Alzheimer’s disease (AD) is the most prevalent neurodegenerative disease in the Western world and is characterized by a progressive loss of cognitive functions leading to dementia. One major histopathological hallmark of AD is the formation of amyloid-beta plaques, which is reproduced in numerous transgenic animal models overexpressing pathogenic forms of amyloid precursor protein (APP). In human AD and in transgenic amyloid plaque mouse models, several studies report altered rates of adult neurogenesis, i.e. the formation of new neurons from neural stem and progenitor cells, and impaired neurogenesis has also been attributed to contribute to the cognitive decline in AD. So far, changes in neurogenesis have largely been considered to be a consequence of the plaque pathology. Therefore, possible alterations in neurogenesis before plaque formation or in prodromal AD have been largely ignored. Here, we analysed adult hippocampal neurogenesis in amyloidogenic mouse models of AD at different points before and during plaque progression. We found prominent alterations of hippocampal neurogenesis before plaque formation. Survival of newly generated cells and the production of new neurons were already compromised at this stage. Moreover and surprisingly, proliferation of doublecortin (DCX) expressing neuroblasts was significantly and specifically elevated during the pre-plaque stage in the APP-PS1 model, while the Nestin-expressing stem cell population was unaffected. In summary, changes in neurogenesis are evident already before plaque deposition and might contribute to well-known early hippocampal dysfunctions in prodromal AD such as hippocampal overactivity.
Alzheimer’s disease (AD) is an age-related neurodegenerative disease that leads to a progressive loss of cognitive functions [reviewed in 1, 2]. The most prominent histopathological hallmarks contributing to the cognitive decline are the formation of amyloid-beta plaques and neurofibrillary tangles [reviewed in 3, 4]. Whereas the mechanism of amyloid-beta plaque formation is still not fully understood, it is widely accepted that low molecular weight amyloid-beta aggregates such as oligomers act as toxic agents harming synapses and neurons, leading to altered synaptic function, neuronal loss, massive neuroinflammation, and finally contribute to dementia [reviewed in 5, 6]. Based on this, a number of transgenic AD animal models have been generated to simulate the amyloid-beta plaque burden found in humans and to study familial Alzheimer’s disease forms (FAD) with their human relevant genetic predispositions [7–9]. Two widely used AD mouse models are the single transgenic Tg2576 expressing the human APP with the Swedish mutation (Tg(HuAPP695. K670N- M671L)2576)  and the double transgenic APP Swedish PS1 dE9 mouse model, in which mice are expressing APP and PS1 mutations associated with early-onset AD forms, i.e. a chimeric mouse/human amyloid precursor protein (Mo/HuAPP695swe) and a mutant human presenilin 1 (PS1-dE9) both directed to CNS neurons under the prion protein promoter [11, 12]. Whereas the Tg2576 mouse model is a slow progressive mouse model developing amyloid-beta plaques and deficits in learning and memory at 9–13 months of age [10, 13], in the APP Swedish PS1 dE9 mouse model, amyloid-beta plaques start to form between an age of 3–4 and 9 months in the cortex and hippocampus [14–17]. Cognitive deficits in spatial working memory were observed starting already with 3–5 months of age in the double transgenic mouse model [reviewed in 18].
Adult hippocampal neurogenesis has been explored in the context of AD [reviewed in 19], as alterations in neurogenesis might contribute to cognitive dysfunctions in dementias, and as stimulation of hippocampal neurogenesis might counteract the cognitive decline [reviewed in 7, 20, 21]. In the adult rodent and human hippocampus, new neurons are generated and integrated into the hippocampal circuitry from so-called neural stem- and progenitor cells (NPCs) that reside in the subgranular cell layer (SGCL) of the dentate gyrus [22, 23, 24, 25, reviewed in 26]. Importantly, hippocampal neurogenesis is crucially involved in learning and memory [27, 28, reviewed in 29].
In AD and in animal models of AD, neurogenesis has been analysed, however with somewhat controversial results [30–33]. Nevertheless, the vast majority of studies report about decreased neurogenesis in AD mouse models often coinciding with amyloid-beta plaque pathology [reviewed in 21, 34]. For example, adult hippocampal neurogenesis is decreased in mice overexpressing the human APP with the Swedish mutation  but in mouse models harbouring the APP and the PS1 mutated genes decreased levels of neurogenesis  and increased levels of neurogenesis were reported in mice developing memory impairments and progressive plaque pathology . In contrast, neurogenesis was found to be increased in the APP model expressing the Swedish and Indiana mutation . In human AD patients, the number of cells expressing young immature neuronal markers was elevated compared to age-matched healthy controls . The differences described might rely on the different genotypes depending on the analysed AD mouse models, on the different methods used to asses neurogenesis, and of course, also on the different stages of progression of the disease or of the pathology [reviewed in 20, 21]. However, very little is known about differences in neurogenesis at the beginning of the disease or before the onset of amyloid-plaque formation.
As there is increasing awareness for the importance of the pre-symptomatic phase in neurodegenerative diseases in the context of early diagnosis and of pathogenesis [reviewed in 37, 38], we investigated the temporal pattern of amyloid-beta plaque deposition in the hippocampus and analysed corresponding levels of adult hippocampal neurogenesis from very early prodromal to severe stages of amyloid-beta plaque formation in the APP Swedish PS1 dE9 mouse model and in the slower progressing Tg2576 AD mouse model.
We used female APP Swedish PS1 dE9 mice [reviewed in 12] expressing a chimeric mouse/human mutant amyloid precursor protein (Mo/HuAPP695swe) and a mutant human presenilin 1 (PS1-dE9) both directed to CNS neurons under the prion protein promoter (Jackson Laboratory, https://www.jax.org/strain/005864). We analysed mice at 3, 10, and 13 months of age. Age-matched non-transgenics derived from the APP Swedish PS1 dE9 breeding were used as control animals (n = 6/group). Mice were housed at the University Hospital Bonn—Clinical Neuroscience in groups under standard conditions at a temperature of 22 °C and a 12 h light/dark cycle with ad libitum access to standard food and water. Animal care and handling were performed according to the Declaration of Helsinki and approved by local ethical committees. Transgenic female Tg2576 mice overexpressing human APP Swedish and wild type littermates at postnatal ages of 3 and 5 months (n = 6/group) were housed at the Medizinisch-Experimentelles Zentrum, University of Leipzig, at 12 h light/12 h dark cycles with standard food and water ad libitum. The use of experimental animals with Tg2576 was approved by the Landesdirektion Sachsen (licence 06/15).
For histological analysis of cell survival and fate, APP Swedish PS1 dE9 mice received intraperitoneal injections of 10 mg/ml of the thymidine analogue bromodeoxyuridine (BrdU) (Sigma) at 50 mg/kg of body weight dissolved in 0.9 % NaCl solution daily on 5 consecutive days 4 weeks before perfusion.
Perfusion and Tissue Processing
APP Swedish PS1 dE9 and Tg2576 animals were anaesthetised and transcardially perfused for immunohistochemistry as previously described [39, 40]. Following perfusion, the brains were extracted and postfixed in 4 % paraformaldehyde (PFA), sodium phosphate buffer solution (PBS, 0.1 M; pH = 7.4) over night at 4 °C. The brains were cryoprotected and transferred into 30 % sucrose, 0.1 M sodium phosphate buffer solution (pH = 7.4). Sagittal sections of 40 μm (APP Swedish PS1 dE9) and coronal sections of 30 μm (Tg2576) were cut on dry ice, using a sliding microtome.
Fluorescence Immunohistochemistry was performed on free-floating sections. Following washes of PBS (0.1 M, pH = 7.4), antigen retrieval was performed by steaming the sections for 15–20 min in citrate buffer (pH = 6.0, Sigma). For BrdU and PCNA labelling, the following steps were performed: the slices were incubated for 1 h at 65 °C in 50 % formamide (Merck) diluted in saline sodium citrate (SSC; 0.3 M NaCl, 30 mM Na3Ci, pH = 7.0, Sigma), washed in SSC, incubated in 2 M HCl (Merck) for 30 min at 37 °C, followed by incubation in 0.1 M borate buffer (pH = 8.5) for 10 min at room temperature (RT). Brain sections were washed in PBS and afterwards blocked for 1 h in FSGB + T (1 % BSA, 0.2 % fish skin gelatine and 0.1 % Triton X-100 in PBS, all from Sigma). Incubation with primary antibodies was done over night at room temperature (RT). The following primary antibodies were used: rabbit anti-doublecortin (1:300, Cell Signaling), goat anti-PCNA (1:300, Santa Cruz Biotechnology), mouse anti-NeuN (1:500, Millipore), mouse anti-Nestin (1:300, Abcam), rabbit anti-Iba1 (1:300, Wako), rat anti-BrdU (1:500, AbD Serotec), rabbit anti-Olig2 (1:200, Millipore), guinea pig anti-GFAP (1:500, Progen Biotechnik), mouse anti-Abeta (1:1000, Covance).
On the next day, sections were extensively washed in PBS and incubated for 3 h at RT in secondary antibodies diluted in FSGB + T. The following secondary antibodies were used: donkey anti-rabbit Alexa Fluor 568, donkey anti-mouse Alexa Fluor 488, anti-mouse Alexa Fluor 568, donkey anti-mouse Alexa Fluor 647, donkey anti-rat Alexa Fluor 488 (all Invitrogen), donkey anti-goat Alexa Fluor 647 (Jackson Immuno Research), donkey anti-guinea pig Alexa Fluor 647 (Dianova), all 1:1000.
Nucleus counterstaining was performed with 4′.6′-diamidino-2-phenylindole dihydrochloride hydrate (DAPI 1 mg/mL, 1:2000, Sigma). For qualitative amyloid-beta plaque staining, Thioflavin S (1 mg/mL, 1:625, Sigma) was added to the secondary antibody solution. Sections were washed in PBS after incubation with secondary antibodies and tissue from old mice (>9 months) was additionally treated with 0.2 % Sudan Black (Sigma) in 70 % EtOH for 1–2 min to reduce the autofluorescence of lipofuscin in old tissue. After this treatment, the sections were extensively washed in PBS and mounted onto microscope glass slides (Superfrost Plus, Thermo Scientific). Brain sections were cover slipped semi dry in ProLong Gold Antifade Mountant (Life technologies) or Fluorescence Mounting Medium (Dako).
Microscopy, Visualization and Image Processing
For microscopic analysis of the plaque area and analysis of adult hippocampal neurogenesis, Confocal Laser Scanning Microscopy was performed using a LSM 700 or LSM 710 from Zeiss. Representative images were obtained by orthogonal projections (maximum intensity) and depicted in respective false colours using Zen 2012 blue edition software. For quantification of the GCL volume, images of the dentate gyrus were taken with an Olympus fluorescence microscope (Olympus IX81).
Quantitative Analysis of Immunohistological Data
Volume Analysis of Dentate Gyrus Granular Cell Layer
To estimate changes in the volume of the dentate gyrus granular cell layer (GCL) between WT and APP Swedish PS1 dE9 animals, the DAPI and Thioflavin S stained area of the dentate gyrus GCL from one tenth of the brain hemisphere was measured for each animal using ImageJ (1.47v). The GCL volume for one hemisphere was calculated by multiplication with 10 (multiplication factor for whole brain hemisphere) and 40 (section thickness) for every animal (n = 3/group). Statistical analysis was performed with GraphPad Prism 6.
Quantification of Amyloid-Beta Plaque Areas
Five plaques in the hippocampus and 5 plaques in the cortex were analysed in three 10- and 13-month old APP Swedish PS1 dE9 animals and the area of the amyloid-beta stained plaque was measured using the LSM Image Browser software (Version 188.8.131.52, Zeiss). Statistical analysis was done with GraphPad Prism 6.
Quantification of Adult Hippocampal Neurogenesis
For the APP Swedish PS1 dE9 mouse model, all qualitative and quantitative analysis were performed in the dorsal dentate gyrus of the hippocampus of 40 μm sagittal sections. For quantification, every tenth section (400 μm intervals) of one brain hemisphere was selected from each animal (n = 6/group), and per animal four randomly selected visual fields of the DGs were analysed. Antibody-positive cell types were counted and quantified in the GCL and SGCL. The number of proliferating cells (PCNA+), neuroblasts (DCX+), stem cells (Nestin+), microglia (Iba1+) and double positive cells were assessed. Additionally, the number of BrdU+ cells and the number of newly formed cells such as neuroblasts (BrdU+/DCX+), neurons (BrdU+/NeuN+), oligodendrocytes (BrdU+/Olig2) and astrocytes (BrdU+/GFAP+) were quantified. The corresponding tissue area, i.e. GCL and SGCL, was measured and multiplied by 40 to obtain the tissue volume represented in cubic micrometre. To assess cell densities, the total number of counted cells per animal was divided by the dentate gyrus volume and represented as cells/cubic millimetre.
For analysis of hippocampal neurogenesis in the Tg2576 animal model, six randomly picked visual fields of DGs per animal of 30 μm coronal sections (−1.46 to −3.16 mm from Bregma) were selected. The number of proliferating cells (PCNA+), neuroblasts (DCX+) and double positive cells (PCNA+/DCX+) was counted in the GCL and SGCL of the dentate gyrus. The corresponding tissue area of GCL and SGCL was measured and multiplied by 30 to obtain the tissue volume represented in cubic micrometre. To assess cell densities, the total number of counted cells was divided by the dentate gyrus volume and represented as cells/cubic millimetre.
All analysis were performed using the ImageJ (1.47v) software. Statistical analysis was done with GraphPad Prism 6.
Statistical analysis was performed using the GraphPad Prism 6 (GraphPad Software). Data were tested for normality using the D’Agostino-Pearson omnibus normality test and outliers were identified by Grubbs’ test. Values between two groups were compared by the two-tailed unpaired Student’s t test for normally distributed data. Comparison of multiple groups was done by two-way analysis of variance (ANOVA) with Tukey multiple comparison.
P values of p < 0.0001 (****) and p < 0.001 (***) were considered most significant, p < 0.01 (**) highly significant, and p < 0.05 (*) significant. Values were expressed as means ± standard deviation (SD).
Amyloid-Beta Plaques Increase in Size and Disrupt the GCL of the Dentate Gyrus in APP Swedish PS1 dE9 Mice
We first aimed to determine the onset and the progression of amyloid-beta plaque formation in the hippocampus of APP Swedish PS1 dE9 mice, herein abbreviated APP-PS1 mice. In this transgenic mouse model, Thioflavin S positive amyloid-beta plaques are described to form at 3 months  or at 4 months of age in hippocampal and cortical regions . As the main scope of the present study was to focus on hippocampal neurogenesis in relation to plaque progression, we first analysed amyloid-beta plaque deposition in the hippocampus by Thioflavin S staining at different ages of the APP-PS1 animals.
Thioflavin S positive amyloid-beta deposits were detected in the hippocampus of 4 months old APP-PS1 mice, whereas 3-month-old transgenic animals were mostly devoid of any plaque deposits (Fig. 1a). In the Tg2576 AD mouse model, brains were free of amyloid-beta plaques at 3 months of age, sporadically, we observed small Thioflavin S positive plaque deposits at 5 months, while prominent plaque load was evident from 8 months on (data not shown). Amyloid-beta plaque load increased with age and was more prominent in the 10-month and even more in the 13-month-old APP-PS1 animals (Fig. 1a). Quantitative analysis revealed that the size of individual plaques, both in the hippocampus and in the cortex, still increased between 10 and 13 months of age (Fig. 1b). Brains of WT animals, regardless of age, were completely devoid of any amyloid-beta plaque depositions (data not shown).
Since hippocampus atrophy is a hallmark of AD, we evaluated possible volume changes of the dentate gyrus GCL in the hippocampus of the APP-PS1 mice. Whereas the 3- and 10-month-old animals did not display any differences in the GCL volume, the 13-month-old AD animals showed a significantly decreased GCL volume compared to age-matched WT controls (Fig. 1c). Interestingly, with progression of plaque pathology, we observed amyloid-beta plaques being located in the GCL of the hippocampus perforating the dentate gyrus structure (Fig. 1d). Thus, besides a general atrophy of the GCL, amyloid-beta plaque formation in the GCL and associated loss of neurons might contribute to GCL volume changes at late stages of AD pathology.
Taken together, small Thioflavin S positive amyloid-beta plaques were observed to form at 4 months of age in the hippocampus of APP-PS1 mice. With increased age, amyloid-beta plaque load was significantly increased in the hippocampus as well as in the cortex and amyloid-beta deposits were found to perforate the GCL structure most likely contributing to neurodegenerative events along pathology.
Hyperproliferation of Immature DCX Positive Neuroblasts at Pre-plaque Stages in APP-PS1 and Tg2576 Mice
Quantitative analysis of adult hippocampal neurogenesis in the GCL and SGCL of the dentate gyrus in the APP-PS1 mice and in Tg2576 mice was performed by immunohistochemistry. The rate of neurogenesis was determined by evaluating the numbers of proliferating cells (PCNA+), neuroblasts (DCX+) and proliferating neuroblasts (PCNA+/DCX+) at different time points. Furthermore, the stem cell pool was analysed by quantifying the numbers of Nestin+ cells.
As expected, the overall number of PCNA+ cells declined with age in WT as well as in APP-PS1 mice, in particular between 3 and 10 months of age (Fig. 2a). This age-related decline in the number of proliferating cells translated in a reduced number of DCX+ cells in both genotypes (Fig. 2b). Interestingly, while there was no difference in the proliferation rate between WT and APP-PS1 mice at advanced age, i.e. 10 and 13 months, young (3 months old) APP-PS1 mice showed a significantly higher number of proliferating cells in comparison to WT animals (Fig. 2a). This, however, did not lead to a higher number of DCX positive cells (Fig. 2b). Surprisingly, the numbers of PCNA+ cells co-expressing DCX (PCNA+/DCX+) were significantly increased in 3-month-old APP-PS1 animals compared to WT (Fig. 2c). Most of these proliferating neuroblasts were located in the SGCL and displayed an immature neuroblast morphology (Fig. 2c, arrow). This hyperproliferation of neuroblasts was not detected at later stages, i.e. 10 and 13 months of age, and can be considered as an early event prior to amyloid-beta plaque formation. We further investigated if the hyperproliferation of the DCX cells affected the stem cell pool in the 3 months old APP-PS1 animals by analysing the Nestin+ cell population. The number of Nestin+ stem cells and the number of PCNA+/Nestin+ cells was unchanged in 3-month-old AD and WT animals (Fig. 2d), suggesting that the stem cell niche was not depleted as a consequence of hyperproliferation.
The findings of hyperproliferation (PCNA+ cells) and hyperproliferating neuroblasts (PCNA+/DCX+) at very early stages in the APP-PS1 mice were confirmed in the Tg2576 AD mouse model. Here, adult hippocampal neurogenesis was analysed at two time points prior to plaque formation, i.e. in 3- and 5-month-old animals. Very similar to the APP-PS1 mice, the number of PCNA+ cells was significantly increased in 3-month-old Tg2576 animals compared to WT, whereas at 5 months of age this effect had already vanished (Fig. 2e). Similar to the APP-PS1 mice, the number of DCX+ cells was unchanged in Tg2576 compared to WT animals; however, the number of PCNA+/DCX+ cells was significantly increased in 3-month-old Tg2576 mice compared to WT. This hyperproliferation of neuroblasts diminished very rapidly and was not detected in 5-month-old Tg2576 animals.
Taken together, we observe early changes in adult hippocampal neurogenesis by terms of increased proliferation and increased numbers of proliferating neuroblasts prior to amyloid-beta plaque formation in two different mouse models for AD.
Reduced Cell Survival and Decreased Numbers of Newly Formed Neurons in 3-Month-Old APP-PS1 Animals
Next, we determined if the prominent hyperproliferation of DCX+ cells observed at the 3-months pre-plaque age translates into changes in cell survival and differentiation fate. Therefore, we analysed the survival rate and cell fate of the newly formed cells in the hippocampus of 3-month-old APP-PS1 mice. Animals received BrdU at 5 consecutive days starting 30 days before perfusion, and survival and fate of proliferating cells (BrdU+ cells) in the DG was analysed by co-staining with markers for neuronal progenitors (BrdU+/DCX+), newly formed neurons (BrdU+/NeuN+), astrocytes (BrdU+/GFAP+) and oligodendrocytes (BrdU+/Olig2+) (Fig. 3a).
Interestingly, in contrast to the hyperproliferation, the number of BrdU+ newly formed cells surviving the period of 30 days was significantly reduced in APP-PS1 compared to WT mice (Fig. 3b). Analysis of cells committed to the neuronal lineage (BrdU+/DCX+; BrdU+/NeuN+) revealed that after 30 days of BrdU injection, most of these previously dividing cells were already differentiated into NeuN+ new neurons (WT = 58,23 %; APP-PS1 = 39.06 %). The number of BrdU+/DCX+ cells was very low (WT = 9.93 %; APP-PS1 = 7.34 %), and did not differ significantly between APP-PS1 and WT animals. In contrast, the number of newly formed neurons (BrdU+/NeuN+ cells) in APP-PS1 animals was significantly reduced compared to WT (Fig. 3b, c). Analysis of the glial lineage did not show any changes in the number of BrdU+/Olig2+ or BrdU+/GFAP+ cells between APP-PS1 and WT animals (Fig. 3b, c). Interestingly, when analysing the potential fate of the BrdU+ cells, we noticed that APP-PS1 mice showed a decreased percentage of BrdU+/NeuN+ cells and a bigger pool of BrdU+ cells (BrdU+ only) that did not co-localize with any of the neuronal or glial lineage markers analysed (Fig. 3c).
Another cell type showing a considerable amount of proliferation in the adult brain, in particular under pathological conditions, is microglia. To test if microglia contribute to the observed hyperproliferation in 3-month-old APP-PS1 mice, we quantified the number of microglia (Iba1+) and proliferating microglia (PCNA+/Iba1+) in the GCL and SGCL of the dentate gyrus in 3-month-old APP-PS1 and WT animals. The numbers of Iba1+ cells and PCNA+/Iba1+ cells, the latter being extremely low, were not different in 3-month-old APP-PS1 compared to WT animals (Fig. 3d), suggesting that the observed increase in PCNA+ proliferating cells in 3-month-old APP-PS1 mice was not due to increased microglia proliferation.
Summarizing these observations, we conclude that in the hippocampal neurogenic niche of 3-month-old APP-PS1 mice, even though amyloid-beta plaques are not yet present, the survival of proliferating cells and their neuronal differentiation fate is significantly reduced in APP-PS1 compared to WT mice.
The present work demonstrates early alterations in hippocampal neurogenesis in two different amyloidogenic animal models of AD, the APP Swedish PS1 dE9 and the Tg2576 mice. Surprisingly, even before the appearance of any visible amyloid-beta plaques, neurogenesis was already affected. We noticed a strong hyperproliferation of DCX expressing neuroblasts specifically at the pre-plaque stage of pathogenesis. This, however, did not translate into a net increase in neurogenesis, as the survival of the newly generated cells was compromised already at this stage of pathogenesis. Even though this is purely speculative at this point, a surplus of hyperproliferating neuroblasts in the dentate gyrus might have functional consequences for the hippocampal network. It is well established that immature neurons in the adult hippocampus are electro-physiologically active, they are highly excitable and modulate the activity of the hippocampal circuitry [reviewed in 41–43]. Moreover, they are required for learning as their depletion in an experimental animal model abolishes the successful acquisition of spatial and reversal learning . One might speculate that the surplus of young proliferating immature neurons in the hippocampus at this pre-plaque stage might relate to well-known alterations of hippocampus function in prodromal AD in humans such as hippocampal overactivity as determined by functional MRI [44, 45]. An overactivity of the hippocampus at early stages of AD resulting in amnestic mild cognitive impairment (aMCI), is a dysfunctional condition being responsible for episodic memory loss in patients [46–48]. Treatment of aMCI patients with the anti-epileptic drug levetiracetam reduced the hippocampal hyperactivity to levels of healthy controls and even improved their memory function in memory tasks . It is very likely that hyperactivity of the hippocampus in prodromal AD stages is consolidated or even provoked by changes in neurogenesis such as increased proliferation of DCX expressing neuroblasts in the dentate gyrus. Alternatively, the hyperproliferation of DCX cells might relate to the increased seizure activity early in human AD and in AD mouse models [50, 51]. Video EEG recording of 3- to 4-month-old APP Swedish PS1 dE9 mice revealed 65 % of AD animals developing at least one electrographic seizure, with higher incidence at more advanced age . Either the hyperproliferation of neuroblasts might change hippocampal circuitry and contribute to seizures, or vice versa, the seizures might induce a hyperproliferation of the DCX cells. Indeed, seizures are well known to increase hippocampal progenitor proliferation and the number of DCX expressing neuroblasts [53, 54, reviewed in 55].
The present study complements a number of previous studies that had analysed adult hippocampal neurogenesis in different mouse models for AD, however with controversial results [reviewed in 19]. Conclusive evidence for decreased or increased neurogenesis in AD mouse models is not easily possible, taking into account the different ages of analysed mice cohorts studied, their individual genotypes corresponding to the mouse model, and the specific analysed cell populations in the different neurogenic niches. Nevertheless, the majority of studies report about decreased neurogenesis in AD mouse models [reviewed in 34]. In the APP Swedish PS1 dE9 animals, reports were mainly on animals with already settled amyloid-beta plaque formation and these studies mostly concluded a reduction in neurogenesis. Taniuchi et al. describe lower cell proliferation, i.e. reduced BrdU+ cell numbers after 3 days of consecutive BrdU injection, and reduced numbers of neuroblasts (DCX+ cells) in 9-month-old APP Swedish PS1 dE9 animals , i.e. the same model as in the present study. Additionally Taniuchi et al. analysed 5-month-old APP-PS1 animals; however, they did not observe any changes in neurogenesis at this age. Niidome et al. showed decreased numbers of proliferating cells (BrdU+ cells) in the SGCL of 9-month-old APP Swedish PS1 dE9 mice . In contrast, the present analysis did not reveal changes in dentate gyrus cell proliferation or in the number of neuroblasts in 10-month-old APP Swedish PS1 dE9 animals, i.e. a stage with severe plaque pathology. This might be due to the different methods used to detect cell proliferation. We analysed proliferation by the cellular expression of PCNA, a protein expressed by proliferating cells in late G1 and S-phase of mitosis . Others used BrdU labelling as a proliferation marker, which, depending on the time between cell labelling and animal perfusion, can provide different results. At the level of survival and fate of the newly generated cells, Verret et al. report reduced cell survival, i.e. the number of BrdU+ cells that were labelled 4 weeks before, and reduced numbers of newly formed neurons (BrdU+/NeuN+ cells) in the hippocampal dentate gyrus of 6-month-old double transgenic APP Swedish PS1 dE9 mice, which at this stage have already prominent amyloid-beta plaque depositions in the hippocampus . We demonstrate that the reduction of cell survival and formation of new neurons is evident already early in the development of Abeta pathology, prior to amyloid-beta plaque formation. This is consistent with the work by Demars et al., which describes reduced neuronal differentiation in 2-month-old APP Swedish PS1 dE9 animals .
The changes in neurogenesis at the pre-plaque stage were not restricted to the APP Swedish PS1 dE9 animals but also evident in the slower disease progression Tg2576 model. This is in agreement with the work by Krezymon et al., which describes increased numbers of proliferating cells in the hippocampus of 3-month-old Tg2576 mice . Furthermore, Krezymon et al. showed decreased numbers of newly formed neurons (BrdU+/NeuN+ cells) at this very early stage in the Tg2576 mouse model. The newly formed neurons had shorter and less arborized dendrites, fewer dendritic spines, and shorter axons and were not integrated into the hippocampal circuitry ultimately leading to a reduced survival of these cells .
What triggers the early changes in neurogenesis? Obviously, amyloid-beta forms might induce changes in the activity of hippocampal neural stem- and progenitor cells or even in the newly generated neurons. Soluble amyloid-beta peptides at low concentrations have a trophic effect and promote the survival of neurons . Also, other proteolytic products from APP, e.g. the sAPPalpha product, stimulate proliferation of adult SVZ NPCs . The effects of amyloid-beta and its different forms on neural stem cells (NSCs) are still controversial [reviewed in 21, 64]. For example, only aggregated amyloid-beta1–42 was able to induce neurogenesis in vitro. Thereby it is not affecting proliferation of murine NSCs; however, it increased the number of total neurons in vitro. Interestingly, only aggregated amyloid-beta1–42 and oligomeric amyloid-beta forms were able to increase neurogenesis in vitro, whereas non-aggregated forms of amyloid-beta1–40 or amyloid-beta1–42 had no effect on the NSC cultures . Another report demonstrates that amyloid-beta oligomers reduce proliferation of human neural stem cells and alter the fate of the newly generated cells from neuronal towards the glial lineage . Fibrillary amyloid-beta forms are heavily discussed to reduce neurogenesis in vitro. Human embryonic stem cell cultures and respective neurosphere cultures either treated with fibrillary amyloid-beta or conditioned media of human microglia treated with fibrillary amyloid-beta decreased neuronal differentiation and switched differentiation towards glial cells in vitro . In vivo, human amyloid-beta1–42 injected into the hippocampus of adult mice inhibited neurogenesis . Thus, the effect of amyloid-beta on neurogenesis is still controversial [reviewed in 7].
The increase in the number of proliferating neuroblasts is not limited to the prodromal stages of AD pathology but is also seen in other neurodegenerative diseases suggesting that other non-APP specific factors might contribute to modulation of neurogenesis in neurodegeneration. In rat models for Huntington disease, an increased number of proliferating neuroblasts can be detected at early stages of disease as well . Also, in alpha-synuclein transgenic models for Parkinson’s disease (PD), similar findings of reduced cell survival and reduced new neuron numbers are reported in 4-month-old mice, before PD symptoms are observed . A mechanism common to the various neurodegenerative diseases modulating neurogenesis might be neuroinflammation, in particular microglia activity [reviewed in 71]. We addressed this issue in the present work, but did not see any changes in the number of microglia or in the number of proliferating microglia.
Prodromal changes in neurogenesis are described in a variety of neurodegenerative diseases. Therefore, adult hippocampal neurogenesis is a process that is highly sensitive to changes and is already reflecting very early changes to the brains microenvironment. Our findings suggest that first changes of the neurogenic niche environment occur at very early prodromal stages of Abeta pathology and these alterations already have an impact on cell proliferation, cell survival and cell fate. Further investigation in particular on the functional relevance of the hyperproliferating DCX cells will be required.
Goedert M, Spillantini MG (2006) A century of Alzheimer’s disease. Science 314(5800):777–781
Selkoe DJ (2001) Alzheimer’s disease: genes, proteins, and therapy. Physiol Rev 81(2):741–766
Serrano-Pozo A et al. (2011) Neuropathological alterations in Alzheimer disease. Cold Spring Harb Perspect Med 1(1):a006189
Murphy MP, LeVine H 3rd (2010) Alzheimer’s disease and the amyloid-beta peptide. J Alzheimers Dis 19(1):311–323
Wyss-Coray T (2006) Inflammation in Alzheimer disease: driving force, bystander or beneficial response? Nat Med 12(9):1005–1015
Morris GP, Clark IA, Vissel B (2014) Inconsistencies and controversies surrounding the amyloid hypothesis of Alzheimer’s disease. Acta Neuropathol Commun 2:135
Mu Y, Gage FH (2011) Adult hippocampal neurogenesis and its role in Alzheimer’s disease. Mol Neurodegener 6:85
Philipson O et al. (2010) Animal models of amyloid-beta-related pathologies in Alzheimer’s disease. FEBS J 277(6):1389–1409
Schaeffer EL, Figueiro M, Gattaz WF (2011) Insights into Alzheimer disease pathogenesis from studies in transgenic animal models. Clinics (Sao Paulo) 66(Suppl 1):45–54
Hsiao K et al. (1996) Correlative memory deficits, Abeta elevation, and amyloid plaques in transgenic mice. Science 274(5284):99–102
Jankowsky JL et al. (2004) Mutant presenilins specifically elevate the levels of the 42 residue beta-amyloid peptide in vivo: evidence for augmentation of a 42-specific gamma secretase. Hum Mol Genet 13(2):159–170
Jankowsky JL et al. (2001) Co-expression of multiple transgenes in mouse CNS: a comparison of strategies. Biomol Eng 17(6):157–165
Kim TK et al. (2012) Analysis of differential plaque depositions in the brains of Tg2576 and Tg-APPswe/PS1dE9 transgenic mouse models of Alzheimer disease. Exp Mol Med 44(8):492–502
Garcia-Alloza M et al. (2006) Characterization of amyloid deposition in the APPswe/PS1dE9 mouse model of Alzheimer disease. Neurobiol Dis 24(3):516–524
Borchelt DR et al. (1997) Accelerated amyloid deposition in the brains of transgenic mice coexpressing mutant presenilin 1 and amyloid precursor proteins. Neuron 19(4):939–945
Volianskis A et al. (2010) Episodic memory deficits are not related to altered glutamatergic synaptic transmission and plasticity in the CA1 hippocampus of the APPswe/PS1deltaE9-deleted transgenic mice model of ss-amyloidosis. Neurobiol Aging 31(7):1173–1187
Hamilton A, Holscher C (2012) The effect of ageing on neurogenesis and oxidative stress in the APP(swe)/PS1(deltaE9) mouse model of Alzheimer’s disease. Brain Res 1449:83–93
Webster SJ et al. (2014) Using mice to model Alzheimer’s dementia: an overview of the clinical disease and the preclinical behavioral changes in 10 mouse models. Front Genet 5:88
Chuang TT (2010) Neurogenesis in mouse models of Alzheimer’s disease. Biochim Biophys Acta 1802(10):872–880
Winner B, Kohl Z, Gage FH (2011) Neurodegenerative disease and adult neurogenesis. Eur J Neurosci 33(6):1139–1151
Lazarov O, Marr RA (2010) Neurogenesis and Alzheimer’s disease: at the crossroads. Exp Neurol 223(2):267–281
Colucci-D'Amato L, Bonavita V, di Porzio U (2006) The end of the central dogma of neurobiology: stem cells and neurogenesis in adult CNS. Neurol Sci 27(4):266–270
Altman J (1962) Are new neurons formed in the brains of adult mammals? Science 135(3509):1127–1128
Eriksson PS et al. (1998) Neurogenesis in the adult human hippocampus. Nat Med 4(11):1313–1317
Spalding KL et al. (2005) Retrospective birth dating of cells in humans. Cell 122(1):133–143
Gage FH (2000) Mammalian neural stem cells. Science 287(5457):1433–1438
Vukovic J et al. (2013) Immature doublecortin-positive hippocampal neurons are important for learning but not for remembering. J Neurosci 33(15):6603–6613
Deng W, Aimone JB, Gage FH (2010) New neurons and new memories: how does adult hippocampal neurogenesis affect learning and memory? Nat Rev Neurosci 11(5):339–350
Shors TJ et al. (2012) Use it or lose it: how neurogenesis keeps the brain fit for learning. Behav Brain Res 227(2):450–458
Jin K et al. (2004) Enhanced neurogenesis in Alzheimer’s disease transgenic (PDGF-APPSw,Ind) mice. Proc Natl Acad Sci U S A 101(36):13363–13367
Dong H et al. (2004) Modulation of hippocampal cell proliferation, memory, and amyloid plaque deposition in APPsw (Tg2576) mutant mice by isolation stress. Neuroscience 127(3):601–609
Taniuchi N et al. (2007) Decreased proliferation of hippocampal progenitor cells in APPswe/PS1dE9 transgenic mice. Neuroreport 18(17):1801–1805
Krezymon A et al. (2013) Modifications of hippocampal circuits and early disruption of adult neurogenesis in the tg2576 mouse model of Alzheimer’s disease. PLoS One 8(9):e76497
Kuhn HG et al. (2007) Changes in neurogenesis in dementia and Alzheimer mouse models: are they functionally relevant? Eur Arch Psychiatry Clin Neurosci 257(5):281–289
Yu Y et al. (2009) Increased hippocampal neurogenesis in the progressive stage of Alzheimer’s disease phenotype in an APP/PS1 double transgenic mouse model. Hippocampus 19(12):1247–1253
Jin K et al. (2004) Increased hippocampal neurogenesis in Alzheimer’s disease. Proc Natl Acad Sci U S A 101(1):343–347
Nordberg A (2003) Toward an early diagnosis and treatment of Alzheimer’s disease. Int Psychogeriatr 15(3):223–237
Nestor PJ, Scheltens P, Hodges JR (2004) Advances in the early detection of Alzheimer’s disease. Nat Med 10(Suppl):S34–S41
Hartlage-Rubsamen M et al. (2015) Isoglutaminyl cyclase contributes to CCL2-driven neuroinflammation in Alzheimer’s disease. Acta Neuropathol 129:565–83
Marschallinger J, Sah A, Schmuckermair C, Unger M, Rotheneichner P, Kharitonova M, Waclawiczek A, Gerner P, et al. (2015) The L-type calcium channel Cav1.3 is required for proper hippocampal neurogenesis and cognitive functions. Cell Calcium 58:606–16
Schnell SA, Staines WA, Wessendorf MW (1999) Reduction of lipofuscin-like autofluorescence in fluorescently labeled tissue. J Histochem Cytochem 47(6):719–730
Couillard-Despres S et al. (2006) Targeted transgene expression in neuronal precursors: watching young neurons in the old brain. Eur J Neurosci 24(6):1535–1545
Vivar C, van Praag H (2013) Functional circuits of new neurons in the dentate gyrus. Front Neural Circ 7:15
Christian KM, Song H, Ming GL (2014) Functions and dysfunctions of adult hippocampal neurogenesis. Annu Rev Neurosci 37:243–262
Song J et al. (2012) Modification of hippocampal circuitry by adult neurogenesis. Dev Neurobiol 72(7):1032–1043
Yassa MA et al. (2010) High-resolution structural and functional MRI of hippocampal CA3 and dentate gyrus in patients with amnestic mild cognitive impairment. NeuroImage 51(3):1242–1252
Ewers M et al. (2011) Neuroimaging markers for the prediction and early diagnosis of Alzheimer’s disease dementia. Trends Neurosci 34(8):430–442
Dickerson BC et al. (2005) Increased hippocampal activation in mild cognitive impairment compared to normal aging and AD. Neurology 65(3):404–411
Lee JY et al. (2014) Spatial memory impairments in amnestic mild cognitive impairment in a virtual radial arm maze. Neuropsychiatr Dis Treat 10:653–660
Quiroz YT et al. (2010) Hippocampal hyperactivation in presymptomatic familial Alzheimer’s disease. Ann Neurol 68(6):865–875
Bakker A et al. (2012) Reduction of hippocampal hyperactivity improves cognition in amnestic mild cognitive impairment. Neuron 74(3):467–474
Palop JJ et al. (2007) Aberrant excitatory neuronal activity and compensatory remodeling of inhibitory hippocampal circuits in mouse models of Alzheimer’s disease. Neuron 55(5):697–711
Scharfman HE (2012) Alzheimer’s disease and epilepsy: insight from animal models. Future Neurol 7(2):177–192
Minkeviciene R et al. (2009) Amyloid beta-induced neuronal hyperexcitability triggers progressive epilepsy. J Neurosci 29(11):3453–3462
Rotheneichner P et al. (2013) Neurogenesis and neuronal regeneration in status epilepticus. Epilepsia 54(Suppl 6):40–42
Couillard-Despres S et al. (2005) Doublecortin expression levels in adult brain reflect neurogenesis. Eur J Neurosci 21(1):1–14
Kokaia M (2011) Seizure-induced neurogenesis in the adult brain. Eur J Neurosci 33(6):1133–1138
Niidome T et al. (2008) Differential regulation of neurogenesis in two neurogenic regions of APPswe/PS1dE9 transgenic mice. Neuroreport 19(14):1361–1364
Valero J et al. (2005) Proliferation markers in the adult rodent brain: bromodeoxyuridine and proliferating cell nuclear antigen. Brain Res Brain Res Protoc 15(3):127–134
Verret L et al. (2007) Alzheimer’s-type amyloidosis in transgenic mice impairs survival of newborn neurons derived from adult hippocampal neurogenesis. J Neurosci 27(25):6771–6780
Demars M et al. (2010) Impaired neurogenesis is an early event in the etiology of familial Alzheimer’s disease in transgenic mice. J Neurosci Res 88(10):2103–2117
Plant LD et al. (2003) The production of amyloid beta peptide is a critical requirement for the viability of central neurons. J Neurosci 23(13):5531–5535
Caille I et al. (2004) Soluble form of amyloid precursor protein regulates proliferation of progenitors in the adult subventricular zone. Development 131(9):2173–2181
Lazarov O et al. (2010) When neurogenesis encounters aging and disease. Trends Neurosci 33(12):569–579
Lopez-Toledano MA, Shelanski ML (2004) Neurogenic effect of beta-amyloid peptide in the development of neural stem cells. J Neurosci 24(23):5439–5444
Lee IS et al. (2013) Amyloid-beta oligomers regulate the properties of human neural stem cells through GSK-3beta signaling. Exp Mol Med 45:e60
Malmsten L et al. (2014) Fibrillar beta-amyloid 1-42 alters cytokine secretion, cholinergic signalling and neuronal differentiation. J Cell Mol Med 18(9):1874–1888
Zheng M et al. (2013) Intrahippocampal injection of Abeta1-42 inhibits neurogenesis and down-regulates IFN-gamma and NF-kappaB expression in hippocampus of adult mouse brain. Amyloid 20(1):13–20
Kandasamy M et al. (2010) Stem cell quiescence in the hippocampal neurogenic niche is associated with elevated transforming growth factor-beta signaling in an animal model of Huntington disease. J Neuropathol Exp Neurol 69(7):717–728
Winner B et al. (2004) Human wild-type alpha-synuclein impairs neurogenesis. J Neuropathol Exp Neurol 63(11):1155–1166
Heneka MT, Carson MJ, El Khoury J, Landreth GE, Brosseron F, Feinstein DL, Jacobs AH, Wyss-Coray Tony et al. (2015) Neuroinflammation in Alzheimer’s disease. Lancet Neurol 14(4):388–405
Open access funding provided by Paracelsus Medical University. The authors thank the microscopy core facility of SCI-TReCS (Spinal Cord Injury and Tissue Regeneration Center Salzburg) and Stephanie Schwartz and Disha Shah for their support with the animal work. The authors are grateful to K. Hsiao-Ashe for providing Tg2576 mice. This work was supported by the FWF Special Research Program (SFB) F44 (F4413-B23) “Cell Signaling in Chronic CNS Disorders”, by the FWF Hertha-Firnberg Postdoctoral programme n° T736-B24, by the State Government of Salzburg, Austria, (Stiftungsprofessur, and 20204-WISS/80/199-2014), through funding from the European Union’s Seventh Framework Program (FP7/2007-2013) under grant agreements n° HEALTH-F2-2011-278850 (INMiND), n° HEALTH-F2-2011-279288 (IDEA), n° FP7-REGPOT-316120 (GlowBrain), by grants of the German Research Foundation (RO 2226/13-1) and by the German Federal Department of Education, Science and Technology (BMBF #01ED1501B) within the JPND program CrossSeeds to SR.
Conflict of Interest
The authors declare that they have no conflict of interest.
Increased hippocampal neuroblast proliferation at pre-plaque stages.
Reduced cell survival and neuronal differentiation at pre-plaque stages.
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Unger, M.S., Marschallinger, J., Kaindl, J. et al. Early Changes in Hippocampal Neurogenesis in Transgenic Mouse Models for Alzheimer’s Disease. Mol Neurobiol 53, 5796–5806 (2016). https://doi.org/10.1007/s12035-016-0018-9
- Neural stem- and progenitors
- Alzheimer’s disease