Abstract
Autoantibodies are self-antigen reactive antibodies that play diverse roles in the normal immune system, tissue homeostasis, and autoimmune and neurodegenerative diseases. Anti-neuronal autoantibodies have been detected in neurodegenerative disease serum, with unclear significance. To identify diagnostic biomarkers of Alzheimer’s disease (AD), we analyzed serum autoantibody profiles of the HuProt proteome microarray using the discovery set of cognitively normal control (NC, n = 5) and AD (n = 5) subjects. Approximately 1.5-fold higher numbers of autoantibodies were detected in the AD group (98.0 ± 39.9/person) than the NC group (66.0 ± 39.6/person). Of the autoantigen candidates detected in the HuProt microarray, five autoantigens were finally selected for the ELISA-based validation experiment using the validation set including age- and gender-matched normal (NC, n = 44), mild cognitive impairment (MCI, n = 44) and AD (n = 44) subjects. The serum levels of four autoantibodies including anti-ATCAY, HIST1H3F, NME7 and PAIP2 IgG were significantly different among NC, MCI and/or AD groups. Specifically, the anti-ATCAY autoantibody level was significantly higher in the AD (p = 0.003) and MCI (p = 0.015) groups compared to the NC group. The anti-ATCAY autoantibody level was also significantly correlated with neuropsychological scores of MMSE (rs = − 0.229, p = 0.012), K-MoCA (rs = − 0.270, p = 0.003), and CDR scores (rs = 0.218, p = 0.016). In addition, a single or combined occurrence frequency of anti-ATCAY and anti-PAIP2 autoantibodies was significantly associated with the risk of MCI and AD. This study indicates that anti-ATCAY and anti-PAIP2 autoantibodies could be a potential diagnostic biomarker of AD.
Highlights
Autoantibodies are self-antigen reactive antibodies that play diverse roles in the normal immune system, tissue homeostasis, and autoimmune and neurodegenerative diseases
Of the autoantibodies (n = 434) detected in the HuProt microarray experiments, 47 autoantigen signals were classified to Alzheimer’s disease (AD)-abundant signals that exhibited a higher occurrence with more than two of occurrence difference in the AD group compared to the normal controls (NC) group (Supplementary Table 2)
Through the proteome microarray and subsequent enzyme-linked immunosorbent assay (ELISA)-based validation experiments using general population-based geriatric cohort samples, we discovered potential diagnostic autoantibodies of AD
Summary
Autoantibodies are self-antigen reactive antibodies that play diverse roles in the normal immune system, tissue homeostasis, and autoimmune and neurodegenerative diseases. To identify diagnostic biomarkers of Alzheimer’s disease (AD), we analyzed serum autoantibody profiles of the HuProt proteome microarray using the discovery set of cognitively normal control (NC, n = 5) and AD (n = 5) subjects. A variety of autoantibodies are likely to be involved in the pathogenesis of autoimmune diseases like rheumatoid a rthritis[2], chronic diseases like diabetes3, cancers[4], or neurodegenerative disease like Parkinson’s disease[5], Alzheimer’s disease (AD)[6], or multiple sclerosis[7] Autoantibodies in these diseases have been investigated as blood based-biomarkers for the prediction or diagnosis of disease as well as functional roles in disease pathology. Autoantibodies against various antigens, including amyloid-beta (Aβ), neurotransmitters, microglia, lipids, and vascular-related molecules, have been considered autoimmune factors related to AD, suggesting their potential as diagnostic biomarkers or therapeutic agents for A D6,7. Considerable evidence has indicated an association between autoantibodies and AD, but their significance remains unknown
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
