Single-cell transcriptomics of multi-site cell therapy in osteoarthritis: Tissue-specific treatment correlations

Knee-osteoarthritis (knee OA) is a prevalent joint disorder lacking Food and Drug Administration-approved cell therapies to halt progression. This study uses single-cell RNA sequencing to analyze bone marrow aspirate concentrate (BMAC) and stromal vascular fraction (SVF) samples in a clinical trial of autologous cell therapies. Trial site-specific variability was significant in BMAC, necessitating tailored normalization, whereas SVF was less affected, likely due to uniform subcutaneous fat sampling. Variance partitioning and tensor decomposition identified site effects in BMAC but revealed shared pathways across cell types in both tissues. Differential gene expression (DEG) analysis between responders and non-responders yielded no significant findings, although likelihood ratio test (LRT) revealed enrichment for DEG patterns linked to disease severity, potentially masked by patient heterogeneity. Key BMAC pathways included oxidative phosphorylation, unfolded protein response, and tumor necrosis factor alpha (TNF-α) signaling. Cell-cell communication analysis suggested enhanced human leukocyte antigen (HLA) signaling in non-responder MSCs (mesenchymal stromal cells), consistgenesent with inflammation, while responders showed more coordinated immune interactions. BMAC-MSCs promoted chondrocyte proliferation, whereas SVF-MSCs emphasized immune regulation. This study suggests that variability in therapy outcomes reflects patient heterogeneity beyond genomic factors, complicating the immediate use of genomic profiling to guide treatment. Nonetheless, as molecular pathways become better understood, integrating genomic insights into personalized strategies may become feasible.