Ontology highlight
ABSTRACT: Objective
To better understand the pathogenesis of knee osteoarthritis (OA) through identification of serum diagnostics.Design
We conducted multiple reaction monitoring mass spectrometry analysis of 107 peptides in baseline sera of two cohorts: the Foundation for National Institutes of Health (NIH) (n = 596 Kellgren-Lawrence (KL) grade 1-3 knee OA participants); and the Johnston County Osteoarthritis Project (n = 127 multi-joint controls free of radiographic OA of the hands, hips, knees (bilateral KL=0), and spine). Data were split into (70%) training and (30%) testing sets. Diagnostic peptide and clinical data predictors were selected by random forest (RF); selection was based on association (p < 0.05) with OA status in multivariable logistic regression models. Model perfo
SUBMITTER: Kraus VB
PROVIDER: S-EPMC10925913 | biostudies-literature | 2024 Mar
REPOSITORIES: biostudies-literature