Musculoskeletal diseases such as rheumatoid arthritis are complex multifactorial disorders that are chronic in nature and debilitating for patients. A number of drug families are available to clinicians to manage these disorders but few tests exist to target these to the most responsive patients. As a consequence, drug failure and switching to drugs with alternate modes of action is common. In parallel, a limited number of laboratory tests are available which measure biological indicators or 'biomarkers' of disease activity, autoimmune status, or joint damage. There is a growing awareness that assimilating the fields of drug selection and diagnostic tests into 'companion diagnostics' could greatly advance disease management and improve outcomes for patients. This review aims to highlight: the current applications of biomarkers in rheumatology with particular focus on companion diagnostics; developments in the fields of proteomics, genomics, microbiomics, imaging and bioinformatics and how integration of these technologies into clinical practice could support therapeutic decisions.

Autoimmune diseases (ADs) are currently treated with anti-inflammatory and immunosuppressive drugs, aimed at reducing symptoms of disease in order to improve quality of life for patients. However, for a significant number of patients these therapies are ineffective, leading to an increased risk of irreversible damage and eventual disability in certain cases. Growing evidence has implicated glycosylated proteins and their cognate receptors in modulation of the autoimmune response. This review will summarize these findings with particular focus on sialic acid-binding immunoglobulin-like lectin (Siglec)-1 and Siglec-2 involvement in AD. Fluctuations in these glycosylation-dependent pathways could act as sentinels of disease activity or drug responses. If validated, protein modification and cellular response markers could help clinicians achieve remission earlier.