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. 2019 Jul 10;14(7):e0219403. doi: 10.1371/journal.pone.0219403

Table 5. OPLS analysis of metabolites with variable importance in projection for glomerular cellular component levels.

A. 12 weeks
Positive predicting variable Negative predicting variable
Metabolites VIP Metabolites VIP
Glycerol-3TMS 0.1047 ± 0.1016 Propionylglycine-TMS -0.1934 ± 0.1188
Linoleic acid-TMS 0.0832 ± 0.0825 Fructose-meto-5TMS(1) -0.1815 ± 0.0557
Sorbose-meto-5TMS(1) -0.1800 ± 0.0665
Psicose-meto-5TMS(2) -0.1663 ± 0.0464
Pantothenic acid-3TMS -0.1559 ± 0.1047
Proline-2TMS -0.1452 ± 0.1035
B. 22 weeks
Positive predicting variable Negative predicting variable
Metabolites VIP Metabolites VIP
Taurine-3TMS 0.1926 ± 0.0978 Glyoxylic acid-meto-TMS -0.0852 ± 0.0604
Taurine-13C2-3TMS 0.1916 ± 0.0998
Mannose 6-phosphate-meto-6TMS(1) 0.1806 ± 0.1347
5-Methoxytryptamine-2TMS 0.1765 ± 0.0832
Dihydroorotic acid-3TMS 0.1732 ± 0.1021
Spermidine-5TMS 0.1730 ± 0.1203
C. 32 weeks
Positive predicting variable Negative predicting variable
Metabolites VIP Metabolites VIP
Glycine-2TMS 0.1230 ± 0.1196 Cystamine-nTMS -0.1850 ± 0.1667
Dimethylglycine-TMS 0.1100 ± 0.0883 5-Oxoproline-2TMS -0.1787 ± 0.1074
Boric acid-3TMS 0.1066 ± 0.0842 Tryptophan-3TMS -0.1754 ± 0.1232
Xylitol-5TMS 0.0725 ± 0.0449 Hypoxanthine-2TMS -0.1650 ± 0.1068
Xanthine-3TMS -0.1329 ± 0.0911
Rhamnose-4TMS(1) -0.1312 ± 0.1015

Data are the mean ± SEM. VIP means variable importance in projection, which was calculated in OPLS analyses using SIMCA.