Title:
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CD4+161+ T Cells in Rheumatoid Arthritis
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Rheumatoid arthritis (RA) patients develop a chronic inflammation in synovial
joints and often in other tissues. Since efforts to isolate microbial agents from the
involved sites have failed to confirm an infectious origin, it is generally agreed
that RA is an autoimmune disease. However, the mechanisms initiating and
maintaining the abnormal immune response remain poorly understood. The
number ofNKT cells is reduced in several human autoimmune disorders and in
animal models of autoimmunity. The purpose of this study was to investigate
whether the frequency of CD161+ NKT cells in RA correlates with clinical
disease parameters.
As a group, RA patients had approximately three times less CD161+ CD4+ T
cells in their PB than age and sex matched controls, as expected. In contrast, the
number ofCD161+ CD4+ Tcells in the SF was 2.5-3 times higher than in the PB
of the same patient. There was no obvious correlation between the frequency of
these cells and clinical parameters.
Despite reductions in absolute CD161+ cell numbers in RA PB, the abundance of
the mRNA coding for this protein was higher in the patiept group than in
controls. Furthermore, CD161 message expression showed a bimodal
distribution. High CD161 abundance correlated with the lack of erosions, while
low levels - with erosive changes. These observations held both in newly
diagnosed patients (disease duration < 6 months) and the established RA group
(disease duration> 3 years). This study confirms the loss of CD161+ CD4+ T
lymphocytes in the PB ofRA patients. However, the frequency of these cells was
comparatively higher in the SF. Significantly increased mRNA expression by PB
CD161+ cells may indicate an activation-induced intemalisation of this receptor
from the cell surface that, due to differences in the immunological
microenvironment, does not happen in the SF. CD161 upregulation appear to be
a disease-specific event in RA. Furthermore, the correlation between low CD161
expression levels and formation of erosions in RA may be used to predict longterm
disease outcome in patient
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