BRIEF RESEARCH REPORT article

Front. Cell. Neurosci., 15 October 2020
Sec. Non-Neuronal Cells
https://doi.org/10.3389/fncel.2020.558181

Sex Differences of Microglia and Synapses in the Hippocampal Dentate Gyrus of Adult Mouse Offspring Exposed to Maternal Immune Activation

  • 1Axe neurosciences, Centre de Recherche, Centre Hospitalier Universitarie de Qu-Université Laval, Québec, QC, Canada
  • 2Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
  • 3Master Neuroscience and Cognition, Faculty of Science, Utrecht University, Utrecht, Netherlands
  • 4Department of Biochemistry, Microbiology, and Bioinformatics, Faculty of Science and Engineering, Université Laval, Québec, QC, Canada
  • 5Department of Molecular Medicine, Faculty of Medicine, Université Laval, Québec, QC, Canada
  • 6Neurology and Neurosurgery Department, McGill University, Montréal, QC, Canada
  • 7Department of Biochemistry and Molecular Biology, The University of British Columbia, Vancouver, BC, Canada

Schizophrenia is a psychiatric disorder affecting ∼1% of humans worldwide. It is earlier and more frequently diagnosed in men than woman, and men display more pronounced negative symptoms together with greater gray matter reductions. Our previous findings utilizing a maternal immune activation (mIA) mouse model of schizophrenia revealed exacerbated anxiety-like behavior and sensorimotor gating deficits in adult male offspring that were associated with increased microglial reactivity and inflammation in the hippocampal dentate gyrus (DG). However, both male and female adult offspring displayed stereotypy and impairment of sociability. We hypothesized that mIA may lead to sex-specific alterations in microglial pruning activity, resulting in abnormal synaptic connectivity in the DG. Using the same mIA model, we show in the current study sex-specific differences in microglia and synapses within the DG of adult offspring. Specifically, microglial levels of cluster of differentiation (CD)68 and CD11b were increased in mIA-exposed females. Sex-specific differences in excitatory and inhibitory synapse densities were also observed following mIA. Additionally, inhibitory synaptic tone was increased in DG granule cells of both males and females, while changes in excitatory synaptic transmission occurred only in females with mIA. These findings suggest that phagocytic and complement pathways may together contribute to a sexual dimorphism in synaptic pruning and neuronal dysfunction in mIA, and may propose sex-specific therapeutic targets to prevent schizophrenia-like behaviors.

Introduction

Schizophrenia is a psychiatric disorder that affects ∼1% of humankind. It is more frequently diagnosed in men than women; additionally, men are more likely to have an earlier age of disease onset and experience more negative symptoms (Mendrek and Mancini-Marïe, 2016). Microglia, yolk-sac derived innate immune cells that inhabit the brain early during development, potentially contribute to these sex differences. Microglia are required for proper brain development, plasticity and homeostasis (Tian et al., 2017). Their pruning of synapses can be mediated through the complement (C) 3/C1q pathway (Stevens et al., 2007; Paolicelli et al., 2011; Schafer et al., 2012), which may contribute to an inadequate synaptic maintenance when abnormally active in disease (Druart and Le Magueresse, 2019). In response to changes in homeostasis, microglia can acquire reactive phenotypes, in which they increase their secretion of inflammatory cytokines and neurotrophic factors, as well as modify their phagocytic activity (Kettenmann et al., 2011; Cherry et al., 2014). Microglial alterations were reported throughout the post-mortem brains of schizophrenia patients, specifically an increase in ionized calcium binding adaptor molecule (IBA) 1-immunopositive (+) cells (Mongan et al., 2019). Animal models of schizophrenia induced by maternal immune activation (mIA) show microglial alterations (Juckel et al., 2011; Ratnayake et al., 2012; Pratt et al., 2013; Van den Eynde et al., 2014; Giovanoli et al., 2016). Our previous work revealed overall sex differences in microglial density, and, utilizing a polyinosinic:polycytidylic acid (poly I:C) mIA mouse model, increased morphological index (soma area/arborization area) and interactions with synapses in the hippocampal dentate gyrus (DG) of adult male offspring, correlating with schizophrenia-like behavioral deficits (Hui et al., 2018).

In addition to sex differences in schizophrenia, there is significant sexual dimorphism in embryonic migration, gene expression and function of microglia throughout life (Bordeleau et al., 2019). Microglial density and morphology differ between sexes in the rat hippocampus: at embryonic day (E) 17 there are no sex differences, but at postnatal (P) 0, females show increased numbers of ameboid and stout microglia; whereas at P4, males have more ameboid, stout and non-ramified microglia; then at P30 and P60, females display more abundant microglia with longer or ramified processes (Schwarz et al., 2012). Microglial phagolysosomal activity is sexually dimorphic in the mouse hippocampus: females at P3 have greater numbers of microglia with phagocytic cups in which cluster of differentiation (CD) 68, a marker of phagolysosomal activity, colocalizes with neuronal elements (Nelson et al., 2017); while females at P8 and males at P28 have greater staining intensity for CD68 (Weinhard et al., 2018). Based on these findings, we hypothesized that mIA induced with poly I:C may lead to sex-specific alterations in microglial phagocytosis, resulting in abnormal synaptic pruning in the DG, leading to the behavioral outcomes observed at adulthood. The DG is a region that is greatly affected by schizophrenia, as neuroimaging reports show reduced volumes in patients and animal models (Tavitian et al., 2019). There is also a potential arrestment of maturation of granule cells (GCs) in the DG in both patients with and potentially in animal models of schizophrenia (Tavitian et al., 2019), which may be the result of defective synaptic elimination (Feinberg, 1982). We examined in this study changes in microglial phagocytic markers, complement system, neuronal oxidative stress, as well as synaptic density and activity in the DG of adult male and female mouse offspring exposed to mIA at E9.5.

Materials and Methods

Animals

Animals were housed under a 12 h light–dark cycle at 22–25°C, with free access to food and water. Experimental animals were generated from C57Bl/6 mice (Charles River). All experiments were approved by Université Laval’s animal ethics committees, according to the Canadian Council on Animal Care’s guidelines.

Poly I:C Maternal Immune Activation Model

Infection was simulated by intraperitoneal (i.p) injection of poly I:C potassium salt (Sigma-Aldrich, P9582) (5 mg/kg in sterile saline) at E9.5 as described (Hui et al., 2018). A vehicle control group received sterile saline. Each analysis included animals from three to five litters. Two to five mice per sex/group were housed together until behavioral testing from P60 to P80 followed by sacrifice 48 h later (cohorts 1 and 2; detailed in Hui et al., 2018), or sacrifice at P80–90 (cohort 3 for electrophysiology). Cohorts 1 and 2 mice were anesthetized with ketamine-xylazine (80/10 mg/mL), then cohort 1 mice were transcardially perfused with ice-cold phosphate buffered saline (PBS; 50 mM, pH 7.4). Right hemisphere hippocampi were dissected and kept at −80°C for molecular studies. Left hemispheres were fixed by immersion in 4% paraformaldehyde (PFA; Electron Microscopy Sciences) at 4°C overnight. Cohort 2 mice were transcardially perfused with 0.2% glutaraldehyde (Electron Microscopy Sciences)/4% PFA.

Fluorescent Immunohistochemistry

Left hemispheres were sectioned longitudinally at 30 μm using a cryostat. Sections containing the dorsal hippocampal DG (Bregma 0.36–1.00) (Paxinos and Watson, 1998) were processed for fluorescent immunohistochemistry. Sections were incubated in 0.1 M citrate buffer at 85°C for 8–10 min for antigen retrieval. After the slides cooled, they were washed with PBS and incubated in blocking buffer for 1 h at room temperature (RT). Sections were then incubated with primary antibodies overnight at 4°C, rinsed in PBS and incubated with secondary antibodies for 2 h at RT (see Supplementary Table S1 for antibody information). Sections were then washed in PBS, counter-stained with 4′,6-diamidino-2-phenylindole (DAPI) (1:20,000; Thermo Fisher Scientific) and coverslipped in Fluoromount-G (SouthernBiotech).

Confocal Imaging

All imaging analyses were performed by an investigator unaware of experimental conditions.

Confocal Imaging and Quantitative Analysis of Microglia, Astrocytes and Neurons

Using a Quorum WaveFX Spinning disc confocal microscope, Z-stacks (∼50 slices, Δz = 0.5 μm) were acquired at 20x magnification with an ORCA-R2 camera (Hamamatsu, 1,344 × 1,024 pixels) in two regions of interest (ROI) in the DG for each section, covering the GCs layer (GL) and polymorphic layer (PL). Two sections per animal were imaged and the results averaged. Focus stacking was performed with Volocity (Version 5.4, PerkinElmer). Colocalization of CD68 in IBA1+ microglia was assayed with ImageJ (National Institutes of Health). Twenty to thirty microglia were analyzed per animal. The analysis focused on cell bodies, as staining was diffuse in processes. Data are presented as CD68 counts per IBA1+ microglial cell. Signal intensity was assayed for glial fibrillary acidic protein (GFAP), C1q, C3, CD11b, and 3-nitrotyrosine (3-NT) using ImageJ. For each combination of antibodies, sections were imaged with the same laser intensity and were quantified using the area measurement tool keeping the threshold values constant. Data are expressed as percent area.

Confocal Imaging for Synaptic Density and Staining Intensity Analysis

Confocal imaging of the DG was performed with a Carl Zeiss LSM-800 laser scanning confocal microscope. Z-stacks (15 steps (Δz = 0.33 μm) were acquired using a Plan-Apochromat 63×/1.4 oil immersion objective (1,024 × 1,024 pixels). Two regions of interest (ROI) were imaged in the PL of two to three sections per animal. Synaptic puncta analysis was performed manually with ImageJ in locations devoid of DAPI staining. For inhibitory puncta analysis, a ROI of 30 × 30 μm was selected. Vesicular gamma aminobutyric acid (GABA) transporter (VGAT) and gephyrin puncta were counted individually before merging channels to count overlapping puncta. For excitatory puncta analysis, a ROI of 20 × 20 μm was selected. Maximum intensity projections were created from 4 z-steps. All puncta were counted in individual channels for Homer1 and vesicular glutamate transporter (VGLUT) 1 before merging channels to identify overlap. See Supplementary Materials and Methods for additional information.

Tissue Preparation and Immunoperoxidase Signaling for Electron Microscopy

Fifty micrometer transverse sections from Bregma 2.12–1.64 (Paxinos and Watson, 1998) were cut using a vibratome. They were processed as described (Bisht et al., 2016). Briefly, sections were washed in Tris-buffered saline (TBS), quenched, and processed for CD68 immunostaining. They were blocked and incubated overnight in primary antibody (Supplementary Table S1) at 4°C, washed, incubated with secondary antibody for 1.5 h at RT, and then incubated with ABC Vectastain (1:100; Vector Laboratories, #PK−6100), diaminobenzidine (0.05%) and hydrogen peroxide (0.015%). The sections were post-fixed in 1% osmium tetroxide, dehydrated in ethanol, and embedded with Durcupan at 55°C for 72 h. Areas of the DG (PL and GL) were cut at 70–80 nm using an ultramicrotome (Leica Ultracut UC7). Ultrathin sections were examined at 80 kV with a FEI Tecnai Spirit G2 transmission electron microscope (TEM). Imaging was performed at 6,800X, using an ORCA-HR digital camera (10 MP; Hamamatsu). Dark neuronal cell bodies and dendrites were identified ultrastructurally as described previously (Tremblay et al., 2012; Audoy-Rémus et al., 2015). Their density was expressed as numbers per mm2 of screened tissue surface, using the systematic approach developed for dark microglia analysis (Bisht et al., 2016; Hui et al., 2018).

Gene Expression Analysis Using Quantitative Real-Time PCR

Tissue was homogenized using the QIAzol lysis reagent (Qiagen) and total RNA was extracted by phenol-chloroform method. One microgram of total RNA was reverse transcribed into cDNA using the iScript cDNA synthesis kit (BioRad). Real-time PCR was performed with the SsoAdvanced universal SYBR Green supermix kit (BioRad) in a Lightcycler 480II (Roche). Primers (Supplementary Table S2) were designed using NCBI Primer Blast (Hui et al., 2018). Relative expression was calculated with the 2–ΔΔCT method using Gapdh for normalization (Yuan et al., 2006).

Electrophysiological Patch-Clamp Recordings

Cohort 3 mice were anesthetized with ketamine-xylazine (10/100 mg/mL) and perfused intracardially with an ice-cold sucrose-based solution (Supplementary Table S3). Transverse hippocampal slices (300 μm) were obtained using a vibratome (Microm HM 650V, Thermo Scientific) in the same sucrose-based solution oxygenated with 95%O2/5%CO2, and transferred into the heated oxygenated recovery solution (Supplementary Table S3) until use.

For electrophysiological recordings, slices were transferred to the recording chamber perfused continuously with an oxygenated artificial cerebrospinal fluid (ACSF) and maintained at near physiological temperature (Supplementary Table S3). The GCs within the DG were visually identified using a Nikon (Eclipse FN1) microscope with infrared differential interference contrast microscopy using a 40× (NA 0.8) water-immersion objective. Patch pipettes (3.5–6 MΩ) were made from borosilicate glass capillaries using a Flaming/Brown micropipette puller (Sutter Instrument Co.). Whole-cell patch-clamp recordings (5–10 min) were performed in voltage-clamp at –70 mV for miniature excitatory post-synaptic currents (mEPSCs) and at +10 mV for miniature inhibitory post-synaptic currents (mIPSCs). The passive membrane properties were taken immediately upon membrane rupture. The same intracellular solution (Supplementary Table S3) and ACSF with tetrodotoxin (TTX; 1 μM; Alomone Labs; for blocking action potentials) were utilized in all experiments. Data acquisition (digitized at 10 kHz; Digidata 1550A, Molecular Devices) was performed using the MultiClamp 700B amplifier and the pCLAMP 10.5 software (Molecular Devices). The resting membrane potential was taken immediately upon membrane rupture. The input resistance and the membrane capacitance were detected automatically during the first minute of whole-cell configuration using a 5 mV square pulse in Membrane Test of Clampex 10.7 software. More than 200 events per neuron were selected using an automated template search algorithm in Clampfit. All events were counted for frequency analysis as described previously (David and Topolnik, 2017). Anatomical analysis of biocytin-filled neurons was also performed (Supplementary Materials and Methods).

Statistics

Data were analyzed using Prism (GraphPad, Version 8), Clampfit 10.7, Excel, IGOR Pro (Wavematrics) and Statistica (Tibco). Two-way ANOVAs with post hoc analyses using Bonferroni corrections were used to determine interactions between poly I:C exposure and sex effects. Outliers were determined using the ROUT test (Q = 0.1%; GraphPad) for cohort 1 and 2 animals. For cohort 3 animals, data distributions were tested for normality using Shapiro-Wilcoxon test, and Kolmogorov-Smirnov test was used for comparison of pooled data from individual cells. p < 0.05 was considered statistically significant. All data are reported as mean ± standard error of the mean (SEM).

Results

mIA Increases CD68 Levels in IBA1+ Microglia of Female but Not Male Offspring

We first assessed microglial phagolysosomal activity by immunofluorescent confocal microscopy against CD68 in the DG of adult offspring. In response to mIA, IBA1+ microglia had increased numbers of CD68 puncta in female vs. male offspring, in both the GL and PL (Figures 1A–C), indicating an increased phagocytic activity in the DG of female offspring. The baseline levels of CD68 also differed between sexes, with males showing greater immunoreactivity than females in the GL and PL of saline offspring (Figures 1A–C). Immunocytochemical TEM confirmed the localization of CD68 protein in microglial soma and processes from mIA and control offspring, across the GL and PL. CD68 staining was particularly found on endosomes, lysosomes and the plasma membrane, suggesting extracellular digestion or “exophagy” (Figure 1D). CD68 was not found, however, in GFAP+ astrocytes (Figure 1E). These data indicate that microglia from mIA-exposed female but not male offspring display increased phagolysosomal activity in the DG, with more pronounced changes observed in the PL.

FIGURE 1
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Figure 1. Male (left); female (right); saline (black outlined white bars with black outlined circles); poly I:C (black bars with black outline squares). n = 4–5 animals/group. p < 0.05; ∗∗p < 0.01; ∗∗∗p < 0.001. CD68 levels were increased in IBA1+ microglia in the hippocampal DG of female mice exposed to maternal poly I:C. (A) Representative images (20x) (left of each pair) and 5x magnified pictures (100x) (right of each pair) of IBA1+ microglia containing CD68 puncta from each condition (left half: males, right half: females; saline: top, poly I:C: bottom). Each image was from the DG and includes the granule cell layer (GL) and polymorphic layer (PL). IBA1+ microglia are shown in red, CD68 puncta in green and DAPI stained nuclei in blue. Scale bar = 50 μm (20x) and 10 μm (100x). (B) CD68 puncta counts per IBA1+ microglia in the GL. There was an increase in CD68 counts in female offspring exposed to poly I:C [interaction: F(1, 14) = 5.41, p = 0.04; p = 0.05], but not male offspring (p > 0.99). There were less microglial CD68 puncta in females than males from saline exposed dams (p = 0.009), but not poly I:C exposed dams (p > 0.99). There was also a main effect of sex [F(1, 14) = 5.88, p = 0.03] with males having greater CD68 counts in total; but not between saline and poly I:C [F(1, 14) = 2.02, p = 0.18]. (C) CD68 counts per IBA1+ microglia in the PL. As with the GL, there was an increase in CD68 levels in females prenatally exposed to poly I:C [interaction: F(1, 14) = 7.99, p = 0.01; p = 0.0006], contrary to males (p > 0.99). Males whose dams were exposed to saline had greater CD68 levels than females (p = 0.002), but there were no sex differences in the poly I:C exposed offspring (p > 0.99). There was a main effect of sex [F(1, 14) = 9.14, p = 0.009], with males having greater CD68 counts overall, and of poly I:C administration also leading to greater CD68 puncta counts overall [F(1, 14) = 18.09, p = 0.0008]. (D) Representative electron micrograph (left) confirming the association of CD68 to lysosomes inside microglial cell bodies in mice exposed to mIA. White arrows indicate CD68 signal surrounding lysosomes and white asterisks represent CD68 signal adjacent to extracellular digestion. Scale bar = 2 μm. Representative electron micrograph (right) (6,800x) showing CD68 staining in a microglial process. Scale bar = 2 μm. (E) CD68 signal did not colocalize with GFAP+ astrocytes. Representative image from saline and poly I:C conditions. Each image was taken of the DG and included the GL and PL. GFAP+ astrocytes are show in red, CD68 puncta in green and indicated by white arrows, and DAPI stained nuclei in blue. Scale bar = 50 μm.

mIA Is Associated With Changes in the Complement System in Male and Female Offspring

One hemisphere of the whole hippocampus of adult offspring was examined by quantitative real-time PCR. Overall, there were no changes with mIA or between sexes in the expression of genes related to synaptic development or maintenance (Stx1a, Vamp2, Snap25, Bdnf, Fmr1, and Shank2) (Supplementary Table S4). For genes involved in phagocytosis or synaptic pruning, there was a reduction with mIA in the expression of complement system components C1q (Figure 2A) and C3 (Figure 2B), without changes in the expression of Axl, MerTK, Gas6, and C4a (Supplementary Table S4).

FIGURE 2
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Figure 2. Male (left); female (right); saline (black outlined white bars with black outlined circles); poly I:C (black bars with black outline squares). n = 4–5 animals per group. *p < 0.05, **p < 0.01. mIA led to decreased expression of C1q and C3 in the hippocampus, reduced levels of C1q and increased levels of C3 in the DG in a sex independent manner, while increasing CD11b levels in the DG of female offspring. (A) Relative expression of C1q in the DG. There was an overall reduction from maternal poly I:C exposure [F(1, 15) = 5.19, p = 0.04]. There was not an overall effect of sex [F(1, 15) = 0.65, p = 0.43] or interaction between the two factors [F(1, 15) = 2.70, p = 0.12]. (B) Relative expression of C3 in the DG. As with C1q, there was an overall reduction in offspring whose dams were exposed to poly I:C [F(1, 14) = 7.16, p = 0.02]. There was not an effect of sex [F(1, 14) = 0.06, p = 0.81] or an interaction between the two [F(1, 14) = 0.25, p = 0.63]. (C) C1q levels were lower in offspring whose dams were exposed to poly I:C [F(1, 15) = 4.89, p = 0.04]. There was not an overall effect of sex [F(1, 15) = 0.009, p = 0.93] or interaction between the two [F(1, 15) = 1.81, p = 0.20]. (D) Representative images (left half: males, right half: females; saline: top, poly I:C: bottom) of C1q levels in the hippocampal DG (MAP2 (neurons; red, left); C1q (green, middle); merged [MAP2 (red)/C1q (green)/DAPI stained nuclei (blue); right)]. Each image was from the DG and includes the granule cell layer (GL) and polymorphic layer (PL). Scale bar = 50 μm. (E) Representative images (left half: males, right half: females; saline: top, poly I:C: bottom) of C3 levels in the DG [GFAP (astrocytes; red, left); C3 (green, middle); merged (GFAP (red)/C3 (green)/DAPI stained nuclei (blue); right)]. Each image was from the DG and includes the GL and PL. Scale bar = 50 μm. (F) C3 levels were greater in offspring from poly I:C exposed mothers [F(1, 13) = 10.01, p = 0.008]. There was not an effect of sex [F(1, 13) = 0.008, p = 0.93] or an interaction between the two [F(1, 13) = 0.04, p = 0.84]. (G) GFAP levels were also greater in offspring following maternal poly I:C administration [F(1, 13) = 14.65, p = 0.002]. There was not an effect of sex [F(1, 13) = 2.37, p = 0.15] or interaction between the two [F(1, 13) = 0.33, p = 0.57]. (F) The levels of C3 in GFAP+ positive cells was also greater in offspring when dams were exposed to poly I:C [F(1, 13) = 9.65, p = 0.008]. There was not an effect of sex [F(1, 13) = 0.31, p = 0.59] or an interaction between the two [F(1, 13) = 0.04, p = 0.84]. (H) Representative images of CD11b (green) levels in the DG (left: males, right half: females; saline: top, poly I:C: bottom). Each image was from the DG and includes the GL and PL. Scale bar = 50 μm. (I) CD11b levels were greater in offspring following maternal poly I:C administration [F(1, 15) = 4.61, p = 0.05]; furthermore, female offspring, from dams who were exposed to either saline or poly I:C had greater CD11b levels [F(1, 15) = 11.57, p = 0.004]. There was not an interaction between the two [F(1, 15) = 1.34, p = 0.26].

We then used immunofluorescent staining to examine by confocal microscopy protein levels of complement components in the DG of adult offspring. C1q staining did not localize to IBA1+ microglia (Supplementary Figure S1A) or GFAP+ astrocytes (Supplementary Figure S1B). Complementary to gene expression, C1q protein levels in microtubule-associated protein (MAP) 2+ neurons were lower in mIA-exposed offspring (Figures 2C–D). C3 protein levels, unlike gene expression data, were also greater in mIA-exposed offspring (Figures 2E–H). Confocal microscopy additionally revealed that C3 protein localizes to GFAP+ astrocytes (Figure 2E), while GFAP staining intensity was increased in mIA-exposed offspring (Figure 2G). Proteins levels of complement receptor 3 (CR3)’s component CD11b were assayed, revealing increased staining in mIA-exposed offspring and overall in females (Figures 2I,J). Together these data reveal alterations of the complement system following mIA, without a clear pattern emerging regarding sex differences, except for greater levels of CD11b in females.

mIA Increases the Density of Excitatory and Inhibitory Synapses in Males While Reducing Excitatory Synapses in Females

To provide functional insights into these changes in phagolysosomal activity and the complement system, we measured synaptic density by immunofluorescent confocal microscopy, in the PL of adult offspring. Inhibitory synapses were assessed via colocalization of VGAT (presynaptic) and gephyrin (post-synaptic) (Figures 3A,B). Excitatory synapses were assessed by colocalization of VGLUT1 (presynaptic) and Homer1 (post-synaptic) (Figures 3A,C). There was potential increased density (Figure 3D) and staining intensity (Supplementary Figures S3A,B) of inhibitory synapses with mIA in males but not females; additionally, there were potential baseline sex differences in inhibitory synapses, with males having fewer than females (Figure 3D). For excitatory synapses, between males and females and following mIA, there was a potential interaction; pattern-wise, males showed an increase, and females a decrease in their density (Figure 3E); for staining intensity, there was only an effect of mIA on VGLUT1 but no effect on Homer1 (Supplementary Figures S2C,D). Similarly, there were baseline sex differences, with females having more excitatory synapses than males (Figure 3E). These data indicate that following mIA, there is a dynamic synaptic reorganization taking place in the PL, where inhibitory and excitatory synapses both increase in male offspring, and where inhibitory synapses are unchanged while excitatory synapses decrease in female offspring.

FIGURE 3
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Figure 3. Male (left); female (right); saline (black outlined white bars with black outlined circles); poly I:C (black bars with black outline squares). n = 3–5 animals per group. #p < 0.1; *p < 0.05. Maternal poly I:C administration led to increased excitatory and inhibitory synapse levels in the PL in males, but reduced excitatory synapse levels in females, as well as increased dark neurons in the PL, without changing levels of the neuronal oxidative stress marker, 3-NT in the DG. (A) Representative image of inhibitory and excitatory markers in the DG. Overview of the DG (left) (DAPI stained nuclei in blue; scale bar = 200 μm). Magnified images (63x) containing the polymorphic layer (PL) of the DG. The middle shows a representative image of inhibitory puncta (VGAT in green; Gephyrin in red; and DAPI stained nuclei in blue; scale bar = 10 μm). The right image shows a representative image of excitatory puncta (VGLUT in red; Homer1 in green; DAPI stained nuclei in blue; scale bar = 10 μm). (B) Representative images (63x) of components of inhibitory synapses (left, VGAT in green; middle, Gephyrin in red; right, merged; scale bar = 1 μm). (C) Representative images (63x) of components of excitatory synapses (left, VGLUT in red; middle, Homer1 in green; right, merged; scale bar = 1 μm). (D) There were potential baseline sex differences in inhibitory synapses between males and females [main effect, sex, F(1, 12) = 3.31, p = 0.09; p = 0.06], with males having less than females, but not following mIA (p > 0.99). There was no significant effect of poly I:C on excitatory synapses [interaction, F(1, 12) = 2.72, p = 0.13]; main effect, poly I:C [F(1, 12) = 1.71, p = 0.22]; males (p = 0.12); females (p > 0.99). (E) There were potential differences in excitatory synapses between males and females and following maternal poly I:C administration [interaction, F(1, 12) = 4.61, p = 0.06], although specific comparisons revealed no significant changes (males saline vs. poly I:C, p = 0.41; females saline vs. poly I:C, p = 0.23; saline males vs. females, p = 0.30; poly I:C males vs. females, p = 0.32), the pattern was males had lower levels compared to females at baseline, which was increased following poly I:C, whereas females had reduced levels following poly I:C. (F) Representative electron micrographs (6,800x) from the PL showing a healthy neuron (nucleus pseudocolored yellow; left), dark neuron (nucleus pseudocolored yellow; middle) and a dark dendrite (right). Scale bar = 2 μm. (G) There was no overall effect of maternal poly I:C administration or sex differences on the density of dark neuronal soma/dendrites in the granule cell layer (GL) of the DG [interaction, F(1, 8) = 1.57, p = 0.25; main effect of sex, F(1, 8) = 4.53, p = 0.07; main effect of poly I:C, F(1, 8) = 1.88, p = 0.21]. (H) In the polymorphic layer (PL) of the DG, maternal poly I:C administration increased dark neuronal soma and dendrites numbers [main effect, F(1, 8) = 7.47, p = 0.03]. There was not an effect of sex [main effect, F(1, 8) = 0.18, p = 0.68] or interaction between the two [F(1, 8) = 1.19, p = 0.31]. (I) There was no overall effect of maternal poly I:C administration or sex differences on the levels of 3-NT in the DG [interaction, F(1, 15) = 0.15, p = 0.70; main effect of sex, F(1, 15) = 1.31, p = 0.27; main effect of poly I:C, F(1, 15) = 0.07, p = 0.80]. (J) Representative images from each condition (left half: males, right half: females; saline: top, poly I:C: bottom) of dentate gyri with immunohistochemistry for 3-NT (oxidative stress marker; red, left), MAP2 (neuronal markers; green, middle) and merged [3-NT (red)/MAP2 (green)/DAPI (nuclei; blue)]. Each image was from the DG and includes the GL and PL. Scale bar = 50 μm.

mIA Increases Dark Neurons Without Affecting 3-NT Levels in Both Sexes

To determine whether these changes of synapses are associated with altered neuronal health, we next examined the occurrence of dark neurons in the DG of adult offspring. Dark neurons are recognized by cellular stress markers: increased nuclear and cytoplasmic condensation, loss of heterochromatin pattern, as well as dilation of endoplasmic reticulum/Golgi apparatus; and are not necrotic or apoptotic (Turmaine et al., 2000; Tremblay et al., 2012; Henry et al., 2018). In the GL, the density of dark neuronal soma/dendrites was unchanged following mIA (Figures 3F,G). In the PL, however, there was a general effect of mIA increasing the numbers of dark neuronal soma/dendrites (Figures 3F,H). By immunofluorescent confocal microscopy, the levels of 3-NT, a biomarker of reactive nitrogen species formation (Walker et al., 2001), was also examined in the DG of adult offspring. 3-NT was only observed in MAP2+ neurons. There was no effect of mIA on 3-NT levels in both males and females (Figures 3I,J). These data combined point to potential neuronal stress following mIA, without any change in the oxidative stress marker 3-NT in neurons of the DG.

mIA Induces Sex-Specific Alterations in mIPSCs and mEPSCs of GCs

Lastly, we investigated whether the observed changes in microglia and synapses are associated with functional or morphological alterations in the DG GCs of adult offspring. While no changes were revealed in the passive membrane properties (Supplementary Table S5) or the morphological features of GCs (Supplementary Figure S3), both mEPSCs and mIPSCs showed sex-specific differences. Specifically, while the amplitude of mIPSCs was increased in both males and females exposed to mIA, the frequency of mIPSCs was only increased in males (Figures 4A,B), consistent with a higher inhibitory synapse density in the PL of males (Figure 3A). Contrastingly, there was no effect of mIA on mEPSCs in males (Figure 4C). However, with mIA, mEPSC amplitude was increased while frequency was decreased in females (Figure 4D), which could be associated with a loss of excitatory synapses, and compensatory increase in conductance at the surviving contacts. Together, these results revealed an increased inhibitory tone in both sexes, as well as female offspring-specific changes in GCs excitatory synaptic transmission following maternal exposure to poly I:C.

FIGURE 4
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Figure 4. Saline (top, black; male: n = 7 cells/5 mice; female: n = 9 cells/6 mice) or poly I:C (bottom, red; male: n = 5 cells/4 mice; female: n = 10 cells/5 mice). mIA led to increased mIPSC amplitude in GC of both males and females, together with increased mIPSC frequency in males, while increasing mEPSC amplitude but decreasing mEPSC frequency in females, without altering mEPSCs in males. (A–D) Representative traces from the GCs of the DG for miniature inhibitory post-synaptic currents (mIPSCs) in male (A) and female (B) offspring whose dams were exposed to saline or poly I:C. Representative traces from the DG GCs for miniature excitatory post-synaptic currents (mEPSCs) in male (C) and female (D) offspring whose dams were exposed to saline (top, black) or poly I:C (bottom, red). Scale bars indicate 20 pA (vertical) and 100 ms (horizontal). (A) Maternal poly I:C exposure increased the amplitude (median: saline, 27.6 pA; poly I:C, 38.6 pA; p < 0.0001) and frequency (median: saline, 1.75 Hz; poly I:C, 2.85 Hz; p < 0.0001) of mIPSCs in male offspring. (B) As with males, in female offspring of dams exposed to poly I:C, there was an increase in the amplitude (median: saline, 28.3 pA; poly I:C, 47.0 pA; p 0.0001), but not the frequency of mIPSCs (median: saline, 2.10 Hz; poly I:C, 2.60 Hz; p > 0.05). (C) There was no effect of maternal poly I:C administration in male offspring on either the amplitude (median: saline, 23.6 pA; poly I:C, 21.0 pA; p > 0.05) or frequency (median: saline, 5.4 Hz; poly I:C, 5.9 Hz; p > 0.05) of miniature excitatory post-synaptic currents (mEPSCs). (D) Maternal poly I:C exposure increased the amplitude (median: saline, 22.2 pA; poly I:C, 31.7 pA; p 0.0001) but decreased the frequency (median: saline, 3.25 Hz; poly I:C, 1.90 Hz; p 0.01) of mEPSCs in females.

Discussion

This study highlights sex differences in microglial phagolysosomal activity, complement system, neuronal health, and excitatory and inhibitory synapse density and activity, in the DG of adult offspring exposed to mIA with poly I:C. Most of the observed changes were likely sex independent, including the alterations in C1q and C3 expression and levels; increase in dark neuron and dendrite density; and increase in mIPSC amplitude. However, a number of changes were sex specific, including the increase in CD68 and CD11b levels (both in general and following mIA) observed in female offspring, and the reorganization of inhibitory and excitatory synapses number and activity following mIA.

CD68 is a marker of phagolysosomal activity that is often used to assess the reactivity of microglia (Korzhevskii and Kirik, 2016). In our data, CD68 was exclusively expressed by IBA1+ cells, which likely represented microglia, but could also be infiltrating macrophages (González Ibanez et al., 2019). This is the first example of baseline sex differences in CD68 levels measured in the DG at adulthood; but there are previous reports of sex differences in which microglial CD68 is greater in females among hippocampus CA1 and forebrain regions earlier in development (Weinhard et al., 2018; Yanguas-Casás et al., 2018). Specifically, females had lower CD68 levels that increased with mIA, whereas males had stable levels that remained unchanged following mIA. This could indicate a ceiling, where the amount of CD68 is already higher in males, and thus is unable to manifest a sustained response to mIA at the time point analyzed in this study; or an earlier, transient change in phagolysosomal activity in males. Alternatively, we previously observed an increased density of dark microglia, which downregulate IBA1 and display high phagocytic activity, in males with mIA (Hui et al., 2018), it is possible that males could recruit different microglial subsets. This change in CD68 levels in females could be related to the mIA-induced reductions in excitatory synapses and mEPSC frequency.

In addition to mounting an increase in CD68 following exposure to mIA, females had greater CD11b levels, both basally and in response to mIA. This pattern was observed in the hippocampus of an Alzheimer’s disease model (Gallagher et al., 2013). CD11b is part of CR3, and phagocytosis can be triggered by iC3b’s (C3’s cleavage product) interaction with CR3 (Fu et al., 2012). In our work, we saw reductions in hippocampal expression of C1q and C3 following mIA, across sexes, and also with protein levels of C1q, in neurons. These reductions could reflect a decrease in complement-mediated synaptic elimination (Stevens et al., 2007; Druart and Le Magueresse, 2019; Sellgren et al., 2019; Magdalon et al., 2020; Tenner, 2020). However, unlike the gene expression, C3 protein levels are increased with mIA across both sexes. These differences could highlight differences between DG and whole hippocampus; or could be protein driving gene regulation. C3 is located further downstream along the classical complement cascade, but is also activated by the alternative and lectin complement cascades (Druart and Le Magueresse, 2019). It is possible that increases in these multiple pathways drive synapse elimination differently across neuronal subtypes or regions. A parsimonious explanation may be that in males the mIA-induced reduction of neuronal C1q leads to reduced microglia-mediated synapse elimination (as inhibitory and excitatory synapses were more abundant in the PL with mIA), whereas in females there is an increase in C3, and greater still an increase in CD11b, that leads to elimination of excitatory synapses with mIA. Interestingly, C3 levels in our data were increased in GFAP+ astrocytes. Astrocytic C3 production may modulate synaptic density, as observed in models of Alzheimer’s disease (Lian et al., 2015, 2016; Luchena et al., 2018), amyotrophic lateral sclerosis (Heurich et al., 2011), perioperative neurocognitive disorder (Xiong et al., 2018) and diabetes (Zhao et al., 2018). We now show that there may be a similar phenomenon in the mIA model of schizophrenia.

As we previously observed altered microglial homeostasis and activation states (Hui et al., 2018), we investigated whether synaptic density changed after mIA. Imbalances in excitatory and inhibitory synaptic activities, notably in the hippocampus, are recognized as pathophysiological mechanisms in schizophrenia (Harrison et al., 2003; Coyle et al., 2012; Nakazawa et al., 2012; Tamminga et al., 2012; Li et al., 2015; Roberts et al., 2015; Matosin et al., 2016). In our data, for male offspring, we observed increased levels of mature inhibitory and excitatory synapses in the hippocampal DG, specifically the PL, following mIA. Furthermore, we saw an increase in only mIPSCs (amplitude and frequency) but not mEPSCs in DG GCs of male offspring. Therefore, it appears that despite potential increases in both mature inhibitory and excitatory synapses density in the PL, there is a net increase in functional inhibitory drive onto DG GCs in males. It is also possible that changes in excitatory synapses in the PL represent increased excitation of mossy cells or GABAergic interneurons that inhibit GCs (Scharfman, 2016). In addition, these data indicate that the perforant path, which is the major excitatory input to GCs (Witter, 2007; Treves et al., 2008), remains functionally unaltered in male offspring. Whereas in female animals, we observed no change in mature inhibitory synapses in the PL following mIA, but a potential reduction in mature glutamatergic synapses. There was also a concomitant increase in the amplitude of both mIPSCs and mEPSCs, and a decrease in mEPSC frequency. We cannot exclude a loss in functional excitatory synapses followed by a compensatory increase in the neurotransmitter content per quanta or in the density of the post-synaptic glutamate receptors (Pinheiro and Mulle, 2008) in female offspring. Future work is required to delineate specific changes with regards to pre- and post-synaptic site and specific inputs; as well as whether these effects are due to differences in microglial phagocytic activity. Additionally, as both excitatory and inhibitory currents on DG GCs are increased in females (perhaps compensatory evening out the output of these cells), but only inhibitory drive onto GCs is increased in males, this may contribute to sex differences in behavior observed following mIA (i.e., the prepulse inhibition deficits observed only in males) (Hui et al., 2018).

Our data reveals sex-dependent and -independent changes in the complement system and DG synapses following mIA. Despite some changes as a result of mIA, differences in other parameters may lead to sexual dimorphisms in structural and behavioral outcomes. For example, in males, changes in C1q but not CD68 could indicate less microglia-mediated synapse elimination, as there are perhaps increased synapse number in the PL and increased inhibitory input onto GCs. Contrastingly, in females, there were increases in CD68 and CD11b throughout the DG, potentially contributing to the potential reduction in excitatory synapses in the PL as well a decrease in GC mEPSC frequency, perhaps indicative of activity-dependent synaptic pruning. Through understanding the mechanisms underlying these sexual dimorphisms, we hope to provide new insights into novel therapies for schizophrenia or other diseases in which mIA is an environmental risk factor.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation, to any qualified researcher.

Ethics Statement

The animal study was reviewed and approved by the Université Laval’s Animal Ethics Committees, according to the Canadian Council on Animal Care’s guidelines.

Author Contributions

CH, LS, LT, and M-ÈT designed the study. CH, XL, ÉG, LS, KB, and KS conducted the experiments. CH, HV, XL, ÉG, FM, LS, LT, and M-ÈT analyzed the data. CH, HV, LS, LT, and M-ÈT contributed to writing and editing the manuscript. CH, HV, and ÉG prepared the figures. All authors contributed to the article and approved the submitted version.

Funding

This work was supported by the NARSAD Young Investigator Grant from the Brain and Behavior Research Foundation to M-ÈT, a CIHR Foundation Scheme grant (FDN341846) to M-ÈT and LT, CIHR (Operating Grants: MOP-137072-592 and MOP-142447) and NSERC (Discovery Grant: 342292-2012-RGPIN) awards to LT, a FRQS Postdoctoral Training Award to CH and a CIHR Fellowship to HV. M-ÈT is a Canada Research Chair – Tier 2 in Neurobiology of Aging and Cognition.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We acknowledge that Université Laval stands on the unceded land of the Huron-Wendat peoples; and that the University of Victoria exists on the territory of the Lekwungen peoples and that the Songhees, Esquimalt and WSÁNEÆ peoples have relationships to this land. We are grateful to Julie-Christine Lévesque at the Bioimaging Platform of CRCHU de Québec-Université Laval for technical assistance, Nathalie Vernoux for guidance with the experiments and Dimitry Topolnik for electrophysiological equipment maintenance.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fncel.2020.558181/full#supplementary-material

Abbreviations

ACSF, artificial cerebrospinal fluid; C, complement; CD, cluster of differentiation; CR3, complement receptor 3; DAPI, 4′,6-diamidino-2-phenylindole; DG, dentate gyrus; E, embryonic; GABA, gamma aminobutyric acid; GC, granule cells; GFAP, glial fibrillary acidic protein; GL, granule cell layer; IBA, ionized calcium binding adaptor molecule; i.p., intraperitoneal; MAP, microtubule-associated protein; mEPSC, miniature excitatory post-synaptic currents; mIA, maternal immune activation; mIPSC, miniature inhibitory post-synaptic currents; P, postnatal; PBS, phosphate buffered saline; PFA, paraformaldehyde; PL, polymorphic layer; poly I:C, polyinosinic:polycytidylic acid; ROI, region of interest; RT, room temperature; S, supplementary; SEM, standard error of the mean; TBS, tris buffered saline; TEM, transmission electron microscope; VGAT, vesicular GABA transporter; VGLUT, vesicular glutamate transporter; 3-NT, 3-nitrotyrosine.

References

Audoy-Rémus, J., Bozoyan, L., Dumas, A., Filali, M., Lecours, C., Lacroix, S., et al. (2015). GPR84 deficiency reduces microgliosis, but accelerates dendritic degeneration and cognitive decline in a mouse model of Alzheimer’s disease. Brain Behav. Immun. 46, 112–120. doi: 10.1016/j.bbi.2015.01.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Bisht, K., Sharma, K. P., Lecours, C., Sánchez, M. G., El Hajj, H., Milior, G., et al. (2016). Dark microglia: a new phenotype predominantly associated with pathological states. Glia 64, 826–839. doi: 10.1002/glia.22966

PubMed Abstract | CrossRef Full Text | Google Scholar

Bordeleau, M., Carrier, M., Luheshi, G. N., and Tremblay, M. -È. (2019). Microglia along sex lines: from brain colonization, maturation and function, to implication in neurodevelopmental disorders. Semin. Cell Dev. Biol. 94, 152–163. doi: 10.1016/j.semcdb.2019.06.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Cherry, J. D., Olschowka, J. A., and O’Banion, M. K. (2014). Neuroinflammation and M2 microglia: the good, the bad, and the inflamed. J. Neuroinflammation 11:98. doi: 10.1186/1742-2094-11-98

PubMed Abstract | CrossRef Full Text | Google Scholar

Coyle, J. T., Basu, A., Benneyworth, M., Balu, D., and Konopaske, G. (2012). Glutamatergic synaptic dysregulation in schizophrenia: therapeutic implications. Handb. Exp. Pharmacol. 213, 267–295. doi: 10.1007/978-3-642-25758-2_10

CrossRef Full Text | Google Scholar

David, L. S., and Topolnik, L. (2017). Target-specific alterations in the VIP inhibitory drive to hippocampal GABAergic cells after status epilepticus. Exp. Neurol. 292, 102–112. doi: 10.1016/j.expneurol.2017.03.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Druart, M., and Le Magueresse, C. (2019). Emerging roles of complement in psychiatric disorders. Front. Psychiatry 10:573. doi: 10.3389/fpsyt.2019.00573

PubMed Abstract | CrossRef Full Text | Google Scholar

Feinberg, I. (1982). Schizophrenia: caused by a fault in programmed synaptic elimination during adolescence? J. Psychiatr. Res. 17, 319–334. doi: 10.1016/0022-3956(82)90038-3

CrossRef Full Text | Google Scholar

Fu, H., Liu, B., Frost, J. L., Hong, S., Jin, M., Ostaszewski, B., et al. (2012). Complement component C3 and complement receptor type 3 contribute to the phagocytosis and clearance of fibrillar Aβ by microglia. Glia 60, 993–1003. doi: 10.1002/glia.22331

CrossRef Full Text | Google Scholar

Gallagher, J. J., Minogue, A. M., and Lynch, M. A. (2013). Impaired performance of female APP/PS1 mice in the Morris water maze is coupled with increased Aβ accumulation and microglial activation. Neurodegener. Dis. 11, 33–41. doi: 10.1159/000337458

PubMed Abstract | CrossRef Full Text | Google Scholar

Giovanoli, S., Weber-Stadlbauer, U., Schedlowski, M., Meyer, U., and Engler, H. (2016). Prenatal immune activation causes hippocampal synaptic deficits in the absence of overt microglia anomalies. Brain Behav. Immun. 55, 25–38. doi: 10.1016/j.bbi.2015.09.015

PubMed Abstract | CrossRef Full Text | Google Scholar

González Ibanez, F., Picard, K., Bordelau, M., Sharma, K., Bisht, K., and Tremblay, M. -È. (2019). Immunofluorescence staining using IBA1 and TMEM119 for microglial density, morphology and peripheral myeloid cell infiltration analysis in mouse brain. J. Vis. Exp. 152:e60510. doi: 10.3791/60510

CrossRef Full Text | Google Scholar

Harrison, P. J., Law, A. J., and Eastwood, S. L. (2003). Glutamate receptors and transporters in the hippocampus in schizophrenia. Ann. N. Y. Acad. Sci. 1003, 94–101. doi: 10.1196/annals.1300.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Henry, M. S., Bisht, K., Vernoux, N., Gendron, L., Torres-Berrio, A., Drolet, G., et al. (2018). Delta opioid receptor signaling promotes resilience to stress under the repeated social defeat paradigm in mice. Front. Mol. Neurosci. 11:100. doi: 10.3389/fnmol.2018.00100

PubMed Abstract | CrossRef Full Text | Google Scholar

Heurich, B., El Idrissi, N. B., Donev, R. M., Petri, S., Claus, P., Neal, J., et al. (2011). Complement upregulation and activation on motor neurons and neuromuscular junction in the SOD1 G93A mouse model of familial amyotrophic lateral sclerosis. J. Neuroimmunol. 235, 104–109. doi: 10.1016/j.jneuroim.2011.03.011

CrossRef Full Text | Google Scholar

Hui, C. W., St-Pierre, A., El Hajj, H., Remy, Y., Hébert, S. S., Luheshi, G. N., et al. (2018). Prenatal immune challenge in mice leads to partly sex-dependent behavioral, microglial, and molecular abnormalities associated with schizophrenia. Front. Mol. Neurosci. 11:13. doi: 10.3389/fnmol.2018.00013

PubMed Abstract | CrossRef Full Text | Google Scholar

Juckel, G., Manitz, M. P., Brüne, M., Friebe, A., Heneka, M. T., and Wolf, R. J. (2011). Microglial activation in a neuroinflammational animal model of schizophrenia–a pilot study. Schizophr. Res. 131, 96–100. doi: 10.1016/j.schres.2011.06.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Kettenmann, H., Hanisch, U.-K., Noda, M., and Verkhratsky, A. (2011). Physiology of microglia. Physiol. Rev. 91, 461–553. doi: 10.1152/physrev.00011.2010

PubMed Abstract | CrossRef Full Text | Google Scholar

Korzhevskii, D. E., and Kirik, O. V. (2016). Brain microglia and microglial markers. Neurosci. Behav. Physiol. 46, 284–290. doi: 10.1007/s11055-016-0231-z

CrossRef Full Text | Google Scholar

Li, W., Ghose, S., Gleason, K., Begovic, A., Perez, J., Bartko, J., et al. (2015). Synaptic proteins in the hippocampus indicative of increased neuronal activity in CA3 in schizophrenia. Am. J. Psychiatry 172, 373–382. doi: 10.1176/appi.ajp.2014.14010123

PubMed Abstract | CrossRef Full Text | Google Scholar

Lian, H., Litvinchuk, A., Chiang, A. C.-A., Aithmitti, N., Jankowsky, J. L., and Zheng, H. (2016). Astrocyte-microglia cross talk through complement activation modulates amyloid pathology in mouse models of Alzheimer’s disease. J. Neurosci. 36, 577–589. doi: 10.1523/JNEUROSCI.2117-15.2016

PubMed Abstract | CrossRef Full Text | Google Scholar

Lian, H., Yang, L., Cole, A., Sun, L., Chiang, A. C.-A., Fowler, S. W., et al. (2015). NFκB-activated astroglial release of complement C3 compromises neuronal morphology and function associated with Alzheimer’s disease. Neuron 85, 101–115. doi: 10.1016/j.neuron.2014.11.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Luchena, C., Zuazo-Ibarra, J., Alberdi, E., Matute, C., and Capetillo-Zarate, E. (2018). Contribution of neurons and glial cells to complement-mediated synapse removal during development, aging and in Alzheimer’s disease. Mediators Inflamm. 2018:2530414. doi: 10.1155/2018/2530414

PubMed Abstract | CrossRef Full Text | Google Scholar

Magdalon, J., Mansur, F., Teles, E., Silva, A. L., de Goes, V. A., Reiner, O., et al. (2020). Complement system in brain architecture and neurodevelopmental disorders. Front. Neurosci. 14:23. doi: 10.3389/fnins.2020.00023

CrossRef Full Text | Google Scholar

Matosin, N., Fernandez-Enright, F., Lum, J. S., Engel, M., Andrews, J. L., Gassen, N. C., et al. (2016). Molecular evidence of synaptic pathology in the CA1 region in schizophrenia. NPJ Schizophr. 2:16022. doi: 10.1038/npjschz.2016.22

PubMed Abstract | CrossRef Full Text | Google Scholar

Mendrek, A., and Mancini-Marïe, A. (2016). Sex/gender differences in the brain and cognition in schizophrenia. Neurosci. Biobehav. Rev. 67, 57–78. doi: 10.1016/j.neubiorev.2015.10.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Mongan, D., Ramesar, M., Föcking, M., Cannon, M., and Cotter, D. (2019). Role of inflammation in the pathogenesis of schizophrenia: a review of the evidence, proposed mechanisms and implications for treatment. Early Interv. Psychiatry 14, 385–397. doi: 10.1111/eip.12859

PubMed Abstract | CrossRef Full Text | Google Scholar

Nakazawa, K., Zsiros, V., Jiang, Z., Nakao, K., Kolata, S., Zhang, S., et al. (2012). GABAergic interneuron origin of schizophrenia pathophysiology. Neuropharmacology 62, 1574–1583. doi: 10.1016/j.neuropharm.2011.01.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Nelson, L. H., Warden, S., and Lenz, K. M. (2017). Sex differences in microglial phagocytosis in the neonatal hippocampus. Brain Behav. Immun. 64, 11–22. doi: 10.1016/j.bbi.2017.03.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Paolicelli, R. C., Bolasco, G., Pagani, F., Maggi, L., Scianni, M., Panzanelli, P., et al. (2011). Synaptic pruning by microglia is necessary for normal brain development. Science 333, 1456–1458. doi: 10.1126/science.1202529

PubMed Abstract | CrossRef Full Text | Google Scholar

Paxinos, G., and Watson, C. (1998). The Rat Brain in Stereotaxic Coordinates. Cambridge, MA: Academic Press.

Google Scholar

Pinheiro, P. S., and Mulle, C. (2008). Presynaptic glutamate receptors: physiological functions and mechanisms of action. Nat. Rev. Neurosci. 9, 423–436. doi: 10.1038/nrn2379

PubMed Abstract | CrossRef Full Text | Google Scholar

Pratt, L., Ni, L., Ponzio, N. M., and Jonakait, G. M. (2013). Maternal inflammation promotes fetal microglial activation and increased cholinergic expression in the fetal basal forebrain: role of interleukin-6. Pediatr. Res. 74, 393–401. doi: 10.1038/pr.2013.126

PubMed Abstract | CrossRef Full Text | Google Scholar

Ratnayake, U., Quinn, T. A., Castillo-Melendez, M., Dickinson, H., and Walker, D. W. (2012). Behaviour and hippocampus-specific changes in spiny mouse neonates after treatment of the mother with the viral-mimetic Poly I:C at mid-pregnancy. Brain Behav. Immun. 26, 1288–1299. doi: 10.1016/j.bbi.2012.08.011

CrossRef Full Text | Google Scholar

Roberts, R. C., Barksdale, K. A., Roche, J. K., and Lahti, A. C. (2015). Decreased synaptic and mitochondrial density in the postmortem anterior cingulate cortex in schizophrenia. Schizophr. Res. 168, 543–553. doi: 10.1016/j.schres.2015.07.016

CrossRef Full Text | Google Scholar

Schafer, D. P., Lehrman, E. K., Kautzman, A. G., Koyama, R., Mardinly, A. R., Yamasaki, R., et al. (2012). Microglia sculpt postnatal neural circuits in an activity and complement-dependent manner. Neuron 74, 691–705. doi: 10.1016/j.neuron.2012.03.026

PubMed Abstract | CrossRef Full Text | Google Scholar

Scharfman, H. E. (2016). The enigmatic mossy cell of the dentate gyrus. Nat. Rev. Neurosci. 17, 562–575. doi: 10.1038/nrn.2016.87

CrossRef Full Text | Google Scholar

Schwarz, J. M., Sholar, P. W., and Bilbo, S. D. (2012). Sex differences in microglial colonization of the developing rat brain. J. Neurochem. 120, 948–963. doi: 10.1111/j.1471-4159.2011.07630.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Sellgren, C. M., Gracias, J., Watmuff, B., Biag, J. D., Thanos, J. M., Whittredge, P. B., et al. (2019). Increased synapse elimination by microglia in schizophrenia patient-derived models of synaptic pruning. Nat. Neurosci. 22, 374–385. doi: 10.1038/s41593-018-0334-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Stevens, B., Allen, N. J., Vazquez, L. E., Howell, G. R., Christopherson, K. S., Nouri, N., et al. (2007). The classical complement cascade mediates CNS synapse elimination. Cell 131, 1164–1178. doi: 10.1016/j.cell.2007.10.036

CrossRef Full Text | Google Scholar

Tamminga, C. A., Southcott, S., Sacco, C., Wagner, A. D., and Ghose, S. (2012). Glutamate dysfunction in hippocampus: relevance of dentate gyrus and CA3 signaling. Schizophr. Bull. 38, 927–935. doi: 10.1093/schbul/sbs062

PubMed Abstract | CrossRef Full Text | Google Scholar

Tavitian, A., Song, W., and Schipper, H. M. (2019). Dentate gyrus immaturity in schizophrenia. Neuroscientist 25, 528–547. doi: 10.1177/1073858418824072

PubMed Abstract | CrossRef Full Text | Google Scholar

Tenner, A. J. (2020). Complement-mediated events in Alzheimer’s disease: mechanisms and potential therapeutic targets. J. Immunol. 204, 306–315. doi: 10.4049/jimmunol.1901068

PubMed Abstract | CrossRef Full Text | Google Scholar

Tian, L., Hui, C. W., Bisht, K., Tan, Y., Sharma, K., Chen, S., et al. (2017). Microglia under psychosocial stressors along the aging trajectory: consequences on neuronal circuits, behavior, and brain diseases. Prog. Neuropsychopharmacol. Biol. Psychiatry 79, 27–39. doi: 10.1016/j.pnpbp.2017.01.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Tremblay, M. -È., Zettel, M. L., Ison, J. R., Allen, P. D., and Majewska, A. K. (2012). Effects of aging and sensory loss on glial cells in mouse visual and auditory cortices. Glia 60, 541–558. doi: 10.1002/glia.22287

PubMed Abstract | CrossRef Full Text | Google Scholar

Treves, A., Tashiro, A., Witter, M. P., and Moser, E. I. (2008). What is the mammalian dentate gyrus good for? Neuroscience 154, 1155–1172. doi: 10.1016/j.neuroscience.2008.04.073

PubMed Abstract | CrossRef Full Text | Google Scholar

Turmaine, M., Raza, A., Mahal, A., Mangiarini, L., Bates, G. P., and Davies, S. W. (2000). Nonapoptotic neurodegeneration in a transgenic mouse model of Huntington’s disease. Proc. Natl. Acad. Sci. U.S.A. 97, 8093–8097. doi: 10.1073/pnas.110078997

PubMed Abstract | CrossRef Full Text | Google Scholar

Van den Eynde, K., Missault, S., Fransen, E., Raeymaekers, L., Willems, R., Drinkenburg, W., et al. (2014). Hypolocomotive behaviour associated with increased microglia in a prenatal immune activation model with relevance to schizophrenia. Behav. Brain Res. 258, 179–186. doi: 10.1016/j.bbr.2013.10.005

CrossRef Full Text | Google Scholar

Walker, L. M., York, J. L., Imam, S. Z., Ali, S. F., Muldrew, K. L., and Mayeux, P. R. (2001). Oxidative stress and reactive nitrogen species generation during renal ischemia. Toxicol. Sci. 63, 143–148. doi: 10.1093/toxsci/63.1.143

CrossRef Full Text | Google Scholar

Weinhard, L., Neniskyte, U., Vadisiute, A., di Bartolomei, G., Aygün, N., Riviere, L., et al. (2018). Sexual dimorphism of microglia and synapses during mouse postnatal development. Dev. Neurobiol. 78, 618–626. doi: 10.1002/dneu.22568

PubMed Abstract | CrossRef Full Text | Google Scholar

Witter, M. P. (2007). The perforant path: projections from the entorhinal cortex to the dentate gyrus. Prog. Brain Res. 163, 43–61. doi: 10.1016/s0079-6123(07)63003-9

CrossRef Full Text | Google Scholar

Xiong, C., Liu, J., Lin, D., Zhang, J., Terrando, N., and Wu, A. (2018). Complement activation contributes to perioperative neurocognitive disorders in mice. J. Neuroinflammation 15:254.

Google Scholar

Yanguas-Casás, N., Crespo-Castrillo, A., de Ceballos, M. L., Chowen, J. A., Azcoitia, I., Arevalo, M. A., et al. (2018). Sex differences in the phagocytic and migratory activity of microglia and their impairment by palmitic acid. Glia 66, 522–537. doi: 10.1002/glia.23263

PubMed Abstract | CrossRef Full Text | Google Scholar

Yuan, J. S., Reed, A., Chen, F., and Stewart, C. N. (2006). Statistical analysis of real-time PCR data. BMC Bioinformatics 7:85. doi: 10.1186/1471-2105-7-85

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, Y., Luo, C., Chen, J., Sun, Y., Pu, D., Lv, A., et al. (2018). High glucose-induced complement component 3 up-regulation via RAGE-p38MAPK-NF-κB signalling in astrocytes: in vivo and in vitro studies. J. Cell. Mol. Med. 22, 6087–6098. doi: 10.1111/jcmm.13884

CrossRef Full Text | Google Scholar

Keywords: microglia, schizophrenia, maternal immune activation, complement, dentate gyrus, phagocytosis, mice

Citation: Hui CW, Vecchiarelli HA, Gervais É, Luo X, Michaud F, Scheefhals L, Bisht K, Sharma K, Topolnik L and Tremblay M-È (2020) Sex Differences of Microglia and Synapses in the Hippocampal Dentate Gyrus of Adult Mouse Offspring Exposed to Maternal Immune Activation. Front. Cell. Neurosci. 14:558181. doi: 10.3389/fncel.2020.558181

Received: 01 May 2020; Accepted: 14 September 2020;
Published: 15 October 2020.

Edited by:

Maria Angeles Arevalo, Cajal Institute (CSIC), Spain

Reviewed by:

Dilja Krueger-Burg, University Medical Center Göttingen, Germany
Andreas Vlachos, University of Freiburg, Germany

Copyright © 2020 Hui, Vecchiarelli, Gervais, Luo, Michaud, Scheefhals, Bisht, Sharma, Topolnik and Tremblay. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Lisa Topolnik, lisa.topolnik@bcm.ulaval.ca; Marie-Ève Tremblay, evetremblay@uvic.ca

Present address: Xiao Luo, Krembil Research Institute, University Health Network, Toronto, ON, Canada; Kanchan Bisht and Kaushik Sharma, Center for Brain Immunology and Glia, University of Virginia School of Medicine, Charlottesville, VA, United States

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