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Autophagy flux in CA1 neurons of Alzheimer hippocampus: Increased induction overburdens failing lysosomes to propel neuritic dystrophy
Open accessAbstract
Defective autophagy contributes to Alzheimer disease (AD) pathogenesis although evidence is conflicting on whether multiple stages are impaired. Here, for the first time, we have comprehensively evaluated the entire autophagic process specifically in CA1 pyramidal neurons of hippocampus from early and late-stage AD subjects and nondemented controls. CA1 neurons aspirated by laser capture microdissection were analyzed using a custom-designed microarray comprising 578 neuropathology- and neuroscience-associated genes. Striking upregulation of autophagy-related genes, exceeding that of other gene ontology groups, reflected increases in autophagosome formation and lysosomal biogenesis beginning at early AD stages. Upregulated autophagosome formation was further indicated by elevated gene and protein expression levels for autophagosome components and increased LC3-positive puncta. Increased lysosomal biogenesis was evidenced by activation of MiTF/TFE family transcriptional regulators, particularly TFE3 (transcription factor binding to IGHM enhancer 3) and by elevated expression of their target genes and encoded proteins. Notably, TFEB (transcription factor EB) activation was associated more strongly with glia than neurons. These findings establish that autophagic sequestration is both competent and upregulated in AD. Autophagosome-lysosome fusion is not evidently altered. Despite this early disease response, however, autophagy flux is progressively impeded due to deficient substrate clearance, as reflected by autolysosomal accumulation of LC3-II and SQSTM1/p62 and expansion of autolysosomal size and total area. We propose that sustained induction of autophagy in the face of progressively declining lysosomal clearance of substrates explains the uncommonly robust autophagic pathology and neuritic dystrophy implicated in AD pathogenesis.
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“Gene set enrichment analyses were performed according to standard procedures [39, 40] on two published RNA-seq datasets [31, 48]”
From A gene toolbox for monitoring autophagy transcription (2021) · cites this paper as [48]
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“Disruption of autophagic flux and a failure of autophagosomes to fuse with lysosomes leads to a build-up of vesicles, which can be seen in dystrophic neurites and cell bodies in AD, CBD and PSP, as well as in tauopathy models73–76.”
From Tau-targeting therapies for Alzheimer disease (2018) · cites this paper as [75]
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Cites
Fiji: an open-source platform for biological-image analysis
Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., Preibisch, S., Rueden, C., Saalfeld, S., Schmid, B., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2019 · Cited by 66,890
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
Vandesompele, J., De Preter, K., Pattyn, F., Poppe, B., Van Roy, N., De Paepe, A., & Speleman, F. (2002) · Genome Biology · doi:10.1186/gb-2002-3-7-research0034 · Cited by 20,038
Measurement of protein using bicinchoninic acid
Smith, P. K., Krohn, R. I., Hermanson, G. T., Mallia, A. K., Gartner, F. H., Provenzano, M. D., Fujimoto, E. K., Goeke, N. M., Olson, B. J., & Klenk, D. C. (1985) · Analytical Biochemistry · doi:10.1016/0003-2697(85)90442-7 · Cited by 18,482
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · cited 3×
“V/VI, n D 15).79 Based on results from these analyses, subsequent studies were typed solely on the basis of the primary neuropathological assessment as described by Braak and Braak.79 For qPCR and western blot analyses, fresh-frozen postmortem human brain tissue was obtained from the Harvard Brain Tissue Resource Cent…”
MethodInfluentialGuidelines for the use and interpretation of assays for monitoring autophagy (3rd edition).
Klionsky, D. J., Abdelmohsen, K., Abe, A., Abedin, M. J., Abeliovich, H., Acevedo Arozena, A., Adachi, H., Adams, C. M., Adams, P. D., Adeli, K., et al. (2016) · Autophagy · doi:10.1080/15548627.2015.1100356 · Cited by 5,894
Glenner, G. G., & Wong, C. W. (1984) · Biochemical and Biophysical Research Communications · doi:10.1016/s0006-291x(84)80190-4 · Cited by 5,404
Mirra, S. S., Heyman, A., McKeel, D., Sumi, S. M., Crain, B. J., Brownlee, L. M., Vogel, F. S., Hughes, J. P., Belle, G. V., Berg, L., et al. (1991) · Neurology · doi:10.1212/wnl.41.4.479 · Cited by 4,961
Autophagy and the Integrated Stress Response
Kroemer, G., Mariño, G., & Levine, B. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.09.023 · Cited by 3,506
TFEB Links Autophagy to Lysosomal Biogenesis
Settembre, C., Di Malta, C., Polito, V. A., Arencibia, M. G., Vetrini, F., Erdin, S., Erdin, S. U., Huynh, T., Medina, D., Colella, P., et al. (2011) · Science · doi:10.1126/science.1204592 · Cited by 3,365
Research works printed but not linked: 4
- Kawai M, 1992, Am J Pathol, 140, 947
- Pickford F, 2008, J Clin Invest, 118, 2190
- Kim S, 2015, Mol Psychiatry
- Schmidt SD, 2005, Methods Mol Biol, 299, 267
Cited by
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Chapman, E. R., & Vevea, J. (2018) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.733114368.793553076
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Nodweddu effaith signalu ghrelin-GHS-R ar awtoffagi niwronaidd
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Metadata
- Authors
- Bordi, M., Berg, M. J., Mohan, P. S., Peterhoff, C. M., Alldred, M. J., Che, S., Ginsberg, S. D., & Nixon, R. A.
- Affiliations
- Nathan Kline Institute for Psychiatric Research (US)
- Corresponding author
- Nixon, Ralph A.
- Venue
- Autophagy
- Publisher
- Informa UK Limited
- Published
- 2016-11-04
- Volume
- 12
- Issue
- 12
- Pages
- 2467-2483
- ISSN
- 1554-8627 (ISSN-L)
- 1554-8635
- PMC
- PMC5173282
- OpenAlex
- W2547593615
- Cited by
- 353
- References
- 101
- Citations by year
- 2026: 23 · 2025: 37 · 2024: 41 · 2023: 38 · 2022: 37 · 2021: 42 · 2020: 48 · 2019: 34 · 2018: 30 · 2017: 22
- FWCI
- 26.84
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Autophagy (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Funders
- Emory University
- National Institute on Aging (P01AG014449, R01AG043375, P50AG025688, P01AG017617)
- National Institute of Neurological Disorders and Stroke (P30NS055077)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Autophagy in Disease and Therapy
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Physiology › Calcium signaling and nucleotide metabolism
- Keywords
- Alzheimer's disease, autophagic flux, CA1 pyramidal neurons, hippocampus, autophagosome formation, lysosomal biogenesis, TFE3, TFEB, p62, LC3-II, neuritic dystrophy, autophagosome-lysosome fusion
- MeSH terms
- Autophagosomes, Aged, Aged, 80 and over, Alzheimer Disease, Autophagy, Cathepsin D, Demography, Female, Gene Expression Regulation, Humans, Lysosomes, Male, Microtubule-Associated Proteins, Middle Aged, Neurites, Basic Helix-Loop-Helix Leucine Zipper Transcription Factors, CA1 Region, Hippocampal
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