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 furth

SUBMITTER: Costello CA 

PROVIDER: S-EPMC7183485 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature