Exosomal biomarkers of brain insulin resistance associated with regional atrophy in Alzheimer's disease
- PMID: 28105773
- PMCID: PMC5342917
- DOI: 10.1002/hbm.23494
Exosomal biomarkers of brain insulin resistance associated with regional atrophy in Alzheimer's disease
Abstract
Brain insulin resistance (IR), which depends on insulin-receptor-substrate-1 (IRS-1) phosphorylation, is characteristic of Alzheimer's disease (AD). Previously, we demonstrated higher pSer312-IRS-1 (ineffective insulin signaling) and lower p-panTyr-IRS-1 (effective insulin signaling) in neural origin-enriched plasma exosomes of AD patients vs.
Controls: Here, we hypothesized that these exosomal biomarkers associate with brain atrophy in AD. We studied 24 subjects with biomarker-supported probable AD (low CSF Aβ42 ). Exosomes were isolated from plasma, enriched for neural origin using immunoprecipitation for L1CAM, and measured for pSer312 - and p-panTyr-IRS-1 phosphotypes. MPRAGE images were segmented by brain tissue type and voxel-based morphometry (VBM) analysis for gray matter against pSer312 - and p-panTyr-IRS-1 was conducted. Given the regionally variable brain expression of IRS-1, we used the Allen Brain Atlas to make spatial comparisons between VBM results and IRS-1 expression. Brain volume was positively associated with P-panTyr-IRS-1 and negatively associated with pSer312 -IRS-1 in a strikingly similar regional pattern (bilateral parietal-occipital junction, R middle temporal gyrus). This volumetric association pattern was spatially correlated with Allen Human Brain atlas normal brain IRS-1 expression. Exosomal biomarkers of brain IR are thus associated with atrophy in AD as could be expected by their pathophysiological roles and do so in a pattern that reflects regional IRS-1 expression. Furthermore, neural-origin plasma exosomes may recover molecular signals from specific brain regions. Hum Brain Mapp 38:1933-1940, 2017. © 2017 Wiley Periodicals, Inc.
Keywords: Alzheimer's disease; IRS-1; biomarker; exosomes; insulin resistance; magnetic resonance imaging.
© 2016 Wiley Periodicals, Inc.
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