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

• Main Authors: Abubakar, Sha'aban, Hadzliana, Zainal, Nor Azlina, Khalil, Fatimatuzzahra', Abd Aziz, Ch'ng, Ewe Seng *, Teh, Chin Hoe, Mustapha, Mohammed, Baharudin, Ibrahim
• Format: Article
• Published: MDPI 2022
• Subjects: RM Therapeutics. Pharmacology; RS Pharmacy and materia medica
• Online Access: http://eprints.sunway.edu.my/3040/; https://doi.org/10.3390/molecules27072126

Background: 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. Methods: Pre-dosed urine samples...