Insights into the molecular landscape of osteoarthritis in human tissues

Curr Opin Rheumatol. 2022 Jan 1;34(1):79-90. doi: 10.1097/BOR.0000000000000853.

Abstract

Purpose of review: To provide an overview of recent developments in the field of osteoarthritis research with a focus on insights gleaned from the application of different -omic technologies.

Recent findings: We searched for osteoarthritis-relevant studies focusing on transcriptomics, epigenomics, proteomics and metabolomics, published since November of 2019. Study designs showed a trend towards characterizing the genomic profile of osteoarthritis-relevant tissues with high resolution, for example either by using single-cell technologies or by considering several -omic levels and disease stages.

Summary: Multitissue interactions (cartilage-subchondral bone; cartilage-synovium) are prevalent in the pathophysiology of osteoarthritis, which is characterized by substantial matrix remodelling in an inflammatory milieu. Subtyping approaches using -omic technologies have contributed to the identification of at least two osteoarthritis endotypes. Studies using data integration approaches have provided molecular maps that are tissue-specific for osteoarthritis and pave the way for expanding these data integration approaches towards a more comprehensive view of disease aetiopathogenesis.

Publication types

  • Review

MeSH terms

  • Epigenomics*
  • Humans
  • Metabolomics
  • Osteoarthritis* / genetics
  • Proteomics
  • Transcriptome