Genetic risk score predicting risk of rheumatoid arthritis phenotypes and age of symptom onset

Background

Cumulative genetic profiles can help identify individuals at high-risk for developing RA. We examined the impact of 39 validated genetic risk alleles on the risk of RA phenotypes characterized by serologic and erosive status.

Methods/Principal Findings

We evaluated single nucleotide polymorphisms at 31 validated RA risk loci and 8 Human Leukocyte Antigen alleles among 542 Caucasian RA cases and 551 Caucasian controls from Nurses'' Health Study and Nurses'' Health Study II. We created a weighted genetic risk score (GRS) and evaluated it as 7 ordinal groups using logistic regression (adjusting for age and smoking) to assess the relationship between GRS group and odds of developing seronegative (RF− and CCP−), seropositive (RF+ or CCP+), erosive, and seropositive, erosive RA phenotypes. In separate case only analyses, we assessed the relationships between GRS and age of symptom onset.In 542 RA cases, 317 (58%) were seropositive, 163 (30%) had erosions and 105 (19%) were seropositive with erosions. Comparing the highest GRS risk group to the median group, we found an OR of 1.2 (95% CI = 0.8–2.1) for seronegative RA, 3.0 (95% CI = 1.9–4.7) for seropositive RA, 3.2 (95% CI = 1.8–5.6) for erosive RA, and 7.6 (95% CI = 3.6–16.3) for seropositive, erosive RA. No significant relationship was seen between GRS and age of onset.

Conclusions/Significance

Results suggest that seronegative and seropositive/erosive RA have different genetic architecture and support the importance of considering RA phenotypes in RA genetic studies.     

Fish consumption and risk of rheumatoid arthritis: a dose-response meta-analysis

Introduction

The association between fish consumption and rheumatoid arthritis (RA) is unclear. The aim of this paper was to summarize the available evidence on the association between fish consumption and risk of RA using a dose-response meta-analysis.

Methods

Relevant studies were identified by a search of MEDLINE and EMBASE through December 2013, with no restrictions. A random-effects dose-response meta-analysis was conducted to combine study specific relative risks. Potential non-linear relation was investigated using restricted cubic splines. A stratified analysis was conducted by study design.

Results

Seven studies (four case-controls and three prospective cohorts) involving a total of 174 701 participants and 3346 cases were included in the meta-analysis. For each one serving per week increment in fish consumption, the relative risk (RR) of RA was 0.96 (95% confidence interval (CI) 0.91 to 1.01). Results did not change when stratifying by study design. No heterogeneity or publication bias was observed. When fish consumption was modeled using restricted cubic splines, the risk of RA was 20 to 24% lower for 1 up to 3 servings per week of fish (RR =0.76, 95% CI: 0.57 to 1.02) as compared to never consumption.

Conclusions

Results from this dose-response meta-analysis showed a non-statistically significant inverse association between fish consumption and RA.     

Genome-wide meta-analysis for rheumatoid arthritis

Meta-analysis is being increasingly used as a tool for integrating data from different studies of complex phenotypes, because the power of any one study to identify causal loci is limited. We applied a novel meta-analytical approach (Loesgen et al. in Genet Epidemiol 21(Suppl 1):S142–S147, 2001) in compiling results from four studies of rheumatoid arthritis in Caucasians including two studies from NARAC (Jawaheer et al. in Am J Hum Genet 68:927–936, 2001; Jawaheer et al. in Arthritis Rheum 48:906–916, 2003), one study from the UK (MacKay et al. in Arthritis Rheum 46:632–639, 2001) and one from France (Cornelis et al. in Proc Natl Acad Sci USA 95:10746–10750, 1998). For each study, we obtained NPL scores by performing interval mapping (2 cM intervals) using GeneHunter2 (Kruglyak et al. in Am J Hum Genet 58:1347–1363, 1996; Markianos et al. in Am J Hum Genet 68:963–977, 2001). The marker maps differed among the three consortium groups, therefore, the marker maps were aligned after the interval mapping was completed and the NPL scores that were within 1 cM of each other were combined using the method of Loesgen et al. (Genet Epidemiol 21(Suppl 1):S142–S147, 2001) by calculating the weighted average of the NPL score. This approach avoids some problems in analysis encountered by using GeneHunter2 when some markers in the sample are not genotyped. This procedure provided marginal evidence (P<0.05) of linkage on chromosome 1, 2, 5 and 18, strong evidence (P<0.01) on chromosomes 8 and 16, and overwhelming evidence in the HLA region of chromosome 6.     

Influence of BLK polymorphisms on the risk of rheumatoid arthritis

B cell lymphocyte kinase (BLK) encodes a member of the Src kinase family and thus may influence the proliferation and differentiation of cells. A single nucleotide polymorphism (SNP) located in the first intron of BLK has shown that the risk C allele of rs2248932 is associated with lower levels of messenger RNA expression of BLK. We hypothesized that this polymorphism may contribute to rheumatoid arthritis (RA) susceptibility. We studied BLK rs2248932 T/C gene polymorphisms in 329 patients with RA and 697 controls in a Chinese population. Genotyping was done using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). When the BLK rs2248932 TT homozygote genotype was used as the reference group, the CC genotype was associated with a significantly increased risk of RA. In the recessive model, when the BLK rs2248932 TT/TC genotypes were used as the reference group, the CC homozygote genotype was associated with a significantly increased susceptibility to RA. In stratification analyses, a significantly increased risk for RA associated with the BLK rs2248932 CC genotype was evident among younger patients, CRP-negative patients and anti-CCP-positive patients compared with the BLK rs2248932 TT/TC genotype. The risk was also significantly evident among RF-positive patients, patients with lower ESR levels, patients with lower or higher DAS28 score and patients with a lower functional class. These findings suggested that the functional SNP BLK rs2248932 T/C variant allele was associated with RA development. However, our results were obtained from a moderate-sized sample, and therefore this is a preliminary conclusion. Validation in a larger study from a more diverse ethnic population is needed to confirm these findings.     

Profiling microRNAs in individuals at risk of progression to rheumatoid arthritis

Background

Individuals at risk of rheumatoid arthritis (RA) demonstrate systemic autoimmunity in the form of anti-citrullinated peptide antibodies (ACPA). MicroRNAs (miRNAs) are implicated in established RA. This study aimed to (1) compare miRNA expression between healthy individuals and those at risk of and those that develop RA, (2) evaluate the change in expression of miRNA from “at-risk” to early RA and (3) explore whether these miRNAs could inform a signature predictive of progression from “at-risk” to RA.

Methods

We performed global profiling of 754 miRNAs per patient on a matched serum sample cohort of 12 anti-cyclic citrullinated peptide (CCP)?+?“at-risk” individuals that progressed to RA. Each individual had a serum sample from baseline and at time of detection of synovitis, forming the matched element. Healthy controls were also studied. miRNAs with a fold difference/fold change of four in expression level met our primary criterion for selection as candidate miRNAs. Validation of the miRNAs of interest was conducted using custom miRNA array cards on matched samples (baseline and follow up) in 24 CCP+ individuals; 12 RA progressors and 12 RA non-progressors.

Results

We report on the first study to use matched serum samples and a comprehensive miRNA array approach to identify in particular, three miRNAs (miR-22, miR-486-3p, and miR-382) associated with progression from systemic autoimmunity to RA inflammation. MiR-22 demonstrated significant fold difference between progressors and non-progressors indicating a potential biomarker role for at-risk individuals.

Conclusions

This first study using a cohort with matched serum samples provides important mechanistic insights in the transition from systemic autoimmunity to inflammatory disease for future investigation, and with further evaluation, might also serve as a predictive biomarker.

     

Investigating multiple dysregulated pathways in rheumatoid arthritis based on pathway interaction network

The traditional methods of identifying biomarkers in rheumatoid arthritis (RA) have focussed on the differentially expressed pathways or individual pathways, which however, neglect the interactions between pathways. To better understand the pathogenesis of RA, we aimed to identify dysregulated pathway sets using a pathway interaction network (PIN), which considered interactions among pathways. Firstly, RA-related gene expression profile data, protein–protein interactions (PPI) data and pathway data were taken up from the corresponding databases. Secondly, principal component analysis method was used to calculate the pathway activity of each of the pathway, and then a seed pathway was identified using data gleaned from the pathway activity. A PIN was then constructed based on the gene expression profile, pathway data, and PPI information. Finally, the dysregulated pathways were extracted from the PIN based on the seed pathway using the method of support vector machines and an area under the curve (AUC) index. The PIN comprised of a total of 854 pathways and 1064 pathway interactions. The greatest change in the activity score between RA and control samples was observed in the pathway of epigenetic regulation of gene expression, which was extracted and regarded as the seed pathway. Starting with this seed pathway, one maximum pathway set containing 10 dysregulated pathways was extracted from the PIN, having an AUC of 0.8249, and the result indicated that this pathway set could distinguish RA from the controls. These 10 dysregulated pathways might be potential biomarkers for RA diagnosis and treatment in the future.     

Prospective assessment of cardiovascular risk parameters in patients with rheumatoid arthritis

Background

The study presents a prospective follow-up assessment of cardiovascular (CV) risk parameters in patients with rheumatoid arthritis (RA) in comparison with control subjects.

Methods

The study group consisted of 41 RA patients. The following parameters were assessed at subsequent visits [initial (T0), follow-up after 6 years (T6)]: traditional CV risk factors, carotid intima media thickness (cIMT), QTc duration, serum concentration of amino-terminal pro-brain natriuretic peptide (NT-proBNP). A comparative cIMT assessment was performed on 23 healthy controls of comparable age.

Results

The mean (SD) cIMT value in RA patients was significantly higher at T6 than at T0 [0.87 (0.21) vs 0.76 (0.15) mm, p?<?0.001], the increase in patients with atherosclerotic plaques was noted. Patients with plaques were significantly older, had higher inflammatory parameters. The mean cIMT was significantly higher in RA patients than in controls at both T6, T0 visits. Certain traditional CV risk factors exacerbated during follow up. Unfavorable metabolic parameters and significantly higher cIMT were found in male patients than in female patients at T6. During follow-up, no significant differences in NT-proBNP, QTc were found. There were no significant relationships between cIMT, NT-proBNP, QTc and parameters of disease activity at T6.

Conclusions

During the 6-year course of established RA, significant exacerbation of atherosclerosis was found, revealed by higher cIMT. A careful monitoring should be applied to patients with atherosclerotic plaques and of male gender due to higher burden of CV risk. In long-standing disease, traditional CV risk factors seem to play a key role, beyond the inflammatory activity.

     

Biomarkers of endothelial dysfunction,cardiovascular risk factors and atherosclerosis in rheumatoid arthritis

Cardiovascular event rates are markedly increased in rheumatoid arthritis (RA), and RA atherogenesis remains poorly understood. The relative contributions of traditional and nontraditional risk factors to cardiovascular disease in RA await elucidation. The present study comprises three components. First, we compared biomarkers of endothelial dysfunction (vascular cell adhesion molecule [VCAM]-1, intercellular adhesion molecule [ICAM]-1 and endothelial leucocyte adhesion molecule [ELAM]-1) in 74 RA patients and 80 healthy control individuals before and after controlling for traditional and nontraditional cardiovascular risk factors, including high-sensitivity C-reactive protein (hs-CRP), IL-1, IL-6 and tumor necrosis factor-α. Second, we investigated the potential role of an extensive range of patient characteristics in endothelial dysfunction in the 74 RA patients. Finally, we assessed associations between biomarkers of endothelial dysfunction and ultrasonographically determined common carotid artery intima–media thickness and plaque in RA. The three biomarkers of endothelial dysfunction, as well as hs-CRP, IL-1, IL-6 and tumor necrosis factor-α, were higher in patients than in control individuals (P < 0.0001). Patients were also older, exercised less and had a greater waist circumference, blood pressure and triglyceride levels (P ≤ 0.04). Five patients had diabetes. Differences in endothelial function were no longer significant between patients and controls (P = 0.08) only after both traditional and nontraditional cardiovascular risk factors were controlled for. In the 74 RA patients, IL-6 predicted levels of all three biomarkers (P ≤ 0.03), and rheumatoid factor titres and low glomerular filtration rate (GFR) both predicted levels of VCAM-1 and ICAM-1, independent of traditional cardiovascular risk factors (P ≤ 0.02). VCAM-1 was associated with common carotid artery intima–media thickness (P = 0.02) and plaque (P = 0.04) in RA. Patients had impaired endothelial function, less favourable traditional cardiovascular risk factor profiles, and higher circulating concentrations of hs-CRP and cytokines compared with healthy control individuals. Both traditional and nontraditional cardiovascular risk factors contributed to the differences in endothelial function between RA patients and healthy control individuals. IL-6, rheumatoid factor titres and low GFR were independently predictive of endothelial dysfunction in RA. Disease-modifying agents that effectively suppress both cytokine and rheumatoid factor production, and interventions aimed at preserving renal function may attenuate cardiovascular risk in RA.     

Current and future management approaches for rheumatoid arthritis

With the introduction of new disease-modifying antirheumatic drugs (DMARDs) and other therapeutic agents, the management of rheumatoid arthritis (RA) has shifted toward earlier, more aggressive therapy. The ultimate goal is to prevent structural joint damage that leads to pain and functional disability. Early diagnosis of RA is therefore essential, and early DMARD treatment combined with nonsteroidal anti-inflammatory drugs is recommended. Combination DMARD regimens and new biologic agents (anti-tumor necrosis factor [TNF] therapies [infliximab, etanercept] and the interleukin [IL]-1 antagonist [anakinra]) have emerged as viable options for early treatment of RA patients. These new biologic agents and future nonbiologic agents that target proteins in signaling cascades are likely to change the landscape of RA treatments.     

Protein,iron, and meat consumption and risk for rheumatoid arthritis: a prospective cohort study

A recent prospective study showed that higher consumption of red meat and total protein was associated with increased risk for inflammatory polyarthritis. We therefore prospectively examined the relationship between diet (in particular, protein, iron, and corresponding food sources) and incident rheumatoid arthritis (RA) among 82,063 women in the Nurses' Health Study. From 1980 to 2002, 546 incident cases of RA were confirmed by a connective tissue disease screening questionnaire and medical record review for American College of Rheumatology criteria for RA. Diet was assessed at baseline in 1980 and five additional times during follow up. We conducted Cox proportional hazards analyses to calculate the rate ratio of RA associated with intakes of protein (total, animal, and vegetable) and iron (total, dietary, from supplements, and heme iron) and their primary food sources, adjusting for age, smoking, body mass index, and reproductive factors. The multivariate models revealed no association between RA and any measure of protein or iron intake. In comparisons of highest with lowest quintiles of intake, the rate ratio for total protein was 1.17 (95% confidence interval 0.89–1.54; P for trend = 0.11) and for total iron it was 1.04 (95% confidence interval 0.77–1.41; P for trend = 0.82). Red meat, poultry, and fish were also not associated with RA risk. We were unable to confirm that there is an association between protein or meat and risk for RA in this large female cohort. Iron was also not associated with RA in this cohort.