Differential correlation network analysis identified novel metabolomics signatures for non-responders to total joint replacement in primary osteoarthritis patients.
Metabolomics
; 16(5): 61, 2020 04 25.
Article
en En
| MEDLINE
| ID: mdl-32335722
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.Palabras clave
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Osteoartritis
/
Artroplastia de Reemplazo
/
Metabolómica
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Metabolomics
Año:
2020
Tipo del documento:
Article
País de afiliación:
Canadá