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 language | English |
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Pages (from-to) | 79-90 |
Number of pages | 12 |
Journal | Current opinion in rheumatology |
Volume | 34 |
Issue number | 1 |
DOIs | |
State | Published - 1 Jan 2022 |
Keywords
- evolution
- multiomics
- osteoarthritis
- single-cell