Responders vs. non-responders to mesenchymal stromal cells in knee osteoarthritis patients: mechanistic correlates of donor cell attributes and patient features
Robb, K. P.; Rabani, R.; Vohra, S.; Fazio, A.; Singh, S.; Chahal, J.; Audet, J.; Perruccio, A. V.; Gandhi, R.; Viswanathan, S.
Show abstract
Mesenchymal stromal cells (MSCs) have resulted in heterogenous clinical effectiveness in knee osteoarthritis (KOA). Herein, a framework that dually correlates KOA patient responsiveness to baseline bone marrow-derived MSC(M) donor batch attributes and baseline clinical and biomarker features is provided. Using previous clinical trial data, we demonstrated that MSCs with increased immunomodulatory potency are more efficacious. Multivariable MSC(M) genes correlated strongly with responder status and to 12- and 24-month improvements in Knee Osteoarthritis and Outcome Scores. Responder MSC(M) donor batches had differential microRNA expression and ability to polarize CD14+ monocytes in vitro. KOA Responders had more severe OA and lower physical activity. Baseline biomarkers showed trending correlations to patient responsiveness. 62.5% of KOA patients remained Responders at 8-10 years, speaking to longer-term effects of single MSC(M) injections. Thus, our analytical methodology defines critical quality attributes of potent MSC donor batches and identifies putative KOA patient theratypes to MSC treatments. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=160 HEIGHT=200 SRC="FIGDIR/small/665028v3_ufig1.gif" ALT="Figure 1"> View larger version (49K): org.highwire.dtl.DTLVardef@f47f11org.highwire.dtl.DTLVardef@1c25354org.highwire.dtl.DTLVardef@ecb4cdorg.highwire.dtl.DTLVardef@5219e0_HPS_FORMAT_FIGEXP M_FIG C_FIG
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Human pluripotent stem cell model of multiple epiphyseal dysplasia with MATN3 mutation identifies altered Matrix organisation and upregulation of the cholesterol biosynthesis pathway 93%
- A programmable arthritis-specific receptor for guided articular cartilage regenerative medicine 93%
- Combining segmental bulk- and single-cell RNA-sequencing to define the chondrocyte gene expression signature in the murine knee joint 93%
Similar papers in this journal
- Distinct immune-effector and metabolic profile of CD8 + T Cells in patients with autoimmune polyarthritis induced by therapy with immune-checkpoint inhibitors 93%
- Ex vivo mass cytometry analysis reveals a profound myeloid proinflammatory signature in psoriatic arthritis synovial fluid 91%
- Cell and Transcriptomic Diversity of Infrapatellar Fat Pad during Knee Osteoarthritis 91%
Similar papers in this journal
- CD146+CD107a+ Mesenchymal Stem/Stromal Cells with Signature Attributes Correlate to Therapeutic Potency as \"First Responders\" to Injury and Inflammation 94%
- Modulating Mesenchymal Stromal Cell Microenvironment Alters Exosome RNA Content and Ligament Healing Capacity 92%
- Mesenchymal Stromal Cell secretome is affected by tissue source, donor age and sex. 91%
Similar papers in this journal
- Il-6 Signaling Exacerbates Hallmarks Of Chronic Tendon Disease By Stimulating Reparative Fibroblasts 95%
- Increase of cell surface vimentin (CSV) is associated with vimentin network disruption and subsequent stress-induced premature senescence (SIPS) in human chondrocytes 93%
- Hypertrophic Chondrocytes Serve as a Reservoir for Marrow Associated Skeletal Stem and Progenitor Cells, Osteoblasts, and Adipocytes During Skeletal Development 93%
Similar papers in this journal
- Mesenchymal stromal cell chondrogenesis under ALK1/2/3-specific BMP inhibition: A revision of the prohypertrophic signalling network concept 94%
- Autologous iPSC- and MSC-derived Chondrocyte Implants for Cartilage Repair in a Miniature Pig Model 93%
- Connexin 43 Regulates Intercellular Mitochondrial Transfer from Human Mesenchymal Stromal Cells to Chondrocytes 91%
"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.