Research Article

Metabolomics of Hydrazine-Induced Hepatotoxicity in Rats for Discovering Potential Biomarkers

Table 2

Identified potential biomarkers related to perturbations of hydrazine-induced liver injury.

Biological sampleRT (min)m/zElemental compositionMetabolite identificationMS/MS fragmentscVIPd (trend) valuee

Serum2.19130.0512C5H8NO3+Pyroglutamic acidb84.04491.03 ↑2.33E − 09
Serum1.22132.0770C4H10N3O2+Creatinea,b90.0555, 87.0791, 72.05654.25 ↑9.83E − 11
Serum1.26144.1029C7H14NO2+Prolinebetaineb102.0556, 84.08121.36 ↓3.44E − 14
Serum1.16162.1129C7H16NO3+L-Carnitinea,b103.0377, 85.02771.45 ↑3.15E − 13
Serum1.14198.0861C8H12N3O3+N-Acetylhistidineb153.0890, 138.05481.62 ↑1.86E − 20
Serum1.80204.1243C9H18NO4+L-Acetylcarnitineb144.1032, 85.08701.25 ↓1.28E − 06
Serum5.20205.0990C11H13N2O2+Tryptophana,b188.0704, 146.0612, 118.06732.30 ↑1.21E − 09
Serum/urine2.62182.0803C9H12NO3+Tyrosinea,b165.0548, 136.0760, 123.0449, 119.04905.38/2.28 ↑1.77E − 06/9.94E − 04
Urine1.51127.0490C5H7N2O2+Thymineb84.04441.11 ↓5.05E − 11
Urine1.69130.0857C6H12NO2+Pipecolic acidb84.08082.28 ↓9.68E − 06
Urine1.21138.0534C7H8NO2+Trigonellineb94.0650, 78.0332, 67.04071.96 ↓3.43E − 12
Urine4.02144.0660C6H11NO3+Vinylacetylglycineb99.0680, 98.0568, 86.06007.35 ↑1.55E − 05
Urine1.70146.0913C5H12N3O2+4-Guanidinobutanoic acidb111.0566, 87.0440, 86.0584, 69.03262.42 ↓1.14E − 06
Urine11.1162.0532C9H8NO2+Indole-3-carboxylic acidb144.0414, 116.0463, 89.03821.62 ↓2.00E − 09
Urine4.09184.0590C8H10NO4+4-Pyridoxic acidb166.0469, 148.04001.41 ↓4.19E − 14
Urine6.91185.1245C5H16NO4P+Phosphorylcholineb126.09021.55 ↓7.13E − 08
Urine7.97188.0692C11H10NO2+Indoleacrylic acidb142.06511.05 ↑1.71E − 06
Urine8.82190.0482C10H8NO3+Kynurenic acida,b162.0527, 144.0431, 116.0464, 89.03571.86 ↓2.86E − 15
Urine8.16206.0430C10H8NO4+Xanthurenic acidb178.0462, 160.0367, 132.04152.22 ↓9.00E − 06

aMetabolites confirmed using standard compounds. bMetabolites confirmed by literature or database searches and MS fragmentation. cMS/MS fragments were obtained with a CE of 30/10 eV, respectively. dVIP is variable importance in the projection obtained from OPLS-DA with a threshold of 1.0. ep value of the independent t-test between the control and model group.