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Cited by 335

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Membrane Disruption by Alzheimer β-Amyloid Peptides Mediated through Specific Binding to Either Phospholipids or Gangliosides

Open access
McLaurin, JoAnne, Chakrabartty, Avi·1996·Journal of Biological Chemistry

Abstract

Increasing evidence implicates Abeta peptides as neurotoxic agents in Alzheimer's disease. We investigated one possible mechanism of neurotoxicity, namely Abeta-membrane lipid interactions. We find that Abeta disrupts membranes containing acidic phospholipids. This disruption is greater at slightly acidic pH (characteristic of endosomes) than at neutral pH (characteristic of the extracellular space). This pH dependence suggests that Abeta has the capacity to disrupt endosomal and plasma membranes, and this disruption could account, at least in part, for the observed neurotoxic effects of the peptide. We also find that gangliosides induce Abeta to adopt a novel alpha/beta conformation at neutral pH.

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Metadata

Authors
McLaurin, J., & Chakrabartty, A.
Venue
Journal of Biological Chemistry
Publisher
Elsevier BV
Published
1996-10
Volume
271
Issue
43
Pages
26482-26489
ISSN
0021-9258 (ISSN-L)
OpenAlex
W1989269014
Cited by
335
References
8
FWCI
7.35
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Membrane Disruption by Alzheimer β-Amyloid Peptides Mediated through Specific Binding to Either Phospholipids or Gangliosides. https://app.cochat.ai/papers/10.1074/jbc.271.43.26482
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McLaurin, J., & Chakrabartty, A. (1996). Membrane Disruption by Alzheimer β-Amyloid Peptides Mediated through Specific Binding to Either Phospholipids or Gangliosides. Journal of Biological Chemistry. https://doi.org/10.1074/jbc.271.43.26482

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.