Memory and learning – using mouse to model neurobiological and behavioural aspects of Down syndrome and assess pharmacotherapeutics
Katheleen Gardiner
Mouse models are a standard tool in the study of many human diseases, providing insights into the normal functions of a gene, how these are altered in disease and how they contribute to a disease process, as well as information on drug action, efficacy and side effects. Our knowledge of human genes, their genetics, functions, interactions and biochemistry, has dramatically improved over the last few years. Recently, several different drugs have been shown to rescue learning and memory deficits in a major mouse model of Down syndrome. Here, we first review the challenges inherent in using mouse models in Down syndrome research and then describe the successful molecular/genetic interventions that are cause for cautious optimism. We then predict critical molecular abnormalities that can be tested for relevance to learning and memory and that are potential targets of existing pharmacotherapeutics.
doi:10.3104/reviews.2096
Introduction
Mouse models are a standard tool in the study of many human diseases, in basic research
and in preclinical assessment of potential therapeutics. Their use, in molecular,
cellular and behavioural experiments, can provide insight into the normal functions
of a gene, how these are altered in disease and how they contribute to a disease
process, as well as information on drug action, efficacy and side effects. Down
syndrome has long been regarded by many in both basic and clinical research as too
complex a challenge for effective pharmacological intervention. This attitude, however,
should change now that several different drugs have been shown to rescue learning
and memory deficits in a major mouse model of Down syndrome. The challenges in Down
syndrome have not become simpler, rather our knowledge of human genes, their genetics,
functions, interactions and biochemistry, has dramatically improved over the last
few years. Here, we first review the challenges inherent in using mouse models in
Down syndrome research and then describe the successful molecular/genetic interventions
that are cause for cautious optimism. Lastly, we predict critical molecular abnormalities
that can be tested for relevance to learning and memory and that are potential targets
of existing pharmacotherapeutics.
Challenges in modelling Down syndrome in mouse
i) Gene numbers and distribution
Human chromosome 21 encodes over 500 genes[1]. Current
knowledge of the functions of these genes is quite limited; we understand something
about the function of only one third and nothing at all about the remaining two
thirds[2,3]. Because we have no basis for
eliminating any genes as candidates for making some contribution to the features
of Down syndrome, we are left with a large and complex set of genes to be considered.
The basic molecular hypothesis in Down syndrome is that the extra copy of chromosome
21 will result in a 50% increase in the levels of RNA produced from each gene present
in three copies. Experiments, with human derived samples and mouse models, have
largely verified the prediction of increased RNA[4-8].
Again, data are limited, and they do not allow any significant reduction in the
number of genes that need to be considered in a thorough and comprehensive analysis.
ii) Mice are not little people in fur coats
Modelling any human disease in animals is always accompanied by limitations and
cautions. Because of the number of genes involved, Down syndrome presents unique
as well as common difficulties.
First, when we look at the locations of the best studied of human chromosome 21
genes, we find that they are located on three different mouse chromosomes. Of a
set of 170 genes, 112 are on located on mouse chromosome 16, 19 on mouse chromosome
17 and 39 on mouse chromosome 10 (see Figure 1). Thus, creating
a mouse that contains three copies of all genes corresponding to those on chromosome
21 is not trivial. In fact, it has not been accomplished, and technical, and possibly
biological, difficulties may make it impossible. Given that the largest number of
genes map to mouse chromosome 16, these genes have been the focus of model construction.
Figure 1 illustrates the current models and the proportion of the 112 genes they
contain. The most thoroughly studied of these is the Ts65Dn, because it has been
available the longest[9].

Figure 1 | Major mouse models of Down syndrome.
Reviewed in Seregaza[10]. See also refs 11,12,13.
Second, when the genomic DNA of mouse is analysed in detail for gene content, we
find significant differences from human chromosome 21. While approximately 540 genes
have been identified on human chromosome 21, in the corresponding regions of mouse
DNA, only 430 were identified[1]. Furthermore, only
200 human genes are sufficiently similar to mouse to be confident that they have
the same functions. Thus, based on current knowledge and with cautious interpretations,
we must assume that approximately 300 chromosome 21 genes may have human-specific
functions and approximately 200 genes may have mouse-specific functions. The take
home message is that, even if we produce a mouse that carries three copies of the
appropriate segments of chromosomes16, 17 and 10, it will lack some human genes
and carry other mouse genes. While this is a nuisance, it is logically not surprising;
it is reasonable to expect the differences between human and mouse are a result
of differences at the DNA level.
iii) Assessing learning and memory in mice
Much of human cognitive evaluation relies on language. While this is an obvious
limitation in the use of mouse models, there are other correlates of learning and
memory that have parallels in rodents and that can be used for evaluation of Down
syndrome-relevant deficits and drug efficacies. Most commonly in Down syndrome research
these have involved tests of hippocampal-based learning, in particular tests of
spatial learning and memory, such as the Morris Water Maze, Contextual Fear Conditioning
and Novel Object Recognition. These are important tests because the best assessments
of Down syndrome deficits implicate deficits in hippocampal function[14,15].
Notably, the Ts65Dn mice display deficits in each of these tasks[10,16].
We also need tests with sensitivity and resolution to discriminate levels of impairment
among genetically different mouse models and tests that assay impairment of other
specific brain regions that correlate with Down syndrome deficits. We also require
uniform application of behavioural testing: reliable comparisons among laboratories
of the deficits in different mouse models and of results of therapeutic testing
require the use of the same testing protocols. Such criteria have yet to be established
within the research community.
Thus, the challenges to use of mouse models in Down syndrome research are the large
number of genes on human chromosome 21, the differences in gene content and distribution
within mouse chromosomes, and the valid representation and interpretation of complex
Down syndrome-relevant learning and memory features in mouse.
Success, and cautions, in rescuing behavioural/neurobiological abnormalities in
mouse models
Table 1 lists recent success stories with reversing Down syndrome-like
features in Ts65Dn mice. Treatments include three pharmacological reagents: memantine,
pentylenetetrazole (PTZ) and fluoxetine (Prozac); two biological reagents: nerve
growth factor (NGF) and Sonic Hedgehog (Shh); and one genetic manipulation using
the chromosome 21gene APP. The results with memantine and PTZ are particularly exciting
because they demonstrate the rescue of learning/memory deficits as measured by three
tests of hippocampal function, the Morris Water Maze, Contextual Fear Conditioning
and Novel Object Recognition. Other interventions reversed abnormalities seen at
the cellular level, e.g. numbers of cells (fluoxetine, Shh) or premature loss of
function (NGF, APP), and their effects on learning and memory have yet to be assayed.
Table 1 also lists some advantages of each treatment and some significant limitations
of the current knowledge.
|
Treatment
|
Target
|
Phenotypic feature
|
Outcome
|
Reference
|
Advantages
|
Limitations
|
|
Memantine
|
NMDAR
|
Hippocampal-based learning deficit (CFC)
|
Rescue of CFC deficit
|
Costa et al. [17]
|
Approved for use in AD
|
Not tested in children
|
|
Pentylenetetrazole (PTZ)
|
GABRA
|
Hippocampal-based learning deficits (NOR; MWM)
|
Rescue of NOR, MWM deficits
|
Fernandez et al. [16]; Rueda et al. [18]
|
Effects lasted 3 months after last drug exposure
|
Not approved for human use; can induce seizures
|
|
Fluoxetine (Prozac)
|
Serotonin
|
Impaired neurogenesis
(hippocampus)
|
Improved neurogenesis
|
Clark et al. [19]
|
Approved for human use (mood disorders)
|
Not tested in children; effects on learning/memory not tested
|
|
Nerve growth factor (NGF)
|
TrkA, p75
|
Neurodegeneration
|
Rescue of cellular abnormality
|
Cooper et al. [20]
|
-
|
Effects on learning/memory not tested; no drug available
|
|
Activator of sonic hedgehog (SHH)
|
SHH
|
Cellular abnormalities in the cerebellum
|
Rescue of cellular abnormality
|
Roper et al. [21]
|
-
|
Effects on learning/memory not tested; increased cancer risk
|
|
Genetic reduction of APP (chr21 gene)
|
APP (chr21)
|
Failed NGF transport, neurodegeneration)
|
Partial rescue of cellular abnormality
|
Cataldo et al. [22]; Salehi et al. [23]
|
-
|
Effects on learning/memory not tested; no drug available
|
Tests of hippocampal-based learning: CFC: Contextual Fear Conditioning; NOR, Novel
Object Recognition; MWM, Morris Water Maze. AD, Alzheimer's Disease
|
Table 1 | Successful interventions using Ts65Dn mice: pharmacological,
biochemical and genetic
A critical point to note in Table 1 is that, with the exception of the APP gene,
none of the targets of intervention is a chromosome 21 gene. Instead, different
types of information led to the choices of interventions. Memantine and fluoxetine
were chosen based on their effects directly on chromosome 21 proteins or indirectly
on targets of chromosome 21 proteins. As shown in Figure 2,
multiple chromosome 21 proteins, including APP, directly and indirectly impact the
activity of the non-chromosome 21 protein complexes, calcineurin (CaN) and the NMDA
receptor, NMDAR. Both CaN and NMDAR play critical roles in normal neurological function,
including learning and memory. NMDAR is predicted to be over active in Down syndrome
due to the combined effects of inhibition of CaN and direct effects of additional
chromosome 21 proteins. Memantine antagonises the hyperactivity of NMDAR and thus
was predicted, correctly, to reverse effects of at least some chromosome 21 proteins[17].
Use of fluoxetine (Prozac), which targets the serotonin system, is also based on
a mechanistically sound prediction connected to chromosome 21 proteins. Neurogenesis,
production of new brain cells from neural precursors, is a normal ongoing process
in the adult hippocampus, and is believed to be required for normal hippocampal
function. It has been shown to be impaired in the Down syndrome mouse model Ts65Dn[19,24]. The implication
is that impaired neurogenesis will result in impaired hippocampal function. Overexpression
of the chromosome 21protein GIRK2 is predicted to impact the serotonin receptor
as shown in Figure 3 and as a result to impair neurogenesis. Figure
3 shows that perturbation of the serotonin pathway in Down syndrome is complicated
by interactions with additional chromosome 21 proteins.
The remaining treatments, PTZ, NGF and Shh, lack demonstrated connections to chromosome
21 proteins and were chosen instead because of their predicted effects on cellular/functional
abnormalities observed in the Ts65Dn mice. However, PTZ effects on GABRA may be
mediated through CaN[28] and therefore also have
an indirect association with multiple chromosome 21 proteins as shown in Figure
2.

Figure 2 | Chromosome 21genes directly and indirectly
impact calcineurin (CaN) and the NMDA receptor (NMDAR). Chromosome
21genes are shown shaded. Large arrows indicate targets of known pharmacological
reagents.
The results in Table 1 emphasise several important issues.
First and most positively, non-chromosome 21 proteins can be successful, and may
be preferable, targets for therapeutics when they can 'integrate' the effects of
multiple chromosome 21 proteins. This is clearly illustrated in Figures
2 and 3. The reason for optimism here lies in the
possibility that one or a small number of therapeutics may be combined to ameliorate
the effects of many critical chromosome 21 proteins, thus making the multi-gene
problem more tractable. Second, while our knowledge of the functions of chromosome
21 genes is incomplete, we can still form testable hypotheses regarding potential
therapeutics and examine their efficacy in mouse. Third, there are specific very
positive features of some of the interventions in Table 1.
Memantine and fluoxetine are already approved for human use (in Alzheimer's Disease
and depression, respectively); such approval greatly facilitates clinical trials
and review processes when and if extension of their use to Down syndrome is considered.
It is also encouraging that the effects of PTZ lasted for at least three months
following the last drug treatment.

Figure 3 | Pathways relevant to adult neurogenesis: predicting
perturbations in Down syndrome and effects of fluoxetine. Signalling
through 5HT1AR is required for neurogenesis; VEGF and BDNF are required for proliferation
of neural precursors and survival of newborn neurons, respectively. Serotonin (5HT)
levels are decreased in Down syndrome, possibly due to GIRK2 activation by 5HT1A
autoreceptors causing hyperpolarisation of the presynaptic membrane and inhibition
of 5HT release. Fluoxetine (FLX) blocks reuptake of 5HT and thus increases 5HT concentrations
and resultant signaling through the integrated pathways that involve cAMP, Ras/Erk
and PI3K/Akt, and that converge on CREB. Several chromosome 21 proteins (shaded)
interact with pathway components and are predicted to affect pathway flux when overexpressed.
Fluoxetine also alters functional properties of 5HT2CR (*) which may also be affected
by increased ADAR2(*). Solid arrows, activation; dashed arrows, indirect activation;
blunt lines, inhibition; dotted lines, alters functional properties. (Figure is
a composite from Warner-Schmidt and Duman, Banasr et al. and Gardiner et al. [25,26,27]). With the exception of ADAR2,
all chromosome 21 proteins are trisomic in the Ts65Dn mouse.
It is important, however, to keep in mind that the data in Table 1
represent the results of basic research, and while they are encouraging for their
potential for application in Down syndrome, they are not clinical data.
Each intervention has significant limitations that require resolution before clinical
application in Down syndrome is considered. Applicable to all entries in
Table 1 are the following: none has been approved for use in children, the
consequences of long term use are not known (i.e. side effects, loss of efficacy),
the extent of learning/memory benefits are not known (i.e. how many and which types
of deficits can be rescued), and, above all, because the Ts65Dn is not a perfect
model for Down syndrome, the effects on drug responses of the additional genes that
are trisomic in Down syndrome are not known and could be both significant and negative.
Prediction of critical genes and potential therapeutic targets
Recent advances in genetics and biochemistry have made it increasingly clear that
chromosome 21 proteins do not function independently. As shown in
Figures 2 and 3, many have been shown to impact the
same or overlapping biochemical pathways and cellular processes or share the same
targets, and may act synergistically or antagonistically. There are a number of
additional drugs/small molecules that could be used immediately in similar studies
with 'knowledge-based' targets: TIAM1/Rac, Dyrk1a, MAPK, calcineurin, NMDAR, GABRA,
neurogenesis (Figure 2, large arrows). These could be tested
relatively quickly in learning/memory tasks in the Ts65Dn, and results would strengthen
or refute the molecular basis of results in Table 1 and predictions
in Figures 2 and 3. Verification of
the learning/memory outcomes of several target-drug combinations would provide needed
confidence for the potential benefits of preclinical assessments and initial clinical
trials.
If a goal of Down syndrome research is knowledge-based identification of targets
and potential pharmacotherapeutics, an aggressive programme should include a broad
ranging survey for candidate chr21 genes and their connections to non-chromosome
21 genes with known functions in learning and memory processes. In
Table 2, we list a number of Down syndrome features, seen with variable
frequency and severity in the Down syndrome population, that directly or indirectly
impact learning and memory, and also list candidate genes. Genes were chosen because,
in each case, mutations have been identified that directly cause the specific feature.
In Down syndrome, of course, we do not look for mutations, but the rationale is
as follows: if a gene-specific mutation results, for example, in deafness, that
gene must function in a pathway relevant to some aspect of the hearing process or
development. Therefore it is conceivable that overexpression, as in Down syndrome,
of some or all variants of the same gene may perturb the same pathway with deleterious
consequences for hearing.
|
Feature
|
Frequency in Down syndrome
|
hromosome 21 gene associations
|
Non-chromosome 21 gene associations
|
|
Cognitive deficits
|
Normal distribution; mean IQ = 45;
range, 25-70
|
RCAN1, ITSN1, SYNJ1, DYRK1A, TIAM1, PCP4, BACH1, SOD1, APP; microRNAs;
*S100B; SIM2; DSCAM
|
NMDAR, MAPK, calcineurin, Ras, Elk, BDNF, GABRA; + 300 gene mutations associated
with cognitive deficits
|
|
Memantine response
|
Unknown*
|
RCAN1, ITSN1, SYNJ1, DYRK1A, TIAM1, PCP4, BACH1, SOD1, APP
|
NR1, NR2a,b, calcineurin, calmodulin, GSK3B, Akt, Erk1/2
|
|
Autism
|
7%
|
CXADR-BTG3-NCAM2 region
|
NLGN3, NLGN4X; GABRA4; NRXN1(?)
|
|
Seizures
|
7%
|
*CSTB, GRIK1 (JAE), GIRK2, HLCS,
|
+401 gene mutations associated with seizures
|
|
Hearing impairment
|
15%
|
CLDN14 (DFNB29), *TMPRSS3 (DNFB8,10), KCNE1 (JLNS1)
|
+277 gene mutations associated with deafness
|
|
Vision impairment
|
40%
|
*CRYAA, *CBS,* LSS
|
+155 gene mutations associated with vision impairment
|
|
Alzheimer's pathology
|
All
|
APP, BACE2
|
APPL1, APPL2, BACE1, PS1, PS2, APOE, MAPT
|
|
AD-like dementia
|
50% at age 50
|
APP, BACE2
|
APPL1, APPL2, BACE1, PS1, PS2, APOE, MAPT
|
|
Anxiety
|
?
|
*SUMO3, *NRIP1; MRAP
|
GR, BDNF; MC2R
|
|
Early menopause
|
?
|
*SUMO3, *NRIP1
|
ER
|
|
Inflammation
|
?
|
IFNAR1,2, IL10RB, IFNGR2,* S100B
|
IL1
|
|
Down syndrome features and frequency [29-33]. Chromosome 21 and non-chromosome
21: Online Mendelian Inheritance in Man (http://www.ncbi.nlm.nih.gov/sites/entrez?db=omim).
*, genes that are not present in the Ts65Dn model and thus their study requires
development of new mouse models.
|
Table 2 | Down syndrome features and variable frequency
and candidate gene associations
We include non-chromosome 21 genes for a similar rationale: one or more specific
variants of these genes, in the context of trisomy 21, may perturb normal functioning
of the same pathways.
Forty chromosome 21 genes are included in Table 2. Not all
of these can be studied in mice using the Ts65Dn and therefore additional mouse
models need to be constructed. Table 2 also includes hundreds
of non-chromosome 21 genes and it is likely that additional genes also contribute.
While this seems a daunting number, there are large scale molecular approaches,
such as microarray based procedures, that are now well established for handling
>20,000 genes and even entire genome surveys. There is also the more novel but
increasingly robust technique of high throughput DNA sequencing.
Large scale experiments may best be done with human DNA and this will require samples
from individuals with Down syndrome. To be effective, this means the establishment
of a bank of Down syndrome-derived DNAs, preferably as immortalised cell lines obtained
from blood samples, plus the linking of each sample to a consistently detailed description
of the individual's cognitive strengths and weaknesses. DNA banks, whole genome
surveys and construction of new mouse models require a multi-year commitment of
resources, including funding, and a realistic view of the time frame for translating
successful basic research findings to clinical treatments.
Conclusions
Preventing or ameliorating the cognitive deficits in Down syndrome remains a challenge.
However, recent successes with mouse models, increasing information on the functions
and interactions of chromosome 21 genes, and increasingly sophisticated and high
throughput technologies for assays of gene function suggest that an aggressive programme
to identify and test potential pharmacotherapeutics can be productive. While use
of mouse has practical advantages, it is important to be realistic about the limitations:
there are significant and poorly understood differences in gene makeup and biochemistry
between human and mouse that may affect the efficacy of any treatment; the costs
of an appropriately aggressive research programme are significant, and the time
and costs of clinical trials are considerably more so, especially when approval
is sought for a new drug. However, while outcomes are not guaranteed, the potential
is high for significant benefit to individuals with Down syndrome, and their families
and communities. This potential should be explored.
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Katheleen Gardiner is at the Department of Pediatrics, Human Medical Genetics Program,
University of Colorado, Denver, 12800 E. 19th Avenue, Aurora, Colorado 80045, USA.
Correspondence to Katheleen Gardiner • e-mail:
katheleen.gardiner@ucdenver.edu
Paper prepared from presentations and discussions at the Down Syndrome Research
Directions Symposium 2007, Portsmouth, UK. The symposium was hosted by Down Syndrome
Education International in association with the Anna and John J Sie Foundation,
Denver. Major sponsors also included the Down Syndrome Foundation of Orange County,
California and the National Down Syndrome Society of the USA. Information about
the symposium can be found at
http://www.downsed.org/research-directions/
doi:10.3104/reviews.2096
Received: 2 August 2008; Accepted: 9 August 2008; Published online: 24 October 2008