The DOI matches its Crossref record.
Effect of Collagen Turnover on the Accumulation of Advanced Glycation End Products
Open accessAbstract
Collagen molecules in articular cartilage have an exceptionally long lifetime, which makes them susceptible to the accumulation of advanced glycation end products (AGEs). In fact, in comparison to other collagen-rich tissues, articular cartilage contains relatively high amounts of the AGE pentosidine. To test the hypothesis that this higher AGE accumulation is primarily the result of the slow turnover of cartilage collagen, AGE levels in cartilage and skin collagen were compared with the degree of racemization of aspartic acid (% d-Asp, a measure of the residence time of a protein). AGE (N(epsilon)-(carboxymethyl)lysine, N(epsilon)-(carboxyethyl)lysine, and pentosidine) and % d-Asp concentrations increased linearly with age in both cartilage and skin collagen (p < 0.0001). The rate of increase in AGEs was greater in cartilage collagen than in skin collagen (p < 0.0001). % d-Asp was also higher in cartilage collagen than in skin collagen (p < 0.0001), indicating that cartilage collagen has a longer residence time in the tissue, and thus a slower turnover, than skin collagen. In both types of collagen, AGE concentrations increased linearly with % d-Asp (p < 0.0005). Interestingly, the slopes of the curves of AGEs versus % d-Asp, i.e. the rates of accumulation of AGEs corrected for turnover, were identical for cartilage and skin collagen. The present study thus provides the first experimental evidence that protein turnover is a major determinant in AGE accumulation in different collagen types. From the age-related increases in % d-Asp the half-life of cartilage collagen was calculated to be 117 years and that of skin collagen 15 years, thereby providing the first reasonable estimates of the half-lives of these collagens.
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
Mechanisms, Pathophysiology, and Therapy of Arterial Stiffness
Zieman, S. J., Melenovsky, V., & Kass, D. A. (2005) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/01.atv.0000160548.78317.29 · Cited by 1,854
Cox, T. R., & Erler, J. T. (2011) · Disease Models & Mechanisms · doi:10.1242/dmm.004077 · Cited by 1,569
Goldring, M. B., & Goldring, S. R. (2007) · Journal of Cellular Physiology · doi:10.1002/jcp.21258 · Cited by 1,179
Protein oxidation and peroxidation
Davies, M. J. (2016) · Biochemical Journal · doi:10.1042/bj20151227 · Cited by 952
The myofibroblast matrix: implications for tissue repair and fibrosis
Klingberg, F., Hinz, B., & White, E. S. (2013) · The Journal of Pathology · doi:10.1002/path.4104 · Cited by 776
Metadata
- Authors
- Verzijl, N., DeGroot, J., Thorpe, S. R., Bank, R. A., Shaw, J. N., Lyons, T. J., Bijlsma, J. W. J., Lafeber, F. P. J. G., Baynes, J. W., & TeKoppele, J. M.
- Venue
- Journal of Biological Chemistry
- Publisher
- Elsevier BV
- Published
- 2000-12
- Volume
- 275
- Issue
- 50
- Pages
- 39027-39031
- ISSN
- 0021-9258 (ISSN-L)
- OpenAlex
- W2054221638
- Cited by
- 963
- References
- 0
- FWCI
- 7.51
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Effect of Collagen Turnover on the Accumulation of Advanced Glycation End Products. https://app.cochat.ai/papers/10.1074/jbc.m006700200
- The paper
- Verzijl, N., DeGroot, J., Thorpe, S. R., Bank, R. A., Shaw, J. N., Lyons, T. J., Bijlsma, J. W. J., Lafeber, F. P. J. G., Baynes, J. W., & TeKoppele, J. M. (2000). Effect of Collagen Turnover on the Accumulation of Advanced Glycation End Products. Journal of Biological Chemistry. https://doi.org/10.1074/jbc.m006700200
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.