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. 2022 Mar 9;54(1):790–802. doi: 10.1080/07853890.2022.2048064

Table 3.

Pathway enrichment analysis based on differential metabolites.

KEGG ID annotation Annotation Rich factor p-value Matching IDs
map00902 Monoterpenoid biosynthesis 0.0682 .00022228 C00400
C06076
C09844
map00622 Toluene and xylene degradation 0.0417 .00750019 C00033
C07212
map00534 Glycosaminoglycan biosynthesis-heparan sulphate 0.3333 .00818327 C00033
map00720 Reductive carboxylate cycle (CO2 fixation) 0.0625 .04290716 C00033
map00621 Biphenyl degradation 0.0435 .06111813 C06575
map00010 Glycolysis / Gluconeogenesis 0.0323 .08152337 C00033
map00660 C5-Branched dibasic acid metabolism 0.0313 .08404388 C00033
map00620 Pyruvate metabolism 0.0313 .08404388 C00033
map00450 Seleno-amino acid metabolism 0.0333 .07899619 C00033
map00430 Taurine and hypotaurine metabolism 0.0500 .05335453 C00033
map00920 Sulphur metabolism 0.0556 .04814461 C00033
map00440 Phosphonate and phosphinate metabolism 0.0222 .11621235 C00033
map00908 Zeatin biosynthesis 0.0256 .1015025 C00033
map00624 1- and 2-Methylnaphthalene degradation 0.0222 .11621235 C14082
map00140 Steroid hormone biosynthesis 0.0101 .23859889 C02373
map01062 Biosynthesis of terpenoids and steroids 0.0102 .23648811 C06076
map01110 Biosynthesis of secondary metabolites 0.0029 .55196064 C00033
C00400
C06076
map01100 Metabolic pathways 0.0021 .78425283 C00033
C06076
C07212