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Expression of ERAP2 and LST1 is increased before start of therapy in rheumatoid arthritis patients with good clinical response to glucocorticoids


1, 2, 3, 4, 5, 6

 

  1. Dept. of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Netherlands; and Ludwig Boltzmann Inst. of Osteology at the Hanusch Hospital of WGKK and AUVA Trauma Centre Meidling, 1st Medical Dept., Hanusch Hospital, Vienna, Austria.
  2. Laboratory of Translational Immunology, University Medical Center Utrecht, The Netherlands.
  3. Department of Molecular Cancer Research, University Medical Center Utrecht, The Netherlands.
  4. Ludwig Boltzmann Institute of Osteology at the Hanusch Hospital of WGKK and AUVA Trauma Centre Meidling, 1st Medical Department, Hanusch Hospital, Vienna, Austria.
  5. Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, The Netherlands.
  6. Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, The Netherlands.

CER8868
2016 Vol.34, N°4
PI 0685, PF 0689
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PMID: 27384923 [PubMed]

Received: 15/08/2015
Accepted : 01/02/2016
In Press: 22/06/2016
Published: 14/07/2016

Abstract

OBJECTIVES:
Glucocorticoids (GC) remain a cornerstone of rheumatoid arthritis (RA) therapy, although a third of patients do not respond adequately. In order to find potential predictors for clinical response, the gene expression profile of CD4+T-cells as important players in the pathogenesis of RA was analysed before pulse therapy with 1000 mg methylprednisolone.
METHODS:
Patients were treated with 3x1000 mg methylprednisolone in 5 days; hereafter response was determined by the European League Against Rheumatism (EULAR) response criteria. Before start of treatment, CD4+T-cells (and CD14+monocytes) were separated by MACS sorting. Labelled cRNA from CD4+T-cells from 5 responders and 5 non-responders was hybridised to Agilent 4x44K microarray chips and differentially expressed genes were identified via mixed-model analysis of variance based on permutation-based false discovery rates. Selected genes were validated by quantitative real-time PCR (qPCR).
RESULTS:
Four genes were significantly increased in CD4+T-cells of GC-responders; expression of ERAP2 (endoplasmic reticulum aminopeptidase 2), LST1 (leucocyte-specific transcript 1) and FAM26F (Family With Sequence Similarity 26, Member F) was confirmed by quantitative PCR (qPCR); their expression was inversely correlated with DAS28 at day 5 (LST1 and FAM26F p<0.05; ERAP2: p=0.07). Elevated expression of ERAP2 was also detected by qPCR in CD14+monocytes and after 24 hours in both cell types (all p<0.02).
CONCLUSIONS:
The increased expression of ERAP2, LST1 and FAM26F in GC-responders before therapy warrants further investigation into their role as potential predictors for the response to GC, and in the inflammatory process of RA.

Rheumatology Article