Abstract
Neuronal origins of behavioral disorders have been examined for decades to construct frameworks for understanding psychiatric diseases and developing useful therapeutic strategies with clinical application. Despite abundant anecdotal evidence for white matter etiologies, including altered tractography in neuroimaging and diminished oligodendrocyte-specific gene expression in autopsy studies, mechanistic data demonstrating that dysfunctional myelin sheaths can cause behavioral deficits and perturb neurotransmitter biochemistry have not been forthcoming. At least in part, this impasse stems from difficulties in identifying model systems free of degenerative pathology to enable unambiguous assessment of neuron biology and behavior in a background of myelin dysfunction. Herein we examine myelin mutant mice lacking expression of the Claudin11 gene in oligodendrocytes and characterize two behavioral endophenotypes: perturbed auditory processing and reduced anxiety/avoidance. Importantly, these behaviors are associated with increased transmission time along myelinated fibers as well as glutamate and GABA neurotransmitter imbalances in auditory brainstem and amygdala, in the absence of neurodegeneration. Thus, our findings broaden the etiology of neuropsychiatric disease to include dysfunctional myelin, and identify a preclinical model for the development of novel disease-modifying therapies.
Introduction
The disconnection hypothesis developed by Carl Friston1 to account for the symptomatology of schizophrenia posits that aberrant behavior stems from disrupted communication between distributed neural circuits. An evolutionarily conserved feature of such networks is their organization into iterative feed forward-feedback loops, which process and integrate novel sensory information with existing engrams in increasingly extensive and parallel pathways. Signal processing eventually culminates in network refinement and yields specific, directed behavioral responses to stimuli2. Arguably, departures from normal behavior tend to emerge when sensory information is partially lost, discombobulated or temporally displaced.
To understand mechanisms underlying behavioral abnormalities in the context of the Friston hypothesis, most studies investigate neuron-specific etiologies, such as neurotransmitter imbalances, aberrant neurogenesis and other forms of disrupted neuron biology. On the one hand, associations between neurotransmitters and neurologic disease arose early from the recognition of structural similarities between serotonin and ergot alkaloids, which cause mental disturbances3. On the other hand, abnormal neuron biology arising during development or from injury, can alter signal processing/integration4–8. For example, precocious neuronal connectivity or supernumerary synapses are thought to underlie behavioral phenotypes in autism and epilepsy9–13.
Human and animal studies have documented neurochemical changes associated with behavioral phenotypes including anxiety, depression and neuropsychiatric illnesses14–21. Moreover, these studies have led to the current pharmacotherapeutic framework for developing disease-modifying therapies that restore neurotransmitter homeostasis22–27. Yet despite a plethora of marketed drugs, substantial numbers of medicated patients suffer breakthrough symptoms and additional serious side effects28. While there may be simple reasons for these negative patient outcomes, it is also possible that our present understanding of behavioral diseases should be broadened to consider additional etiologies.
In this regard, the inclusion of myelin dysfunction as an etiology of psychiatric disorders has been proposed for decades as a disconnection syndrome29–32 and the clinical literature is replete with studies of patients with white matter diseases, leukodystrophies and multiple sclerosis (MS), exhibiting neuropsychiatric symptoms33–38. While few investigators would disavow the importance of myelin for signal coherence and temporal connectivity in neural circuits, consideration of white matter dysfunction as an etiology for psychiatric diseases is routinely discounted in favor of the widely-accepted pharmacotherapeutic framework.
Perhaps the crux of a broader understanding of psychiatric etiologies is an appreciation of the intimate relationships between cells in the CNS; for example, damage to oligodendrocytes or other glial cells invariably leads to neuronal damage which causes abnormal behavior39,40. Ultimately, consideration of myelin dysfunction as a direct cause of behavioral changes is difficult without model systems in which myelin dysfunction arises in the absence of detectable neuronal injury or loss. To this end, we investigate loss-of-function behavioral phenotypes in Claudin11 (Cldn11) knockout mice, which fail to assemble tight junctions in CNS myelin.
Previously, we demonstrated the molecular function of claudin 11 in CNS. The absence of this protein alters myelin passive properties in the absence of neurodegeneration41–45. Herein, we report that Cldn11-null (Cldn11−/−) mice exhibit central auditory deficits, reduced anxiety-like behavior and neurotransmitter imbalances; glutamate in the brainstem and GABA in the amygdala/ventral hippocampus. Together, these data not only facilitate assessment of myelin dysfunction as an etiology for behavioral disease, but also highlight complex abnormalities arising from a monogenic defect. In this regard, Cldn11−/− mice may exemplify a multimodal phenotype in distributed brain regions that is refractory to simple monotherapies aimed at restoring GABA or glutamate neurotransmitter homeostasis.
Materials and Methods
The datasets and methods used during and/or analyzed during the current study are available from the corresponding author on reasonable request. The numbers of mice used for quantitative measurements are included in the figure legends. Qualitative data shown in the figures are representative of the data we use for quantitation.
Approvals and study design
The Department of Laboratory and Animal Resources at Wayne State University oversaw the husbandry of mice in this study. All experiments were performed in accordance with an Institutional Animal Care and Use Committee protocol approved by the Wayne State University Animal Investigation Committee (A 04-02-09; A 03-01-12; A 01-11-15). Mice were maintained on a 12 h light/dark cycle (on at 06:00) with standard rodent chow and water available ad libitum. Transgenic mice [Tg+; Tg(Cldn11)605Gow; MGI:5306245] as previously described46 were crossed with Cldn11−/− mice.
Transgene generation and mouse husbandry
Generation of a 20 kilobase mouse Cldn11 genomic transgene [Tg+; Tg(Cldn11)605Gow; MGI:5306245], comprising 5 kb upstream of the transcription start site to 1.9 kb downstream of the first polyadenylation site in exon 3, was previously described46. The genomic fragment was cloned between two Not I sites in a pUC18 – based vector, excised and phenol:chloroform-purified from an agarose gel for male pronuclear injection47. Initial characterization of the transgene was performed using 6 independent lines (#5, 8, 9–12). Double mutant Cldn11+/−::Tg(Cldn11)605GowTg/+ (Cldn11+/−::Tg+/−) mice were generated for each line by breeding to Cldn11−/− females and thereafter sib-mated to generate Cldn11−/−::Tg+/− and Cldn11+/−::Tg+/− mice for characterization. Line #12 was selected for characterization in the current study. Mice were genotyped from toe/tail biopsies digested overnight in 0.5 mg/ml proteinase K (Sigma, St Louis, MO) in DirectPCR (Viagen, Los Angeles, CA) per the manufacturer recommendations. To genotype the endogenous Cldn11 gene, we used a standard PCR protocol with primers 5′-GTCGCAGCAGTGCTCGCAGCCGCTC-3′, 5′-GTCCTTACCTGGAAGGATGAGGATG-3′ and 5′-ATGTGCTGCAAGGCGATTAAGTTGG-3′. To genotype the Tg(Cldn11)605Gow allele, quantitative PCR (StepOne cycler, Thermo Fisher) was used to determine copy number using the following primers: 5′-ACATGGTGGGAAATCATATACACTATTGTTAA-3′ and 5′-ACTGGAGTGTCTCTTTGGTCGATTA-3′ and TaqMan probes 5′-CAGGTACGTACCCAAGC-3′ and 5′-TCCCAGGTACCCAAGC-3′ (Thermo Fisher).
Behavioral tests
Mice were habituated to the experimental room 1 h prior to all behavioral tests. Behavioral tests were conducted between 0600–0900. For open field testing, a 61 × 61 × 31 cm black matted Plexiglas arena (Formtech Plastics, Oak Park, MI) was used. On two consecutive days, mice were placed in the center of the arena and video recorded for 5 min. Videos were analyzed post-hoc using Ethovision software (version 8.5, Noldus, Leesburg, VA) and all data values averaged across both days of testing. Center square percentages were derived from average mouse body length distances from the edges of the arena: 0.5 body lengths, the center square is 83% of total arena area; 1, 66%; 1.5, 48%; and 2, 32%. Marble burying tests were carried out as previously described48 using 15 marbles in a 3 × 5 grid pattern. At the end of 30 min, marbles buried 2/3 of the way with bedding were tallied. Tail suspension was carried out for 6 min following previously published methods49 excluding white noise. Videos were manually scored by a blinded reviewer for the amount of time spent immobile.
Antibodies
The antibodies used in this study were: Rb anti-NF-L (Cell Signaling, Danvers, MA); Ms anti-MBP (Sternberger, Covance, Princeton, NJ); Rb anti-Calbindin D28K (Sigma); Ms anti-claudin 11 (clone 37E3)41; Rb anti-connexin 26 (Zymed, Thermo Fisher, Waltham, MA); Gt anti-MsIgG1 Alexa488 (Molecular Probes, Eugene, OR); Gt anti-MsIgG2b Alexa488 (Molecular Probes); Gt anti-RbIgG Alexa568 (Molecular Probes); Gt anti-MsIgG1 Alexa568 (Molecular Probes). Nuclei were labeled with DAPI (4′6′-diamidino-2-phenylindole, Sigma).
Cryostat sectioning
Adult Cldn11−/−::Tg+/− mice were injected i.p. with 400 mg/kg avertin, and monitored for the absence of pain reflexes, signifying deep anesthesia. The chest cavity was exposed and mice were perfused transcardially with 4% PFA in 0.1 M phosphate buffer pH for 15 min. Brains were dissected and placed in 25% sucrose in PBS overnight at 4 °C. The sucrose solution was exchanged the following morning, and after 6 h the brains were removed from the sucrose solution, blotted dry, placed in a plastic cryomold (Tissue-tek Andwin Scientific, Schaumburg, IL), covered with OCT (Andwin Scientific) and frozen in a 2-methyl butane (Thermo Fisher, Waltham, MA)/dry ice slurry and stored at −80 °C.
Tissue blocks were cut into 10 µm sections using a cryostat at −20 °C (Shandon Electric Cyrotome, Thermo Fisher) and every fifth section (50 µm) was thaw-mounted on Superfrost slides (Thermo Fisher) and stored at −80 °C for subsequent immunolabeling. To quantify the extent of myelination for trapezoid body fibers, sagittal sections were cut between the midline and the medial nucleus of the trapezoid body (MNTB) principal neuron cell bodies in the calyx of Held (Fig. 1; decussating, presynaptic afferents from the contralateral cochlear nucleus, 1 section/mouse), as well as within the calyx of Held (synapsing principal cells, 3 sections/mouse spaced 50 µm apart). Sectioning and immunofluorescence staining of the lateral wall of the cochlear duct is previously described42.
Immunofluorescence labeling
Slides were thawed from −80 °C in PBS for 5 min and permeabilized with methanol (Thermo Fisher) for 20 min at 4 °C. After washing in PBS, slides were blocked in 2% goat serum/TBSGBA for 1 h. Primary antibodies NF-L (Cell Signaling) and MBP (Sternberger, Covance) in block solution were incubated over night at room temperature with rocking. Slides were washed with PBS, incubated with secondary antibodies conjugated to Alexa586 and Alexa488 (Molecular Probes) and DAPI (Sigma) for 3 h at room temperature, and mounted in Vectashield (Vector Laboratories, Burlingame, CA). Transversely-sectioned axons were considered myelinated when neurofilament staining was circumscribed by MBP (≥270°). Images were assembled using Photoshop CS6 (Adobe Systems, San Jose, CA).
Auditory fiber tract tracing
Tract tracing was performed using published methods with minor variations50. Briefly, mice were perfused with 10 ml of freshly oxygenated artificial cerebral spinal fluid (aCSF: 126 mM NaCl, 3 mM KCl, 2 mM CaCl2, 2 mM MgSO4, 1.25 mM NaH2PO4, 26 mM NaHCO3, 10 mM dextrose, pH 7.4), the brains dissected and cut into 2 mm coronal sections (see Supplementary Methods).
Auditory brainstem slices were bathed in carbox-aCSF for microinjection under a stereomicroscope (Leica, Solms, Germany). Needle tips were inserted 0.2–0.8 mm below the surface of the tissue and 30 nl of Alexa488-Dextran (Molecular Probes) was injected into target nuclei or fiber tracts. The dye was injected unilaterally in 1–3 bolus deposits for labeling of connections between the cochlear nucleus and either MNTB or LSO. After 4–6 h incubation in carbox-aCSF at room temperature, the tissue slices were fixed overnight with 4% paraformaldehyde (Sigma). Vibratome sections (70 µm) were cut (Vibratome Series 1000 Plus) and labeled with anti-Calbindin D28K antibodies (Sigma) at 4 °C and mounted in Vectashield (Vector Laboratories). Dextran-labeled fibers from the cochlea nucleus that entered the contralateral MNTB were analyzed, as were ipsilateral dextran-labeled fibers entering the LSO.
Confocal imaging
Confocal fluorescence image stacks of dextran-labeled axons were captured using a Leica DM5500 microscope equipped with Plan Apo 20× and 40× dry lenses, Yokogawa spinning disk confocal using an Argon/He/Ne laser and a Hamamatsu Orca ER2 digital camera. Confocal image stacks were acquired using a 63× Plan Apo oil-immersion objective lens (n.a. = 1.4) in 0.2 µm increments through 70 µm vibratome sections. After collection, stacks were quantified using ImageJ software. The location of each fiber within a stack was determined and analyzed only if its entire length could be tracked with confidence. Mini stacks of these fibers were collapsed to single through-focus images. For ipsilateral fibers, 20–30 measurements of diameter were recorded at equidistant intervals for axons entering but not exiting the lateral superior olivary nucleus (LSO). To distinguish contralateral auditory fibers from pyramidal fibers, only axons attached to a calyx of Held were analyzed, and 20–30 equidistant measurements were recorded beginning 10 µm from the calyx. Average axon diameters (n ≥ 3 mice) used for histograms with binning = 0.2 µm and a Gaussian curve fit.
Auditory pathway neurophysiology
Monaural and binaural ABRs were acquired using two channel recordings with reference (inverting) subdermal mastoid electrodes (Grass, Natus Neurology, Middleton, WI) and a non-inverting vertex electrode42. Binaural interaction components were derived from binaural ABRs51. Mice were habituated to the experimental room 1 hr prior to testing; all auditory behavioral paradigms were conducted between 1300–1700. ABRs were acquired as previously described42 using 100,000× pre-amplification from 102 µs pure tone pips at 8, 16, or 32 kHz (Sepwin software version 5.1, Intelligent Hearing Systems, Miami, FL). Hearing thresholds were determined by identifying the lowest stimulus intensity in which wave I was identified.
Individual wave latencies were measured at the immediate right side of the crest for each waveform. Interpeak latencies were obtained by subtracting raw wave latencies to obtain total (waves V – I), central (waves V – II), and peripheral (waves II – I) interpeak latencies. Amplitude was measured by convention from wave maxima to the immediately following trough minima. Area under the curve was calculated by connecting the baselines drawn between the preceding and succeeding troughs.
Interaural level delays were recorded at 32 kHz (10–3,000 Hz band pass filter) using ABR stimulus parameters once a symmetrical hearing threshold of ≤40 dB SPL was confirmed. First, midline level delays were obtained by playing 70 dB SPL to the left ear alone, right ear alone, then simultaneously. Subsequently, left ear stimulus intensity was decreased to 68, 65, 60, 50, and 40 dB SPL in conjunction with or without a 70 dB SPL stimulus presented to the right ear. This process was reversed for decreasing stimuli to the right ear. Binaural ABR traces were post filtered 120–3,000 Hz to resolve waves IV and V for analysis.
All BIC traces were calculated by subtracting post-filtered left and right monaural ABR traces (μV weighted) from binaural ABR traces acquired from dichotic stimuli. For example, left ear BICs were derived by subtracting from the dichotic trace, the monaural right ipsilateral trace at 70 dB SPL and the monaural left ipsilateral trace at ≤70 dB SPL. This process was repeated for the right ear. All traces were post-filtered with predetermined high/low pass filters 10–500 Hz to optimize the interaction trough and reduce noise. Characteristics of the DN1 trough are used to determine the processed output from the superior olivary complex (SOC), which we verified to occur after the monaural signals arrived at the SOC (wave IV), but prior to signal generation at downstream nuclei (wave V).
High field magic angle proton magnetic resonance spectroscopy (1H-MRS)
Mice were decapitated and whole brains immediately removed and placed on an ice-cold coronal matrix (ASI, Warren, MI) to cut 2 mm thick coronal slices. The slices were frozen on a dry ice slab and specific nuclei were harvested bilaterally using 1.5 mm diameter disposable biopsy punches (Miltex, San Mateo, CA) and stored at −80 °C for neurochemistry. Punches were placed in a Bruker zirconium rotor (2.9 mm diameter, 10 µL capacity) inside a Bruker magic angle spinning probe maintained at 4 °C and rotated at 4.2 ± 0.002 kHz at 54.7° relative to the static B0 field as previously described52. The samples were analyzed from 128 scan averages in a vertical wide-bore (8.9 cm) Bruker 11.7 T magnet with an AVANCETM DRX-500 spectrometer (Bruker Biospin Corp., Billerica, MA) as previously described53. The neurochemicals quantified were: acetate, alanine, aspartate, betaine, creatine, choline, gamma-aminobutyric acid (GABA), glutamine (Gln), glutamate (Glu), glycerophosphocholine (GPC), glutathione, myo-inositol, lactate, N-acetylaspartate (NAA), N-acetylaspartate-glutmate (NAAG), phenylethylamine (PEA), phosphocholine, succinate and taurine.
Sampling details and statistics
For all experiments, mice were allocated to experimental groups by genotype based on rolling enrollment. For each experiment, mice were retrieved from WSU housing facilities and genotypes were masked by the investigator for experiments. Mice were manually selected at random. Sample sizes were predetermined, either from legacy pilot experiments or using sample sizes from our published studies or typical sample sizes from the literature.
Statistical analyses were performed using GraphPad Prism (version 5, La Jolla, CA) with the appropriate tests and significance values included in the figure legends. All statistical tests used were two-tailed and data are expressed as mean ± SEM with the number of independent observations, n, or the degrees of freedom indicated in the figure legends. QQ-plots demonstrating unimodal distributions of axon diameters in the SOC were generated using the ‘car’ package in RStudio (version 1.1.414)54. Dashed lines indicate the 95% confidence envelope obtained by parametric bootstrapping.
Data availability
Reagents, mouse mutants and datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.
Results
In previous studies, we and others have characterized functions of claudin 11 tight junctions in three cell types: Sertoli cells in testis, basal cells in the Stria vascularis of the cochlea and myelin sheaths in the CNS41–43,45,55–57. Global knockout of the Cldn11 gene has significant consequences in adult mice; Sertoli cells fail to support sperm maturation and basal cells fail to generate an endocochlear potential. In the CNS, multilamellar myelin sheaths lack the mesaxon, paranode and outer lamella tight junctions that circumscribe the intramyelinic compartment41,45, thereby increasing the vulnerability of compact myelin to electrochemical gradients and lowering membrane resistance. This vulnerability increases transmission time in a manner inversely proportional to axon caliber43,44.
A likely consequence of changes to the passive properties of compact myelin would be temporal dispersion of encoded signals. For signals converging on integration nuclei from multiple white matter tracts, temporal dispersion could distort information processing when the afferent axons are of different calibers, potentially giving rise to behavioral phenotypes. Importantly, we do not detect changes in myelin thickness, g-ratio, structural stability, or evidence of axon loss41,43,45; thus, we can interpret abnormal behavior in Cldn11−/− mice in terms of temporal dispersion/signal loss and incomplete network refinement rather than degenerative pathology in neurons58.
In this light, we postulated that behavioral deficits might arise when signal transmission to integration/processing nuclei depend on large and small caliber myelinated afferents. We tested this hypothesis in the spatially-restricted circuit of the superior olivary complex (SOC), which plays a major role in integrating auditory signals from the left and right ears in mammals59,60. The SOC is a group of ventral bilateral nuclei in the brainstem with limited neural plasticity in adulthood, including the medial nucleus of the trapezoid body (MNTB), the medial superior olivary nucleus (MSO, a minor nucleus in mice) and the lateral superior olivary nucleus (LSO).
The Tg(Cldn11)605Gow transgene restores peripheral hearing
A major barrier to studying the auditory pathway in global Cldn11−/− mice is the profound deafness emerging by 2 months of age42. Accordingly, we generated a genomic Cldn11 transgene (Supplementary Fig. S1, Tg+/−) to rescue loss-of-function phenotypes in Cldn11−/− mice. This transgene is expressed in Sertoli cells and cochlea basal cells. Confocal micrographs from the cochlea lateral wall of Cldn11−/−::Tg+/− mice show transgene expression in basal cells that is indistinguishable from endogenous claudin 11 expression. Expression patterns for most of the other transgenic lines are similar. Transgene expression in wild type mice does not affect hearing thresholds or ABR wave latencies, demonstrating that several-fold supernormal expression of claudin 1146 is not detrimental to basal cells or cochlear function.
Crossing the Tg(Cldn11)605Gow transgene into the Cldn11−/− background rescues hearing thresholds, as determined by pure tone ABRs at 8, 16 and 32 kHz in 4/6 transgene lines (lines #5, 8, 11 and 12; Supplementary Fig. S2), and confers normal outer hair cell function (DPOAEs). Transgenic lines #9 and #10 do not rescue hearing thresholds in Cldn11−/−::Tg+/− mice, which remain similar to littermate Cldn11−/− mice. We demonstrated low transgene expression in these two lines46, which likely also account for unabated deafness in the current study.
Despite rescuing peripheral deafness in Cldn11−/− mice by 4/6 transgenic lines, the sensorineural phenotype of increased ABR wave V latency42 is undiminished and suggests that Tg(Cldn11)605Gow is not expressed in the CNS (Supplementary Fig. S3). Thus, the link between the two auditory deficits can be uncoupled, with the latter being caused by loss-of-function in CNS myelin41,43,44. To characterize this uncoupling and explore potential CNS phenotypes, we characterized Cldn11−/− mice bred with Tg(Cldn11)605Gow line #12 transgenic mice (Cldn11−/−::Tg+/−) for comparison with littermate controls (Cldn11+/−::Tg+/−).
The Tg(Cldn11)605Gow transgene is not expressed in the CNS
Similar to many genes, Cldn11 harbors multiple enhancers in different locations of the gene that regulate cell type-specific expression. For example, putative Klf1/Gata and Pou3f4 enhancers approximately 1 kb and 4.8 kb (respectively) upstream of exon 1 appear to regulate expression in Sertoli cells and cochlear basal cells (A.G., unpublished)46,61. Both enhancers are within the Tg(Cldn11)605Gow transgene comprising 5.5 kb of upstream sequence.
Using transient transgenic mice, we have identified a major enhancer in proximity to exon 3 that drives robust expression of Cldn11 in oligodendrocytes (Supplementary Fig. S4). Further, we demonstrate that the Tg(Cldn11)605Gow transgene is not expressed in brain at the levels of RNA or protein, which suggests the oligodendrocyte enhancer in the endogenous Cldn11 gene is downstream of exon 3 [beyond the 3′ extent of Tg(Cldn11)605Gow]. Indeed, the Peterson lab62 have characterized a 631 bp enhancer located 2 kb downstream of exon 3 that is homologous to a conserved transcriptional regulatory network for oligodendrocyte myelin gene expression. Together, our data show the Tg(Cldn11)605Gow transgene rescues deafness and male infertility in Cldn11−/− mice, but is not expressed by oligodendrocytes. Thus, it is likely that transgene expression neither alters CNS myelin properties characterized in Cldn11−/− mice nor rescues brain-associated phenotypes.
Small and large myelinated axons in mouse auditory brainstem
The auditory pathway below the inferior colliculus is a precisely-timed neural circuit that is convenient for neuroanatomical and electrophysiological analyses and has been characterized in extraordinary detail. Most of the prominent brainstem nuclei from the cochlear nucleus to the SOC can be visualized in a single coronal brain slice with antibodies against the calbindin D28K protein (Fig. 1A). Major fiber tracts connecting these nuclei are shown schematically in Fig. 1B.
To ensure reliable signal dissemination (temporal fidelity) and rapid propagation speed, auditory brainstem fibers in most mammals are myelinated63,64. We confirmed this general feature in trapezoid body fibers (Fig. 1B), which connect the cochlear nucleus to the MNTB. Sagittal sections of this tract were labeled with antibodies against neurofilament to show axons and myelin basic protein for myelin sheaths (Fig. 2A). Small and large diameter axons are interspersed within the fiber bundles and we conservatively estimate 98.7% of the axons are myelinated in both control (Fig. 2Ba) and Cldn11−/−::Tg+/− (Fig. 2Bb) mice.
The diameters of myelinated fibers in the auditory brainstem have been measured in birds and several mammalian species64–68. We used fluorodextran tract labeling of fibers between the cochlear nuclei and the SOC (Fig. 3A) to locate globular bushy cell axons from the anterioventral cochlear nucleus (AVCN) forming contralateral connections with MNTB principal cells at the calyx of Held synapse69,70. Axon diameter measurements of 59 contralateral axons from wild type mice approximate a normal distribution (Fig. 3B), with an average diameter of 3.3 ± 0.07 μm (n = 3), and coincide with recently published values66.
Conversely, spherical bushy cell axons from the AVCN form ipsilateral connections with the principal cells in the LSO (Fig. 3C). Measurements of 73 axons from wild type mice are also normally distributed (Fig. 3D) with an average diameter of 0.9 ± 0.03 μm (n = 5). Together, these data indicate that ipsilateral fibers are 3.7-fold smaller in diameter than contralateral fibers and transmission time will be disproportionately affected by the absence of claudin 1144. Indeed, we estimate transmission time along contralateral fibers of Cldn11−/−::Tg+/− mice should increase approximately 20% compared to controls; however, the increases along ipsilateral fibers would likely exceed 40%.
Abnormal monaural ABRs
To extend our earlier analyses of the Tg(Cldn11)605Gow transgene (Supplementary Figs S1–3), we began by confirming the monaural ABR phenotype of Cldn11−/−::Tg+/− mice using 32 kHz pure tone stimuli (Fig. 4A,B). Several hallmark ABR features are apparent. First, five characteristic peaks and troughs are evoked from peripheral and central signal generators71,72, beginning with wave I at 1.5–2 ms post stimulus and subsequent waves at approximately 1 ms intervals thereafter (16 and 8 kHz data are similar, Fig. 4C,D). Second, wave latencies are inversely proportional to stimulus intensity. Finally, hearing thresholds of Cldn11+/−::Tg+/− mice and Cldn11−/−::Tg+/− mice are indistinguishable (Supplementary Fig. S5), indicating the transgene rescues the peripheral deafness phenotype42.
Auditory thresholds notwithstanding, the ABR wave V latency in Cldn11−/−::Tg+/− mice is abnormal, with an approximate 1 ms increase at all auditory stimulus intensities (Fig. 4B). In contrast, latencies for waves I – IV are comparable between controls and Cldn11−/−::Tg+/− mice, which is expected because the contralateral pathway – from the cochlear nucleus to the LSO – is dominated by large caliber fibers that are only modestly impacted by the absence of claudin 11 (Table 1); 8th nerve fibers are similarly large. For the longest axons in the contralateral pathway (AVCN → MNTB), average waves III – II interpeak latencies interpolated for 60 dB SPL from the latency-intensity regression curves in Fig. 4Bc are 1.06 ± 0.08 ms (Cldn11+/−::Tg+/−) and 1.06 ± 0.07 ms (Cldn11−/−::Tg+/−). These latencies are not statistically different (tdf=20, = 0.01, p = 0.99); however, we have only 50% power to detect the 70 µs increase in transmission time estimated for Cldn11−/−::Tg+/− mice in (Table 1). Despite this limitation, our data preclude several explanations for wave V latency shifts in Cldn11−/−::Tg+/− mice such as stimulus artifacts, systemic latency shifts (Supplementary Fig. S5) or degenerative changes in the mutants. Rather, our data are consistent with significantly increased transmission times along small myelinated axons between the AVCN and ipsilateral LSO43,44,73.
Table 1.
AVCN → MNTBa | MNTB → LSOa | AVCN → LSOb | |
---|---|---|---|
Adult myelinated fiber tract lengths (mm)89 | 4.2 | 0.92 | 2.2 |
Average axon diameters (µm) | 3.3 | ~268 | 0.92 |
Est. transmission times, Cldn11+/−::Tg+/− (µs) 43,44 | 280 | 95 | 430 |
Est. transmission times, Cldn11−/−::Tg+/− (µs) 43,44 | 350 | 130 | 710 |
∆ transmission times for Cldn11 −/− ::Tg +/− (µs) | + 70 | + 35 | + 280 |
aContralateral pathway from the AVCN → MNTB → LSO.
bIpsilateral pathway from the AVCN → LSO.
Abnormal binaural ABRs
In mice, wave V is associated with myelinated principal cells between the SOC and inferior colliculus73. The origin of wave V abnormalities in Cldn11−/−::Tg+/− mice is likely the SOC because this cluster of nuclei forms a major integration site for signals from the left and right ears74,75. Further, our fiber tract analysis shows small and large diameter myelinated fibers converging on the LSO (Fig. 3). Thus, we hypothesized that axon diameter-dependent increases in transmission time along these ipsilateral and contralateral pathways cause abnormal signal processing in the mutants and we examined signal integration and output in greater detail using binaural ABRs associated with interaural level difference measurements at the LSO.
The morphology of binaural ABRs are similar for each genotype and similar to monaural ABRs, although relative wave amplitudes differ and the latencies of all waves are increased by approximately 500 µs (Fig. 5A). However, detailed analysis of waves IV and V from Cldn11−/−::Tg+/− mice reveals several abnormalities. First, the amplitudes are significantly lower than controls (Fig. 5Bd,g), suggesting temporal dispersion in the LSO. Second, the widths are increased (Fig. 5Be,h), which indicates greater temporal dispersion (loss of synchrony) of action potentials. Finally, the areas under waves IV and V are reduced (Fig. 5Bf,i), which suggests overall diminished recruitment of LSO neurons, despite normal activity at the MNTB (Fig. 5Ba–c) wherein wave III amplitudes, widths and areas are comparable to controls. Together, these data indicate that binaural ABRs are superior to monaural ABRs for detecting central auditory deficits and that the SOC and associated ABR waves IV and V are abnormal in Cldn11−/−::Tg+/− mice.
Sound lateralization deficit
The deficits we observe in LSO neurophysiology from Cldn11−/−::Tg+/− mice rouse expectations that a major function of this nucleus is compromised. To investigate further, we derived binaural interaction components (BICs) from the binaural ABRs between waves IV and V, which reflect signal processing in the LSO. Overall, BICs for control and Cldn11−/−::Tg+/− mice (Fig. 6A) are similar. Two major troughs are present in all ∆ dB SPL traces, the second of which is between the latencies of ABR waves IV and V and is designated the DN1 peak (Fig. 6B).
Nevertheless, there are several differences. First, DN1 latencies are larger for the mutants (Fig. 6B) which is consistent with ABR wave V latencies (Figs 4 and 5). Second, DN1 latencies in controls are proportional to stimulus intensity differences between the two ears as previously reported51,76, while the mutant DN1 latencies are independent of ∆ dB SPL (Fig. 6C). The final difference is the larger amplitudes for the controls, measured from DN1 minima to DN1’ maxima.
In similar vein to the smaller areas under binaural ABR waves IV and V from Cldn11−/−::Tg+/− mice, we would expect smaller DN1 amplitudes; unfortunately, the amplitudes are unexpectedly variable for both genotypes and the data yield no interpretable results. Our analysis of DN1 latencies is consistent with previous reports77,78 and indicate that lateralizing sound sources in wild type mice increases BIC latencies. This does not occur in Cldn11−/−::Tg+/− mice, which reveals an abnormality that would likely distort perception of the auditory field and perturb behavioral responses to stimuli.
Altered neurochemistry in the SOC
In light of this presumptive behavioral phenotype, we used 1H-MRS to examine auditory brainstem neurochemistry and determine if the increased transmission time41–44 of ipsilateral fibers might also be associated with altered neurotransmitter levels. Brain slice stereotactic coordinates show the locations of bilateral tissue punches analyzed from 2 and 7 month old (2 and 7 M) Cldn11+/−::Tg+/− and Cldn11−/−::Tg+/− mice (Fig. 7A). Neurotransmitters in the adult auditory brainstem are dominated by glutamate and glycine, although several published studies also report the presence of GABA. At 2 M, we observe no differences in these neurotransmitter levels, as determined from areas under the relevant proton spectral peaks (Fig. 7B). We also find no differences in 16 other neurochemicals including N-acetylaspartate (see Methods for list), which is a biomarker for neuron damage.
At 7 M, we also observe no differences in glycine or GABA between the genotypes. In contrast, glutamate levels are increased in Cldn11−/−::Tg+/− mice by more than 10% compared to controls, and its metabolic precursor glutamine is increased 1.4-fold. Succinate levels are normal in these mice, suggesting that TCA cycle-derived α-ketoglutarate does not contribute to increased glutamate and glutamine levels in the mutants, which we conclude more likely signify elevated excitatory tone from glutamatergic neurons synapsing onto SOC nuclei, or from SOC neurons themselves. We hypothesize that modulating excitatory tone partly offsets the apparent reduction in principal cell recruitment in the mutants (Fig. 5B), which is consistent with a compensatory mechanism for diminished SOC output (persistent from an early age; Figs 4–6) because glutamate and glutamine levels are increased at 7 M but not 2 M.
Additional affective behavioral dysfunction
Our early hypothesis that conduction velocity slowing along small myelinated fibers could alter behavior is supported anecdotally by our observation that Cldn11−/−::Tg+/− mice often react abnormally by lingering in the center of home cage when the filter top is removed, while littermate controls scatter to the edges (thigmotaxis). This observation suggests diminished anxiety-like or avoidance behavior, which we quantified using open field (OF) and marble burying (MB) tests at 2 and 7 M to determine age of onset.
An OF arena schematic (Fig. 8A) shows the four virtual concentric center squares used for analysis. At 2-months (2 M) of age (Fig. 8Ba), Cldn11−/−::Tg+/− mice spend significantly more time than controls in all center squares except the 32% center square. The Cldn11−/−::Tg+/− mice travel greater distances with increased velocity, which indicates they are not immobile during testing but, more likely, exhibit a reduced anxiety phenotype (Supplementary Fig. S6). The lack of preference for adjacent quadrants of the arena indicates minimal influence on behavior by environmental cues.
The reduced anxiety phenotype persists until at least 7 M where, again, Cldn11−/−::Tg+/− mice spend more time in all center squares of the arena (Fig. 8Bb) while traveling similar distances at comparable velocity to controls, and with similar quadrant bias (Supplementary Fig. S6). The MB tests were performed on the same cohorts of mice and corroborate the reduced anxiety phenotype; thus at both 2 and 7 M, Cldn11−/−::Tg+/− mice bury significantly fewer marbles than controls (Fig. 8C).
Behavioral abnormalities, including anxiety and depression, are frequently comorbid with white matter diseases such as multiple sclerosis and leukodystrophy79. In light of altered anxiety inferred by the OF and MB tests, we sought to determine if the behavioral abnormalities of Cldn11−/−::Tg+/− mice also include a depression-like endophenotype. Thus, we examined these mutants using tail suspension tests (TST) at 2 or 7 M (Supplementary Fig. S6). At both ages there are no significant differences between control and Cldn11−/−::Tg+/− mice. Together, these data indicate that Cldn11−/−::Tg+/− mice exhibit a reduced anxiety/avoidance-like behavior in the absence of a depression-like endophenotype.
Altered amygdala neurochemistry
The reduced anxiety phenotype in Cldn11−/−::Tg+/− mice is apparent from an early age and persists for at least 7 M, demonstrating that the absence of claudin 1143,44 causes overt and long lived behavioral phenotypes. To determine if white matter dysfunction alters neurochemistry in anxiety-associated circuits, we performed proton magnetic resonance spectroscopy (1H-MRS) on ex vivo tissue punches from three brain regions, ventral and dorsal hippocampus and anterior cingulate cortex (VHC, DHC, ACC; Fig. 8Da,e) from the OF/MB/TST mouse cohorts.
At 2 M, levels of the inhibitory neurotransmitter GABA and the excitatory neurotransmitter glutamate, as well as its precursor glutamine, are normal in Cldn11−/−::Tg+/− mice compared to controls (Fig. 8Db–d. In addition, levels of 16 other neurochemicals detectable by 1H-MRS are normal (see Methods for list), including N-acetylaspartate which indicates that neurodegeneration is negligible in the mutants. These data indicate that significant behavioral phenotypes may arise in the absence of detectable neurotransmitter changes or neuron damage, and are presumably driven by temporal disconnection of sensory information disseminated by myelinated axons between integration and processing nuclei.
By 7 M, GABA is increased by more than 20% in the amygdala/VHC of Cldn11−/−::Tg+/− mice (Fig. 8Df), while levels in upstream (ACC) and downstream (DHC) nuclei are comparable to controls (Fig. 8Dg,h). In contrast, glutamate and glutamine levels are indistinguishable from controls (Fig. 8Df–h). The major neurotransmitter system used by neurons for amygdala and VHC connections is GABA; thus, these data reflect a change in neurochemistry that is site-specific and consistent with the reduced anxiety phenotype of Cldn11−/−::Tg+/− mice. Again, N-acetylaspartate levels are normal.
Discussion
In the current study, we tackle an heretofore intractable problem in behavioral neuroscience – that of characterizing molecular links between dysfunctional myelin and behavioral changes in the absence of degenerative pathology – and demonstrate how and why disrupting myelin function should be considered a plausible etiology for psychiatric disease alongside other well-characterized neuron-specific etiologies. Addressing this issue has been possible only because the mechanism of myelin tight junction function is known41,43–45, and the myelin dysfunction in Cldn11−/−::Tg+/− mice does not lead to neurodegeneration. Thus, the electrical resistance of CNS myelin is decreased, particularly in small diameter fibers, which increases transmission time and may temporally disconnect processing/integration nuclei from distributed brain networks.
The Cldn11−/−::Tg+/− mice exhibit a reduced anxiety/avoidance phenotype from early adulthood in the absence of a depression-like endophenotype and eventually develop a neurotransmitter imbalance whereby steady state GABA levels in the amygdala/ventral hippocampus rise more than 20%. The magnitude of increase is similar to those in patients with anxiety disorder80–82, and twice that observed in other rodent anxiety models83,84. Thus, our data lead inexorably to expansion of possible etiologies underlying psychiatric disease.
Direct demonstration of the links between myelin dysfunction, abnormal behavior and neurotransmitter imbalance are technically challenging in the limbic system because of the broad and complex distribution of incumbent nuclei and the absence of suitable non-invasive techniques with which to identify changes in transmission time. However the auditory pathway is physically-restricted, exquisitely interwoven for temporal and spatial processing of sensory information and perhaps uniquely amenable to interrogation using sophisticated neurophysiologic techniques.
From the youngest to the oldest ages that we can consistently record auditory responses, monaural ABRs from Cldn11−/−::Tg+/− mice are normal overall; although, wave V latency is increased at all stimulus intensities and pure tone frequencies spanning two octaves. Binaural ABRs are more sensitive than monaural measurements, and can reveal subtle abnormalities in signal amplitude/dispersion or neuron recruitment for the major nuclei of the superior olivary complex. Indeed, we demonstrate functional changes in the lateral superior olivary nucleus, important functions of which include processing/integration of auditory signals from left and right ears according to stimulus intensity differences and transmission of this information to inferior colliculus74,75,85. In contrast to controls, the latency of this output is invariant in Cldn11−/−::Tg+/− mice, demonstrating at least partial loss of sensory information pertaining to sound location in the azimuth plane. Such a deficit could be associated with a behavioral phenotype in freely behaving Cldn11−/−::Tg+/− mice by triggering inappropriate responses to auditory stimuli.
Consistent with our hypothesis, we also show that the absence of claudin 11 in myelin disrupts LSO function in Cldn11−/−::Tg+/− mice, which in large part could reflect temporal dispersion between the AVCN and the ipsilateral LSO. These nuclei are connected via small myelinated axons averaging 0.9 µm in diameter, and our previous modeling experiments suggest conduction velocity along these fibers could drop to <60% of normal43,44. In adult wild type mice, the transmission time for these axons approximates 430 µs, which we estimate could increase by 280 µs in Cldn11−/−::Tg+/− mice (Table 1). Myelinated contralateral efferents from the AVCN are >3 µm in diameter and the estimated transmission time of 280 µs should increase by only 70 µs in the absence of claudin 11. Thus, our estimates indicate that signals transiting the ipsilateral pathway are increased to a greater extent than those in the contralateral pathway.
Efferents from the MNTB are glycinergic and hyperpolarize LSO principal neurons. In contrast, LSO afferents from the ipsilateral AVCN are excitatory and counterbalance the contralateral signals, thereby modulating the amplitude and temporal features of signals to inferior colliculus. In Cldn11−/−::Tg+/− mice, disproportionate increases in transmission time along the ipsilateral axons likely disperse LSO output, leading to smaller and broader signals, which we observe for waves IV and V (Fig. 5B). From the perspective of neurochemistry, the higher steady state levels of glutamate and glutamine that we observe in older mutants (Fig. 7B) suggest that persistent signal temporal dispersion in the LSO may gradually increase firing of glutamatergic spherical bushy cells in the ipsilateral AVCN as a compensatory mechanism to boost signals for subsequent auditory nuclei up to the cortex and potentially beyond.
Together our data reveal two behavioral phenotypes, associated with altered regulation of inhibitory and excitatory neurotransmitters in distinct brain regions, all caused by a monogenic loss-of-function defect. Further, it is tempting to speculate that additional integration circuits relying on large and small myelinated afferents could be altered in the mutants. If so, it is also reasonable to expect that the homeostasis of additional neurotransmitter systems in those circuits eventually might be perturbed, leading to a multimodal behavioral phenotype affecting several circuits in different brain regions.
While the anxiety phenotype of Cldn11−/−::Tg+/− mice is readily interpreted as an increased risk of predation in Darwinian settings, diminished proficiency for localizing sound in space may seem more abstract. However, auditory field distortions stemming from inaccurate sound source localization may have untoward consequences for predator detection and evasion. And although not privy to the precepts of Cldn11−/−::Tg+/− mice, we can imagine situations where a multimodal phenotype might emerge as a unified behavioral deficit; for example, a general ambivalence to danger or a lack of awareness escalating to apparent impulsive or risk-taking behavior should a mouse attempt escape toward a predator (rather than the opposite direction) in response to auditory startle.
Despite a mechanistic analysis of the auditory pathway in Cldn11−/−::Tg+/− mice, our assertion that myelin dysfunction can cause behavioral phenotypes would be strengthened by corroborating clinical data. But in lieu of null alleles of the CLDN11 gene in patients, we rely on precedence from auditory brainstem lesions in infarct and MS patients86,87. Interaural level difference testing for these patients, which is analogous to sound lateralization in the current study, revealed profound distortions of the auditory field in 12/14 patients with lesions in the SOC, the inferior colliculus or the connecting myelinated fiber tracts between these two nuclei. Thus, all sound presentations emanating from locations across the azimuth plane were perceived by the patients either to come from the right, or left, or center of the auditory field. Similar to mice, the human auditory pathway from the SOC to the inferior colliculus gives rise to ABR waves IV and V and these clinical data lend strong support to our interpretation of the neurophysiology from Cldn11−/−::Tg+/− mice.
In this light, we conclude that dysfunctional myelin is appropriately considered as a potential etiology for psychiatric disease in some patients (Fig. 9). Herein, we demonstrate in the limbic system and the auditory pathway, that changes to the passive properties of myelin cause early behavioral abnormalities of diminished anxiety- or avoidance-like behavior and distortion of the auditory field. We attribute the eventual changes in neurotransmitter homeostasis to compensatory mechanisms that modulate output in neural circuits, possibly operating via feedback and feed forward loops. Importantly, the monogenic defect in Cldn11−/−::Tg+/− mice potentially causes a complex multimodal phenotype involving at least two neurotransmitter systems which, in humans, might not be amenable to simple monotherapies for effective symptom management. Future work will focus on awake behaving Cldn11−/−::Tg+/− mice to determine if they can localize sounds in space and to identify small molecules that ameliorate the behavioral phenotypes.
Electronic supplementary material
Acknowledgements
We thank Mr Matthew Vengalil and Ms Ellen Foot for technical assistance in several tests used in this study. This work was supported by grants to A.G. from the National Institutes of Health, National Institute of Deafness and other Communication Disorders (DC0006262), the Department of Defense (W81XWH-11-1-0267), the National Multiple Sclerosis Society (RG4078 and RG4639) and the Carl’s Foundation of Michigan. The authors declare no competing financial interests with regard to the current study.
Author Contributions
K.J.M., performed most of the experiments, designed methods, analyzed data and co-wrote the manuscript; M.P., characterized the Tg(Cldn11)605Gow and Ox3ZG mice in Supplementary Figs 1–4; F.G., collected tissue punches for 1H-MRS, analyzed spectra using LC-Model software; M.P.G., designed and collected tissue punches for 1H-MRS; S.A.P., designed the behavioral experiments and oversaw data interpretation; A.G., conceived and managed the project, designed and performed experiments, analyzed the data, wrote the manuscript.
Competing Interests
The authors declare no competing interests.
Footnotes
Kathleen J. Maheras and Marcello Peppi contributed equally to this work.
Electronic supplementary material
Supplementary information accompanies this paper at 10.1038/s41598-018-22047-9.
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Friston KJ. The disconnection hypothesis. Schizophr Res. 1998;30:115–125. doi: 10.1016/S0920-9964(97)00140-0. [DOI] [PubMed] [Google Scholar]
- 2.Schwartz AB. Movement: How the Brain Communicates with the World. Cell. 2016;164:1122–1135. doi: 10.1016/j.cell.2016.02.038. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Woolley DW, Shaw E. A Biochemical and Pharmacological Suggestion About Certain Mental Disorders. Proc Natl Acad Sci USA. 1954;40:228–231. doi: 10.1073/pnas.40.4.228. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Williams RW, Herrup K. The control of neuron number. Annu Rev Neurosci. 1988;11:423–453. doi: 10.1146/annurev.ne.11.030188.002231. [DOI] [PubMed] [Google Scholar]
- 5.Flagstad P, et al. Disruption of neurogenesis on gestational day 17 in the rat causes behavioral changes relevant to positive and negative schizophrenia symptoms and alters amphetamine-induced dopamine release in nucleus accumbens. Neuropsychopharmacology. 2004;29:2052–2064. doi: 10.1038/sj.npp.1300516. [DOI] [PubMed] [Google Scholar]
- 6.Goncalves JT, Anstey JE, Golshani P, Portera-Cailliau C. Circuit level defects in the developing neocortex of Fragile X mice. Nat Neurosci. 2013;16:903–909. doi: 10.1038/nn.3415. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Robinson RG, Szetela B. Mood change following left hemispheric brain injury. Ann Neurol. 1981;9:447–453. doi: 10.1002/ana.410090506. [DOI] [PubMed] [Google Scholar]
- 8.Garden GA, La Spada AR. Intercellular (mis)communication in neurodegenerative disease. Neuron. 2012;73:886–901. doi: 10.1016/j.neuron.2012.02.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Belmonte MK, et al. Autism and abnormal development of brain connectivity. J Neurosci. 2004;24:9228–9231. doi: 10.1523/JNEUROSCI.3340-04.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Hutsler JJ, Zhang H. Increased dendritic spine densities on cortical projection neurons in autism spectrum disorders. Brain Res. 2010;1309:83–94. doi: 10.1016/j.brainres.2009.09.120. [DOI] [PubMed] [Google Scholar]
- 11.McNamara JO. Emerging insights into the genesis of epilepsy. Nature. 1999;399:A15–22. doi: 10.1038/399a015. [DOI] [PubMed] [Google Scholar]
- 12.Shao LR, Dudek FE. Increased excitatory synaptic activity and local connectivity of hippocampal CA1 pyramidal cells in rats with kainate-induced epilepsy. J Neurophysiol. 2004;92:1366–1373. doi: 10.1152/jn.00131.2004. [DOI] [PubMed] [Google Scholar]
- 13.Kelleher RJ, 3rd, Bear MF. The autistic neuron: troubled translation? Cell. 2008;135:401–406. doi: 10.1016/j.cell.2008.10.017. [DOI] [PubMed] [Google Scholar]
- 14.Mathew SJ, et al. Dorsolateral prefrontal cortical pathology in generalized anxiety disorder: a proton magnetic resonance spectroscopic imaging study. Am J Psychiatry. 2004;161:1119–1121. doi: 10.1176/appi.ajp.161.6.1119. [DOI] [PubMed] [Google Scholar]
- 15.Sanacora G, et al. Reduced cortical gamma-aminobutyric acid levels in depressed patients determined by proton magnetic resonance spectroscopy. Arch Gen Psychiatry. 1999;56:1043–1047. doi: 10.1001/archpsyc.56.11.1043. [DOI] [PubMed] [Google Scholar]
- 16.Hasler G, et al. Reduced prefrontal glutamate/glutamine and gamma-aminobutyric acid levels in major depression determined using proton magnetic resonance spectroscopy. Arch Gen Psychiatry. 2007;64:193–200. doi: 10.1001/archpsyc.64.2.193. [DOI] [PubMed] [Google Scholar]
- 17.Stanley JA. In vivo magnetic resonance spectroscopy and its application to neuropsychiatric disorders. Can J Psychiatry. 2002;47:315–326. doi: 10.1177/070674370204700402. [DOI] [PubMed] [Google Scholar]
- 18.Perrine SA, et al. Ketamine reverses stress-induced depression-like behavior and increased GABA levels in the anterior cingulate: an 11.7 T 1H-MRS study in rats. Prog Neuropsychopharmacol Biol Psychiatry. 2014;51:9–15. doi: 10.1016/j.pnpbp.2013.11.003. [DOI] [PubMed] [Google Scholar]
- 19.Blier P, de Montigny C. Current advances and trends in the treatment of depression. Trends Pharmacol Sci. 1994;15:220–226. doi: 10.1016/0165-6147(94)90315-8. [DOI] [PubMed] [Google Scholar]
- 20.Pollack MH, Jensen JE, Simon NM, Kaufman RE, Renshaw PF. High-field MRS study of GABA, glutamate and glutamine in social anxiety disorder: response to treatment with levetiracetam. Prog Neuropsychopharmacol Biol Psychiatry. 2008;32:739–743. doi: 10.1016/j.pnpbp.2007.11.023. [DOI] [PubMed] [Google Scholar]
- 21.Nestler EJ, et al. Neurobiology of depression. Neuron. 2002;34:13–25. doi: 10.1016/S0896-6273(02)00653-0. [DOI] [PubMed] [Google Scholar]
- 22.Sarter M, Bruno JP, Parikh V. Abnormal neurotransmitter release underlying behavioral and cognitive disorders: toward concepts of dynamic and function-specific dysregulation. Neuropsychopharmacology. 2007;32:1452–1461. doi: 10.1038/sj.npp.1301285. [DOI] [PubMed] [Google Scholar]
- 23.Philip NS, Carpenter LL, Tyrka AR, Price LH. Pharmacologic approaches to treatment resistant depression: a re-examination for the modern era. Expert Opin Pharmacother. 2010;11:709–722. doi: 10.1517/14656561003614781. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Haenisch B, Bonisch H. Depression and antidepressants: insights from knockout of dopamine, serotonin or noradrenaline re-uptake transporters. Pharmacol Ther. 2011;129:352–368. doi: 10.1016/j.pharmthera.2010.12.002. [DOI] [PubMed] [Google Scholar]
- 25.Stahl SM. Basic psychopharmacology of antidepressants, part 1: Antidepressants have seven distinct mechanisms of action. J Clin Psychiatry. 1998;59(Suppl 4):5–14. [PubMed] [Google Scholar]
- 26.Stahl SM, Grady MM, Moret C, Briley M. SNRIs: their pharmacology, clinical efficacy, and tolerability in comparison with other classes of antidepressants. CNS Spectrums. 2005;10:732–747. doi: 10.1017/S1092852900019726. [DOI] [PubMed] [Google Scholar]
- 27.Feighner JP. Mechanism of action of antidepressant medications. J Clin Psychiatry. 1999;60(Suppl 4):4–11. [PubMed] [Google Scholar]
- 28.Yonkers KA, Dyck IR, Warshaw M, Keller MB. Factors predicting the clinical course of generalised anxiety disorder. Br J Psychiatry. 2000;176:544–549. doi: 10.1192/bjp.176.6.544. [DOI] [PubMed] [Google Scholar]
- 29.Barres BA. The mystery and magic of glia: a perspective on their roles in health and disease. Neuron. 2008;60:430–440. doi: 10.1016/j.neuron.2008.10.013. [DOI] [PubMed] [Google Scholar]
- 30.Davis KL, et al. White matter changes in schizophrenia: evidence for myelin-related dysfunction. Arch Gen Psychiatry. 2003;60:443–456. doi: 10.1001/archpsyc.60.5.443. [DOI] [PubMed] [Google Scholar]
- 31.Geschwind N. Disconnexion syndromes in animals and man: Part I. 1965. Neuropsychol Rev. 2010;20:128–157. doi: 10.1007/s11065-010-9131-0. [DOI] [PubMed] [Google Scholar]
- 32.Fields RD. White matter in learning, cognition and psychiatric disorders. Trends Neurosci. 2008;31:361–370. doi: 10.1016/j.tins.2008.04.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Garside S, Rosebush PI, Levinson AJ, Mazurek MF. Late-onset adrenoleukodystrophy associated with long-standing psychiatric symptoms. J Clin Psychiatry. 1999;60:460–468. doi: 10.4088/JCP.v60n0708. [DOI] [PubMed] [Google Scholar]
- 34.Baumann N, Turpin JC, Lefevre M, Colsch B. Motor and psycho-cognitive clinical types in adult metachromatic leukodystrophy: genotype/phenotype relationships? J Physiol Paris. 2002;96:301–306. doi: 10.1016/S0928-4257(02)00019-0. [DOI] [PubMed] [Google Scholar]
- 35.Schubert DS, Foliart RH. Increased depression in multiple sclerosis patients. A meta-analysis. Psychosomatics. 1993;34:124–130. doi: 10.1016/S0033-3182(93)71902-7. [DOI] [PubMed] [Google Scholar]
- 36.Schiffer RB, Babigian HM. Behavioral disorders in multiple sclerosis, temporal lobe epilepsy, and amyotrophic lateral sclerosis. An epidemiologic study. Arch Neurol. 1984;41:1067–1069. doi: 10.1001/archneur.1984.04050210065016. [DOI] [PubMed] [Google Scholar]
- 37.Petersen RC, Kokmen E. Cognitive and psychiatric abnormalities in multiple sclerosis. Mayo Clin Proc. 1989;64:657–663. doi: 10.1016/S0025-6196(12)65344-0. [DOI] [PubMed] [Google Scholar]
- 38.Hyde TM, Ziegler JC, Weinberger DR. Psychiatric disturbances in metachromatic leukodystrophy. Insights into the neurobiology of psychosis. Arch Neurol. 1992;49:401–406. doi: 10.1001/archneur.1992.00530280095028. [DOI] [PubMed] [Google Scholar]
- 39.Inagawa K, Watanabe S, Tsukada Y, Mikoshiba K. The role of myelination in learning performance observed in two strains of myelin-deficient mutant mice (shiverer and mld) Behav Neural Biol. 1988;50:184–192. doi: 10.1016/S0163-1047(88)90871-0. [DOI] [PubMed] [Google Scholar]
- 40.Tanaka H, et al. Mice with altered myelin proteolipid protein gene expression display cognitive deficits accompanied by abnormal neuron-glia interactions and decreased conduction velocities. J Neurosci. 2009;29:8363–8371. doi: 10.1523/JNEUROSCI.3216-08.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Gow A, et al. CNS myelin and sertoli cell tight junction strands are absent in Osp/claudin-11 null mice. Cell. 1999;99:649–659. doi: 10.1016/S0092-8674(00)81553-6. [DOI] [PubMed] [Google Scholar]
- 42.Gow A, et al. Deafness in Claudin 11-null mice reveals the critical contribution of basal cell tight junctions to stria vascularis function. J Neurosci. 2004;24:7051–7062. doi: 10.1523/JNEUROSCI.1640-04.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Devaux J, Gow A. Tight junctions potentiate the insulative properties of small CNS myelinated axons. J Cell Biol. 2008;183:909–921. doi: 10.1083/jcb.200808034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Gow A, Devaux J. A model of tight junction function in central nervous system myelinated axons. Neuron Glia Biol. 2008;4:307–317. doi: 10.1017/S1740925X09990391. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Denninger AR, et al. Claudin-11 Tight Junctions in Myelin Are a Barrier to Diffusion and Lack Strong Adhesive Properties. Biophys J. 2015;109:1387–1397. doi: 10.1016/j.bpj.2015.08.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Wu X, et al. Transgene-mediated rescue of spermatogenesis in Cldn11-null mice. Biol Reprod. 2012;86:131–139. doi: 10.1095/biolreprod.111.096230. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Gow A, Friedrich VL, Jr., Lazzarini RA. Myelin basic protein gene contains separate enhancers for oligodendrocyte and Schwann cell expression. J Cell Biol. 1992;119:605–616. doi: 10.1083/jcb.119.3.605. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Angoa-Perez, M., Kane, M. J., Briggs, D. I., Francescutti, D. M. & Kuhn, D. M. Marble burying and nestlet shredding as tests of repetitive, compulsive-like behaviors in mice. J Vis Exp: JoVE, 50978 (2013). [DOI] [PMC free article] [PubMed]
- 49.Can, A. et al. The tail suspension test. J Vis Exp: JoVE, e3769 (2012). [DOI] [PMC free article] [PubMed]
- 50.Doucet JR, Ryugo DK. Axonal pathways to the lateral superior olive labeled with biotinylated dextran amine injections in the dorsal cochlear nucleus of rats. J Comp Neurol. 2003;461:452–465. doi: 10.1002/cne.10722. [DOI] [PubMed] [Google Scholar]
- 51.Ito S, Hoke M, Pantev C, Lutkenhoner B. Binaural interaction in brainstem auditory evoked potentials elicited by frequency-specific stimuli. Hear Res. 1988;35:9–19. doi: 10.1016/0378-5955(88)90036-6. [DOI] [PubMed] [Google Scholar]
- 52.Ghoddoussi F, et al. Methionine sulfoximine, an inhibitor of glutamine synthetase, lowers brain glutamine and glutamate in a mouse model of ALS. J Neurol Sci. 2010;290:41–47. doi: 10.1016/j.jns.2009.11.013. [DOI] [PubMed] [Google Scholar]
- 53.Bustillo J, Galloway MP, Ghoddoussi F, Bolognani F, Perrone-Bizzozero N. Medial-frontal cortex hypometabolism in chronic phencyclidine exposed rats assessed by high resolution magic angle spin 11.7 T proton magnetic resonance spectroscopy. Neurochem Int. 2012;61:128–131. doi: 10.1016/j.neuint.2012.04.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.RStudio: Integrated Development for R. v. 1. 0.136 (RStudio Inc, Boston, MA, http://www.rstudio.com/ 2016).
- 55.Bronstein JM, Chen K, Tiwari-Woodruff S, Kornblum HI. Developmental expression of OSP/claudin-11. J Neurosci Res. 2000;60:284–290. doi: 10.1002/(SICI)1097-4547(20000501)60:3<284::AID-JNR2>3.0.CO;2-T. [DOI] [PubMed] [Google Scholar]
- 56.Itoh M, Morita K, Tsukita S. Characterization of ZO-2 as a MAGUK family member associated with tight as well as adherens junctions with a binding affinity to occludin and alpha catenin. J Biol Chem. 1999;274:5981–5986. doi: 10.1074/jbc.274.9.5981. [DOI] [PubMed] [Google Scholar]
- 57.Kitajiri S, et al. Compartmentalization established by claudin-11-based tight junctions in stria vascularis is required for hearing through generation of endocochlear potential. J Cell Sci. 2004;117:5087–5096. doi: 10.1242/jcs.01393. [DOI] [PubMed] [Google Scholar]
- 58.Filley, C. M. White matter: beyond focal disconnection. Neurol Clin29, 81–97, viii (2011). [DOI] [PubMed]
- 59.Reuss S. Introduction to the superior olivary complex. Microsc Res Tech. 2000;51:303–306. doi: 10.1002/1097-0029(20001115)51:4<303::AID-JEMT1>3.0.CO;2-B. [DOI] [PubMed] [Google Scholar]
- 60.Wu SH, Kelly JB. Binaural interaction in the lateral superior olive: time difference sensitivity studied in mouse brain slice. J Neurophys. 1992;68:1151–1159. doi: 10.1152/jn.1992.68.4.1151. [DOI] [PubMed] [Google Scholar]
- 61.Ahn, K. J., Passero, F. Jr. & Crenshaw, E. B. 3rd. Otic mesenchyme expression of Cre recombinase directed by the inner ear enhancer of the Brn4/Pou3f4 gene. Genesis47, 137–141 (2009). [DOI] [PubMed]
- 62.Fulton DL, Denarier E, Friedman HC, Wasserman WW, Peterson AC. Towards resolving the transcription factor network controlling myelin gene expression. Nucl Acids Res. 2011;39:7974–7991. doi: 10.1093/nar/gkr326. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Dinh ML, Koppel SJ, Korn MJ, Cramer KS. Distribution of glial cells in the auditory brainstem: normal development and effects of unilateral lesion. Neuroscience. 2014;278:237–252. doi: 10.1016/j.neuroscience.2014.08.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Wu SH, Kelly JB. Physiological properties of neurons in the mouse superior olive: membrane characteristics and postsynaptic responses studied in vitro. J Neurophysiol. 1991;65:230–246. doi: 10.1152/jn.1991.65.2.230. [DOI] [PubMed] [Google Scholar]
- 65.Wu SH, Kelly JB. Synaptic pharmacology of the superior olivary complex studied in mouse brain slice. J Neurosci. 1992;12:3084–3097. doi: 10.1523/JNEUROSCI.12-08-03084.1992. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Sinclair JL, et al. Sound-Evoked Activity Influences Myelination of Brainstem Axons in the Trapezoid Body. J Neurosci. 2017;37:8239–8255. doi: 10.1523/JNEUROSCI.3728-16.2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Seidl AH, Rubel EW, Harris DM. Mechanisms for adjusting interaural time differences to achieve binaural coincidence detection. J Neurosci. 2010;30:70–80. doi: 10.1523/JNEUROSCI.3464-09.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Sommer I, Lingenhohl K, Friauf E. Principal cells of the rat medial nucleus of the trapezoid body: an intracellular in vivo study of their physiology and morphology. Exp Brain Res. 1993;95:223–239. doi: 10.1007/BF00229781. [DOI] [PubMed] [Google Scholar]
- 69.Kopp-Scheinpflug C, Tolnai S, Malmierca MS, Rubsamen R. The medial nucleus of the trapezoid body: comparative physiology. Neuroscience. 2008;154:160–170. doi: 10.1016/j.neuroscience.2008.01.088. [DOI] [PubMed] [Google Scholar]
- 70.Held H. Die zentrale Gehorleitung. Arch Anat Physiol Anat Abtheil. 1893;17:201–258. [Google Scholar]
- 71.Moore JK. The human auditory brain stem as a generator of auditory evoked potentials. Hear Res. 1987;29:33–43. doi: 10.1016/0378-5955(87)90203-6. [DOI] [PubMed] [Google Scholar]
- 72.Jalabi W, et al. Sound localization ability and glycinergic innervation of the superior olivary complex persist after genetic deletion of the medial nucleus of the trapezoid body. J Neurosci. 2013;33:15044–15049. doi: 10.1523/JNEUROSCI.2604-13.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Fabiani M, Sohmer H, Tait C, Gafni M, Kinarti R. A functional measure of brain activity: brain stem transmission time. Electroencephalogr Clin Neurophysiol. 1979;47:483–491. doi: 10.1016/0013-4694(79)90164-0. [DOI] [PubMed] [Google Scholar]
- 74.Schwartz, I. R. In The Mammalian auditory pathway: neuroanatomy (eds Douglas B. Webster, Arthur N. Popper, & Richard R. Fay) Ch. 117–167, (Springer-Verlag, 1992).
- 75.Cant NB, Casseday JH. Projections from the anteroventral cochlear nucleus to the lateral and medial superior olivary nuclei. J Comp Neurol. 1986;247:457–476. doi: 10.1002/cne.902470406. [DOI] [PubMed] [Google Scholar]
- 76.Dobie RA, Berlin CI. Binaural interaction in brainstem-evoked responses. Arch Otolaryngol. 1979;105:391–398. doi: 10.1001/archotol.1979.00790190017004. [DOI] [PubMed] [Google Scholar]
- 77.Ungan P, Yagcioglu S, Ozmen B. Interaural delay-dependent changes in the binaural difference potential in cat auditory brainstem response: implications about the origin of the binaural interaction component. Hear Res. 1997;106:66–82. doi: 10.1016/S0378-5955(97)00003-8. [DOI] [PubMed] [Google Scholar]
- 78.Prasher DK, Sainz M, Gibson WP. Effect of interaural intensity differences on binaural summation of brainstem auditory-evoked potentials. Br J Audiol. 1981;15:189–194. doi: 10.3109/03005368109081436. [DOI] [PubMed] [Google Scholar]
- 79.Stewart DG, Davis KL. Possible contributions of myelin and oligodendrocyte dysfunction to schizophrenia. Int Rev Neurobiol. 2004;59:381–424. doi: 10.1016/S0074-7742(04)59015-3. [DOI] [PubMed] [Google Scholar]
- 80.Nutt DJ, Malizia AL. New insights into the role of the GABA(A)-benzodiazepine receptor in psychiatric disorder. Br J Psychiatry. 2001;179:390–396. doi: 10.1192/bjp.179.5.390. [DOI] [PubMed] [Google Scholar]
- 81.Lydiard RB. The role of GABA in anxiety disorders. J Clin Psychiatry. 2003;64(Suppl 3):21–27. [PubMed] [Google Scholar]
- 82.Nemeroff CB. The role of GABA in the pathophysiology and treatment of anxiety disorders. Psychopharmacol Bull. 2003;37:133–146. [PubMed] [Google Scholar]
- 83.Sherif F, Oreland L. Effect of the GABA-transaminase inhibitor vigabatrin on exploratory behaviour in socially isolated rats. Behav Brain Res. 1995;72:135–140. doi: 10.1016/0166-4328(96)00047-2. [DOI] [PubMed] [Google Scholar]
- 84.Ackermann TF, et al. Phosphatidylinositide dependent kinase deficiency increases anxiety and decreases GABA and serotonin abundance in the amygdala. Cell Phys Biochem. 2008;22:735–744. doi: 10.1159/000185557. [DOI] [PubMed] [Google Scholar]
- 85.Warr WB. Fiber degeneration following lesions in the anterior ventral cochlear nucleus of the cat. Exp Neurol. 1966;14:453–474. doi: 10.1016/0014-4886(66)90130-0. [DOI] [PubMed] [Google Scholar]
- 86.Furst M, et al. Sound lateralization and interaural discrimination. Effects of brainstem infarcts and multiple sclerosis lesions. Hear Res. 2000;143:29–42. doi: 10.1016/S0378-5955(00)00019-8. [DOI] [PubMed] [Google Scholar]
- 87.Furst M, et al. Brainstem lesions and click lateralization in patients with multiple sclerosis. Hear Res. 1995;82:109–124. doi: 10.1016/0378-5955(94)00170-U. [DOI] [PubMed] [Google Scholar]
- 88.Adams JC. Cytology of periolivary cells and the organization of their projections in the cat. J Comp Neurol. 1983;215:275–289. doi: 10.1002/cne.902150304. [DOI] [PubMed] [Google Scholar]
- 89.Franklin, K. B. J. & Paxinos, G. The mouse brain in stereotaxic coordinates compact. 3rd edn (Elsevier, 2008).
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Reagents, mouse mutants and datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.