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Table 3 Metabolites significantly correlating with assay read-out overlap with metabolites significantly correlating with galactose

From: Measurement of 1,5-anhydroglucitol in blood and saliva: from non-targeted metabolomics to biochemical assay

Metabolite Biochemical class Correlation with assay read-out Correlation with galactose lm(AG_Sal_H ~ met + galactose)
r2 p r2 p p
Galactose Carbohydrate 0.704 4.7 × 10−23 – – –
N-acetylglucosamine Carbohydrate 0.436 9.2 × 10−12 0.787 7.8 × 10−29 2.5 × 10−03
Fucose Carbohydrate 0.376 5.4 × 10−10 0.542 3.1 × 10−15 0.99
Xylose Carbohydrate 0.318 2.5 × 10−08 0.506 6.1 × 10−14 0.47
Mannose Carbohydrate 0.276 2.3 × 10−07 0.396 1.4 × 10−10 0.97
O-acetylserine Amino acid 0.355 1.9 × 10−06 0.524 7.9 × 10−10 0.84
Putrescine Amine 0.234 2.5 × 10−06 0.451 3.0 × 10−12 0.09
Ribose Carbohydrate 0.232 2.7 × 10−06 0.403 9.0 × 10−11 0.31
1,2-propanediol Lipid 0.200 1.5 × 10−05 0.279 2.0 × 10−07 0.89
X-14904 Unknown 0.186 3.0 × 10−05 NS NS 2.2 × 10−04
X-18059 Unknown 0.186 3.1 × 10−05 NS NS 5.9 × 10−04
Lysylproline Peptide 0.185 3.3 × 10−05 0.413 4.5 × 10−11 0.02
  1. The association trend was positive for all significantly correlating metabolites. We analysed correlation of those metabolites with galactose, which correlation with assay read-out was the strongest. No significance in correlation between metabolites and galactose is expressed as NS. We applied linear regression (lm) of 1,5-AG measured with Glycomark (AG_Sal_H) against 1,5-AG measured on non-targeted metabolomics platform (AG_Sal_M) and corrected on the covariate (met), listed in the “Metabolite name” column. Metabolites with similar chemical structure to 1,5-AG are highlighted in italics
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