Peripheral Blood DNA Methylation-Based Machine Learning Models for Prediction of Knee Osteoarthritis Progression: Biologic Specimens and Data From the Osteoarthritis Initiative and Johnston County Osteoarthritis Project.
Christopher M DunnCassandra SturdyCassandra VelascoLeoni SchluppEmmaline PrinzVladislav IzdaLiubov ArbeevaYvonne M GolightlyAmanda E NelsonMatlock A JeffriesPublished in: Arthritis & rheumatology (Hoboken, N.J.) (2022)
Our data suggest that pain and structural progression share similar early systemic immune epigenotypes. Further studies should focus on evaluating the pathophysiologic consequences of differential DNA methylation and peripheral blood cell epigenotypes in individuals with knee OA.
Keyphrases
- knee osteoarthritis
- peripheral blood
- dna methylation
- machine learning
- big data
- quality improvement
- electronic health record
- genome wide
- gene expression
- rheumatoid arthritis
- chronic pain
- single cell
- pain management
- artificial intelligence
- neuropathic pain
- cell therapy
- stem cells
- data analysis
- spinal cord injury
- deep learning
- total knee arthroplasty
- postoperative pain