Glycation marker glucosepane increases with the progression of osteoarthritis and correlates with morphological and functional changes of cartilage in vivo

Abstract Background Changes of serum concentrations of glycated, oxidized, and nitrated amino acids and hydroxyproline and anticyclic citrullinated peptide antibody status combined by machine learning techniques in algorithms have recently been found to provide improved diagnosis and typing of early...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijät: Catherine Legrand, Usman Ahmed, Attia Anwar, Kashif Rajpoot, Sabah Pasha, Cécile Lambert, Rose K. Davidson, Ian M. Clark, Paul J. Thornalley, Yves Henrotin, Naila Rabbani
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: BMC 2018-06-01
Sarja:Arthritis Research & Therapy
Aiheet:
Glycation
Oxidative stress
Citrullination
Inflammation
Machine learning
Linkit:http://link.springer.com/article/10.1186/s13075-018-1636-6
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Internet

http://link.springer.com/article/10.1186/s13075-018-1636-6

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