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Cell metabolism has long been at the forefront of tumour biology, but in the past decade the importance of cellular bioenergetics has been increasingly recognized in regulating immune cell function. Mechanistic studies in 2018 have highlighted cell metabolism as a potential therapeutic target for the treatment of rheumatoid arthritis.
In 2018, advances in the treatment of gout flares came in the form of a new nurse-led management approach to serum urate lowering and evidence that allopurinol might have a better cardiovascular safety profile than febuxostat. However, are IL-1β blockers such as canakinumab the future of care for patients with gout?
Nakazawa and colleagues describe advances in our understanding of anti-neutrophil cytoplasmic antibody-associated vasculitis. These insights have already generated promising new treatments that target B cells, T cells and cytokines; potential novel approaches targeting additional cells or molecules are also discussed.
The treatment of systemic lupus erythematosus involves a balance between control of disease activity and prevention of therapeutic harm that requires careful optimization. In this Review, the authors discuss available and emerging therapeutic strategies that exploit the current drug armamentarium.
Vitamin D is important for skeletal metabolism and calcium homeostasis, but conflicting evidence exists as to whether vitamin D supplementation has a protective effect on musculoskeletal outcomes. Do the results of a new meta-analysis bring clarity or increase confusion?
Shifts in cellular metabolism are central to activation, differentiation and proliferation of inflammatory cells and can contribute to the pathogenesis of inflammatory diseases. Integrating metabolomics data with other omics data is a major challenge but might enable clinicians to stratify stages of disease and response to therapy in patients with rheumatoid arthritis.
In osteoarthritis, identifying those patients at most risk of disease progression and/or who might benefit the most from therapy is an important step. Incorporating machine-learning into the development of prediction models has great potential for moving towards precision medicine
Gene therapy and tissue engineering strategies for the treatment of cartilage repair each pose unique challenges to clinical translation. Could combining the two approaches open new avenues for the treatment of articular cartilage defects in patients with osteoarthritis?