Abstract
Hoxb8 mutant mice exhibit compulsive grooming and hair removal dysfunction similar to humans with the OCD-spectrum disorder, trichotillomania. Since, in the mouse brain, the only detectable cells that label with Hoxb8 cell lineage appear to be microglia, we suggested that defective microglia cause the neuropsychiatric disorder. Does the Hoxb8 mutation in microglia lead to neural circuit dysfunctions? We demonstrate that Hoxb8 mutants contain corticostriatal circuit defects. Golgi staining, ultra-structural, and electrophysiological studies of mutants reveal excess dendritic spines, pre- and post-synaptic structural defects, long-term potentiation and miniature postsynaptic current defects. Hoxb8 mutants also exhibit hyperanxiety and social behavioral deficits similar to mice with neuronal mutations in Sapap3, Slitrk5 and Shank3, reported models of OCD and autism spectrum disorders (ASD’s). Long-term treatment of Hoxb8 mutants with fluoxetine, a serotonin reuptake inhibitor (SSRI), reduces excessive grooming, hyperanxiety and social behavioral impairments. These studies provide linkage between the neuronal defects induced by defective Hoxb8-microglia, and neuronal dysfunctions directly generated by mutations in synaptic components that result in mice that display similar pathological grooming, hyperanxiety and social impairment deficits. Our results shed light on Hoxb8 microglia driven circuit-specific defects and therapeutic approaches that will become essential to developing novel therapies for neuropsychiatric diseases such as OCD and ASD’s with Hoxb8-microglia being the central target.
Introduction
Grooming is an evolutionarily well-conserved innate behavior of rodents and other mammalian species that is essential for survival. The grooming circuit induces hierarchically ordered set of actions, which in Hoxb8 mutants are characterized by compulsive excessive grooming, hair removal and lesions at the sites of overgrooming1–2, 6–7,37. Hoxb8 mutant analysis suggested that defective microglia underlie the behavioral deficits7. How Hoxb8 gene disruption alters neural circuit, induces behavioral dysfunctions and cause neuronal pathology has neither been addressed nor has such ensuing neural damage been previously defined. Functional imaging in humans8–9,53 and genetic mutational studies in SAPAP3, Slitrk5 and Shank33–5 mutant mice has pointed to corticostriato-thalamo-cortical circuit defects as a basis for OCD-pathogenesis10–13,15,22.
To address the role of Hoxb8 gene function in neuronal pathology we examined neuronal integrity of Hoxb8 mutants and evaluated corticostriatal structural and functional synaptic impairments. We further demonstrate that Hoxb8 mutants exhibit anxiety and social interaction behavioral dysfunction in addition to pathological grooming. These behaviors in mutants are rescued by long-term fluoxetine treatment similar to humans16. This work ties together Hoxb8 gene induced neural pathology with the neural SAPAP3, SlitrK5 and Shank3 mutant3–5 mice models of OCD and ASD. We infer that the Hoxb8 gene in the Hoxb8 cell lineage normally modulate the corticostriatal circuit and controls grooming behavior. The absence of Hoxb8 function in microglia leads to aberrant modulation and physical impairment of these neural circuits leading to OCD-like compulsive behavior in mice.
Material and Methods
All experiments were approved by the The Institutional Animal Care and Use Committee (IACUC), University of Utah.
Electron microscopy (EM)
Tissues were fixed (24h) in 1% formaldehyde, 2.5% glutaraldehyde, 3% sucrose, and 1 mM MgSO4 in 0.1 M cacodylate buffer, osmicated (60 min) in 0.5% OsO4 in 0.1 M cacodylate buffer, processed in maleate buffer for en bloc staining with uranyl acetate, and processed for resin embedding52. 60–90 nm sections were mounted onto Formvar® films and imaged (GATAN Ultrascan 4000) at 80 KeV (JEOL-JEM-1400-EM, 5,000x magnification and nanometer resolution) from 1X1X1 mm3 tissue volume. IR-tools mosaicked TEM data and corrected aberrations and electron-optical distortions after mosaic construction on individual tiles. All statistics used for EM analysis per sample per genotype and grouped analysis is summarized in Supplementary table 2. Sample size for data analysis was determined by power analysis and literature3, 5. Spine and synapse quantification was performed by an experimenter blinded to genotype and the brain region.
Slice electrophysiology
Slices from isolated brains were placed in ice-cold (4°C) oxygenated Sucrose-based Artificial Cerebral Spinal Fluid (ACSF) (95% O2/5% CO2) containing (in mM): Sucrose (180.0), KCl (3.0), Na2PO4 (1.4), MgSO4 (3.0), NaHCO3 (26.0), glucose (10.0), and CaCl2 (0.5). ACSF contained (in mM): NaCl (126.0), KCl (3.0), Na2PO4 (1.4), MgSO4 (1.0), NaHCO3 (26.0), glucose (10.0), and CaCl2 (2.5) (pH 7.3–7.4, 290–300 mOsm).
Corticostriatal LTP
Field excitatory post-synaptic potentials (fEPSPs) were recorded (30–31°C) from slices perfused with oxygenated ACSF (2.5 mL/min). Concentric bipolar stimulating electrodes were placed in dorsomedial striatum (DMS) at its interface with corpus callosum17–19. Recording microelectrodes were placed near (250 µm) stimulating electrodes in DMS. fEPSPs were evoked with 100 µs stimuli (1–40 V, stimulation strength 50% of minimal and maximal fEPSP amplitudes).
Whole-cell recordings
Acute brain slices (300 µm thickness) were cut and recovered (45–60 min) in a submerged chamber (31° C) with ACSF (in mM) 125 NaCl, 2.5 KCl, 2.0 CaCl2, 1 MgCl2, 1.25 NaH2PO4, 25 NaHCO3 and 15 D-glucose (pH 7.4, 300–310 mOsm) and perfused with oxygenated (95% O2/5% CO2) ACSF at 2 ml/min at 31° C. Internal solution was (in mM) 107 CsMeSO3, 10 CsCl, 3.7 NaCl, 5 TEA-Cl, 20 HEPES, 0.2 EGTA, 5 lidocaine, 4 ATP-magnesium and 0.3 GTP-sodium salt (pH 7.3, 298–301 mOsm). Data were sampled at 10 kHz with low- and high-pass filter set to 1 kHz and 3 Hz. Sample size for data analysis was determined by power analysis and literature. Sample size for all electrophysiological experiments was determined based on the literature3–5, 17–20.
Grooming behavior
Grooming assay used vibration sensitive platforms and laboras software for data analysis. Parameters extracted from grooming assay is shown in Supplementary table 3.
Elevated plus maze, open field and light-dark test
Anxiety was tested in plus maze (5X35X 15X40 cm), open field (40X40X35 cm) and light-dark arena (40X40X35 cm). Mouse movement was tracked using ANY-Maze software. Parameters extracted from anxiety assay are shown in Supplementary table 4.
Three-Chambered social assay
30 minute Social assay was performed in three-chambered compartment. Test mouse was placed in center while intruder mouse in right with left chamber being empty. After placing test mouse at the center for 10-minute habituation, left and right doors were opened for test mouse to interact with empty or intruder chamber. Test mice movements were tracked using Laboras.
Fluoxetine treatment
Mice that underwent fluoxetine or saline treatment were acclimated in home cages for > 7 days. WT and mutants were intraperitoneally injected (5 mg/kg) with fluoxetine once a day for one day, one, five and thirteen weeks. Sample size for all behavioral and drug treatment conditions were determined by literature 3–5 and power analysis.
All behavioral experiments were conducted blindly with the experimenter blind to genotype and drug treatment conditions.
Results
Hoxb8 mutants show altered pre and postsynaptic structures
We first determined if Hoxb8 mutants show altered corticostriatal synapse morphology similar to those shown to be defective in SAPAP3 and Slitrk5 mutant mice, well studied mouse models of OCD. We measured dendritic spine density in frontal cortical and striatal neurons using golgi-cox staining. Mutants exhibit significantly higher spine density in frontal cortex but lower density in striatum (Fig. 1a, 1c–1d) implying distinct effects of Hoxb8 mutation on spine maintenance within cortex and striatum. Spines averaged per mouse reproduced the average value (Supplementary table 1d–1e). To identify the dendritic spine density changes in OCD specific striatal brain regions, as opposed to global spine density changes in the entire striatum, we quantified spine density from dorso and ventro-medial striatum of WT and Hoxb8 mutants. Spine density in Hoxb8 mutants increased significantly in both dorso- and ventro-medial striatal regions (Supplementary Fig. 1c, 1e, 1d, 1f) without affecting spine density from visual cortex (Supplementary Fig. 1b, 1g), a control brain region that is independent of OCD circuit. These data suggests that distinct striatal sub-regions show diverse dendritic spine phenotype.
To identify whether the Hoxb8 mutation affects synaptic structures, we examined asymmetric (excitatory) and symmetric (inhibitory) cortical and striatal synapses using electron microscopy (EM). Representative synapses are displayed and modeled (Fig. 1b,Supplementary Fig. 3a). At asymmetric and symmetric cortical synapses, synaptic length increased significantly compared to WT (Fig. 1e, Supplementary Fig. 2m–2n). Contrastingly, synaptic length decreased significantly at striatal asymmetric and symmetric synapses (Fig. 1f, Supplementary Fig. 2o–2p) suggesting defective but contrasting cortical and striatal structural synapse in mutants. To determine post-synaptic alteration, we quantified postsynaptic density (PSD) length and thickness. PSD length in mutants shifted rightward (Fig. 1g–1h) in cumulative distribution and was significantly longer at asymmetric and symmetric cortical synapses (Fig. 1o). Contrastingly, PSD thickness of asymmetric and symmetric cortical synapses of mutants shifted leftward in cumulative distribution (Fig. 1i–1j) and were significantly smaller than WT (Fig. 1q). Synaptic expansion in mutants concurrently increased pre-synaptic diameter at asymmetric and symmetric synapses, but expanded postsynaptic diameter only at asymmetric synapses (Supplementary Fig. 3b–3e, 3j, 3l, Supplementary table 1). To identify if synaptic structural changes affect active zone, we quantified active zone length and thickness at cortical synapses. Mutants exhibit longer active zones at asymmetric and symmetric synapses (Supplementary-Fig. 2a–2b, 2i, Supplementary Table 1). Changes in the active zone thickness were insignificant at either of the synapses (Supplementary Fig. 2k) although cumulative distribution showed statistical significance for symmetric synapses (Supplementary-Fig. 2d, 2c, Supplementary Table 1). Together the data imply that the Hoxb8 mutation affects the cortical pre- and post-synapses and results in synaptic expansion at asymmetric and symmetric synapses. Because we detected synaptic expansion within frontal cortical synapses, we asked if such structural alteration result in more or stronger synapses? We analyzed total excitatory and inhibitory synapses within frontal cortex and observed that mutants exhibit significantly increased mono- and total asymmetric but not symmetric synapses (Supplementary Fig. 2q–t) implying increased synaptic density in mutants in consistence with synaptic structural modification.
In contrast to cortex, Hoxb8 mutants showed a significant reduction of PSD length (Fig. 1p) and shifted cumulative distribution leftward at asymmetric (Fig. 1k) and symmetric (Fig. 1l) striatal synapses. PSD thickness of asymmetric and symmetric striatal synapses in mutants was significantly greater than WT (Fig. 1r) and shifted cumulative distribution rightward (Fig. 1m–1n). Synaptic contraction concurrently reduced pre and postsynaptic diameter with leftward shifting of cumulative distribution (Supplementary-Fig. 3f–3i, 3k, 3m, Supplementary Table 1). Similar to pre- and postsynaptic contraction, mutants exhibit smaller active zones at asymmetric and symmetric synapses (Supplementary-Fig. 2e–2f, 2j, Supplementary Table 1). Contrast to cortex, active zone thickness shrunk at asymmetric but expanded significantly at symmetric striatal synapses (Supplementary Fig. 2g–2h, 2l, Supplementary Table 1) indicating that Hoxb8 mutation affects striatal and cortical synapses differentially (Supplementary-Table 1c, Supplementary Table 2). Synaptic analysis revealed a significant increase in mono and total synapses at asymmetric excitatory but reduced mono and total synapses at symmetric synapses (Supplementary Fig. 2u–2x) in mutants consistent with the synaptic structural modification at cortical and striatal synapses in Hoxb8 mutants leading to an increased excitation at the corticostriatal circuit as has been reported for SAPAP3, Slitrk5 and Shank3 mutant mice3–5.
Altered CNQX-insensitive long-term potentiation and miniature excitatory currents in Hoxb8 mutants
We investigated whether altered pre- and postsynaptic structure observed in frontal cortex and striatum affected corticostriatal neurotransmission in Hoxb8 mutants. The input-output (IO) curves, slope normalized to peak response, field potential amplitudes and paired-pulse ratio at striatal synapses revealed insignificant difference between mutant and WT slices (Supplementary Fig. 4a–4c, Fig. 2a) in response to layer 5/6 cortical fiber stimulation implying that the electrophysiological properties and short-term plasticity is intact in mutants.
To probe presynaptic plasticity, population spike responses were measured in dorsal striatum. Single pulse layer 5/6 cortical stimulation evoked a population spike that was dependent on synaptic glutamate release and postsynaptic α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor (AMPA)/kainate receptors17. Population spike consisted of non-synaptic (S1, source current) presynaptic component and synaptically mediated postsynaptic component (S2, sink current)17–19, 23 (Fig. 2b–2c). Because of non-laminar striatal organization, sink and source currents a) overlap in space b) arise from action potentials with shorter latency c) are- CNQX-insensitive and interchangeable measures of presynaptic depolarization.
In control experiments, CNQX, (AMPA/kainate receptor antagonist) blocked the S2 but not S1 component (Fig. 2b) indicating that the action potential dependent component is CNQX-sensitive (S2), while the independent component is CNQX-insensitive (S1). To investigate whether mutants show changes in S2 versus S1, tetanic stimulation was applied to DMS and LTP was measured. Strikingly, the S1 increased significantly in mutants compared to WT (Fig. 2d) without affecting the S2 (Fig. 2e) suggesting that the loss of the Hoxb8 gene affects CNQX-independent (cortical driven) but not CNQX-dependent (intra-striatal) LTP. S1 versus S2 field potential amplitudes did not differ significantly (Supplementary Fig. 4d) implying that the postsynaptic striatal output is smaller despite presynaptic changes consistent with the reduced spine density, synapse and PSD length of mutants (Fig. 1d, 1f, 1p) at striatal synapses analyzed.
Because cortical and striatal spine density and PSD morphology was altered, we questioned if electrophysiological signature of such synaptic change exist in DMS. We recorded AMPA-receptor mediated excitatory miniature evoked postsynaptic currents (mEPSCs) from dorsal MSNs. Two distinct mEPSC types were detected in MSN’s of mutants that were distinguishable by response kinetics and decay time and categorized into slow (Group 1) and fast (Group 2) miniature events (Fig. 2g–2h, Supplementary Fig. 4f). Representative events are displayed in Fig. 2h. Group 1 MSNs of mutants exhibit significantly longer inter-event interval (IEI) with higher amplitudes (Fig. 2g, 2i, 2k) while group 2 MSNs showed significantly reduced IEI and mEPSC amplitudes relative to WT mice (Fig. 2g, 2j, 2l) implying that the probability of the presynaptic neurotransmitter release and postsynaptic AMPA receptors might be affected in opposite way. These effects were prominent when rise and decay times (Supplementary Fig. 4g–j), mEPSC charge, event half-width (Supplementary Fig. 4k–n) and frequency (Supplementary Fig. 5a–5b) were analyzed. The relationship between a) mEPSC amplitude and 10–90% rise time (Supplementary Fig. 5c–5d), b) amplitude and average rise rate (Supplementary Fig. 5e–5f), and c) event half width and 10–90% rise time (Supplementary Fig. 5g–5h), were distinguishable between WT and mutants. These data imply that mEPSC events of MSNs are affected in mutants at single neuronal level.
Hoxb8 mutants show impaired grooming, anxiety and social behaviors
To determine the role of Hoxb8 mutation in grooming, we used 24-hour automatic laboras platform containing sensitive vibration detectors to detect grooming and non-grooming behaviors20. Reproducibly6,7, laboras detected significantly higher self-grooming behavior in mutants compared to WT mice (Fig. 3a, Supplementary Table 3–4).
Two features common to OCD and ASD, are hyperanxiety and social behavioral deficits3–5,13. We investigated whether such behaviors in mutants are altered. In plus maze test, mutants spent significantly more time in closed arm compared to WT mice (Fig 3b–3c) without altering distance in closed arm (Supplementary Fig. 6a) implying that mutants are more anxious in plus maze. Mutants spent significantly decreased time in open arm under different light intensities (1.7 fold at 75 lx, 2.7 fold at 100 lx; Supplementary Fig. 6b), traveled for shorter distances (1.5 fold, 75 lx; 3.2 fold, 100 lx; Supplementary Fig. 6c) and had longer latencies (3.7 fold, 75 lx; 4.9 fold, 100 lx; Supplementary Fig. 6d) than controls.
In open field test, an additional indicator of anxiety level, mutants exhibit significantly reduced- time at the center (Fig. 3d–3e), line crossings, entries and circling numbers (Supplementary Fig. 6f–6e) implying higher anxiety levels relative to controls. Both male and female mutants showed higher anxiety levels (Supplementary Table 5). In light-dark test, mutants spent reduced time in light (Fig. 3f) and more time in dark chamber (Supplementary Fig. 6h) compared to WT mice without affecting the total light zone entries (Supplementary Fig. 6i). All these anxiety tests suggested that Hoxb8 mutants exhibit hyperanxiety levels relative to controls.
We tested social behaviors in Hoxb8 mutants using a three-chambered social assay in which the test subject (WT or mutant, male or female) is placed at the center, with an empty left chamber and an intruder mouse in the right chamber. Mutants spent significantly reduced time socially interacting with the intruder (Fig. 3h). Heat maps derived from male and female mutants (Fig. 3g) during social assay show evidence that female mutants exhibit significantly higher social impairment compared to males. To determine whether mutants interact normally with cage-mates, test mice were challenged to interact with a cage-mate in social assay. Mutants showed a significant social deficit even with a cage-mate, a defect that was confined to the female mutants (Fig. 3i, Supplementary Fig. 6j) indicating that female mutants show higher detectable social impairment than males.
Fluoxetine treatment of Hoxb8 mutants alleviates grooming, anxiety and social impairment behaviors
We evaluated whether fluoxetine ameliorates behavioral abnormalities in Hoxb8 mutants. One week, but not one-day treatment reduced grooming time of mutants without significantly affecting the WT mice (Supplementary Fig. 7a). No sedative effect was detected as measured by locomotion and immobility between saline or fluoxetine-treated groups, implying the appropriateness of drug dosage (Fig. 4b–4c). To determine long-term effects of fluoxetine on anxiety, mutants and WT mice were chronically treated for five weeks. In plus maze test, treated mutants spent a 3.4 fold increased time in open-arm compared to saline-treated mutants (Fig. 4d). Treated mutants that spent more time at the center of the open field compared to saline treated mutants did not reach WT-levels (Fig. 4e) implying a partial rescue. When exposed to a novel intruder, treated mutants compared to WT mice spent a reduced time in empty chamber and similar time at the center or with the intruder mouse (Fig. 4g–4h) implying that the treatment resulted in improved social behaviors. To investigate if the alleviated behaviors are sustained during chronic fluoxetine treatment, mutants and WT mice were treated with fluoxetine upto thirteen weeks. Anxiety and exploratory locomotion were tested using light-dark and open field tests. The distance at the center or periphery of open field (Supplementary Fig. 7b–7c) and the time in light zone (Supplementary Fig. 7d) reached WT-like levels implying extensive rescue. Amount of time spent by mutants in light zone during light-dark exploration increased to WT-levels (Fig. 4f). These data demonstrate that fluoxetine treatment alleviates pathological grooming, anxiety and aberrant social behaviors in Hoxb8 mutants.
Discussion
Targeted disruption of Hoxb8 gene causes brain specific6,7 compulsive hair removal behavior closely resembling the OCD spectrum disorder Trichotillomania in humans21. We now show that Hoxb8 loss of function results in synaptic and physiological defects within cortico-striatal circuit. This CS defect in mutants resulted in frontal cortical synaptic expansion and striatal synaptic contraction. The increased cortical synapse and spine density within frontal cortex in conjunction with increased dendritic spines in dorso- and ventro-medial sub-regions of striatum implicate a potential increase in excitatory corticostriatal synapse.
These synaptic modifications were also detectable electrophysiologically. At circuit level we detected impaired CNQX independent striatal synaptic LTP. This plasticity may emerge from changes in presynaptic mPFC neurons synapsing onto striatal mSNs during action potential firing at frequencies that induce synaptic plasticity. mEPSC recordings from individual mSNs showed two distinct mEPSCs, higher amplitude, low-frequency and longer IEI (group 1) and the lower amplitude, high-frequency and reduced IEI (group 2) implying the sensitivity of whole-cell recordings to measure synaptic properties of MSNs.
Mutants exhibit grooming, anxiety and social behavioral impairment. Fluoxetine alleviates grooming, anxiety and social deficits in mutants similar to Sapap3, Slitrk5 and Shank3 based OCD/ASD mouse models and human OCD patients9,34,14,24–25,35–36,50–51.
A direct correlation of immune dysfunction and neuropsychiatric disorders is observed in major depression, OCD, Autism, Schizophrenia and Alzheimer’s disease38–49. Consequences of Hoxb8 gene deficiency that results in corticostriatal synaptic aberration provides an independent way that brain appear to utilize to mediate and modulate repetitive behaviors. Interestingly, the loss of Hoxb8 gene function that results in excessive grooming behavior was not restricted to repetitive behaviors since we detected fluoxetine-sensitive hyperanxiety and social behavioral deficit in Hoxb8 mutants similar to trichotillomania-type OCD patients26–27, 49–51.
Although the causative agents of the neuropsychiatric disorder in Hoxb8-mutant mice versus Sapap3, Slitrk5, and Shank3 mutant mice are very different, defective microglia versus defective synaptic components, the end results, both in terms of behavioral deficits, including high levels of anxiety and the affected neural circuits, the corticostriatal interface, are very similar. These results strongly support the hypothesis that in the absence of proper maintenance of circuit modulation by Hoxb8-microglia, very similar neural circuit damage ensues in Hoxb8, Sapap3, Slitrk5 and Shank3 mutant mice, resulting in very similar behavioral pathology.
Hoxb8 gene thus appears to play an important role in maintaining brain homeostasis in regulating corticostriatal circuit function and behavioral output. Hoxb8 gene dysfunction would alter synaptic morphology and physiological properties and thereby affect behaviors, the output of which would depend on the constellation of genetic and environmental insults pertinent to individual patient. Such models tie together immune dysfunctions, particularly pertaining to Hoxb8 gene function through microglia28–34, the brain’s immune system, with repetitive and anxiety behaviors and a spectrum of neuropsychiatric disorders.
Supplementary Material
Acknowledgments
We would like to thank A. Boulet and K. Higgins for insightful discussions on the manuscript and editing. S.K. Chen for experimental discussion; H. Eldering, Metris for technical support, Shotaro Matsuoka for genotyping, A. Gosdis, and V. Krishnegowda for their participation in early experiments. This work was supported by Seed grant and research instrumentation funding from University of Utah to N.N and M.R.C, HHMI, NIH/NEI, EY02576-36, EY015128-8 and EY014800-08 (P30) to B.W.J and R.M.
Footnotes
Conflict of Interest The authors declare no conflict of interest.
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