Prediction of Low-Dose Aspirin-Induced Gastric Toxicity Using Nuclear Magnetic Resonance Spectroscopy-Based Pharmacometabolomics in Rats

Authors : Abubakar Sha'aban, Hadzliana Zainal, Nor Azlina Khalil, Fatimatuzzahra' Abd Aziz, Ewe Seng Ch'ng, Chin-Hoe Teh, Mustapha Mohammed, Baharudin Ibrahim
Title of Publication : Prediction of Low-Dose Aspirin-Induced Gastric Toxicity Using Nuclear Magnetic Resonance Spectroscopy-Based Pharmacometabolomics in Rats
Journal Name : Molecules
Quartile : Q2
Impact Factor : 4.412
Link : https://mdpi-res.com/d_attachment/molecules/molecules-27-02126/article_deploy/molecules-27-02126.pdf?version=1648201190
Description : Low-dose aspirin (LDA) is the backbone for secondary prevention of coronary artery disease, although limited by gastric toxicity. This study aimed to identify novel metabolites that could predict LDA-induced gastric toxicity using pharmacometabolomics. The study identified metabolic signatures that correlated with the development of a low-dose Aspirin-induced gastric toxicity in rats. This pharmacometabolomic approach could further be validated to predict LDA-induced gastric toxicity in patients with coronary artery disease.