Aims:
Age-related multimorbidity, especially in musculoskeletal diseases such as osteoarthritis, rheumatoid arthritis, axial spondylarthritis, psoriatic arthritis, systemic lupus erythematosus, systemic sclerosis, gout, tendinopathy, osteoporosis, and degenerative spine disease, is a growing global concern. This study leverages the extensive UK Biobank (UKB) dataset, which includes lifestyle, genetic, imaging, and biochemical data, to examine the burden and trajectory of musculoskeletal multimorbidity in middle-aged and older European populations. By integrating MRI data, muscle function assessments, body composition analysis, and serum biomarkers, we aim to explore the complex interactions between these diseases and their collective impact on health outcomes.
Scientific rationale:
The UK Biobank offers unparalleled data resources to explore the relationships between lifestyle factors, genetics, and chronic diseases. In musculoskeletal disease research, UKB provides detailed imaging (MRI), muscle function measures, and serum biomarkers related to inflammation, muscle, and bone health. Previous research has focused on individual conditions like osteoarthritis and rheumatoid arthritis, but UKB’s longitudinal data enable a comprehensive analysis of musculoskeletal multimorbidity, including the combined effects of conditions like psoriatic arthritis, gout, and degenerative spine disease. This study will elucidate how these diseases and biomarkers interact over time, offering new insights into their cumulative impact on well-being.