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

Costello Christie A.; Hu Ting; Liu MingZhang WeidongFurey AndrewFan ZhaozhiRahman ProtonRandell Edward W.Zhai Guangju

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

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

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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.

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《Metabolomics :》 |2020年第5期|共8页
作者
Costello Christie A.; Hu Ting; Liu MingZhang WeidongFurey AndrewFan ZhaozhiRahman ProtonRandell Edward W.Zhai Guangju;
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作者单位

Mem Univ Newfoundland, Discipline Genet, Fac Med, St John, NF A1B 3V6, Canada;

Mem Univ Newfoundland, Dept Comp Sci, Fac Sci, St John, NF, Canada;

Mem Univ Newfoundland, Div Orthopaed Surg, Fac Med, St John, NF, CanadaMem Univ Newfoundland, Discipline Med, Fac Med, St John, NF, CanadaMem Univ Newfoundland, Dept Math & Stat, Fac Sci, St John, NF, CanadaMem Univ Newfoundland, Discipline Lab Med, Fac Med, St John, NF, Canada;

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正文语种英语
中图分类生理学;
关键词
Osteoarthritis; Total joint replacement; Biomarkers; Metabolomics; Network analysis;

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

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