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Predictive value of ex-vivo drug-inhibited cytokine production for clinical response to biologic DMARD therapy in rheumatoid arthritis


1, 2, 3, 4, 5, 6

 

  1. Department of Rheumatology, Sint Maartenskliniek, Nijmegen, the Netherlands. l.tweehuysen@maartenskliniek.nl
  2. Department of Rheumatology, Sint Maartenskliniek, Nijmegen, and Department of Rheumatology, Radboud University Medical Center, Nijmegen, the Netherlands.
  3. Department of Internal Medicine and Radboud Center for Infectious Diseases (RCI), Radboud University Medical Center, Nijmegen, the Netherlands.
  4. Department of Internal Medicine and Radboud Center for Infectious Diseases (RCI), Radboud University Medical Center, Nijmegen, and Department for Genomics & Immunoregulation, Life and Medical Sciences Institute (LIMES), University of Bonn, Germany.
  5. Department of Rheumatology, Sint Maartenskliniek, Nijmegen, and Department of Rheumatology, Radboud University Medical Center, Nijmegen, the Netherlands.
  6. Department of Internal Medicine and Radboud Center for Infectious Diseases (RCI), Radboud University Medical Center, Nijmegen, the Netherlands.

CER11120
2019 Vol.37, N°3
PI 0367, PF 0372
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PMID: 30767874 [PubMed]

Received: 20/01/2018
Accepted : 23/05/2018
In Press: 07/02/2019
Published: 10/05/2019

Abstract

OBJECTIVES:
To investigate ex-vivo drug-inhibited cytokine production before the start of a biological DMARD (bDMARD) as predictor of treatment response in rheumatoid arthritis (RA).
METHODS:
In a prospective RA cohort study [BIO-TOP], blood samples were obtained from patients before the start of a bDMARD (abatacept, adalimumab, etanercept, rituximab or tocilizumab). Peripheral blood mononuclear cells were pre-incubated for 1 hour with the therapeutic in-vivo concentration of the bDMARD and stimulated for 24 hours with heat-killed Candida albicans or Pam3Cys. Concentrations of IL-1β, IL-6, TNFα, IL-17 and IFNγ were determined by ELISA. EULAR response (good vs. moderate/no) was assessed at month 6. Area under the receiver operating characteristic curves (AUCs) were generated to evaluate the predictive value of baseline characteristics and ex-vivo cytokine production (including stimulated cytokine concentrations and absolute changes after inhibition by a bDMARD). Logistic prediction models were created to assess the added value of potential cytokine predictors.
RESULTS:
277 RA patients were included with 330 blood samples. Good response was reached in 39% of the cases. DAS28-CRP was predictive for response to adalimumab (AUC 0.70, 95%CI 0.57–0.83), etanercept (AUC 0.68, 95%CI 0.58–0.78) and rituximab (AUC 0.76, 95%CI 0.65–0.86). ACPA was modestly predictive for response to abatacept (AUC 0.63, 95%CI 0.52–0.75). In the ex-vivo analysis, 4 of 64 (6%) tests showed some predictive value but these had no added value to clinical factors routinely measured in RA, such as DAS28-CRP.
CONCLUSIONS:
Ex-vivo inhibition of cytokine production by bDMARDs is unable to help prediction of treatment response to bDMARDs in RA.

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