Neuroglial Involvement in Abnormal Glutamate Transport in the Cochlear Nuclei of the Igf1−/− Mouse

Introduction

Gene knockout studies in mice have demonstrated that insulin-like growth factor 1 (IGF-1), a growth promoting hormone, is essential for the proper functioning of the inner ear (Magariños et al., 2012; Varela-Nieto et al., 2013; Yamahara et al., 2015). A loss of this factor causes significant anomalies in the development of cochlear circuits during postnatal development, which impairs peripheral function in these animals (Camarero et al., 2001, 2002; Cediel et al., 2006; Riquelme et al., 2010). Indeed, immature patterns of cochlear innervation persist in postnatal day 20 (P20) knockout mice and the spiral ganglion is abnormal, phenomena that are associated with increased auditory thresholds between the ages of 1–12 months and that ultimately result in severe sensorineural deafness (Murillo-Cuesta et al., 2011). Consequently, there is hypotrophy and hypoplasia in the cochlear nucleus of adult Igf1^−/− mice, which develops in parallel with higher wave II amplitudes in auditory brainstem responses (ABRs). The lack of IGF-1 also modifies excitatory but not inhibitory synapses in the cochlear nuclei, evident as an upregulation in the vesicular glutamate-transporter 1 (VGluT1; Fuentes-Santamaría et al., 2016). This modulation involves myocyte enhancer factor-2 (MEF2) transcription factors, which are downregulated in the IGF-1-deficient cochlea and cochlear nucleus, and that play a pivotal role in regulating excitatory synapses (Flavell et al., 2006; Ruffle et al., 2006; Sanchez-Calderon et al., 2010; Rashid et al., 2014).

Glia are closely associated with synapses and they are key regulators of synaptic neurotransmission in the central nervous system (CNS; Bacci et al., 1999; Hansson and Rönnbäck, 2003; Ullian et al., 2004; Slezak et al., 2006). In the healthy brain, quiescent microglial cells are very dynamic, and they act as sensors to maintain environmental homeostasis in the CNS. Along with their well-established role as modulators of brain inflammation, responsive microglia monitor neuronal excitability and they regulate synapse formation, maturation and pruning by secreting factors that affect synaptic responses (Eroglu and Barres, 2010). Under pathological conditions, these non-neuronal cells also represent the first line of defense in the CNS, responding quickly to signals released by injured neurons and by synapses, by modifying their structural appearance and physiology (Wolf et al., 2017). Studies based on glia-free culture of isolated cortex, retinal ganglion cells or spinal motor neurons have revealed that astrocytes also contribute to the formation, maturation and stability of synapses (Nakanishi et al., 1994; Pfrieger and Barres, 1996; Ullian et al., 2001). When extracellular glutamate levels increase, accumulation of this neurotransmitter is avoided by the clearance of glutamate from the synaptic cleft by excitatory amino acid transporters (EAATs) on astrocytes, preventing excess receptor activation and hence, glutamate excitotoxicity (Danbolt, 2001). These non-neuronal cells express both the EAAT1/glutamate aspartate transporter (GLAST) and EAAT2/GLT1 human/rodent carrier subtypes, and although their expression is region-selective (Lehre et al., 1995), GLT1 appears to be responsible for most of the glutamate uptake at excitatory synapses (Rothstein, 1996; Lehre and Danbolt, 1998). More specifically, GLAST and not GLT1 is expressed strongly by inner supporting cells in the developing and adult mouse cochlea (Furness and Lehre, 1997; Furness and Lawton, 2003; Jin et al., 2011), and it is responsible for glutamate removal at the synapse between inner hair cells and Type I spiral ganglion neurons (Glowatzki et al., 2006). Fibrocytes in the spiral ligament and spiral limbus also express high levels of GLAST, suggesting that these cells also regulate cochlear glutamate uptake (Furness et al., 2009). The fact that GLAST-deficient mice accumulate glutamate in the perilymph in response to acoustic overstimulation led to the proposal that this carrier protects against noise-induced hearing loss (Hakuba et al., 2000; Chen et al., 2010). Ultrastructural studies in the mouse have also provided evidence that both Na⁺-dependent glutamate transporters (GLTs) are expressed strongly in the cochlear nucleus, where they might modulate synaptic function (Josephson and Morest, 2003). GLT1 is also expressed by primary auditory neurons and glial cells in the spiral ganglion (Rebillard et al., 2003).

By competing for neurotransmitter binding and/or uptake, GLTs also modify the activation state of receptor populations at nearby synapses (Huang et al., 2004; Galik et al., 2008; Benediktsson et al., 2012). As such, electrophysiological recordings in acute hippocampal slices demonstrate that selective pharmacologic inhibition of astrocyte GLTs modifies the access of mGluRs to glutamate released at interneuron synapses (Huang et al., 2004; Nicoletti et al., 2011). These mGluRs are G-protein coupled receptors (GCPRs) that activate multiple signaling pathways to drive slow neuronal excitation in the brain (Niswender and Conn, 2010). Based on their specific properties, these receptors have been divided into groups I (mGluR1 and mGluR5), II (mGluR2 and mGluR3) and III (mGluR4, mGluR6, mGluR7, mGluR8), each of which seems to be involved in modulating cell excitability and synaptic transmission (Ferraguti and Shigemoto, 2006). The expression of mGluRs in the mammalian and avian auditory system has been seen to vary depending on the specific nucleus and the cell types they contain (Petralia et al., 2000; Lu, 2014). For example, mGluR1 and mGluR2 mRNA and protein has been detected in both the dorsal and ventral subdivisions of the cochlear nuclei, most intensely in the dorsal cochlear nucleus (DCN) where they seem to be located both pre- and post-synaptically (Bilak and Morest, 1998; Petralia et al., 2000; Kemmer and Vater, 2001; Nicholas and Hyson, 2004; Diaz et al., 2009; Martinez-Galan et al., 2010; Carzoli and Hyson, 2011, 2014). However, there is some controversy regarding the expression of the mGluR4 and mGluR7 subunits, and little information is available about mGluR3, mGluR5, mGluR6 and mGluR8 (Lu, 2014).

In the present study, we have assessed whether IGF-1-dependent alterations in synaptic neurotransmission in the cochlear nuclei involve glial cell dysfunction. Given that neuroglia actively participates in regulating synaptic transmission, the expression of ionized calcium-binding adaptor 1 (IBA1) and glial fibrillary acidic protein (GFAP) mRNA and protein was evaluated in mice lacking the Igf1 gene as markers of microglial and astrocytes, respectively. In addition, as the activity of the glutamatergic system is impaired in Igf1^−/− mice, possible abnormalities in the expression of the astroglial glutamate carriers (GLT1 and GLAST) and metabotropic glutamate receptors (mGluR1–5) were also investigated.

Materials and Methods

Mouse Handling and Genotyping

Mice heterozygous for the Igf1 gene (Igf1^+/−) were maintained on a hybrid MF1 and 129/sv genetic background to increase the survival of Igf1^−/− animals (Liu et al., 1993). Igf1^−/− mice mortality before adulthood is high, although between 20%–30% survived. Male and female Igf1^−/−, Igf1^+/− and Igf1^+/+ mice littermates were used in this study, aged 4 months (n = 24), and they were genotyped as described previously (Sanchez-Calderon et al., 2010). The mice were fed tap water and a standard diet, and they were housed following recommendations of the Federation of European Laboratory Animal Science Associations. Animal experimentation was carried out in accordance with Spanish and European legislation (RD 53/2013; EU directive 2010/63/EU), and the protocols were approved by the Animal Care and Use Committees of Spanish National Research Council (CSIC).

Cytoarchitecture of the Mouse Cochlear Nuclei

The nomenclature used to define the cochlear nucleus complex was based on previous studies in the mouse (Mugnaini et al., 1980; Martin and Rickets, 1981; Lambert and Schwartz, 1982; Webster and Trune, 1982). The criteria for the classification of cochlear nucleus neurons were based on cell size, shape and location within the nucleus. As in other mammals, the cochlear nuclei can be divided into two major regions termed the DCN and the ventral cochlear nucleus. The DCN is a laminated structure composed of three layers; the superficial molecular layer (ml, layer 1), the granule/fusiform cell layer (grl, layer 2) and the deep layer or central region (cr, layer 3) of the nucleus. The layer 1 is composed of small stellate cells, cartwheel cells, granule cell axons and fusiform cell dendrites. The layer 2 is made up of diverse neuron types including fusiform cells, also known as pyramidal or principal cells, many granule cells and cartwheel cells while the layer 3 contains mostly giant cells and tuberculoventral cells. The ventral cochlear nucleus is further divided by the cochlear nerve root into posteroventral cochlear nucleus (PVCN) and anteroventral cochlear nucleus (AVCN) subdivisions. According to their size and morphology, there are three main types of ventral cochlear nucleus neurons: (1) globular and spherical bushy cells are mainly located in the AVCN; (2) multipolar cells are present in both the AVCN and the PVCN; and (3) octopus cells are found exclusively in the PVCN. The cochlear granule cell domain is a continuous sheet of tightly packed granule cells which covers the dorsal and ventral regions of the ventral cochlear nucleus and the granule/fusiform layer of the DCN. A lamina of these cells also extends medially and ventrally to separate the DCN from the PVCN.

RNA Isolation and Reverse Transcription Quantitative PCR

Mice were sacrificed by barbiturate overdose (Dolethal^®, 40–90 mg/kg i/p), decapitated and a midline incision was made in the skin of the head to flip it over the eyes and free the skull. Next, a frontal bone cross-section in the skull in front of the olfactory bulbs and a caudal cross-section by the interparietal bone were made. Both sections were joined by a longitudinal section along the sagittal suture, which facilitated partial removal of the frontal and parietal bones and exposure of the encephalon. To locate the cochlear nuclei, different anatomical landmarks including the cerebellum, the inferior cerebellar peduncle and the spinal trigeminal tract were used as reference points (Franklin and Paxinos, 2013). After removal of the overlying cerebellar flocculus, the dorsal and ventral cochlear nuclei of Igf1^+/+, Igf1^+/− and Igf1^−/− mice (at least n = 3 per genotype) were dissected off the dorsolateral part of the brainstem (Ryugo and Willard, 1985; Juiz et al., 2000; Fuentes-Santamaria et al., 2005; Caminos et al., 2015). Tissue samples were conveniently stabilized using RNAlater^® and disrupted with a TissueLyser system. Total RNA was isolated and genomic DNA efficiently removed using the RNeasy Plus Mini Kit^® automated on a QIAcube (QIAGEN), according to manufacturer’s instructions. Quality and quantity of RNA was further assessed by using the Agilent 2100 bioanalyzer, only samples with a RIN > 8.5 were used. Using equal quantities of this RNA from each individual mouse as a template, cDNAs were generated by reverse transcription (RT: High-Capacity cDNA Reverse Transcription Kit; Thermo Fisher Scientific) and amplified by quantitative PCR (qPCR) in a 7900HT System (ThermoFisher Scientific) as described previously (Fuentes-Santamaría et al., 2016). TaqMan^® Gene Expression Assays¹ (Life Technologies) were used to detect Iba1 (Mm00479862_g1), Gfap (Mm01253033_m1), Glast (Mm00600697_m1), Glt1 (Mm00441457_m1), mGluR1 (Mm01187089_m1), mGluR2 (Mm01235831_m1), mGluR4 (Mm01306128_m1) and mGluR7 (Mm01189424_m1). All probes used span exon/exon boundaries with the exception of Iba1 (Mm00479862_g1). Randomly, control reactions were carried out to secure the quality of the reagents used (no cDNA) and purity of RNA preparations (no RT). Hypoxanthine phosphoribosyltransferase 1 (Hprt1) and ribosomal protein lateral stalk subunit P0 (Rplp0) were used as endogenous reference genes for normalization, and the relative quantity (RQ) was calculated against calibrator samples, as determined by the 2^−ΔΔCt method (Livak and Schmittgen, 2001). The data are presented as the mean RQ.

Characterization of Primary Antibodies

Information about the primary antibodies used in this study is summarized in Table 1. The anti- NeuN antibody was produced from the nuclei of mouse brain cells and as described previously (Mullen et al., 1992; Lind et al., 2005), it detects a single 48 kDa band in western blots of mouse brain tissue. It has been used as a neuronal maker as it recognizes the neuron-specific NeuN protein, which is widely expressed in peripheral and central neurons (Rasmussen et al., 2007). The staining pattern described here for the cochlear nuclei matches previous descriptions (Fuentes-Santamaría et al., 2012). The anti-calretinin (CR) antibody was raised against the human CR protein and its specificity has been assessed in Western blots of membrane fractions from the cochlear nucleus, recognizing a single specific 31 kDa band (Fuentes-Santamaria et al., 2005). The IBA1 antibody was raised against a synthetic peptide corresponding to the C-terminal fragment of rat protein, N-PTGPPAKKAISELP-C (Imai et al., 1996). This antibody recognizes a single band with an estimated molecular weight of 17 kDa, and it stains microglia and macrophages in the peripheral and central auditory system (Ito et al., 1998; Sasaki et al., 2001; Fuentes-Santamaría et al., 2012). The GFAP antibody was raised against GFAP from bovine spinal cord and it recognizes a single 50 kDa band in western blots that corresponds to the GFAP protein (Debus et al., 1983). GFAP is an intermediate filament protein and it mainly stains astrocytes in the mature CNS. It is important to note that GFAP is a reliable marker to label reactive protoplasmic and fibrous astrocytes but since some resting astrocytes express this marker only weakly, they might not be detected by immunohistochemistry (Sofroniew and Vinters, 2010). GFAP staining in the mouse cochlear nuclei with this antibody was consistent with previous studies in rodents (Fuentes-Santamaría et al., 2017). The anti-EAAT1 (GLAST) antibody was raised against a peptide mapping to the C-terminus of human EAAT1 and it detects a single band at approximately 65 kDa in Western blots of rat brain tissue. EAAT1 is an excitatory amino acid transporter expressed mainly in astrocytes and staining of the mouse cochlear nucleus with this antibody matched previous observations (Furuta et al., 1997; Schmitt et al., 1997). The anti-EAAT2 (GLT1) antibody was raised against a synthetic peptide from the carboxy-terminus of rat GLT1 and its target is also an excitatory amino acid transporter mainly located in astrocytes. Its specificity and staining pattern have been described elsewhere (Furuta et al., 1997; Atoji and Islam, 2009).

TABLE 1

Table 1. List of primary antibodies.

Immunohistochemistry

Under deep ketamine hydrochloride anesthesia (0.12 mg/g injected i.p.—intraperitoneal), mice (n = 15) were transcardially perfused with a 0.9% saline solution, followed by a solution of 4% paraformaldehyde (PFA) in 0.1 M phosphate buffer (PB; pH 7.3). The brain of the mice was removed and incubated overnight in 30% sucrose in PB, and coronal sections (40 μm) were then obtained on a sliding microtome. The brain tissue from each genotype was processed simultaneously. The sections were rinsed in Tris-buffered saline (TBS, pH 7.4) containing 0.2% Triton X-100 (Tx) and incubated overnight (with agitation) at 4°C with a primary antibody raised against IBA1, GFAP, GLT1, GLAST or mGluR1α. After several rinses in TBS-Tx 0.2%, antibody binding was detected over 2 h with the corresponding biotinylated secondary antibodies (1:200; Vector Laboratories, Burlingame, CA, USA), and the antigen-antibody complex was visualized by incubating for 1 h in ABC reagent (PK-6100, vector laboratories, Burlingame, CA, USA) at room temperature and performing diaminobenzidine histochemistry. Finally, the sections were mounted onto gelatin-coated slides, air-dried and coverslipped using Cytoseal (Stephens Scientific, Camden, NJ, USA) for light microscopy analysis. Control experiments were performed by omitting either the primary or secondary antibody, or the ABC reagent, resulting in no staining.

Double Immunofluorescence Labeling

An alternate set of brain sections from these same animals was rinsed several times in PBS-Tx 0.2% and incubated overnight in the corresponding cocktail of primary antibodies. Sections were double-labeled with a solution containing primary antibodies against IBA1and NeuN, GFAP and NeuN, GLAST and calretinin (CR), or mGluR1α and NeuN, and single-labeled with GLT1 (Table 1). After four 15 min rinses in TBS-Tx (0.2%), the secondary antibodies (1:200) were applied for 2 h at room temperature: donkey anti-goat conjugated to Alexa 488 and donkey anti-rabbit conjugated to Alexa 594 for GLAST and CR; goat anti-rabbit conjugated to Alexa 488 and goat anti-guinea pig conjugated to Alexa 594 for IBA1/NeuN, GFAP/NeuN and mGluR1α/NeuN; goat anti-guinea pig conjugated to Alexa 594 for GLT1 (Molecular Probes, Eugene, OR, USA). These sections were then counterstained with DAPI (4′,6-diamidino-2-phenylindole; Molecular Probes, Eugene, OR, USA) and mounted.

Morphometric Analysis of Microglia Branching: Skeleton Analysis

To evaluate the possible modifications in the ramification of microglia in the cochlear nuclei due to IGF-1 deficiency, a skeleton analysis was performed using NIH ImageJ software (Schneider et al., 2012). The analysis of each nucleus was done on four sections from three mice per genotype. Images were captured with a 40× objective, converted into 16-bit scale and by using the thresholding function, the immunostained microglia were counted using a cell counter plug-in. The 16-bit scale images were then transformed into binary images that were subsequently, skeletonized (Figure 1). The Analyze Skeleton plug-in (version 3.1.3², Arganda-Carreras et al., 2010), was used to calculate the endpoints and the processes length in each field. The obtained values were normalized and expressed as endpoints/cell and process length/cell (Morrison and Filosa, 2013; Turlejski et al., 2016; Morrison et al., 2017). The following parameters were evaluated: (1) the number of microglial cells per field; (2) the number of microglia process endpoints per cell; and (3) the microglia process length per cell (μm). The endpoints/cell give us an estimate of the number of branch points of microglia, while the process length/cell gives us the mean length of microglial branches (Morrison and Filosa, 2013; Turlejski et al., 2016; Morrison et al., 2017). It is possible, at least in some instances that, after generating the skeleton, a few loops could be detected by the software in the resultant images. For pruning these loops, the software compares the original and the resulting skeleton images and by using, in our case, the method of the lowest intensity voxel, it excludes any voxel with intensities below the threshold. In that way, any possible loop/s that could affect the measurement will be eliminated. Similar to the densitometric analysis, and to avoid bias, all measurements were performed by the same experimenter blinded to the mouse genotype.

FIGURE 1

Figure 1. Morphometric analysis of microglial branching. For the skeleton analysis, digital images of IBA1 immunostained cells were captured with a 40× objective (A,E), converted into binary images (B,F) and then skeletonized (C,G). To evaluate microglial morphology parameters, skeletonized images were processed using the Analyze Skeleton plugin for Image J. Each glial cell is identified with a different color. The representative glia is shown in purple, and part of the skeleton of the other glial cells is shown in yellow, blue and white (D,H).

Evaluation and Quantification of the Immunostaining

Light Microscopy

The brains that were processed for light microscopy were analyzed with brightfield illumination using a Nikon Eclipse photomicroscope equipped with a 40× objective. Images were captured with a DXM 1200C digital camera attached to the microscope. This study evaluates qualitatively and quantitatively the immunostaining produced by different antibodies used to label microglia, astrocytes, astroglial GLTs and mGluRs in the mouse cochlear nuclei. The qualitative parameters used to assess the immunostaining were: (1) cell morphology (ramified vs. bipolar), staining intensity (weak, moderate, or strong) and immunopositive profiles (cell/puncta) area. The quantitative analysis was provided through the use of custom-made macros that were written in a Pascal-like language (Xu et al., 2000; Alvarado et al., 2004). Captured color images of each selected field were digitized and the ensuing 8-bit images had a grayscale of pixel intensities that ranged from 0 (white) to 255 (black). Three animals of each genotype were used to evaluate the immunostaining in the DCN, PVCN and AVCN. In each coronal section, three microscopic fields (36.85 × 10³ μm²; dorsal, middle and ventral) were sampled 160 μm apart using a 40× objective and a total of four sections per mouse were analyzed. To quantify the immunostaining, images containing grayscale values from 0 to 255 were normalized, and then, an automatic threshold was set as two standard deviations above the value of the field. Profiles exceeding the threshold for detection were considered as labeled. The mean gray level of the immunostaining and the immunostained area were used as indicators of the protein levels and cell/puncta immunostained area, respectively (Fuentes-Santamaria et al., 2005; Alvarado et al., 2007b, 2014; Adams et al., 2008). The immunostained area gave us an estimate of the area occupied by stained profiles and it was calculated as the sum of all the immunostained cellular elements present in the field (Benson et al., 1997; Fuentes-Santamaría et al., 2012, 2013). To avoid bias, all measurements were performed by the same experimenter blinded to the animal conditions.

Confocal Microscopy

The brains from each genotype were processed simultaneously and the cochlear nuclei photographed under similar conditions. For appropriate image acquisition and interpretation, the following parameters were controlled: laser intensity, detector gain, pinhole aperture, number of optical sections and Z-stacking. For each dye, optical sections every 2.5 μm through the thickness of each nucleus were captured sequentially with 40× or 63× Plan Apo oil-immersion objectives, merged and saved as TIFF files using the ZEN 2009 Light Edition software. Fluorescent sections were examined with a laser scanning confocal microscope (LSM 710: Zeiss, Germany) with excitation laser lines at 405, 488 and 594 nm.

Image Processing and Statistical Analysis

Photoshop CS3 (Adobe) and Canvas X (Deneba) were used to adjust the size, brightness and contrast of the images. The immunohistochemical and qPCR data were expressed as the means ± SD, and the statistical comparisons among genotypes were made using a one-factor analysis of variance and Scheffé’s post hoc analysis as necessary. A p-value < 0.05 was considered statistically significant, and the significance levels (α) and power (β) were set to 0.05 and 95%, respectively. Significant differences among animal groups are indicated by asterisks: *p < 0.05; **p < 0.01; and ***p < 0.001.

Results

Altered Microglial Morphology and IBA1 Downregulation in Igf1^−/− Mice

As alterations to microglia may lead to neuronal and synaptic dysfunction (Kettenmann et al., 2013; Wu et al., 2015), the morphology of these non-neuronal cells and their IBA1 expression was studied in the cochlear nuclei of Igf1^−/− mice and compared to heterozygous and wild-type mice. Regardless of the genotype, microglia in both cochlear nucleus subdivisions had a resting phenotype, characterized by a small round cell body with ramified processes (Figures 2, 3). Qualitative observations showed that, when compared to the other genotypes, Igf1^−/− mice exhibited more lightly stained microglia, which was coupled to an apparent decrease in both cell number and microglia ramification in all the nuclei analyzed (arrows in Figures 2C–E, 3E–G,K–M). To further assess the branching of microglia, reconstructed Z-stack confocal images of IBA1 stained microglia were also evaluated for each nucleus and genotype (arrows in Figures 2F–H, 3H–J,N–Q). This analysis of the confocal images also demonstrated that microglia in Igf1^−/− mice had shorter processes, which covered a smaller surface area than in Igf1^+/+ and Igf1^+/− mice. These observations were corroborated by analyses of variance (ANOVA), which demonstrated a significant effect of IGF-1 deficiency over the mean gray levels of IBA1 immunostaining in the DCN (F_(2,22) = 10.35, p < 0.001), PVCN (F_(2,15) = 13.86, p < 0.001) and AVCN (F_(2,18) = 13.81, p < 0.001), as well as over the immunostained areas in the DCN (F_(2,22) = 10.77, p < 0.001), PVCN (F_(2,15) = 9.94, p < 0.01) and AVCN (F_(2,18) = 12.15, p < 0.001). Further analysis using a Scheffé’s post hoc test determined that the mean gray levels in the Igf1^−/− mice were significantly lower than in the Igf1^+/+ (p < 0.01 for the DCN, p < 0.001 for the PVCN and AVCN) and Igf1^+/− (p < 0.05 for the DCN and AVCN, p < 0.01 for the PVCN) mice (Figures 2I, 4). Similar decreases were observed for the immunostained areas relative to the Igf1^+/+ (p < 0.01 for the DCN, p < 0.05 for the PVCN and AVCN) and Igf1^+/− (p < 0.01 for the DCN and PVCN, p < 0.001 for the AVCN) mice (Figures 2J, 4). Moreover, a one-way ANOVA analysis also identified an IGF-1 dependent effect on microglial ramification. Accordingly, the morphometric analysis of microglial branching revealed statistically significant decreases in the number of microglia/field in the DCN, PVCN and AVCN of Igf1^−/− mice compared to Igf1^+/+ and Igf1^+/− mice, as well as in the microglia process endpoints/cell and microglia process length/cell (Tables 2, 3; also see 1). In accordance with the immunohistochemical data, qPCR gene expression studies detected weaker Iba1 mRNA expression levels in the cochlear nuclei of Igf1^−/− mice relative to the other genotypes (p < 0.05, Figure 4E).

FIGURE 2

Figure 2. IBA1 immunostaining in the DCN of Igf1^−/− mice. (A) Coronal section of a wild-type mouse brain taken from the Franklin and Paxinos (2013) mouse brain atlas, to show the location of the DCN (red) and PVCN. (B) Representative coronal section of the cochlear nuclei in the wild-type genotype immunostained with IBA1. In Igf1^−/− mice, cells with multipolar or bipolar morphology were stained more weakly, and they had shorter processes than in Igf1^+/+ and Igf1^+/− mice (arrows in C–E). The maximum intensity projections of confocal images of the DCN illustrate a reduction in microglial branching in Igf1^−/− mice (arrow in H) when compared to the other genotypes (arrows in F,G). Quantification of the immunostaining showed the significant decrease in the mean gray levels (I) and the immunostained areas (J) in the Igf1^−/− mouse when compared to the other genotypes. Arrows point to IBA1 immunostained cells. Cell nuclei in (F–H) are stained with DAPI (blue). The error bars indicate the standard deviations of the mean. Statistically significant differences among the animal groups were evaluated by one-factor analyses of variance (ANOVA; *p < 0.05; **p < 0.01). Abbreviations: Cb, Cerebellum; cr, central region of the dorsal cochlear nucleus (DCN); grl, granule/fusiform layer; IBA1, ionized-calcium-binding adaptor; icp, inferior cerebellar peduncle; IRt, intermediate reticular nucleus; ml, molecular layer; NeuN, neuronal marker; PVCN, posteroventral cochlear nucleus; sp5, spinal trigeminal nucleus; sp5OVL, spinal trigeminal nucleus, oral part, ventrolateral division; 4V, 4th ventricle; 7N, facial nucleus. Scale bars: 250 μm in (B); 50 μm in (C; it also applies to C,D); 20 μm in (H; it also applies to F,G).

FIGURE 3

Figure 3. IBA1 immunostaining in the PVCN and AVCN of Igf1^−/− mice. (A,C) Coronal sections of a wild-type mouse brain, taken from Franklin and Paxinos (2013) mouse brain atlas, showing the location of the PVCN (green) and AVCN (blue). (B,D) Representative coronal sections of the ventral cochlear nucleus in the wild-type genotype immunostained with IBA1. In the PVCN and AVCN of Igf1^−/− mice, there was less staining (G,J,M,P,Q) relative to the Igf1^+/+ (E,H,K,N) and Igf1^+/− mice (F,I,L,O). Maximum intensity projections of confocal images from the PVCN and AVCN show the reduced microglial arborization in Igf1^−/− mice as compared to the other genotypes (H–J,N–Q for the PVCN and AVCN; respectively). Arrows point to IBA1 immunostained cells. Cell nuclei are stained with DAPI (blue). Abbreviations: AVCN, anteroventral cochlear nucleus; Cb, Cerebellum; IBA1, ionized-calcium-binding adaptor; icp, inferior cerebellar peduncle; IRt, intermediate reticular nucleus; NeuN, neuronal marker; PnC, pontine reticular nucleus, caudal part; PVCN, posteroventral cochlear nucleus; sp5, spinal trigeminal nucleus; sp5OVL, spinal trigeminal nucleus, oral part, ventrolateral division; 4V, 4th ventricle; 7n, facial nerve; 7N, facial nucleus; 8n, vestibulocochlear nerve. Scale bars: 250 μm in (D; it also applies to B); 50 μm in (F,J; it also applies to E,G,H,I); 20 μm in (L,O; it also applies to K,M,N,P,Q).

FIGURE 4

Figure 4. Insulin-like growth factor 1 (IGF-1) deficiency leads to Iba1 downregulation in Igf1^−/− mice. Bar graphs showing decreases in the mean gray levels (A,B) and immunostained areas (C,D) in the Igf1^−/− mouse cochlear nuclei when compared to Igf1^+/+ and Igf1^+/− mice. Similar reductions in Iba1 expression were also detected by RT-quantitative PCR (qPCR; E). Error bars indicate the standard deviations of the mean. Statistically significant differences among the animal groups were evaluated by one-factor ANOVA (*p < 0.05; **p < 0.01, ***p < 0.001). Abbreviations: AVCN, anteroventral cochlear nucleus; PVCN, posteroventral cochlear nucleus.

TABLE 2

Table 2. Morphometric analysis of microglial ramification in the dorsal cochlear nucleus (DCN).

TABLE 3

Table 3. Morphometric analysis of microglial ramification in the posteroventral cochlear nucleus (PVCN) and anteroventral cochlear nucleus (AVCN).

Downregulation of GFAP Expression in Igf1^−/− Mice

Excitatory synaptic neurotransmission appears to be altered in the cochlear nucleus of Igf1^−/− mice (Fuentes-Santamaría et al., 2016). Since astrocytes are modulators of mature and functional synapses, and they are crucial for the maintenance of synapses (Chung et al., 2006), the astrocytic expression of GFAP in the cochlear nuclei was examined. In all genotypes evaluated, GFAP protein was located in the cytoplasm and processes of astrocytes that were highly ramified (Figures 5, 6). Specifically, in the granule cell domain, immunostained astrocytes were densely packed and intensely stained (asterisks in Figures 5A–C). In agreement with previous observations in rodents (Burette et al., 1998; Insausti et al., 1999), GFAP immunostaining in the DCN of all genotypes, was distributed in a dorso-ventral gradient, whereby the molecular layer was more intensely stained than the intermediate granule/fusiform layer and the central region of the DCN (insets in Figures 5A–C) where astrocytes organized into patches characterized by multiple cells (arrows in Figures 5A,B). In all of the mice analyzed, irrespective of the genotype, astrocytes were associated with neurons in the cochlear nucleus, as well as with other astrocytes (Figures 5D–F). In IGF-1 deficient mouse, the immunostaining in the intermediate and deep layers of the DCN, but not in the superficial layer (ml), seemed to be weaker than in the other animal groups (Figures 5A–F). Similarly, a reduction in the immunostaining was also detected in the PVCN and AVCN of Igf1^−/− mice (Figures 5G–L, 6A–F). These decreases were confirmed by ANOVA, which showed that there was a significant effect of the IGF-1 deficiency on the mean gray levels of GFAP immunostaining in the DCN (F_(2,13) = 5.32, p < 0.05), PVCN (F_(2,18) = 17.32, p < 0.001) and AVCN (F_(2,12) = 14.99, p < 0.001), and on the immunostained areas in the DCN (F_(2,13) = 17.88, p < 0.001), PVCN (F_(2,18) = 13.37, p < 0.001) and AVCN (F_(2,12) = 18.33, p < 0.001; Figures 5M–P, 6G,H). Similarly, there was significantly less Gfap mRNA in the Igf1^−/− mice than in the Igf1^+/+ and Igf1^+/− mice (p < 0.01, Figure 6I).

FIGURE 5

Figure 5. GFAP immunostaining in the DCN and PVCN of Igf1^−/− mice. GFAP immunostaining was distributed throughout the different DCN layers in all the genotypes analyzed (A–F). GFAP-immunostained astrocytes were strongly stained in the molecular layer while only a few astrocytes were observed in the intermediate layer and central region of the DCN (A–C). Note that some of these astrocytes group together forming patches of immunostaining (arrows in A,B). In the Igf1^−/− mice, GFAP immunostaining was apparently weaker in the deeper layers (grl and cr) of the DCN and in the PVCN than in Igf1^+/+ and Igf1^+/− mice (A–C,G–I). The spatial relationship between neurons and astrocytes in all genotypes is shown in Z-stack confocal microscopy images of the DCN (D–F) and PVCN (J–L). Quantification of the mean gray levels (M,O) and stained areas (N,P) in these nuclei corroborated the decreases in the immunostaining. Asterisks in (A–C) indicate GFAP immunostaining in the granule cell domain. Statistically significant differences among the mouse genotypes were evaluated by one-factor ANOVA (*p < 0.05, **p < 0.01, ***p < 0.001). Cell nuclei in (D–F) and (J–L) are stained with DAPI (blue). The square boxes in (A–C) indicate the location of the higher magnification images shown in (A–C; insets). Abbreviations: cr, central region of the dorsal cochlear nucleus (DCN); GFAP, glial fibrillary acidic protein; grl, granule/fusiform layer; ml, molecular layer; NeuN, neuronal marker; PVCN, posteroventral cochlear nucleus; sp5, spinal trigeminal nucleus. Scale bars: 500 μm in (C; it also applies to A,B); 100 μm in the inset in (C; it also applies to insets in A,B); 20 μm in (F,I; it also applies to D,E,G,H) and 50 μm in (L; it also applies to J,K).

FIGURE 6

Figure 6. GFAP immunostaining in the AVCN of Igf1^−/− mice. Analysis of GFAP immunostaining in the Igf1^−/− mice showed that there were fewer astrocytes and they were less intensely stained (C,F) when compared to Igf1^+/+ (A,D) and Igf1^+/− mice (B,E). Z-stack confocal microscopy images of GFAP and NeuN double-labeling are shown for all genotypes (D–F). The apparent decrease in GFAP immunostaining in the Igf1^−/− mouse was corroborated by quantifying the mean gray levels (G) and the stained areas (H). The qualitative and quantitative data were confirmed when RT-qPCR data showed decreased Gfap expression in the Igf1^−/− mouse cochlear nuclei (I). The error bars indicate the standard deviations of the mean. Statistically significant differences among the animal groups were evaluated by one-factor ANOVA (**p < 0.01, ***p < 0.001). Cell nuclei are stained with DAPI (blue). The square boxes in a-c indicate the location of the higher magnification images shown in (A–C; insets). Abbreviations: AVCN, anteroventral cochlear nucleus; GFAP, glial fibrillary acidic protein; NeuN, neuronal marker; sp5, spinal trigeminal nucleus. Scale bars: 500 μm in (C; it also applies to A,B); 100 μm in the inset in (C; it also applies to insets in A,B) and 20 μm in (F; it also applies to D,E).

IGF-1 Dependent Alterations to Astrocyte Glutamate Transporters

To determine possible abnormalities in astrocyte GLTs that might contribute to abnormal excitatory synaptic activity in the cochlear nucleus circuits of Igf1^−/− mice, as reported previously (Fuentes-Santamaría et al., 2016), the expression of GLT1 and GLAST was investigated.

Upregulation of EAAT2/GLT1 Expression in Igf1^−/− Mice

Regardless of the genotype, GLT1 immunostaining was evident as dense punctate labeling that was similarly distributed throughout the cochlear nuclei (Figures 7, 8). In the DCN, the GLT1 stained puncta were distributed throughout the molecular layer, granule/fusiform layer and the central region of the DCN (Figures 7A–C). Similar diffuse punctate neuropil staining was also observed in the PVCN (Figures 8A–C) and AVCN (Figures 8F–H). Although the distribution of GLT1 immunostaining was similar in the different genotypes, the GLT1 puncta in Igf1^−/− mice were apparently more strongly stained and they seemed to occupy a larger extension in both subdivisions of the cochlear nucleus (Figures 7, 8). These qualitative immunohistochemical appreciations were confirmed by ANOVA, which showed a significant effect of the absence of IGF-1 on the mean gray level of GLT1 in the DCN (F_(2,10) = 15.94, p < 0.001), PVCN (F_(2,10) = 61.48, p < 0.001) and AVCN (F_(2,9) = 32.92, p < 0.001) and also on the immunostained areas in the DCN (F_(2,10) = 28.16, p < 0.001), PVCN (F_(2,10) = 41.85, p < 0.001) and AVCN (F_(2,9) = 28.66, p < 0.001). As demonstrated using Scheffé’s post hoc test, the mean gray levels in the Igf1^−/− mice were significantly higher than in the Igf1^+/+ (p < 0.001 for DCN, PVCN and AVCN) and Igf1^+/− (p < 0.01 for DCN and AVCN, p < 0.001 for PVCN) mice (Figures 7D, 8D,I). Likewise, the GLT1 immunostained areas were also larger in the Igf1^−/− mice than in the Igf1^+/+ (p < 0.001 for all nuclei) and Igf1^+/− (p < 0.001 for DCN and PVCN; p < 0.01 for AVCN) mice (Figures 7E, 8E,J). Corroborating the protein expression data, Glt1 mRNA expression in the Igf1^−/− mice cochlear nuclei was significantly stronger than in the other genotypes (p < 0.001; Figure 7F).

FIGURE 7

Figure 7. Upregulation of GLT1 in the DCN of Igf1^−/− mice. In the Igf1^−/− mouse, the strongly GLT1 immunostained puncta (red) were found in all layers of the nucleus and presumptively occupied a larger area (C) than in the other genotypes (A,B). These qualitative observations were corroborated by significant increases in the mean gray levels and the immunostained areas (D,E). Similar increases in the IGF-1 deficient DCN were also detected by quantifying Glt1 mRNA expression (F). The inset in (A; pseudo-colored green for higher contrast) indicates the approximate location of the fields shown in (A–C). Error bars indicate the standard deviations of the mean. Statistically significant differences among the animal groups were evaluated by one-factor ANOVA (**p < 0.01, ***p < 0.001). Cell nuclei are stained with DAPI (blue). Abbreviations: cr, central region of the dorsal cochlear nucleus (DCN); GLT1, glutamate transporter 1; grl, granule/fusiform layer; ml, molecular layer. Scale bar: 20 μm in (C; it also applies to A,B).

FIGURE 8

Figure 8. Upregulation of GLT1 in the ventral cochlear nuclei of Igf1^−/− mice. Z-stack confocal microscopy images show enhanced GLT1 immunostaining (red) in the IGF-1 deficient ventral cochlear nucleus (C,H) relative to the Igf1^+/+ (A,F) and Igf1^+/− mice (B,G). Quantification of the immunostaining confirmed this upregulation in both the PVCN (D,E) and AVCN (I,J). The inset in (A,F; pseudo-colored green for higher contrast) indicates the approximate location of the fields shown in (A–C,F–H); for the PVCN and AVCN, respectively. The error bars indicate the standard deviations of the mean. Statistically significant differences among the animal groups were evaluated by one-factor ANOVA (**p < 0.01, ***p < 0.001). Cell nuclei are stained with DAPI (blue). Abbreviations: AVCN, anteroventral cochlear nucleus; GLT1, glutamate transporter 1; PVCN, posteroventral cochlear nucleus. Scale bar: 20 μm in (C,H; it also applies to A,B,F,G).

GLAST Expression in Igf1^−/− Mice

Like GLT1, a dense network of GLAST immunostained puncta was evident in the neuropil and around the soma of DCN, PVCN and AVCN neurons in Igf1^+/+, Igf1^+/– and Igf1^−/− mice (Figure 9). However, in contrast to GLT1 there appeared to be no significant differences in the immunostaining among the distinct mouse genotypes, in either the mean gray levels of GLAST immunostaining in the DCN (F_(2,7) = 0.94, NS), PVCN (F_(2,9) = 1.01, NS) and AVCN (F_(2,11) = 1.56, NS) or in the immunostained areas in the DCN (F_(2,7) = 0.24, NS), PVCN (F_(2,9) = 1.56, NS) and AVCN (F_(2,11) = 0.93, NS; Figure 10). In accordance with these immunohistochemical findings, there were also no differences in Glast gene expression in the cochlear nuclei of Igf1^−/− mice relative to the Igf1^+/− and Igf1^−/− mice (Figure 9J).

FIGURE 9

Figure 9. Glutamate aspartate transporter (GLAST) immunostaining in the Igf1^−/− mice cochlear nuclei. In all genotypes, GLAST stained puncta (green) were densely distributed throughout the neuropil and on the soma of DCN (A–C), PVCN (D–F) and AVCN (G–I) neurons immunostained with CR (red). No differences were observed in the distribution of the immunostaining among the three groups. The analysis of Glast expression levels by RT-qPCR confirmed these immunohistochemical results (J). The error bars indicate the standard deviations of the mean. Arrows point to CR-immunostained cells. Cell nuclei are stained with DAPI (blue). Abbreviations: AVCN, anteroventral cochlear nucleus; cr, central region of the DCN (dorsal cochlear nucleus); CR, calretinin; GLAST, glutamate aspartate transporter; grl, granule/fusiform layer; ml, molecular layer; PVCN, posteroventral cochlear nucleus. Scale bar: 20 μm in (I; it also applies to A–H).

FIGURE 10

Figure 10. Histograms showing the mean gray levels of GLAST immunostaining and the immunostained areas in the cochlear nuclei of Igf1^−/−, Igf1^+/− and Igf1^+/+ mice. Analysis of the immunostaining indicated that there were no significant differences among the genotypes in either the mean gray levels of immunostaining (A–C) or in the immunostained areas (D–F) in the DCN, PVCN and AVCN. The error bars indicate the standard deviations of the mean. Abbreviations: DCN, dorsal cochlear nucleus; PVCN, posteroventral cochlear nucleus; AVCN, anteroventral cochlear nucleus.

Downregulation of mGluRs in Igf1^−/− Mice

As the upregulated GLT1 expression is suggestive of abnormal glutamate uptake, the mRNA and protein expression of mGluRs were also examined in the Igf1^−/− mice cochlear nuclei. As mGluR1α is expressed abundantly in the cochlear nuclei (Lu, 2014), its expression was evaluated at both the mRNA and protein levels, whereas the expression of mGluR2, mGluR4 and mGluR7 was only based on qPCR analyses. mGluR1α staining was detected in the DCN of Igf1^+/+, Igf1^+/− and Igf1^−/− mice, mostly in the neuropil of the molecular layer and on the dendrites of fusiform and cartwheel cells in the granule/fusiform layer (Figures 11A–C), (Bilak and Morest, 1998; Petralia et al., 2000). Regardless of the genotype, the immunostaining in the PVCN and AVCN was observed in globular and stellate cells which were identified according to their location within the nucleus, as shown previously (Bilak and Morest, 1998; Figures 11D–I). In Igf1^−/− mice, the mGluR1α staining levels in the dorsal and ventral cochlear nucleus subdivisions were weaker than in the other genotypes (Figure 11). When quantified, immunostaining revealed a significant effect of the lack of IGF-1 on the mean gray level of mGluR1α in the DCN (F_(2,13) = 18.17, p < 0.001), PVCN (F_(2,14) = 51.59, p < 0.001) and AVCN (F_(2,9) = 56.55, p < 0.001) and also on the immunostained areas in the DCN (F_(2,13) = 18.17, p < 0.001), PVCN (F_(2,14) = 16.03, p < 0.01) and AVCN (F_(2,9) = 19.91, p < 0.001). According to the post hoc test, the mean gray levels in the Igf1^−/− mice were significantly lower than in the Igf1^+/+ (p < 0.01 for the DCN, p < 0.001 for the PVCN and AVCN) and Igf1^+/− (p < 0.001 for all nuclei) mice (Figures 11J,L,N). Likewise, the immunostained areas of mGluR1α were also smaller in the Igf1^−/− mice than in the Igf1^+/+ (p < 0.001 for the DCN, p < 0.01 for the PVCN and AVCN) and Igf1^+/− (p < 0.01 for all nuclei) mice (Figures 11K,M,O). Significant decreases in mGluR1, mGluR2 and mGluR4 gene expression were detected in the Igf1^−/− mouse cochlear nucleus relative to the wild-type mice. Although mGluR7 expression also appeared to be weaker, this difference did not reach statistical significance (Figure 12).

FIGURE 11

Figure 11. Downregulation of mGluR1α in the cochlear nuclei of Igf1^−/− mice. In the Igf1^−/− mice, there was less mGluR1α staining (green) in the molecular and granule layers of the DCN than in the other genotypes (A–C). Similar decreases were also detected in Igf1^−/− mouse PVCN (D–F) and AVCN (G–I). Quantification confirmed these qualitative decreases in the Igf1^−/− mouse relative to the Igf1^+/+ and Igf1^+/− mice (J–O). The error bars indicate the standard deviations of the mean. Statistically significant differences among the animal groups were evaluated by one-factor ANOVA (**p < 0.01, ***p < 0.001). Neurons are stained with NeuN antibody (red) and cell nuclei are stained with DAPI (blue). Abbreviations: AVCN, anteroventral cochlear nucleus; cr, central region of the dorsal cochlear nucleus (DCN); grl, granule/fusiform layer; ml, molecular layer; mGluR1, metabotropic glutamate receptor 1; NeuN, neuronal marker; PVCN, posteroventral cochlear nucleus. Scale bar: 20 μm in (I; it also applies to A–H).

FIGURE 12

Figure 12. The loss of IGF-1 leads to mGluR1α, mGluR2α, mGluR4α and mGluR7α downregulation. The mGluR1α, mGluR2α, mGluR4α and mGluR7α mRNA expression was determined by RT-qPCR in 4-month-old Igf1^−/−, Igf1^+/− and Igf1^+/+ mice. The results demonstrate a decline in mGluR1α (A), mGluR2α (B), mGluR4α (C) and mGluR7α (D) expression in the Igf1^−/− mouse when compared with Igf1^+/− and Igf1^+/+ mice. Note that the decrease in mgluR7α expression in the Igf1^−/− mice was not statistically significant. Also, they show a significant downregulation of mGluR1α (A), mGluR2α (B) and mGluR4α in heterozygous mice compared with their age-matched control mice. The error bars indicate the standard deviations of the mean. Statistically significant differences among the animal groups were evaluated by one-factor ANOVA (*p < 0.05; **p < 0.01, ***p < 0.001).

Discussion

The present study demonstrates that IGF-1 deficiency leads to alterations in glial morphology, a decreased expression and protein accumulation in IBA1 and GFAP, an upregulation of GLT1 but not GLAST, and the downregulation of groups I, II and III mGluRs. Our previous findings in Igf1^−/− mice demonstrated that primary cochlear afferents upregulate their VGluT1 protein but not the vesicular GABA transporter (VGAT), suggesting that presynaptic excitatory neurotransmission may be impaired. This synaptic plasticity might be mediated by MEF2 proteins, which are downregulated in both the cochlea and the cochlear nucleus, and which may reflect enhanced synaptic efficacy (Fuentes-Santamaría et al., 2016). As an activity-dependent factor, rapid elevations of IGF-1 within neurons in response to modifications in cochlear activity have been associated with synaptic rearrangements in the rat cochlear nucleus (Alvarado et al., 2007a; Fuentes-Santamaría et al., 2007, 2012, 2013). In other brain structures like the hippocampus, IGF-1 is also a regulator of excitatory synaptic transmission (Ramsey et al., 2005; Xing et al., 2007; Deak and Sonntag, 2012). Indeed, the effects of a reduced density of glutamatergic terminals in the hippocampus of mice with low-serum IGF-1 levels is ameliorated by continued systemic IGF-1 administration (Trejo et al., 2007).

The effects of IGF-1 on glial cells have been studied in different systems. When non-astrocytic inner retinal glia-like cells are stimulated by IGF-1 in the avian retina, retinal neurons and Müller glia are more vulnerable to excitotoxic damage (Fischer et al., 2010). In the mouse retina, IGF-1 deficiency causes age-associated retinal gliosis (Arroba et al., 2018). In cerebellar cultures, blocking the IGF-1 receptor in astrocytes reduces their capacity to rescue neurons damaged by oxidative stress, suggesting that this growth factor is crucial for these non-neuronal cells to exert their protective effects (Genis et al., 2014). Moreover, transgenic mice overexpressing IGF-1 in the retina develop gliosis and microgliosis, along with impaired glutamate recycling, which leads to cell death. Hence, glial cells appear to be involved in the regulation of excitatory synaptic function (Villacampa et al., 2013). Our data demonstrate that Igf1^−/− mice have less Iba1 mRNA and, consequently, lower IBA1 protein levels along with decreases in the mean gray levels of IBA1 immunostaining and immunostained areas in both cochlear nucleus subdivisions. Igf1^−/− mice display structural modifications of microglia including decreases in the number of cells per field, shorter processes length and a reduction in microglial branching as compared to heterozygous and wildtype mice. The contribution of microglia to the adaptive responses that take place in the auditory nuclei in response to cochlear damage induced by acoustic trauma or cochlear ablation has been well documented (Fuentes-Santamaría et al., 2012; Dinh et al., 2014; Janz and Illing, 2014; Baizer et al., 2015). In this regard, lesion-induced microglial activation may exert regulatory influences on cochlear nucleus synapses, contributing to structural and functional remodeling. Recent data from microglia depletion models indicated that the loss of microglia during brain development leads to defective glial-synapse communication and aberrant synaptic maturation (Paolicelli and Ferretti, 2017). Indeed, the absence of IGF-1 leads to an ineffective refinement of cochlear synapses during postnatal maturation, which results in dysfunctional excitatory connections in the adult cochlear nucleus (Camarero et al., 2001; Riquelme et al., 2010; Fuentes-Santamaría et al., 2016). Given that microglial motility is primarily involved in reshaping neuronal circuits during development, and in supporting and maintaining active synapses in the adult brain, limited microglial branching due to IGF-1 deficiency may produce defective neuronal-glial communication and consequently, abnormal synaptic transmission in auditory nuclei.

Astrocytes continuously exchange signals with pre- and postsynaptic elements at the tripartite synapse, and they are also crucial for the formation and maintenance of glutamatergic synapses due to their dynamic involvement in the processing and integration of synaptic information (Ricci et al., 2009; Villalba and Smith, 2011; Kim et al., 2017; Papouin et al., 2017). Our data in the Igf1^−/− mouse reveal a significant decrease in GFAP protein and mRNA, as well as reductions in astrocyte density. In this regard, the loss of GFAP in Igf1^−/− mice results in increased synaptic plasticity and altered GLT activity, suggesting that GFAP expression is essential to correctly regulate glutamatergic neurotransmission (Hughes et al., 2004). It is worth noting that the morphological and functional plasticity of the astrocyte is achieved through polymerization/assembly and depolymerization/disassembling of GFAP which acts a scaffolding network for the translocation of GFAP-associated functional molecules (Wang and Parpura, 2018), such as the GLTs. Accordingly, it has been proposed that the glutamate-mediated localization of GLT1 and GLAST in the astrocyte membrane is highly dependent on the actin cytoskeleton of this glial cell (Duan et al., 1999; Zhou, 2004). Astrocyte dysfunction may modify the coverage of neurons by glia, increasing neuronal communication and influencing glutamate concentrations and therefore, the activity of carriers and receptors. GLT1 and GLAST are both high-affinity, sodium-dependent GLTs located on perisynaptic processes of astrocytes and closely associated with excitatory synapses. In cultures of chick cerebellar Bergmann glia cells, GLT1 activity is modulated by IGF-1 signaling (Gamboa and Ortega, 2002) and thus, the absence of this factor may alter excitatory signaling.

GLT1 dysfunction has been linked to several neurological disorders in which glutamate homeostasis is impaired (Verkhratsky et al., 2012; Soni et al., 2014). For instance, upregulation of GLT1 expression improves signs of Huntington’s disease in symptomatic R6/2 mice (Miller et al., 2008) and enhanced GLT1 expression also has been detected in the prefrontal cortex of schizophrenic patients, suggesting impaired glutamatergic transmission in this disease (Matute et al., 2005). GLT1 also appears to be upregulated in Igf1^−/− mice, the predominant glial GLT, while the expression and accumulation of the GLAST protein were not modified. In line with these observations, GLT1 immunoreactivity is enhanced in cerebellar synaptosomal preparations of Gfap^−/− mice when compared to wild-type animals (Hughes et al., 2004). Such upregulation in cerebellar synaptic GLT1 protein expression may facilitate the rapid uptake of synaptic glutamate through the activation of mGluRs, suggesting a pivotal role for GFAP in trafficking GLTs. Based on these observations, our results provide evidence of IGF-1-dependent regulation of astrocytes, that alters glial glutamate transport capacity and therefore, excitatory synapses. Although the number of astrocytes and/or transporters per cell was not assessed for each genotype in the current study, it is plausible to postulate that an upregulation in GLT1 in the mutant mouse would contribute to clear excessive glutamate resultant from increased neuronal interactions in response to astrocytes loss and/or dysfunction. Indeed, GLT1 is responsible for most of the glutamate uptake (90%) around excitatory synapses (Lehre and Danbolt, 1998), although the mechanisms that drive the increase in GLT1 in the Igf1^−/− mice are still unclear.

GLT1 overexpression near synapses could have important consequences for the kinetics of glutamate uptake and hence, on mGluR levels in the cochlear nuclei. For instance, an upregulation in GLT1 in the Igf1^−/− cochlear nuclei will reduce the amount of glutamate available in the synaptic cleft, thus resulting in decreased glutamate binding to mGluRs (Huang et al., 2004). This decrease, in turn, would lead to significantly dampen the gene expression levels of mGluR1, mGluR2, mGluR4 and mGluR7, as demonstrated in this study. In accordance with our data, previous studies have demonstrated that mGluR1 is detected in the DCN of rodents under normal physiological conditions, particularly on unipolar brush cells and cartwheel cells, and also in globular bushy cells and stellate cells in the PVCN and AVCN (Bilak and Morest, 1998; Kemmer and Vater, 2001). Although the mGluR1 in the cochlear nuclei is mostly found post-synaptically, it has also been detected in presynaptic elements (Petralia et al., 1996; Wright et al., 1996). mGluR2 is also expressed in the cochlear nuclei while the expression of mGluR4 and mGluR7 remains unclear (Lu, 2014). In vivo and in vitro studies in the chick cochlear nucleus, nucleus magnocellularis, have demonstrated that pharmacological blockade of groups I and II mGluR activation provokes neuronal degeneration, suggesting a pivotal role for these receptors in regulating neuronal survival (Nicholas and Hyson, 2004; Diaz et al., 2009; Carzoli and Hyson, 2011, 2014). The activation of these receptors also regulates glutamate uptake at the cochlear nucleus-auditory nerve synapse, preventing the excitotoxic accumulation of extracellular glutamate (Carzoli and Hyson, 2014). Whole cell recordings in brain slice preparations demonstrated that the activity of mGluRs suppresses GABAergic transmission (Lu, 2007), highlighting their role in achieving balanced excitation and inhibition in the nucleus magnocellularis.

In summary, adult Igf1^−/− mice show modifications in the morphological features of the glutamatergic synapses (presynaptic and postsynaptic components) that lead to excitatory synaptic plasticity, which involves not only auditory neurons but also glial cells. Although the role of microglia in this process is unclear, their reduced arborization may result in more prolonged microglia response times and therefore, lead to decreased modulation of neuronal activity. On the other hand, the reduction in the fine astrocytic processes may facilitate neuronal interactions that, along with an enhanced expression of GLT1, would contribute to regulation of synaptic glutamate resulting from excessive neuronal activation.

Conclusion

The results presented here suggest that absence of IGF-1 leads to central adaptive events in the adult Igf1^−/− cochlear nuclei, which include structural impairment of microglia and astrocytes, upregulation in GLT1 expression, and downregulation of mGluRs. These morphological alterations may contribute to adaptation of auditory neurons and their synaptic connections to changing levels of activity, due to the imbalances in neurotransmission. Determining the molecular, biochemical and morphological mechanisms underlying neuronal plasticity in a mouse model of hearing deficits will give us insight into new therapeutic strategies that could help to maintain or even improve residual hearing when human deafness is related to IGF-1 deficiency.

Author Contributions

All authors had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. VF-S, JA and IV-N: study concept and design. VF-S, JA and LR-R: acquisition of data, statistical analysis and interpretation of data. VF-S and JA: drafting of the manuscript. VF-S, JA, LR-R, IV-N and JJ: critical revision of the manuscript for important intellectual content. IV-N, VF-S and JJ: obtaining funding.

Funding

This work was supported by the Spanish Ministerio de Economía y Competitividad (MINECO; SAF2016-788898-C2-1R) to JJ and VF-S; Seventh Framework Programme (FP7)-HEALTH-2012-INNOVATON (#304925) to JJ; CIBERER/FEDER ACCI-ER16P5AC7091 and ER17P5AC7612 to LR-R; and Spanish MINECO/FEDER (SAF2014-53979-R), FP7-PEOPLE-2013-IAPP TARGEAR, CIBERER/FEDER (ACCI-ER16P5AC7091 and ER17P5AC7612) to IV-N. LR-R holds a contract supported by CIBERER (Institute of Health Carlos III) co-financed with FEDER funds.

Conflict of Interest Statement

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 would like to thank Maria Cruz Gabaldón for her excellent technical assistance and the Neurobiology of Hearing group (IIBm, CSIC-UAM) for sharing procedures, information and helpful discussions.

Footnotes

1. ^ https://bioinfo.appliedbiosystems.com/genome-database/gene-expression.html
2. ^ https://imagej.net/AnalyzeSkeleton

References

Adams, M. M., Shi, L., Linville, M. C., Forbes, M. E., Long, A. B., Bennett, C., et al. (2008). Caloric restriction and age affect synaptic proteins in hippocampal CA3 and spatial learning ability. Exp. Neurol. 211, 141–149. doi: 10.1016/j.expneurol.2008.01.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Alvarado, J. C., Fuentes-Santamaría, V., Franklin, S. R., Brunso-Bechtold, J. K., and Henkel, C. K. (2007a). Synaptophysin and insulin-like growth factor-1 immunostaining in the central nucleus of the inferior colliculus in adult ferrets following unilateral cochlear removal: a densitometric analysis. Synapse 61, 288–302. doi: 10.1002/syn.20373

PubMed Abstract | CrossRef Full Text | Google Scholar

Alvarado, J. C., Stanford, T. R., Vaughan, J. W., and Stein, B. E. (2007b). Cortex mediates multisensory but not unisensory integration in superior colliculus. J. Neurosci. 27, 12775–12786. doi: 10.1523/jneurosci.3524-07.2007

PubMed Abstract | CrossRef Full Text | Google Scholar

Alvarado, J. C., Fuentes-Santamaría, V., Gabaldón-Ull, M. C., Blanco, J. L., and Juiz, J. M. (2014). Wistar rats: a forgotten model of age-related hearing loss. Front. Aging Neurosci. 6:29. doi: 10.3389/fnagi.2014.00029

PubMed Abstract | CrossRef Full Text | Google Scholar

Alvarado, J. C., Fuentes-Santamaría, V., Henkel, C. K., and Brunso-Bechtold, J. K. (2004). Alterations in calretinin immunostaining in the ferret superior olivary complex after cochlear ablation. J. Comp. Neurol. 470, 63–79. doi: 10.1002/cne.11038

PubMed Abstract | CrossRef Full Text | Google Scholar

Arganda-Carreras, I., Fernández-González, R., Muñoz-Barrutia, A., and Ortiz-De-Solorzano, C. (2010). 3D reconstruction of histological sections: application to mammary gland tissue. Microsc. Res. Tech. 73, 1019–1029. doi: 10.1002/jemt.20829

PubMed Abstract | CrossRef Full Text | Google Scholar

Arroba, A. I., Campos-Caro, A., Aguilar-Diosdado, M., and Valverde, Á. M. (2018). IGF-1, inflammation and retinal degeneration: a close network. Front. Aging Neurosci. 10:203. doi: 10.3389/fnagi.2018.00203

PubMed Abstract | CrossRef Full Text | Google Scholar

Atoji, Y., and Islam, M. R. (2009). Distribution of glutamate transporter 1 mRNA in the central nervous system of the pigeon (Columba livia). J. Chem. Neuroanat. 37, 234–244. doi: 10.1016/j.jchemneu.2009.03.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Bacci, A., Verderio, C., Pravettoni, E., and Matteoli, M. (1999). The role of glial cells in synaptic function. Philos. Trans. R. Soc. Lond. B Biol. Sci. 354, 403–409. doi: 10.1098/rstb.1999.0393

PubMed Abstract | CrossRef Full Text | Google Scholar

Baizer, J. S., Wong, K. M., Manohar, S., Hayes, S. H., Ding, D., Dingman, R., et al. (2015). Effects of acoustic trauma on the auditory system of the rat: the role of microglia. Neuroscience 303, 299–311. doi: 10.1016/j.neuroscience.2015.07.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Benediktsson, A. M., Marrs, G. S., Tu, J. C., Worley, P. F., Rothstein, J. D., Bergles, D. E., et al. (2012). Neuronal activity regulates glutamate transporter dynamics in developing astrocytes. Glia 60, 175–188. doi: 10.1002/glia.21249

PubMed Abstract | CrossRef Full Text | Google Scholar

Benson, C. G., Gross, J. S., Suneja, S. K., and Potashner, S. J. (1997). Synaptophysin immunoreactivity in the cochlear nucleus after unilateral cochlear or ossicular removal. Synapse 25, 243–257. doi: 10.1002/(SICI)1098-2396(199703)25:3<243::AID-SYN3>3.0.CO;2-B

PubMed Abstract | CrossRef Full Text | Google Scholar

Bilak, S. R., and Morest, D. K. (1998). Differential expression of the metabotropic glutamate receptor mGluR1α by neurons and axons in the cochlear nucleus: in situ hybridization and immunohistochemistry. Synapse 28, 251–270. doi: 10.1002/(SICI)1098-2396(199804)28:4<251::AID-SYN1>3.0.CO;2-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Burette, A., Jalenques, I., and Romand, R. (1998). Developmental distribution of astrocytic proteins in the rat cochlear nucleus. Dev. Brain Res. 107, 179–189. doi: 10.1016/S0165-3806(97)00212-5

CrossRef Full Text | Google Scholar

Camarero, G., Avendano, C., Fernandez-Moreno, C., Villar, A., Contreras, J., de Pablo, F., et al. (2001). Delayed inner ear maturation and neuronal loss in postnatal Igf-1-deficient mice. J. Neurosci. 21, 7630–7641. doi: 10.1523/jneurosci.21-19-07630.2001

PubMed Abstract | CrossRef Full Text | Google Scholar

Camarero, G., Villar, M. A., Contreras, J., Fernández-Moreno, C., Pichel, J. G., Avendaño, C., et al. (2002). Cochlear abnormalities in insulin-like growth factor-1 mouse mutants. Hear. Res. 170, 2–11. doi: 10.1016/s0378-5955(02)00447-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Caminos, E., Vaquero, C. F., and Martinez-Galan, J. R. (2015). Relationship between rat retinal degeneration and potassium channel KCNQ5 expression. Exp. Eye Res. 131, 1–11. doi: 10.1016/j.exer.2014.12.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Carzoli, K. L., and Hyson, R. L. (2011). In vivo analysis of the role of metabotropic glutamate receptors in the afferent regulation of chick cochlear nucleus neurons. Hear. Res. 272, 49–57. doi: 10.1016/j.heares.2010.10.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Carzoli, K. L., and Hyson, R. L. (2014). Activation of metabotropic glutamate receptors regulates ribosomes of cochlear nucleus neurons. PloS One 9:e111243. doi: 10.1371/journal.pone.0111243

PubMed Abstract | CrossRef Full Text | Google Scholar

Cediel, R., Riquelme, R., Contreras, J., Díaz, A., and Varela-Nieto, I. (2006). Sensorineural hearing loss in insulin-like growth factor I-null mice: a new model of human deafness. Eur. J. Neurosci. 23, 587–590. doi: 10.1111/j.1460-9568.2005.04584.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, Z., Kujawa, S. G., and Sewell, W. F. (2010). Functional roles of high-affinity glutamate transporters in cochlear afferent synaptic transmission in the mouse. J. Neurophysiol. 103, 2581–2586. doi: 10.1152/jn.00018.2010

PubMed Abstract | CrossRef Full Text | Google Scholar

Chung, H. J., Jan, Y. N., and Jan, L. Y. (2006). Polarized axonal surface expression of neuronal KCNQ channels is mediated by multiple signals in the KCNQ2 and KCNQ3 C-terminal domains. Proc. Natl. Acad. Sci. U S A 103, 8870–8875. doi: 10.1073/pnas.0603376103

PubMed Abstract | CrossRef Full Text | Google Scholar

Danbolt, N. C. (2001). Glutamate uptake. Prog. Neurobiol. 65, 1–105. doi: 10.1016/s0301-0082(00)00067-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Deak, F., and Sonntag, W. E. (2012). Aging, synaptic dysfunction, and insulin-like growth factor (IGF)-1. J. Gerontol. A Biol. Sci. Med. Sci. 67, 611–625. doi: 10.1093/gerona/gls118

PubMed Abstract | CrossRef Full Text | Google Scholar

Debus, E., Weber, K., and Osborn, M. (1983). Monoclonal antibodies specific for glial fibrillary acidic (GFA) protein and for each of the neurofilament triplet polypeptides. Differ. Res. Biol. Divers. 25, 193–203. doi: 10.1111/j.1432-0436.1984.tb01355.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Diaz, C., Martinez-Galan, J. R., and Juiz, J. M. (2009). Development of glutamate receptors in auditory neurons from long-term organotypic cultures of the embryonic chick hindbrain. Eur. J. Neurosci. 29, 213–230. doi: 10.1111/j.1460-9568.2008.06578.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Dinh, M. L., Koppel, S. J., Korn, M. J., and Cramer, K. S. (2014). Distribution of glial cells in the auditory brainstem: normal development and effects of unilateral lesion. Neuroscience 278, 237–252. doi: 10.1016/j.neuroscience.2014.08.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Duan, S., Anderson, C. M., Stein, B. A., and Swanson, R. A. (1999). Glutamate induces rapid upregulation of astrocyte glutamate transport and cell-surface expression of GLAST. J. Neurosci. 19, 10193–10200. doi: 10.1523/jneurosci.19-23-10193.1999

PubMed Abstract | CrossRef Full Text | Google Scholar

Eroglu, C., and Barres, B. A. (2010). Regulation of synaptic connectivity by glia. Nature 468, 223–231. doi: 10.1038/nature09612

PubMed Abstract | CrossRef Full Text | Google Scholar

Ferraguti, F., and Shigemoto, R. (2006). Metabotropic glutamate receptors. Cell Tissue Res. 326, 483–504. doi: 10.1007/s00441-006-0266-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Fischer, A. J., Scott, M. A., Zelinka, C., and Sherwood, P. (2010). A novel type of glial cell in the retina is stimulated by insulin-like growth factor 1 and may exacerbate damage to neurons and Müller glia. Glia 58, 633–649. doi: 10.1002/glia.20950

PubMed Abstract | CrossRef Full Text | Google Scholar

Flavell, S. W., Cowan, C. W., Kim, T.-K., Greer, P. L., Lin, Y., Paradis, S., et al. (2006). Activity-dependent regulation of MEF2 transcription factors suppresses excitatory synapse number. Science 311, 1008–1012. doi: 10.1126/science.1122511

PubMed Abstract | CrossRef Full Text | Google Scholar

Franklin, K. B. J., and Paxinos, G. (2013). Paxinos and Franklin’s The Mouse Brain in Stereotaxic Coordinates. 4th Edn. Amsterdam: Academic Press, an imprint of Elsevier.

Fuentes-Santamaría, V., Alvarado, J. C., Gabaldón-Ull, M. C., and Juiz, J. M. (2013). Upregulation of insulin-like growth factor and interleukin 1β occurs in neurons but not in glial cells in the cochlear nucleus following cochlear ablation. J. Comp. Neurol. 521, 3478–3499. doi: 10.1002/cne.23362

PubMed Abstract | CrossRef Full Text | Google Scholar

Fuentes-Santamaría, V., Alvarado, J. C., Henkel, C. K., and Brunso-Bechtold, J. K. (2007). Cochlear ablation in adult ferrets results in changes in insulin-like growth factor-1 and synaptophysin immunostaining in the cochlear nucleus. Neuroscience 148, 1033–1047. doi: 10.1016/j.neuroscience.2007.07.026

PubMed Abstract | CrossRef Full Text | Google Scholar

Fuentes-Santamaría, V., Alvarado, J. C., and Juiz, J. M. (2012). Long-term interaction between microglial cells and cochlear nucleus neurons after bilateral cochlear ablation. J. Comp. Neurol. 520, 2974–2990. doi: 10.1002/cne.23088

PubMed Abstract | CrossRef Full Text | Google Scholar

Fuentes-Santamaría, V., Alvarado, J. C., Melgar-Rojas, P., Gabaldón-Ull, M. C., Miller, J. M., and Juiz, J. M. (2017). The role of glia in the peripheral and central auditory system following noise overexposure: contribution of TNF-α and IL-1β to the pathogenesis of hearing loss. Front. Neuroanat. 11:9. doi: 10.3389/fnana.2017.00009

PubMed Abstract | CrossRef Full Text | Google Scholar

Fuentes-Santamaría, V., Alvarado, J. C., Rodríguez-de la Rosa, L., Murillo-Cuesta, S., Contreras, J., Juiz, J. M., et al. (2016). Erratum to: IGF-1 deficiency causes atrophic changes associated with upregulation of VGluT1 and downregulation of MEF2 transcription factors in the mouse cochlear nuclei. Brain Struct. Funct. 221:1205. doi: 10.1007/s00429-014-0945-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Fuentes-Santamaria, V., Alvarado, J. C., Taylor, A. R., Brunso-Bechtold, J. K., and Henkel, C. K. (2005). Quantitative changes in calretinin immunostaining in the cochlear nuclei after unilateral cochlear removal in young ferrets. J. Comp. Neurol. 483, 458–475. doi: 10.1002/cne.20437

PubMed Abstract | CrossRef Full Text | Google Scholar

Furness, D. N., and Lawton, D. M. (2003). Comparative distribution of glutamate transporters and receptors in relation to afferent innervation density in the mammalian cochlea. J. Neurosci. 23, 11296–11304. doi: 10.1523/jneurosci.23-36-11296.2003

PubMed Abstract | CrossRef Full Text | Google Scholar

Furness, D. N., Lawton, D. M., Mahendrasingam, S., Hodierne, L., and Jagger, D. J. (2009). Quantitative analysis of the expression of the glutamate-aspartate transporter and identification of functional glutamate uptake reveal a role for cochlear fibrocytes in glutamate homeostasis. Neuroscience 162, 1307–1321. doi: 10.1016/j.neuroscience.2009.05.036

PubMed Abstract | CrossRef Full Text | Google Scholar

Furness, D. N., and Lehre, K. P. (1997). Immunocytochemical localization of a high-affinity glutamate-aspartate transporter, GLAST, in the rat and guinea-pig cochlea. Eur. J. Neurosci. 9, 1961–1969. doi: 10.1111/j.1460-9568.1997.tb00763.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Furuta, A., Rothstein, J. D., and Martin, L. J. (1997). Glutamate transporter protein subtypes are expressed differentially during rat CNS development. J. Neurosci. 17, 8363–8375. doi: 10.1523/jneurosci.17-21-08363.1997

PubMed Abstract | CrossRef Full Text | Google Scholar

Galik, J., Youn, D.-H., Kolaj, M., and Randić, M. (2008). Involvement of group I metabotropic glutamate receptors and glutamate transporters in the slow excitatory synaptic transmission in the spinal cord dorsal horn. Neuroscience 154, 1372–1387. doi: 10.1016/j.neuroscience.2008.04.059

PubMed Abstract | CrossRef Full Text | Google Scholar

Gamboa, C., and Ortega, A. (2002). Insulin-like growth factor-1 increases activity and surface levels of the GLAST subtype of glutamate transporter. Neurochem. Int. 40, 397–403. doi: 10.1016/s0197-0186(01)00106-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Genis, L., Dávila, D., Fernandez, S., Pozo-Rodrigálvarez, A., Martínez-Murillo, R., and Torres-Aleman, I. (2014). Astrocytes require insulin-like growth factor I to protect neurons against oxidative injury. F1000Res. 3:28. doi: 10.12688/f1000research.3-28.v2

PubMed Abstract | CrossRef Full Text | Google Scholar

Glowatzki, E., Cheng, N., Hiel, H., Yi, E., Tanaka, K., Ellis-Davies, G. C. R., et al. (2006). The glutamate-aspartate transporter GLAST mediates glutamate uptake at inner hair cell afferent synapses in the mammalian cochlea. J. Neurosci. 26, 7659–7664. doi: 10.1523/jneurosci.1545-06.2006

PubMed Abstract | CrossRef Full Text | Google Scholar

Hakuba, N., Koga, K., Gyo, K., Usami, S. I., and Tanaka, K. (2000). Exacerbation of noise-induced hearing loss in mice lacking the glutamate transporter GLAST. J. Neurosci. 20, 8750–8753. doi: 10.1523/jneurosci.20-23-08750.2000

PubMed Abstract | CrossRef Full Text | Google Scholar

Hansson, E., and Rönnbäck, L. (2003). Glial neuronal signaling in the central nervous system. FASEB J. 17, 341–348. doi: 10.1096/fj.02-0429rev

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, Y. H., Sinha, S. R., Tanaka, K., Rothstein, J. D., and Bergles, D. E. (2004). Astrocyte glutamate transporters regulate metabotropic glutamate receptor-mediated excitation of hippocampal interneurons. J. Neurosci. 24, 4551–4559. doi: 10.1523/jneurosci.5217-03.2004

PubMed Abstract | CrossRef Full Text | Google Scholar

Hughes, E. G., Maguire, J. L., McMinn, M. T., Scholz, R. E., and Sutherland, M. L. (2004). Loss of glial fibrillary acidic protein results in decreased glutamate transport and inhibition of PKA-induced EAAT2 cell surface trafficking. Mol. Brain Res. 124, 114–123. doi: 10.1016/j.molbrainres.2004.02.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Imai, Y., Ibata, I., Ito, D., Ohsawa, K., and Kohsaka, S. (1996). A novel gene iba1 in the major histocompatibility complex class III region encoding an EF hand protein expressed in a monocytic lineage. Biochem. Biophys. Res. Commun. 224, 855–862. doi: 10.1006/bbrc.1996.1112

PubMed Abstract | CrossRef Full Text | Google Scholar

Insausti, A. M., Cruz-Orive, L. M., Jáuregui, I., Manrique, M., and Insausti, R. (1999). Stereological assessment of the glial reaction to chronic deafferentation of the cochlear nuclei in the macaque monkey (Macaca fascicularis). J. Comp. Neurol. 414, 485–494. doi: 10.1002/(SICI)1096-9861(19991129)414:4<485::AID-CNE5>3.0.CO;2-W

CrossRef Full Text | Google Scholar

Ito, D., Imai, Y., Ohsawa, K., Nakajima, K., Fukuuchi, Y., and Kohsaka, S. (1998). Microglia-specific localisation of a novel calcium binding protein, Iba1. Mol. Brain Res. 57, 1–9. doi: 10.1016/s0169-328x(98)00040-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Janz, P., and Illing, R.-B. (2014). A role for microglial cells in reshaping neuronal circuitry of the adult rat auditory brainstem after its sensory deafferentation. J. Neurosci. Res. 92, 432–445. doi: 10.1002/jnr.23334

PubMed Abstract | CrossRef Full Text | Google Scholar

Jin, D., Ohlemiller, K. K., Lei, D., Dong, E., Role, L., Ryugo, D. K., et al. (2011). Age-related neuronal loss in the cochlea is not delayed by synaptic modulation. Neurobiol. Aging 32, 2321.e13–2321.e23. doi: 10.1016/j.neurobiolaging.2010.05.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Josephson, E. M., and Morest, D. K. (2003). Synaptic nests lack glutamate transporters in the cochlear nucleus of the mouse. Synapse 49, 29–46. doi: 10.1002/syn.10201

PubMed Abstract | CrossRef Full Text | Google Scholar

Juiz, J. M., Luján, R., Domínguez del Toro, E., Fuentes, V., Ballesta, J. J., and Criado, M. (2000). Subcellular compartmentalization of a potassium channel (Kv1.4): preferential distribution in dendrites and dendritic spines of neurons in the dorsal cochlear nucleus: Kv1.4 channels in dendrites and dendritic spines. Eur. J. Neurosci. 12, 4345–4356. doi: 10.1111/j.1460-9568.2000.01335.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Kemmer, M., and Vater, M. (2001). Cellular and subcellular distribution of AMPA-type glutamate receptor subunits and metabotropic glutamate receptor 1α in the cochlear nucleus of the horseshoe bat (Rhinolophus rouxi). Hear. Res. 156, 128–142. doi: 10.1016/s0378-5955(01)00266-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Kettenmann, H., Kirchhoff, F., and Verkhratsky, A. (2013). Microglia: new roles for the synaptic stripper. Neuron 77, 10–18. doi: 10.1016/j.neuron.2012.12.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, S. K., Nabekura, J., and Koizumi, S. (2017). Astrocyte-mediated synapse remodeling in the pathological brain. Glia 65, 1719–1727. doi: 10.1002/glia.23169

PubMed Abstract | CrossRef Full Text | Google Scholar

Lambert, P. R., and Schwartz, I. R. (1982). A longitudinal study of changes in the cochlear nucleus in the CBA mouse. Otolaryngol. Head Neck Surg. 90, 787–794. doi: 10.1177/019459988209000620

PubMed Abstract | CrossRef Full Text | Google Scholar

Lehre, K. P., and Danbolt, N. C. (1998). The number of glutamate transporter subtype molecules at glutamatergic synapses: chemical and stereological quantification in young adult rat brain. J. Neurosci. 18, 8751–8757. doi: 10.1523/JNEUROSCI.18-21-08751.1998

PubMed Abstract | CrossRef Full Text | Google Scholar

Lehre, K. P., Levy, L. M., Ottersen, O. P., Storm-Mathisen, J., and Danbolt, N. C. (1995). Differential expression of two glial glutamate transporters in the rat brain: quantitative and immunocytochemical observations. J. Neurosci. 15, 1835–1853. doi: 10.1523/JNEUROSCI.15-03-01835.1995

PubMed Abstract | CrossRef Full Text | Google Scholar

Lind, D., Franken, S., Kappler, J., Jankowski, J., and Schilling, K. (2005). Characterization of the neuronal marker NeuN as a multiply phosphorylated antigen with discrete subcellular localization. J. Neurosci. Res. 79, 295–302. doi: 10.1002/jnr.20354

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, J. P., Baker, J., Perkins, A. S., Robertson, E. J., and Efstratiadis, A. (1993). Mice carrying null mutations of the genes encoding insulin-like growth factor I (Igf-1) and type 1 IGF receptor (Igf1r). Cell 75, 59–72. doi: 10.1016/s0092-8674(05)80084-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Livak, K. J., and Schmittgen, T. D. (2001). Analysis of relative gene expression data using real-time quantitative PCR and the 2−ΔΔCT method. Methods 25, 402–408. doi: 10.1006/meth.2001.1262

PubMed Abstract | CrossRef Full Text | Google Scholar

Lu, Y. (2007). Endogenous mGluR activity suppresses GABAergic transmission in avian cochlear nucleus magnocellularis neurons. J. Neurophysiol. 97, 1018–1029. doi: 10.1152/jn.00883.2006

PubMed Abstract | CrossRef Full Text | Google Scholar

Lu, Y. (2014). Metabotropic glutamate receptors in auditory processing. Neuroscience 274, 429–445. doi: 10.1016/j.neuroscience.2014.05.057

PubMed Abstract | CrossRef Full Text | Google Scholar

Magariños, M., Contreras, J., Aburto, M. R., and Varela-Nieto, I. (2012). Early development of the vertebrate inner ear. Anat. Rec. 295, 1775–1790. doi: 10.1002/ar.22575

PubMed Abstract | CrossRef Full Text | Google Scholar

Martin, M. R., and Rickets, C. (1981). Histogenesis of the cochlear nucleus of the mouse. J. Comp. Neurol. 197, 169–184. doi: 10.1002/cne.901970113

PubMed Abstract | CrossRef Full Text | Google Scholar

Martinez-Galan, J. R., Perez-Martinez, F. C., and Juiz, J. M. (2010). Differences in glutamate-mediated calcium responses in the ventral cochlear nucleus and inferior colliculus of the developing rat. Hear. Res. 267, 46–53. doi: 10.1016/j.heares.2010.03.089

PubMed Abstract | CrossRef Full Text | Google Scholar

Matute, C., Melone, M., Vallejo-Illarramendi, A., and Conti, F. (2005). Increased expression of the astrocytic glutamate transporter GLT-1 in the prefrontal cortex of schizophrenics. Glia 49, 451–455. doi: 10.1002/glia.20119

PubMed Abstract | CrossRef Full Text | Google Scholar

Miller, B. R., Dorner, J. L., Shou, M., Sari, Y., Barton, S. J., Sengelaub, D. R., et al. (2008). Up-regulation of GLT1 expression increases glutamate uptake and attenuates the Huntington’s disease phenotype in the R6/2 mouse. Neuroscience 153, 329–337. doi: 10.1016/j.neuroscience.2008.02.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Morrison, H. W., and Filosa, J. A. (2013). A quantitative spatiotemporal analysis of microglia morphology during ischemic stroke and reperfusion. J. Neuroinflammation 10:4. doi: 10.1186/1742-2094-10-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Morrison, H., Young, K., Qureshi, M., Rowe, R. K., and Lifshitz, J. (2017). Quantitative microglia analyses reveal diverse morphologic responses in the rat cortex after diffuse brain injury. Sci. Rep. 7:13211. doi: 10.1038/s41598-017-13581-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Mugnaini, E., Osen, K. K., Dahl, A. L., Friedrich, V. L. Jr., and Korte, G. (1980). Fine structure of granule cells and related interneurons (termed Golgi cells) in the cochlear nuclear complex of cat, rat and mouse. J. Neurocytol. 9, 537–570. doi: 10.1007/bf01204841

PubMed Abstract | CrossRef Full Text | Google Scholar

Mullen, R. J., Buck, C. R., and Smith, A. M. (1992). NeuN, a neuronal specific nuclear protein in vertebrates. Development 116, 201–211.

PubMed Abstract | Google Scholar

Murillo-Cuesta, S., Rodríguez-de la Rosa, L., Cediel, R., Lassaletta, L., and Varela-Nieto, I. (2011). The role of insulin-like growth factor-I in the physiopathology of hearing. Front. Mol. Neurosci. 4:11. doi: 10.3389/fnmol.2011.00011

PubMed Abstract | CrossRef Full Text | Google Scholar

Nakanishi, K., Okouchi, Y., Ueki, T., Asai, K., Isobe, I., Eksioglu, Y. Z., et al. (1994). Astrocytic contribution to functioning synapse formation estimated by spontaneous neuronal intracellular Ca2+ oscillations. Brain Res. 659, 169–178. doi: 10.1016/0006-8993(94)90876-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Nicholas, A. H., and Hyson, R. L. (2004). Group I and II metabotropic glutamate receptors are necessary for the activity-dependent regulation of ribosomes in chick auditory neurons. Brain Res. 1014, 110–119. doi: 10.1016/j.brainres.2004.03.066

PubMed Abstract | CrossRef Full Text | Google Scholar

Nicoletti, F., Bockaert, J., Collingridge, G. L., Conn, P. J., Ferraguti, F., Schoepp, D. D., et al. (2011). Metabotropic glutamate receptors: from the workbench to the bedside. Neuropharmacology 60, 1017–1041. doi: 10.1016/j.neuropharm.2010.10.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Niswender, C. M., and Conn, P. J. (2010). Metabotropic glutamate receptors: physiology, pharmacology, and disease. Annu. Rev. Pharmacol. Toxicol. 50, 295–322. doi: 10.1146/annurev.pharmtox.011008.145533

PubMed Abstract | CrossRef Full Text | Google Scholar

Paolicelli, R. C., and Ferretti, M. T. (2017). Function and dysfunction of microglia during brain development: consequences for synapses and neural circuits. Front. Synaptic Neurosci. 9:9. doi: 10.3389/fnsyn.2017.00009

PubMed Abstract | CrossRef Full Text | Google Scholar

Papouin, T., Dunphy, J., Tolman, M., Foley, J. C., and Haydon, P. G. (2017). Astrocytic control of synaptic function. Philos. Trans. R. Soc. Lond. B Biol. Sci. 372:20160154. doi: 10.1098/rstb.2016.0154

PubMed Abstract | CrossRef Full Text | Google Scholar

Petralia, R. S., Rubio, M. E., Wang, Y. X., and Wenthold, R. J. (2000). Differential distribution of glutamate receptors in the cochlear nuclei. Hear. Res. 147, 59–69. doi: 10.1016/s0378-5955(00)00120-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Petralia, R. S., Wang, Y. X., Zhao, H. M., and Wenthold, R. J. (1996). Ionotropic and metabotropic glutamate receptors show unique postsynaptic, presynaptic, and glial localizations in the dorsal cochlear nucleus. J. Comp. Neurol. 372, 356–383. doi: 10.1002/(sici)1096-9861(19960826)372:3<356::aid-cne3>3.3.co;2-#

PubMed Abstract | CrossRef Full Text | Google Scholar

Pfrieger, F. W., and Barres, B. A. (1996). New views on synapse-glia interactions. Curr. Opin. Neurobiol. 6, 615–621. doi: 10.1016/s0959-4388(96)80093-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Ramsey, M. M., Adams, M. M., Ariwodola, O. J., Sonntag, W. E., and Weiner, J. L. (2005). Functional characterization of des-IGF-1 action at excitatory synapses in the CA1 region of rat hippocampus. J. Neurophysiol. 94, 247–254. doi: 10.1152/jn.00768.2004

PubMed Abstract | CrossRef Full Text | Google Scholar

Rashid, A. J., Cole, C. J., and Josselyn, S. A. (2014). Emerging roles for MEF2 transcription factors in memory. Genes Brain Behav. 13, 118–125. doi: 10.1111/gbb.12058

PubMed Abstract | CrossRef Full Text | Google Scholar

Rasmussen, S., Wang, Y., Kivisäkk, P., Bronson, R. T., Meyer, M., Imitola, J., et al. (2007). Persistent activation of microglia is associated with neuronal dysfunction of callosal projecting pathways and multiple sclerosis-like lesions in relapsing—remitting experimental autoimmune encephalomyelitis. Brain 130, 2816–2829. doi: 10.1093/brain/awm219

PubMed Abstract | CrossRef Full Text | Google Scholar

Rebillard, G., Ruel, J., Nouvian, R., Saleh, H., Pujol, R., Dehnes, Y., et al. (2003). Glutamate transporters in the guinea-pig cochlea: partial mRNA sequences, cellular expression and functional implications. Eur. J. Neurosci. 17, 83–92. doi: 10.1046/j.1460-9568.2003.02429.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Ricci, G., Volpi, L., Pasquali, L., Petrozzi, L., and Siciliano, G. (2009). Astrocyte-neuron interactions in neurological disorders. J. Biol. Phys. 35, 317–336. doi: 10.1007/s10867-009-9157-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Riquelme, R., Cediel, R., Contreras, J., la Rosa Lourdes, R. D., Murillo-Cuesta, S., Hernandez-Sanchez, C., et al. (2010). A comparative study of age-related hearing loss in wild type and insulin-like growth factor I deficient mice. Front. Neuroanat. 4:27. doi: 10.3389/fnana.2010.00027

CrossRef Full Text | Google Scholar

Rothstein, J. D. (1996). Excitotoxicity hypothesis. Neurology 47, S19–S25; discussion S26. doi: 10.1212/wnl.47.4_suppl_2.19s

PubMed Abstract | CrossRef Full Text | Google Scholar

Ruffle, R. A., Mapley, A. C., Malik, M. K., Labruzzo, S. V., Chabla, J. M., Jose, R., et al. (2006). Distribution of constitutively expressed MEF-2A in adult rat and human nervous systems. Synapse 59, 513–520. doi: 10.1002/syn.20266

PubMed Abstract | CrossRef Full Text | Google Scholar

Ryugo, D. K., and Willard, F. H. (1985). The dorsal cochlear nucleus of the mouse: a light microscopic analysis of neurons that project to the inferior colliculus. J. Comp. Neurol. 242, 381–396. doi: 10.1002/cne.902420307

PubMed Abstract | CrossRef Full Text | Google Scholar

Sanchez-Calderon, H., Rodriguez-de la Rosa, L., Milo, M., Pichel, J. G., Holley, M., and Varela-Nieto, I. (2010). RNA microarray analysis in prenatal mouse cochlea reveals novel IGF-I target genes: implication of MEF2 and FOXM1 transcription factors. PLoS One 5:e8699. doi: 10.1371/journal.pone.0008699

PubMed Abstract | CrossRef Full Text | Google Scholar

Sasaki, Y., Ohsawa, K., Kanazawa, H., Kohsaka, S., and Imai, Y. (2001). Iba1 is an actin-cross-linking protein in macrophages/microglia. Biochem. Biophys. Res. Commun. 286, 292–297. doi: 10.1006/bbrc.2001.5388

PubMed Abstract | CrossRef Full Text | Google Scholar

Schmitt, A., Asan, E., Püschel, B., and Kugler, P. (1997). Cellular and regional distribution of the glutamate transporter GLAST in the CNS of rats: nonradioactive in situ hybridization and comparative immunocytochemistry. J. Neurosci. 17, 1–10. doi: 10.1523/JNEUROSCI.17-01-00001.1997

PubMed Abstract | CrossRef Full Text | Google Scholar

Schneider, C. A., Rasband, W. S., and Eliceiri, K. W. (2012). NIH Image to ImageJ: 25 years of image analysis. Nat. Methods 9, 671–675. doi: 10.1038/nmeth.2089

PubMed Abstract | CrossRef Full Text | Google Scholar

Slezak, M., Pfrieger, F. W., and Soltys, Z. (2006). Synaptic plasticity, astrocytes and morphological homeostasis. J. Physiol. Paris 99, 84–91. doi: 10.1016/j.jphysparis.2005.12.082

PubMed Abstract | CrossRef Full Text | Google Scholar

Sofroniew, M. V., and Vinters, H. V. (2010). Astrocytes: biology and pathology. Acta Neuropathol. 119, 7–35. doi: 10.1007/s00401-009-0619-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Soni, N., Reddy, B. V. K., and Kumar, P. (2014). GLT-1 transporter: an effective pharmacological target for various neurological disorders. Pharmacol. Biochem. Behav. 127, 70–81. doi: 10.1016/j.pbb.2014.10.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Trejo, J. L., Piriz, J., Llorens-Martin, M. V., Fernandez, A. M., Bolós, M., LeRoith, D., et al. (2007). Central actions of liver-derived insulin-like growth factor I underlying its pro-cognitive effects. Mol. Psychiatry 12, 1118–1128. doi: 10.1038/sj.mp.4002076

PubMed Abstract | CrossRef Full Text | Google Scholar

Turlejski, T., Humoud, I., Desai, R., Smith, K. J., and Marina, N. (2016). Immunohistochemical evidence of tissue hypoxia and astrogliosis in the rostral ventrolateral medulla of spontaneously hypertensive rats. Brain Res. 1650, 178–183. doi: 10.1016/j.brainres.2016.09.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Ullian, E. M., Christopherson, K. S., and Barres, B. A. (2004). Role for glia in synaptogenesis. Glia 47, 209–216. doi: 10.1002/glia.20082

PubMed Abstract | CrossRef Full Text | Google Scholar

Ullian, E. M., Sapperstein, S. K., Christopherson, K. S., and Barres, B. A. (2001). Control of synapse number by glia. Science 291, 657–661. doi: 10.1126/science.291.5504.657

PubMed Abstract | CrossRef Full Text | Google Scholar

Varela-Nieto, I., Murillo-Cuesta, S., Rodríguez-de la Rosa, L., Lassatetta, L., and Contreras, J. (2013). IGF-I deficiency and hearing loss: molecular clues and clinical implications. Pediatr. Endocrinol. Rev. 10, 460–472. Available on line at: http://www.pediatricendoreviews.com/#!volume-104/c12kb

PubMed Abstract | Google Scholar

Verkhratsky, A., Sofroniew, M. V., Messing, A., deLanerolle, N. C., Rempe, D., Rodríguez, J. J., et al. (2012). Neurological diseases as primary gliopathies: a reassessment of neurocentrism. ASN Neuro 4:e00082. doi: 10.1042/an20120010

PubMed Abstract | CrossRef Full Text | Google Scholar

Villacampa, P., Ribera, A., Motas, S., Ramírez, L., García, M., de la Villa, P., et al. (2013). Insulin-like growth factor I (IGF-I)-induced chronic gliosis and retinal stress lead to neurodegeneration in a mouse model of retinopathy. J. Biol. Chem. 288, 17631–17642. doi: 10.1074/jbc.m113.468819

PubMed Abstract | CrossRef Full Text | Google Scholar

Villalba, R. M., and Smith, Y. (2011). Neuroglial plasticity at striatal glutamatergic synapses in Parkinson’s disease. Front. Syst. Neurosci. 5:68. doi: 10.3389/fnsys.2011.00068

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, Y.-F., and Parpura, V. (2018). Astroglial modulation of hydromineral balance and cerebral edema. Front. Mol. Neurosci. 11:204. doi: 10.3389/fnmol.2018.00204

PubMed Abstract | CrossRef Full Text | Google Scholar

Webster, D. B., and Trune, D. R. (1982). Cochlear nuclear complex of mice. Am. J. Anat. 163, 103–130. doi: 10.1002/aja.1001630202

PubMed Abstract | CrossRef Full Text | Google Scholar

Wolf, S. A., Boddeke, H. W. G. M., and Kettenmann, H. (2017). Microglia in physiology and disease. Annu. Rev. Physiol. 79, 619–643. doi: 10.1146/annurev-physiol-022516-034406

PubMed Abstract | CrossRef Full Text | Google Scholar

Wright, D. D., Blackstone, C. D., Huganir, R. L., and Ryugo, D. K. (1996). Immunocytochemical localization of the mGluR1 α metabotropic glutamate receptor in the dorsal cochlear nucleus. J. Comp. Neurol. 364, 729–745. doi: 10.1002/(sici)1096-9861(19960122)364:4<729::aid-cne10>3.0.co;2-k

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, Y., Dissing-Olesen, L., MacVicar, B. A., and Stevens, B. (2015). Microglia: dynamic mediators of synapse development and plasticity. Trends Immunol. 36, 605–613. doi: 10.1016/j.it.2015.08.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Xing, C., Yin, Y., Chang, R., Gong, X., He, X., and Xie, Z. (2007). Effects of insulin-like growth factor 1 on synaptic excitability in cultured rat hippocampal neurons. Exp. Neurol. 205, 222–229. doi: 10.1016/j.expneurol.2007.01.029

PubMed Abstract | CrossRef Full Text | Google Scholar

Xu, Y. H., Sattler, G. L., Edwards, H., and Pitot, H. C. (2000). Nuclear-labeling index analysis (NLIA), a software package used to perform accurate automation of cell nuclear-labeling index analysis on immunohistochemically stained rat liver samples. Comput. Methods Programs Biomed. 63, 55–70. doi: 10.1016/s0169-2607(00)00075-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Yamahara, K., Yamamoto, N., Nakagawa, T., and Ito, J. (2015). Insulin-like growth factor 1: a novel treatment for the protection or regeneration of cochlear hair cells. Hear. Res. 330, 2–9. doi: 10.1016/j.heares.2015.04.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, J. (2004). Glutamate transporter cluster formation in astrocytic processes regulates glutamate uptake activity. J. Neurosci. 24, 6301–6306. doi: 10.1523/JNEUROSCI.1404-04.2004

PubMed Abstract | CrossRef Full Text | Google Scholar