Orthopedic and neurological diseases, such as osteoporosis, osteoarthritis, spinal disorders, Parkinson’s disease, stroke, and dementia, represent two leading causes of disability globally. These conditions frequently co-occur in older adults and may share biological mechanisms involving systemic inflammation, metabolic dysregulation, chronic pain, and impaired mobility. Despite their clinical relevance, the bidirectional relationship between musculoskeletal and neurological systems remains underexplored at the molecular level.
This project aims to investigate how orthopedic health relates to the onset and progression of neurological diseases by leveraging the UK Biobank’s extensive clinical, imaging, and multi-omics resources. We will focus on common orthopedic conditions (e.g., osteoarthritis, spine degeneration, joint replacement) and neurological disorders (e.g., Alzheimer’s disease, Parkinson’s disease, cerebrovascular disease, peripheral neuropathy), particularly in aging populations.
Using integrative analyses of genomics, proteomics, metabolomics, and brain imaging data, we will examine shared and distinct molecular signatures. Key questions include: Are there common metabolic or inflammatory pathways driving musculoskeletal and neurological degeneration? How does impaired mobility or joint damage influence brain structure or function? What role do genetic and molecular factors play in mediating musculoskeletal-neurological comorbidities?
Advanced statistical and machine learning approaches will be used to map biomarker networks and identify predictors of disease onset, paving the way for risk stratification and early intervention strategies.
