Figure 2

Feasibility of predicting Alzheimer's disease (AD), based on concentrations of three metabolites (2,4-dihydroxybutanoic acid, unidentified carboxylic acid, phosphatidylcholine (PC (16:0/16:0)) in subjects at baseline, who were diagnosed with mild cognitive impairment (MCI). (a) The characteristics of the model were determined by independent testing in one out of three of the sample across 2000 cross-validation runs. (b) Beanplots of the three metabolites included in the model. (c) Two-dimensional gas chromatography coupled to time-of-flight mass spectrometry (GC × GC–TOFMS) spectra of the two metabolites included in the model, 2,4-dihydroxybutanoic acid and an unidentified carboxylic acid. Acc=classification accuracy; AUC=area under the receiver operating characteristic (ROC) curve; OR=odds ratio.