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Differential correlation network analysis identified novel metabolomics signatures for non-responders to total joint replacement in primary osteoarthritis patients.


ABSTRACT: INTRODUCTION:Up to one third of total joint replacement patients (TJR) experience poor surgical outcome. OBJECTIVES:To identify metabolomic signatures for non-responders to TJR in primary osteoarthritis (OA) patients. METHODS: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. RESULTS:Differential correlation networks involving 12 metabolites and 23 metabolites were identified for pain non-responders and function non-responders, respectively. CONCLUSION:The differential networks suggest that inflammation, muscle breakdown, wound healing, and metabolic syndrome may all play roles in TJR response, warranting further investigation.

SUBMITTER: Costello CA 

PROVIDER: S-EPMC7183485 | BioStudies | 2020-01-01

REPOSITORIES: biostudies

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