Proteomics profiling of human synovial fluid suggests global increased protein interplay in early-osteoarthritis (OA) and lost in late-stage OA
Ali, N.; Turkiewicz, A.; Hughes, V.; Folkesson, E.; Tjörnstrand, J.; Neuman, P.; Önnerfjord, P.; Englund, M.
Show abstract
The underlying molecular mechanisms in osteoarthritis (OA) development are largely unknown. This study explores the proteome and the pairwise interplay of proteins on a global level in synovial fluid from patients with late-stage knee OA (arthroplasty), early knee OA (arthroscopy due to degenerative meniscal tear) and from deceased controls without knee OA. Synovial fluid samples were analyzed using state-of-the-art mass spectrometry with data-independent acquisition. The differential expression of the proteins detected was clustered and evaluated with data mining strategies and a multilevel model. Group-specific slopes of associations were estimated between expressions of each pair of identified proteins to assess the co-expression (i.e. interplay) between the proteins in each group. More proteins were increased in early-OA vs controls than late-stage OA vs controls. For most of these proteins, the fold changes between late-stage OA vs controls and early stage OA vs controls were remarkably similar suggesting potential involvement in the OA process. Further, for the first time this study illustrated distinct patterns in protein co-expression suggesting that the global interplay between the protein machinery is increased in early-OA and lost in late-stage OA. Further efforts should probably focus on earlier stages of the disease than previously considered.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Transcriptional response of human articular chondrocytes treated with fibronectin fragments: an in vitro model of the osteoarthritis phenotype 96%
- The effect of exercise on the protein profile of rat knee joint intra- and extra-articular ligaments 95%
- Circadian time series proteomics reveals daily dynamics in cartilage physiology 95%
Similar papers in this journal
- An ex vivo tissue model of cartilage degradation suggests that cartilage state can be determined from secreted key protein patterns 96%
- RORβ modulates a gene program that is protective against articular cartilage damage 95%
- Iron nanoparticle-labeled murine mesenchymal stromal cells in an osteoarthritic model persists and demonstrates anti-inflammatory mechanism of action 94%
Similar papers in this journal
- Multi-tissue network analysis for drug prioritization in knee osteoarthritis 94%
- Rcn3 is Involved in Postnatal Tendon Development by Regulating Collagen Modification and Fibrillogenesis 93%
- Multi-omics profiling of collagen-induced arthritis mouse model reveals early metabolic dysregulation via SIRT1 axis 92%
Similar papers in this journal
- Ex-Vivo Equine Cartilage Explant Osteoarthritis Model - A Metabolomics and Proteomics Study 95%
- Low-invasive sampling method for taxonomic for the identification of archaeological and paleontological bones by proteomics of their collagens 92%
- Saliva proteome-wide structural changes are associated with oral cancer aggressiveness 90%
Similar papers in this journal
- Mast cells differentiated in synovial fluid and resident in osteophytes exalt the inflammatory pathology of osteoarthritis 97%
- Transcriptomic changes during the replicative senescence of human articular chondrocytes 95%
- Joint degeneration in a mouse model of pseudoachondroplasia: ER stress, inflammation and autophagy blockage 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.