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

Research output: Contribution to journalArticle

Authors

  • Catherine Legrand
  • Usman Ahmed
  • Attia Anwar
  • Cécile Lambert
  • Rose K. Davidson
  • Paul J. Thornalley
  • Yves Henrotin
  • Naila Rabbani

Colleges, School and Institutes

External organisations

  • Institute of Pathology, Liège, Belgium
  • University of Warwick
  • University of East Anglia
  • Princess Paola Hospital, Marche-en-Famenne, Belgium

Abstract

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-stage arthritis of the knee, including osteoarthritis (OA), in patients. The association of glycated, oxidized, and nitrated amino acids released from the joint with development and progression of knee OA is unknown. We studied this in an OA animal model as well as interleukin-1β-activated human chondrocytes in vitro and translated key findings to patients with OA.

Details

Original languageEnglish
Article number131
JournalArthritis Research & Therapy
Volume20
Publication statusPublished - 22 Jun 2018

Keywords

  • Glycation, Oxidative Stress, Citrullination, Inflammation, Machine Learning