Insights into the changes in the proteome of Alzheimer disease elucidated by a meta-analysis View Full Text


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Article Info

DATE

2021-12-03

AUTHORS

Hazal Haytural, Rui Benfeitas, Sophia Schedin-Weiss, Erika Bereczki, Melinda Rezeli, Richard D. Unwin, Xusheng Wang, Eric B. Dammer, Erik C. B. Johnson, Nicholas T. Seyfried, Bengt Winblad, Betty M. Tijms, Pieter Jelle Visser, Susanne Frykman, Lars O. Tjernberg

ABSTRACT

Mass spectrometry (MS)-based proteomics is a powerful tool to explore pathogenic changes of a disease in an unbiased manner and has been used extensively in Alzheimer disease (AD) research. Here, by performing a meta-analysis of high-quality proteomic studies, we address which pathological changes are observed consistently and therefore most likely are of great importance for AD pathogenesis. We retrieved datasets, comprising a total of 21,588 distinct proteins identified across 857 postmortem human samples, from ten studies using labeled or label-free MS approaches. Our meta-analysis findings showed significant alterations of 757 and 1,195 proteins in AD in the labeled and label-free datasets, respectively. Only 33 proteins, some of which were associated with synaptic signaling, had the same directional change across the individual studies. However, despite alterations in individual proteins being different between the labeled and the label-free datasets, several pathways related to synaptic signaling, oxidative phosphorylation, immune response and extracellular matrix were commonly dysregulated in AD. These pathways represent robust changes in the human AD brain and warrant further investigation. More... »

PAGES

312

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  • Journal

    TITLE

    Scientific Data

    ISSUE

    1

    VOLUME

    8

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41597-021-01090-8

    DOI

    http://dx.doi.org/10.1038/s41597-021-01090-8

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1143568409

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/34862388


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