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ID 67496
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Fukui, Yusuke Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
Tadokoro, Koh Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
Hamada, Minaki Protosera, Inc.
Asada, Kyoichi Protosera, Inc.
Lee, Lyang-Ja Protosera, Inc.
Tachiki, Hidehisa Protosera, Inc.
Morihara, Ryuta Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University ORCID Kaken ID researchmap
Abe, Koji Department of Neurology, National Center of Neurology and Psychiatry Kaken ID publons researchmap
Yamashita, Toru Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University ORCID Kaken ID researchmap
Abstract
Background:With the aging of populations worldwide, Alzheimer’s disease (AD) has become a concern due to its high prevalence and the continued lack of established treatments. Early diagnosis is required as a preventive intervention to modify the disease’s progression. In our previous study, we performed peptidomic analysis of serum samples obtained from AD patients and age-matched healthy subjects to seek peptide biomarker candidates for AD by using BLOTCHIP-MS analysis, and identified four peptides as AD biomarker candidates.
Objective:The objective was to validate the serum biomarker peptides to distinguish mild cognitive impairment (MCI) and AD in comparison to cognitively healthy controls using a new peptidome technology, the Dementia Risk Test.
Methods:We enrolled 195 subjects with normal cognitive function (NC; n = 70), MCI (n = 55), and AD (n = 70), The concentrations of cognitive impairment marker peptides (Fibrinogen α chain (FAC), Fibrinogen β chain (FBC), Plasma protease C1 inhibitor (PPC1I), α2-HS-glycoprotein (AHSG)) were quantified by using a selected reaction monitoring assay based on liquid chromatography-MS/MS.
Results:The present study confirmed that three peptides, FAC, FBC, and PPC1I, were significantly upregulated during the onset of AD. This three-peptide set was both highly sensitive in determining AD (sensitivity: 85.7%, specificity: 95.7%, AUC: 0.900) and useful in distinguishing MCI (sensitivity: 61.8%, specificity: 98.6%, AUC: 0.824) from NC.
Conclusions:In this validation study, we confirmed the high diagnostic potential of the three peptides identified in our previous study as candidate serum biomarkers for AD. The Dementia Risk Test may be a powerful tool for detecting AD-related pathological changes.
Keywords
Alzheimer’s disease
biochemical marker
dementia risk test
liquid chromatography-MS/MS
mild cognitive impairment
peptidome
selected reaction monitoring
Note
This is an Accepted Manuscript of an article published by IOS Press.
Published Date
2024-06-25
Publication Title
Journal of Alzheimer's Disease
Volume
volume100
Issue
issue1
Publisher
IOS Press
Start Page
219
End Page
228
ISSN
1387-2877
Content Type
Journal Article
language
English
OAI-PMH Set
岡山大学
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DOI
Web of Science KeyUT
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isVersionOf https://doi.org/10.3233/jad-230915
Citation
Fukui, Yusuke et al. ‘A Novel Peptidome Technology for the Diagnosis of Mild Cognitive Impairment and Alzheimer’s Disease by Selected Reaction Monitoring’. 1 Jan. 2024 : 219 – 228.
Funder Name
Protosera Inc.
Japan Society for the Promotion of Science
Japan Agency for Medical Research and Development
助成番号
JP21K19572
JP22K17799
JP21K15190