Abstract
We have proposed that cortical nNOS/NK1R interneurons have a role in sleep homeostasis. The hypocretins (orexins) are wake-promoting neuropeptides and hypocretin/orexin (Hcrt) neurons project to the cortex. Hcrt peptides affect deep layer cortical neurons, and Hcrt receptor 1 (Hcrtr1; Ox1r) mRNA is expressed in cortical nNOS/NK1R cells. Therefore, we investigated whether Hcrt neuron stimulation affects cingulate cortex nNOS/NK1R neurons. Bath application of HCRT1/orexin-A evoked an inward current and membrane depolarization in most nNOS/NK1R cells which persisted in tetrodotoxin; optogenetic stimulation of Hcrt terminals expressing channelrhodopsin-2 confirmed these results, and pharmacological studies determined that HCRTR1 mediated these responses. Single-cell RT-PCR found Hcrtr1 mRNA in 31% of nNOS/NK1R cells without any Hcrtr2 mRNA expression; immunohistochemical studies of Hcrtr1-EGFP mice confirmed that a minority of nNOS/NK1R cells express HCRTR1. When Hcrt neurons degenerated in orexin-tTA;TetO DTA mice, the increased EEG delta power during NREM sleep produced in response to 4 h sleep deprivation and c-FOS expression in cortical nNOS/NK1R cells during recovery sleep were indistinguishable from that of controls. We conclude that Hcrt excitatory input to these deep layer cells is mediated through HCRTR1 but is unlikely to be involved in the putative role of cortical nNOS/NK1R neurons in sleep homeostasis.
Keywords: arousal, hypocretin, nitric oxide, sleep, wakefulness
Introduction
Cortical GABAergic interneurons have been classified using morphological, neurochemical and electrophysiological criteria (Ascoli et al. 2008; DeFelipe et al. 2013) and, more recently, on the basis of single-cell transcriptomic data (Zeisel et al. 2015; Tasic et al. 2016). Using neurochemical criteria, neurons that co-express neuronal nitric oxide synthase (nNOS) and the neurokinin-1 receptor (NK1R) comprise the rarest currently known type of cortical interneuron (Kubota et al. 2011). Transcriptomic studies also indicate that cortical nNOS/NK1R interneurons, which are primarily found in the deep layers of the cerebral cortex, are a unique subpopulation of somatostatin/neuropeptide Y cells (Tasic et al. 2016). Cortical nNOS/NK1R neurons correspond to Type I nNOS cells and are unique among GABAergic interneurons in having long-range intracortical projections (Tomioka et al. 2005; Higo et al. 2007, 2009; Tomioka and Rockland 2007). Type I nNOS cells can be distinguished from the more numerous Type II nNOS cells on the basis of soma size and the intensity of staining for both nNOS and the NADPH diaphorase (Yan and Garey 1997).
In contrast to other cortical neurons, Type I nNOS cells accumulate Fos protein during sleep but not during wakefulness (Gerashchenko et al. 2008; Pasumarthi et al. 2010; Morairty et al. 2013). The proportion of nNOS cells that express Fos during sleep is proportional to the homeostatic sleep drive that accumulates during wakefulness (Morairty et al. 2013; Dittrich et al. 2015). Mice lacking nNOS have altered electroencephalographic (EEG) activity during both wakefulness and sleep, with greater EEG spectral power in the delta (0.5–4 Hz) range during wakefulness and a deficit in the low delta range of slow wave activity (0.5–2.5 Hz) during sleep; these nNOS knockout mice also have a greatly attenuated homeostatic response to sleep deprivation (Morairty et al. 2013). However, even in the absence of nNOS, cortical NK1R neurons express Fos during sleep, suggesting that Fos production in these cells is likely due to afferent activation of these cells rather than to the presence of nNOS per se (Morairty et al. 2013). Based on these observations, we have proposed that Type I cortical nNOS cells (i.e., nNOS/NK1R neurons) play a critical role in coupling homeostatic sleep drive (presumably, of subcortical origin) to EEG slow wave activity and suggested a model in which these cells are inactivated during wakefulness and activated during sleep based on putative afferent inputs (Kilduff et al. 2011).
The hypocretin/orexin (Hcrt) neuropeptides are well known to be involved in the regulation of wakefulness. Hcrt terminals innervate the deep layers of the cerebral cortex (Peyron et al. 1998) and a subpopulation of layer VIb cortical neurons respond to application of Hcrt peptides (Hay et al. 2015; Wenger Combremont et al. 2016a). Single-cell transcriptomic studies have revealed that about half of cortical nNOS/NK1R interneurons express hypocretin receptor 1 (Hcrtr1) mRNA (Tasic et al. 2016). Consequently, we evaluated whether cortical nNOS/NK1R neurons respond to HCRT1 and whether Hcrt input to these cells could play a role in homeostatic sleep regulation. We find that cortical nNOS/NK1R neurons receive Hcrt input and that HCRT1/orexin-A application affects the excitability of a subset of cortical nNOS/NK1R neurons in vitro but the absence of this input does not affect the ability of cortical nNOS/NK1R neurons to detect sleep pressure in vivo.
Materials and Methods
Animals
All rodents were maintained under 12 h light: 12 h dark conditions at 22 ± 2 °C and 50 ± 25% relative humidity with food and water ad libitum and were treated in accordance with guidelines from the NIH Guide for the Care and Use of Laboratory Animals. All protocols were approved by SRI International’s Institutional Animal Care and Use Committee. Table 1 lists the 8 strains of mice used in this study. C57Bl/6 J mice (Jackson Laboratories strain #000664; RRID:IMSR_JAX:000664) were used for in vitro electrophysiological slice recordings (P13-28, male and female). nNOS-CreER;Ai14 mice were produced by crossing nNOS-CreER (B6;129S-Nos1tm1.1(cre/ERT2)Zjh/J; Jackson Laboratories strain #014541; RRID:IMSR_JAX:014541) (Taniguchi et al. 2011) and Ai14 mice (B6;129S6-Gt(ROSA)26Sortm14(CAG-tdTomato)Hze/J; Jackson Laboratories strain #007914; RRID:IMSR_JAX:007914) (Madisen et al. 2010). This bigenic strain was crossed with Orexin-tTA mice (ox-tTA) mice (Tabuchi et al. 2013) to produce trigenic ox-tTA;nNOS-CreER;Ai14 mice that were used for optogenetic experiments (>8 weeks of age, male and female). Orexin-tTA;TetO diptheria toxin A fragment (DTA) mice (Tabuchi et al. 2014) were used to selectively degenerate Hcrt neurons after removal of doxycycline (DOX) from the chow; these mice were used for in vitro electrophysiological slice recordings (P14–23, male and female; parents were maintained as DOX(−)), histological analysis (P14–23, male and female), and EEG recordings (>42 weeks old, male, DOX(−) for 22 weeks at time of sacrifice). Age-matched monogenic littermates were used as controls for EEG studies. Lastly, brains from Hcrtr1-EGFP mice (RRID:MMRRC_030803-UCD) (Darwinkel et al. 2014; Ch’ng and Lawrence 2015), used exclusively for immunohistochemical studies, were obtained from Professor Paul Kenny, Mount Sinai, New York.
Table 1.
Name | Definition/Official Name/Source/RRID | Characteristics and use in the present study |
---|---|---|
C57Bl/6J | Jackson Laboratories strain #000664; RRID:IMSR_JAX:000664 | Wild type (WT) mice used for breeding, in vitro electrophysiological slice recordings, to assess viral expression and penetrance, and for single-cell RT-PCR |
nNOS-CreER | B6;129S-Nos1tm1.1(cre/ERT2)Zjh/J; Jackson Laboratories strain #014541; RRID:IMSR_JAX:014541 | Originally described by Taniguchi et al. (2011). When injected with tamoxifen, a ligand for the estrogen receptor (ER), Cre recombinase is induced specifically in neurons that express neuronal nitric oxide synthase (nNOS). In the present study, nNOS-CreER mice were used for breeding |
Ai14 | B6;129S6-Gt(ROSA)26Sortm14(CAG-tdTomato)Hze/J Jackson Laboratories strain #007 914; RRID:IMSR_JAX:007914 | Originally described by Madisen et al. (2010), this reporter strain expresses the red fluorescent protein tdTomato. In the present study, Ai14 mice were used for breeding with nNOS-CreER mice |
nNOS-CreER;Ai14 | Bigenic mice generated by breeding nNOS-CreER mice with Ai14 mice. In the resultant progeny, nNOS neurons express tdTomato. In the present study, nNOS-CreER;Ai14 mice were used for breeding with Orexin-tTA mice | |
Orexin-tTA | Orexin-tetracycline-controlled Transcriptional Activator (“ox-tTA” mice) | “Ox-tTA” mice were originally described by Tabuchi et al. (2013). In this strain, tTA, driven by human prepro-orexin promoter, is exclusively expressed in Hcrt/orexin neurons. In the present study, Ox-tTA mice were used for breeding, to assess viral expression and penetrance, to express ChR2 in Hcrt cells for in vitro electrophysiological slice recordings of both Hcrt and nNOS cells, and as monogenic littermate controls in the EEG studies |
Orexin-tTA; nNOS-CreER;Ai14 | “Ox-tTA;nNOS-CreER;Ai14” mice | Trigenic “ox-tTA;nNOS-CreER;Ai14” mice were generated by breeding Orexin-tTA mice with bigenic nNOS-CreER;Ai14 mice. In the present study, ox-tTA;nNOS-CreER;Ai14 mice were injected with an AAV encoding TetO-ChR2 and then used for in vitro optogenetic stimulation of Hcrt terminals and recording of cortical nNOS cells |
Orexin-tTA; TetO-DTA | Orexin-tetracycline-controlled Transcriptional Activator; Tetracycline Operator 5; Diphtheria Toxin A fragment (“DTA” mice) | These bigenic “DTA” mice were described by Tabuchi et al. (2014). tTA is exclusively expressed in Hcrt/orexin neurons. In the absence of doxycycline in the chow (“DOX(−)”), tTA binds to TetO and induces production of the toxic DTA protein in the Hcrt neurons which results in degeneration of these cells. In the present study, DTA mice were used for in vitro electrophysiology, immunohistochemistry and EEG/EMG recording |
Hcrtr1-EGFP |
|
Originally described in Darwinkel et al. (2014), the founder line (KP68Gsat/Mmucd) was from the Mutant Mouse Regional Resource Center. EGFP was inserted upstream of the Hcrtr1 gene. In the present study, Hcrtr1-EGFP mice were used for immunohistochemistry |
Stereotaxic Injections
Expression of Channelrhodopsin (ChR2) in Hcrt Neurons of the Lateral Hypothalamic Area
Male and female ox-tTA;nNOS-CreER;Ai14 mice (8–11 week old; n = 8) were anesthetized with isoflurane (5% induction, 1–2% maintenance) and shaved to remove hair from the head. Mice were placed in a stereotactic frame (David Kopf Instruments, Tujunga, CA) and body temperature was regulated with a heating pad (37 °C; T/pump, Gaymar Industries, Orchard Park, NY). The surgical site was disinfected with 3 alternating washes of 2% chlorohexidine gluconate diluted 1:50 (Henry Schein, Dublin, OH) and sterile water before a cranial incision was made. Using a pulled glass micropipette (Harvard Apparatus, Holliston, MA) and Picospritzer II (Parker Hannifin, Pine Brook, NJ), we bilaterally microinjected 200 nl (at a rate 40 nl/min) of the adeno-associated viral (AAV) vector AAV(DJ)-TetO-ChR2(ET/TC)-eYFP (from Prof. Akihiro Yamanaka, Nagoya University) into the tuberal hypothalamus at coordinates of AP-1.5 mm, ML ± 0.74 mm, DV5.1 mm (Franklin and Paxinos 2008). This AAV encodes the blue light-sensitive ChR2 under control of TetO. The pipette was withdrawn from the tissue 5 min following each injection. The skin was sutured and mice were returned to their home cage. Analgesic administration of buprenorphine (0.05–0.1 mg/kg), meloxicam (5 mg/kg) and bupivacaine (2 mg/kg) was used pre- or post-surgery. Three weeks after AAV injections, we injected tamoxifen (75 mg/kg, i.p.) to induce Cre expression in nNOS neurons. Mice were 12–15 weeks old when they were sacrificed for in vitro optogenetic studies. To assess viral expression and transduction efficiency, ox-tTA or wild type (WT) littermate mice were injected following the protocol described above (n = 2; male and female). These mice did not receive a tamoxifen injection and, 4 weeks after intracranial injection, were deeply anesthetized (see below), perfused transcardially, and the brain removed for histological processing.
Immunohistochemistry and Cell Counting
Except for Hcrtr1-EGFP mice, all mice sacrificed for histological examination received a terminal injection of SomnaSol (Henry Schein, Dublin, OH) before being transcardially perfused with PBS and heparin followed by 4% PFA. After removal of the brain, the tissue was cryprotected (30% sucrose, 0.1 M PB solution) and cut into 6 series of 30 μm thick coronal sections in preparation for immunohistochemical processing.
Antibody Characterization
The specificity of the primary goat anti-neuronal nitric oxide antibody (nNOS; Abcam Cat# ab1376; RRID:AB_300614), chicken anti-GFP (Abcam Cat# ab13970; RRID:AB_300798) and secondary antibodies were tested as previously mentioned (Williams et al. 2017). The anti-orexin-A (Santa Cruz Biotechnology Cat# sc-8070; RRID:AB_653610) and anti-orexin-B (Santa Cruz Biotechnology Cat# sc-8071; RRID:AB_653612) antisera are listed in the antibody registry database (http://antibodyregistry.org).
Hcrtr1-EGFP Mice
Paraformaldehyde-fixed brain tissue was cut into 6 series of 30 μm thick coronal sections. About 1 series of 4 sections from an adult male mouse was then processed in chicken anti-GFP (1:2000, Abcam Cat# ab13970; RRID:AB_300798) and goat anti-nNOS (1:3000, Abcam Cat# ab1376; RRID:AB_300614). The secondary antibodies used were Alexa Fluor 488 affiniPure donkey anti-chicken IgY (for GFP; 1:1000, 1 h; Jackson ImmunoResearch; RRID:AB_2340375) and Alexa Fluor® 594 affiniPure donkey anti-goat IgG (1:500, Jackson ImmunoResearch).
Channelrhodopsin-2 Expression in ox-tTA Mice
Four weeks after bilateral injection of AAV(DJ)-TetO-ChR2(ET/TC)-eYFP into the tuberal hypothalamus, mice (1 ox-tTA male; 1 WT male, both 10 weeks of age) were perfused and brain tissue prepared. About 1 series of 4 sections from each mouse was then processed with anti-orexin-A (1:3000, Santa Cruz Biotechnology Cat# sc-8070; RRID:AB_653610) and anti-orexin-B (1:3000, Santa Cruz Biotechnology Cat# sc-8071; RRID:AB_653612) antisera to detect Hcrt-expressing cell bodies before secondary detection with Alexa Fluor® 546 affiniPure donkey anti-goat IgG (1:1000, Jackson ImmunoResearch). To detect ChR2-expressing neurons, we used chicken anti-GFP (detects ChR2-eYFP, 1:1000, Abcam Cat# ab13970; RRID:AB_300798) and then Alexa Fluor® 594 affiniPure donkey anti-goat IgG (1:500, Jackson ImmunoResearch). Transduction efficiency of the ChR2-eGFP virus within the Hcrt field was calculated by counting the number of ChR2-eGFP+/HCRT1&2-immunoreactive (ir)+ cells and the total number of HCRT1&2-ir+ cell bodies and then calculating the percentage of double-labeled cells relative to the total number of Hcrt neurons. Transduction specificity was calculated as the proportion of GFP-ir+ cells that co-expressed HCRT1&2-ir+ relative to the total number of GFP-ir+ cells. The region measured included all HCRT1&2-ir+ cell bodies within the tuberal hypothalamus in the sections used for immunohistochemical quantification (Bregma: −1.34 mm to −1.58 mm) (Franklin and Paxinos 2008). Subsequent histological analysis revealed that the vast majority of transfected cells were within the lateral hypothalamic area (LHA), although some were medial to the fornix. For simplicity, we refer below to the transfected cells as from the LHA.
Hcrt Neuron Degeneration in DTA Mice
We calculated Hcrt neuron degeneration in juvenile (male and female, P21–27) mice removed from doxycycline (DOX(−); n = 4) with age-matched DOX(+) mice (male and female, P21–28; n = 3). About 1 series of 4 sections from each mouse was processed in anti-orexin-A (1:3000, Santa Cruz Biotechnology Cat# sc-8070; RRID:AB_653610) and anti-orexin-B (1:3000, Santa Cruz Biotechnology Cat# sc-8071; RRID:AB_653612) antisera to detect Hcrt-expressing cell bodies before secondary detection with Alexa Fluor® 546 affiniPure donkey anti-goat IgG (1:1000, Jackson ImmunoResearch). Two bilateral sections, per mouse, of the medial Hcrt-expressing field within the tuberal hypothalamus were taken for cell counts (Bregma: −1.34 mm to −1.56 mm) (Franklin and Paxinos 2008). The ox-tTA;TetO-DTA (“DTA”) mice and monogenic controls used in EEG studies were sacrificed at either ZT4-4.5 (SD group) or ZT5.75–6.25 (RS group). Six sections from 1 series that included the cingulate cortex were processed with rabbit anti-c-FOS (1:3000, Santa Cruz Biotechnology Cat# sc-52; RRID:AB_2106783) and goat anti-nNOS (1:3000, Abcam Cat# ab1376; RRID:AB_300614). Secondary antibodies used were donkey anti-rabbit IgG (1:1000, Jackson ImmunoResearch; RRID:AB_2340584) and donkey anti-goat IgG (1:1000, Abcam Cat# ab13970; RRID: AB_300798). C-FOS was detected with nickel-enhanced 3,3′ diaminobenzidine tetrahydrochloride (nDAB; 10 min; SK4100, Vector Laboratories) and nNOS with 3,3′ diaminobenzidine tetrahydrochloride (DAB; 4 min; SK4100, Vector Laboratories). The number of nNOS neurons and the number of nNOS cells colocalizing with c-FOS throughout the cortex, excluding the piriform, were counted (Bregma: 1.2 mm to +0.86 mm) (Franklin and Paxinos 2008). The percentage of colocalized nNOS cells per mouse was calculated and the grouped data expressed as mean ± SEM.
Post-recording Verification of Cell Phenotype
For cells collected for scRT-PCR, slices were post-fixed in 4% PFA before processing for biocytin and nNOS. Thick sections (250 μm) were incubated overnight in goat anti-nNOS (1:1000, Abcam Cat# ab1376; RRID:AB_300614) and then Alexa Fluor® 594 affiniPure donkey anti-goat IgG (1:1000, 2 h; Jackson ImmunoResearch) with streptavidin-conjugated fluorescein (DTAF; for biocytin; 1:500, 2 h; Jackson ImmunoResearch). Sections were mounted using Pro-Long® Diamond antifade mountant with DAPI (P36966, ThermoFisher Scientific) and images captured using a Nikon A1 confocal microscope system and NIS-elements software (Nikon).
Cell Counts and Tracing
Excluding images from thick sections, all other images were taken on Leica CTR 5000 microscope and superimposed in Adobe Photoshop.
Electrophysiology
Cortical Area of Interest
For in vitro recording of cortical nNOS/NK1R neurons, we targeted cells in layer V–VI at the border of the cingulum between motor cortex 1 and cingulate cortex 2 (Bregma: 0.74 mm–0.26 mm) (Franklin and Paxinos 2008). This region of interest is readily identifiable across slices, has been previously studied (Williams et al. 2017), and has a relatively dense expression of cortical nNOS/NK1R cells.
In Vitro Recording Procedures
Coronal brain slices (250 μm) were prepared in ice-cold, oxygenated (95% O2, 5% CO2) sucrose-based artificial cerebral spinal fluid (aCSF) containing (in mM): 250 sucrose, 2.5 KCl, 1.24 NaH2PO4, 10 MgCl2, 10 glucose, 26 NaHCO3, 0.5 CaCl2 (305 mOsm/L). Slices were incubated in aCSF containing (in mM): 124 NaCl, 2.5 KCl, 1.24 NaH2PO4, 1.3 MgCl2, 10 glucose, 26 NaHCO3, 2.5 CaCl2 (300 mOsm/L) at 37 °C for 15 min. Thereafter, slices were maintained and recorded at 22 °C with aCSF flow rate of ~1 ml/min.
For voltage- and current-clamp recordings, the pipette solution contained (in mM): 130 K-gluconate, 2 KCl, 3 MgCl2, 2 MgATP, 0.2 Na2GTP, 10 HEPES, 0.2 EGTA (290 mOsm/L, pH 7.3). For neurons collected for scRT-PCR, 0.3% biocytin was included in the pipette solution to facilitate post hoc identification of patched cells. All recordings were acquired with a MultiClamp 700 A amplifier, Digidata 1322 A digitizer interface and pClamp 9 software (Molecular Devices). Voltage-clamp data were sampled at 7 kHz and filtered at 3kHZ; current-clamp data were sampled at 20–25 kHz and filtered at 10 kHz. Changes in input resistance (Rin) were monitored across the experiments by injecting hyperpolarizing steps (−20 pA or −40 pA) periodically by switching from voltage-clamp mode and recording in current-clamp mode. Voltage-clamp recordings were then concatenated to remove breaks. For current-clamp recordings, nNOS neurons were recorded at their resting membrane potential (RMP). For voltage-clamp recordings, Vh was −60 mV. We measured spontaneous excitatory postsynaptic currents (sEPSCs) in the absence of tetrodotoxin (TTX) in the circulating aCSF. To measure miniature excitatory postsynaptic currents (mEPSCs), TTX (1 μM) was added to block action potential-mediated effects for at least 8 min before the start of a baseline period. Series resistance varied from 10–60 MΩ and was monitored during voltage-clamp recordings. Any neurons deviating >10% in series resistance over time were excluded from analysis; the bridge balance was maintained and monitored during current-clamp recordings. Membrane potential measurements were not corrected for the theoretical liquid junction potential of −15 mV between pipette solution and bath solution. The reference electrode was a Ag/AgCl− pellet.
Recordings of Cortical nNOS/NK1R Neurons from WT and ox-tTA Mice
Layer V–VI nNOS/NK1R neurons were identified in cortical slices from WT and ox-tTA mice following a brief bath application of the NK1R ligand, Substance P-conjugated tetramethylrhodamine (SP-TMR, 50 nM). Previous studies have established this approach to be highly selective for Type 1 nNOS/NK1R neurons (Dittrich et al. 2012; Williams et al. 2017). Following a 20 min washout period, internalization of receptor-bound fluorescent ligand enabled visualization of nNOS/NK1R cells for patch-clamp recording as described previously (Dittrich et al. 2012; Williams et al. 2017). Juvenile mice (male and female, P13-28) were used.
Recordings of Hcrt Neurons Expressing ChR2 from ox-tTA Mice
Neurons expressing ChR2 were identified by expression of eYFP. Electrical fingerprints of neurons were monitored (Williams et al. 2008) to identify likely Hcrt-expressing neurons. Current-clamp and voltage-clamp recordings were used to assess the sensitivity of ChR2 to blue light duration and intensity. Single or repetitive (1 Hz) 1 ms, 2 ms and 10 ms pulse widths were tested. ChR2-expressing neurons, axons, and terminals were activated by full-field 470 nm light pulses via a blue light-emitting diode (Lumencor Spectra light engine, Lumencor). This light source was coupled to the epifluorescence light path of an upright Leica DM LFSA microscope (Leica Microsystems, Germany). When light was applied through a 40× objective, a 1 mm wide beam with ~10 mW/mm2 power density was produced that had minimal tissue heating effects as we previously reported (Williams et al. 2014).
Recordings of Cortical nNOS Neurons from ox-tTA;nNOS-CreER;Ai14 Mice and Photostimulation of LHA Afferents
Cortical nNOS neurons in adult nNOS-CreER;Ai14 mice were identified on the basis of their anatomical location and expression of the fluorescent tdTomato marker. For current-clamp recordings, nNOS neurons were recorded at their resting membrane potential (RMP) and any deviations in membrane potential (Vm) due to photostimulation determined. For voltage-clamp recordings, Vh was −60 mV and the current evoked was recorded. Photostimulation effects on spontaneous excitatory postsynaptic currents (sEPSCo) and miniature excitatory postsynaptic currents (mEPSCo) were measured. The photostimulation protocol applied to activate ChR2 in LHA terminals was a 10 ms pulse at 1 Hz, repeated for 30 sweeps. Application of HCRTR1 (SB-334867, 10 nM; SB) and HCRTR2 (TCS OX2 29, 10 nM; TCS) antagonists were then tested to assess a possible Hcrt receptor-mediated component.
Recordings of nNOS/NK1R Cells in Juvenile Mice Subjected to Sleep Deprivation
To determine whether prolonged wakefulness affected the response of cortical nNOS/NK1R neurons to hypocretin 1 (HCRT1) application (see Results), 2 juvenile WT mice (female, P17-18) were sleep deprived from ZT0 for 4 h as previously described (Williams et al., 2017) before being sacrificed for in vitro electrophysiology.
EEG/EMG Recordings
Male DTA mice (>10 weeks of age) and monogenic ox-tTA controls were prepared for implantation of biotelemetry transmitters (F20-EET; Data Sciences International, St. Paul, MN) for chronic recording of EEG, EMG, core body temperature (Tb) and gross motor activity as previously described (Black et al. 2013, 2014). A sterile transmitter was placed intraperitoneally along the midline in each mouse and the 2 biopotential leads routed subcutaneously to the head. EMG leads were tethered bilaterally through the nuchal muscles. The cranial holes for EEG leads were located at 1 mm anterior to bregma and 1 mm lateral to midline, and, contralaterally, 2 mm posterior to bregma and 2 mm lateral to midline. Following a period of recovery, mice were then DOX(−) for 22 weeks to ensure full degeneration of Hcrt neurons and were housed with access to running wheels. These mice subsequently underwent the sleep deprivation procedures described below.
Cytoplasm Harvest and Single-cell Reverse Transcription/polymerase Chain Reaction (scRT-PCR)
At the end of whole-cell recordings (<20 min duration) to record the biophysical properties of cells in WT mice, the cytoplasmic content of SP-TMR-identified nNOS/NK1R cells was aspirated into the recording pipette. The content of the pipette was expelled into a test tube and RT was performed in a final volume of 10 μl as described previously (Lambolez et al. 1992). The scRT-PCR protocol was designed to probe simultaneously for the expression of the 2 Hcrt receptor mRNAs (Hcrtr1 and Hcrtr2) and mRNAs encoding well-established markers of cortical Type I NOS interneurons (Ascoli et al. 2008; Karagiannis et al. 2009; Dittrich et al. 2012). Neuronal markers included the vesicular Glutamate Transporter 1, the 2 isoforms of Glutamic Acid Decarboxylase (GAD65 and GAD67), Somatostatin (SOM), Neuropeptide Y (NPY), the neuronal isoform of Nitric Oxide Synthase (nNOS) and the substance P receptor (NK1R). A 2-step amplification was performed essentially as described (Cauli et al. 1997; Cabezas et al. 2013) using the primer pairs listed in Table 1. All primer pairs were designed to span introns; 10 μl of each individual PCR product were run on a 2% agarose gel stained with ethidium bromide using ФX174 digested by HaeIII as a molecular weight marker. The RT-PCR protocol was tested on 1 ng of total RNA purified from mouse whole brain. All amplicons detected were the sizes predicted from published sequences (Table 2).
Table 2.
Gene accession # | First PCR primers | Size (bp) | Second PCR nested primers | Size (bp) |
---|---|---|---|---|
GAD65 NM_008078 |
|
375 |
|
248 |
GAD67NM_008077 |
|
598 |
|
255 |
SOM NM_009215 |
|
208 |
|
146 |
NPY NM_023456 |
|
294 |
|
220 |
nNOS NM_008712 |
|
416 |
|
334 |
NK1R NM_009313 |
|
449 |
|
294 |
SOM intron X51468 |
|
240 |
|
182 |
vGLUT1 NM_182993 |
|
259 |
|
153 |
HcrtR1 NM_198959.2 |
|
327 |
|
234 |
HcrtR2 NM_198962 |
|
365 |
|
194 |
Note: Position 1, first base of the start codon.
Sleep Deprivation of Mice
For experiments related to sleep homeostasis, the reference point used was lights-on or ZT (Zeitgeber Time) 0, when sleep pressure is high. DTA mice and littermate controls were assigned to 1 of the following experimental groups: 1) 4 h sleep deprivation (SD) or 2) 4 h SD followed by 2 h recovery sleep (RS). SD was initiated at lights-on (ZT0; 9:00 am) and consisted of progressive stimulation (i.e., removal of cage lid at the beginning of the session, followed by light cage tapping or presentation of toys in the middle and, if required, gentle stroking of vibrissae with a brush towards the end of the SD period) in the home cage to keep mice awake for the 4 h duration. Mice in the recovery sleep (RS) group were undisturbed for 2 h after the 4 h SD period. At the end of the SD or RS period, mice were deeply anesthetized (see below), perfused transcardially and the brain removed for histological processing.
Chemicals
Hypocretin 1 (HCRT1; hypocretin 1 peptide, 100 nM), SB-334867 (SB; HCRTR1 antagonist, 10 nM), TCS OX2 29 (TCS; HCRTR2 antagonist, 10 nM), bicuculline methobromide (BIC; GABAAR antagonist, 10 μM), 2-hydroxysaclofen (2-HS; GABABR antagonist, 5 μM), DL-AP5 (AP-5; NMDAR antagonist, 100 μM), and CNQX disodium salt (CNQX; AMPA/KA receptor antagonist, 7 μM) were from Tocris. Tetrodotoxin (TTX; 1 μM) was from abcam. All other chemicals were from Sigma-Aldrich.
Data Analyses and Statistics
In Vitro Electrophysiology
Patch-clamp recording data were analyzed using Clampfit 9 (Molecular Devices) and synaptic events using MiniAnalysis (Synaptosoft). The nonparametric Kolmogorov–Smirnov test (K–S test; MiniAnalysis) was used to quantify the effects of bath applied pharmacological treatments (5–10 min post HCRT1 application to encapsulate peak effect, unless otherwise stated) or photostimulation on sEPSC and mEPSC frequency for each group. For EPSC ANOVA analysis, peak effects were measured at 6–9 min post HCRT1 application unless otherwise stated. Sample traces were generated with Igor Pro v6 (WaveMetrics) and graphs produced with Prism 5 (GraphPad). For other cells, Vm was taken in 30 s bins for a minimum period of 4 min prior to intervention. These data were then used to calculate the average baseline Vm or resting membrane potential (RMP). The effects of interventions on Vm were compared to this average baseline and the delta calculated. For voltage-clamp analyses, cells were included if the peak current was greater than the mean ± 2*SD of the preceding baseline value. The baseline for all cells tested was −2.04 ± 6.74 pA (mean ± SD). To assess characteristics of glutamatergic events between genotypes, 200 events per baseline period were taken for analysis. Unless otherwise stated, data are presented as mean ± SEM with n = number of cells per group (represented in parenthesis for figures). We compared group means from the same cells using paired t-tests or 1-way ANOVA followed by Newman–Keuls post hoc tests; changes over time were analyzed by repeated measures (RM)-ANOVA or 2-way ANOVA followed by the Bonferroni or Newman–Keuls post hoc test; different groups of cells were then compared using unpaired t-tests. For EEG parameters, 2-way ANOVA with Bonferroni post hoc tests were performed. A statistical significance threshold of P < 0.05 was used.
Sleep/wake Recordings
EEG data from DTA mice and monogenic ox-tTA controls were scored in 10 s epochs by experts (≥96% inter-rater reliability) using NeuroScore 2.1 (Data Sciences). Epochs were classified as wakefulness (mixed-frequency, low-amplitude EEG and high-amplitude, variable EMG); wakefulness with wheel-running, REM sleep (theta-dominated EEG and EMG atonia); NREM sleep (low-frequency, high-amplitude EEG and low-amplitude, steady EMG); or cataplexy. Criteria for cataplexy were ≥10 s of EMG atonia, theta-dominated EEG, and video-confirmed behavioral immobility preceded by ≥40 s of W (Scammell et al. 2009). Data were analyzed as time spent in each scored classification per category (SD or RS). For the RS group, the final 90 min period of the 2 h sleep opportunity period was scored. To assess sleep intensity, EEG spectra during NREM sleep were computed using the fast Fourier transform algorithm in NeuroScore (Data Sciences) on all 10 s epochs without visually detectable artifact. EEG delta power (0.5–4 Hz) in NREM sleep (NRD) was calculated. NRD power was then multiplied by the time (h) spent in NREM sleep to calculate NRD energy (NRDE). Results were tested for significance by 2-way ANOVA with genotype and “sleep condition” (SD, RS) as factors. When ANOVA indicated significance, contrasts between relevant factor levels were detected with post hoc Bonferroni t-tests with α = 0.05.
Results
Cortical nNOS/NK1R Neurons are Excited by Hypocretin 1 in the Mouse
Previous studies (Hay et al. 2015; Wenger Combremont et al. 2016a, 2016b) have shown that neurons located in deep cortical layers were responsive to bath application of either hypocretin 1 or hypocretin 2 (also known as orexin-A and orexin-B, respectively). Therefore, we investigated whether cortical nNOS/NK1R neurons were also responsive (Fig. 1Ai). We identified nNOS/NK1R neurons in layers V–VI of the cingulate cortex using the fluorescent NK1R ligand SP-TMR (50 nM) (Fig. 1Aii–iii). Bath application of hypocretin 1 (HCRT1, 100 nM) predominantly evoked an inward current in voltage-clamp recordings (−12.87 ± 2.39 pA, n = 10 of 15; paired t-test, t(9) = 5.16, P = 0.0006; Fig. 1B and H). This coincided with a membrane (Vm) depolarization in current-clamp (BL: −64.75 ± 1.44 mV vs. HCRT1: −60.71 ± 1.92 mV, paired t-test, t(8) = 3.96, P = 0.004; Fig. 1C and I) and a small but non-significant increase in firing rate (BL: 9.69 ± 1.67 Hz vs. HCRT1: 12.59 ± 0.82 Hz n = 5; 1-way ANOVA, F(2,14) = 2.49, P = 0.14). The remaining cells in both recording modes did not show any significant change in current or membrane potential responses to HCRT1 application relative to baseline.
Since multiple cell types in the cortex show sensitivity to application of hypocretin peptides (Lambe and Aghajanian 2003; Bayer et al. 2004; Hay et al. 2015; Wenger Combremont et al. 2016a), there may be indirect influences on cortical nNOS/NK1R activity. Therefore, we applied HCRT1 in the presence of the Na+-channel blocker tetrodotoxin (TTX; 1 μM) to block HCRT1-mediated action potential dependent effects. As indicated in Figure 1D, HCRT1 also evoked an inward current in TTX (∆−7.96 ± 0.92 pA; n = 17 of 19; paired t-test, t(16) = 8.72, P < 0.0001) as well as Vm depolarization (∆+3.54 ± 0.46 mV, n = 9 of 14; Fig. 1E and I), neither of which were significantly different from HCRT1 responses in normal aCSF (I: 1-way ANOVA, F(2,32) = 0.90, P = 0.41; Vm: 1-way ANOVA, F(2,21) = 0.74, P = 0.48). Changes in input resistance under TTX indicated a closure of channels with HCRT1 application in most cells (BL: 333.1 ± 27.55 MΩ vs. HCRT1: 356.6 ± 26.75 MΩ, n = 5; 1-way ANOVA, F(2,14) = 7.46, P = 0.01). To confirm a true postsynaptic response, we applied HCRT1 in 0 Ca2+/3.3 Mg2+ aCSF containing TTX, blockers for both glutamate (CNQX, 7 μM and AP-5, 100 μM) and GABA (BIC, 10 μM and 2-HS, 5 μM) (Fig. 1F and G). Under these conditions, significant excitation responses remained (∆−7.44 ± 0.75 pA; n = 6 of 7, and ∆+2.27 ± 0.39 mV; n = 4 of 6; Fig. 1H and I).
Previously, we found that the effects of the cholinomimetic carbachol on nNOS/NK1R excitability were largely unchanged with sleep deprivation (Williams et al. 2017). Therefore, we were interested to determine whether or not responses to HCRT1 were affected by a similar challenge to the sleep homeostatic system. We assessed whether HCRT1 could evoke a response on cortical nNOS/NK1R neurons in brain tissue taken from mice previously subjected to 4 h sleep deprivation (4 h SD). In 4 h SD mice, HCRT1-evoked current and membrane depolarization responses in TTX were not significantly different from baseline (BL: −63.99 ± 5.71 mV vs. HCRT1: −62.45 ± 6.43 mV, paired t-test, t(2) = 2.06, P = 0.18; and BL: −3.13 ± 0.29 pA vs. HCRT1: −4.27 ± 0.59 pA, paired t-test, t(2) = 1.92, P = 0.19). This contrasts significantly from the HCRT1-mediated responses obtained in undisturbed mice (Fig. 1H; 1-way ANOVA, F(2,32) = 4.39, P = 0.02; I: ∆−1.14 ± 0.59 pA; n = 3, unpaired t-test, t(18) = 2.90, P = 0.009; and Vm: ∆+1.34 ± 0.65 mV; n = 3, unpaired t-test, t(10) = 2.49, P = 0.03; Fig. 1H–I). These results demonstrate that HCRT1 directly affects cortical nNOS/NK1R neurons and that the response of these cells to HCRT1 is dependent on prior sleep/wake history.
Hypocretin 1 Affects Cortical nNOS/NK1R Neurons Predominantly via HCRTR1
HCRTR1 and HCRTR2 are G protein-coupled receptors that mediate the main effects of HCRT1; both receptors have been localized in the mouse cerebral cortex (Mishima et al. 2008). Therefore, we used antagonists for both receptors, SB-334867 (SB; HCRTR1 antagonist, 10 nM) and TCS OX2 29 (TCS; HCRTR2 antagonist, 10 nM; Fig. 2A), to investigate the mode of HCRT1 action on cortical nNOS/NK1R neurons.
As indicated in Figure 2A and B, HCRTR antagonists had significant effects on responses to HCRT1 in both voltage-clamp (1-way ANOVA, F(3,26) = 9.34, P = 0.0003) and current-clamp (1-way ANOVA, F(3,24) = 13.63, P < 0.0001). Application of SB in TTX significantly reduced the HCRT1-mediated inward current by 63% (∆−2.88 ± 1.01 pA; n = 5, 1-way ANOVA with Newman–Keuls post hoc test, P < 0.05). Vm depolarization was significantly reduced by 76% (∆+0.75 ± 0.33 mV; n = 4, 1-way ANOVA with Newman–Keuls post hoc test, P < 0.001). In comparison, pre-application of TCS had no effect on HCRT1-induced current (∆−5.88 ± 1.00 pA, n = 4; 1-way ANOVA with Newman–Keuls post hoc test, P > 0.05) or Vm (∆+3.15 ± 0.51 mV; n = 4, 1-way ANOVA with Newman–Keuls post hoc test, P > 0.05). In the presence of both antagonists (+SB/TCS) HCRT1-mediated current and Vm were blocked (I: ∆−0.25 ± 0.92 pA; n = 9, 1-way ANOVA with Newman–Keuls post hoc test, P < 0.001; Vm: ∆+0.01 ± 0.49 mV; n = 8, 1-way ANOVA with Newman–Keuls post hoc test, P < 0.001). These results indicate that HCRT1 primarily affects cortical nNOS/NK1R neurons via HCRTR1.
A Role for HCRTR1 Signaling in Cortical nNOS/NK1R Neurons of the Cingulate Cortex
Immunohistochemical analysis of brain tissue from Hcrtr1-EGFP mice documented that deep layer cortical nNOS neurons colocalized with GFP immunoreactivity, largely limited to cingulate cortical cells (Fig. 2C). Notably, there were significantly greater proportions of other cells in this region expressing GFP immunoreactivity signal close to cortical nNOS cells. To further identify whether HCRTR1 was expressed in cortical nNOS/NK1R neurons, we performed single-cell reverse transcription polymerase chain reaction (scRT-PCR) on the cytoplasmic contents of SP-TMR identified cortical nNOS/NK1R neurons (Fig. 2D). Of 13 cortical nNOS/NK1R cells collected, 4 cells (31%) expressed Hcrtr1 mRNA. This proportion is consistent with other observations that less than half of cortical neurons expressing both Nos1 and Tacr1 mRNA also express Hcrtr1 mRNA (Tasic et al. 2016; Paul et al. 2017). These data suggest that cortical nNOS/NK1R cells mediate HCRTR1 effects in the cingulate cortex, yet form a minor subset of other HCRTR1-expressing neurons.
HCRT1-mediated Regulation of Glutamatergic Input to Cortical nNOS/NK1R Cells
Following application of HCRT1, some cortical nNOS/NK1R cells underwent a burst-like increase in EPSCs. Therefore, we assessed whether HCRT1 had any effects on glutamatergic tone (Fig. 3). We found that a main effect of HCRT1 application was a reduction in sEPSC activity (80.85 ± 1.93%, RM-ANOVA, F(2,20) = 12.49, P = 0.001; n = 6; Fig. 3A; K–S test = 0.02). In TTX (1 μM), HCRT1 did not have a discernible effect on mEPSC activity compared to baseline at the time point measured (6–9 min post-application; 104.3 ± 1.33%, n = 14; RM-ANOVA, F(2,20) = 0.59, P = 0.57; Fig. 3B; K–S test = 0.09).
Since we did not find a consistent effect of HCRT1 on glutamatergic input, the burst-like increase in EPSCs could be due to variations in presynaptic HCRTR distribution on glutamatergic terminals. Therefore, we examined the effect of HCRTR1 and HCRTR2 antagonists on mEPSC activity. In the presence of SB-334867 (+SB; 10 nM), HCRT1 increased mEPSC frequency (131.1 ± 4.75%, n = 5; RM-ANOVA, F(2,20) = 13.34, P = 0.0027; Fig. 3C; K–S test = 0.0002) relative to baseline (BL −4 to −1 min: 110.0 ± 3.35%, n = 5). In the presence of TCS OX2 29 (TCS; 10 nM), HCRT1 also increased the frequency of mEPSCs (BL: 97.12 ± 3.21% and +TCS: 121.6 ± 6.34%, n = 3; RM-ANOVA, F(2,20) = 7.93, P = 0.006; Fig. 3D; K–S test = 0.001) but the time course of the increase was delayed relative to blockade by SB-334867. When both antagonists were pre-applied, HCRT1 did not significantly change mEPSC frequency (BL: 99.05 ± 1.47% vs. +SB/TCS: 105.5 ± 4.64%, n = 7; RM-ANOVA, F(2,20) = 1.43, P = 0.28; Fig. 3E; K–S test = 0.25).
There was no significant effect of HCRT1 application on the amplitude of sEPSCs (meanBL: 7.55 ± 0.05 pA and meanHCRT1: 7.68 ± 0.09 pA; K–S test: 0.53) or mEPSCs (meanBL: 8.84 ± 0.09 pA and meanHCRT1: 8.92 ± 0.32 pA; K–S test = 0.53). Nor was there an effect of the HCRTR antagonists on mEPSC amplitude at the time where the peak change in frequency was recorded (+SB: meanBL: 8.08 ± 0.42 pA and meanHCRT1: 8.17 ± 0.29 pA; K–S test = 0.25; +TCS: meanBL: 10.09 ± 0.11 pA and meanHCRT1: 10.22 ± 0.21 pA; K–S test = 0.99; +SB/TCS: meanBL: 8.22 ± 0.11 pA and meanHCRT1: 8.13 ± 0.08 pA; K–S test = 0.87). Overall, these data suggest that both HCRTR1 and HCRTR2 negatively modulate glutamatergic tone onto cortical nNOS/NK1R neurons.
Expression of Channelrhodopsin-2 in Hcrt Neurons
To evaluate the functionality of the hypocretinergic effect on cingulate cortex nNOS/NK1R neurons, we bilaterally injected AAV(DJ)-TetO-ChR2(ET/TC)-eYFP (200 nl per side) into the tuberal hypothalamus of ox-tTA;nNOS-CreER;Ai14 mice (Fig. 4Ai) followed by tamoxifen injection (75 mg/kg, i.p.) 3 weeks later. As indicated above, the vast majority of transfected cells were in the LHA so, for simplicity, we refer below to the transfected cells as from the LHA. In ox-tTA;nNOS-CreER:Ai14 mice, we optically stimulated the ChR2-expressing LHA neurons to assess temporal sensitivity of the ChR2 to blue light (470 nm) application (Fig. 4B). In voltage-clamp, a 2 ms pulse width (1 Hz for 30 s) application of blue light at different LED power intensities indicated that the greatest change in Io occurred between 2–5% LED power intensities, whereas >5% power approached Io saturation levels (Io; RM-ANOVA with Newman–Keuls, F(5,25) = 41.65, P < 0.0001). For current-clamp, the same protocol revealed significant differences in light-evoked membrane depolarization (Vmo). At LED power intensities <5%, each step-increment in power significantly increased Vmo while changes in Vmo approached saturation at LED power intensities >5% (RM-ANOVA with Newman–Keuls, F(5,25) = 29.64, P <0.0001; Fig. 4Bi), suggesting a saturation effect or membrane depolarization block. We also tested a 10 ms pulse width (1 Hz for 30 s; Fig. 4Bii) and found that it evoked significantly greater current (∆−634 ± 98.58 pA) than a 2 ms pulse (∆−219 ± 67.72 pA) at the same intensity (2%; paired t-test, t(5) = 3.91, P = 0.01). In comparison, no significance difference occurred in Vmo (10 ms: ∆+36.6 ± 8.67 mV vs. 2 ms: ∆+25.1 ± 6.58 mV; paired t-test, t(3) = 1.19, P = 0.32). Action potentials (single or multiple) concurrent with blue light stimulation were evoked in 3 of 4 ChR2-expressing cells, with a mean decay time of 23.5 ± 5.45 ms. These data indicate successful expression of ChR2 in neurons of the LHA.
For histological verification, we bilaterally injected the same AAV(DJ)-TetO-ChR2(ET/TC)-eYFP into the LHA of ox-tTA and WT mice and, after a 4 week in vivo incubation period, confirmed ChR2 expression in Hcrt neurons (Fig. 4C) of the LHA. The transduction efficiency of ChR2 to Hcrt neurons was significantly greater in the ox-tTA mice compared to WT mice (60.3 ± 10.7% and 26.2 ± 8.0%, respectively; P = 0.04). The specificity of ChR2 to Hcrt neurons was 79.7 ± 3.0% in ox-tTA mice. In both genotypes, the number of Hcrt neurons counted for analysis was comparable (ox-tTA: 83.2 ± 9.70 and WT: 99.7 ± 11.17). These data indicate that viral expression of ChR2 is primarily directed to Hcrt-containing neurons but that the viral construct is not completely dependent upon a functional tTA-TetO system since ChR2 expression occurred, to some extent, in WT mice. Nonetheless, ChR2 expression in the Hcrt field of ox-tTA mice is comparable to that of other AAVs used in different mouse models (Sasaki et al. 2011).
Next, we assessed whether we could photoevoke responses in cortical nNOS/NK1R neurons by terminal stimulation of LHA afferents. These experiments were performed after bilateral injection of ChR2 into the LHA of ox-tTA;nNOS-CreER:Ai14 mice (Fig. 4Di), which resulted in ChR2 projection fibers in the cingulate cortex (Fig. 4Dii). Since there were no Hcrt cell bodies in our slice preparations of the cingulate cortex, we utilized a photostimulation protocol of 10 ms pulse width at 100% LED power (1 Hz for 30 s) to promote depolarization of terminals in the absence of cell-body driven terminal release of neurotransmitters (Fig. 5A). This protocol was chosen based on the finding that a 10 ms light pulse of ChR2-cell bodies in the LHA evoked considerably greater current in LHA neurons than the 2 ms pulse width and, therefore, should ensure maximal photostimulation of the distant terminals in slices lacking the LHA ChR2-cell bodies. Similar illumination levels have previously been employed in studies of corticopedal projections (Hay et al. 2015; Williams et al. 2017). Examples of voltage-clamp recordings from cortical nNOS/NK1R cells before and after photostimulation of terminal Hcrt-containing LHA afferents are shown in Figure 5Aiii and iv shows 20 s recordings of EPSC activity. Among the nNOS/NK1R cells analyzed, only 3 of 10 cells tested had significant inward currents to blue light stimulation (∆Io: −6.68 ± 0.29 pA; paired t-test, t(2) = 6.05, P = 0.03; responses denoted in black in Fig. 5Av). When photostimulation was repeated in the presence of TTX (1 μM) and 4-aminopyridine (4-AP; 0.5 μM), only 2 of 7 cells had significant inward currents (∆Io: −4.63 ± 0.10 pA). When photostimulation was repeated with the pre-application of HCRTR antagonists (+SB/TCS), no cells tested had measureable Io (BL: −2.34 ± 0.10 pA and Io: −2.67 ± 0.57 pA, n = 7; paired t-test, t(6) = 0.88, P = 0.41), including the 2 cells that had previously exhibited a detectable current.
We next analyzed the effect of photostimulation on glutamatergic tone onto cortical nNOS/NK1R cells as, on occasion, there were noticeable changes in EPSC activity during the course of recording (Fig. 5Aiv). Blue light stimulation evoked time-locked sEPSC activity in 4 of 13 cortical nNOS/NK1R cells (Fig. 5B). In addition, sEPSC frequency (BL: 1.3 ± 0.03 Hz) significantly increased following photostimulation ~6 min post-stimulation (127.3 ± 3.38%; n = 13, RM-ANOVA with Newman–Keuls post hoc test, F(2,10) = 10.16, P = 0.004; K–S test < 0.00001). In comparison to sEPSC activity, there were no cells recorded in the presence of TTX and 4-AP that demonstrated discernible time-locked mEPSC activity (Fig. 5C). Nevertheless, the frequency of mEPSC activity increased significantly after photostimulation (127.3 ± 3.38%; n = 7, RM-ANOVA with Newman–Keuls post hoc test, F(2,10) = 2.65, P = 0.0009; K–S test = 0.002). Pre-application of HCRTR antagonists SB-334867 and TCS OX2 29 (+SB/TCS; Fig. 5D) blocked the increase in mEPSC frequency seen with blue light stimulation of LHA afferents (99.66 ± 4.62%; n = 7, RM-ANOVA with Newman–Keuls post hoc test, F(2,10) = 0.37, P = 0.7; Fig. 3F; K–S test = 0.73). There was no effect of photostimulation on sEPSC amplitude (BL: 8.78 ± 0.11 pA; K–S test = 0.54), mEPSC amplitude (BL: 7.17 ± 0.09 pA; K–S test = 0.03), or in the presence of HCRTR antagonists (BL: 7.49 ± 0.15 pA; K–S test: 0.99). Together, these results demonstrate that stimulation of LHA afferents to the cingulate cortex, likely from Hcrt neurons, predominately increased presynaptic glutamatergic input onto cortical nNOS/NK1R neurons, with a small minority (28%) of nNOS/NK1R cells demonstrating a Hcrt-mediated postsynaptic current.
Hcrt Neuron Degeneration Affects Cortical nNOS/NK1R Neurons
To evaluate the functionality of Hcrt innervation of cingulate cortex nNOS/NK1R neurons, we assessed the electrical properties of these neurons in ox-tTA;TetO-DTA mice in which Hcrt neuron degeneration can be induced. Male and female breeders were paired and taken off chow containing doxycycline (DOX(−)), facilitating the expression of diptheria toxin fragment A (DTA) leading to Hcrt cell loss (Tabuchi et al. 2014). The resultant ox/tTA;TetO-DTA offspring (DTA+; male and female, P21 and P28) were taken for ex vivo electrophysiology (Fig. 6Ai) or histology (Fig. 6Aii; n = 4). To verify Hcrt cell loss, mice whose parents remained on DOX for conception and weaning (DOX(+); n = 3) were used as controls and age-matched to examine histological differences. DOX(−) pups had significantly fewer Hcrt cells than DOX(+) pups (20.3 ± 4.0 vs. 97.8 ± 25.9 cells, t(5) = 3.50, P = 0.02), controlled for anatomical location. This significant reduction of the number of Hcrt cells was accompanied by a clear difference in Hcrt staining intensity between the 2 groups (Fig. 6Aii).
To determine whether this reduction in the number of Hcrt neurons and thus Hcrt afferents to the cortex affected the properties of cortical nNOS/NK1R neurons, we compared the RMP and resistance of cortical nNOS/NK1R cells between DOX(−) DTA and WT mice (P21–28). Although there was no difference between genotypes in RMP (WT: −52.7 ± 2.70 mV, n = 11 vs. DTA: −51.3 ± 2.78 mV, n = 13; unpaired t-test, t(22) = 0.37, P = 0.72), input resistance was significantly higher in DOX(−) DTA mice (WT: 411.6 ± 50.94 MΩ, n = 10 vs. DTA: 820.7 ± 135.5 MΩ, n = 11; unpaired t-test, t(19) = 2.72, P = 0.01).
Analysis of glutamatergic input onto cortical nNOS/NK1R neurons also revealed differences between genotypes. Although the sEPSC frequency did not differ (WT: 2.51 ± 0.84 Hz, n = 11 vs. DTA: 1.54 ± 0.36 Hz, n = 9; unpaired t-test, t(18) = 0.97, P = 0.34), the mean sEPSC amplitude was greater in DTA mice (WT: 7.76 ± 0.08 pA, n = 11, vs. DTA: 8.56 ± 0.09 pA, n = 9; unpaired t-test, t(398) = 6.55, P < 0.0001; Fig. 6B). The frequency of mEPSCs was significantly reduced in DOX(−) DTA mice (WT: 2.01 ± 0.29 Hz, n = 12 vs. DTA: 1.12 ± 0.18 Hz, n = 7; unpaired t-test, t(17) = 2.12, P = 0.04) and the mean mEPSC amplitude was also greater (WT: 7.18 ± 0.06 pA, n = 12 vs. DTA: 7.57 ± 0.09, n = 7; unpaired t-test, t(398) = 3.25, P = 0.001; Fig. 6C). Within genotype comparisons revealed that TTX significantly reduced the amplitude of events (WT: unpaired t-test, t(399) = 3.32, P = 0.0001; DTA: unpaired t-test, t(399) = 3.68, P = 0.0003) but not event frequency (WT: unpaired t-test, t(21) = 0.57, P = 0.57; DTA: unpaired t-test, t(14) = 0.96, P = 0.35). These data indicate that a chronic loss of Hcrt input can affect glutamatergic input to cortical nNOS/NK1R cells.
Reduction of Hcrt afferents to the cortex via Hcrt cell body degeneration in DOX(−) DTA mice may affect the sensitivity of the response by cortical nNOS/NK1R neurons to Hcrt release. Therefore, we bath applied HCRT1 to investigate if any changes occurred. In voltage-clamp, only 2 of 7 cortical nNOS/NK1R neurons had discernible currents (∆−4.14 ± 0.55 pA; Fig. 6D) and, in TTX (1 μM), the proportion of responders was 1 in 5 (∆−5.83 pA; Fig. 6E). When we analyzed sEPSC activity, HCRT1 significantly reduced glutamatergic input (80.31 ± 5.27% at 8–11 min post-application relative to baseline; n = 4, RM-ANOVA, F(2,12) = 5.40, P = 0.020; Fig. 4E; K–S test = 0.0004). HCRT1 also significantly reduced the amplitude of events onto cortical nNOS/NK1R cells to 8.23 ± 0.2 pA (88.79 ± 1.81% at 8–11 min post-application relative to baseline; n = 4, RM-ANOVA, F(2,12) = 11.49, P = 0.002; K–S test = 0.001; Fig. 6Diii). In comparison, we found no change in mEPSC frequency following HCRT1 application (101.6 ± 9.33% at 8–11 min post-application relative to baseline; n = 4, RM-ANOVA, F(2,12) = 1.67, P = 0.38; K–S test = 0.26; Fig. 6Eiii) and no significant change in event amplitude (9.93 ± 0.15 pA) compared to baseline (103.0 ± 1.68% at 8–11 min post-application relative to baseline; n = 4, RM-ANOVA, F(2,12) = 3.03, P = 0.08; K–S test = 0.87). Membrane resistance changes indicated that a closure of membrane channels likely occurred following HCRT1 application (BL: 433.6 ± 157.3 MΩ vs. HCRT1: 496.9 ± 183.1 MΩ; n = 4; RM-ANOVA, F(2,11) = 4.86, P = 0.055). These data indicate that a chronic loss of Hcrt input can also affect the sensitivity of the response by cortical nNOS/NK1R neurons to Hcrt release.
Hcrt Neuron Degeneration Does Not Affect Sleep Homeostasis or Sleep-related Expression of c-FOS in Cortical nNOS/NK1R Neurons
Since cortical nNOS/NK1R neurons have been implicated in sleep homeostasis, we investigated whether the loss of Hcrt input and the consequent alterations in activity of these cells described above affected EEG slow wave activity and the previously reported increases in c-FOS expression within these neurons during recovery sleep. Thus, we compared the responses of Hcrt-deficient DOX(−) DTA mice and Hcrt-intact monogenic control (MC) mice to sleep deprivation and recovery sleep. All mice had been off DOX for >22 weeks, well beyond the reported time required (4 weeks) for >97% degeneration of the Hcrt neuronal field; monogenic control (MC) mice lacked the paired tTA and TetO transgenes that permit Hcrt neurodegeneration (Tabuchi et al., 2014). Sleep deprivation (SD) occurred at a time of day (ZT0-4) during which the homeostatic drive to sleep is high in mice. Mice were sacrificed either immediately after SD, or after a 2 h recovery sleep (RS) period. Immunohistochemistry was performed on brain sections from both groups to determine the percent of cortical nNOS/NK1R neurons that expressed c-FOS (Fig. 7A).
The percentage of time in each arousal state, the corresponding measures of sleep intensity and the percentage of cortical nNOS/NK1R neurons that expressed c-FOS during the 90 min prior to sacrifice for the 4 experimental groups are shown in Table 3 and Figure 7B. For all parameters except cataplexy, 2-way ANOVA revealed significant variation with a main effect of “sleep condition” without an effect of genotype or any genotype x condition interaction. The amount of NREM sleep lost and recovered did not depend on genotype; thus, the SD procedure was effective and equivalent between DTA and MC mice. Since DOX(−) DTA mice were more difficult to keep awake than the MC mice, the DTA mice exhibited enough additional epochs of NREM sleep that NREM delta power could be measured during SD. Nonetheless, during the subsequent 2 h RS period after the 4 h SD, NREM delta power did not differ between genotypes. In addition, there was no effect of genotype on NREM delta energy (NRDE; Fig. 7B, left panel). An increased percentage of c-FOS+/nNOS cells were observed during RS compared to SD in both genotypes but the proportion of c-FOS+ nNOS neurons was comparable in these 2 strains (Fig. 7B, right panel). These results indicate that sleep-dependent activation of cortical nNOS/NK1R neurons is independent of Hcrt input.
Table 3.
Sleep deprivation | Recovery sleep | 2-way ANOVA | P | |||
---|---|---|---|---|---|---|
MC (n = 4) | DTA (n = 5) | MC (n = 3) | DTA (n = 7) | |||
Total Sleep % Time | 2.2 ± 1.0 | 3.5 ± 1.5 | 83.3 ± 1.7 | 71.7 ± 4.9 | F(1, 15) = 336.2 | 0.0001 |
NREM % Time | 2.2 ± 1.0 | 3.5 ± 1.5 | 77.8 ± 3.6 | 68.7 ± 4.7 | F(1, 15) = 313.48 | 0.0001 |
REM % Time | 0 | 0 | 5.6 ± 1.9 | 3.0 ± 0.7 | F(1,15) = 27.79 | 0.0001 |
Cataplexy % Time | 0 | 1.9 ± 1.1 | 0 | 0.5 ± 0.2 | F(1, 15) = 1.25 | n.s. |
NREM δ Power (μV2) | 0 | 182.1 ± 96.9 | 397.4 ± 128.7 | 377.8 ± 79.2 | F(1,15) = 10.35 | 0.0058 |
% c-FOS/nNOS | 11.5 ± 1.5 | 14.0 ± 1.4 | 76.7 ± 2.3 | 72.7 ± 4.1 | F(1,14) = 274.71 | 0.0001 |
Data are mean ± S.E.M.
MC, monogenic controls; DTA, orexin/tTA;TetO-DTA mice.
Bold font = main effect for sleep condition; no interaction or effect of genotype.
Discussion
The hypocretin/orexin system is well known to be involved in maintenance of vigilance state. During spontaneous wakefulness and during sleep deprivation, c-FOS expression increases in Hcrt-containing neurons (Estabrooke et al. 2001), suggesting increased electrical activity of these cells. Hcrt-containing fibers innervate the cortex (Peyron et al. 1998; Jin et al. 2016) and Hcrt peptides are known to excite cortical neurons (Lambe and Aghajanian 2003), including deep layer neurons (Bayer et al. 2004; Hay et al. 2015; Wenger Combremont et al. 2016a, 2016b). Lastly, transcriptomic studies have provided evidence for Hcrtr1 mRNA expression in cortical nNOS/NK1R neurons (Tasic et al. 2016; Paul et al. 2017). Consequently, we determined whether HCRT1 affects cortical nNOS/NK1R cells and whether Hcrt innervation contributes to sleep homeostasis-related activation of these cells (Gerashchenko et al. 2008; Morairty et al. 2013). The cingulate cortex was investigated as this region contains numerous cortical nNOS/NK1R neurons for targeting and has been implicated as sleep-active in primates (Rolls et al. 2003) yet also plays a role in sustaining arousal in a novel environment (Gompf et al. 2010). In addition, the cell density of this region is reduced in patients with narcolepsy (Joo et al. 2011) and a reduction in somatostatin expression occurs in major depressive disorder, where sleep disturbances of both hypersomnia and insomnia are reported (Mendlewicz 2009; Tripp et al. 2011). Therefore, an interaction between the wake-promoting Hcrt system and sleep-active nNOS/NK1R cells in this cortical region could underlie all of these reported findings.
Cortical nNOS/NK1R Neurons are Excited by HCRT1
Bath application of HCRT1 (100 nM) evoked an inward current and membrane depolarization of cortical nNOS/NK1R neurons which was postsynaptic and predominantly HCRT1R-mediated. This response was not seen in cortical tissue from mice deprived of sleep for 4 h, consistent with optogenetic studies that suggest sleep pressure reduces the effectiveness of Hcrt signaling (Carter et al. 2009). HCRT1 reduced action potential-derived synaptic release of glutamate onto cortical nNOS/NK1R neurons but appeared to have little direct effect on presynaptic terminals. When HCRT1 was applied in the presence of TTX, blockade of HCRTR1 or HCRTR2 significantly increased EPSC frequency, while there was no effect on EPSC amplitude. These effects suggest that presynaptic glutamatergic tone onto cortical nNOS/NK1R neurons may be negatively regulated by both receptors, possibly on different terminals as the temporal dynamics in the recorded EPSC frequency change was different with each HCRTR antagonist.
Optogenetic targeting of Hcrt neurons and photostimulation of Hcrt terminals in the cingulate cortex supported the possibility of endogenous Hcrt signaling onto cortical nNOS/NK1R neurons. The number of cells with measurable current was lower than with HCRT1 bath application (without TTX: 30%) but consistent in TTX (~28%). Since we did not have 100% transduction efficiency of LHA Hcrt neurons and we do not know the relative proportion of Hcrt neurons that project to the cingulate cortex, a lower response rate of cortical nNOS/NK1R cells to photostimulation compared to pharmacological experiments was not unexpected. Nevertheless, we did not find any cortical nNOS/NK1R cells that responded to photostimulation in the presence of HCRTR antagonists, including cells that had previously demonstrated photo-evoked current. Photostimulation also increased glutamatergic input onto cortical nNOS/NK1R cells and HCRTR antagonists blocked this increase. The effect of increased mEPSC activity differed from the effects observed with pharmacological application of HCRT1 which may be due to selective activation of ChR2-expressing Hcrt terminals in the vicinity of cortical nNOS/NK1R neurons rather than to activation of all HCRTR-expressing terminals, as likely occurs with bath application of a compound.
scRT-PCR Supports HCRTR1 as the Main Hcrt Postsynaptic Receptor on Cortical nNOS/NK1R Neurons
Pharmacological application of HCRTR antagonists indicated that HCRTR1 was principally involved in the direct HCRT1 response of cortical nNOS/NK1R neurons. To investigate this further, we analyzed cortical tissue from Hcrtr1-EGFP mice for co-expression with layer V–VI nNOS neurons and performed scRT-PCR. Immunohistochemical results indicated HCRTR1 expression in a subset of cingulate cortical neurons confined to layer V–VI but the expression in cortical nNOS cells was sparse. In addition, scRT-PCR indicated that 31% of nNOS cells expressed Hcrtr1 mRNA without evidence for Hcrtr2 mRNA expression. These results are similar to the proportion of cortical nNOS/NK1R neurons that were responsive to photostimulation of Hcrt afferents and consistent with other recent transcriptomic studies (Tasic et al. 2016; Paul et al. 2017). Together, these data support the conclusion that the effects of HCRT1 on cingulate cortex nNOS/NK1R cells are predominantly mediated by postsynaptic HCRTR1.
Hcrt Neuron Degeneration Affects the HCRTR1-mediated Response of Cortical nNOS/NK1R Cells but Not Sleep Homeostasis
Degeneration of Hcrt neurons results in loss of Hcrt-containing afferents to sleep/wake regulatory sites and a profound disruption of sleep/wake architecture in mice (Hara et al. 2001; Tabuchi et al. 2014) as well as human narcoleptics (Peyron et al. 2000; Thannickal et al. 2000). Nonetheless, the homeostatic challenge posed by sleep deprivation (SD) evokes the normal increase in EEG NREM delta power and time spent in NREM in Hcrt KO mice (Mochizuki et al. 2004) and in narcoleptic patients (Tafti et al. 1992). To determine whether Hcrt neuron loss affects the c-FOS expression that occurs in cortical nNOS/NK1R neurons during rebound sleep after sleep deprivation, we utilized ox-tTA;TetO-DTA mice (Tabuchi et al. 2014).
Cortical nNOS/NK1R cells from juvenile DOX(−) DTA mice exhibited some differences in their biophysical properties compared to age-matched WT mice. Although these cells received glutamatergic events of greater amplitude than WT mice, the effect of HCRT1 on glutamatergic input and the magnitude of inward current evoked were comparable to WT mice. The proportion of cells responsive to HCRT1 application in voltage-clamp was reduced (DTA: ~24% vs. WT: ~77%) but this percentage of cells was similar to the percentage that were responsive in the photostimulation experiments in WT mice, although lower than the proportion of cortical nNOS/NK1R cells expressing Hcrtr1 mRNA as determined by scRT-PCR. Therefore, despite some changes in basal characteristics of cortical nNOS/NK1R cells in juvenile DTA mice, the responsiveness to exogenously applied HCRT1 seems minimally affected by loss of Hcrt innervation.
EEG recordings from adult DOX(−) DTA mice exhibit a narcoleptic phenotype as previously found (Black et al. 2014, 2016; Tabuchi et al. 2014). When a 2 h sleep opportunity occurred after 4 h SD, DTA mice responded with increased percentages of the time spent in NREM, REM, and total sleep time that were comparable to monogenic controls—indicative of a functional sleep homeostatic response (Table 3 and Fig. 7). Since the proportion of c-FOS+ nNOS/NK1R neurons directly correlates with NREM sleep time, NREM bout duration and EEG δ power during NREM sleep (Morairty et al. 2013; Dittrich et al. 2015), we determined c-FOS+/nNOS expression in both genotypes. We found there were no significant differences in the proportion of c-FOS+ cortical nNOS cells between DTA and MC mice at either time point studied (Fig. 7). However, these FOS measurements were taken throughout the cortex and were not limited to cingulate cortex nNOS/NK1R neurons. Therefore, although we saw little effect of Hcrt loss on the electrophysiological properties of nNOS/NK1R cells of the cingulate cortex in DOX(−) DTA juvenile mice, we cannot rule out that there could be region-specific differences in c-FOS expression within the cortical nNOS population affected by the loss of Hcrt innervation.
Conclusion
The anatomical, pharmacological and optogenetic data presented here document that Hcrt neuron projections innervate a subset of cingulate cortex nNOS/NK1R neurons and that HCRTR1 mediates the excitatory responses in response to HCRT1. The loss of Hcrt innervation does not appear to greatly influence the activity of cortical nNOS/NK1R neurons or their expression of c-FOS in response to sleep loss, yet the electrical response to HCRT1 is lost in tissue taken from sleep-deprived mice. Therefore, we conclude that Hcrt afferents to cingulate cortex nNOS/NK1R neurons are unlikely to be involved in sleep homeostasis and the activation of these cells during RS. Nevertheless, we must express caution in the interpretation of these data due to the variation in age between mice used for the different experimental paradigms. Adult mice (2–4 mo) were used for photostimulation of Hcrt terminals and are in the age range of mice used for the behavioral EEG analysis (2–10 mo), yet the in vitro pharmacology data presented herein was derived from juvenile mice (P14-P28). We have previously shown that there are no significant changes in electrical properties of cortical nNOS/NK1R neurons recorded in brain slices between juvenile (P14–P23) and adult (4–6 mo) mice, and that there are comparable GPCR-mediated responses across these ages (Williams et al. 2017). However, even though the intracellular transduction machinery underlying a GPCR-mediated response appears to be age-independent, we cannot rule out the possibility that HCRT1 responses on cortical nNOS/NK1R neurons may differ by age.
Considerable evidence suggests that HCRTR2 rather than HCRTR1 is involved in sleep regulation (Willie et al. 2003; Mang et al. 2012; Mieda et al. 2013) whereas HCRTR1 may be involved in addiction and emotionally motivated behavior (Mahler et al. 2014). The predominant receptor subtype expressed on these nNOS/NK1R neurons, HCRTR1, has been shown to regulate fear conditioning and decision-making in other cortical neurons (Flores et al. 2014). Consequently, we suggest that the Hcrt projection onto cortical nNOS/NK1R cells may facilitate cortical processing of affect in a complementary manner to HCRTR2-expressing layer V pyramidal neurons (Bayer et al. 2004).
Notes
We thank Prof. Akihiro Yamanaka (Nagoya University) for the orexin-tTA;TetO-DTA mice and the AAV(DJ)-TetO-ChR2(ET/TC)-eYFP and Prof. Paul Kenny (Mt. Sinai School of Medicine) for the Hcrtr1-EGFP mouse brains. We thank Laura Alexandre, Kelsie Bogyo and Jeremiah Palmerston for technical assistance. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Conflict of Interest: None declared.
Funding
This work was supported by the National Institutes of Health (grant numbers R01HL059658, R01NS077408, and R01NS098813), by the Agence Nationale pour la Recherche (grant number ANR 2011 MALZ 003 01, B.C. and J.P.) and by an ERC starting grant to R.H.W. (ERCStG 715933).
References
- Ascoli GA, Alonso-Nanclares L, Anderson SA, Barrionuevo G, Benavides-Piccione R, Burkhalter A, Buzsaki G, Cauli B, Defelipe J, Fairen A, et al. . 2008. Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex. Nat Rev Neurosci. 9:557–568. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bayer L, Serafin M, Eggermann E, Saint-Mleux B, Machard D, Jones BE, Muhlethaler M. 2004. Exclusive postsynaptic action of hypocretin-orexin on sublayer 6b cortical neurons. J Neurosci. 24:6760–6764. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Black SW, Morairty SR, Chen TM, Leung AK, Wisor JP, Yamanaka A, Kilduff TS. 2014. GABAB agonism promotes sleep and reduces cataplexy in murine narcolepsy. J Neurosci. 34:6485–6494. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Black SW, Morairty SR, Fisher SP, Chen TM, Warrier DR, Kilduff TS. 2013. Almorexant promotes sleep and exacerbates cataplexy in a murine model of narcolepsy. Sleep. 36:325–336. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Black SW, Schwartz MD, Chen TM, Hoener MC, Kilduff TS. 2016. Trace amine-associated receptor 1 agonists as narcolepsy therapeutics. Biol Psychiatry. 82:623–633. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cabezas C, Irinopoulou T, Cauli B, Poncer JC. 2013. Molecular and functional characterization of GAD67-expressing, newborn granule cells in mouse dentate gyrus. Front Neural Circuits. 7:60. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Carter ME, Adamantidis A, Ohtsu H, Deisseroth K, de Lecea L. 2009. Sleep homeostasis modulates hypocretin-mediated sleep-to-wake transitions. J Neurosci. 29:10939–10949. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cauli B, Audinat E, Lambolez B, Angulo MC, Ropert N, Tsuzuki K, Hestrin S, Rossier J. 1997. Molecular and physiological diversity of cortical nonpyramidal cells. J Neurosci. 17:3894–3906. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ch’ng SS, Lawrence AJ. 2015. Distribution of the orexin-1 receptor (OX1R) in the mouse forebrain and rostral brainstem: a characterisation of OX1R-eGFP mice. J Chem Neuroanat. 66–67:1–9. [DOI] [PubMed] [Google Scholar]
- Darwinkel A, Stanic D, Booth LC, May CN, Lawrence AJ, Yao ST. 2014. Distribution of orexin-1 receptor-green fluorescent protein- (OX1-GFP) expressing neurons in the mouse brain stem and pons: co-localization with tyrosine hydroxylase and neuronal nitric oxide synthase. Neuroscience. 278:253–264. [DOI] [PubMed] [Google Scholar]
- DeFelipe J, Lopez-Cruz PL, Benavides-Piccione R, Bielza C, Larranaga P, Anderson S, Burkhalter A, Cauli B, Fairen A, Feldmeyer D, et al. . 2013. New insights into the classification and nomenclature of cortical GABAergic interneurons. Nat Rev Neurosci. 14:202–216. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dittrich L, Heiss JE, Warrier DR, Perez XA, Quik M, Kilduff TS. 2012. Cortical nNOS neurons co-express the NK1 receptor and are depolarized by Substance P in multiple mammalian species. Front Neural Circuits. 6:31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dittrich L, Morairty SR, Warrier DR, Kilduff TS. 2015. Homeostatic sleep pressure is the primary factor for activation of cortical nNOS/NK1 neurons. Neuropsychopharmacology. 40:632–639. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Estabrooke IV, McCarthy MT, Ko E, Chou TC, Chemelli RM, Yanagisawa M, Saper CB, Scammell TE. 2001. Fos expression in orexin neurons varies with behavioral state. J Neurosci. 21:1656–1662. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Flores A, Valls-Comamala V, Costa G, Saravia R, Maldonado R, Berrendero F. 2014. The hypocretin/orexin system mediates the extinction of fear memories. Neuropsychopharmacology. 39:2732–2741. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Franklin KBJ, Paxinos G. 2008. The mouse brain in stereotaxic coordinates. Amsterdam: Elsevier. [Google Scholar]
- Gallopin T, Geoffroy H, Rossier J, Lambolez B. 2006. Cortical sources of CRF, NKB, and CCK and their effects on pyramidal cells in the neocortex. Cereb Cortex. 16:1440–1452. [DOI] [PubMed] [Google Scholar]
- Gerashchenko D, Wisor JP, Burns D, Reh RK, Shiromani PJ, Sakurai T, de la Iglesia HO, Kilduff TS. 2008. Identification of a population of sleep-active cerebral cortex neurons. Proc Natl Acad Sci USA. 105:10227–10232. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gompf HS, Mathai C, Fuller PM, Wood DA, Pedersen NP, Saper CB, Lu J. 2010. Locus ceruleus and anterior cingulate cortex sustain wakefulness in a novel environment. J Neurosci. 30:14543–14551. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hara J, Beuckmann CT, Nambu T, Willie JT, Chemelli RM, Sinton CM, Sugiyama F, Yagami K, Goto K, Yanagisawa M, et al. . 2001. Genetic ablation of orexin neurons in mice results in narcolepsy, hypophagia, and obesity. Neuron. 30:345–354. [DOI] [PubMed] [Google Scholar]
- Hay YA, Andjelic S, Badr S, Lambolez B. 2015. Orexin-dependent activation of layer VIb enhances cortical network activity and integration of non-specific thalamocortical inputs. Brain Struct Funct. 220:3497–3512. [DOI] [PubMed] [Google Scholar]
- Higo S, Akashi K, Sakimura K, Tamamaki N. 2009. Subtypes of GABAergic neurons project axons in the neocortex. Front Neuroanat. 3:25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Higo S, Udaka N, Tamamaki N. 2007. Long-range GABAergic projection neurons in the cat neocortex. J Comp Neurol. 503:421–431. [DOI] [PubMed] [Google Scholar]
- Jin J, Chen Q, Qiao Q, Yang L, Xiong J, Xia J, Hu Z, Chen F. 2016. Orexin neurons in the lateral hypothalamus project to the medial prefrontal cortex with a rostro-caudal gradient. Neurosci Lett. 621:9–14. [DOI] [PubMed] [Google Scholar]
- Joo EY, Jeon S, Lee M, Kim ST, Yoon U, Koo DL, Lee JM, Hong SB. 2011. Analysis of cortical thickness in narcolepsy patients with cataplexy. Sleep. 34:1357–1364. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Karagiannis A, Gallopin T, David C, Battaglia D, Geoffroy H, Rossier J, Hillman EM, Staiger JF, Cauli B. 2009. Classification of NPY-expressing neocortical interneurons. J Neurosci. 29:3642–3659. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kilduff TS, Cauli B, Gerashchenko D. 2011. Activation of cortical interneurons during sleep: an anatomical link to homeostatic sleep regulation? Trends Neurosci. 34:10–19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kubota Y, Shigematsu N, Karube F, Sekigawa A, Kato S, Yamaguchi N, Hirai Y, Morishima M, Kawaguchi Y. 2011. Selective coexpression of multiple chemical markers defines discrete populations of neocortical GABAergic neurons. Cereb Cortex. 21:1803–1817. [DOI] [PubMed] [Google Scholar]
- Lambe EK, Aghajanian GK. 2003. Hypocretin (orexin) induces calcium transients in single spines postsynaptic to identified thalamocortical boutons in prefrontal slice. Neuron. 40:139–150. [DOI] [PubMed] [Google Scholar]
- Lambolez B, Audinat E, Bochet P, Crepel F, Rossier J. 1992. AMPA receptor subunits expressed by single Purkinje cells. Neuron. 9:247–258. [DOI] [PubMed] [Google Scholar]
- Madisen L, Zwingman TA, Sunkin SM, Oh SW, Zariwala HA, Gu H, Ng LL, Palmiter RD, Hawrylycz MJ, Jones AR, et al. . 2010. A robust and high-throughput Cre reporting and characterization system for the whole mouse brain. Nat Neurosci. 13:133–140. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mahler SV, Moorman DE, Smith RJ, James MH, Aston-Jones G. 2014. Motivational activation: a unifying hypothesis of orexin/hypocretin function. Nat Neurosci. 17:1298–1303. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mang GM, Durst T, Burki H, Imobersteg S, Abramowski D, Schuepbach E, Hoyer D, Fendt M, Gee CE. 2012. The dual orexin receptor antagonist almorexant induces sleep and decreases orexin-induced locomotion by blocking orexin 2 receptors. Sleep. 35:1625–1635. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mendlewicz J. 2009. Sleep disturbances: core symptoms of major depressive disorder rather than associated or comorbid disorders. World J Biol Psychiatry. 10:269–275. [DOI] [PubMed] [Google Scholar]
- Mieda M, Tsujino N, Sakurai T. 2013. Differential roles of orexin receptors in the regulation of sleep/wakefulness. Front Endocrinol. 4:57. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mishima K, Fujiki N, Yoshida Y, Sakurai T, Honda M, Mignot E, Nishino S. 2008. Hypocretin receptor expression in canine and murine narcolepsy models and in hypocretin-ligand deficient human narcolepsy. Sleep. 31:1119–1126. [PMC free article] [PubMed] [Google Scholar]
- Mochizuki T, Crocker A, McCormack S, Yanagisawa M, Sakurai T, Scammell TE. 2004. Behavioral state instability in orexin knock-out mice. J Neurosci. 24:6291–6300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Morairty SR, Dittrich L, Pasumarthi RK, Valladao D, Heiss JE, Gerashchenko D, Kilduff TS. 2013. A role for cortical nNOS/NK1 neurons in coupling homeostatic sleep drive to EEG slow wave activity. Proc Natl Acad Sci USA. 110:20272–20277. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pasumarthi RK, Gerashchenko D, Kilduff TS. 2010. Further characterization of sleep-active neuronal nitric oxide synthase neurons in the mouse brain. Neuroscience. 169:149–157. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Paul A, Crow M, Raudales R, He M, Gillis J, Huang ZJ. 2017. Transcriptional architecture of synaptic communication delineates GABAergic neuron identity. Cell. 171:522–539 e520. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Peyron C, Faraco J, Rogers W, Ripley B, Overeem S, Charnay Y, Nevsimalova S, Aldrich M, Reynolds D, Albin R, et al. . 2000. A mutation in a case of early onset narcolepsy and a generalized absence of hypocretin peptides in human narcoleptic brains. Nat Med. 6:991–997. [DOI] [PubMed] [Google Scholar]
- Peyron C, Tighe DK, van den Pol AN, de Lecea L, Heller HC, Sutcliffe JG, Kilduff TS. 1998. Neurons containing hypocretin (orexin) project to multiple neuronal systems. J Neurosci. 18:9996–10015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rolls ET, Inoue K, Browning A. 2003. Activity of primate subgenual cingulate cortex neurons is related to sleep. J Neurophysiol. 90:134–142. [DOI] [PubMed] [Google Scholar]
- Sasaki K, Suzuki M, Mieda M, Tsujino N, Roth B, Sakurai T. 2011. Pharmacogenetic modulation of orexin neurons alters sleep/wakefulness states in mice. PLoS ONE. 6:e20360. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Scammell TE, Willie JT, Guilleminault C, Siegel JM, International Working Group on Rodent Models of N . 2009. A consensus definition of cataplexy in mouse models of narcolepsy. Sleep. 32:111–116. [PMC free article] [PubMed] [Google Scholar]
- Tabuchi S, Tsunematsu T, Black SW, Tominaga M, Maruyama M, Takagi K, Minokoshi Y, Sakurai T, Kilduff TS, Yamanaka A. 2014. Conditional ablation of orexin/hypocretin neurons: a new mouse model for the study of narcolepsy and orexin system function. J Neurosci. 34:6495–6509. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tabuchi S, Tsunematsu T, Kilduff TS, Sugio S, Xu M, Tanaka KF, Takahashi S, Tominaga M, Yamanaka A. 2013. Influence of inhibitory serotonergic inputs to orexin/hypocretin neurons on the diurnal rhythm of sleep and wakefulness. Sleep. 36:1391–1404. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tafti M, Villemin E, Carlander B, Besset A, Billiard M. 1992. Sleep in human narcolepsy revisited with special reference to prior wakefulness duration. Sleep. 15:344–351. [DOI] [PubMed] [Google Scholar]
- Taniguchi H, He M, Wu P, Kim S, Paik R, Sugino K, Kvitsiani D, Fu Y, Lu J, Lin Y, et al. . 2011. A resource of Cre driver lines for genetic targeting of GABAergic neurons in cerebral cortex. Neuron. 71:995–1013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tasic B, Menon V, Nguyen TN, Kim TK, Jarsky T, Yao Z, Levi B, Gray LT, Sorensen SA, Dolbeare T, et al. . 2016. Adult mouse cortical cell taxonomy revealed by single cell transcriptomics. Nat Neurosci. 19:335–346. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Thannickal T, Moore RY, Nienhuis R, Ramanathan L, Gulyani S, Aldrich M, Cornford M, Siegel JM. 2000. Reduced number of hypocretin neurons in human narcolepsy. Neuron. 27:469–474. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tomioka R, Okamoto K, Furuta T, Fujiyama F, Iwasato T, Yanagawa Y, Obata K, Kaneko T, Tamamaki N. 2005. Demonstration of long-range GABAergic connections distributed throughout the mouse neocortex. Eur J Neurosci. 21:1587–1600. [DOI] [PubMed] [Google Scholar]
- Tomioka R, Rockland KS. 2007. Long-distance corticocortical GABAergic neurons in the adult monkey white and gray matter. J Comp Neurol. 505:526–538. [DOI] [PubMed] [Google Scholar]
- Tripp A, Kota RS, Lewis DA, Sibille E. 2011. Reduced somatostatin in subgenual anterior cingulate cortex in major depression. Neurobiol Dis. 42:116–124. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wenger Combremont AL, Bayer L, Dupre A, Muhlethaler M, Serafin M. 2016. a. Effects of hypocretin/orexin and major transmitters of arousal on fast spiking neurons in mouse cortical layer 6B. Cereb Cortex. 26:3553–3562. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wenger Combremont AL, Bayer L, Dupre A, Muhlethaler M, Serafin M. 2016. b. Slow bursting neurons of mouse cortical layer 6b are depolarized by hypocretin/orexin and major transmitters of arousal. Front Neurol. 7:88. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Williams RH, Alexopoulos H, Jensen LT, Fugger L, Burdakov D. 2008. Adaptive sugar sensors in hypothalamic feeding circuits. Proc Natl Acad Sci USA. 105:11975–11980. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Williams RH, Chee MJ, Kroeger D, Ferrari LL, Maratos-Flier E, Scammell TE, Arrigoni E. 2014. Optogenetic-mediated release of histamine reveals distal and autoregulatory mechanisms for controlling arousal. J Neurosci. 34:6023–6029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Williams RH, Vazquez-DeRose J, Thomas AM, Piquet J, Cauli B, Kilduff TS. 2017. Cortical nNOS/NK1 receptor neurons are regulated by cholinergic projections from the basal forebrain. Cereb Cortex. 1–21. doi:10.1093/cercor/bhx102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Willie JT, Chemelli RM, Sinton CM, Tokita S, Williams SC, Kisanuki YY, Marcus JN, Lee C, Elmquist JK, Kohlmeier KA, et al. . 2003. Distinct narcolepsy syndromes in Orexin receptor-2 and Orexin null mice: molecular genetic dissection of Non-REM and REM sleep regulatory processes. Neuron. 38:715–730. [DOI] [PubMed] [Google Scholar]
- Yan XX, Garey LJ. 1997. Morphological diversity of nitric oxide synthesising neurons in mammalian cerebral cortex. J Hirnforsch. 38:165–172. [PubMed] [Google Scholar]
- Zeisel A, Munoz-Manchado AB, Codeluppi S, Lonnerberg P, La Manno G, Jureus A, Marques S, Munguba H, He L, Betsholtz C, et al. . 2015. Brain structure. Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq. Science. 347:1138–1142. [DOI] [PubMed] [Google Scholar]