Identification Of Low Molecular Weight Metabolites That Can Predict Low Dose Aspirin Induced Gastric Toxicity And Resistance In Rats And Stable Coronary Artery Disease Patients Using Nmr-Based Pharmacometabonomics

Low Dose Aspirin (LDA) is the cornerstone of secondary prevention in coronary artery disease (CAD). Despite its established efficacy, it suffers a major setback of causing gastrointestinal toxicity. In addition, some patients still experience atherothrombotic events while on aspirin secondary prophy...

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Main Author:	Abubakar, Sha’aban
Format:	Thesis
Language:	English
Published:	2019
Subjects:	RS1-441 Pharmacy and materia medica
Online Access:	http://eprints.usm.my/46590/1/Abubakar_20062019_24.pdf
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id	my-usm-ep.46590
record_format	uketd_dc
spelling	my-usm-ep.465902020-06-22T02:17:51Z Identification Of Low Molecular Weight Metabolites That Can Predict Low Dose Aspirin Induced Gastric Toxicity And Resistance In Rats And Stable Coronary Artery Disease Patients Using Nmr-Based Pharmacometabonomics 2019-06 Abubakar, Sha’aban RS1-441 Pharmacy and materia medica Low Dose Aspirin (LDA) is the cornerstone of secondary prevention in coronary artery disease (CAD). Despite its established efficacy, it suffers a major setback of causing gastrointestinal toxicity. In addition, some patients still experience atherothrombotic events while on aspirin secondary prophylaxis, a term known as aspirin resistance. The reasons why some people experience its serious gastric toxicity while others do not is still poorly understood. Likewise, the reason why some patients are adequately protected from a secondary event while others experience another event is yet to be adequately understood. The aim of this project was to evaluate the use of pharmacometabonomics, in finding novel metabolites that can predict aspirin-induced gastric toxicity and aspirin resistance in rats. It also aimed at validating such metabolites in CAD patients. The study involved 2 phases, namely the discovery phase in rats and the validation phase in humans. Pre-dose models were developed using H-NMR spectroscopic data from the biofluids of Sprague Dawley (SD) rats and the respective class identities of the rats. The data were initially subjected to multivariate statistical analysis including principal component analysis and orthogonal-partial least square discriminant analysis. The class identities were either gastric toxic versus non-gastric toxic or aspirin resistant versus aspirin sensitive for the gastric toxicity and aspirin resistance studies respectively. 2019-06 Thesis http://eprints.usm.my/46590/ http://eprints.usm.my/46590/1/Abubakar_20062019_24.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Farmasi
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	RS1-441 Pharmacy and materia medica
spellingShingle	RS1-441 Pharmacy and materia medica Abubakar, Sha’aban Identification Of Low Molecular Weight Metabolites That Can Predict Low Dose Aspirin Induced Gastric Toxicity And Resistance In Rats And Stable Coronary Artery Disease Patients Using Nmr-Based Pharmacometabonomics
description	Low Dose Aspirin (LDA) is the cornerstone of secondary prevention in coronary artery disease (CAD). Despite its established efficacy, it suffers a major setback of causing gastrointestinal toxicity. In addition, some patients still experience atherothrombotic events while on aspirin secondary prophylaxis, a term known as aspirin resistance. The reasons why some people experience its serious gastric toxicity while others do not is still poorly understood. Likewise, the reason why some patients are adequately protected from a secondary event while others experience another event is yet to be adequately understood. The aim of this project was to evaluate the use of pharmacometabonomics, in finding novel metabolites that can predict aspirin-induced gastric toxicity and aspirin resistance in rats. It also aimed at validating such metabolites in CAD patients. The study involved 2 phases, namely the discovery phase in rats and the validation phase in humans. Pre-dose models were developed using H-NMR spectroscopic data from the biofluids of Sprague Dawley (SD) rats and the respective class identities of the rats. The data were initially subjected to multivariate statistical analysis including principal component analysis and orthogonal-partial least square discriminant analysis. The class identities were either gastric toxic versus non-gastric toxic or aspirin resistant versus aspirin sensitive for the gastric toxicity and aspirin resistance studies respectively.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Abubakar, Sha’aban
author_facet	Abubakar, Sha’aban
author_sort	Abubakar, Sha’aban
title	Identification Of Low Molecular Weight Metabolites That Can Predict Low Dose Aspirin Induced Gastric Toxicity And Resistance In Rats And Stable Coronary Artery Disease Patients Using Nmr-Based Pharmacometabonomics
title_short	Identification Of Low Molecular Weight Metabolites That Can Predict Low Dose Aspirin Induced Gastric Toxicity And Resistance In Rats And Stable Coronary Artery Disease Patients Using Nmr-Based Pharmacometabonomics
title_full	Identification Of Low Molecular Weight Metabolites That Can Predict Low Dose Aspirin Induced Gastric Toxicity And Resistance In Rats And Stable Coronary Artery Disease Patients Using Nmr-Based Pharmacometabonomics
title_fullStr	Identification Of Low Molecular Weight Metabolites That Can Predict Low Dose Aspirin Induced Gastric Toxicity And Resistance In Rats And Stable Coronary Artery Disease Patients Using Nmr-Based Pharmacometabonomics
title_full_unstemmed	Identification Of Low Molecular Weight Metabolites That Can Predict Low Dose Aspirin Induced Gastric Toxicity And Resistance In Rats And Stable Coronary Artery Disease Patients Using Nmr-Based Pharmacometabonomics
title_sort	identification of low molecular weight metabolites that can predict low dose aspirin induced gastric toxicity and resistance in rats and stable coronary artery disease patients using nmr-based pharmacometabonomics
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Farmasi
publishDate	2019
url	http://eprints.usm.my/46590/1/Abubakar_20062019_24.pdf
_version_	1747821692092153856

Identification Of Low Molecular Weight Metabolites That Can Predict Low Dose Aspirin Induced Gastric Toxicity And Resistance In Rats And Stable Coronary Artery Disease Patients Using Nmr-Based Pharmacometabonomics

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