Multivariate Analysis of Quantified Proteins and Metabolites

For analysis of demographic data, the median value (min-max) was calculated. Wilcoxon paired test was used to compare results before and after the intervention. These statistics were performed using the statistical package IBM SPSS Statistics (version 24.0; IBM Corporation, Route 100 Somers, New York, NY, USA). A probability of <0.05 (two-tailed) was accepted as the criteria for significance. To investigate the multivariate correlation and between membership of groups and quantified proteins and metabolites orthogonal partial least square discriminant analysis (OPLS-DA) was used (SIMCA-P+ version 13.0, UMETRICS, Umeå, Sweden). Before this analysis, principal component analysis (PCA) was used to check for multivariate outliers. The procedure to compute multivariate correlation models has been described earlier [41 (link)] and is in accordance with [42 (link)].