Serum branched-chain amino acid to histidine ratio: a novel metabolomic biomarker of knee osteoarthritis

Guangju Zhai, Rui Wang-Sattler, Deborah J. Hart, Nigel K. Arden, Alan J. Hakim, Thomas Illig, Tim D. Spector

Research output: Contribution to journalArticlepeer-review

146 Citations (Scopus)

Abstract

Objective There is a pressing need to develop reliable molecular biomarkers in osteoarthritis. The aim of the study was to identify novel serum biomarkers for osteoarthritis using a metabolomics approach. Methods A two-stage study design was utilised. 123 knee osteoarthritis cases and 299 controls were selected from the TwinsUK cohort as a discovery sample. 76 knee osteoarthritis cases and 100 controls from the Chingford Study were used as replication. Knee osteoarthritis was defined as either radiographic, medically diagnosed or total knee joint replacement due to primary osteoarthritis. All the subjects were unrelated white women. Their serum samples were assessed for targeted metabolite profiling by electrospray ionisation tandem mass spectrometry using the AbsoluteIDQ kit. 163 serum metabolites were assessed and their concentrations obtained. The ratios of metabolite concentrations as proxies for enzymatic reaction rates were calculated and tested for the association with knee osteoarthritis. Significance was assessed after adjustment for multiple testing (Bonferroni method) and potential confounders. Results In the discovery stage, the authors identified 14 ratios significantly associated with knee osteoarthritis with p
Original languageEnglish
Pages (from-to)1227 - 1231
Number of pages5
JournalAnnals of the Rheumatic Diseases
Volume69
Issue number6
DOIs
Publication statusPublished - Jun 2010

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