Osteopenia-osteoporosis discrimination in postmenopausal women by 1H NMR-based metabonomics

T A Pontes, A D Barbosa, R D Silva, M R Melo-Junior and R O Silva

PLOS ONE, 2019, vol. 14, issue 5, 1-10

Abstract: This is a report on how 1H NMR-based metabonomics was employed to discriminate osteopenia from osteoporosis in postmenopausal women, identifying the main metabolites associated to the separation between the groups. The Assays were performed using seventy-eight samples, being twenty-eight healthy volunteers, twenty-six osteopenia patients and twenty-four osteoporosis patients. PCA, LDA, PLS-DA and OPLS-DA formalisms were used. PCA discriminated the samples from healthy volunteers from diseased patient samples. Osteopenia-osteoporosis discrimination was only obtained using Analysis Discriminants formalisms, as LDA, PLS-DA and OPLS-DA. The metabonomics model using LDA formalism presented 88.0% accuracy, 88.5% specificity and 88.0% sensitivity. Cross-Validation, however, presented some problems as the accuracy of modeling decreased. LOOCV resulted in 78.0% accuracy. The OPLS-DA based model was better: R2Y and Q2 values equal to 0.871 (p

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0217348

DOI: 10.1371/journal.pone.0217348

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