Skip to main content
Download PDF

APOE genotype and sex affect microglial interactions with plaques in Alzheimer’s disease mice

Acta Neuropathologica Communications volume 7, Article number: 82 (2019) Cite this article

Abstract

Microglia affect Alzheimer’s disease (AD) pathogenesis in opposing manners, by protecting against amyloid accumulation in early phases of the disease and promoting neuropathology in advanced stages. Recent research has identified specific microglial interactions with amyloid plaques that exert important protective functions including attenuation of early pathology. It is unknown how these protective microglial interactions with plaques are affected by apolipoprotein E (APOE) genotype and sex, two well-established AD risk factors that modulate microglial function. We investigated this question using quantitative confocal microscopy to compare microglial interactions with amyloid plaques in male and female EFAD mice across APOE3 and APOE4 genotypes at 6 months of age. We observed that microglial coverage of plaques is highest in male APOE3 mice with significant reductions in coverage observed with both APOE4 genotype and female sex. Plaque compaction, a beneficial consequence of microglial interactions with plaques, showed a similar pattern in which APOE4 genotype and female sex were associated with significantly lower values. Within the plaque environment, microglial expression of triggering receptor expressed on myeloid cells 2 (TREM2), a known regulator of microglial plaque coverage, was highest in male APOE3 mice and reduced by APOE4 genotype and female sex. These differences in plaque interactions were unrelated to the number of microglial processes in the plaque environment across groups. Interestingly, the pattern of amyloid burden across groups was opposite to that of microglial plaque coverage, with APOE4 genotype and female sex showing the highest amyloid levels. These findings suggest a possible mechanism by which microglia may contribute to the increased AD risk associated with APOE4 genotype and female sex.

Introduction

The neuropathology of AD is characterized primarily by the region-specific accumulation of amyloid beta (Aβ) into senile plaques and hyperphosphorylated tau into neurofibrillary tangles. Both plaques and tangles are widely hypothesized to contribute to the neurodegenerative changes that occur in AD and manifest clinically as dementia [56]. AD neuropathology also involves several other significant components, including microglial activation, that are associated with disease progression. While it has long been known that activated microglia co-localize with Aβ plaques [20], as noted by Alzheimer himself [47], their roles remain incompletely defined. Microglia exhibit a broad range of actions implicated in both normal neural function [6, 13, 18] and the development of disease [5, 19]. In the context of AD, activated microglia have been theorized to exert dual effects on disease progression, promoting AD by driving neuroinflammation while also attenuating pathogenesis as a result of phagocytic actions [29]. Moreover, recent observations suggest that microglia interact with plaques to form a barrier that reduces the outward extension of Aβ fibrils, which may protect nearby neurites from damage [4, 9, 21, 25, 27, 52, 58, 61, 63, 64].

The regulation of microglial-plaque associations is a topic of high importance. A key molecule in the regulation of these interactions is triggering receptor expressed on myeloid cells 2 (TREM2), a microglial cell surface receptor of the immunoglobulin superfamily that senses damage in the central nervous system [42, 57]. TREM2 activation is essential for immune function in the brain, promoting proliferation, tropism and survival of microglia [38, 52]. Heterozygous TREM2 mutations, which yield partial loss of function, confer higher AD risk [14, 23, 24, 46] and are associated with reduced interactions of microglia with plaques [63]. Rodent studies confirm that microglial-plaque interactions are TREM2-dependent. Specifically, TREM2 deficiency and haploinsufficiency in mouse models of AD are associated with disrupted clustering of microglia around Aβ plaques [21, 53, 57, 58] and diminished ability of microglia to form barriers around amyloid deposits, compact plaques, and reduce plaque-associated dystrophic neurites [63].

Apolipoprotein E (APOE) genotype, the most widely shared genetic risk factor for late-onset AD [16, 28], is a strong candidate regulator of TREM2-dependent microglial interactions with amyloid plaques. First, APOE genotype is an important modulator of microglial activation, with the AD-associated APOE ε4 allele (APOE4) linked with increased microgliosis and neuroinflammation [50]. Second, apoE is a ligand for TREM2 [2, 3, 61] that directly and/or indirectly activates TREM2-mediated signaling pathways, including those that induce phagocytosis and anti-inflammatory cascades [22, 53]. Third, cell culture evidence suggests that APOE4 is associated with greater depletion of TREM2 expression following acute immune challenge [31], suggesting perhaps that APOE4 may diminish TREM2-mediated actions. Whether interactions between APOE and TREM2 extend to microglial plaque interactions is unknown.

Our current study investigates the effects of APOE genotype on TREM2-dependent microglial interactions with plaques. We utilized the EFAD transgenic mouse model of AD, which includes hemizygous expression of 5xFAD model with knock-in of homozygous human APOE3 or APOE4 [62]. Because sex significantly affects APOE4 risk for AD in humans [1, 11, 37] and AD-related pathology in transgenic mice [7], and because sex regulates microglia phenotype [55], we also included sex as a modulating variable. Our results indicate that TREM2-dependent microglial interactions with plaques are significantly affected by both APOE genotype and sex with indices of microglial interactions showing the poorest outcomes with APOE4 genotype and female sex. These findings identify a new role for APOE genotype in regulation of microglia and AD pathogenesis and highlight the importance of sex as a modulator of these relationships.

Materials and methods

Animals

EFAD mice (5xFAD+/− APOE+/+) are hemizygous for 5xFAD, a transgenic mouse model of AD with 5 familial AD transgenes, and homozygous for knock-in of human APOE3 (E3FAD) or APOE4 (E4FAD) on a C57BL/6 J genetic background [62]. Four groups were studied: male E3FAD (n = 7), female E3FAD (n = 7), male E4FAD (n = 5), and female E4FAD (n = 6). Mice were euthanized at 6 months of age, a time point associated with relatively early but significant levels of AD-related neuropathology [49, 62]. Mice were perfused transcardially with phosphate-buffered saline (pH 7.4), their brains were harvested, then bisected in the sagittal plane and fixed in 4% paraformaldehyde for 48 h.

Histochemistry

Brain sections (40 μm) were cut using a vibratome and stained using modifications of standard procedures previously described [33]. Staining was performed in a limited number of batches that were balanced across experimental groups. For immunohistochemistry, sections were subjected to heat-mediated antigen retrieval with 10 mM EDTA for 10 min at 95 °C. Endogenous peroxidases were blocked by 3% H2O2 and 10% methanol in Tris-buffered saline (TBS, 30 min at room temperature). Sections were permeabilized in 0.1% Triton X-100 for 15 min, blocked by a 30 min incubation in blocking buffer (TBS with 3% bovine serum albumin and 0.1% Triton X-100), followed by incubation at 4 °C with primary antibodies (diluted in blocking buffer) against the microglial marker ionized calcium binding adaptor molecule 1 (Iba1) (WAKO rabbit; 1:500 dilution) and/or TREM2 (R&D Systems; sheep 1:500 dilution) for 2–3 days. After washing, sections were incubated with Alexa fluorophore-conjugated secondary antibodies (Invitrogen; anti-rabbit and anti-sheep) diluted 1:500 in blocking buffer for 1–2 days. To label amyloidogenic plaques, immunostained sections were incubated with 0.5% Thioflavin S (ThioS; Sigma-Aldrich) for 10 min and subsequently washed sequentially with 70% ethanol, 50% ethanol, and purified H20 before mounting on glass slides with VECTASHIELD® Antifade mounting media (Vector Labs).

Microscopy and image analyses

Images were captured using a confocal microscope (Zeiss Laser Scanning Microscope-780 upright microscope) with Zeiss ZEN imaging software by a researcher blinded to experimental groups. Laser and detector settings were unchanged across acquisition sessions. Images of sections labeled with ThioS, anti-Iba1 and/or anti-TREM2 were collected in z-stacks at 3 μm intervals; for high-resolution images optimal stack section depths of 0.4 μm were used. A 63x oil immersion objective (1.4 NA) was used to acquire region of interest (ROI) stacks (192.8 μm × 192.8 μm, 512 × 512 pixels, 16 bit). Because levels of amyloid pathology adequate for quantification across all groups were observed only in the subiculum (Additional file 1: Figure S1), imaging analyses were restricted to hippocampal regions of subiculum and the adjacent cornu ammonis 1–3 (referred to as hippocampus, HPC). Non-overlapping ROIs (≥ 3 per section) were taken to sample the majority of pathology as well as adjacent HPC areas lacking pathology. The proportion of ROIs utilized for plaque analyses that were captured in the subiculum were similar across groups: 83% for E3FAD males, 83% for E3FAD females, 87% for E4FAD males, and 91% for E4FAD females (remaining proportion of ROIs were from cornu ammonis 1–3). Image analyses were performed in a user-blinded manner with a custom ImageJ plugin [48] and de-noised using background subtraction rolling ball radius of 50 pixels. Maximum projections were used for analysis (unless otherwise stated). For microglial interactions with plaques, all plaques in collected images were analyzed if they satisfied the following criteria: > 4 μm in diameter, not overlapping with other plaques and captured entirely within the ROI. Consistent with described methodology [9], microglial plaque coverage was quantified by manually identifying the intersections between the tips of microglia processes and the plaque perimeter. The proportion of the plaque perimeter covered by microglia processes was calculated by summing the arcs of plaque perimeter across 3-dimensional stacks in close contact (within 2 μm) with Iba1-immunolabeled cells (~ 20 plaques/group). Only microglial processes were counted in the plaque coverage analysis and any overlap with microglial cell bodies was not included. Plaque perimeters were manually determined by outlining each plaque in ImageJ. Plaque circularity, a measure of plaque compaction, was calculated as previously described [63] using the formula circularity = 4π x area / (perimeter)2. For microglia process ramifications, relative to plaque distance, Sholl analysis was performed using ImageJ. The number of Iba1-immunreactive process intersections was calculated at 10 μm intervals from the center of singular plaque regions (somas were omitted manually from these analyses). For immunohistochemical load quantification (ThioS, Iba1, and TREM2), images were converted to 8-bit grayscale using ImageJ, thresholded and normalized to the total ROI area (% of total area). Data represents averages of all ROIs for each animal (total HPC including subiculum). To determine microglial-specific TREM2 levels, the TREM2 signal was measured, as described above, and subtracted from background levels (i.e., removing Iba1 negative soluble TREM2) within the same ROI. Separate high-resolution z-stacks, with an optimal step size, were added to determine the levels of TREM2 in Iba1-positive microglia proximal to regions of plaque contact normalized to regions where there was no plaque contact (distal; within 30 μm of a plaque). The proximal/distal TREM2 ratio was calculated by dividing the TREM2 signal (co-localized with Iba1 staining) proximal to plaque-contact sites (within 5 μm) by the TREM2 signal (co-localized with Iba1 staining) distal to plaque-contact sites. Thus, a higher ratio reflects elevated TREM2 in Iba1 processes in close association with plaque staining. Microglial soma size was measured by manually identifying, outlining, and measuring Iba1-immunoreactive cell bodies (~ 60 cells/group) using ImageJ.

Statistics

Data were statistically assessed using two-way analysis of variance (ANOVA), with APOE genotype and sex as independent variables, followed by Tukey post-hoc test for pairwise multiple comparisons, unless otherwise stated. Linear regression was used to analyze relationships between plaque perimeter and microglial plaque coverage, as well as microglial process number as a function of distance from plaques (Sholl analysis). Statistical analyses were performed using Prism version 8.0.1 (GraphPad Software, Inc.). All data are presented as mean ± SEM. For all statistical tests, p values less than 0.05 were considered significant.

Results

APOE genotype and sex are associated with microglial interactions with amyloid plaques

To explore the effects of APOE genotype and sex on interactions of microglia with amyloid plaques, high-resolution confocal images were used to capture microglia associated with ThioS-labeled deposits in EFAD mice (Fig. 1a). The percentage of individual plaque perimeters in close proximity with Iba1-immunolabeled microglial processes, termed plaque coverage, was quantified across z-stacks (Fig. 1b). There was a significant main effect of APOE genotype (Fig. 1b, p = 0.0007), with higher plaque coverage in E3FAD males than in E4FAD males. Further, there was a significant main effect of sex (Fig. 1b, p = 0.0004), where microglial coverage of plaques was two-fold greater in male E3FAD than in female E3FAD mice. In addition, there was a significant interaction between genotype and sex (Fig. 1b, p = 0.03) such that the sex difference in plaque coverage was apparent only in E3FAD mice. The level of plaque coverage by microglial processes varied inversely with plaque perimeter for male E3FAD (Fig. 1c, p = 0.02), but not for female E3FAD mice (Fig. 1c) or male and female E4FAD mice (Fig. 1d). Specifically, in male E3FAD mice, increasing levels of microglial process interactions with plaques were associated with reduced plaque size. This observation is consistent with prior findings that increased plaque coverage by microglial processes contributes to plaque compaction [63].

Fig. 1
figure 1

Microglial plaque coverage in EFAD mice is diminished by APOE4 and female sex. a Representative images show ThioS-positive plaques (red) and Iba1-immunoreactive microglia (green) in the HPC of EFAD mice at 6 months of age. 3D images show composite, stacked images across the z-axis, whereas 2D images show individual z-sections with corresponding labeling across x- and y-axes. Scale bars = 5 μm. b Quantification of Iba1-immunoreactive processes in contact with ThioS-positive amyloid deposits (% plaque coverage) in male (M) and female (F) EFAD mice with APOE3 (open bars) and APOE4 (filled bars) genotypes. c-d Correlation plots of plaque perimeter in relation to microglial plaque coverage in APOE3 (c) and APOE4 (d) male and female mice. Numbers of mice analyzed per group are as follows: male E3FAD (n = 6), female E3FAD (n = 5), male E4FAD (n = 5), and female E4FAD (n = 6). * denotes p < 0.05, ** denotes p < 0.01 *** denotes p < 0.001

Full size image

APOE genotype and sex affect plaque compaction

We subsequently investigated how differences in plaque coverage by microglia might impact the morphology of amyloid plaques. Quantitative confocal analysis of plaque compaction was calculated using a formula that measures the spherical nature of individual plaques while controlling for potential differences in plaque size that are expected across groups with different levels of pathology (Fig. 2a). In parallel to our findings on microglial coverage of plaques, we observed significant main effects of both APOE genotype and sex (Fig. 2b p = 0.0006 and p = 0.001, respectively) on plaque circularity, where the highest levels of plaque compaction were found in male E3FAD mice.

Fig. 2
figure 2

Effects of APOE genotype and sex on amyloid plaque dynamics. a Representative pseudo-colored images show relative circularity of ThioS-positive plaques, with intensity of labeling indicated by brightness (purple/black = low and yellow/white = high), across sex and APOE genotype. Scale bars = 5 μm. b Quantification of plaque circularity in male (M) and female (F) EFAD mice with APOE3 (open bars) and APOE4 (filled bars) genotypes. Numbers of mice analyzed per group are as follows: male E3FAD (n = 6), female E3FAD (n = 5), male E4FAD (n = 5), and female E4FAD (n = 6). * denotes p < 0.05

Full size image

APOE genotype and sex are associated with microglial TREM2 expression near amyloid plaques

TREM2-mediated signaling is required for microglial interactions with plaques. For example, a recent study of microglia in close proximity to amyloid deposits showed that TREM2 labeling is increased in processes that interact with plaques but not in processes that fail to interact [63]. We examined whether APOE genotype and/or sex affect the levels and cellular localization of TREM2 within microglia using HPC sections immunolabeled for TREM2 and Iba1 and counterstained with ThioS (Fig. 3a). Overall, TREM2 expression levels appeared to be highest in male E3FAD mice (Fig. 3a). Quantification of TREM2 labeling (co-localized with Iba1 immunoreactivity) within plaque regions (< 100 μm) revealed significant main effects of APOE genotype and sex (Fig. 3b, p < 0.0001 and p < 0.0001, respectively), showing that TREM2 levels were two-fold higher in E3FAD males than in E3FAD females and higher relative to E4FAD mice of both sexes (Fig. 3b). Further, there was an interaction between genotype and sex (Fig. 3b, p = 0.0002) such that the sex difference in TREM2 load was apparent only in E3FAD mice. These relationships depended on the plaque environment since there was no significant difference across groups in TREM2 levels in areas > 100 μm from plaque regions (Fig. 3c). Because TREM2 labeling is highest at sites of activation [63], we also compared the ratio of TREM2 labeling in processes proximal versus distal to plaques within individual Iba1-labeled cells. A similar pattern was observed in which proximal/distal levels of TREM2 labeling revealed significant main effects of APOE genotype and sex (Fig. 3d, p = 0.0002 and p = 0.0004, respectively) as well as a significant group interaction (Fig. 3d, p = 0.005), with levels again being highest in male E3FAD mice and no significant differences among the other three groups (Fig. 3d).

Fig. 3
figure 3

Effects of APOE4 and sex on TREM2 expression levels near plaques. a Representative images showing ThioS-positive plaques (cyan) and Iba1-immunoreactive microglia (red) merged with TREM2 (green; with orange reflecting high co-localization with Iba1) in the HPC of EFAD mice. Scale bars = 10 μm. b Quantification of TREM2 load in the HPC in male (M) and female (F) EFAD mice with APOE3 (open bars) and APOE4 (filled bars) genotypes. c TREM2 load in plaque negative regions (> 100 μm away). d TREM2 intensity in Iba1-immunoreactive microglia proximal to sites of microglia-plaque interaction (normalized to distal regions). Numbers of mice analyzed per group are as follows: (b-c) male E3FAD (n = 6), female E3FAD (n = 7), male E4FAD (n = 5), and female E4FAD (n = 6). d male E3FAD (n = 4), female E3FAD (n = 6), male E4FAD (n = 4), and female E4FAD (n = 5). *** denotes p < 0.001, **** denotes p < 0.0001

Full size image

APOE genotype and sex are not associated with microglial process number near amyloid plaques

Our findings demonstrate that microglial interactions with amyloid plaques differ significantly by both APOE genotype and sex. It is possible that the data reflect differences across APOE genotype and sex in the numbers of microglial processes available to interact with plaques. In this case, the pattern of increased microglia-plaque interactions observed in E3FAD males would result from a higher density of microglial processes in the plaque environment. To investigate this possibility, we used Sholl analysis to quantify the number of microglial processes adjacent to plaques in EFAD mice across APOE genotype and sex (Fig. 4a). Our findings show no statistically significant differences across groups in the number of microglial process segments within the immediate plaque environment (within 20 μm) (Fig. 4b). These data indicate that observed differences in microglial interactions with amyloid deposits by sex and APOE genotype are not explained by differences in the quantity of microglial processes in the immediate plaque environment. Interestingly, there was a significant APOE-sex interaction and main effect of sex (Fig. 4c, p = 0.04 and p = 0.004) on the number of microglial processes normalized to the number of Iba1-immunostained cells in the near plaque environment, suggesting increased processes on a per cell basis in E3FAD males. Further, with increasing distances away from the plaque environment, the total number microglial processes differed across groups with the lowest in E3FAD males and the highest in E4FAD females. Linear regression analyses demonstrated a significant decrease in microglia processes with increasing distance away from the plaque in E3FAD males (Fig. 4d, p = 0.007), but a significant and opposite relationship in E3FAD and E4FAD females (Fig. 4d, p = 0.003 and p = 0.003). Therefore, although total numbers of microglial processes in the plaque environment are similar across groups, APOE genotype and sex are associated with differences in the number of processes per cell in the local plaque environment and microglial process number at increasing distances away from plaques.

Fig. 4
figure 4

Effects of APOE genotype and sex on numbers of microglial processes. a Representative image of a thresholded confocal stack labeled with ThioS (cyan outline) and Iba1 immunoreactive microglia (black) in the HPC. The image below shows an overlay with Sholl analysis grid. b Microglial process number within 20 μm of ThioS-labeled plaques in male (M) and female (F) EFAD mice with APOE3 (open bars) and APOE4 (filled bars) genotypes. c Microglial process number/cell within 20 μm of ThioS-labeled plaques. d Quantification of microglial process intersections at increasing distances from ThioS-labeled plaques in male (black lines) and female (red lines) EFAD mice with APOE3 (solid lines) and APOE4 (dashed lines) genotypes. Numbers of mice analyzed per group are as follows: male E3FAD (n = 6), female E3FAD (n = 5), male E4FAD (n = 4), and female E4FAD (n = 5). ns denotes not significant, * denotes p < 0.05, *** denotes p < 0.001

Full size image

APOE genotype and sex are associated with levels of amyloid plaques and microglial activation

Consistent with prior observations [7], we found that accumulation of AD-related pathology in the EFAD mouse model of AD is abundant in the subiculum and other hippocampal sub-regions and is increased by both APOE4 genotype and female sex (Additional file 1: Figure S1). First, using ThioS, we observed that amyloid plaque burden in the HPC at 6 months of age was lowest in male E3FAD mice and highest in female E4FAD mice with comparatively moderate levels in male E4FAD and female E3FAD mice (Fig. 5a). There were significant main effects of APOE genotype and sex (Fig. 5b, p < 0.0001 and p < 0.0001) where APOE4 genotype and female sex were associated with greater amyloid load. In addition, we observed a significant interaction between these two factors in which the increased amyloid burden associated with APOE4 was significantly greater in female mice (Fig. 5b, p = 0.001). Similar effects were observed when analyses were restricted to the subiculum (Additional file 2: Figure S2). Next, we assessed microglial burden near (< 100 μm, Fig. 5c) and far (> 100 μm, Fig. 5d) from plaque regions. Microglial burden near plaques was significantly increased by both APOE4 genotype and female sex (Fig. 5c, p = 0.001 and p < 0.0001, respectively) with no significant interaction between these factors. Again, similar findings were observed with data collected only from the subiculum (Additional file 2: Figure S2). In HPC ROIs greater than 100 μm away from ThioS-labeled plaques, there was a significant main effect of APOE genotype in male mice (Fig. 5d, p = 0.003), but not sex, on microglial burden. Because increased microglial soma size is a morphological indicator of activated phenotype [26], we also quantified soma size of Iba1-immunoreactive cells in ROIs both proximal (Fig. 5e) and distal to ThioS-labeled plaques (Fig. 5f). There was significant main effect of APOE genotype and sex (Fig. 5e, p < 0.0001 and p = 0.007, respectively) on microglia soma size, a relationship that failed to reach statistical significance for microglia more than 100 μm from amyloid plaques (Fig. 5f).

Fig. 5
figure 5

Effects of APOE genotype and sex on AD-related pathology. a Representative images show ThioS-positive plaques (cyan) and Iba-1 immunoreactive microglia (white) in the HPC of EFAD mice. Scale bars = 15 μm. b Quantification of amyloid plaque load (% of total ROI area) in male (M) and female (F) EFAD mice with APOE3 (open bars) and APOE4 (filled bars) genotypes. c-d Quantification of microglia load (% of total ROI area) near (< 100 μm, C) and far (> 100 μm, D) from ThioS-positive plaques. e-f Quantification of activated microglial phenotype (mean soma area of Iba1-immunoreactive cells) near (< 100 μm, E) and far (> 100 μm, F) from ThioS-positive plaques. Numbers of mice analyzed per group are as follows: male E3FAD (n = 7), female E3FAD (n = 7), male E4FAD (n = 5), and female E4FAD (n = 6). * denotes p < 0.05, ** denotes p < 0.01, **** denotes p < 0.0001, ns denotes not significant

Full size image

Discussion

In this study, we examined how microglial interactions with amyloid plaques are affected by APOE genotype and/or sex. Several novel observations document that AD risk factors impact pathogenesis, at least in part, by regulating microglial functions. First, we observed that microglial plaque coverage in EFAD mice is significantly reduced by both APOE4 and female sex. Consistent with prior findings that microglial plaque coverage is positively associated with plaque compaction [9], we observed that plaque circularity, an index of plaque compaction [63], is reduced by both APOE4 and female sex relative to male E3FAD mice. Previously, microglial interactions with plaques have been shown to be TREM2 dependent [63]. In support of this we found that TREM2 expression levels in plaque-associated microglia, and specifically within their processes proximal to plaques, were lower in EFAD mice with APOE4 or female sex relative to male E3FAD mice. Interestingly, the relationship among TREM2 expression, APOE genotype, and sex was not significant in microglia located away from plaques. This finding, therefore, indicates that some aspects of microglial function differ in the presence versus absence of plaques, which is consistent with recent observations of microglial heterogeneity in relation to plaque proximity [10, 41]. Importantly, numbers of microglial processes within the plaque environment were the same across APOE genotypes and sex, suggesting that our observed differences in microglial plaque interactions were associated not with the availability of microglial processes, but rather functional aspects of microglia in APOE4 and female EFAD mice that may affect their ability to detect and/or interact with plaques. Consistent with this possibility, we observed that the number of processes per microglia in the near plaque environment was significantly lower in APOE4 and female EFAD relative to male E3FAD mice. In addition, microglial burden and activation were higher in females and E4FAD mice of both sexes than in male E3FAD mice. Further, male E3FAD mice showed the lowest amyloid burden and female E4FAD the highest, a pattern opposite to that observed with microglial plaque coverage. An intriguing possibility is that increased plaque coverage may contribute to lower pathology, for example, as a result of plaque compaction and phagocytosis. Indeed, we observed a significant inverse association between plaque coverage and plaque perimeter specifically in male E3FAD mice. In support of this idea, recent findings have shown that disruption of microglial plaque coverage, resulting from AD-associated TREM2 mutations and TREM2 hemizygosity, are associated with reduced Aβ accumulation [36].

Our findings add to a growing literature indicating the importance of microglial pathways in APOE genotype influences on the development of AD. Across both sexes, we observed that APOE4 was associated with increased overall Iba1 burden and activated microglial phenotype, consistent with prior observations in EFAD mice [49]. Further, we found that microglia in E4FAD mice exhibit reduced plaque coverage. To our knowledge, this is the first report to define the effects of APOE genotype on the recently characterized, TREM2-dependent plaque coverage by microglia. Prior studies using less specific analyses have yielded conflicting findings. Yang et al., (2013) found that levels of plaque association of bone marrow-derived macrophages transplanted into irradiated APPswe/PS1Δ E9 mice were lower in macrophages from APOE4 than from APOE3 mice [60]. In contrast, Rodriguez et al., (2014) reported greater association of microglia with cortical plaques in E4FAD versus E3FAD mice [44]. Rodriguez and colleagues also reported larger plaque size and a greater proportion of compact plaques in the subiculum of E4FAD mice in comparison to E3FAD mice [44]. Although we did not quantify plaque size and morphology in the same manner, our findings of higher levels of microglial plaque coverage and plaque circularity in male E3FAD mice may be predicted to yield smaller plaque size and a higher proportion of compact plaque morphology [63]. Apparent differences between our findings and those of Rodriguez et al., may reflect important methodological variables including differences in staining (immunochemistry versus ThioS) and plaque size inclusion criteria. Perhaps most importantly, our data show that differences between E3FAD and E4FAD mice in microglial interactions with plaques are significantly affected by sex, a variable not considered in prior work.

While the mechanisms contributing to the observed regulation of microglial plaque coverage by APOE are unclear, interactions between APOE and TREM2 are increasingly recognized as significant contributors to AD-related microglial activity and represent a compelling candidate pathway for the regulation of plaque interactions [12, 59]. For example, APOE has been identified as a key regulator of the molecular signature of microglia via interactions with TREM2 [25, 27, 32, 35, 40]. These investigations reveal that microglia surrounding plaques differ in their morphology and molecular expression profile from microglia that are distal to plaques [25]. Importantly, an APOE-TREM2 pathway appears to drive the conversion of homeostatic microglia to a disease-associated phenotype [25, 27]. Because microglial actions exert both disease-promoting and protective outcomes, regulation of the APOE-TREM2 pathway is expected to significantly affect AD pathogenesis with the overall effect depending, in part, upon several variables including timing. A recent study found that APOE knockout in two different AD mouse models was associated with decreased microglial clustering around plaques as well as a reduction in plaque compaction [54], microglial actions established to be TREM2-dependent. Further, microglia-specific knockout of APOE in 5xFAD mice attenuated microglial transition to the disease phenotype, partially rescuing neuronal cell death [27]. How APOE genotype affects microglial transition to disease phenotypes via the APOE-TREM2 pathway is not known. Our observations of impaired microglial coverage and plaque compaction in E4FAD mice is qualitatively consistent with findings in APOE knockout mice [54], suggesting that apoE4 represents reduced functionality relative to apoE3 in terms of TREM2-dependent microglial actions.

We also identify novel sex differences in microglial interactions with amyloid plaques. The observed sex differences are most apparent in APOE3 genotype in which male E3FAD mice exhibit increased microglial plaque coverage, plaque compaction, microglial TREM2 expression and reduced plaque burden in comparison to age-matched female E3FAD mice. While the specific mechanisms contributing to these observed sex differences remain to be elucidated, our findings are consistent with abundant recent evidence of wide-ranging sex differences in microglia. Indeed, microglia from male and female rodents exhibit brain-region specific differences in the numbers and activation states during development [45] that contribute to sexual differentiation of the brain [30]. Sexually dimorphic features in microglia also exist in the adult brain, including differences in the number of microglia [34] and expression of several inflammation-related factors [45]. Further, more extensive transcriptome analyses have revealed significant sex differences in adult microglia that are at least partially independent of adult sex hormone exposure [55]. As suggested by the data presented here, microglia are increasingly implicated as key regulators of sex differences in several neurological disorders including AD [15, 43]. There are numerous sex differences in AD risk, pathogenesis, and clinical manifestation that may reflect sexually dimorphic factors in both development and adulthood [39]. We speculate that these established sex differences, alongside the novel observations presented in this study, include significant contributions of, but are not limited to, microglial actions.

Collectively, these findings suggest that the AD risk factors APOE genotype and female sex may affect development of AD, in part, by modulating protective microglial functions. An intriguing literature defines both beneficial and deleterious actions of microglia in the context of AD [8, 17]. Classically, microglia have been viewed as contributors to AD pathogenesis, largely as a consequence of chronic neuroinflammation that is associated with states of microglial activation [17]. Both activation of microglia and indices of neuroinflammation are regulated, individually and sometimes cooperatively, by APOE genotype and sex [51]. In addition to driving disease progression, microglia are also able to combat AD pathogenesis, primarily via plaque interactions that can decrease plaque size and reduce levels of dystrophic neurites presumably by limiting exposure to highly toxic Aβ species [4, 9, 21, 25, 27, 52, 61, 63, 64]. The present data demonstrate that these protective microglial actions with plaques are attenuated in APOE4 carriers and females. Thus, APOE genotype and sex affect both harmful and protective microglial actions. Still unclear is how the balance, or loss thereof, in the heterogeneity in microglial functions and their regulation within plaque environments varies across the disease process.

Conclusions

In summary, our study of the EFAD mouse model of AD documents that APOE genotype and sex are significant regulators of microglial interactions with amyloid plaques. Although total numbers of microglial processes in the plaque vicinity are similar across sex and APOE genotype, protective microglial-plaque interactions, including barrier formation and plaque compaction, are maximized in a rank order opposite to pathology levels, such that male E3FAD mice exhibit the best and female E4FAD mice the poorest outcomes. These findings suggest that microglial functions, specifically microglial plaque coverage, contribute to the mechanisms by which APOE4 genotype and female sex increase AD risk. Further investigation is required to define the mechanisms driving APOE and sex differences in microglial function, information that will have significant relevance to the development of therapeutic strategies that intervene in early stages of AD pathogenesis.

Abbreviations

AD:

Alzheimer’s disease

ANOVA:

Analysis of variance

APOE:

Apolipoprotein E

APP:

Amyloid precursor protein

Aβ:

Amyloid beta

EDTA:

Ethylenediaminetetraacetic acid

FAD:

Familial Alzheimer’s disease

HPC:

Hippocampus

Iba1:

Ionized calcium binding adaptor molecule 1

PS1:

Presenilin 1

ROI:

Region of interest

SEM:

Standard error of the mean

TBS:

Tris-buffered saline

ThioS:

Thioflavin S

TREM2:

Triggering receptor expressed on myeloid cells 2

References

  1. Altmann A, Tian L, Henderson VW, Greicius MD (2014) Alzheimer’s Disease Neuroimaging Initiative investigators. Sex modifies the APOE -related risk of developing Alzheimer disease: sex and APOE -related AD risk. Ann Neurol 75:563–573

    Article  CAS  Google Scholar 

  2. Atagi Y, Liu C-C, Painter MM, Chen X-F, Verbeeck C, Zheng H et al (2015) Apolipoprotein E is a ligand for triggering receptor expressed on myeloid cells 2 (TREM2). J Biol Chem 290:26043–26050

    Article  CAS  Google Scholar 

  3. Bailey CC, DeVaux LB, Farzan M (2015) The triggering receptor expressed on myeloid cells 2 binds apolipoprotein E. J Biol Chem 290:26033–26042

    Article  CAS  Google Scholar 

  4. Bolmont T, Haiss F, Eicke D, Radde R, Mathis CA, Klunk WE et al (2008) Dynamics of the microglial/amyloid interaction indicate a role in plaque maintenance. J Neurosci 28:4283–4292

    Article  CAS  Google Scholar 

  5. Butovsky O, Jedrychowski MP, Cialic R, Krasemann S, Murugaiyan G, Fanek Z et al (2015) Targeting miR-155 restores abnormal microglia and attenuates disease in SOD1 mice: role of miR-155 in ALS. Ann Neurol 77:75–99

    Article  CAS  Google Scholar 

  6. Butovsky O, Jedrychowski MP, Moore CS, Cialic R, Lanser AJ, Gabriely G et al (2014) Identification of a unique TGF-β–dependent molecular and functional signature in microglia. Nat Neurosci 17:131–143

    Article  CAS  Google Scholar 

  7. Cacciottolo M, Christensen A, Moser A, Liu J, Pike CJ, Smith C et al (2016) The APOE4 allele shows opposite sex bias in microbleeds and Alzheimer’s disease of humans and mice. Neurobiol Aging 37:47–57

    Article  CAS  Google Scholar 

  8. Condello C, Yuan P, Grutzendler J (2018) Microglia-mediated neuroprotection, TREM2 , and Alzheimer’s disease: evidence from optical imaging. Biol Psychiatry 83:377–387

    Article  CAS  Google Scholar 

  9. Condello C, Yuan P, Schain A, Grutzendler J (2015) Microglia constitute a barrier that prevents neurotoxic protofibrillar Aβ42 hotspots around plaques. Nat Commun 6:6176

    Article  CAS  Google Scholar 

  10. El Hajj H, Savage JC, Bisht K, Parent M, Vallières L, Rivest S et al (2019) Ultrastructural evidence of microglial heterogeneity in Alzheimer’s disease amyloid pathology. J Neuroinflammation 16:87

    Article  Google Scholar 

  11. Farrer LA (1997) Effects of age, sex, and ethnicity on the association between apolipoprotein E genotype and Alzheimer disease: a meta-analysis. JAMA 278:1349

    Article  CAS  Google Scholar 

  12. Fernandez CG, Hamby ME, McReynolds ML, Ray WJ (2019) The role of APOE4 in disrupting the homeostatic functions of astrocytes and microglia in aging and Alzheimer’s disease. Front Aging Neurosci 11:14

    Article  Google Scholar 

  13. Gautier EL, Miller J, Greter M, Jakubzick C, Ivanov S, Helft J et al (2012) Gene-expression profiles and transcriptional regulatory pathways that underlie the identity and diversity of mouse tissue macrophages. Nat Immunol 13:1118–1128

    Article  CAS  Google Scholar 

  14. Guerreiro R, Hardy J (2014) Genetics of Alzheimer’s disease. Neurotherapeutics 11:732–737

    Article  Google Scholar 

  15. Hanamsagar R, Bilbo SD (2016) Sex differences in neurodevelopmental and neurodegenerative disorders: focus on microglial function and neuroinflammation during development. J Steroid Biochem Mol Biol 160:127–133

    Article  CAS  Google Scholar 

  16. Harold D, Abraham R, Hollingworth P, Sims R, Gerrish A, Hamshere ML et al (2009) Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer’s disease. Nat Genet 41:1088–1093

    Article  CAS  Google Scholar 

  17. Heneka MT, Carson MJ, Khoury JE, Landreth GE, Brosseron F, Feinstein DL et al (2015) Neuroinflammation in Alzheimer’s disease. Lancet Neurol 14:388–405

    Article  CAS  Google Scholar 

  18. Hickman SE, Kingery ND, Ohsumi TK, Borowsky ML, Wang L, Means TK et al (2013) The microglial sensome revealed by direct RNA sequencing. Nat Neurosci 16:1896–1905

    Article  CAS  Google Scholar 

  19. Holtman IR, Raj DD, Miller JA, Schaafsma W, Yin Z, Brouwer N et al (2015) Induction of a common microglia gene expression signature by aging and neurodegenerative conditions: a co-expression meta-analysis. Acta Neuropathol Commun 3:31

    Article  Google Scholar 

  20. Itagaki S, McGeer PL, Akiyama H, Zhu S, Selkoe D (1989) Relationship of microglia and astrocytes to amyloid deposits of Alzheimer disease. J Neuroimmunol 24:173–182

    Article  CAS  Google Scholar 

  21. Jay TR, von Saucken VE, Landreth GE (2017) TREM2 in neurodegenerative diseases. Mol Neurodegener 12:56

    Article  Google Scholar 

  22. Jendresen C, Årskog V, Daws MR, Nilsson LNG (2017) The Alzheimer’s disease risk factors apolipoprotein E and TREM2 are linked in a receptor signaling pathway. J Neuroinflammation 14:59

    Article  Google Scholar 

  23. Jonsson T, Stefansson H, Steinberg S, Jonsdottir I, Jonsson PV, Snaedal J et al (2013) Variant of TREM2 associated with the risk of Alzheimer’s disease. N Engl J Med 368:107–116

    Article  CAS  Google Scholar 

  24. Karch CM, Goate AM (2015) Alzheimer’s disease risk genes and mechanisms of disease pathogenesis. Biol Psychiatry 77:43–51

    Article  CAS  Google Scholar 

  25. Keren-Shaul H, Spinrad A, Weiner A, Matcovitch-Natan O, Dvir-Szternfeld R, Ulland TK et al (2017) A unique microglia type associated with restricting development of Alzheimer’s disease. Cell 169:1276–1290.e17

    Article  CAS  Google Scholar 

  26. Kozlowski C, Weimer RM (2012) An automated method to quantify microglia morphology and application to monitor activation state longitudinally in Vivo. Tansey MG, editor. PLoS One 7:e31814

    Article  CAS  Google Scholar 

  27. Krasemann S, Madore C, Cialic R, Baufeld C, Calcagno N, El Fatimy R et al (2017) The TREM2-APOE pathway drives the transcriptional phenotype of dysfunctional microglia in neurodegenerative diseases. Immunity 47:566–581.e9

    Article  CAS  Google Scholar 

  28. Lambert J-C, Even G, Campion D, Sleegers K, Hiltunen M et al (2009) Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer’s disease. Nat Genet 41:1094–1099

    Article  CAS  Google Scholar 

  29. Lee CYD, Landreth GE (2010) The role of microglia in amyloid clearance from the AD brain. J Neural Transm 117:949–960

    Article  CAS  Google Scholar 

  30. Lenz KM, Nugent BM, Haliyur R, McCarthy MM (2013) Microglia are essential to masculinization of brain and behavior. J Neurosci 33:2761–2772

    Article  CAS  Google Scholar 

  31. Li X, Montine KS, Keene CD, Montine TJ (2015) Different mechanisms of apolipoprotein E isoform–dependent modulation of prostaglandin E 2 production and triggering receptor expressed on myeloid cells 2 ( TREM2 ) expression after innate immune activation of microglia. FASEB J 29:1754–1762

    Article  CAS  Google Scholar 

  32. Lin Y-T, Seo J, Gao F, Feldman HM, Wen H-L, Penney J et al (2018) APOE4 causes widespread molecular and cellular alterations associated with Alzheimer’s disease phenotypes in human iPSC-derived brain cell types. Neuron 98:1141–1154 e7

    Article  CAS  Google Scholar 

  33. Moser VA, Pike CJ (2017) Obesity accelerates Alzheimer-related pathology in APOE4 but not APOE3 mice. eneuro 4:ENEURO.0077–17.2017

    Article  Google Scholar 

  34. Mouton PR, Long JM, Lei D-L, Howard V, Jucker M, Calhoun ME et al (2002) Age and gender effects on microglia and astrocyte numbers in brains of mice. Brain Res 956:30–35

    Article  CAS  Google Scholar 

  35. Olah M, Patrick E, Villani A-C, Xu J, White CC, Ryan KJ et al (2018) A transcriptomic atlas of aged human microglia. Nat Commun 9:539

    Article  Google Scholar 

  36. Parhizkar S, Arzberger T, Brendel M, Kleinberger G, Deussing M, Focke C et al (2019) Loss of TREM2 function increases amyloid seeding but reduces plaque-associated ApoE. Nat Neurosci 22:191–204

    Article  CAS  Google Scholar 

  37. Payami H, Zareparsi S, Montee KR, Sexton GJ, Bird TD, Yu C-E et al (1996) Gender difference in apolipoprotein E-associated risk for familial Alzheimer disease: a possible clue to the higher incidence of Alzheimer disease in women. Am J Hum Genet 58:803–11

  38. Peng Q, Malhotra S, Torchia JA, Kerr WG, Coggeshall KM, Humphrey MB (2010) TREM2- and DAP12-dependent activation of PI3K requires DAP10 and is inhibited by SHIP1. Sci Signal 3:38

    Article  Google Scholar 

  39. Pike CJ (2017) Sex and the development of Alzheimer’s disease: sex differences in AD. J Neurosci Res 95:671–680

    Article  CAS  Google Scholar 

  40. Pimenova AA, Marcora E, Goate AM (2017) A tale of two genes: microglial Apoe and Trem2. Immunity 47:398–400

    Article  CAS  Google Scholar 

  41. Plescher M, Seifert G, Hansen JN, Bedner P, Steinhäuser C, Halle A (2018) Plaque-dependent morphological and electrophysiological heterogeneity of microglia in an Alzheimer’s disease mouse model. Glia 66:1464–1480

    Article  Google Scholar 

  42. Poliani PL, Wang Y, Fontana E, Robinette ML, Yamanishi Y, Gilfillan S et al (2015) TREM2 sustains microglial expansion during aging and response to demyelination. J Clin Invest 125:2161–2170

    Article  Google Scholar 

  43. Rahimian R, Cordeau P, Kriz J (2018) Brain response to injuries: when microglia go sexist. Neuroscience 405:14–23

    Article  Google Scholar 

  44. Rodriguez GA, Tai LM, LaDu M, Rebeck G (2014) Human APOE4 increases microglia reactivity at Aβ plaques in a mouse model of Aβ deposition. J Neuroinflammation 11:111

    Article  Google Scholar 

  45. Schwarz JM, Sholar PW, Bilbo SD (2012) Sex differences in microglial colonization of the developing rat brain: sex differences in microglial colonization. J Neurochem 120(6):948–963

    CAS  PubMed  PubMed Central  Google Scholar 

  46. Song WM, Joshita S, Zhou Y, Ulland TK, Gilfillan S, Colonna M (2018) Humanized TREM2 mice reveal microglia-intrinsic and -extrinsic effects of R47H polymorphism. J Exp Med 215:745–760

    Article  CAS  Google Scholar 

  47. Stelzmann RA, Norman Schnitzlein H, Reed Murtagh F (1995) An english translation of alzheimer’s 1907 paper, “über eine eigenartige erkankung der hirnrinde.”. Clin Anat 8:429–431

    Article  Google Scholar 

  48. Stephen T-L, Higgs NF, Sheehan DF, Al Awabdh S, Lopez-Domenech G, Arancibia-Carcamo IL et al (2015) Miro1 regulates activity-driven positioning of mitochondria within astrocytic processes apposed to synapses to regulate intracellular calcium signaling. J Neurosci 35:15996–16011

    Article  CAS  Google Scholar 

  49. Tai LM, Balu D, Avila-Munoz E, Abdullah L, Thomas R, Collins N et al (2017) EFAD transgenic mice as a human APOE relevant preclinical model of Alzheimer’s disease. J Lipid Res 58:1733–1755

    Article  CAS  Google Scholar 

  50. Tai LM, Ghura S, Koster KP, Liakaite V, Maienschein-Cline M, Kanabar P et al (2015) APOE -modulated Aβ-induced neuroinflammation in Alzheimer’s disease: current landscape, novel data, and future perspective. J Neurochem 133:465–488

    Article  CAS  Google Scholar 

  51. Uchoa MF, Moser VA, Pike CJ (2016) Interactions between inflammation, sex steroids, and Alzheimer’s disease risk factors. Front Neuroendocrinol 43:60–82

    Article  CAS  Google Scholar 

  52. Ulland TK, Song WM, Huang SC-C, Ulrich JD, Sergushichev A, Beatty WL et al (2017) TREM2 maintains microglial metabolic fitness in Alzheimer’s disease. Cell 170:649–663.e13

    Article  CAS  Google Scholar 

  53. Ulrich JD, Finn M, Wang Y, Shen A, Mahan TE, Jiang H et al (2014) Altered microglial response to Aβ plaques in APPPS1-21 mice heterozygous for TREM2. Mol Neurodegener 9:20

    Article  Google Scholar 

  54. Ulrich JD, Ulland TK, Mahan TE, Nyström S, Nilsson KP, Song WM et al (2018) ApoE facilitates the microglial response to amyloid plaque pathology. J Exp Med 215:1047–1058

    Article  CAS  Google Scholar 

  55. Villa A, Gelosa P, Castiglioni L, Cimino M, Rizzi N, Pepe G et al (2018) Sex-specific features of microglia from adult mice. Cell Rep 23:3501–3511

    Article  CAS  Google Scholar 

  56. Vinters HV (2015) Emerging concepts in Alzheimer’s disease. Annu Rev Pathol Mech Dis 10:291–319

    Article  CAS  Google Scholar 

  57. Wang Y, Cella M, Mallinson K, Ulrich JD, Young KL, Robinette ML et al (2015) TREM2 lipid sensing sustains the microglial response in an Alzheimer’s disease model. Cell 160:1061–1071

    Article  CAS  Google Scholar 

  58. Wang Y, Ulland TK, Ulrich JD, Song W, Tzaferis JA, Hole JT et al (2016) TREM2-mediated early microglial response limits diffusion and toxicity of amyloid plaques. J Exp Med 213:667–675

    Article  CAS  Google Scholar 

  59. Wolfe C, Fitz N, Nam K, Lefterov I, Koldamova R (2018) The role of APOE and TREM2 in Alzheimer′s disease—current understanding and perspectives. Int J Mol Sci 20:81

    Article  Google Scholar 

  60. Yang Y, Cudaback E, Jorstad NL, Hemingway JF, Hagan CE, Melief EJ et al (2013) APOE3, but not APOE4, bone marrow transplantation mitigates behavioral and pathological changes in a mouse model of Alzheimer disease. Am J Pathol 183:905–917

    Article  CAS  Google Scholar 

  61. Yeh FL, Wang Y, Tom I, Gonzalez LC, Sheng M (2016) TREM2 binds to apolipoproteins, including APOE and CLU/APOJ, and thereby facilitates uptake of amyloid-Beta by microglia. Neuron 91:328–340

    Article  CAS  Google Scholar 

  62. Youmans KL, Tai LM, Nwabuisi-Heath E, Jungbauer L, Kanekiyo T, Gan M et al (2012) APOE4-specific changes in Aβ accumulation in a new transgenic mouse model of Alzheimer disease. J Biol Chem 287:41774–41786

    Article  CAS  Google Scholar 

  63. Yuan P, Condello C, Keene CD, Wang Y, Bird TD, Paul SM et al (2016) TREM2 Haplodeficiency in mice and humans impairs the microglia barrier function leading to decreased amyloid compaction and severe axonal dystrophy. Neuron 90:724–739

    Article  CAS  Google Scholar 

  64. Zhao R, Hu W, Tsai J, Li W, Gan W-B (2017) Microglia limit the expansion of β-amyloid plaques in a mouse model of Alzheimer’s disease. Mol Neurodegener 12:47

    Article  Google Scholar 

Download references

Acknowledgments

The authors thank Dr. Amy Christensen, Mr. Mehul Khetrapal and Ms. Wenjie Qian for technical assistance.

Funding

This study was supported by grants from the Cure Alzheimer’s Fund (CJP, CEF) and the National Institute for Aging AG058068 (CJP, MJL, M. Gatz).

Availability of data and materials

All data generated or analyzed during this study are included in this published article.

Author information

Authors and Affiliations

  1. Leonard Davis School of Gerontology, University of Southern California, 3715 McClintock Avenue, Los Angeles, CA, 90089-0191, USA

    T. L. Stephen, M. Cacciottolo, T. E. Morgan, C. E. Finch & C. J. Pike

  2. Department of Anatomy and Cell Biology, University of Illinois at Chicago, Chicago, IL, 60612, USA

    D. Balu & M. J. LaDu

Authors
  1. T. L. Stephen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. M. Cacciottolo
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. D. Balu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. T. E. Morgan
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. M. J. LaDu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. C. E. Finch
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. C. J. Pike
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

TS, TEM, MJL, CEF, and CJP made substantial conceptual contributions to the project. TS and CJP designed the experiment. TS, MC, TEM, and DB contributed to experimental work. TS performed all imaging and analyses. CJP supervised the project. CJP, MJL, and CEF secured funding for the study. TS and CJP wrote the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to C. J. Pike.

Ethics declarations

Ethics approval and consent to participate

Experiments were conducted on a protocol (#20846) approved by the University of Southern California Institutional Animal Care and Use Committee.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Additional files

Additional file 1:

Figure S1. Representative low magnification images demonstrate that amyloid deposition is predominantly localized to regions of hippocampus (HP) and cortex (CX) in EFAD mice. Images show ThioS-stained sagittal sections from 6 month-old male (left panels) and female (right panels) E3FAD (upper row) and E4FAD (lower row) mice. Insets show higher magnification of the subiculum region of hippocampus. (TIF 17011 kb)

Additional file 2:

Figure S2. (A) Quantification of amyloid plaque load (% of total ROI area) in male (M) and female (F) EFAD mice in the subiculum of the HPC with APOE3 (open bars) and APOE4 (filled bars) genotypes. (B) Quantification of microglia load (% of total ROI area) near (< 100 μm) ThioS-positive plaques in the subiculum. (C) Quantification of TREM2 load in the subiculum near (< 100 μm) ThioS-positive plaques. * denotes p < 0.05, ** denotes p < 0.01, *** denotes p < 0.001, **** denotes p < 0.0001 (TIF 6479 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Stephen, T., Cacciottolo, M., Balu, D. et al. APOE genotype and sex affect microglial interactions with plaques in Alzheimer’s disease mice. acta neuropathol commun 7, 82 (2019). https://doi.org/10.1186/s40478-019-0729-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s40478-019-0729-z

Keywords

  • Alzheimer’s disease
  • Amyloid
  • Apolipoprotein E
  • Microglia
  • Plaques
  • Sex differences
  • TREM2

Acta Neuropathologica Communications

ISSN: 2051-5960

Contact us