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. 2018 Apr 4;2018:9281946. doi: 10.1155/2018/9281946

Table 1.

Potential biomarkers in samples and corresponding metabolic pathways.

Number RT Mass Biomarker 
identification
KEGG Change trend Pathway
Trenda Trendb
(1) 15.64 329.3297 Dihydroceramide C12126 Sphingolipid metabolism
(2) 28.35 563.441 Ceramide C00195 Sphingolipid metabolism
(3) 29.94 701.2065 PC(16:1(9Z)/14:1(9Z)) C00416 Glycerophospholipid 
metabolism
(4) 18.39 569.3487 LysoPC (22:5) C04230 Glycerophospholipid 
metabolism
(5) 26.68 296.2828 Thromboxane A2 C02198 Arachidonic acid metabolism
(6) 26.68 255.2564 Nicotinamide riboside C03150 Nicotinate and nicotinamide 
metabolism
(7) 0.68 220.1793 5-HTP C00643 Tryptophan metabolism

Note. aTrends of model group compared with normal group of metabolites. p < 0.05 compared to normal group. bTrends of Uncaria group compared with model group of metabolites. p < 0.05 compared to model group. ↑: upregulated. ↓: downregulated.