| Literature DB >> 31533744 |
Céline Coppard1,2, Francis Bonnefoy3, Dalil Hannani1,2,4, Françoise Gabert1,2, Olivier Manches1,2, Joel Plumas1,2, Sylvain Perruche3, Laurence Chaperot5,6.
Abstract
BACKGROUND: Despite major advances in rheumatoid arthritis outcome, not all patients achieve remission, and there is still an unmet need for new therapeutic approaches. This study aimed at evaluating in a pre-clinical murine model the efficacy of extracorporeal photopheresis (ECP) in the treatment of rheumatoid arthritis, and to provide a relevant study model for dissecting ECP mechanism of action in autoimmune diseases.Entities:
Keywords: Autoimmunity; Collagen-induced arthritis; Extracorporeal photopheresis; Preclinical study
Year: 2019 PMID: 31533744 PMCID: PMC6751641 DOI: 10.1186/s12967-019-2066-1
Source DB: PubMed Journal: J Transl Med ISSN: 1479-5876 Impact factor: 5.531
Fig. 1Typical clinical pattern of collagen-induced arthritis in male DBA/1 mice. Arthritis symptoms started 3 weeks after immunization. a The severity of arthritis was monitored by using the classical scoring system, based on paw swelling and erythema evolution. The value on each picture represents the score determined for the displayed paw. b Individual paw scores were summed to determine the clinical score of the mouse. Arthritis was mild at first, and became increasingly severe
Fig. 2ECP treatment efficiently reverses arthritis progression. Spleen cells from arthritic mice were submitted to psoralen + UVA irradiation, resulting in their rapid apoptosis. a Representative flow cytometry profile of cells 5 h after ivPUVA treatment of the cells. Live cells are defined as AnnV negative 7-AAD negative cells. b Mean and standard deviation of 5 samples from 5 different arthritic mice spleen cells. Statistical differences between treated and untreated mice were determined by Mann and Whitney test (“*” means p < 0.05). c Mice with established arthritis were injected (green dotted lines) or not (red plain lines) 3 times (arrows) with ivPUVA spleen cells taken from arthritic mice. Each curve represents the relative clinical score of one mouse. d Mean and standard error of the mean (SEM) of relative clinical score in 13 mice per group from two different experiments. The two curves represent the calculated nonlinear regression, second order polynomial equations and are statistically different (comparison of polynomial coefficients) for untreated (black squares) and treated (white circles) mice, reflecting the different overall clinical course in treated versus untreated mice. Bayesian analysis using a Baranyi model also indicated that the two curves were different (Bayes factor > 1000)
Fig. 3ECP treatment modifies Th17 frequency. Immune cell profile was analyzed in mice treated or not by ECP 12 days after beginning of the treatment. a Representative flow cytometry profile of regulatory T cells (FoxP3+/CD25+) and Th1 (IFNγ+) and Th17 (IL17+) cells labeling, on gated CD3 + CD4 + T lymphocytes. b Mean percentages (± standard deviation) of Treg, Th1, and Th17 in the blood of treated and non-treated mice (10 mice per groups in two independent experiments). c Cytokine concentrations in sera were measured by cytometric bead array. Bars represent the mean and standard deviation for 10 mice per groups in two independent experiments. Statistical differences between treated and untreated mice were determined by Mann and Whitney test
Fig. 4ECP efficacy relies on the presence of arthritogenic T cells in the treated sample. Mice with established arthritis were left untreated or were injected 3 times with ivPUVA spleen cells taken from arthritic or healthy mice. a Mean and SEM of relative clinical score in 15 mice per group from 3 independent experiments. The three curves represent the calculated nonlinear regression, second order polynomial equations and are statistically different for mice treated with ivPUVA spleen cells from arthritic mice (white circles) compared to untreated mice (black squares) or treated with ivPUVA cells from healthy mice (stars). Bayesian analysis using a Baranyi model also indicated that the A-PUVA curve was different from the two others (Bayes factor > 1000). b Th17 cell percentages were determined, and bars represent the mean for 5 mice per groups in one experiment. Kruskal–Wallis test showed significant differences between the 3 groups (p = 0.016) and Dunns’ post-test was used to compare the 3 groups (*p < 0.05)