Fisher Discrimination of Metabolic Changes in Rats Treated with Aspirin and Ibuprofen.

Abstract:

BACKGROUND:Aspirin and ibuprofen are the most frequently prescribed non-steroidal anti-inflammatory drugs in the world. However, both are associated with a variety of toxicities. We applied serum metabonomics and Fisher discrimination for the early diagnosis of its toxic reaction in order to help diagnose these toxicities. METHODS:A total of 45 rats were randomly divided into Control group, Aspirin group, and Ibuprofen groups. The experiment groups were given intragastric aspirin (15 mg/kg) or ibuprofen (15 mg/kg) for 3 weeks. Liver function tests were performed and blood metabonomics were analyzed by gas chromatography-mass spectrometry. RESULTS:The most important compounds altered were trihydroxybutyric acid and l-alanine in the aspirin group, and acetoacetic acid, l-alanine, and trihydroxybutyric acid in the ibuprofen group. With respect to metabolic profiles, all 3 groups were completely distinct from one another. Fisher discrimination showed that 91.1% of the original grouped cases were correctly classified by the third week. However, only 55.6% of liver function tests were able to classify grouped cases correctly. CONCLUSION:Trihydroxybutyric acid, l-alanine, and acetoacetic acid were the most significant indicators of altered serum metabolites following intragastric administration of aspirin and ibuprofen in rates. These metabolomic data may be used for classification of aspirin and ibuprofen toxicity.

journal_name

Pharmacology

journal_title

Pharmacology

authors

Zhang J,Song H,Jiang S,Chen Z,Tong S,Lin F,Wen C,Zhang X,Hu L

doi

10.1159/000477971

subject

Has Abstract

pub_date

2017-01-01 00:00:00

pages

194-200

issue

3-4

eissn

0031-7012

issn

1423-0313

pii

000477971

journal_volume

100

pub_type

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