Systematic review and meta-analysis of the sero-epidemiological association between Epstein-Barr virus and rheumatoid arthritis

Acknowledgements The authors would like to thank Cynthia Fraser for helping run the literature search, Dr Neil Basu for providing advice on search terms for rheumatoid arthritis and to Xueli Jia, Katie Bannister and Kubra Boza for their help with foreign language papers. The authors would also like to thank the University of Aberdeen librarians at the Foresterhill medical library for their help in locating articles used for this systematic review and meta-analysis.Peer reviewedPublisher PD

In Vivo Fluorescence Imaging of E-Selectin: Quantitative Detection of Endothelial Activation in Arthritis

Rheumatoid arthritis (RA) is a chronic progressive systemic inflammatory disease, characterized by synovial inflammation and localized destruction of cartilage and bone. Heterogeneity in the clinical presentation of RA and uncertainty about which patients will respond to treatment makes diagnosis and management challenging. Fluorescent imaging in the near infrared (NIR) spectrum significantly decreases tissue autofluorescence offering unique potential to detect specific molecular targets in vivo. E-selectin or endothelial adhesion molecule-1 (ELAM-1), a 115kDa glycoprotein induced on endothelial cells in response to pro-inflammatory cytokines involved in RA, such as interleukin (IL)-1 beta and tumour necrosis factor alpha (TNF alpha). E-selectin has been well validated as a potential biomarker of disease activity. My study aimed to investigate whether E-selectin targeted optical imaging in vivo could be developed as a sensitive, specific and quantifiable preclinical molecular imaging technique, and also whether this approach could be used to delineate the molecular effects of novel therapies. I utilised anti-E-selectin antibody labelled with NIR fluorophore in a mouse model of paw swelling induced by intra-plantar injection of TNF alpha, and in acute collagen-induced arthritis (CIA) in DBA/1 mice, a widely used model of RA. E-selectin generated signal, localised to points of maximal clinical inflammation in the inflamed mouse paw in both models with significant differences to control antibody. Binding of anti-E-selectin antibody was also demonstrated by immunohistochemistry in both models. The ability of E-selectin targeted imaging to detect sub-clinical endothelial activation was also investigated, demonstrating that E-selectin may be an excellent way of determining subclinical vascular activation in CIA. Finally the effect of novel targeted therapy – RB200 which blocks epidermal growth factor (EGF) signalling was investigated. This demonstrated that E-selectin targeted signal could be absolutely abrogated to a level seen in unimmunised healthy control animals, following combination treatment with RB200 and the TNF alpha inhibitor etanercept. E-selectin targeted optical imaging is a viable in vivo imaging technique that can also be applied to quantify disease and investigate the effects of novel molecular therapies. It holds significant promise as a molecular imaging technique for future translation into the clinic for patients with rheumatoid arthritis and other inflammatory diseases

A genome-wide association study suggests contrasting associations in ACPA-positive versus ACPA-negative rheumatoid arthritis.

BackgroundRheumatoid arthritis (RA) can be divided into two major subsets based on the presence or absence of antibodies to citrullinated peptide antigens (ACPA). Until now, data from genome-wide association studies (GWAS) have only been published from ACPA-positive subsets of RA or from studies that have not separated the two subsets. The aim of the current study is to provide and compare GWAS data for both subsets.Methods and resultsGWAS using the Illumina 300K chip was performed for 774 ACPA-negative patients with RA, 1147 ACPA-positive patients with RA and 1079 controls from the Swedish population-based case-control study EIRA. Imputation was performed which allowed comparisons using 1,723,056 single nucleotide polymorphisms (SNPs). No SNP achieved genome-wide significance (2.9 × 10⁻⁸) in the comparison between ACPA-negative RA and controls. A case-case association study was then performed between ACPA-negative and ACPA-positive RA groups. The major difference in this analysis was in the HLA region where 768 HLA SNPs passed the threshold for genome-wide significance whereas additional contrasting SNPs did not reach genome-wide significance. However, one SNP close to the RPS12P4 locus in chromosome 2 reached a p value of 2 × 10⁶ and this locus can thus be considered as a tentative candidate locus for ACPA-negative RA.ConclusionsACPA-positive and ACPA-negative RA display significant risk allele frequency differences which are mainly confined to the HLA region. The data provide further support for distinct genetic aetiologies of RA subsets and emphasise the need to consider them separately in genetic as well as functional studies of this disease

Immunoscintigraphy for therapy decision making and follow-up of biological therapies

With the availability of new biological therapies there is the need of more accurate diagnostic tools to noninvasively assess the presence of their targets. In this scenario nuclear medicine offers many radiopharmaceuticals for SPECT or PET imaging of many pathological conditions. The availability of monoclonal antibodies provides tools to target specific antigens involved in angiogenesis, cell cycle or modulation of the immune systems. The radiolabelling of such therapeutic mAbs is a promising method to evaluate the antigenic status of each cancer lesion or inflamed sites before starting the therapy. It may also allow to perform follow-up of such biological therapies. In the present review we provide an overview of the most studied radiolabelled antibodies for therapy decision making and follow-up of patients affected by cancer and other pathological conditions

Synovial tissue macrophages: friend or foe?

Healthy synovial tissue includes a lining layer of synovial fibroblasts and macrophages. The influx of leucocytes during active rheumatoid arthritis (RA) includes monocytes that differentiate locally into proinflammatory macrophages, and these produce pathogenic tumour necrosis factor. During sustained remission, the synovial tissue macrophage numbers recede to normal. The constitutive presence of tissue macrophages in the lining layer of the synovial membrane in healthy donors and in patients with RA during remission suggests that this macrophage population may have a role in maintaining and reinstating synovial tissue homeostasis respectively. Recent appreciation of the different origins and functions of tissue-resident compared with monocyte-derived macrophages has improved the understanding of their relative involvement in organ homeostasis in mouse models of disease. In this review, informed by mouse models and human data, we describe the presence of different functional subpopulations of human synovial tissue macrophages and discuss their distinct contribution to joint homeostasis and chronic inflammation in RA

Quantitative Predictive Modelling Approaches to Understanding Rheumatoid Arthritis:A Brief Review

Rheumatoid arthritis is a chronic autoimmune disease that is a major public health challenge. The disease is characterised by inflammation of synovial joints and cartilage erosion, which lead to chronic pain, poor life quality and, in some cases, mortality. Understanding the biological mechanisms behind the progression of the disease, as well as developing new methods for quantitative predictions of disease progression in the presence/absence of various therapies is important for the success of therapeutic approaches. The aim of this study is to review various quantitative predictive modelling approaches for understanding rheumatoid arthritis. To this end, we start by briefly discussing the biology of this disease and some current treatment approaches, as well as emphasising some of the open problems in the field. Then, we review various mathematical mechanistic models derived to address some of these open problems. We discuss models that investigate the biological mechanisms behind the progression of the disease, as well as pharmacokinetic and pharmacodynamic models for various drug therapies. Furthermore, we highlight models aimed at optimising the costs of the treatments while taking into consideration the evolution of the disease and potential complications.Publisher PDFPeer reviewe

Editorial: choosing new targets for rheumatoid arthritis therapeutics: too interesting to fail?

No abstract available

The role of proteases in pathologies of the synovial joint

Synovial (diarthrodial) joints are employed within the body to provide skeletal mobility and have a characteristic structure adapted to provide a smooth almost frictionless surface for articulation. Pathologies of the synovial joint are an important cause of patient morbidity and can affect each of the constituent tissues. A common feature of these pathologies is degenerative changes in the structure of the tissue which is mediated, at least in part, by proteolytic activity. Most tissues of the synovial joint are composed primarily of extracellular matrix and key pathological roles in the degeneration of this matrix are performed by metalloproteinases such as matrix metallproteinases (MMPs) and a disintegrin and metalloproteinase with thrombospondin motifs (ADAMTS). However, other proteases such as cathepsin K are likely to play an important role, especially in bone turnover. In addition to the cleavage of structural proteins, proteolytic activities are employed to regulate the activity of other proteases, growth factors, cytokines and other inflammatory mediators. Proteases combine to form complex regulatory networks, the correct functioning of which is required for tissue homeostasis and the imbalance of which may be a feature of pathology. A precise understanding of the proteases involved in these networks is required for a true understanding of the associated pathology