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Katsoula, G. ; Lawrence, J.E.G.* ; Arruda, A.L. ; Tutino, M. ; Balogh, P.* ; Southam, L. ; Swift, D.* ; Behjati, S.* ; Teichmann, S.A.* ; Wilkinson, J.M.* ; Zeggini, E.

Primary cartilage transcriptional signatures reflect cell-type-specific molecular pathways underpinning osteoarthritis.

Am. J. Hum. Genet. 111, 2735-2755 (2024)
Publ. Version/Full Text DOI PMC
Open Access Gold (Paid Option)
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Translational efforts in osteoarthritis are hampered by a gap in our understanding of disease processes at the molecular level. Here, we present evidence of pronounced transcriptional changes in high- and low-disease-grade cartilage tissue, pointing to embryonic processes involved in disease progression. We identify shared transcriptional programs between osteoarthritis cartilage and cell populations in the human embryonic and fetal limb, pointing to increases in pre-hypertrophic chondrocytes' transcriptional programs in low-grade cartilage and increases in osteoblastic signatures in high-grade disease tissue. We find that osteoarthritis genetic risk signals are enriched in six gene co-expression modules and show that these transcriptional signatures reflect cell-type-specific expression along the endochondral ossification developmental trajectory. Using this network approach in combination with causal inference analysis, we present evidence of a causal effect on osteoarthritis risk for variants associated with the expression of ten genes that have not been previously reported as effector genes in genome-wide association studies in osteoarthritis. Our findings point to key molecular pathways as drivers of cartilage degeneration and identify high-value drug targets and repurposing opportunities.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Rna Sequencing ; Cell-type-specific Expression ; Chondrocyte Populations ; Disease Pathways ; Endochondral Ossification ; Gene Co-expression Networks ; Gene Set Analysis ; Osteoarthritis
ISSN (print) / ISBN 0002-9297
e-ISSN 1537-6605
Quellenangaben Volume: 111, Issue: 12, Pages: 2735-2755 Article Number: , Supplement: ,
Publisher Elsevier
Publishing Place New York, NY
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Translational Genomics (ITG)