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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 A?42 ). 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.

SUBMITTER: Mullins RJ

PROVIDER: S-EPMC5342917 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature

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Exosomal biomarkers of brain insulin resistance associated with regional atrophy in Alzheimer's disease.

Mullins Roger J RJ Mustapic Maja M Goetzl Edward J EJ Kapogiannis Dimitrios D

Human brain mapping 20170120 4

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.<h4>Controls</h4>Here, we hypothesized that these exosomal biomarkers associate with brain atrophy in AD. We studied 24 subjects with biomarker-supported p ...[more]

PMID: 28105773

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Project description:Introduction: It has been shown that Alzheimer's disease (AD) is accompanied by marked structural brain changes that can be detected several years before clinical diagnosis via structural magnetic resonance (MR) imaging. In this study, we developed a structural MR-based biomarker for in vivo detection of AD using a supervised machine learning approach. Based on an individual's pattern of brain atrophy a continuous AD score is assigned which measures the similarity with brain atrophy patterns seen in clinical cases of AD. Methods: The underlying statistical model was trained with MR scans of patients and healthy controls from the Alzheimer's Disease Neuroimaging Initiative (ADNI-1 screening). Validation was performed within ADNI-1 and in an independent patient sample from the Open Access Series of Imaging Studies (OASIS-1). In addition, our analyses included data from a large general population sample of the Study of Health in Pomerania (SHIP-Trend). Results: Based on the proposed AD score we were able to differentiate patients from healthy controls in ADNI-1 and OASIS-1 with an accuracy of 89% (AUC = 95%) and 87% (AUC = 93%), respectively. Moreover, we found the AD score to be significantly associated with cognitive functioning as assessed by the Mini-Mental State Examination in the OASIS-1 sample after correcting for diagnosis, age, sex, age·sex, and total intracranial volume (Cohen's f2 = 0.13). Additional analyses showed that the prediction accuracy of AD status based on both the AD score and the MMSE score is significantly higher than when using just one of them. In SHIP-Trend we found the AD score to be weakly but significantly associated with a test of verbal memory consisting of an immediate and a delayed word list recall (again after correcting for age, sex, age·sex, and total intracranial volume, Cohen's f2 = 0.009). This association was mainly driven by the immediate recall performance. Discussion: In summary, our proposed biomarker well differentiated between patients and healthy controls in an independent test sample. It was associated with measures of cognitive functioning both in a patient sample and a general population sample. Our approach might be useful for defining robust MR-based biomarkers for other neurodegenerative diseases, too.

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Exosomal biomarkers of brain insulin resistance associated with regional atrophy in Alzheimer's disease.

Publications

Exosomal biomarkers of brain insulin resistance associated with regional atrophy in Alzheimer's disease.

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