Evidence map›Paper›PMID 31797985›Full record

ArticleScientific reports2019

Carbamylation and glycation compete for collagen molecular aging in vivo.

Camille Nicolas, Stéphane Jaisson, Laëtitia Gorisse, Frédéric J Tessier, Céline Niquet-Léridon, Philippe Jacolot, Christine Pietrement, Philippe Gillery

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
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  3. Carotid arteries in cerebral small vessel disease and dementia.Acta neuropathologica communications · 2026
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  12. Mechanisms of assembly and remodelling of the extracellular matrix.Nature reviews. Molecular cell biology · 2024
    Review
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  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Arrow of Time, Entropy, and Protein Folding: Holistic View on Biochirality.International journal of molecular sciences · 2022
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Camille NicolasUniversity of Reims Champagne-Ardenne, Laboratory of Biochemistry and Molecular Biology, CNRS/URCA UMR N° 7369 MEDyC, Reims, France.
Stéphane JaissonUniversity of Reims Champagne-Ardenne, Laboratory of Biochemistry and Molecular Biology, CNRS/URCA UMR N° 7369 MEDyC, Reims, France.
Laëtitia GorisseUniversity of Reims Champagne-Ardenne, Laboratory of Biochemistry and Molecular Biology, CNRS/URCA UMR N° 7369 MEDyC, Reims, France.
Frédéric J TessierUniversity of Lille, CHU Lille, Inserm U995 - LIRIC - Lille Inflammation Research International Center, Lille, France.ORCID http://orcid.org/0000-0001-8096-5715
Céline Niquet-LéridonInstitut Polytechnique UniLaSalle, "Transformations & Agro-ressources" Unit, Beauvais, France.
Philippe JacolotInstitut Polytechnique UniLaSalle, "Transformations & Agro-ressources" Unit, Beauvais, France.
Christine PietrementUniversity of Reims Champagne-Ardenne, Laboratory of Biochemistry and Molecular Biology, CNRS/URCA UMR N° 7369 MEDyC, Reims, France.
Philippe GilleryUniversity of Reims Champagne-Ardenne, Laboratory of Biochemistry and Molecular Biology, CNRS/URCA UMR N° 7369 MEDyC, Reims, France. pgillery@chu-reims.fr.
Centre National de la Recherche Scientifique · FRUnité Matériaux et Transformations · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tissue aging is a complex phenomenon involving molecular aging of matrix proteins, which mainly results from their progressive alteration by nonenzymatic post-translational modifications (NEPTMs) such as glycation and carbamylation. These two reactions, which correspond to the binding of reactive metabolites (i.e. reducing sugars and urea-derived cyanate, respectively) on amino groups of proteins, occur during aging and are amplified in various chronic diseases such as diabetes mellitus or chronic renal disease (CKD). Since these reactions target the same functional groups, they can reciprocally compete for protein modification. Determining which NEPTM is predominant in tissues is necessary to better understand their role in the development of long-term complications of chronic diseases. For that purpose, two different murine models were used for reproducing such a competitive context: a CKD-diabetic mice model and a cyanate-consuming mice model. The competition has been evaluated by quantifying glycation and carbamylation products by LC-MS/MS in skin and aorta total extracts as well as in skin type I collagen. The results showed that the simultaneous enhancement of glycation and carbamylation reactions resulted in a decrease of the formation of glycation products (especially Amadori products) whereas the concentrations of homocitrulline, a carbamylation product, remained similar. These results, which have been obtained in both tissues and in purified skin type I collagen, suggest that carbamylation takes precedence over glycation for the modification of tissue proteins, but only in pathological conditions favouring these two NEPTMs. While glycation has been considered for a long time the predominant NEPTM of matrix proteins, carbamylation seems to also play an important role in tissue aging. The existence of competition between these NEPTMs must be taken into account to better understand the consequences of molecular aging of matrix proteins in tissue aging.

Indexed as

AgingAnimalsAortaCollagen Type IDiabetes Mellitus, ExperimentalGlycation End Products, AdvancedGlycosylationKidney Failure, ChronicMiceMice, Inbred C57BLProtein CarbamylationProteinsSkinCollagen Type IGlycation End Products, AdvancedProteins

Identifiers

PMID31797985
PMCPMC6892850
OpenAlexW2992555911

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.