Literature DB >> 29031088

Probing the correlation of neuronal loss, neurofibrillary tangles, and cell death markers across the Alzheimer's disease Braak stages: a quantitative study in humans.

Panos Theofilas1, Alexander J Ehrenberg1, Austin Nguy1, Julia M Thackrey1, Sara Dunlop1, Maria B Mejia1, Ana T Alho2, Renata Elaine Paraizo Leite3, Roberta Diehl Rodriguez4, Claudia K Suemoto3, Camila F Nascimento4, Marcus Chin5, Daniel Medina-Cleghorn5, Ana Maria Cuervo6, Michelle Arkin5, William W Seeley1, Bruce L Miller1, Ricardo Nitrini7, Carlos Augusto Pasqualucci4, Wilson Jacob Filho3, Udo Rueb8, John Neuhaus9, Helmut Heinsen10, Lea T Grinberg11.   

Abstract

Clarifying the mechanisms connecting neurofibrillary tangle (NFT) neurotoxicity to neuronal dysfunction in humans is likely to be pivotal for developing effective treatments for Alzheimer's disease (AD). To model the temporal progression of AD in humans, we used a collection of brains with controls and individuals from each Braak stage to quantitatively investigate the correlation between intraneuronal caspase activation or macroautophagy markers, NFT burden, and neuronal loss, in the dorsal raphe nucleus and locus coeruleus, the earliest vulnerable areas to NFT accumulation. We fit linear regressions with each count as outcomes, with Braak score and age as the predictors. In progressive Braak stages, intraneuronal active caspase-6 positivity increases both alone and overlapping with NFTs. Likewise, the proportion of NFT-bearing neurons showing autophagosomes increases. Overall, caspases may be involved in upstream cascades in AD and are associated with higher NFTs. Macroautophagy changes correlate with increasing NFT burden from early AD stages.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alzheimer's disease; Autophagy; Caspases; Human brainstem; Neurofibrillary tangles; Neuron counts

Mesh:

Substances:

Year:  2017        PMID: 29031088      PMCID: PMC5705284          DOI: 10.1016/j.neurobiolaging.2017.09.007

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


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