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Functional Impairment of Microglia Coincides with Beta-Amyloid Deposition in Mice with Alzheimer-Like Pathology

  • Grietje Krabbe ,

    Contributed equally to this work with: Grietje Krabbe, Annett Halle, Helmut Kettenmann, Frank L. Heppner

    Current address: Gladstone Institute of Neurological Disease, San Francisco, California, United States of America

    Affiliation Max Delbrueck Center for Molecular Medicine (MDC), Berlin, Germany

  • Annett Halle ,

    Contributed equally to this work with: Grietje Krabbe, Annett Halle, Helmut Kettenmann, Frank L. Heppner

    Affiliations Department of Neuropathology, Charité-Universitätsmedizin Berlin, Berlin, Germany, Center of Advanced European Studies and Research (caesar), Bonn, Germany

  • Vitali Matyash,

    Affiliation Max Delbrueck Center for Molecular Medicine (MDC), Berlin, Germany

  • Jan L. Rinnenthal,

    Affiliation Department of Neuropathology, Charité-Universitätsmedizin Berlin, Berlin, Germany

  • Gina D. Eom,

    Affiliation Department of Neuropathology, Charité-Universitätsmedizin Berlin, Berlin, Germany

  • Ulrike Bernhardt,

    Affiliation Department of Neuropathology, Charité-Universitätsmedizin Berlin, Berlin, Germany

  • Kelly R. Miller,

    Affiliation Department of Neuropathology, Charité-Universitätsmedizin Berlin, Berlin, Germany

  • Stefan Prokop,

    Affiliation Department of Neuropathology, Charité-Universitätsmedizin Berlin, Berlin, Germany

  • Helmut Kettenmann ,

    Contributed equally to this work with: Grietje Krabbe, Annett Halle, Helmut Kettenmann, Frank L. Heppner (HK); (FLH)

    Affiliation Max Delbrueck Center for Molecular Medicine (MDC), Berlin, Germany

  • Frank L. Heppner

    Contributed equally to this work with: Grietje Krabbe, Annett Halle, Helmut Kettenmann, Frank L. Heppner (HK); (FLH)

    Affiliation Department of Neuropathology, Charité-Universitätsmedizin Berlin, Berlin, Germany

Functional Impairment of Microglia Coincides with Beta-Amyloid Deposition in Mice with Alzheimer-Like Pathology

  • Grietje Krabbe, 
  • Annett Halle, 
  • Vitali Matyash, 
  • Jan L. Rinnenthal, 
  • Gina D. Eom, 
  • Ulrike Bernhardt, 
  • Kelly R. Miller, 
  • Stefan Prokop, 
  • Helmut Kettenmann, 
  • Frank L. Heppner


Microglial cells closely interact with senile plaques in Alzheimer’s disease and acquire the morphological appearance of an activated phenotype. The significance of this microglial phenotype and the impact of microglia for disease progression have remained controversial. To uncover and characterize putative changes in the functionality of microglia during Alzheimer’s disease, we directly assessed microglial behavior in two mouse models of Alzheimer’s disease. Using in vivo two-photon microscopy and acute brain slice preparations, we found that important microglial functions - directed process motility and phagocytic activity - were strongly impaired in mice with Alzheimer’s disease-like pathology compared to age-matched non-transgenic animals. Notably, impairment of microglial function temporally and spatially correlated with Aβ plaque deposition, and phagocytic capacity of microglia could be restored by interventionally decreasing amyloid burden by Aβ vaccination. These data suggest that major microglial functions progressively decline in Alzheimer’s disease with the appearance of Aβ plaques, and that this functional impairment is reversible by lowering Aβ burden, e.g. by means of Aβ vaccination.


Microglial cells execute important functions in the brain. They constantly survey their surrounding and react to acute tissue injuries [1], [2]. In the healthy brain, microglia contact synapses for seconds, which can be prolonged up to one hour upon acute injury and eventually leads to the disappearance of the contacted neuronal structure [3], [4]. Microglia are also involved in shaping adult hippocampal neurogenesis through phagocytosis of apoptotic newborn neuroblasts [5]. Together, these data highlight that so-called “resting” microglia in the healthy brain are able to modify their environment, e.g. by their intrinsic phagocytic activity [6].

In Alzheimer’s disease (AD), microglia are attracted to β-amyloid (Aβ) plaques, produce elevated levels of proinflammatory cytokines and reactive oxygen species, and exhibit a change in morphology [7][11]. These phenotypical and morphological changes of microglia are commonly interpreted as an “activated” state [12], [13]. However, microglial activation is not an all-or-none process and the morphology of microglial cells does not necessarily match their functional state [14], [15].

A number of in vitro studies have not only shown that administration of Aβ stimulates the production of inflammatory cytokines and activation markers in microglial cells [8] but also triggers its uptake by receptor-mediated phagocytosis [16]. Further studies found that microglial cells internalize soluble, protofibrillar and fibrillar forms of Aβ [9], [17], [18] in vitro and in vivo by several mechanisms such as macropinocytosis or endocytosis, highlighting the general aptitude of microglia to remove Aβ. However, the question of whether resident microglia restrict Aβ plaque growth in AD has remained controversial, as the recruitment of microglia to Aβ plaques does not seem to result in their degradation [13], [18]. More importantly, we have recently found that temporary ablation of microglia has no effect on the formation and maintenance of Aβ plaques [19]. Interestingly, expression of receptors and enzymes involved in microglial Aβ-uptake and degradation is progressively downregulated in a transgenic mouse model of Alzheimer’s disease [20]. Thus, it has been suggested that microglia are possibly less efficient in removing and degrading Aβ at later stages of Alzheimer’s disease and become dysfunctional [13], [20].

In order to characterize putative progressive AD-associated changes in microglia not only at an expression level, but also functionally, we directly assessed and quantified microglial phagocytic and directed motile function in AD mouse models using two-photon microscopy and acute cerebral slice preparations. Furthermore, we reduced Aβ plaque burden in an Alzheimer’s disease mouse model by administering the Aβ-specific antibody Ab9 and assessed whether this interventional treatment restores AD-associated functional changes in microglia. Our data obtained from two different mouse models of Alzheimer’s disease reveals further insight into specific changes of microglial behavior during Alzheimer’s disease and suggest that Aβ plaque deposition and microglial function are closely interrelated.

Materials and Methods

Ethics Statement

All procedures involving handling of living animals were performed in accordance with the German animal protection law and were approved by the regional offices for health and social services in Berlin.

Mouse Models

APPPS1 mice, a transgenic mouse model of cerebral amyloidosis expressing human APP with the Swedish mutation (KM670/671NL) and human mutated PS1 (PS1-L166P) [21] were kindly provided by Mathias Jucker, University of Tübingen, Germany. APP23 mice, which express APP with the Swedish mutation [22] were provided by Novartis, Basel, Switzerland. For two-photon imaging experiments Cx3cr1gfp/gfp mice [23] were crossbred to APPPS1 mice and resulting offspring heterozygous for Cx3cr1GFP and/or for the APPPS1 transgenes was used for imaging experiments. Cx3cr1gfp/gfp mice were kindly provided by Frank Kirchhoff, University of Saarland, Germany. All mice were kept under standard housing conditions with a 12 h light/dark cycle and access to standard food and water ad libitum. Throughout this study transgene-negative littermates were used as controls except when using APP23 mice, where age-matched wildtype animals served as controls. Female and male mice were included in the experiments in an about equal distribution.

Primary Microglial Cell Culture

Microglial cultures were prepared from cerebral cortex of 1–3 day old APPPS1 and wildtype mice as previously described [24] and cultured in DMEM supplemented with 10% fetal calf serum, 2 mM L-glutamine, 100 units/ml penicillin and 100 µg/ml streptomycin. After establishment of an astrocytic monolayer, medium was additionally supplemented with 30% L929-conditioned DMEM (M-CSF-secreting mouse fibroblast cell line) to stimulate microglial proliferation. After separating microglia from the underlying astrocytic layer by shaking for one hour at 100 rpm, cells were seeded on glass coverslips at a density of 5×104/cover slip. Cultures were used for experiments one day after plating. Cell-culture media and supplements were purchased from PAA Laboratories GmbH (Cölbe, Germany).

Vaccination Paradigm

Ab9 (mouse anti Aβ aa. 1–16 IgG2a κ, QED Bioscience Inc.) or total nonspecific mouse IgG (control, SLM66; Equitech Bio) were injected intraperitoneally at 500 µg twice a week for 6 weeks in age-matched APPPS1 mice (n = 3 per group) or WT (n = 2 per group) starting at 170 days of age.

Preparation of Acute Brain Slices

Mice were decapitated and brains were carefully removed and washed in artificial cerebrospinal fluid (aCSF) containing (in mM): NaCl 134; KCl 2.5; MgCl2 1.3; CaCl2 2; K2HPO4 1.25; NaHCO3 26; D-glucose 10; pH 7.4. The buffer solution was saturated with carbogen (95% O2, 5% CO2). 130 µm thick coronal slices were prepared using a vibratome (Microm, Walldorf, Germany) at 4°C, and were kept in brain slice buffer at room temperature (21–25°C) for 2 h until the phagocytosis experiment was performed.

Assessment of Phagocytosis

To quantify microglial phagocytic activity in acute brain slices, experiments were performed in APPPS1 and non-transgenic littermates at 7–9 week and at 4 and 9 month (n = 3–4 per age group and genotype) of age, as well as in 20 month old APP23 mice and aged-matched wildtype mice (n = 3 per genotype). Acute brain slices or primary microglial cell cultures (3 independent experiments) were incubated with a suspension of FCS-coated Yellowgreen fluorescent carboxylated microspheres (3 µm diameter, Polysciences Europe GmbH) at a concentration of 1.7×107 microspheres/ml for 60 min (slices) or 30 min (cell culture) at 37°C, intensively washed and finally fixed with 4% paraformaldehyde. Brain sections and microglial cell cultures were stained with anti-Iba-1 and anti-Aβ (4G8) antibodies to visualize microglia and Aβ plaques, respectively.


Fixed brain slices and primary microglial cells were incubated with 0.75 µg/ml anti-Iba-1 antibody (Wako) and 0.5 µg/ml 4G8 antibody (Signet). 6.25 µg/ml donkey anti-rabbit Cy3, 2.5 µg/ml donkey anti-mouse DyLight 649 (Jackson ImmunoResearch) or 4 µg/ml Alexa Fluor 568 goat anti rabbit (Invitrogen) secondary antibodies were used. After washing, slices were incubated for 30 min with Hoechst 33258 (Sigma-Aldrich; 1∶10000) or DRAQ5 (Cell Signalling Technology; 1∶1000) in 0.1 M PB and mounted in Aqua polymount for further analysis using confocal microscopy.

Confocal Microscopy and Quantification of Phagocytosis

Confocal laser scanning microscopy was performed on Leica SPE and Zeiss LSM5 Exciter confocal microscopes with LAS AF and ZEN 2008 software, respectively. In brain sections derived from acute brain slices z-stacks of 20 µm thickness were performed using a 40x objective with a step size of 1 µm beginning from the top of the slice, where the microspheres are located. Beads per cell were counted using Image J MacBiophotonics cell counter plugin ensuring that only beads inside a cell were counted as positive. The phagocytic index was determined by assessing the percentage of cells which contained 0, 1–4, 5–7, 8–10 and >10 microspheres per cell. The percentage of cells in each group was multiplied by the corresponding grade of phagocytosis (1–4∶1, 5–7∶2, 8–10∶3, >10∶4). The sum of the products in each group was then termed and displayed as phagocytic index [25]. 4–15 ROIs (i.e. fields of view) were analyzed per animal.

Plaque Load Assessment

Brain sections were incubated in 0.001% Thiazine Red (Sigma) solution in 0.1 M PB, thereby labeling the β-sheet structure of dense core plaques [26]. Thiazine Red-positive plaques were quantified by scanning cerebral sections with a Nikon Ti Epsilon microscope using a TRITC FL-filter set and fixed acquisition settings. Large images of whole coronal brain section were obtained by stitching single images using NIS Elements software. Coverage of respective brain area (cortex, hippocampus, cerebellum) by Thiazine Red-positive plaques was quantified by analyzing images using Image J with a fixed intensity threshold. Staining artifacts were manually removed prior to analysis. 3–4 whole coronal brain sections were analyzed per animal and respective brain region.

Two-photon Imaging of Acute Brain Slices

300 µm thick acute coronal slices were prepared from 10 month old mice (3 mice per genotype) and stained with 0.001% Thiazine Red in aCSF for 10 min before imaging experiment. Imaging was performed with a two-photon laser scanning microscope directly coupled to a Chameleon ultrafast laser (Coherent). In order to create a discrete laser lesion, the laser was focused at −35 µm depths from the surface of the z-stack at a wavelength of 800 nm until autofluorescence was visible. In APPPS1-Cx3cr1+/gfp mice laser lesions were placed next to an Aβ plaque with a maximum distance to a neighboring Thiazine Red-positive plaque of 80 µm. For monitoring microglial responses 60 µm z-stacks were imaged with a step size of 3 µm covering a field of 307.2×307.2 µm every minute for 60 min. Recordings were analyzed with Image J MacBiophotonics, as adapted from Davalos et al. 2005 [2]. For calculating the average microglial response 7 (Cx3cr1+/gfp) or 8 (APPPS1-Cx3cr1+/gfp) ROIs from 4 mice per genotype were analyzed.

In vivo Imaging

For intravital imaging, β-amyloid plaques were labeled with methoxy-XO4 (10 mg/kg) as described [27]. Methoxy-XO4 was kindly provided by William Klunk, University of Pittsburgh, USA. Before surgery mice were anesthetized by i.p. injection of a xylazine and ketamine mix in physiological saline (9.2 and 131 mg/kg body weight correspondingly). At approximately the center of the parietal bone a small cranial window with a 1.5–2 mm diameter (corresponding to an area of 1.8–3 mm2) was prepared using a high-speed dental drill. A circular bone fragment was carefully removed and the dura mater was left intact. Focal lesion and time-lapse recording was started 30 min after the surgical procedure to ensure absence of bleeding. All in vivo recordings were made in a time interval between 30 min and 8 h after the surgical procedure. The skull was fixed to the microscope stage and aCSF was placed into the chamber to allow imaging using a water-immersion objective (20x, NA 0.95, WD 2 mm; Olympus, Germany). Imaging was performed by a commercially available multiphoton imaging system (TriM Scope I, LaVision BioTec, Germany), equipped with a Ti:Sa laser (Chameleon Ultra II, Coherent). Fluorescence (GFP excitation wavelength 920 nm, methoxy-XO4 excitation wavelength 800 nm) was collected by three non-descanned PMT-detectors using dichroic mirrors and three interference filters (593/40 nm, 525/50 nm and 447/40 nm). XYZ-Stacks were collected every minute with a z-plane distance of 2 µm at a frequency of 400 Hz covering a depth range of 20 µm to 80 µm. The focal laser lesion was applied at a depth of 60 µm by steering the laser spot to the center of the field of view and irradiating for 300 ms with 50 mW energy at 920 nm. Microglial response was analyzed as described above with 8 (Cx3cr1+/gfp) and 6 (APPPS1-Cx3cr1+/gfp) ROIs from 3 mice per genotype.

Statistical Analysis

Data sets were tested for normality by Shapiro-Wilks Test using SPSS. Two-sided levels of significance were determined by using the non-parametric Mann-Whitney-U- Test or the parametric T-Test according to the distribution and are depicted as *p<0.05, **p<0.01, ***p<0.001. Data are presented as mean ± s.e.m. For statistical analyses matching regions of interest (ROI) of multiple acute brain slices or cell cultures derived from various mice per experimental group were assessed as indicated and analyzed in a standardized fashion.


Directed Microglial Process Motility Towards Acute Tissue Lesion is Impaired in Transgenic AD Mice

Microglia respond to defined tissue injuries by extending their processes towards the lesion in an ATP-dependent fashion [2]. We used this canonical function of microglia as a measure to evaluate their functionality in an AD mouse model in vivo by intravital time-lapse two-photon microscopy. Notably, the ability of microglia for directed extension of their processes towards a lesion was largely reduced in Aβ plaque carrying APPPS1-Cx3cr1+/gfp mice (Fig. 1A and B and Videos S1 and S2), which were obtained by crossbreeding APPPS1 mice, a mouse model of cerebral amyloidosis [21] with Cx3cr1gfp/gfp mice [23], a mouse model that allows visualization of microglia. Aβ plaques were labeled by intraperitoneal injection of Methoxy-XO4 [27]. Whereas microglia from 8 month old Cx3cr1+/gfp control animals moved their processes towards the laser-induced injury with an average peak response of 2.44±0.6 arbitrary units (a.u.), we only detected a sparse response of microglia in 8 month old APPPS1-Cx3cr1+/gfp mice, which harbor a substantial Aβ burden at that age (average peak response of 0.44±0.22 a.u., Fig. 1A and B). Since in situ experiments using acute cerebral slices allow stringent quantification of microglial response in a high number of experiments, we additionally conducted two-photon microscopy studies in acute coronal cerebral slices. Here, microglia exhibited slightly slower but otherwise similar process motility towards the lesion as compared to in vivo experiments. Importantly, microglial response towards the laser lesion in acute cerebral slices from 10 month old Aβ plaque-carrying APPPS1-Cx3cr1+/gfp mice were significantly reduced compared to their Cx3cr1+/gfp littermates (Fig. 1C and D, Videos S3 and S4). Together, these data indicate that lesion-directed process extension as a typical functional feature of microglia is severely impaired in APPPS1 mice that harbor Aβ plaques.

Figure 1. Lesion-directed microglial process movement is impaired in a mouse model of cerebral amyloidosis.

(A) Representative intravital two-photon microscopy images and (B) time course of microglial process movement towards a laser-induced micro-lesion (dashed circle) in 8 month old live anaesthetized APPPS1-Cx3cr1+/gfp (n = 6) and Cx3cr1+/gfp mice (n = 8). Aβ plaques are stained with Methoxy-XO4 (blue, *). (C) Representative images and (D) relative microglial response to laser lesions in acute cortical cerebral slices of 10 month old APPPS1-Cx3cr1+/gfp (n = 8) and Cx3cr1+/gfp (n = 7) mice. Aβ plaques are stained with Thiazine Red (red, *). Data are mean ± s.e.m, *p<0.05. Scale bars: 10 µm. a.u. = arbitrary units.

Phagocytic Activity of Cortical Microglia is Impaired in APPPS1 and APP23 Mice

We next aimed to investigate another key function of microglia - their phagocytic capacity. Since directed microglial process motility was similarly impaired when assessed intravitally or in acute cerebral slices derived from APPPS1 mice, we reasoned that defined microglial functions are adequately reflected in acute cerebral slice preparations. As microglia in different brain regions, including cerebellum and hippocampus, can be readily evaluated with this in situ method, we used cerebral slice preparations to investigate microglial phagocytic capacity and quantified uptake of fluorescent polystyrene microparticles by microglia of APPPS1 mice as described previously [25]. Likewise to the impaired directed process extension, microglial phagocytic activity in 9 month old APPPS1 mice was significantly reduced when compared to wildtype littermates (Fig. 2A).

Figure 2. Phagocytic capacity of cortical microglia is impaired in two mouse models of cerebral amyloidosis.

(A) Representative images (left) and microglial phagocytic index (in arbitrary units, a.u., right) of 9 month old APPPS1 mice and wildtype littermate controls (3 mice per genotype; p<0.001). Images show microglia (Iba-1, red), Aβ (4G8, blue) and fluorescent microspheres (green). Orthogonal views of z-stack images are shown in the bottom panel. (B) Representative images (left) and microglial phagocytic index of 20 month old APP23 and age-matched control mice (3 mice per genotype, p<0.001, right) are shown. Data are mean ± s.e.m, ***p<0.001. Scale bars: 10 µm.

Mutations of PS1 have been suggested to influence the phagocytic activity of cells [28], [29]. To prove that functional decline of microglia is a general feature of AD pathology, and to exclude an impact of the PS1 transgene on microglia in APPPS1 mice unrelated to amyloid pathology, we assessed microglial phagocytic activity in APP23 mice, a transgenic mouse model of cerebral amyloidosis that is based on transgenic expression of APP with the Swedish mutation [22], but not of mutated PS1. Again, using in situ quantification of microglial phagocytosis, we detected a drastic impairment of microglial phagocytic activity in APP23 mice (Fig. 2B). While we formally cannot exclude an – overall rather unlikely - impact of the APP-transgene on the performance of microglia from APP23 mice, these data indicate that microglial dysfunction occurs in cerebral amyloidosis mouse models irrespective of the transgenic strain used and, thus, is dependent on cerebral amyloidosis.

Impairment of Microglial Phagocytic Capacity Correlates Temporally and Spatially with the Appearance of Plaques

To test whether the observed impairment of microglial phagocytosis depends on Aβ plaque deposition, we compared microglial phagocytosis in 7–9 week old APPPS1 mice that had not yet developed detectable amyloid plaque burden to 7–9 week old APPPS1 mice that showed first cortical amyloid plaques (Fig. 3A and Fig. S1), as detected by 4G8 immunohistochemistry or Thiazine Red staining. Importantly, in slices prepared from 7–9 week old APPPS1 mice lacking cortical plaque load, microglial phagocytosis was as efficient as in wildtype littermates. However, we observed a significant reduction in phagocytosis in acute slices from 7–9 week old APPPS1 mice that showed first cortical amyloid plaques (Fig. 3A). In slices from 4 month old APPPS1 mice with significant cortical plaque load (Fig. 3A and Fig. S1), impairment of microglial phagocytosis was already similar to 9 month old APPPS1 mice (Fig. 3A). Overall, relative microglial phagocytic activity and cortical Aβ plaque burden exhibited a significant inverse correlation with a Spearman’s correlation coefficient of ρ (rho) = −0.75 (p = 0.0014, Fig. 3B).

Figure 3. Impairment of microglial phagocytosis in APPPS1 mice correlates with Aβ plaque deposition.

(A) Aβ plaque load (brain area covered by Thiazine red-positive plaques) and relative microglial phagocytic activity normalized to corresponding wildtype littermate in the cortex of 7–9 week, 4 and 9 month old APPPS1 mice. 7–9 week old mice were sub-classified according to apparent 4G8 positive plaque deposition as with (+) or without (−) detectable plaque load. (B) Correlation between extent of plaque load and relative microglial phagocytic activity in the cortex of APPPS1 mice. (C, D) Thiazine red-covered area and relative phagocytic activity of microglia in the hippocampus of 7–9 week and 4 month old mice (C) and in the cerebellum of 4 month old APPPS1 mice (D). Absolute values of microglial phagocytic indices from APPPS1 mice were normalized to wildtype littermate controls (3–4 mice per age group and genotype, ***p<0.001). (E) Phagocytic index (3 independent experiments, p = 0.181) and representative images of primary microglial cultures from wildtype and APPPS1 mice. Microglia (Iba-1, red), nuclei (DRAQ5, blue) and microspheres (green). All data are mean ± s.e.m, *p<0.05, **p<0.01. a.u. = arbitrary units. Scale bars: 10 µm.

To further establish the interconnection of Aβ plaque appearance and microglial dysfunction, we investigated microglial phagocytosis in various brain regions of APPPS1 mice differing in the onset of plaque deposition [21]. In plaque-bearing cortices of 7–9 week old APPPS1 mice, phagocytic activity was impaired, whereas it was normal in still plaque-free hippocampi of the same APPPS1 animals (Fig. 3C and Fig. S1). Moreover, phagocytic capacity was impaired in hippocampi from 4 month old APPPS1 mice, when plaques were present in that region. Importantly, in the cerebellum, which is devoid of plaques even in aged APPPS1 mice ([21] and Fig. S1), phagocytic capacity remained unaltered also at 4 months of age (Fig. 3D).

Furthermore, we did not observe a significant difference in the phagocytic capacity of primary microglia derived from non-transgenic or APPPS1 mice at postnatal day 1–3, i.e. prior to plaque deposition (Fig. 3E), indicating that impairment of phagocytosis is acquired in the presence of Aβ plaques over time.

Aβ-plaque Load Reduction by Anti-Aβ Antibody Administration Restores Microglial Phagocytic Capacity in APPPS1 Mice

Finally, we investigated whether the functional impairment of microglia in plaque-bearing AD mice is reversible by interventions aimed at lowering Aβ burden. One way to counteract progressive Aβ plaque deposition is Aβ vaccination resulting in reduced plaque burden and increased number of Aβ-laden microglia in the cortex of AD patients [30]. Additionally, clearance of amyloid deposits and increase in microglial response was observed by in vivo imaging after stimulation with Aβ-specific antibodies when administered directly to an open skull preparation in a mouse model of AD [31].

Amyloid plaque burden was therefore reduced in 5 month old plaque-carrying APPPS1 mice by passive Aβ vaccination administering the anti-Aβ antibody Ab9 [32] biweekly for six weeks. This treatment significantly diminished Thiazine Red-stained dense core plaques in the hippocampus of APPPS1 mice, while there was no significant reduction of amyloid in the cortex when compared to control IgG-treated APPPS1 littermates (Fig. 4B left, 4A left). Strikingly, in accordance with the regional reduction in cerebral amyloid plaques, microglial phagocytic activity, measured in acute cerebral slices, was restored to levels found in Ab9- or IgG-treated wildtype mice exclusively in the hippocampus (Fig. 4B right). In contrast, microglial cells in the cortex, which lacked a substantial decrease in amyloid plaque burden, were still dysfunctional (Fig. 4A right). Thus, microglial dysfunction is not irreversibly impaired by Aβ plaque deposition, but can be restored during the course of disease.

Figure 4. Passive anti-Aβ vaccination reduces plaque burden and restores hippocampal microglial phagocytic activity.

5 month old APPPS1 mice (n = 3 mice per group) and wildtype littermates (n = 2 mice per group) were biweekly injected intraperitoneally with IgG (black bar) or anti-Aβ antibody (Ab9, grey bar) for 6 weeks. The area covered by Thiazine Red-positive Aβ plaques in cortex (A) and hippocampus (B) of 6.5 month old APPPS1 mice or age-matched controls treated with IgG or Ab9 is shown in the left panel. Absolute values of microglial phagocytic indices in the cortex (A) and hippocampus (B) of the same mice are depicted on the right panel. All data are mean ± s.e.m, *p<0.05, **p<0.01. a.u. = arbitrary units.


The Aβ plaque-associated functional decline of microglia we have shown here may explain why temporary ablation of microglia for up to 30 days in APPPS1 mice does not change the formation and maintenance of Aβ burden [19]. Our findings may also give an explanation as to why microglia fail to sufficiently remove Aβ plaques in AD in vivo [18], [20], and would support the notion of a dystrophic rather than an activated phenotype of microglia at late stages of AD [33].

Our methodological approach to quantify phagocytosis extends existing data on the function of AD-associated microglia during disease progression. It allowed us to overcome restrictions of current approaches including (i) the ex vivo analysis of isolated microglia whose functionality could be disturbed by the isolation procedure per se, (ii) post-mortem studies, which are stationary, typically restricted to defined time points, and do not provide direct information about cellular functionality or (iii) in vivo imaging studies that are typically limited to superficial cortical brain areas.

Mechanistically, Aβ may directly affect microglial function, as we were able to detect a significant inverse correlation between Aβ plaque burden and microglial phagocytic activity. Further studies will be required to address the question, of what kind of Aβ species may be responsible for inducing microglial dysfunction.

A large number of in vitro studies have shown that microglial cells release a battery of proinflammatory mediators, including nitric oxide and tumor necrosis factor alpha (TNFα), when stimulated with Aβ peptides [34][36]. Such chronic production of inflammatory molecules by microglia and/or constant exposure to a proinflammatory microenvironment within plaque-bearing AD brains may present another explanation of why microglial function may be influenced negatively [13], [37], [38]. This hypothesis is also supported by the finding that microglia stimulation with the proinflammatory cytokine TNFα leads to a downregulation of receptors involved in Aβ binding and degradation and reduces phagocytosis of Aβ in vitro [20].

To investigate a second biologically relevant microglial function we studied process motility by assessing process extensions towards an acute injury induced by a laser lesion [1], [2]. Our results obtained from in vivo observations were similar to data retrieved by us in acute brain slices with respect to speed and quantity of lesion-directed process movements. The significant decrease in the amount of microglial processes sent towards the injury site, which we consistently found both in vivo and in situ, supports a report on impaired baseline dynamics of plaque-associated microglia [27]. However, another detailed analysis of baseline microglial process turnover in APPPS1 mice has shown that turnover speed of processes in microglia near plaques (within 50 µm from the plaque surface) was similar compared to microglia in non-transgenic animals. Only process speed in microglia directly on Aβ plaques was slightly but significantly reduced [9].

Notably, we show that functional impairment of microglial phagocytosis can be reversed to non-diseased aptitude by reducing amyloid by Aβ vaccination. This speaks against microglial senescence as the main underlying mechanism for the decline in microglial function demonstrated herein. Microglial senescence has been described in the human brain during aging and in Alzheimer’s disease and is associated with telomere shortening and reduced telomerase activity [39]. In contrast to the microglial phenotype reported here, cellular senescence is irreversible, at least in lymphocytes and at late stages of cellular senescence [40]. However, similar mechanisms might be involved in inducing microglial dysfunction and have to be investigated in future studies. Furthermore, microglial senescence may play an important role in humans during aging.

These data highlight the interrelation of plaque deposition and microglial behavior, thus expanding the possible modes of action of other amyloid-reducing approaches to rescuing microglial function. Such view is in line with a recent report on bexarotene-mediated reduction of Aβ burden, which resulted in an improvement in neuronal function and, importantly, increased the number of Aβ-laden microglia [41].

Taken together, our data demonstrate that microglial dysfunction develops early in the course of AD in an Aβ-dependent fashion and can be restored by interventional anti-Aβ approaches, such as Aβ vaccination. Our findings therefore suggest that novel treatment strategies aimed at maintaining or increasing microglial function may represent an attractive therapeutic approach even at advanced stages of AD.

Supporting Information

Figure S1.

Age- and brain area-dependent Aβ plaque load in APPPS1 mice. Representative confocal images of fixed and stained acute coronal brain slices from APPPS1 mice of the indicated age showing cortex (a), hippocampus (b) or cerebellum (c). Microglia (Iba-1, red), Aβ plaques (Thiazine Red, green) and nuclei (Hoechst 33258; blue). Scale bars: 50 µm.



Video S1.

Rapid microglial response toward an acute laser lesion in Cx3cr1+/gfp mice. Intravital time-lapse two-photon microscopy over a period of 36 min shows rapid microglial response upon a laser lesion in 8 month old Cx3cr1+/gfp mice.



Video S2.

Impaired microglial response toward an acute laser lesion in APPPS1-Cx3cr1+/gfp mice. Intravital time-lapse two-photon microscopy over a period of 54 min shows attenuated response of microglial processes (green) toward a laser lesion in 8 month old APPPS1-Cx3cr1+/GFP mice. Aβ plaques are stained with Methoxy-XO4 (blue).



Video S3.

Rapid microglial response to a laser-induced lesion in an acute cerebral slice from Cx3cr1+/gfp mice. Time-lapse two-photon microscopy of an acute cerebral slice from 10 month old Cx3cr1+/gfp mice over a time period of 60 min displays rapid microglial process accumulation around a laser-induced lesion.



Video S4.

Microglial response to a laser-induced lesion is impaired in acute brain slices from APPPS1-Cx3cr1+/gfp mice. Time-lapse two-photon microscopy of an acute cerebral slice from 10 month old APPPS1-Cx3cr1+/gfp mice over a period of 60 min shows impaired accumulation of microglial processes around a laser-induced tissue lesion. Aβ plaques are stained with Thiazine Red (red).




We thank the microscopy core facility at the Max Delbrueck Center for Molecular Medicine for technical assistance and Gabor Petzold for critically reading the manuscript.

Author Contributions

Conceived and designed the experiments: HK FLH. Performed the experiments: GK AH VM JLR GDE UB KRM SP. Analyzed the data: GK AH VM JLR GDE UB KRM SP. Wrote the paper: HK FLH GK AH VM JLR GDE UB KRM SP.


  1. 1. Nimmerjahn A, Kirchhoff F, Helmchen F (2005) Resting microglial cells are highly dynamic surveillants of brain parenchyma in vivo. Science 308: 1314–1318.
  2. 2. Davalos D, Grutzendler J, Yang G, Kim JV, Zuo Y, et al. (2005) ATP mediates rapid microglial response to local brain injury in vivo. Nat Neurosci 8: 752–758.
  3. 3. Wake H, Moorhouse AJ, Jinno S, Kohsaka S, Nabekura J (2009) Resting microglia directly monitor the functional state of synapses in vivo and determine the fate of ischemic terminals. J Neurosci 29: 3974–3980.
  4. 4. Kettenmann H, Kirchhoff F, Verkhratsky A (2013) Microglia: new roles for the synaptic stripper. Neuron 77: 10–18.
  5. 5. Sierra A, Encinas JM, Deudero JJ, Chancey JH, Enikolopov G, et al. (2010) Microglia shape adult hippocampal neurogenesis through apoptosis-coupled phagocytosis. Cell Stem Cell 7: 483–495.
  6. 6. Tremblay ME, Stevens B, Sierra A, Wake H, Bessis A, et al. (2011) The role of microglia in the healthy brain. J Neurosci 31: 16064–16069.
  7. 7. Rubio-Perez JM, Morillas-Ruiz JM (2012) A review: inflammatory process in Alzheimer’s disease, role of cytokines. ScientificWorldJournal 2012: 756357.
  8. 8. McGeer PL, McGeer EG (1995) The inflammatory response system of brain: implications for therapy of Alzheimer and other neurodegenerative diseases. Brain Res Brain Res Rev 21: 195–218.
  9. 9. Bolmont T, Haiss F, Eicke D, Radde R, Mathis CA, et al. (2008) Dynamics of the microglial/amyloid interaction indicate a role in plaque maintenance. J Neurosci 28: 4283–4292.
  10. 10. Frautschy SA, Yang F, Irrizarry M, Hyman B, Saido TC, et al. (1998) Microglial response to amyloid plaques in APPsw transgenic mice. Am J Pathol 152: 307–317.
  11. 11. vom Berg JPS, Miller KR, Obst J, Kälin RE, Lopategui-Cabezas I, et al.. (2012) Inhibition of IL-12/IL-23 signaling reduces Alzheimer’s disease-like pathology and cognitive decline. Nature In press.
  12. 12. Wyss-Coray T, Rogers J (2012) Inflammation in Alzheimer disease-a brief review of the basic science and clinical literature. Cold Spring Harb Perspect Med 2: a006346.
  13. 13. Lee CY, Landreth GE (2010) The role of microglia in amyloid clearance from the AD brain. J Neural Transm 117: 949–960.
  14. 14. Hanisch UK, Kettenmann H (2007) Microglia: active sensor and versatile effector cells in the normal and pathologic brain. Nat Neurosci 10: 1387–1394.
  15. 15. Town T, Nikolic V, Tan J (2005) The microglial “activation” continuum: from innate to adaptive responses. J Neuroinflammation 2: 24.
  16. 16. Koenigsknecht J, Landreth G (2004) Microglial phagocytosis of fibrillar beta-amyloid through a beta1 integrin-dependent mechanism. J Neurosci 24: 9838–9846.
  17. 17. Mandrekar S, Jiang Q, Lee CY, Koenigsknecht-Talboo J, Holtzman DM, et al. (2009) Microglia mediate the clearance of soluble Abeta through fluid phase macropinocytosis. J Neurosci 29: 4252–4262.
  18. 18. Liu Z, Condello C, Schain A, Harb R, Grutzendler J (2010) CX3CR1 in microglia regulates brain amyloid deposition through selective protofibrillar amyloid-beta phagocytosis. J Neurosci 30: 17091–17101.
  19. 19. Grathwohl SA, Kalin RE, Bolmont T, Prokop S, Winkelmann G, et al. (2009) Formation and maintenance of Alzheimer’s disease beta-amyloid plaques in the absence of microglia. Nat Neurosci 12: 1361–1363.
  20. 20. Hickman SE, Allison EK, El Khoury J (2008) Microglial dysfunction and defective beta-amyloid clearance pathways in aging Alzheimer’s disease mice. J Neurosci 28: 8354–8360.
  21. 21. Radde R, Bolmont T, Kaeser SA, Coomaraswamy J, Lindau D, et al. (2006) Abeta42-driven cerebral amyloidosis in transgenic mice reveals early and robust pathology. EMBO Rep 7: 940–946.
  22. 22. Sturchler-Pierrat C, Abramowski D, Duke M, Wiederhold KH, Mistl C, et al. (1997) Two amyloid precursor protein transgenic mouse models with Alzheimer disease-like pathology. Proc Natl Acad Sci U S A 94: 13287–13292.
  23. 23. Jung S, Aliberti J, Graemmel P, Sunshine MJ, Kreutzberg GW, et al. (2000) Analysis of fractalkine receptor CX(3)CR1 function by targeted deletion and green fluorescent protein reporter gene insertion. Mol Cell Biol 20: 4106–4114.
  24. 24. Prinz M, Kann O, Draheim HJ, Schumann RR, Kettenmann H, et al. (1999) Microglial activation by components of gram-positive and -negative bacteria: distinct and common routes to the induction of ion channels and cytokines. J Neuropathol Exp Neurol 58: 1078–1089.
  25. 25. Krabbe G, Matyash V, Pannasch U, Mamer L, Boddeke HW, et al. (2012) Activation of serotonin receptors promotes microglial injury-induced motility but attenuates phagocytic activity. Brain Behav Immun 26: 419–428.
  26. 26. McLellan ME, Kajdasz ST, Hyman BT, Bacskai BJ (2003) In vivo imaging of reactive oxygen species specifically associated with thioflavine S-positive amyloid plaques by multiphoton microscopy. J Neurosci 23: 2212–2217.
  27. 27. Koenigsknecht-Talboo J, Meyer-Luehmann M, Parsadanian M, Garcia-Alloza M, Finn MB, et al. (2008) Rapid microglial response around amyloid pathology after systemic anti-Abeta antibody administration in PDAPP mice. J Neurosci 28: 14156–14164.
  28. 28. Farfara D, Trudler D, Segev-Amzaleg N, Galron R, Stein R, et al. (2011) gamma-Secretase component presenilin is important for microglia beta-amyloid clearance. Ann Neurol 69: 170–180.
  29. 29. Lee JH, Yu WH, Kumar A, Lee S, Mohan PS, et al. (2010) Lysosomal proteolysis and autophagy require presenilin 1 and are disrupted by Alzheimer-related PS1 mutations. Cell 141: 1146–1158.
  30. 30. Nicoll JA, Barton E, Boche D, Neal JW, Ferrer I, et al. (2006) Abeta species removal after abeta42 immunization. J Neuropathol Exp Neurol 65: 1040–1048.
  31. 31. Bacskai BJ, Kajdasz ST, Christie RH, Carter C, Games D, et al. (2001) Imaging of amyloid-beta deposits in brains of living mice permits direct observation of clearance of plaques with immunotherapy. Nat Med 7: 369–372.
  32. 32. Levites Y, Das P, Price RW, Rochette MJ, Kostura LA, et al. (2006) Anti-Abeta42- and anti-Abeta40-specific mAbs attenuate amyloid deposition in an Alzheimer disease mouse model. J Clin Invest 116: 193–201.
  33. 33. Miller KR, Streit WJ (2007) The effects of aging, injury and disease on microglial function: a case for cellular senescence. Neuron Glia Biol 3: 245–253.
  34. 34. Meda L, Bonaiuto C, Szendrei GI, Ceska M, Rossi F, et al. (1995) beta-Amyloid(25–35) induces the production of interleukin-8 from human monocytes. J Neuroimmunol 59: 29–33.
  35. 35. Giulian D, Haverkamp LJ, Yu JH, Karshin W, Tom D, et al. (1996) Specific domains of beta-amyloid from Alzheimer plaque elicit neuron killing in human microglia. J Neurosci 16: 6021–6037.
  36. 36. Combs CK, Johnson DE, Cannady SB, Lehman TM, Landreth GE (1999) Identification of microglial signal transduction pathways mediating a neurotoxic response to amyloidogenic fragments of beta-amyloid and prion proteins. J Neurosci 19: 928–939.
  37. 37. Tan J, Town T, Crawford F, Mori T, DelleDonne A, et al. (2002) Role of CD40 ligand in amyloidosis in transgenic Alzheimer’s mice. Nat Neurosci 5: 1288–1293.
  38. 38. Tan J, Town T, Paris D, Mori T, Suo Z, et al. (1999) Microglial activation resulting from CD40-CD40L interaction after beta-amyloid stimulation. Science 286: 2352–2355.
  39. 39. Flanary BE, Sammons NW, Nguyen C, Walker D, Streit WJ (2007) Evidence that aging and amyloid promote microglial cell senescence. Rejuvenation Res 10: 61–74.
  40. 40. Akbar AN, Henson SM (2011) Are senescence and exhaustion intertwined or unrelated processes that compromise immunity? Nat Rev Immunol 11: 289–295.
  41. 41. Cramer PE, Cirrito JR, Wesson DW, Lee CY, Karlo JC, et al.. (2012) ApoE-Directed Therapeutics Rapidly Clear beta-Amyloid and Reverse Deficits in AD Mouse Models. Science.