Correlation between cognitive deficits and A deposits in transgenic
APP+PS1 mice
Marcia N. Gordon
a
, David L. King
b
, David M. Diamond
a,c
, Paul T. Jantzen
a
,
Kristal V. Boyett
a
, Caroline E. Hope
b
, Jaime M. Hatcher
b
, Giovanni DiCarlo
a
,
W. Paul E. Gottschall
a
, Dave Morgan
a,
*, Gary W. Arendash
b
a
Alzheimer’s Research Laboratory, Department of Pharmacology, University of South Florida, Tampa, FL 33612, USA
b
Alzheimer’s Research Laboratory, Department of Biology, University of South Florida, Tampa, FL 33612, USA
c
Stress and Memory Research Laboratory, Department of Psychology & VA Medical Center, University of South Florida, Tampa, FL 33612, USA
Received 24 April 2000; received in revised form 25 October 2000; accepted 2 November 2000
Abstract
Doubly transgenic mAPP+mPS1 mice (15–16 months) had impaired cognitive function in a spatial learning and memory task that
combined features of a water maze and a radial arm maze. Nontransgenic mice learned a new platform location each day during 4
consecutive acquisition trials, and exhibited memory for this location in a retention trial administered 30 min later. In contrast, transgenic
mice were, on average, unable to improve their performance in finding the hidden platform over trials. The cognitive performance of
individual mice within the transgenic group were inversely related to the amount of A deposited in the frontal cortex and hippocampus.
These findings imply that mAPP+mPS1 transgenic mice develop deficits in cognitive ability as A deposits increase. These data argue that
radial arm water maze testing of doubly transgenic mice may be a useful behavioral endpoint in evaluating the functional consequences of
potential AD therapies, especially those designed to reduce A load. © 2001 Elsevier Science Inc. All rights reserved.
Keywords: Alzheimer’s disease; Transgenic mice; Learning and memory; Radial arm water maze; Amyloid load; A deposition
1. Introduction
Alzheimer’s disease (AD) is characterized by progres-
sive, severe cognitive deficits which include impaired mem-
ory for recent events at an early stage of the disease process.
Two pathologic characteristics of the disease are A peptide
containing, congophilic amyloid plaques and neurofibrillary
tangles [49]. Although the extent to which either of these
features causes the dementia of Alzheimer’s disease re-
mains unresolved, both have been correlated with the degree
of cognitive decline in dementia [11,14,15,18,28,38,46].
One of the first to demonstrate a relationship between amy-
loid and cognitive function was Blessed et al. [3]. However,
this was disputed as primarily arising from an overall group
difference between control and demented patients; the cor-
relation disappeared when control cases were excluded [50].
In this study, synapse loss was argued to be the best corre-
late of cognitive decline in dements. Roses [47] has men-
tioned that because the presence of amyloid is required to
diagnose AD, and its absence required for “control” cases,
it would be impossible for amyloid not to correlate with
dementia rating when control cases are included. One of the
most careful studies found that both A deposits and neu-
rofibrillary tangles in entorhinal cortex correlate with de-
mentia rating, even when the control cases were excluded
[11]. A very recent study [46] found that elevated A
content in frontal cortex was predictive of declining cogni-
tive function in a large panel of carefully collected elderly
cases. The A elevations preceded neuritic pathology in this
patient set. However, even this study did not report corre-
lations between A measurements and dementia rating that
excluded nondemented cases. Therefore, the relationship
between A pathology and cognitive function in Alzhei-
mer’s disease remains a point of contention (see commen-
taries following [11]).
A small fraction of Alzheimer’s cases results from in-
heritance of an autosomal dominant mutation. Mutations in
at least three genes can account for the disorder in inherited
* Corresponding author. Tel.: +1-813-974-3949; fax: +1-813-974-
2565.
E-mail address: dmorgan@hsc.usf.edu (D. Morgan).
www.elsevier.com/locate/neuaging Neurobiology of Aging 22 (2001) 377–386
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