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Usage Information

Modulation of amyloid β-protein clearance and Alzheimer’s disease susceptibility by the LDL receptor–related protein pathway
David E. Kang, Claus U. Pietrzik, Larry Baum, Nathalie Chevallier, David E. Merriam, Maria Z. Kounnas, Steven L. Wagner, Juan C. Troncoso, Claudia H. Kawas, Robert Katzman, Edward H. Koo
David E. Kang, Claus U. Pietrzik, Larry Baum, Nathalie Chevallier, David E. Merriam, Maria Z. Kounnas, Steven L. Wagner, Juan C. Troncoso, Claudia H. Kawas, Robert Katzman, Edward H. Koo
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Article

Modulation of amyloid β-protein clearance and Alzheimer’s disease susceptibility by the LDL receptor–related protein pathway

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Abstract

Susceptibility to Alzheimer’s disease (AD) is governed by multiple genetic factors. Remarkably, the LDL receptor–related protein (LRP) and its ligands, apoE and α2M, are all genetically associated with AD. In this study, we provide evidence for the involvement of the LRP pathway in amyloid deposition through sequestration and removal of soluble amyloid β-protein (Aβ). We demonstrate in vitro that LRP mediates the clearance of both Aβ40 and Aβ42 through a bona fide receptor-mediated uptake mechanism. In vivo, reduced LRP expression is associated with LRP genotypes and is correlated with enhanced soluble Aβ levels and amyloid deposition. Although LRP has been proposed to be a clearance pathway for Aβ, this work provides the first in vivo evidence that the LRP pathway may modulate Aβ deposition and AD susceptibility by regulating the removal of soluble Aβ.

Authors

David E. Kang, Claus U. Pietrzik, Larry Baum, Nathalie Chevallier, David E. Merriam, Maria Z. Kounnas, Steven L. Wagner, Juan C. Troncoso, Claudia H. Kawas, Robert Katzman, Edward H. Koo

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Usage data is cumulative from January 2025 through January 2026.

Usage JCI PMC
Text version 1,385 122
PDF 125 22
Figure 267 5
Table 111 0
Citation downloads 103 0
Totals 1,991 149
Total Views 2,140
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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