Up to one third of total joint replacement patients (TJR) experience poor surgical outcome.
To identify metabolomic signatures for non-responders to TJR in primary osteoarthritis (OA) patients.
A newly developed differential correlation network analysis method was applied to our previously published metabolomic dataset to identify metabolomic network signatures for non-responders to TJR.
Differential correlation networks involving 12 metabolites and 23 metabolites were identified for pain non-responders and function non-responders, respectively.
The differential networks suggest that inflammation, muscle breakdown, wound healing, and metabolic syndrome may all play roles in TJR response, warranting further investigation.