & Jacobson, E. L. (2006) · Photochemical & Photobiological Sciences · doi:10.1039/b504573h · Cited by 411
Effect of Estrogen on Musculoskeletal Performance and Injury Risk
Chidi-Ogbolu, N., & Baar, K. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2018.01834 · Cited by 389
Mossad, O., Batut, B., Yilmaz, B., Dokalis, N., Mezö, C., Nent, E., Nabavi, L. S., Mayer, M., Maron, F. J. M., Buescher, J. M., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01027-3 · Cited by 241
Renal catabolism of advanced glycation end products: the fate of pentosidine
Miyata, T., Ueda, Y., Horie, K., Nangaku, M., Tanaka, S., de Strihou, C. V. Y., & Kurokawa, K. (1998) · Kidney International · doi:10.1046/j.1523-1755.1998.00756.x · Cited by 227
Adverse effects of dietary glycotoxins on wound healing in genetically diabetic mice
Peppa, M., Brem, H., Ehrlich, P., Zhang, J.-G., Cai, W., Li, Z., Croitoru, A., Thung, S., & Vlassara, H. (2003) · Diabetes · doi:10.2337/diabetes.52.11.2805 · Cited by 153
Accelerated osteocyte senescence and skeletal fragility in mice with type 2 diabetes
Eckhardt, B. A., Rowsey, J. L., Thicke, B. S., Fraser, D. G., O’Grady, K. L., Bondar, O. P., Hines, J. M., Singh, R. J., Thoreson, A. R., Rakshit, K., et al. (2020) · JCI Insight · doi:10.1172/jci.insight.135236 · Cited by 130
Horie, K., Miyata, T., Yasuda, T., Takeda, A., Yasuda, Y., Maeda, K., Sobue, G., & Kurokawa, K. (1997) · Biochemical and Biophysical Research Communications · doi:10.1006/bbrc.1997.6944 · Cited by 137
NF‐κB as the mediator of metformin's effect on ageing and ageing‐related diseases
Kanigur Sultuybek, G., Soydas, T., & Yenmis, G. (2019) · Clinical and Experimental Pharmacology and Physiology · doi:10.1111/1440-1681.13073 · Cited by 119
Age-Related Oxidative Stress Compromises Endosomal Proteostasis
Cannizzo, E. S., Clement, C. C., Morozova, K., Valdor, R., Kaushik, S., Almeida, L. N., Follo, C., Sahu, R., Cuervo, A. M., Macian, F., et al. (2012) · Cell Reports · doi:10.1016/j.celrep.2012.06.005 · Cited by 95
Kidney, heart and brain: three organs targeted by ageing and glycation
Frimat, M., Daroux, M., Litke, R., Nevière, R., Tessier, F. J., & Boulanger, E. (2017) · Clinical Science · doi:10.1042/cs20160823 · Cited by 88
Wondrak, G. T., Roberts, M. J., Jacobson, M. K., & Jacobson, E. L. (2004) · Journal of Biological Chemistry · doi:10.1074/jbc.m404379200 · Cited by 77
Metaflammation: Tissue-Specific Alterations of the NLRP3 Inflammasome Platform in Metabolic Syndrome
Mastrocola, R., Aragno, M., Alloatti, G., Collino, M., Penna, C., & Pagliaro, P. (2018) · Current Medicinal Chemistry · doi:10.2174/0929867324666170407123522 · Cited by 76
Ueno, H., Koyama, H., Shoji, T., Monden, M., Fukumoto, S., Tanaka, S., Otsuka, Y., Mima, Y., Morioka, T., Mori, K., et al. (2010) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2010.04.006 · Cited by 65
Rolewska, P., Al-Robaiy, S., Navarrete Santos, A., Simm, A., Silber, R.-E., & Bartling, B. (2013) · Experimental Gerontology · doi:10.1016/j.exger.2012.04.012 · Cited by 25
Metadata
- Authors
- Dyer, D. G., Dunn, J. A., Thorpe, S. R., Bailie, K. E., Lyons, T. J., McCance, D. R., & Baynes, J. W.
- Venue
- Journal of Clinical Investigation
- Published
- 1993-06-01
- Volume
- 91
- Issue
- 6
- Pages
- 2463-2469
- ISSN
- 0021-9738 (ISSN-L)
- OpenAlex
- W3024383408
- Cited by
- 769
- References
- 0
- FWCI
- 7.33
- Type
- journal article
- Language
- en
- Open access
- bronze
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
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.
