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The Journal of Neuroscience logoLink to The Journal of Neuroscience
. 2019 Feb 13;39(7):1320–1331. doi: 10.1523/JNEUROSCI.1359-18.2018

Intermittent Hypoxia Disrupts Adult Neurogenesis and Synaptic Plasticity in the Dentate Gyrus

Maggie A Khuu 1,*, Chelsea M Pagan 2,3,*, Thara Nallamothu 1, Robert F Hevner 2,3,4, Rebecca D Hodge 2,5, Jan-Marino Ramirez 2,3,4, Alfredo J Garcia III 1,
PMCID: PMC6381238  PMID: 30587544

Abstract

Individuals with sleep apnea often exhibit changes in cognitive behaviors consistent with alterations in the hippocampus. It is hypothesized that adult neurogenesis in the dentate gyrus is an ongoing process that maintains normal hippocampal function in many mammalian species, including humans. However, the impact of chronic intermittent hypoxia (IH), a principal consequence of sleep apnea, on hippocampal adult neurogenesis remains unclear. Using a murine model, we examined the impact of 30 d of IH (IH30) on adult neurogenesis and synaptic plasticity in the dentate gyrus. Although IH30 did not affect paired-pulse facilitation, IH30 suppressed long-term potentiation (LTP). Immunohistochemical experiments also indicate that IH perturbs multiple aspects of adult neurogenesis. IH30 increased the number of proliferating Sox2+ neural progenitor cells in the subgranular zone yet reduced the number of doublecortin-positive neurons. Consistent with these findings, cell lineage tracing revealed that IH30 increased the proportion of radial glial cells in the subgranular zone, yet decreased the proportion of adult-born neurons in the dentate gyrus. While administration of a superoxide anion scavenger during IH did not prevent neural progenitor cell proliferation, it mitigated the IH-dependent suppression of LTP and prevented adult-born neuron loss. These data demonstrate that IH causes both reactive oxygen species-dependent and reactive oxygen species-independent effects on adult neurogenesis and synaptic plasticity in the dentate gyrus. Our findings identify cellular and neurophysiological changes in the hippocampus that may contribute to cognitive and behavioral deficits occurring in sleep apnea.

SIGNIFICANCE STATEMENT Individuals with sleep apnea experience periods of intermittent hypoxia (IH) that can negatively impact many aspects of brain function. Neurons are continually generated throughout adulthood to support hippocampal physiology and behavior. This study demonstrates that IH exposure attenuates hippocampal long-term potentiation and reduces adult neurogenesis. Antioxidant treatment mitigates these effects indicating that oxidative signaling caused by IH is a significant factor that impairs synaptic plasticity and reduces adult neurogenesis in the hippocampus.

Keywords: adult neurogenesis, hypoxia

Introduction

Increased risk of neurocognitive impairment is commonly observed in sleep apnea, a predominant form of sleep-disordered breathing that afflicts both children and adults (Malhotra and White, 2002; Young et al., 2009; Sforza and Roche, 2012; Tan et al., 2013; Leng et al., 2017; Maski et al., 2017). These impairments include learning and memory deficits (Jackson et al., 2011), difficulties in attention (Beebe and Gozal, 2002), and emotional dysregulation (Schröder and O'Hara, 2005). Although neuroimaging studies suggest that multiple brain regions are impacted by sleep apnea, the hippocampal formation is frequently identified as a site of injury in this condition (Morrell et al., 2003; Castronovo et al., 2009; Canessa et al., 2011; Torelli et al., 2011; Cha et al., 2017).

Intermittent hypoxia (IH) is a principal consequence of sleep apnea and has been implicated as a unique factor that may cause cognitive decline (Gozal et al., 2001; Polotsky et al., 2006). In rodent models, IH exposure leads to impaired spatial learning and memory, and coincides with suppressed long-term potentiation (LTP) within the CA1 region of the hippocampus. However, CA1 is only one hippocampal network that may be impacted by sleep apnea, and recent neuroimaging work suggests that this condition may alter adult neurogenesis in the dentate gyrus region of the hippocampus (Cha et al., 2017).

Adult neurogenesis uniquely supports the dentate gyrus by providing a source for cellular heterogeneity among the principal cells of this network (Schmidt-Hieber et al., 2004; Ge et al., 2007). When compared with relatively older and more mature counterparts, new adult-born granule cells are more excitable. Thus, conditions that alter hippocampal adult neurogenesis are likely to impact hippocampal neurophysiology as well (Arendt et al., 1983; Li et al., 2008; Bartesaghi et al., 2011).

Oxygenation influences adult neurogenesis (Panchision, 2009; Mazumdar et al., 2010; De Filippis and Delia, 2011; Chatzi et al., 2015). While previous investigations have reported IH-mediated changes to adult neurogenesis, these studies demonstrate opposing data in regard to the generation of adult-born neurons (Gozal et al., 2003; Pedroso et al., 2016). Specifically, Gozal et al. (2001, 2003) show that IH increased the number of newly born neurons, while data from Pedroso et al. (2016) demonstrate a reduction in a similar population. Thus, the survival and integration of adult neurons under IH remains to be resolved.

Here, we examine how IH affects both synaptic plasticity and adult neurogenesis in the dentate gyrus of mice exposed to 30 d of IH (IH30). IH30 suppressed LTP and reduced the number of adult-born granule cells generated by adult neurogenesis. IH30 also caused an increase in neural progenitor cell proliferation in the subgranular zone (SGZ). While the administration of the superoxide anion scavenger manganese(III) tetrakis(1-methyl-4-pyridyl)porphyrin (MnTMPyP) prevented both the reduction of LTP and suppression of the generation of adult-born granule cells, it did not prevent IH-dependent enhancement in cell proliferation. These findings indicate a primary role for IH-dependent reactive oxygen species (ROS) signaling in the observed phenomena, yet IH appears to also act in a manner independent of ROS to affect processes in the dentate gyrus.

Materials and Methods

Study approval.

All animal protocols were performed with the approval of the Institutional of Animal Care and Use Committee (IACUC) at Seattle Children's Research Institute or at The University of Chicago, in accordance with National Institutes of Health guidelines.

Animals.

Mice were housed in AAALAC-approved facilities with a 12 h light/dark cycle and ad libitum access to food and water. All mice were maintained on a C57BL/6 background. Nestin-CreERT2/Ai27D (Nestin-CreERT2 mice, Imayoshi et al., 2006; Ai27D mice, The Jackson Laboratory; RRID:IMSR_JAX:012567) mice were used for birth-labeling experiments.

Male and female mice [postnatal day 30 (P30) ± 5 d] were exposed to IH as previously described (Garcia et al., 2016). The IH paradigm was executed during the light cycle and lasted for 8 h/d (i.e., 80 IH cycles/d) for 10 d (IH10), 20 d (IH20), or 30 d (IH30). A single hypoxic cycle was achieved by flowing 100% N2 into the chamber for ∼60 s, which created a hypoxic environment where the nadir O2 chamber reached 4.5 ± 1.5% for 7 to 10 s and was immediately followed by an air break (∼21% O2; 300 s). In a subset of experiments, mice were treated daily with a cell-permeable superoxide anion scavenger, MnTMPyP (Enzo Life Sciences; 15 mg/kg; http://www.enzolifesciences.com/ALX-430-070/mntmpyp-.-pentachloride/) via intraperitoneal injections throughout IH exposure.

Slice preparation for electrophysiology.

Acute hippocampal slices were prepared from mice (P60 to P80) unexposed to IH (control) or mice exposed to IH10, IH20, or IH30. Tissue harvest occurred immediately following IH10 and IH20 exposure and within 5 d following the end of IH30 exposure. Mice were anesthetized with isoflurane and killed by rapid decapitation. The cerebrum was rapidly harvested and blocked, rinsed with cold artificial CSF (aCSF) and mounted for vibratome sectioning. The mounted brain tissue was submerged in aCSF (4°C; equilibrated with 95% O2, 5% CO2), and coronal corticohippocampal brain slices (450 μm thick) were prepared. Slices were immediately transferred into a holding chamber containing aCSF equilibrated with 95% O2, 5%CO2 (at 20.5 ± 1°C). Slices were allowed to recover a minimum of 1 h before transfer into recording chamber and were used up to 8 h following tissue harvest. The composition of aCSF was as follows (in mm): 118 NaCl, 30 Glucose, 25 NaHCO3, 3.0 KCl, 1.5 CaCl2, 1.0 NaH2PO4, and 1.0 MgCl2. The osmolarity of aCSF was 305–315 mOsm, and when equilibrated with 95% O2/5% CO2, the pH was 7.42 ± 2.

Extracellular recordings of the field EPSP.

The field EPSP (fEPSP) in the dentate gyrus was evoked by electrical stimulation. The stimulation electrode was positioned into the medial perforant path, and the recording electrode (<1 MΩ) was placed into the molecular layer (ML) of the dentate gyrus. The intensity of the electrical current (100–400 μA; 0.1–0.4 ms duration) was set to the minimum amount of current required to generate the half-maximal fEPSP [i.e., ∼50% of the maximal initial slope (mi) of the fEPSP]. To block potential influence by GABAergic transmission, picrotoxin (25 μm) was added to the bath at 10 min before recordings.

To examine paired-pulse facilitation, the fEPSP was evoked every 20 s with interpulse intervals of ranging from 20 to 500 ms. Paired-pulse facilitation was measured before and following tetanic stimulation. The paired-pulse ratio (PPR) at each interpulse interval was calculated according to the following equation:

graphic file with name zns00719-1413-m01.jpg

where m2 is the mi evoked by the second stimulus pulse, and m1 is the mi evoked by the first stimulus pulse.

To examine LTP, the half-maximal fEPSP was evoked every 20 s. After 10 min of recording the baseline fEPSP, LTP was induced using high-frequency stimulation (HFS). HFS consisted of four 500 ms trains of stimuli (200 Hz) given at 30 s intervals. Following the HFS, the fEPSP the recording continued for up to an hour. The fEPSP slope was averaged in 2 min windows and normalized to baseline values. All recordings were made using the Multiclamp 700B Amplifier (Molecular Devices: https://www.moleculardevices.com/systems/conventional-patch-clamp/multiclamp-700b-microelectrode-amplifier). Acquisition and post hoc analyses were performed using the Axon pCLAMP10 software suite (Molecular Devices; https://www.moleculardevices.com/systems/axon-conventional-patch-clamp/pclamp-11-software-suite).

Tissue processing and histological analyses.

Following IH30 or normoxia exposure, mice were anesthetized with isoflurane and transcardially perfused with saline and 40 ml of 4% paraformaldehyde according to IACUC-approved protocols. Brains were dissected and postfixed in 4% paraformaldehyde overnight. Dissected brains were then cryoprotected in 30% sucrose for a minimum of 2 d until equilibrated and frozen in blocks of optimum cutting temperature (OCT) medium by supercooled ethanol. Blocks containing a single hemisphere from each animal were coronally sectioned at a thickness of 40 μm on a Leica cryostat, and stored in a cryoprotectant solution of primarily glycerol at −20°C until time of use. Every 12th section was sampled, ensuring each animal in the study had at least three usable sections through the septal region of the dentate gyrus that contained both the suprapyramidal and infrapyramidal blades. Immunohistochemistry was performed on floating sections using fluorescent dye-conjugated secondary antibodies, as previously described (Hodge et al., 2008, 2012). All protocols included an overnight, ∼18 h, exposure to the primary antibodies used and a 2 h exposure to fluorescently conjugated secondary antibodies. The primary antibodies used in the present study were rabbit anti-synaptoporin (1:500; catalog #102002, Synaptic Systems; RRID:AB_887841), rabbit anti-Ki67 (1:100; catalog #VP-RM04, Vector Laboratories; RRID:AB_2336545), goat anti-Sox2 (1:250; catalog #sc17320, Santa Cruz Biotechnology; RRID:AB_2286684), goat anti-DCX (1:400; catalog #sc8066, Santa Cruz Biotechnology; RRID:AB_2088494), rabbit anti-RFP (1:500; catalog #600-401-379, Rockland; RRID:AB_2209751), and mouse anti-GFAP (1:20,000; catalog #MAB360, Millipore; RRID:AB_2109815). The antigen Sox2 required additional retrieval using 0.1% citrate buffer solution before exposure to the goat anti-Sox2 primary antibody (Hodge et al., 2012).

Hippocampal volume calculations.

Single-plane images of all sections containing usable dentate gyrus (defined above) were captured at low magnification [10×, 0.8 numerical aperture (NA) air objective] on a Zeiss LSM 710 confocal microscope using Zen software. Low-magnification images of DAPI (catalog #D9542, Sigma-Aldrich; https://www.sigmaaldrich.com/catalog/product/sigma/d9542?lang=en&region=US) and synaptoporin, a synaptic vesicle protein enriched in the axons of dentate gyrus neurons, were used to quantify the volumes of hippocampal subregions. The granule cell layer (GCL) was determined by the area stained by DAPI, the hilus was defined as the area between the suprapyramidal and infrapyramidal blades of the dentate gyrus labeled by DAPI, and the mossy fiber tract was defined by the entire area stained with synaptoporin. All regions of interest were measured using Zen software (ZEN Digital Imaging for Light Microscopy; RRID:SCR_013672). Volumes (V) were estimated using Cavalieri's principle, V = Σ A *i *d, taking the sum of aforementioned areas (A) multiplied by the interval (i) and the distance (d) between sections sampled (Rosen and Harry, 1990; Prakash et al., 1994; van Praag et al., 1999; Chatzi et al., 2015).

Immunohistochemistry quantitation.

Z-stack images were obtained for all other immunohistochemical stains within the entire section of the dentate gyrus using a 40×, 1.3 NA oil objective on a Zeiss LSM 710 confocal microscope with Zen software, and were quantified using ImageJ software (RRID:SCR_003070). Multiple images were required to capture the complete dentate gyrus within each usable section. The entire region of interest of the section, across multiple images, was counted. Cells intersecting the top plane of each image were excluded. Cells per dentate gyrus were estimated using Cavalieri's principal: raw counts for all imaged sections were multiplied by the interval (i) and the distance (d) between sections sampled. For counts of doublecortin-positive (DCX+) cells, immature neurons were defined as having a cell body located in the SGZ and a radial process extending through the GCL. Examples of included and excluded cells are shown in Figure 5A. For counts of proliferating cells and of neural progenitor cells, Ki67+ and Sox2+ counts were conducted in the SGZ, GCL, hilus, and ML regions within the dentate gyrus. The SGZ region of interest was defined as previously described in the study by Miller et al., 2013), which consisted of a two- to three-cell-thick layer between the GCL and hilus. The GCL was determined using DAPI staining, the hilus was defined as the area between the two dentate blades, excluding the overlap from the SGZ region of interest, and the molecular layer was defined as the area up to 100 μm from the dentate blade.

Figure 5.

Figure 5.

IH30 decreases the number of newly born neurons. A, Representative image of DCX+-labeled cells (gray) at low and high magnification. The yellow arrow shows a DCX+ immature neuron that was included in the analysis based on morphology. The red arrowhead points to a DCX+-labeled cell without a process extending into the GCL. Scale bars, 100 μm. B, Representative images of DCX+ labeling in control (top) and IH30 (bottom) animals. Blue channel depicts DAPI-labeled nuclei on left, gray channel depicts DCX+ labeling in middle, and a merge is on the right. Scale bars, 100 μm. C, IH30 reduced the number of DCX+ cells with neuronal morphology exhibiting clear dendritic projections from the dentate gyrus to the molecular layer (control, n = 5; IH30, n = 5; t(7.744) = 2.368, p = 0.046). *p < 0.05.

Pulse labeling experiments were performed using Nestin-CreERT2/Ai27D mice to explicitly label a discrete cohort of neural progenitor cells. The expression of the Ai27D reporter [i.e., td-tomato, a red fluorescent protein (RFP), fused with membrane-bound channelrhodopsin2] was induced in Nestin-expressing cells using 180 mg/kg tamoxifen (catalog #54965-24-1, Thermo Fisher Scientific; https://www.fishersci.com/shop/products/tamoxifen-citrate-98-acros-organics-2/p-194883; dissolved in corn oil, intraperitoneal injection). Mice (between P29 and P34) received two consecutive intraperitoneal injections of tamoxifen separated by 18 h intervals before exposure to IH. Tissue was harvested for immunohistochemical study 30–31 d following the final day of tamoxifen administration. Immunostaining for RFP was used to identify cells positive for the td-tomato reporter molecule. Triple immunostaining for RFP along with glial fibrillary acid protein (GFAP) and DCX were used in combination with morphological assessment to divide birth-labeled cells into major categories: (1) RFP+ neural progenitor cells; (2) GFAP+/RFP+ astrocytes; and (3) RFP+ neurons. Based on colabeling patterns, RFP+ neural progenitor cells of the SGZ were further subdivided into the following: (1) GFAP+/RFP+ progenitor cells with radial glial morphology; (2) RFP+-only neural progenitor cells; and (3) RFP+/DCX+ neural progenitor cells. GFAP+/RFP+ progenitor cells were distinguished from GFAP+/RFP+ astrocytes based on morphology. RFP+-only neural progenitor cells were located in the SGZ, neither exhibited clear radial processes nor colabeled with either GFAP or DCX. RFP+-only neural progenitor cells presumably represented the pool of birth-labeled nonradial progenitors (i.e., T-box brain protein 2-positive cells) transitioning from the radial glial state but not yet expressing the DCX+ phenotype of late-stage progenitor cells. In addition to colabeling, RFP+/DCX+ neural progenitor cells were identified as having no projections into the GCL. RFP+ neurons were morphologically identified as having clear dendritic projections into the GCL. Some, but not all, RFP+ neurons also expressed DCX.

Sholl analysis was conducted on fully visible neurons selected from each experimental group and imaged at high magnification (100×, 1.46 NA oil objective) on a Zeiss LSM confocal microscope. Images were compressed into a maximum intensity projection in ImageJ (NIH; Schindelin et al., 2012; Schneider et al., 2012). Using the Simple Neurite Tracer ImageJ plugin, dendritic paths of individual neurons were traced and analyzed with the Sholl analysis plugin (available in FIJI; RRID:SCR_002285; Schindelin et al., 2012). Concentric circles were drawn around the cell body in 10 μm increments, and the number of neurite intersections with each circle was calculated. Intersections were plotted as a linear function of radius to serve as a measure for neurite complexity. Analysis was limited to birth-labeled neurons having at least one dendrite with a 120 μm length from the soma.

Experimental design and statistical analyses.

All n values are the total number of animals, unless otherwise noted. Statistics were performed using Prism 6 (GraphPad Software; RRID:SCR_015807). Comparisons between two groups were conducted using unpaired two-tailed t tests with Welch's correction. Comparisons between multiple groups were conducted using a one-way ANOVA with a post hoc Dunnett's test. The equality of variances between two groups was determined with an F test. Sholl analysis was completed using a two-way ANOVA of means. Data are presented as individual data points overlaid on the mean ± SEM. Significance was defined as *p < 0.05. Analyses that were not statistically significant were defined as “n.s.”

Results

Duration-dependent and targeted influence of IH on synaptic plasticity in the dentate gyrus

We sought to compare how LTP in the dentate gyrus was affected following IH10, IH20, and IH30. During baseline conditions, there was very little fluctuation in the evoked fEPSP in all groups suggesting that submaximal basal synaptic transmission was similar among control and the IH groups before HFS (Fig. 1A; control: n = 9 slices, 7 animals; IH10: n = 4 slices, 2 animals; IH20: n = 8 slices, 3 animals; IH30: n = 10 slices, 7 animals). LTP was induced by HFS in slices from control (i.e., 0 d IH) and IH10 groups but was suppressed in slices following IH20 and IH30 (Fig. 1A). Immediately following HFS, the fEPSP was potentiated in control and IH10 groups, yet suppressed in both the IH20 and IH30 groups (Fig. 1B). While potentiation of the fEPSP continued for up to 60 min post-HFS induction in the control and IH10 groups, no potentiation was evident in the majority of slices from IH20 and IH30 (Fig. 1C). In a subset of experiments, we used a larger stimulus current in an attempt to induce LTP in slices following IH30 yet was unsuccessful in inducing LTP (Fig. 1B,C, white triangles; n = 4 slices, 3 animals). To further determine whether suppressed LTP coincided with changes in presynaptic release probability, we compared the paired-pulse profiles of the fEPSP in slices from the control and IH30 groups across a range of interpulse intervals (Fig. 2A). PPRs were similar between groups at all interpulse intervals examined, suggesting that the presynaptic medial perforant pathway was unaffected by IH30 (Fig. 2B). Additionally, no differences in the PPR were observed before and following tetanic stimulation (Fig. 2C; control: n = 6 slices, 3 animals; IH30: n = 8 slices, 3 animals). These findings indicate that IH-mediated changes to synaptic plasticity not only are duration dependent, but also target postsynaptic plasticity without significant changes to presynaptic release probability before and following HFS. IH has been reported to cause apoptotic activity throughout the hippocampal formation (Yuan et al., 2015), which could affect LTP and grossly impact anatomical structures within the dentate gyrus. Therefore, we compared general anatomical structures in the dentate gyrus and surrounding regions between control and IH30 groups for histological evidence of anatomical differences between control and IH30 groups. The volume of DAPI staining in the granule cell layer was similar between groups, suggesting that IH30 did not cause gross changes in volumes of the GCL or hilus (Table 1). Similarly, no differences were observed in the volume of the hilus or synaptoporin staining volume in the mossy fiber tract between groups (Table 1).

Figure 1.

Figure 1.

Prolonged IH exposure attenuates LTP within the dentate gyrus. A, LTP of the fEPSP following HFS in control (blue circles; n = 9 slices, 7 animals), IH10 (yellow triangles; n = 4 slices, 2 animals), IH20 (magenta diamonds; n = 8 slices, 3 animals), and IH30 (red squares; n = 10 slices, 7 animals) illustrate differences in potentiation following HFS. Representative traces of evoked fEPSPs are shown above the graph with baseline (black trace) and post-HFS induction indicated (color traces: control, blue; IH10, yellow; IH20, magenta; IH30, red). Arrows at the bottom indicate the time sampled for B and C. Calibration: 0.2 mV, 10 ms. B, Immediately following HFS, a difference among groups was observed (F(3,27) = 6.667, p = 0.0016). A post hoc Dunnett's test revealed no difference immediately following HFS between control and IH10 groups, yet did in both IH20 and IH30 groups in the fEPSP slope when compared with control. C, Sixty minutes post-HFS, a difference among groups was detected (F(3,27) = 9.529, p = 0.0002). Post hoc Dunnett's test revealed that, while no difference was present between the control and IH10 groups, the fEPSP in both the IH20 and IH30 groups was reduced compared with control group. In a subset of experiments (n = 4 slices, 3 animals), applying to a larger stimulation current during HFS did not to evoke LTP in the IH30 group (B and C, white triangles). *p < 0.05.

Figure 2.

Figure 2.

Prolonged IH exposure does not influence paired-pulse facilitation (PPF). A, Representative traces of evoked fEPSPs during PPF are shown. Calibration: 0.2 mV, 10 ms. B, PPF of the fEPSP was similar between control (blue circles, n = 6 slices; 4 animals) and IH30 (red squares, n = 6 slices, 5 animals) at all six interpulse intervals (IPIs) tested: 40 ms IPI (IPI 40), t(9.990) = 0.904, p = 0.386; IPI 80, t(9.890) = 0.813, p = 0.4352; IPI 200, t(9.963) = 1.169, p = 0.269; IPI 300, t(9.79) = 0.406, p = 0.693; IPI 400, t(8.512) = 0.515, p = 0.619; IPI 500, t(9.997) = 0.556, p = 0.591. C, PPF at IPI 50 was similar before and following high-frequency stimulation for control (blue, n = 6 slices, 3 animals; t(5) = 0.8110, p = 0.4542) and IH30 (red, n = 8 slices, 3 animals; t(7) = 1.777, p = 0.1188). Black-filled symbols represent mean for each group.

Table 1.

IH30 does not affect the volume of hippocampal subregions

Region Control group (mm3) IH30 group (mm3) t value p value
Granule cell layer 0.171 ± 0.022 0.189 ± 0.008 t(3.921) = 0.765 0.488
Hilus 0.212 ± 0.031 0.331 ± 0.104 t(5.854) = 1.090 0.318
Mossy fiber tract 0.279 ± 0.036 0.324 ± 0.020 t(4.884) = 1.093 0.325

Volumes for three distinct regions [(1) granule cell layer, (2) hilus, and (3) mossy fiber tract] were sampled and were shown to not be significantly different between the control and IH30 groups. All values are given as the mean volume ± SEM (in mm3; Control: n = 4, IH30: n = 6).

IH30 differentially impacts neural progenitor cell number and new neuron generation in the hippocampus

Hippocampal synaptic plasticity is influenced by changes in adult neurogenesis (Snyder et al., 2001; Bruel-Jungerman et al., 2005; Tashiro et al., 2007; Gu et al., 2012b; Park et al., 2015), and our macroscopic observations could not discount the possibility that IH30 perturbed this process. We examined the Sox2-positive (Sox2+) neural progenitor cell population throughout the SGZ to assess how the early stages of neurogenesis are affected by IH30. Neural cells of the SGZ were identified by Sox2+ labeling (Fig. 3A; control, n = 10; IH30, n = 7). IH30 appeared to increase the Sox2+ neural progenitor cells (Fig. 3B). Relative to control, there was a 30% increase following IH30 (Fig. 3C).

Figure 3.

Figure 3.

IH30 increases the number of neural progenitor cells. A, Representative section of dentate gyrus stained for Sox2 (green) and DAPI (blue). SGZ is shown outlined by yellow dotted lines. Scale bar, 100 μm. B, Representative images of Sox2+ labeling in control (top) and IH30 (bottom) animals. SGZ is outlined in yellow. Blue channel depicts DAPI-labeled nuclei on left. Green channel depicts Sox2+ labeling in middle, and a merge is on the right. Scale bars, 100 μm. C, The number of Sox2+ cells in the SGZ increases following IH30 (control, n = 10; IH30, n = 7; t(14.24) = 2.327, p = 0.035). *p < 0.05.

We sought to determine whether the increased Sox2+ population in the SGZ reflected an increase in proliferation by coimmunolabeling Sox2 and the mitotic marker Ki67 (Fig. 4A; n = 4 animals/group). Sox2+/Ki67+ cells in the SGZ increased following IH30 when compared with control (Fig. 4B). Under control conditions, 6.1 ± 0.7% of the Sox2+ population was colabeled with Ki67+; whereas following IH30, 9.2 ± 0.2% of the Sox2+ population colabeled with Ki67+. This represented an approximate 50% increase in the Sox2+/Ki67+ population following IH30 (Fig. 4C). Since Sox2 is also expressed in non-neural progenitor cells (e.g., glia) outside of the SGZ (Komitova and Eriksson, 2004; Brazel et al., 2005), we tested whether IH30 stimulated the proliferation of SOX2+ cells outside the SGZ. Similar to the SGZ, SOX2+/KI67+ colabeling in the hilus was increased following IH30, increasing the percentage of proliferating cells from <0.96 ± 0.96% in the control group to 1.20 ± 0.20% in the IH30 group (Fig. 4D). In contrast to the SGZ and hilus, no colabeling differences were observed between groups for the GCL (Fig. 4E) and the ML (Fig. 4F). These data indicate that IH30 causes regional-specific increases in SOX2+ cell proliferation within the SGZ and hilus.

Figure 4.

Figure 4.

IH30 stimulates region-specific SOX2+ cell proliferation in the dentate gyrus. A, Representative section of dentate gyrus stained for Sox2 (green), Ki67 (red), and DAPI (blue). SGZ is outlined by yellow dotted lines. Counts were performed in the ML, GCL, SGZ, and hilus. The yellow arrow indicates a Ki67+/Sox2+ double-positive cell residing within the SGZ. Scale bar, 100 μm. B, Representative images of Ki67 and Sox2+ labeling in control (top) and IH30 (bottom) animals. SGZ is outlined in yellow. Blue channel depicts DAPI-labeled nuclei on left, red channel depicts Ki67+ labeling second from left, green channel depicts Sox2+ labeling second from right, and a merge is on the right. Scale bars, 100 μm. C–F, Quantified proportions of double-labeled Sox2+/Ki67+ cells (control, n = 4; IH30, n = 4) in the SGZ (t(5.993) = 2.747, p = 0.034), hilus (t(4.415) = 4.775, p = 0.0069), GCL (t(3.580) = 2.414, p = 0.0808), and ML (t(5.89) = 0.4592, p = 0.6625). *p < 0.05.

To assess how IH influences the latter stages of adult neurogenesis, we examined how IH30 affected the number of immature neurons as indicated by positive doublecortin labeling (i.e., DCX+) with dendritic projections into the GCL, under IH30 or control conditions (Fig. 5A; control: n = 5; IH30: n = 5). DCX+ neural progenitor cells, which lack dendritic projections, were not included in this analysis. DCX+-labeled immature neurons decreased following IH30 (Fig. 5B). Following IH30, the number of DCX+ immature neurons was reduced by 30.4% when compared with control (Fig. 5C). These results suggest that IH causes a defect in the maturation from neural progenitor cell to neuron.

IH30-dependent changes to the neural progenitor cell fate in the SGZ were assessed through birth-labeling experiments (Fig. 6A; control group, n = 9; IH30 group, n = 11). Consistent with our observations with SOX2+ cells in the SGZ, IH30 increased in the percentage of GFAP+/RFP+ cells with radial glial morphology when compared with control (Fig. 6B; control, 11.11 ± 2.43%; IH30, 24.48 ± 4.45%). However, the percentage of RFP+-only progenitor cells (Fig. 6C) and DCX+/RFP+ progenitor cells (Fig. 6D) were not different between control and IH30. Interestingly, the proportions of GFAP+/RFP+ astrocytes (Fig. 6E) were also unchanged by IH30. However, IH30 reduced the percentage of RFP+ neurons when compared with controls (Fig. 6F), yet Sholl analysis of a subset of neurons from control and IH30 groups revealed no differences in the complexity of the dendritic trees of birth-labeled granule neurons (Fig. 6G; control group, n = 7 neurons; IH30 group, n = 10 neurons).

Figure 6.

Figure 6.

IH30 exposure alters neural progenitor cell fate within the dentate gyrus. A, Representative images of tissue stained for birth-labeled RFP+ cells (red), GFAP (green), DCX (gray), and DAPI (blue) from control (left) and IH30-exposed (right) mice. Scale bars, 100 μm. BF, The proportion of: RFP+/GFAP+-colabeled cells with radial glial morphology were significantly different between groups (control, n = 9; IH30, n = 11; t(15.16) = 2.635, p = 0.0186; B); RFP+ neural progenitor cells in the SGZ were unchanged between groups (control, n = 8; IH30, n = 11; t(12.60) = 0.4915, p = 0.6315; C); RFP+/DCX+-colabeled progenitor cells were unchanged between groups (control, n = 8; IH30, n = 11; t(17.13) = 0.7422, p = 0.4680; D); RFP+/GFAP+-colabeled cells with astrocytic morphology were not significantly different between the two groups (control, n = 8; IH30, n = 11; t(14.68) = 1.267, p = 0.2250; E); RFP+ cells that exhibit neuronal morphology were reduced in IH30 mice (control, n = 8; IH30, n = 11; t(13.97) = 2.730, p = 0.0163; F). Scale bars: B–F, 50 μm. G, Sholl analysis revealed that there were no significant changes in morphology as characterized by the number of intersections in dendritic arborization (control, n = 7; IH30, n = 10; F(30,320) = 0.750, p = 0.828). Representative images of neurons from control (top) and IH30 (bottom) used for analysis on left. Scale bars: 50 μm. *p < 0.05.

MnTMPyP treatment mitigates the suppressive effects of IH30 on adult neurogenesis and synaptic plasticity

Increasing evidence suggests that IH causes an increase in ROS signaling throughout the nervous system that can be mitigated by antioxidant treatment (Row et al., 2003; Ramanathan et al., 2005; Garcia et al., 2013; Snyder et al., 2017). Therefore, to determine the involvement of ROS, the superoxide anion scavenger MnTMPyP was administered to subjects during IH30 (IHMnTMPyP), and to control subjects for 30 d (controlMnTMPyP). We examined the proportion of proliferating Sox2+ cells throughout the dentate gyrus (Fig. 7A; control, n = 5; IH30, n = 6). Following IHMnTMPyP, the percentage of Ki67+/Sox2+-colabeled cells in the SGZ was elevated by 46.84% (Fig. 7B) when compared with controlMnTMPyP. However, in the hilus (Fig. 7C), GCL (Fig. 7D), and ML (Fig. 7E) the proportion of Ki67+/Sox2+-colabeled cells were not different between controlMnTMPyP and IHMnTMPyP groups. These findings suggest that IH stimulates Sox2+ cell proliferation in the hilus through an ROS-dependent process, yet in the SGZ proliferation of Sox2+ cells by IH30 was an ROS-independent phenomenon.

Figure 7.

Figure 7.

MnTMPyP administration reveals that neural progenitor cell proliferation is ROS independent. A, Representative images of Ki67 and Sox2+ labeling in controlMnTMPyP (top) and IHMnTMPyP (bottom) animals are shown. Blue channel depicts DAPI-labeled nuclei on left, red channel depicts Ki67+ labeling second from left, green channel depicts Sox2+ labeling second from right, and a merge is on the right. Scale bars, 100 μm. B–E, The proportion of Ki67+/Sox2+-colabeled cells (controlMnTMPyP, n = 5; IHMnTMPyP, n = 6) was increased following IHMnTMPyP in the SGZ (t(6.773) = 3.390, p = 0.0122; B), yet no differences were observed in the hilus (t(8.869) = 1.293, p = 0.2287; C), GCL (t(5.953) = 0.0863, p = 0.9340; D), and ML (t(8.532) = 0.6589, p = 0.5273; E). *p < 0.05.

The DCX+ immature neuronal population was no longer suppressed following IHMnTMPyP when compared with controlMnTMPyP (Fig. 8B; n = 6 vs n = 4, respectively). Similarly, no changes were observed in the ratio of birth-labeled granule neurons between IHMnTMPYP and controlMnTMPyP (Fig. 8D; n = 5 vs n = 6, respectively). Thus, these findings indicate that ROS signaling contributes to the reduction in DCX+ immature neurons and reduced generation of adult-born neurons caused by IH30. We further tested the efficacy of MnTMPyP to prevent the IH-dependent suppression of LTP. In the IHMnTMPyP group, tetanic stimulation was able to evoke LTP in the dentate gyrus (Fig. 9A) and lasted up to 60 min post-HFS (Fig. 9B; n = 6). These data indicate that the generation of ROS under IH30 contributes to deficiencies in synaptic plasticity.

Figure 8.

Figure 8.

MnTMPyP administration reveals that neuron development is ROS dependent. A, Representative images of DCX+ labeling in controlMnTMPyP (top) and IHMnTMPyP (bottom) animals are shown. Blue channel depicts DAPI-labeled nuclei on left, gray channel depicts DCX+ labeling in middle, and a merge is on the right. Scale bars, 100 μm. B, Immature granule neurons labeled with DCX+ showed no significant difference between IHMnTMPyP and controlMnTMPyP groups (controlMnTMPyP, n = 4; IHMnTMPyP, n = 6; t(7.708) = 2.144, p = 0.066). C, Representative images of RFP+ labeling in controlMnTMPyP (top) and IHMnTMPyP (bottom) animals. Blue channel depicts DAPI-labeled nuclei on left, red channel depicts RFP+ labeling in middle, and a merge is on the right. Scale bars, 100 μm. D, The percentages of RFP+ neurons were not different between IHMnTMPyP and controlMnTMPyP groups (controlMnTMPyP, n = 6; IHMnTMPyP, n = 6; t(7.361) = 0.402, p = 0.699).

Figure 9.

Figure 9.

MnTMPyP administration reveals that LTP is a ROS-dependent process. A, LTP of the fEPSP following HFS showed that synaptic plasticity was maintained in IHMnTMPyP-treated animals. The dashed blue line represents the mean from the control LTP experiments. Representative evoked EPSP traces illustrate pre-HFS (black trace) and post-HFS (green trace) induction. Calibration: 0.2 mV, 10 ms (inset). B, At 10 and 60 min post-HFS, there is a significant increase in EPSP slope when compared with pre-HFS baseline (F(2,10) = 7.627, p = 0.009). *p < 0.05.

Discussion

Although several reports have described biochemical and neurophysiological changes occurring in the hippocampus (Row et al., 2003; Kumar et al., 2009; Xie et al., 2010; Wall et al., 2014; Yagishita et al., 2017), the impact of IH on the dentate gyrus of the hippocampus has been largely been unaddressed. Here we address this issue by examining how IH affects synaptic plasticity and adult neurogenesis in the dentate gyrus. We observed the following: (1) IH suppresses LTP in a duration-dependent manner; (2) IH impacts multiple stages of hippocampal adult neurogenesis, which ultimately results in reduction in the generation of adult-born neurons; and (3) antioxidant treatment mitigates the suppression LTP and reduced neurogenesis caused by IH. The consequences of these observations are discussed further below.

Seven days of IH does not impact LTP in the dentate gyrus (Wall et al., 2014). Similarly, we observed that LTP in the dentate gyrus is unaffected by IH10. However, increasing IH exposure to 20 or 30 d led to the attenuation of LTP. Snyder et al. (2017) recently reported that IH causes oxidative stress in the entorhinal cortex, the origin of the presynaptic fibers innervating the dentate gyrus. This raised the possibility that IH20 and IH30 impaired LTP by decreasing presynaptic excitability and/or affecting presynaptic release probability. Increasing the stimulation current during HFS, to compensate for potential reduced presynaptic excitability, however, failed to evoke LTP following IH30. Additionally, we did not observe a change in paired-pulse facilitation before or following tetanic stimulation and indicated that presynaptic release probability was unaffected by IH30. Thus, while IH may impact neurons of the entorhinal cortex, our observations suggest that IH-impaired LTP is derived primarily from changes in postsynaptic plasticity.

The dentate gyrus is composed of principal neurons heterogeneous in relative age, a feature that appears to contribute to the circuit properties of this network (Snyder et al., 2001). Immature granule cells derived from adult neurogenesis (i.e., <40 d old) are more intrinsically excitable (Schmidt-Hieber et al., 2004) and receive less synaptic inhibition when compared with mature granule cells (i.e., >60 d old; Schmidt-Hieber et al., 2004; Ge et al., 2007; Gu et al., 2012a). Immature granule cells preferentially incorporate into circuits supporting spatial memory (Kee et al., 2007), and changes in the generation of immature granule cells correlate with the strength of LTP within the dentate gyrus (Park et al., 2015). Thus, alterations in adult neurogenesis would be predicted to cause significant functional remodeling of the dentate gyrus circuitry within a 3–4 week timeframe. Indeed, we observed weakened LTP following both IH20 and IH30. Decreased neurogenesis also correlated with attenuated LTP following IH30, and by mitigating the effects of IH30 on neurogenesis via antioxidant treatment, we were able to preserve LTP. These observations support the general notion that a positive relationship exists between the strength of synaptic plasticity and adult neurogenesis and that IH negatively impairs neurophysiology in the dentate by reducing the number of adult-born neurons.

We observed that MnTMPyP administration during IH protected against both the attenuation of LTP and the reduction of neurons generated by adult neurogenesis, suggesting a role for IH-dependent ROS signaling. IH-dependent oxidative stress throughout the nervous system has been demonstrated by multiple studies (Row et al., 2003; Ramanathan et al., 2005; Garcia et al., 2013), including the dentate gyrus (Snyder et al., 2017). ROS signaling is an important factor that affects the efficacy of the synaptic plasticity. While endogenous superoxide anions may stimulate LTP via PKC signaling (Klann et al., 1998), hydrogen peroxide modulates the strength of synaptic plasticity in a concentration-dependent manner (Kamsler and Segal, 2003). Hydrogen peroxide also appears to be an important factor for proliferation and neuronal differentiation of stem cells (Dickinson et al., 2011; Forsberg et al., 2013), yet oxidative stress may also trigger apoptosis in intermediate progenitors and neuroblasts of the SGZ (Chatzi et al., 2015). Thus, our findings suggest that IH-mediated effects on the dentate gyrus likely involve ROS-mediated signaling and oxidative stress to suppress LTP and adult neurogenesis.

IH-mediated oxidative stress can be generated through multiple mechanisms. IH-mediated signaling via hypoxia-inducible factor 1a has been implicated to cause oxidative stress in the hippocampus (Chou et al., 2013). Similarly, prolonged IH can lead to cytokine elevations and long-term microglial changes in the hippocampus (Sapin et al., 2015) that may cause oxidative stress. These pathways may act uniquely on adult neurogenesis but not affect synaptic plasticity or vice versa. Therefore, while it will be critical to examine the basis for IH-dependent ROS signaling in both LTP and adult neurogenesis, understanding how IH may disrupt synaptic plasticity through mechanisms unrelated to adult neurogenesis, such as changes to the electrophysiological properties of mature granule neurons, activation of glial cells, and inflammation, will be important.

In agreement with previous investigations (Gozal et al., 2003; Pedroso et al., 2016), we find that the Sox2+ neural progenitor cell population increased with IH exposure. However, while Gozal et al. (2003) concluded that IH promotes the generation of adult-born neurons, Pedroso et al. (2016) reported that IH negatively impacts the generation of adult-born neurons. We observed that IH causes a reduction in DCX+ neurons. Our approach to label a discrete population of Nestin+ neural progenitor cells also provided substantial resolution for understanding how IH affects a single cycle of neurogenesis (∼28 d) not achieved with prior studies. Consistent with the observed proliferation in Sox2+ cells, IH increased the proportion of birth-labeled RFP+/GFAP+ neural progenitor cells with radial glial morphology in the SGZ. In contrast, the proportion of granule neurons generated from the discretely labeled neural progenitor population was reduced and agreed with the observation that IH30 reduced DCX+ neurons. The ability for MnTMPyP to mitigate the impact of IH on birth-labeled neurons following IH30 further indicate that enhanced ROS signaling, presumably through oxidative stress, causes cell death in late progenitors transitioning to immature neurons or in the immature neurons themselves.

We also observed that Sox2+ cell proliferation occurred in the SGZ and hilus. The increased mitotic activity appeared to be differentially affected by antioxidant treatment during IH. Sox2+ cell proliferation in the hilus presumably represented increased glial expansion (Komitova and Eriksson, 2004; Brazel et al., 2005). Hilar expansion of SOX2+ cells was prevented by MnTMPyP; whereas, in the SGZ, IH-induced expansion of Sox2+ neural progenitor cells was unaffected by antioxidant treatment. Thus, while IH may stimulate glial proliferation via an ROS-dependent mechanism, Sox2+ neural progenitor cell proliferation appears to be ROS independent. Hypoxia itself may be one potential factor causing stimulation of neural progenitor cell proliferation. Despite the brevity of a single bout of hypoxia (<30 s at the 5% O2 nadir), the repeated hypoxic stimuli may be sufficient to promote the proliferation of the neural progenitor cell pool, as neural progenitor cells normally exist in hypoxic niches of the SGZ (Chatzi et al., 2015). Additionally, neural progenitors increase proliferation under mild hypoxic conditions (Studer et al., 2000; Santilli et al., 2010). Although we did not examine the long-term consequence of the IH-dependent expansion of the neural progenitor cell population, growing evidence suggests that the pool of neural progenitor cells in the hippocampus is finite (Kippin et al., 2005; Furutachi et al., 2013; Ottone et al., 2014). Therefore, IH-dependent expansion of the neural progenitor population may accelerate depletion of the pool, leading to reductions in the number of neurons generated by future cycles of neurogenesis, even if IH is no longer experienced.

In conclusion, our study provides key insights into the duration-dependent effects of IH on synaptic plasticity in the dentate gyrus. The impairment of synaptic plasticity was accompanied by reduced adult neurogenesis. Thus, the IH-mediated changes observed here suggest that sleep apnea may be a condition that dictates the outcome of hippocampal adult neurogenesis and synaptic plasticity. These changes may ultimately contribute to decline in neurocognitive behaviors and injury in the hippocampus when left untreated or undetected.

Footnotes

The authors declare no competing financial interests.

This work was supported by National Institutes of Health (NIH) Grants P01-HL-094374 (J.-M.R.), R01-NS-092339 (R.F.H.), and NS-085081 (R.F.H.); American Heart Association Beginning Grant-in-Aid 13BGIA1394009 (R.D.H.); and NIH Grant R01-NS-10742101 (A.J.G.). We thank A.Z. Christakis and K. Lam for assistance with immunohistochemistry.

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