Abstract
ALTERED IMMUNOLOGICAL CIRCADIAN RHYTHMS AND THE EFFECT OF TREATMENT WITH GLUCOCORTICOIDS ON CIRCADIAN RHYTHMS OF IMMUNE CELLS IN PATIENTS WITH RHEUMATOID ARTHRITIS: BRING BACK THE RHYTHM
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Background: In rheumatoid arthritis (RA), pain, joint swelling, and stiffness follow a clear circadian pattern. Most of these symptoms are most pronounced in the early morning and primarily attributed to elevated levels of the key proinflammatory cytokines IL-6 and TNFα, which usually peak before clinical symptoms worsen (1). Synthetic glucocorticoids (GCs) are among the most prescribed drugs in the management of patients with RA. GCs have effects on almost every immune cell. GCs suppress expression of various cytokines, including IL-1β, TNFα, IL-6, and GM-CSF. Moreover, circadian rhythms of immune cells are known to be influenced by GCs. For example, GCs govern in part the rhythm of circulating CD4+ and CD8+ T cells.
Objectives: To identify circadian patterns for optimization of diagnosis and treatment strategies, we conducted a clinical study comparing healthy donors (HD) and patients with RA in terms of circadian rhythms. We examined the effect of treatment with GCs on circadian immune rhythms in patients with RA.
Methods: We recruited 12 HD and 13 patients with active RA (DAS28≥4.0) who either were (n=8) or, for comparison, were not (n=5) under current treatment with GCs. Their biological clock was synchronized for a week before the study day by a scheduled sleep and mealtime regimen. On the study day, participants were provided with regular meals, allowed to eat snacks ad libitum and carry passive activities. We collected blood samples every two hours over a period of 24 hours. The absolute number of circulating immune cells, clock gene expression, and serum cytokine levels were measured with TruCount, qPCR, and multiplex suspension assay, respectively.
Results: Peripheral regulatory T cells are circadian in HD and RA, but the number was notably reduced in RA (
Table 1
). CD8
T cells, CD14
monocytes, and CD19
B cells lost their circadian rhythms in RA, but these rhythms were restored with GC treatment. Circulating NK and NK T cells, which are not diurnal in HD, exhibited circadian fluctuations in RA. GC treatment suppressed diurnal pathological circulation rhythms of NK and NK T cells by reducing the amplitude by half. In monocytes,
BMAL1
,
PER1
,
PER2
, and
REVERBA
are only circadian in HD. GC restored the rhythms of
PER2
and
REVERBA
.
CRY1
expression showed diurnal variation in RA, but not in HD. IL-6 exhibited a circadian pattern in both groups, and GC treatment showed no significant effects on IL-6. Serum IL-4, IL-5, and MIP3α showed circadian variation in HD only. The following cytokines were notably elevated in RA-patients: IFNγ, MIP1α, MIP1β, IL-1β, IL-2, IL-17A, and IL-21. GC reduced the expression of IL-10 significantly in RA.
Table 1.
Circadian rhythms in the cellular, gene, and protein levels in HD, RA, and RA with ongoing GC treatment
Comparison
Circadian / GC impact
Circulating immune cells
Clock genes in monocytes
Serum cytokines
HD
vs.
RA
Non-circadian in HD and RA
-
CLOCK, CRY2, DBP, RORA
Fractaline, IFNγ, CXCL11, GM-CSF, MIP1α, MIP1β, IL-1β, IL-2, IL-4, IL-7, IL-8, IL-10, IL-12, IL-13, IL-17A, IL-21, IL-23
Circadian in HD and RA
CD3
, CD4
, regulatory T cells
PER3
IL-6
Circadian in HD
CD8
T cells, CD14
monocytes, CD19
B cells
BMAL1,PER1, PER2, REVERBA
IL-4, IL-5, MIP3α
Circadian in RA
NK cells, NK T cells
CRY1
-
RA
vs.
GCs-treated RA
Restorative effect by GC
CD8
T cells, CD19
B cells
PER2, REVERBA
-
Enhancing effect by GC
regulatory T cells
PER3, CRY1
-
Dampening effect by GC
NK T cells, NK cells
-
-
Conclusion: In patients with RA, we found a certain loss of circadian rhythms and the establishment of “inflammatory” rhythms. GC treatment in patients with RA resulted in three different types of effects on circadian rhythms at immune cell level: restoration, amplification, and attenuation. In conclusion, these findings provide new insights into the pathophysiology of circadian rhythms in RA that could be used to optimize diagnosis and treatment.
REFERENCES:
[1]
Clocking in: chronobiology in rheumatoid arthritis.
Buttgereit, Frank, et al.
2015, Nature Reviews Rheumatology, Vol. 11, pp. 349–356.
Acknowledgements: We thank all participants for their contribution. We thank our clinical study team: Manuela Jakstadt, Lisa Ehlers, Alexandra Damerau, Annamarie Lang, Moritz Pfeiffenberger, Gabriela May, and Pierre-Louis Krauß.
Disclosure of Interests: None declared.
Citation: , volume 81, supplement 1, year 2022, page 53Session: Rheumatoid arthritis - aetiology, pathogenesis and animal models
(Oral Presentations)
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