Proteomic profiling of human menisci from mild joint degeneration and end-stage osteoarthritis versus healthy controls

Rocío Paz-González, Aleksandra Turkiewicz, Neserin Ali, Cristina Ruiz-Romero, Francisco J. Blanco, Martin Englund, Patrik Önnerfjord

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: To gain new insight into the molecular changes of the meniscus by comparing the proteome profiles of healthy controls with mild degeneration and end-stage osteoarthritis (OA). Method: We obtained tissue plugs from lateral and medial menisci of 37 individuals (central part of the posterior horn) classified as healthy (n ​= ​12), mild signs of joint damage (n ​= ​13) and end-stage OA (n ​= ​12). The protein profile was analysed by nano-liquid chromatography-mass spectrometry using data-independent acquisition and quantified by Spectronaut. Linear-mixed effects modelling was applied to extract the between-group comparisons. Results: A similar protein profile was observed for the mild group as compared to healthy controls while the most different group was end-stage OA mainly for the medial compartment. When a pattern of gradual change in protein levels from healthy to end-stage OA was required, a 42-proteins panel was identified, suggesting a potential role in OA development. The levels of QSOX1 were lower and G6PD higher in the mild group following the proposed protein abundance pattern. Qualitative protein changes suggest lower levels of CYTL1 as a potential biomarker of early joint degradation. Conclusion: For future targeted proteomic approaches, we propose a candidate panel of 42 proteins based on gradually altered meniscal posterior horn protein abundance patterns associated with joint degradation.

Original languageEnglish
Article number100417
JournalOsteoarthritis and Cartilage Open
Volume5
Issue number4
DOIs
Publication statusPublished - 2023 Dec

Subject classification (UKÄ)

  • Rheumatology and Autoimmunity

Free keywords

  • Degeneration
  • Meniscus
  • Osteoarthritis
  • Proteomics

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