Cited by 1,651Alzheimer's disease research and treatmentsNeuroscience and Neuropharmacology ResearchNeuroinflammation and Neurodegeneration Mechanisms

Amyloid-β–induced neuronal dysfunction in Alzheimer's disease: from synapses toward neural networks

Open access
Palop, Jorge J, Mucke, Lennart·2010·Nature Neuroscience

Abstract

Alzheimer's disease is the most frequent neurodegenerative disorder and the most common cause of dementia in the elderly. Diverse lines of evidence suggest that amyloid-beta (Abeta) peptides have a causal role in its pathogenesis, but the underlying mechanisms remain uncertain. Here we discuss recent evidence that Abeta may be part of a mechanism controlling synaptic activity, acting as a positive regulator presynaptically and a negative regulator postsynaptically. The pathological accumulation of oligomeric Abeta assemblies depresses excitatory transmission at the synaptic level, but also triggers aberrant patterns of neuronal circuit activity and epileptiform discharges at the network level. Abeta-induced dysfunction of inhibitory interneurons likely increases synchrony among excitatory principal cells and contributes to the destabilization of neuronal networks. Strategies that block these Abeta effects may prevent cognitive decline in Alzheimer's disease. Potential obstacles and next steps toward this goal are discussed.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/nn.2583

Cites

77 of 77 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Aβ accumulation is associated with perturbations in synaptic function, neuronal loss, and memory and cognitive impairments.

    “Aβ accumulation is associated with perturbations in synaptic function, neuronal loss, and memory and cognitive impairments (Lue et al., 1999; Akiyama et al., 2000b; Palop and Mucke, 2010).”

    From Mechanisms Underlying the Rapid Peroxisome Proliferator-Activated Receptor-γ-Mediated Amyloid Clearance and Reversal of Cognitive Deficits in a Murine Model of Alzheimer's Disease (2012) · cites this paper as Palop and Mucke, 2010

    The Introduction and “Modulation of synaptic transmission by Aβ” sections link elevated Aβ to impaired synaptic function and synaptic loss. “Elevated Aβ destabilizes neural network activity” links these changes to learning, memory, and cognitive deficits. The passages describe loss of synapses, not loss of neurons, so they do not support that part of the claim; page numbers were not provided in our copy. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • LFP recording showed E3S/S mice are protected against tau-induced deficits in theta and gamma oscillations at 6-7 months of age before tau-induced neurodegeneration at 9 months of age.

    “LFP recording of network activities showed that E3S/S mice are protected against tau-induced deficits in theta and gamma oscillations at 6–7 months of age before tau-induced neurodegeneration at 9-months of age, suggesting that network dysfunction represents early pathogenetic mechanisms in AD48.”

    From The R136S mutation in the APOE3 gene confers resilience against tau pathology via inhibition of the cGAS-STING-IFN pathway (2025) · cites this paper as [48]

    The section ‘Elevated Aβ destabilizes neural network activity’ reports abnormal network activity in Alzheimer’s-related hAPP mice, supporting the sentence’s general point about network dysfunction. It does not report LFP recordings in E3S/S mice, protection from tau-induced theta or gamma deficits at 6–7 months, or neurodegeneration at 9 months (page unavailable in our copy). (LLM, conf=0.82)

    Experimental — accuracy not yet measured
  • Network dysfunction represents early pathogenetic mechanisms in AD.

    “LFP recording of network activities showed that E3S/S mice are protected against tau-induced deficits in theta and gamma oscillations at 6–7 months of age before tau-induced neurodegeneration at 9-months of age, suggesting that network dysfunction represents early pathogenetic mechanisms in AD48.”

    From The R136S mutation in the APOE3 gene confers resilience against tau pathology via inhibition of the cGAS-STING-IFN pathway (2025) · cites this paper as [48]

    The Introduction and ‘Elevated Aβ destabilizes neural network activity’ section link abnormal network activity to Alzheimer’s-related pathology and possible cognitive decline. They support a pathogenetic role for network dysfunction, but do not establish that it is an early mechanism preceding neurodegeneration. The preceding tau-mouse findings are the citing authors’ own results, not a claim attributed to this source. (LLM, conf=0.82)

    Experimental — accuracy not yet measured
  • Network dysfunction represents early pathogenetic mechanisms in AD.

    “supporting the notion that network dysfunction represents early pathogenetic mechanisms in AD46”

    From <i>APOE3</i> - <i>R136S</i> mutation confers resilience against tau pathology via cGAS-STING-IFN inhibition (2024) · cites this paper as [46]

    The section 'Elevated Aβ destabilizes neural network activity' proposes that aberrant network activity contributes to cognitive decline, supporting a role for network dysfunction in AD pathogenesis. It does not establish that network dysfunction is an early mechanism in the disease course; the paper also identifies the relationship between network alterations and cognitive function as an unresolved issue. No page numbers were available in our copy. (LLM, conf=0.82)

    Experimental — accuracy not yet measured
  • AD patients and AD mouse models display excitation/inhibition circuit imbalances that affect the oscillatory patterns underlying cognitive processing.

    “AD patients and AD mouse models display excitation/inhibition circuit imbalances that affect the oscillatory patterns underlying cognitive processing 106, 107 .”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

1 retracted

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Palop, J. J., & Mucke, L.
Affiliations
University of California, San Francisco (US)
Corresponding author
  • Palop, Jorge J
  • Mucke, Lennart
Venue
Nature Neuroscience
Published
2010-06-25
Volume
13
Issue
7
Pages
812-818
ISSN
  • 1097-6256 (ISSN-L)
  • 1546-1726
OpenAlex
W2131180711
Cited by
1,651
References
77
Citations by year
2026: 81 · 2025: 100 · 2024: 102 · 2023: 88 · 2022: 119 · 2021: 120 · 2020: 120 · 2019: 90 · 2018: 127 · 2017: 113 · 2016: 134 · 2015: 89 · 2014: 117 · 2013: 99 · 2012: 81
FWCI
8.00
Type
journal article
Language
en
Open access
Locations
  • Nature Neuroscience (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health
  • National Institute on Aging (AG022074, P01AG022074)
  • National Institute of Neurological Disorders and Stroke (R01NS041787, NS041787)
Topics
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
  • Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
Keywords
amyloid-beta, Alzheimer's disease, synaptic dysfunction, artificial neural networks, presynaptic modulation, postsynaptic regulation, excitatory synaptic transmission, amyloid-beta oligomers, epileptiform discharges, inhibitory interneurons, neuronal synchronization, cognitive decline
MeSH terms
Alzheimer Disease, Humans, Neural Pathways, Synaptic Transmission, Synapses, Amyloid beta-Peptides

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review