Determination Of Plasma Metabolites, Its Related Metabolomic Pathways And Correlation With Clinical Parameters Of Cognitive Frailty And Mild Cognitive Impairment

Cognitive frailty (CF) has evolved over recent years, initially used to describe the co-occurrence of mild cognitive impairment (MCI) and physical frailty without dementia. Population ageing is occurring globally, and Malaysia has the most rapidly growing older population. CF in old age is likely to...

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Main Author:	Bawadikji, Abdulkader Ahmad
Format:	Thesis
Language:	English
Published:	2023
Subjects:	RS1-441 Pharmacy and materia medica
Online Access:	http://eprints.usm.my/60208/1/ABDULKADER%20AHMAD%20BAWADIKJI%20-%20TESIS24.pdf
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id	my-usm-ep.60208
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spelling	my-usm-ep.602082024-03-18T02:16:36Z Determination Of Plasma Metabolites, Its Related Metabolomic Pathways And Correlation With Clinical Parameters Of Cognitive Frailty And Mild Cognitive Impairment 2023-09 Bawadikji, Abdulkader Ahmad RS1-441 Pharmacy and materia medica Cognitive frailty (CF) has evolved over recent years, initially used to describe the co-occurrence of mild cognitive impairment (MCI) and physical frailty without dementia. Population ageing is occurring globally, and Malaysia has the most rapidly growing older population. CF in old age is likely to become of increasing importance. Metabolomics is a novel scientific discipline that may provide a novel method for diagnosing CF using a sensitive and specific technique such as nuclear magnetic resonance (NMR). This study aims to identify metabolic fingerprints that can be used to distinguish subjects with CF from MCI and robust (healthy group), to explore the pathway of the identified metabolites, and to explore the correlations between the identified biomarkers and the clinical data related to CF and MCI. Blood samples were collected from 56 CF (mean age: 72.6 years), 75 MCI (mean age: 65.1 years), and 78 robust (mean age: 63.3 years). Plasma was separated by centrifugation, and then plasma samples were mixed with phosphate buffer and analyzed using NMR spectroscopy. Data analysis was done using multivariate analysis, including principal component analysis (PCA) and partial least square discriminate analysis (PLS-DA). For discrimination between CF and robust, the PLS-DA model showed sensitivity, specificity, and accuracy of 66.1%, 67.9%, and 65%, respectively. 2023-09 Thesis http://eprints.usm.my/60208/ http://eprints.usm.my/60208/1/ABDULKADER%20AHMAD%20BAWADIKJI%20-%20TESIS24.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 Bawadikji, Abdulkader Ahmad Determination Of Plasma Metabolites, Its Related Metabolomic Pathways And Correlation With Clinical Parameters Of Cognitive Frailty And Mild Cognitive Impairment
description	Cognitive frailty (CF) has evolved over recent years, initially used to describe the co-occurrence of mild cognitive impairment (MCI) and physical frailty without dementia. Population ageing is occurring globally, and Malaysia has the most rapidly growing older population. CF in old age is likely to become of increasing importance. Metabolomics is a novel scientific discipline that may provide a novel method for diagnosing CF using a sensitive and specific technique such as nuclear magnetic resonance (NMR). This study aims to identify metabolic fingerprints that can be used to distinguish subjects with CF from MCI and robust (healthy group), to explore the pathway of the identified metabolites, and to explore the correlations between the identified biomarkers and the clinical data related to CF and MCI. Blood samples were collected from 56 CF (mean age: 72.6 years), 75 MCI (mean age: 65.1 years), and 78 robust (mean age: 63.3 years). Plasma was separated by centrifugation, and then plasma samples were mixed with phosphate buffer and analyzed using NMR spectroscopy. Data analysis was done using multivariate analysis, including principal component analysis (PCA) and partial least square discriminate analysis (PLS-DA). For discrimination between CF and robust, the PLS-DA model showed sensitivity, specificity, and accuracy of 66.1%, 67.9%, and 65%, respectively.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Bawadikji, Abdulkader Ahmad
author_facet	Bawadikji, Abdulkader Ahmad
author_sort	Bawadikji, Abdulkader Ahmad
title	Determination Of Plasma Metabolites, Its Related Metabolomic Pathways And Correlation With Clinical Parameters Of Cognitive Frailty And Mild Cognitive Impairment
title_short	Determination Of Plasma Metabolites, Its Related Metabolomic Pathways And Correlation With Clinical Parameters Of Cognitive Frailty And Mild Cognitive Impairment
title_full	Determination Of Plasma Metabolites, Its Related Metabolomic Pathways And Correlation With Clinical Parameters Of Cognitive Frailty And Mild Cognitive Impairment
title_fullStr	Determination Of Plasma Metabolites, Its Related Metabolomic Pathways And Correlation With Clinical Parameters Of Cognitive Frailty And Mild Cognitive Impairment
title_full_unstemmed	Determination Of Plasma Metabolites, Its Related Metabolomic Pathways And Correlation With Clinical Parameters Of Cognitive Frailty And Mild Cognitive Impairment
title_sort	determination of plasma metabolites, its related metabolomic pathways and correlation with clinical parameters of cognitive frailty and mild cognitive impairment
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Farmasi
publishDate	2023
url	http://eprints.usm.my/60208/1/ABDULKADER%20AHMAD%20BAWADIKJI%20-%20TESIS24.pdf
_version_	1794024106428989440

Determination Of Plasma Metabolites, Its Related Metabolomic Pathways And Correlation With Clinical Parameters Of Cognitive Frailty And Mild Cognitive Impairment

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