Genotoxic stressors mimicking synovial microenvironment modulate B cell fate in RA-FLS co-culture - Summary - MDSpire

Genotoxic stressors mimicking synovial microenvironment modulate B cell fate in RA-FLS co-culture

  • By

  • Denada Bruci

  • Torsten Lowin

  • Gerhard Fritz

  • Francesca Wolf

  • Georg Pongratz

  • July 13, 2026

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Objective:

To investigate the response of naive B cells to specific cytotoxic stressors, including γ-irradiation and hydrogen peroxide, when supported by RA-FLS in a co-culture model.

Approach:
  • Co-culture model: Healthy human naive B cells were co-cultured with RA-derived fibroblast-like synoviocytes (RA-FLS) and exposed to genotoxic stimuli to assess their viability and response.
  • Assays: Viability assays were conducted to measure cell survival, time-resolved γ-H2AX MFI was used to assess DNA damage, RT-qPCR analyzed the expression of DNA damage response and differentiation genes, and flow cytometric analysis evaluated cell subsets and surface markers.
Key Findings:
  • Naive B cells showed greater loss of viability compared to RA-FLS.
  • γ-H2AX MFI indicated an earlier peak and decline in naive B cells, while RA-FLS retained prolonged γ-H2AX levels.
  • Transcriptional profiling revealed selective induction of DNA damage response genes such as ATM, APEX1, RAD50, BAX, and BCL6.
  • Prolonged co-culture led to expansion of B cell compartments and increased expression of stromal markers CD90 and podoplanin.
Interpretation:

Genotoxic stress may influence B cell fate and immune-stromal interactions in the rheumatoid synovium based on observed responses.

Limitations:
  • The study primarily focuses on B cell responses and does not extensively analyze RA-FLS, limiting the understanding of their role.
  • Findings are based on a reductionist model, which may not fully replicate the complex in vivo conditions of rheumatoid arthritis.
Conclusion:

The study defines differential stress responses and phenotypic adaptations of B cells and RA-FLS within an inflammatory co-culture system, highlighting the complexity of their interactions.

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