Dynamics of TNF during TNF inhibitor treatment

Open Access
Authors
  • L.C. Berkhout
Supervisors
Cosupervisors
  • T. Rispens
  • G.J. Wolbink
Award date 23-06-2021
ISBN
  • 9789463757409
Number of pages 177
Organisations
  • Faculty of Science (FNWI) - Swammerdam Institute for Life Sciences (SILS)
Abstract
Tumor necrosis factor (TNF) is an important pro-inflammatory cytokine driving inflammation in auto-immune diseases, including rheumatoid arthritis (RA). Blocking TNF with TNF inhibitors (TNFi) is effective in the treatment of these diseases. TNFi treatment can be that effective that a proportion of patients can successfully stop treatment. This led to the hypothesis that TNF levels decrease in patients who are in clinical remission. Monitoring TNF during TNFi treatment could therefore be a potential biomarker in predicting successful treatment discontinuation, and might help to personalize TNFi treatment.
The development of new, so called ´drug-tolerant´ TNF assays allowed the quantification of TNF in presence of large amounts of TNFi. Using these assays, we demonstrated that after an initial increase, TNF concentrations remained remarkably stable. This was irrespective of disease activity. Surprisingly, a similar increase in TNF was found in healthy volunteers after one dose of TNFi. The amount of TNF at steady-state varied for the five different TNFi, and depended on differences in clearance of TNF-TNFi complexes. So, in contrast to what was expected, TNF levels did not decrease in patients in remission and TNF can therefore not be used as a biomarker for treatment discontinuation. We did find that low TNF concentrations early after the start of TNFi treatment associated with future anti-drug antibody (ADA) formation and a reduced clinical response. Together, the results presented in this thesis are in contrast with the original idea that too much TNF contributes to inflammation in chronic autoimmune diseases. Our studies do provide new insights in the relation between TNF concentrations and immunogenicity, which may contribute to the optimization of TNFi treatment.
Document type PhD thesis
Note Please note that the acknowledgements section is not included in the thesis downloads.
Language English
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