Insights into the molecular landscape of osteoarthritis in human tissues

Georgia Katsoula, Peter Kreitmaier, Eleftheria Zeggini

Research output: Contribution to journalReview articlepeer-review

13 Scopus citations

Abstract

Purpose of reviewTo 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 findingsWe 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.SummaryMultitissue 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.

Original languageEnglish
Pages (from-to)79-90
Number of pages12
JournalCurrent opinion in rheumatology
Volume34
Issue number1
DOIs
StatePublished - 1 Jan 2022
Externally publishedYes

Keywords

  • evolution
  • multiomics
  • osteoarthritis
  • single-cell

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