PuSH - Publication Server of Helmholtz Zentrum München

Insights into the molecular landscape of osteoarthritis in human tissues.

Curr. Opin. Rheumatol. 34, 79-90 (2022)
Publ. Version/Full Text DOI PMC
Open Access Gold (Paid Option)
Creative Commons Lizenzvertrag
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.
Altmetric
Additional Metrics?
Edit extra informations Login
Publication type Article: Journal article
Document type Review
Corresponding Author
Keywords evolution; multiomics; osteoarthritis; single-cell; Knee Osteoarthritis; Identification; Progression; Meniscus; Reveals; Risk
ISSN (print) / ISBN 1040-8711
e-ISSN 1531-6963
Quellenangaben Volume: 34, Issue: 1, Pages: 79-90 Article Number: , Supplement: ,
Publisher Lippincott Williams & Wilkins
Publishing Place Two Commerce Sq, 2001 Market St, Philadelphia, Pa 19103 Usa
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Translational Genomics (ITG)