International Journal of Alzheimer’s Disease

International Journal of Alzheimer’s Disease / 2011 / Article
Special Issue

Genetic Risk Factors: Their Function and Comorbidities in Alzheimer's Disease

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Research Article | Open Access

Volume 2011 |Article ID 936580 |

Elin S. Blom, Yijing Wang, Lena Skoglund, Anita C. Hansson, Massimo Ubaldi, Anbarasu Lourdusamy, Wolfgang H. Sommer, Matthew Mielke, Bradley T. Hyman, Markus Heilig, Lars Lannfelt, Lars N. G. Nilsson, Martin Ingelsson, "Increased mRNA Levels of TCF7L2 and MYC of the Wnt Pathway in Tg-ArcSwe Mice and Alzheimer's Disease Brain", International Journal of Alzheimer’s Disease, vol. 2011, Article ID 936580, 7 pages, 2011.

Increased mRNA Levels of TCF7L2 and MYC of the Wnt Pathway in Tg-ArcSwe Mice and Alzheimer's Disease Brain

Academic Editor: Mikko Hiltunen
Received27 Oct 2010
Accepted24 Nov 2010
Published22 Dec 2010


Several components in the Wnt pathway, including β-catenin and glycogen synthase kinase 3 beta, have been implied in AD pathogenesis. Here, mRNA brain levels from five-month-old tg-ArcSwe and nontransgenic mice were compared using Affymetrix microarray analysis. With surprisingly small overall changes, Wnt signaling was the most affected pathway with altered expression of nine genes in tg-ArcSwe mice. When analyzing mRNA levels of these genes in human brain, transcription factor 7-like 2 (TCF7L2) and v-myc myelocytomatosis viral oncogene homolog (MYC), were increased in Alzheimer's disease (AD) ( ). Furthermore, no clear differences in TCF7L2 and MYC mRNA were found in brains with frontotemporal lobar degeneration, suggesting that altered regulation of these Wnt-related genes could be specific to AD. Finally, mRNA levels of three neurogenesis markers were analyzed. Increased mRNA levels of dihydropyrimidinase-like 3 were observed in AD brain, suggesting that altered Wnt pathway regulation may signify synaptic rearrangement or neurogenesis.

1. Introduction

Alzheimer’s disease (AD) is the most common form of dementia. The most prominent histopathological features of the AD brain are extracellular plaques, mainly containing amyloid-β (Aβ) peptides, and neurofibrillary tangles largely consisting of hyperphosphorylated tau. Studies on familial cases of AD have identified several disease-causing mutations in the genes for the amyloid-β precursor protein (APP) [1] and for the presenilins (PSEN1 and PSEN2) [2, 3]. In addition, the ε4 allele of the gene for apolipoprotein E (APOE) lowers the age at onset of sporadic late-onset AD in a dose-dependent manner [4, 5]. All these genetic variants result in increased levels or in an altered aggregation of Aβ, indicating a central role of Aβ in the disease process. However, it is still unclear which downstream pathways that are causing the synaptic dysfunction and cognitive failure seen in AD.

Gene expression studies have found a wide range of pathways that are altered in both human postmortem AD brains and transgenic mouse models of AD. Examples of such pathways include mitochondrial abnormalities, oxidative stress, inflammation, and calcium dyshomeostasis [6]. Moreover, the Wnt signaling pathway, consisting of a complex network of proteins, has been implicated in AD pathogenesis. For example, glycogen synthase kinase 3 beta (GSK3β) hyperphosphorylates tau [7] and increases levels of β-catenin in PSEN1 transgenic mice [8]. During Wnt signaling, β-catenin translocates to the nucleus where it forms complexes with transcription factor LEF/TCF (lymphoid enhancer factor/T-cell factor) and activates target gene expression. Finally, the Wnt pathway is also involved in cell differentiation and cancer development [9].

Transgenic AD mice models have been of importance to the understanding of disease mechanisms. One of these models, the tg-ArcSwe mouse, overexpresses human APP with the Swedish and the Arctic mutation. Studies on tg-ArcSwe mice suggest that intraneuronal Aβ aggregates, which appear at one month and increase with age before the onset of extracellular plaque deposition at six months [10, 11], may be responsible for the spatial learning deficits in these mice [12]. This mouse model would thus be suitable to study molecular changes related to early Aβ aggregation.

In this study we wanted to analyze and compare gene expression patterns between young tg-ArcSwe and nontransgenic mice. In addition, we aimed at investigating whether differentially expressed genes in this model also were altered in brains from AD patients.

2. Materials and Methods

2.1. Samples

Six tg-ArcSwe and six nontransgenic mice (littermates) were sacrificed by cervical dislocation. The brain stem, cerebellum, and olfactory bulb were removed by dissection, and the remaining hemispheres were frozen separately on dry ice and stored at −80°C until processed. All mice were approximately five months old and were of the same genetic background, C57Bl/6J (Table 1). The use of mice had been approved by the local ethical committee for research on laboratory animals.

Type Age (weeks ± SEM)% female

Tg-ArcSwe620.5 ± 1.533
Nontransgenic620.6 ± 1.467

Tg-ArcSwe: transgenic mice, Nontransgenic: nontransgenic littermates.

Human brain tissue from the anterior part of temporal neocortex of 13 AD cases and nine age-matched controls was obtained from the Alzheimer’s Disease Research Center (ADRC) at Massachusetts General Hospital in Boston, USA (Table 2). In addition, a separate set of tissues from the anterior part of frontal neocortex from nine cases with frontotemporal lobar degeneration (FTLD) and nine age-matched controls, also from ADRC, were included (Table 2). The tissues were stored at −80°C until processed. This study was approved by the Regional Ethical Committees in Uppsala, Sweden, and Massachusetts General Hospital, Boston, USA.

DiagnosisArea Age (years ± SEM)PMI (hours ± SEM)% female

ADTemporal ctx1379.8 ± 1.514.8 ± 1.546
CTemporal ctx979.8 ± 1.819.9 ± 3.944
FTLDFrontal ctx971.6 ± 3.412.9 ± 2.344
CFrontal ctx982.4 ± 2.619.3 ± 4.256

PMI: postmortem interval, AD: Alzheimer’s disease, C: control subjects, and FTLD: frontotemporal lobar degeneration.
2.2. RNA Extraction and cDNA Synthesis

Total RNA was extracted from both mouse and human brain tissues. The samples were homogenized in TRIzol (Invitrogen, Carlsbad, CA, USA), and total RNA was extracted according to the manufacturer’s protocol. The total RNA was further purified using RNeasy Mini Kit (Qiagen, Valencia, CA, USA), following the manufacturer’s protocol. Total RNA quantity was measured with NanoDrop ND-1000 UV-Vis Spectrophotometer (NanoDrop Technologies, Wilmington, DE, USA) and RNA integrity through the 28S : 18S rRNA ratio, as measured by the Agilent 2100 Bioanalyzer (Agilent Technologies, Palo Alto, CA, USA). First-strand cDNA synthesis was carried out on 2 μg total RNA with Superscript II first-strand synthesis kit for RT-PCR (Invitrogen), according to the manufacturer’s protocol. Finally, 2.5 ng of cDNA was used for quantitative PCR (qPCR).

2.3. Microarray Analyses

Individual total RNA samples from tg-ArcSwe and nontransgenic mice were hybridized to Affymetrix GeneChip Mouse Genome 430 2.0 arrays (Affymetrix, Santa Clara, CA, USA). Robust multichip average expression values were obtained from six arrays per group and further analyzed for differential expression. Using the Database for Annotation, Visualization and Integrated Discovery (DAVID) [13], differentially expressed genes with a -value of less than from the microarray analysis were classified into different molecular pathways according to the Kyoto Encyclopedia of Genes and Genomes (KEGG) [14]

2.4. Quantitative PCR

Levels of mRNA from selected genes were measured in mouse and human brain samples with qPCR using the SYBR green chemistry on the MyiQ Single Color Real Time PCR Detection System (Bio-Rad, Richmond, CA, USA). The samples were prepared in a volume of 25 μL, containing 2.5 ng cDNA, 2x Power SYBR Green PCR Master Mix (Applied Biosystems, Foster City, CA, USA), and 200 nM of each primer (sequences available upon request). Next, the mixture was denatured in 95°C (10 min.), followed by 40 cycles at 95°C (15 sec.) and 60°C (1 min.) before a final incubation at 95°C (1 min.). All primers were designed to have an annealing temperature of 60°C.

All samples were run in triplicates, including a calibrator sample. Wells without template were included as negative controls. Gene expression was determined relative to GAPDH and normalized to the calibrator sample using the 2−ΔΔCt method (Applied Biosystems). Primers were designed using Primer Express Software (Applied Biosystems) or obtained from online Real Timer PCR Primer and Probe Database [15]. Primers were evaluated in a qPCR efficiency test on a dilution series of template. Unpaired -tests with Welch correction were performed using GraphPad InStat (GraphPad Software, San Diego, CA, USA).

2.5. Western Blot on Human Brain Samples

For all subjects, human brain tissue samples from the same region as used for qPCR were homogenized in RIPA buffer (50 mM Tris (pH 8.0), 1% NP-40, 0.5% sodium deoxycholate, and 150 mM NaCl, 0.1% SDS) supplemented with Complete Protease Inhibitor Cocktail Tablet (Roche Applied Science, Indianapolis, IN, USA), 1000 μL per 50 mg tissue. The homogenate was incubated at 4°C for two hours under constant agitation. In the following, all incubation steps were at room temperature.

Forty μg of total protein from each homogenate was mixed with sample buffer (1x Laemmli buffer, 0.1% bromophenol blue, and 2.5% mercaptoethanol) and boiled (five min.) before SDS-PAGE on a 10–20% Tris-Tricine gel (Bio-Rad). Next, the proteins were transferred (over night) to a nitrocellulose membrane (Bio-Rad) and blocked (1 h.) in TBS with 5% milk powder (BioRad). After washing in TBS with 0.1% Tween (TBS-T), the samples were incubated with primary antibody (1 h.) and washed in TBS-T before incubation with fluorophore-conjugated secondary antibody (30 min.). After washing in TBS-T and TBS, respectively, fluorescence was detected with the Odyssey imaging system (LI-COR/Westburg, Leusden, Netherlands).

In order to adjust for unequal sample loading, the protein levels were calculated as a ratio to GAPDH levels. Therefore, after detection, the membranes were incubated with a primary GAPDH antibody (30 min.). Next, they were washed in TBS-T, followed by incubation with fluorophore-conjugated secondary antibody (30 min.). After washing in TBS-T and TBS, respectively, fluorescence was measured with the Odyssey.

As primary antibodies, C-33 (1 : 250, Santa Cruz biotechnology, Santa Cruz, CA, USA) was used for detection of MYC, ab60727 (1 : 500, Abcam, Cambridge, MA, USA) and 6H5-3 (1 : 500, Upstate, Lake Placid, NY, USA) for TCF7L2 and G9545 (1 : 10000, Sigma-Aldrich, St. Louise, MO, USA) for GAPDH. As secondary antibodies, IRdye 800CW-conjugated anti-mouse antibody (1 : 5000, Rockland, Gilbertsville, PA, USA) was used for MYC and TCF7L2 whereas Alexa fluor 680-conjugated anti-rabbit antibody (1 : 5000, VWR, West Chester, PA, USA) was used for GAPDH. All antibodies were diluted in 50/50 Odyssey buffer/TBS-T 0.2%.

2.6. Immunohistochemistry on Human Brains

Ten μm brain sections from tissue blocks embedded in paraffin from temporal cortex of five of the AD and four of the control brains were included for immunohistochemistry. The tissues were deparaffinized in xylene for ten minutes and incubated in H2O2/methanol for 20 minutes followed by hydration in decreasing concentrations of ethanol and H2O. Antigen retrieval was performed in citrate buffer (20 minutes, 10 mM, pH 6.0, 95°C). After a brief wash in PBS, the tissues were blocked in normal goat serum (NGS, 5%) followed by incubation overnight at 4°C with the primary antibody in 1.5% NGS (mouse anti-c-myc, 1 : 50, Santa Cruz Biotechnology; anti-TCF7L2 1 : 500, Millipore, Billerica, MA). Next day, the sections were washed in PBS followed by incubation with the secondary antibody in 1.5% NGS (biotinylated goat anti-mouse, 1 : 200). After additional washing in PBS, the Vectastain Elite ABC kit (Vector Labs, Burlingame, CA) and the DAB kit (Vector Labs) were used according to the manufacturer’s instructions. Finally, sections were washed in PBS and dehydrated in increasing concentrations of EtOH and xylene before they were mounted with Permount.

3. Results

Altogether 530 genes were found to be differentially expressed ( ) when comparing mRNA levels between six tg-ArcSwe and six nontransgenic mice. The altered genes were either down- or upregulated, ranging from 88% to 112% of the reference levels in nontransgenic mice. Using DAVID, the genes were categorized according to their respective KEGG pathways. Thereby, three pathways emerged as being particularly altered in the tg-ArcSwe mice: the thyroid cancer pathway, the adipocytokine signaling pathway, and the Wnt signaling pathway. Four of the genes with altered expression were previously described to be involved in thyroid cancer development, six of the genes in adipocytokine signaling, and nine of the genes in the Wnt signaling pathway. Of the Wnt-related genes, mRNA levels of TCF7L2, CCND3, MYC, NKD2, and PPP3CB were increased whereas mRNA levels of PLCB1, NFAT5, LEF1, and PPP2R2C were decreased in transgenic as compared to nontransgenic mice (Table 3).

GeneProteinTg-ArcSwe versus nontransgenicAD versus C
Fold change Fold change Fold change

CCND3Cyclin D31.10<.050.88n.s.1.14n.s.
LEF1Lymphoid enhancer-binding factor 10.92<.050.88n.s.0.90n.s.
MYCV-myc myelocytomatosis viral oncogene homolog1.09<.050.91n.s.2.02<.05
NFAT5Nuclear factor of activated T-cells 50.91<.050.96n.s.1.21n.s.
NKD2Naked cuticle homolog 2 (Drosophila)1.08<.051.05n.s.0.92n.s.
PLCB1Phospholipase C, beta 10.90<.010.99n.s.0.82n.s.
PPP2R2CProtein phosphatase 2, regulatory subunit B, gamma0.93<.051.21n.s.1.24n.s.
PPP3CBProtein phosphatase 3, catalytic subunit1.08<.051.03n.s.0.79n.s.
TCF7L2Transcription factor 7-like 21.10<.050.95n.s.1.43<.05

n.s.: not significant.

As the Wnt signaling pathway demonstrated the highest number of differentially expressed genes, we focused on this pathway for further analyses. First, we wanted to investigate whether the relatively small changes of the nine Wnt pathway genes could be detected with an independent technique. Therefore, we performed qPCR on cDNA preparations derived from the same RNA samples that were used for microarray analyses. However, after normalization to GAPDH, the small changes between transgenic and nontransgenic mice for the nine Wnt genes could not be verified with this method (Table 3).

When examining mRNA levels of the nine Wnt signaling pathway genes in human brains, two of the genes with increased mRNA levels in transgenic brains, TCF7L2 and MYC, displayed significantly increased mRNA levels also in AD brain ( ) as compared to nondemented control brain ( ) (both ) (Table 3, Figure 1). Moreover, the mRNA levels of these two genes were found to correlate with each other in the AD samples (Spearman , ) (Figure 1(c)). Unlike in transgenic mouse brains, the mRNA levels of the other seven investigated genes did not show any altered levels in AD as compared to brains from healthy controls (Table 3).

In order to elucidate whether the observed alterations in mRNA levels of TCF7L2 and MYC were AD-specific features or a result of the neurodegenerative process itself, the two genes were also analyzed in frontal neocortical tissue from a set of cases ( ) with frontotemporal lobar degeneration (FTLD) and compared to frontal cortex tissue from nondemented controls ( ). No significant differences were seen, although there was a trend for increased levels of TCF7L2 mRNA in the FTLD group ( ) (data not shown).

As the Wnt signaling pathway is known to be upregulated in neurogenesis, we wanted to explore whether the increased mRNA levels of TCF7L2 and MYC reflected neurogenesis in the AD brains. Thus, mRNA levels of two neurogenesis markers (neural cell adhesion molecule 1—NCAM1 [16] doublecortin—DCX [17]) and one marker for neurons that are migrating or undergoing axonal growth (dihydropyrimidinase-like 3—DPYSL3 [18]) were analyzed by qPCR. Only mRNA levels of DPYSL3 were increased in AD brain ( ) whereas the NCAM1 and DCX mRNA levels were unchanged as compared to control brains.

To investigate if the observed changes in mRNA levels of TCF7L2 and MYC were paralleled by changes in the corresponding proteins (transcription factor 7-like 2 and v-myc myelocytomatosis viral oncogene homolog), western blot and immunohistochemical analyses were carried out on temporal neocortex from the same AD and control subjects. For western blot, we used human brain tissue homogenates from the same regions as that used for the mRNA analyses. For transcription factor 7-like 2, no signals could be seen in any of the brains using either of two antibodies. For v-myc myelocytomatosis viral oncogene homolog, clear signals were obtained but no significant change was detected in the AD cases (not shown). For immunohistochemistry on temporal cortical sections, we obtained signals only from transcription factor 7-like 2 but could not see any differences between AD and control brains (not shown). For v-myc myelocytomatosis viral oncogene homolog, no signals were seen on immunohistochemistry from any of the tissues investigated (not shown).

4. Discussion

The amyloid cascade hypothesis [19] is widely accepted, but it is still unclear which form of Aβ that initiates the disease process or has the most neurotoxic properties. Studies have suggested that soluble Aβ oligomers are particularly toxic [20] and effects on gene expression by such Aβ species should therefore be of particular interest.

For this study, microarray analyses were performed on five-month old tg-ArcSwe mice with marked accumulation of intraneuronal Aβ and increased levels of soluble Aβ protofibrils in the brains [21]. For comparison, age-matched nontransgenic littermates were used. The fold changes in brain levels of various mRNAs from the transgenic mice were surprisingly small, ranging from 88% to 122% of that in nontransgenic littermates. These subtle changes could have been due to the fact that very young animals were used, when Aβ possibly does not yet affect biological pathways to a great extent. The relatively small differences could also have been explained by the fact that whole hemispheres were used for extraction of RNA. If only areas displaying intracellular Aβ had been used, the changes might have been more pronounced. Nevertheless, the genes found to be alternatively expressed in this microarray analysis may represent downstream molecular cascades triggered by the early formation of intracellular Aβ seen in this mouse model.

Three biochemical pathways—the thyroid cancer pathway, the adipocytokine signaling pathway, and the Wnt signaling pathway—were overrepresented among the genes that had altered mRNA levels in the transgenic mice. Nine genes from the Wnt pathway were found to be upregulated in the mice brain. Although the fold changes were very small and despite that we could not verify the increase for all nine mRNA species by qPCR, we decided to further study the Wnt pathway in postmortem AD brains. We then found that two of the nine investigated genes, TCF7L2 and MYC, had significantly increased mRNA levels also in AD brain. Both genes encode proteins that are part of the Wnt signaling pathway, in which the transcription factor 7-like 2 regulates transcription of the MYC gene [22]. This link in biological activity was also well illustrated by the correlation between the respective mRNA levels demonstrated in this study.

MYC is of particular interest as it has been illustrated on a transgenic mouse model that induction of this proto-oncogene can drive cell cycle re-entry and result in neuronal cell death, gliosis, and cognitive deficits [23]. Thus, the upregulation of MYC mRNA in human brain could possibly contribute to some of the neurodegenerative features seen in AD.

The observed increase in mRNA levels of TCF7L2 and MYC indicates an increase in Wnt signaling in AD pathogenesis. Accordingly, recent evidence suggests that levels of nuclear calcineurin are increased in post mortem AD brains [24]. On the contrary, other studies have reported increased levels of GSK3β, suggesting a repression of the Wnt signaling pathway in AD [25]. However, in our study the mRNA levels of both GSK3B and β-catenin were unchanged, both in tg-ArcSwe mouse brain and in AD brain (data not shown). In addition, the mRNA levels of PPP2R2C were slightly decreased in tg-ArcSwe mouse brain whereas they were nonsignificantly increased in the AD brain (Table 3).

The observed increase in mRNA levels of TCF7L2 and MYC between AD and control brains was not paralleled by increased levels of the respective proteins (transcription factor 7-like 2 and v-myc myelocytomatosis viral oncogene homolog). The discrepancy between mRNA and protein levels may be explained by a rapid turnover in brain of these signaling molecules.

Several lines of evidence suggest that both cell cycle activation and neurogenesis may be features in neurodegeneration. In the AD brain, cell cycle re-entry is believed to occur prior to the development of tangles and plaques (reviewed in [26]). Moreover, Wnt signaling has been demonstrated to be the principal regulator of adult hippocampal neurogenesis [27], which has been suggested to occur in the AD brain [28]. We therefore reasoned that an upregulation of the Wnt signaling pathway may be explained by an increased neurogenesis in the investigated brains. One of the analyzed genes known to be upregulated in neurogenesis indeed displayed increased mRNA levels in our samples, suggesting that an upregulated Wnt signaling pathway may be related to increased neurogenesis in the AD brain. On the other hand, mRNA levels of the two other neurogenesis-related genes investigated were not found to be changed in AD, thus making the interpretation more difficult.

Interestingly, TCF7L2 was shown to be associated with type II diabetes [29], and increased levels of TCF7L2 mRNA in human islets have been found in type II diabetes [30]. There are commonalities between AD and diabetes with both disorders being associated with amyloidogenic deposits, and patients with diabetes have been reported to be more prone to develop AD [31]. Also, soluble Aβ oligomers may impair insulin signaling in the brain through a reduction in neuronal surface insulin receptors [32]. Therefore, TCF7L2 may represent a molecular link between AD and diabetes pathogenesis.

In conclusion, we have compared gene expression patterns using microarray analysis of tg-ArcSwe and nontransgenic mice, indicating only subtle changes in mRNA levels in young tg-ArcSwe. Interestingly, we found that the tg-ArcSwe mice displayed altered mRNA levels of several members of the Wnt signaling pathway as compared to nontransgenic mice. Moreover, we have investigated whether differentially expressed genes in this model also had altered mRNA levels in brains from AD patients. The mRNA levels of two of these genes, TCF7L2 and MYC, were significantly increased also in AD brain ( ), whereas their levels were not significantly changed in frontal cortex of FTLD brains as compared to frontal cortex from control brains. Although the number of brains analyzed was limited, these results cautiously suggest that the observed differences may be AD specific, rather than a general feature of neurodegeneration. Finally, increased mRNA levels of a neuronal plasticity marker suggest that the upregulation of certain Wnt genes may give further support for ongoing neurogenesis in the AD brain.


This work was supported by The Swedish Research Council (2009-4567 (for L. Lannfelt); 2009-4389 (for L. N. G. Nilsson); 2006-6326, and 2006-3464 (for M. Ingelsson)), The Swedish Alzheimer Foundation, The Swedish Dementia Foundation, The Swedish Brain Foundation, The Swedish Society of Medicine, Gun and Bertil Stohne’s Foundation, The Freemason Foundation, Åhlén Foundation, Lundströms Minne, and APOPIS (Contract no. LSHM-CT-2003-503330). Also, the Uppsala University Transgenic Facility (UUTF) is greatly acknowledged for helping in developing the APP transgenic model.


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Copyright © 2011 Elin S. Blom et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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