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. 2018 Aug 28;9:955. doi: 10.3389/fphar.2018.00955

Table 3.

Potential urinary biomarkers of SXT treated type 2 diabetes rats.

tR min m/z HMDB ID VIP Metabolite Trenda KEGG pathway
4.34 302.3177 00269 1.78 Sphinganine Sphingolipid metabolism
3.00 162.0587 03320 4.07 Indole-3-carboxylic acid Amino acids metabolism
9.61 227.1862 00033 1.13 Carnosine Histidine metabolism
9.45 219.1748 01238 3.14 N-Acetylserotonin Tryptophan metabolism
1.03 229.1561 00806 2.08 Myristic acid Fatty acid biosynthesis
2.26 135.0627 00156 1.62 L-Malic acid Pyruvate metabolism,TCA cycle
4.39 130.0573 01369 1.38 Pyrroline hydroxycarboxylic acid Arginine and proline metabolism
1.41 120.0829 04041 1.43 L-Allothreonine Glycine, serine and threonine metabolism
2.04 206.0295 04096 2.02 5-Methoxyindoleacetate Tryptophan metabolism
9.53 149.0436 01553 1.61 2-Oxo-4-methylthiobutanoic acid Cysteine and methionine metabolism
6.09 297.0975 10350 6.81 2-Phenylethanol glucuronide Pentose and glucuronate interconversions, Starch and sucrose metabolism
3.36 242.0066 00089 6.75 Cytidine Pyrimidine metabolism
7.51 199.1030 00638 2.52 Dodecanoic acid Fatty acid biosynthesis
3.47 134.0604 10715 5.78 2-Phenylacetamide Phenylalanine metabolism
4.35 283.0675 00299 13.67 Xanthosine Purine metabolism
7.60 357.0754 01416 3.56 Pantetheine 4′-phosphate Pantothenate and CoA biosynthesis
3.51 255.0845 06809 3.47 Nicotinate D-ribonucleoside Nicotinate and nicotinamide metabolism
3.00 178.0462 00714 8.01 Hippuric acid Phenylalanine metabolism

Trenda Models vs. Controls: ↑ indicated increase; ↓ indicated decrease.