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Article type: Review Article
Authors: Sriwichaiin, Sirawita; b; c | Chattipakorn, Nipona; b; c | Chattipakorn, Siriporn C.a; b; c; d; *
Affiliations: [a] Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand | [b] Center of Excellence in Cardiac Electrophysiology Research, Chiang Mai University, Chiang Mai, Thailand | [c] Cardiac Electrophysiology Unit, Department of Physiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand | [d] Department of Oral Biology and Diagnostic Sciences, Faculty of Dentistry, Chiang Mai University, Chiang Mai, Thailand
Correspondence: [*] Correspondence to: Siriporn C. Chattipakorn, DDS, PhD, Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Department of Oral Biology and Diagnostic Sciences, Faculty of Dentistry, Chiang Mai University, Chiang Mai, 50200, Thailand. Tel.: +011 66 0 53 935 329; Fax: +011 66 0 53 935 368; E-mails: siriporn.c@cmu.ac.th; scchattipakorn@gmail.com.
Abstract: Alzheimer’s disease (AD) has become a major health problem among the elderly population. Some evidence suggests that metabolic disturbance possibly plays a role in the pathophysiology of AD. Currently, the study of metabolomics has been used to explore changes in multiple metabolites in several diseases, including AD. Thus, the metabolomics research in AD might provide some information regarding metabolic dysregulations, and their possible associated pathophysiology. This review summarizes the information discovered regarding the metabolites in the brain and the blood from the metabolomics research of AD from both animal and clinical studies. Additionally, the correlation between the changes in metabolites and outcomes, such as pathological findings in the brain and cognitive impairment are discussed. We also deliberate on the findings of cohort studies, demonstrating the alterations in metabolites before changes of cognitive function. All of these findings can be used to inform the potential identity of specific metabolites as possible biomarkers for AD.
Keywords: Aging, Alzheimer’s disease, dementia, metabolomics
DOI: 10.3233/JAD-210737
Journal: Journal of Alzheimer's Disease, vol. 84, no. 1, pp. 23-50, 2021
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