The ovarian reserve as measured by the anti-Müllerian hormone is not diminished in patients with rheumatoid arthritis compared to the healthy population.

OBJECTIVES: Rheumatoid arthritis (RA) is the most prevalent chronic inflammatory arthritis, affecting 0.5-1% worldwide population and predominates in females. Altered fertility has been reported due to a decrease in ovarian reserve secondary to sustained inflammation. The anti-Müllerian Hormone (AMH) is currently the most reliable biomarker of ovarian reserve. However, few and contradictory studies have been reported to analyse the relationship between fertility in RA female patients and AMH. The aim of present study is to determine the AMH serum concentrations in a long-standing RA patient group and control group. We also sought to determine the correlation between AMH serum levels and disease activity measured by different parameters and the effect of biological DMARDs. METHODS: Serum AMH levels were measured in 60 women with long-standing RA aged 20-50 y.o. and compared to 59 healthy women. AMH was assessed by an electrochemiluminescence immunoassay method (ECLIA, Roche Diagnostics) and a large data set of clinical and molecular data was annotated. Demographic parameters, RA disease activity measured by DAS28 score and inflammatory biomarkers such as ESR, CRP, lymphocyte CD4+, CD8+, NK cells, IL-10 and IL-6 were determined. A comprehensive gynaecological self-administered questionnaire was given. Serum AMH levels were age-correlated. Differences between groups were calculated using Student's t-test or Mann-Whitney U-test for continuous variables and Fisher's exact test for categorical variables. Multivariate analysis was conducted by the partial correlation coefficient. Linear regression analysis was performed to study the effect of different variables on proportional AMH change. p-values <0.005 were considered significant. RESULTS: The median age was similar in AR and control groups (37.4±6.23 vs. 37.3±6.27 p=0.937). Mean disease duration was 8.37±5.36 years. The number of previous treatments was <3 in 71.7% of patients and ≥3 in 28.3%. Disease activity measured by DAS28 was 2.89± 1.54. The age-adjusted mean serum concentration of AMH was 1.27 ng/ml [IQR 0.42; 2.24] in RA patients and 1.31 ng/ml [IQR 0.46; 3.09] in controls (p=0.608). Neither disease activity (p=0.862), nor current or previous bDMARDs treatments (p=0.871) were associated with AMH levels. However, a negative linear correlation was observed between AMH and IL-10 levels (p=0.033). CONCLUSIONS: Our study shows that ovarian reserve determined by AMH serum levels is not reduced in rheumatoid arthritis patients compared with healthy controls. In our series, AMH levels were not affected by disease activity, however, a significant correlation was observed between AMH and IL-10 levels. These results support the role of cytokines profile in the female reproductive system and will focus further investigations in this critical area, mainly once biological DMARDs have been recommended in RA pregnant patients.

α1-Antitrypsin in fibromyalgia: results of a randomized, placebo-controlled, double-blind and crossover pilot trial.

OBJECTIVE: To assess clinical effect of a human plasma-derived alpha-1 antitrypsin (AAT) concentrate in reducing pain severity of patients with fibromyalgia (FM). METHODS: Thirteen subjects with FM completed a randomized, double-blind, placebo-controlled, crossover study which consisted of 9 weeks trial of AAT or placebo with a washout period of 6 weeks. Primary efficacy endpoint was change on pain severity score, assessed by a daily visual analogue scale (VAS) for pain. Other outcome measures included a tender point score, the Fibromyalgia Impact Questionnaire, (FIQ), the Medical Outcomes Study Short Form 36 (SF-36), the Health Assessment Questionnaire Disability Index (HAQ-DI), the Hospital Anxiety and Depression Scale (HADS) and tiredness score evaluated by VAS. RESULTS: No statistically significant differences were observed in either pain severity or other secondary outcome measures in either of the treatment groups, or between treatment groups in either of the treatment periods. No carryover or order of intervention effect was observed from one treatment to the other. Both investigational interventions were generally well tolerated, and vital signs during the drug infusions were within the respective normal ranges. CONCLUSION: Treatment with a human plasma-derived AAT concentrate did not demonstrate significant improvement over placebo on reducing pain severity and other symptoms of FM. Further research should examine other FM subpopulations and drug doses.

Identification of candidate genes for rituximab response in rheumatoid arthritis patients by microarray expression profiling in blood cells.

AIMS: Transient CD20+ B-cell depletion with rituximab is an effective treatment for rheumatoid arthritis (RA). However, there is a subgroup of patients that do not show significant clinical response to rituximab and for these patients, other modes of treatment are preferred. Finding biomarkers for drug response in RA has immense potential for improving treatment and lowering healthcare costs for treating RA patients by facilitating the optimization of their pharmacotherapy. In the present study, we report on gene expression profiles of three different blood cell types in rituximab responders and nonresponder RA patients identifying new candidate genes associated with rituximab response. MATERIALS & METHODS: Transcriptional profiles of whole-blood, CD4+ T cells and B cells were analyzed from nine female patients (mean age 53 +/- 11 years) with active RA disease (DAS28 > 5.1), starting rituximab therapy using Illumina (CA, USA) gene-expression microarrays. Whole-blood RNA was extracted using the PAXgene system (PreAnalytix, Hombrechtikon, Switzerland) whilst the lymphocyte RNA was obtained following cell isolation using negative selection. Flow cytometry analysis was performed to determine whole blood subpopulations, as well as the lymphocyte isolation purity. A whole-genome expression profiling was performed on the RNA samples prepared from the three blood cell populations using the Illumina Human 6 Beadchip array system version 1 (Illumina). From the group of statistically significant genes showing differential expression in rituximab responders compared with nonresponder RA patients, we selected a group of candidate genes that were subsequently validated in the same RNA samples using TaqMan real-time PCR assays. RESULTS: Several genes were identified whose level of expression is associated significantly with the response to rituximab in all three blood cell types evaluated (multiple-test corrected p-value < 0.05). Real-time PCR-validated genes include ARG1 (1.6-fold downregulated in responders) and TRAF1 (1.4-fold upregulated in responders) genes in whole blood and TLR4 (1.3-fold upregulated in responders) in CD4+ T cells. CONCLUSIONS: The present study is the first gene expression microarray analysis reporting on biomarkers of the clinical response to rituximab in RA in blood cells. Following validation in larger cohorts, the identified genes may serve as biomarkers for treatment choice in RA.

DAS-28-based EULAR response and HAQ improvement in rheumatoid arthritis patients switching between TNF antagonists.

INTRODUCTION: No definitive data are available regarding the value of switching to an alternative TNF antagonist in rheumatoid arthritis patients who fail to respond to the first one. The aim of this study was to evaluate treatment response in a clinical setting based on HAQ improvement and EULAR response criteria in RA patients who were switched to a second or a third TNF antagonist due to failure with the first one. METHODS: This was an observational, prospective study of a cohort of 417 RA patients treated with TNF antagonists in three university hospitals in Spain between January 1999 and December 2005. A database was created at the participating centres, with well-defined operational instructions. The main outcome variables were analyzed using parametric or non-parametric tests depending on the level of measurement and distribution of each variable. RESULTS: Mean (+/- SD) DAS-28 on starting the first, second and third TNF antagonist was 5.9 (+/- 2.0), 5.1 (+/- 1.5) and 6.1 (+/- 1.1). At the end of follow-up, it decreased to 3.3 (+/- 1.6; Delta = -2.6; p > 0.0001), 4.2 (+/- 1.5; Delta = -1.1; p = 0.0001) and 5.4 (+/- 1.7; Delta = -0.7; p = 0.06). For the first TNF antagonist, DAS-28-based EULAR response level was good in 42% and moderate in 33% of patients. The second TNF antagonist yielded a good response in 20% and no response in 53% of patients, while the third one yielded a good response in 28% and no response in 72%. Mean baseline HAQ on starting the first, second and third TNF antagonist was 1.61, 1.52 and 1.87, respectively. At the end of follow-up, it decreased to 1.12 (Delta = -0.49; p < 0.0001), 1.31 (Delta = -0.21, p = 0.004) and 1.75 (Delta = -0.12; p = 0.1), respectively. Sixty four percent of patients had a clinically important improvement in HAQ (defined as > or = -0.22) with the first TNF antagonist and 46% with the second. CONCLUSION: A clinically significant effect size was seen in less than half of RA patients cycling to a second TNF antagonist.