| Literature DB >> 31605717 |
Jong-Chan Park1, Sun-Ho Han2, Hangyeore Lee3, Hyobin Jeong4, Min Soo Byun5, Jingi Bae6, Hokeun Kim7, Dong Young Lee8, Dahyun Yi9, Seong A Shin10, Yu Kyeong Kim11, Daehee Hwang12, Sang-Won Lee13, Inhee Mook-Jung14.
Abstract
Alzheimer's disease (AD) is the most common age-associated dementia. Many studies have sought to predict cerebral amyloid deposition, the major pathological hallmark of AD, using body fluids such as blood or cerebral spinal fluid (CSF). The use of blood in diagnostic procedures is widespread in medicine; however, existing blood biomarkers for AD remain unreliable. We sought to discover blood biomarkers that discriminate Aβ deposition status in the brain. This study used 107 individuals who were cognitively normal (CN), 107 patients with mild cognitive impairment (MCI), and 40 AD patients with Pittsburg compound B positron emission tomography (PiB-PET) amyloid imaging data available. We found five plasma biomarker candidates via mass spectrometry (MS) based-proteomic analysis and validated these proteins using enzyme-linked immunosorbent assay (ELISA). Our integrated models were highly predictive of brain amyloid deposition, exhibiting 0.871 accuracy with 79% sensitivity and 84% specificity overall, and 0.836 accuracy with 68% sensitivity and 90% specificity in patients with MCI. These results indicated that a combination of proteomic-based blood proteins might be a possible biomarker set for predicting cerebral amyloid deposition.Entities:
Keywords: Alzheimer’s disease; Cerebral amyloid deposition; PiB-PET; Plasma biomarker; Proteomics; TMT
Year: 2019 PMID: 31605717 DOI: 10.1016/j.pneurobio.2019.101690
Source DB: PubMed Journal: Prog Neurobiol ISSN: 0301-0082 Impact factor: 11.685