Multiplex proteomics identifies novel CSF and plasma biomarkers of early Alzheimer’s disease

To date, the development of disease-modifying therapies for Alzheimer’s disease (AD) has largely focused on the removal of amyloid beta Aβ fragments from the CNS. Proteomic profiling of patient fluids may help identify novel therapeutic targets and biomarkers associated with AD pathology. Here, we a...

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Published inActa neuropathologica communications Vol. 7; no. 1; pp. 169 - 14
Main Authors Whelan, Christopher D., Mattsson, Niklas, Nagle, Michael W., Vijayaraghavan, Swetha, Hyde, Craig, Janelidze, Shorena, Stomrud, Erik, Lee, Julie, Fitz, Lori, Samad, Tarek A., Ramaswamy, Gayathri, Margolin, Richard A., Malarstig, Anders, Hansson, Oskar
Format Journal Article
LanguageEnglish
Published England BioMed Central Ltd 06.11.2019
BioMed Central
BMC
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Summary:To date, the development of disease-modifying therapies for Alzheimer’s disease (AD) has largely focused on the removal of amyloid beta Aβ fragments from the CNS. Proteomic profiling of patient fluids may help identify novel therapeutic targets and biomarkers associated with AD pathology. Here, we applied the Olink™ ProSeek immunoassay to measure 270 CSF and plasma proteins across 415 Aβ- negative cognitively normal individuals (Aβ- CN), 142 Aβ-positive CN (Aβ+ CN), 50 Aβ- mild cognitive impairment (MCI) patients, 75 Aβ+ MCI patients, and 161 Aβ+ AD patients from the Swedish BioFINDER study. A validation cohort included 59 Aβ- CN, 23 Aβ- + CN, 44 Aβ- MCI and 53 Aβ+ MCI. To compare protein concentrations in patients versus controls, we applied multiple linear regressions adjusting for age, gender, medications, smoking and mean subject-level protein concentration, and corrected findings for false discovery rate (FDR, q  < 0.05). We identified, and replicated, altered levels of ten CSF proteins in Aβ+ individuals, including CHIT1, SMOC2, MMP-10, LDLR, CD200, EIF4EBP1, ALCAM, RGMB, tPA and STAMBP (− 0.14 <  d  < 1.16; q  < 0.05). We also identified and replicated alterations of six plasma proteins in Aβ+ individuals OSM, MMP-9, HAGH, CD200, AXIN1, and uPA (− 0.77 <  d  < 1.28; q  < 0.05). Multiple analytes associated with cognitive performance and cortical thickness ( q  < 0.05). Plasma biomarkers could distinguish AD dementia (AUC = 0.94, 95% CI = 0.87–0.98) and prodromal AD (AUC = 0.78, 95% CI = 0.68–0.87) from CN. These findings reemphasize the contributions of immune markers, phospholipids, angiogenic proteins and other biomarkers downstream of, and potentially orthogonal to, Aβ- and tau in AD, and identify candidate biomarkers for earlier detection of neurodegeneration.
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ISSN:2051-5960
2051-5960
DOI:10.1186/s40478-019-0795-2