Abstract
AGRP (agouti-related neuropeptide) expressing inhibitory neurons sense caloric needs of an animal to coordinate homeostatic feeding. Recent evidence suggests that AGRP neurons also suppress competing actions and motivations to mediate adaptive behavioral selection during starvation. Here, in adult mice of both sexes we show that AGRP neurons form inhibitory synapses onto ∼30% neurons in the medial preoptic area (mPOA), a region critical for maternal care. Remarkably, optogenetically stimulating AGRP neurons decreases maternal nest-building while minimally affecting pup retrieval, partly recapitulating suppression of maternal behaviors during food restriction. In parallel, optogenetically stimulating AGRP projections to the mPOA or to the paraventricular nucleus of hypothalamus but not to the LHA (lateral hypothalamus area) similarly decreases maternal nest-building. Chemogenetic inhibition of mPOA neurons that express Vgat (vesicular GABA transporter), the population targeted by AGRP terminals, also decreases maternal nest-building. In comparison, chemogenetic inhibition of neurons in the LHA that express vesicular glutamate transporter 2, another hypothalamic neuronal population critical for feeding and innate drives, is ineffective. Importantly, nest-building during low temperature thermal challenge is not affected by optogenetic stimulation of AGRP→mPOA projections. Finally, via optogenetic activation and inhibition we show that distinctive subsets of mPOA Vgat+ neurons likely underlie pup retrieval and maternal nest-building. Together, these results show that AGRP neurons can modulate maternal nest-building, in part through direct projections to the mPOA. This study corroborates other recent discoveries and underscores the broad functions that AGRP neurons play in antagonizing rivalry motivations to modulate behavioral outputs during hunger.
SIGNIFICANCE STATEMENT In order for animals to initiate ethologically appropriate behaviors, they must typically decide between behavioral repertoires driven by multiple and often conflicting internal states. How neural pathways underlying individual behaviors interact to coherently modulate behavioral outputs, in particular to achieve a proper balance between behaviors that serve immediate individual needs versus those that benefit the propagation of the species, remains poorly understood. Here, by investigating projections from a neuronal population known to drive hunger behaviors to a brain region critical for maternal care, we show that activation of AGRP→mPOA projections in females dramatically inhibits maternal nest-building while leaving mostly intact pup retrieval behavior. Our findings shed new light on neural organization of behaviors and neural mechanisms that coordinate behavioral selection.
Keywords: AGRP, behavioral antagonism, hunger, maternal nest-building, medial preoptic area, neural circuit
Introduction
AGRP-expressing neurons (∼20,000) in the arcuate nucleus (ARC) of the hypothalamus sense caloric needs of an animal to coordinate homeostatic feeding (Zha and Xu, 2015; Andermann and Lowell, 2017). These neurons are activated by hormones that signal caloric deficiency, such as ghrelin (Hahn et al., 1998; Kamegai et al., 2000; Cowley et al., 2003; Palou et al., 2009), and suppressed by hormones that signal energy surfeit, such as leptin (Cowley et al., 2001; Pinto et al., 2004; Varela and Horvath, 2012). In addition, sensory cues that predict food availability rapidly suppress AGRP neuronal activities, whereas gut-derived nutrients and hormones post-ingestion suppress AGRP neuronal activities over minutes to hours (Betley et al., 2015; Chen et al., 2015; Mandelblat-Cerf et al., 2015; Beutler et al., 2017; Su et al., 2017). Functionally, optogenetic or chemogenetic activation of AGRP neurons drives food foraging and voracious feeding even in satiated animals (Aponte et al., 2011; Krashes et al., 2011). Conversely, targeted suppression or ablation of AGRP neurons leads to reduced or dramatic loss of feeding in adult mice (Luquet et al., 2005, Krashes et al., 2011; Betley et al., 2015). Thus, AGRP neurons play an absolutely essential role in maintaining homeostatic feeding.
AGRP neurons project prominently to the paraventricular nucleus of hypothalamus (PVH), the dorsal medial hypothalamus (DMH), the lateral hypothalamic area (LHA), the anterior bed nucleus of the stria terminalis (aBNST), the paraventricular nucleus of the thalamus (PVT), the central amygdala (CeA), and the parabrachial nucleus (PBN), where they release GABA along with AGRP and neuropeptide Y to exert inhibitory effects on downstream neurons (Wu et al., 2009, 2012; Atasoy et al., 2012; Betley et al., 2013; Carter et al., 2013; Krashes et al., 2013). Interestingly, each of these target regions receives inputs from a separate and non-overlapping subset of AGRP neurons (Betley et al., 2013). Independent activation of AGRP projections to PVH, LHA, aBNST, and PVT but not to CeA or PBN elicits feeding, suggesting a parallel and redundant configuration of AGRP neural pathways for homeostatic feeding (Betley et al., 2013).
Importantly, hunger as an internal state broadly influences perception and behaviors beyond feeding. Indeed, recent studies show that AGRP neurons could act via projections to the PVT and to the basolateral amygdala to modulate representation of food-predicting visual cues in the insular cortex (Livneh et al., 2017), via projections to the medial nucleus of the amygdala to suppress territorial aggression and contextual fear (Padilla et al., 2016), via projections to the PBN to attenuate behavioral responses and affective properties of inflammatory pain induced by formalin injection (Alhadeff et al., 2018), and via inhibition of kisspeptin-expressing neurons to suppress fertility (Padilla et al., 2017). Moreover, when food is accessible, activation of AGRP neurons also mediate hunger suppression of other behaviors and motivations, including thirst, anxiety-related behavior, innate fear, and social interactions (Burnett et al., 2016; Jikomes et al., 2016). These results raise the question as to whether AGRP neurons may play a similar role in antagonizing maternal care, the balance between which and feeding could potentially affect the fitness of an animal.
In this study, by performing ex vivo channelrhodopsin-2-assisted circuit mapping (Petreanu et al., 2007), we demonstrate a direct projection from AGRP neurons to ∼30% neurons in the medial preoptic area (mPOA), a region essential for maternal care (Numan, 1974; Jacobson et al., 1980; Newman, 1999; Tsuneoka et al., 2013; Dulac et al., 2014; Kuroda and Numan, 2014; Wu et al., 2014; Yang and Shah, 2014). Optogenetic stimulation of AGRP neurons or their projections to the mPOA or chemogenetic inhibition of mPOA vesicular GABA transporter (Vgat)+ neurons, the population targeted by AGRP neurons, dramatically decreases maternal nest-building while minimally affecting pup retrieval, partly recapitulating suppression of maternal behaviors in starved females. By contrast, nest-building behavior induced by thermal challenge is not affected by stimulation of AGRP→mPOA projections. Together, these results show that AGRP→mPOA projections can directly modulate maternal nest-building.
Materials and Methods
Animal.
AGRPtm1/(cre)Lowl/J (referred to as AGRPCre; 012899), B6;129S-Gt(ROSA)26Sortm34.1(CAG−Syp/tdTomato)Hze/J (referred to as Ai34; 012570), B6;129S-Gt(ROSA)26Sortm32(CAG−COP4*H134R/EYFP)Hze/J (referred to as Ai32; 012569), Slc32a1tm2(cre)/Lowl/J (referred to as Vgat-Ires-Cre; 016962), Slc17a6 tm2(cre)/Lowl/J [referred to as vesicular glutamate transporter 2 (Vglut2)-Ires-Cre; 01693], and C57BL/6-Esr1tm2.1(cre)And/J (referred to as Esr1-Cre; 017913) were obtained from The Jackson Laboratory. Vgat-Cre was previously generated (Chao et al., 2010). C57BL/6 animals were obtained from the Slac Laboratory Animal. All experimental animals used in the study were >8 weeks old and were bred onto C57BL/6 background for at least one generation. Animals were housed in the Institute of Neuroscience animal facility on a 12 h light/dark cycle and with food and water ad libitum unless otherwise specified. Animals heterozygous for the AGRPcre and Ai34 allele were used to trace target areas of AGRP neurons. Animals heterozygous for the AGRPcre and Ai32 allele, denoted as AGRPChR2 mice, were used for functional manipulations. All experimental protocols were approved by the Animal Care and Use Committee (IACUC No. NA-016-2016).
Electrophysiological recordings.
Adult AGRPChR2 mice of either sex were anesthetized with isoflurane, perfused transcardially with ice-cold oxygenated (95% O2/5% CO2) high-sucrose solution (in mm: 2.5 KCl, 1.25 NaH2PO4, 2 Na2HPO4, 2 MgSO4, 213 sucrose, 26 NaHCO3), and decapitated to remove the brain. Afterward, the brain was immediately placed in ice-cold oxygenated high-sucrose solution and sectioned in coronal plane at 250 μm in this buffer. After sectioning, slices were incubated in oxygenated ACSF (in mm: 126 NaCl, 2.5 KCl, 1.25 NaH2PO4, 1.25 Na2HPO4, 2 MgSO4, 10 glucose, 26 NaHCO3, 2 CaCl2) at 34°C for 1 h. The intracellular solution for action potential recording containing the following (in mm):120 K-gluconate, 4 KCl, 10 HEPES, 10 sodium phosphocreatine, 4 Mg-ATP, and 0.3 Na3-GTP, pH 7.3, 265 mOsm. Clozapine-N-oxide (CNO; 5 μm) was bath applied on the slices for 5 min during recordings of neurons that expressed HM4D, which were identified by the expression of mCherry. The intracellular solution for voltage-clamp IPSCs recording contained the following (in mm):125 CsCl, 5 MgCl2, 0.6 EGTA, 10 HEPES, 10 lidocaine hydrochloride (QX-314), 4 Mg-ATP, and 0.3 Na3-GTP, pH 7.3, 280 mOsm. Photostimulation-evoked (pulse duration 10 ms, 7 mW/mm2) IPSCs were recorded with membrane potential holding at −70 mV in the presence of CNQX (10 μm; Tocris Bioscience) and DL-AP5 (50 μm; Sigma). Blue light was delivered through 40× objective on a fluorescence microscope BX51 (Olympus) with X-Cite LED light source. All recordings were acquired using MultiClamp 700B amplifier and Digidata 1440A interface (Molecular Devices). Directly after IPSC recordings, the contents of the recorded neurons in females were aspirated into the patch electrode. The electrode tip was then broken off to release the content into a thin-wall PCR tube containing 50 μm random hexamers and 10 mm dNTP mix. PCR tubes were immediately frozen in liquid nitrogen until use.
Single-cell RT-PCR.
Single-cell reverse transcription (RT)-PCR analysis of recorded cells was performed using a similar protocol as described previously (Pfeffer et al., 2013). Briefly, the cDNA library of the recorded cells was generated using random hexamers and the SuperScript IV kit (Invitrogen, 18091050) according to the manufacturer's protocol. Internal solution was transcribed along as a negative control. Afterward, multiplex PCR was performed with 2×TaqPCR MasterMix (Tiangen, KT201-02) using primers for three targeted genes in a volume of 25 μl. Multiplex primers were designed to amplify exonic DNA sequences and spanned at least one exon-intron boundary. Water control experiments were regularly performed to detect contamination. Next, nested single gene PCR was performed in a volume of 25 μl with a 1:25 dilution of the multiplex PCR products using the standard 2×TaqPCR MasterMix (Tiangen, KT201-02). Nested primers were designed to amplify 100–400 bp DNA sequences within the boundary of the multiplex PCR primers. PCR products were visualized using standard agarose gel electrophoresis and visualized/documented under the UV light. All primers used were first tested with dilutions of mPOA cDNA libraries for sensitivity and specificity. The following primers are used in this study: Vgat (137 bp) 5′-GTCACGACAAACCCAAGATCAC-3′, 5′-GGCGAAGATGATGAGGAACAAC-3′; Vglut2 (891 bp) 5′-AGGGTTCGATGACGTTTCTGG-3′, 5′-AGCGGATGCCGAAGGATATG-3′; (313 bp) 5′-CTATTAGGAAACCCGTGGGCTG-3′, 5′-CTTCTTCTCCAGCACCCTGTA-3′; GAPDH, (500 bp) 5′-ACCACAGTCCATGCCATCAC-3′, 5′-GGGTGGTCCAGGGTTTCTTA-3′; (138 bp) 5′-TCCACCACCCTGTTGCTGTA-3′, 5′-GGTTGTCTCCTGCGACTTCA-3′. Note that the multiplex and nested primers for Vgat were the same and were adopted from Padilla et al. (2016), whereas the rest of the primers were custom designed using NCBI primer-blast.
Stereotactic surgery.
Stereotactic surgeries were performed generally on a David Kopf 1900 stereotactic frame with female animals anesthetized under isoflurane. Surgeries to implant optic fibers into the LHA were performed on a RWD stereotactic frame (model 68507, RWD Life Science) with pentobarbital (120 mg/kg) used as the anesthesia. Briefly, the skull was exposed with a small incision and holes were drilled to implant optic fibers or to deliver virus with glass pipettes (15–25 μm diameter at the tip). Unilateral optic fibers (200 μm diameter, N.A. = 0.37, length 7 mm, AniLab Software and Instruments) or bilateral optic fibers (DFC_200/245-0.37_6.0 mm _DF0.85_FLT, Doric Lenses) were inserted through the drilled holes and secured onto the skull with dental cement and screws. The coordinates to implant optic fibers were as follows (in mm): ARC, bregma: AP: −1.700, ML: −0.250, DV: −5.650; PVH, bregma: AP: −0.82, ML: −0.00, DV: −4.30; mPOA, bregma: AP: +0.120, ML: ±0.450, DV: −4.700. Two unilateral fibers were implanted at an angle of 10° with the tips of the optic fibers placed 400 μm over the LHA for each hemisphere at the coordinates of bregma (in mm): AP: −1.300, ML: ±1.000, DV: 4.600. Optic fiber implanted animals were allowed at least 1 week to recover before behavioral tests. For viral injections, the coordinates of bregma (in mm): AP: +0.160, DV: −5.100, ML: ±0.400 were used to target the mPOA bilaterally; the coordinates of bregma (in mm): AP: −1.1, DV: −5.100, ML: ±1.125 were used to target the LHA. Injections of 200–300 nl virus per side were made with a hydraulic pump at a speed of 40 nl per minute. Viral-injected animals were allowed at least 3 weeks after the surgery to recover and to express the virus before subsequent behavioral tests. Viruses used in the study include AAV-hSyn-DIO-HM4D-mCherry (titer 7 × 10e12 genomic copies/ml, UNC Vector Core, Serotype 2/8), AAV-EF1a-DIO-mCherry (titer 8.93 × 10e12 genomic copies/ml, Obio Technology, Serotype 2/8), AAV-EF1a-DIO-ChR2-mCherry (titer 7.39 × 10e12 genomic copies/ml, Obio Technology, Serotype 2/8), AAVs-CAG-DIO-GtACR1-P2A-EGFP (titer 7.5 × 10e12 genomic copies/ml, Shanghai Taitool Bioscience, Serotype 2/5), AAVs-Ef1a-DIO-EYFP (titer 8.6 × 10e12 genomic copies/ml, Shanghai Taitool Bioscience, Serotype 2/9).
Behavioral test.
Female animals were singly housed for at least 3 d before the behavioral tests except when they were tested as mothers, in which case they were tested in their own cage. Maternal behaviors were tested by scattering three pups ages P1–P4 at the edge away from the nest and videotaping the animal for 15–30 min. Videotapes (15 min) were scored by an experimenter blind to the treatment of the animal using a custom written MATLAB program as previously described (Xu et al., 2012). Pup retrieval behavior was scored when the animal picked up the pups and moved it toward the nest site. A retrieval score of “1” was given to each pup successfully moved to the nest site, “0” if not retrieved at all. If a pup was retrieved but not to the nest, a number between 0.1 and 0.9, varying according to the final distance of a pup to the nest at the end of an assay, was given, similar to previously described (Scott et al., 2015). Nest-building was scored when the animals actively collected and arranged the nest material in a stereotyped motion. Nest quality was scored using a scale system based on the scatterings of the material and the shape of the nest: 0, all nest material remaining scattered; 1, <50% of the material gathered; 2, 50–80% of the material gathered; 3, >80% but not all of the material gathered; 4, all materials gathered but the nest is flat; 5, all materials gathered but the nest is not oval; and 6, nest is a crater with walls higher than the height of the mouse.
For food deprivation (FD) experiment, females were moved to a fresh cage without food but with water for ∼25 h. Afterward, pups were introduced and behaviors videotaped. FD experiments were performed at least 5 d apart. For optogenetic stimulation experiments done in female AGRPChR2 animals, an external optic fiber (∼0.65–1 m long) was used to connect a 473 nm laser power source (Changchun New Industries Optoelectronics Tech) to the implanted optic fiber in the animal. The external optic fiber was attached to a rotary joint (FRJ_1X1_FC_FC, Doric Lens) to allow the animal to move freely. The laser was controlled by a Master-8 to deliver 20 Hz light pulse (10 ms width) at a pattern of 1 s on and 3 s off. Light power was adjusted for each animal according to the luminance transitivity efficiency of the implanted optic fiber to assure that light emitted at the tip of fiber was 7 mW. All optical stimulation experiments were performed at least 1 h after the onset of the light cycle. On the day of testing, the external optic fiber was attached to the animal at the beginning of the adaption period whether or not light would be delivered in the trial. In light-stimulated trials, light was delivered 10 min before the introduction of pups and throughout the test. Each animal was tested for three trials each day of alternating light/no light trial with half an hour of rest in between trials and was tested for 2 consecutive days. All lactating females were previously tested as virgins. In light-stimulated trials, pups were temporally removed and light was delivered 10 min before the introduction of pups back to the cage and continued during the behavioral assay. To test the effects of activation of AGRP→mPOA terminals on nest-building behavior during thermal challenge, the room temperature was change to 16°C, an external optic fiber was attached to the female animal and the nest material was scattered. In light trial, a stimulation pattern of a 1.5 h light on period followed by a 1.5 h light off period and another 1.5 h light on period was given. In no light trial, animals were recorded with external fiber attached but no light delivered for a total of 4.5 h. Animals were allowed for at least 5 d rest in between trials and each animal was tested only once for either light or no-light condition. To chemogenetically inhibit mPOA Vgat+ or LHA Vglut2+ neurons, either saline or CNO (∼1 mg/kg, Enzo) were administrated intraperitoneally 1–2 h before the maternal behavioral tests, which were performed at least half an hour after the onset of dark cycle and at most once per day, or 1–2 h before the feeding test, which was performed after the onset of light cycle. Each female animal was tested once or twice with saline or CNO injection for each behavioral test. Optogenetic activation and inhibition of the mPOA Vgat+ or Esr1+ neurons in females were performed as previously described (Wei et al., 2018). Briefly, optogenetic activation was performed in virgin females and animals were tested in fresh cages either in presence of scattered pups or scattered nesting materials. Phasic light (473 nm, 15 s, 12 mW, 40 Hz, 10 ms pulse) was randomly delivered 90–120 s apart. For optogenetic inhibition of the mPOA, female animals were mated after viral injection to produce their own pups and were housed with the pups and tested for behaviors during lactation or postpartum after weaning of pups. To inhibit during pup approaching, light (∼12 mW, 473 nm) was automatically triggered to be continuously delivered as long as the position of the tested animal was detected by the program to be within the pup region, which was defined by marking a slight larger area surrounding each scattered pup. To inhibit after initiation of defined behaviors, blue light (∼12 mW, 473 nm) of fixed length (5 s) was manually triggered when the experimenter observed the behavior of interests in real-time. One or two light or no-light trials were performed.
All animals were killed upon completion of all behavioral experiments and processed to analyze fiber placements or viral infection. Upon post hoc histological and behavioral analysis, data points from animals that were deemed mis-hits or displayed poor baseline maternal behaviors were excluded. Specifically, 9 of 36 AGRPChR2 females implanted with optic fibers in the arcuate nucleus were excluded for mis-placed fibers; 3 of 21 AGRPChR2 females implanted with bilateral optic fibers in the mPOA were excluded for mis-placed fibers; 1 of 9 AGRPChR2 females implanted with an optic fiber in the PVH was excluded for mis-placed fiber; 3 of 10 AGRPChR2 females implanted with bilateral optic fibers in the LHA were excluded for displaying no maternal nest-building under no-light condition (and under light condition); 5 of 17 mPOA HM4D female animals were excluded for unilateral viral expression; 5 of 16 LHA HM4D female animals were excluded for viral expression in other brain areas including DMH, ventral medial hypothalamic nucleus and PVH; 1 of 9 GtACR1 female animals were excluded for mis-targeted expression of the virus.
Histological analysis.
For immunohistochemistry, mice were transcardially perfused with PBS followed by 4% paraformaldehyde (PFA) in PB. Brain was postfixed overnight at 4°C and sectioned at 40 μm using vibratome (Leica). Brain sections were blocked in 5% goat serum in AT (0.1% Triton and 2 mm MgCl2 in PBS) for 1 h at room temperature and incubated overnight at 4°C in AGT (0.5% goat serum, 0.1% Triton, and 2 mm MgCl2 in PBS) containing appropriate primary antibody (rabbit anti-c-Fos, 1:1000, Santa Cruz Biotechnology, catalog #sc-52; chicken anti-GFP, 1:500, Abcam, catalog #ab13970; rabbit anti-GFP, 1:1000, Invitrogen, catalog #A11122). The next day, sections were washed in AGT and incubated with appropriate secondary antibody for 2 h at room temperature. After three washes in AGT, NeuroTrace 435/455 (Life Technologies, catalog #N21479; 1:300) was diluted in AT solution and incubated with the sections for 20 min as a counter staining. After staining, slides were washed in AT and fixed in 4% PFA for 20 min. After washes in PBS, sections were mounted onto slides. To analyze the infection rate of the virus, mCherry or GFP signal was visualized and counted and divided by the total number of Nissl+ cells in the infected region. AGRP terminals were visualized on a confocal microscope using a 20× objective. To analyze and compare density of AGRP neurons in different brain regions, images were captured under a 20× objective on a regular microscope. For each brain region, three 130 × 130 μm squares were picked per brain region and the mean gray value was measured in ImageJ for each square and were averaged to get the value of mean intensity.
Experimental design and statistical analysis.
Littermates of the same genotype were randomly assigned to be either the control or the experiment group. At least two batches of animals were carried for each experiment and the results from different batches were combined. All behavioral trials were performed in a balanced manner. Values are presented as mean ± SEM. For comparison of two groups, if the data were tested to be Gaussian distribution with Shaprio–Wilk normality test and the variances were tested to be equal with F test in GraphPad, p values were calculated with paired or unpaired two-tailed Student's t test according to whether the data are matched or not, whereas t test with Welch's correction was applied to data with Gaussian distribution but unequal variances; otherwise, p values were calculated with Wilcoxon signed rank test for matched pairs and Mann–Whitney U test for non-pair test. When the sample sizes were too small for normality test, which only happened for data in Figure 8, data were assumed to be normally distributed. Categorical data were compared with Fisher's exact test. *p < 0.05, **p < 0.01, ***p < 0.001.
Results
AGRP neurons project to the mPOA
We crossed AGRPCre animals with a reporter line (Ai34, MGI:4947243) that encodes Cre-inducible expression of tdTomato fused with synaptophysin, a synaptic vesicle protein, to fluorescently labels all axon terminals of AGRP neurons (Fig. 1A; Valtorta et al., 2004; Xu and Südhof, 2013). In such a compound line (AGRPCre::Ai34), we detected moderate tdTomato signals in the mPOA in both sexes, as marked by the expression of estrogen receptor α (ERα or Esr1) in this region (Fig. 1B; Wei et al., 2018). This observation is consistent with previous reports of AGRP immunoreactivity, which labels both axon fibers and terminals, in the mPOA (Broberger et al., 1998; Betley et al., 2013). Indeed, tdTomato signals observed in AGRPCre::Ai34 animals spread over the entire mPOA and closely match with the pattern of AGRP immunostaining in wild-type mice (Fig. 1C). Moreover, the average mean fluorescent intensity of tdTomato signals detected in the mPOA was slightly lower compared with other well known targets of AGRP neurons, such as the PVH and the LHA (Fig. 1D), suggesting lower projection density.
AGRP neurons form inhibitory synapses onto mPOA neurons
To confirm that AGRP neurons form functional synapses onto mPOA neurons, we crossed AGRPCre animals with a reporter line that encodes Cre-inducible expression of the light-sensitive cation channel channelrhodopsin-2 (ChR2) fused with EYFP (Fig. 2A; Madisen et al., 2012). These animals are referred to here and after as AGRPChR2 animals. In these animals, we recorded IPSCs by performing whole-cell patch-clamp in mPOA brain slices while repeatedly delivering a single, blue light pulse (473 nm, 10 ms, 30 sweeps, 4 s per sweep) to activate AGRP terminals (Fig. 2B). We found that in both male and female ∼30% mPOA neurons recorded (14 of 53 cells from 6 females and 18 of 56 cells from 5 males) reliably responded with an IPSC that could be reversibly blocked by GABAA receptor antagonist, Bicuculline (20 μM) (Fig. 2C). The onset latency, amplitude, and decay time constant of light-evoked IPSCs were comparable between male and female and were on par with AGRP synapses recorded in other brain regions (latency: female 8.73 ± 0.39 ms, male, 9.89 ± 0.45 ms, unpaired two-tailed t test, t = 1.952, df = 23, p = 0.0632; amplitude: female 124.45 ± 28.72 pA, male, 294.54 ± 90.72 pA, unpaired two-tailed t test, t = 1.726, df = 23, p = 0.0977; decay time constant: female 16.56 ± 1.67 ms, male, 19.32 ± 2.2 ms, unpaired two-tailed t test, t = 0.988, df = 23, p = 0.334; Fig. 2D; Atasoy et al., 2012).
Moreover, when we delivered trains of light pulses (473 nm, 10 ms, 20 Hz, 1 s on and 3 s off) to stimulate AGRP terminals, a protocol known to induce a level of AGRP neuronal activation comparable to that after ∼24 h FD (Atasoy et al., 2012; Mandelblat-Cerf et al., 2015; Jikomes et al., 2016), IPSC frequencies in these neurons increased significantly (female, N = 13; first: 10.99 ± 1.78 Hz, second(light): 19.05 ± 2.85 Hz, third: 12.02 ± 1.82 Hz, fourth: 8.39 ± 1.44 Hz, paired two-tailed t test; first vs second: t = 4.799, df = 12, p = 0.0004, third vs second: t = 3.264, df = 12, p = 0.0068, fourth vs second: t = 4.990, df = 12, p = 0.0003; Fig. 2E; male, N = 15; first: 5.06 ± 0.76 Hz, second(light): 7.81 ± 1.51 Hz, third: 4.81 ± 0.94 Hz, fourth: 4.19 ± 0.82 Hz, Wilcoxon matched-pairs signed rank test; first vs second: sum of signed ranks = 66, p = 0.0637, third vs second: sum of signed ranks = −102, p = 0.002; fourth vs second: sum of signed ranks = −104, p = 0.0015; Fig. 2F). In particular, 12 of 13 cells in 6 of 6 females and 10 of 15 cells in 3 of 5 males showed increased IPSC frequencies under light. Interestingly, the basal IPSC frequency of these cells is higher in female than male (female: 10.99 ± 1.78 Hz, N = 13, male: 5.06 ± 0.76 Hz, N = 15, unpaired two-tailed t test with Welch's correction, t = 3.059, df = 16.28, p = 0.0074), suggesting more spontaneous activities of inhibitory inputs onto these neurons in female.
Activation of AGRP neurons suppresses maternal nest-building
Given the demonstrated role of the mPOA in regulating active components of maternal care including pup retrieval and maternal nest-building (Tsuneoka et al., 2013; Wu et al., 2014; Wei et al., 2018), identification of AGRP→mPOA projections immediately suggests that hunger may directly modulate maternal care. To test this, we food deprived multiparous females for ∼25 h and tested their behaviors toward scattered pups that were placed away from the nest in a 15 min behavioral assay. We found that compared with ad libitum condition FD decreased the percentage of animals that successfully retrieved all pups to the nest without affecting the occurrence of pup retrieval (Table 1). Strikingly, FD also strongly suppressed maternal nest-building such that only 1 of 8 starved females displayed the behavior, compared with 8 of 8 under the fed condition (Table 1). By contrast, pup contact, locomotion, or the total duration that females crouch over pups did not change after starvation (Table 1). Together, these results show that FD hinders specific components of maternal care.
Table 1.
Behavior | Parameter | Condition |
Statistical test | p | |
---|---|---|---|---|---|
Ad libitum | Starvation | ||||
Pup contact | Animals, % | 8/8 | 8/8 | Fisher's test | 1 |
Count | 15.3 ± 2.2 | 14.6 ± 3.6 | Paired two-tailed t test | 0.89 (t = 0.1433, df = 7) | |
Latency, s | 8.4 ± 3.4 | 5.5 ± 2.4 | Wilcoxon matched-pairs signed rank test | 0.74 (sum of signed rank = −6) | |
Pup retrieval | Animals, % | 8/8 | 6/8 | Fisher's test | 0.47 |
Count | 5.0 ± 0.7 | 4.8 ± 1.4 | Paired two-tailed t test | 0.88 (t = 0.1510, df = 7) | |
Latency, s | 13.2 ± 3.4 | 65.8 ± 16.7 | Mann Whitney test | 0.0007 (U = 0) | |
Retrieval finish | Animals, % | 8/8 | 3/8 | Fisher's test | 0.020 |
Latency | 102.4 ± 31.7 | 561.3 ± 157.8 | Mann Whitney test | 0.0121 (df = 0) | |
Maternal nest-building | Animals, % | 8/8 | 1/8 | Fisher's test | 0.001 |
Total duration, s | 81.4 ± 21.0 | 4.9 ± 4.9 | Wilcoxon matched-pairs signed rank test | 0.008 (sum of signed rank = −36) | |
Crouching | Animals, % | 8/8 | 8/8 | Fisher's test | 1 |
Total duration, s | 357.8 ± 35.8 | 408.9 ± 95.8 | Paired two-tailed t test | 0.59 (t = 0.5608, df = 7) | |
Locomotion, mm/s | 34.5 ± 2.8 | 44.3 ± 6.6 | Paired two-tailed t test | 0.23 (t = 1.316, df = 7) |
To see whether activation of AGRP neurons could similarly affect pup retrieval and maternal nest-building, we implanted optic fibers in the arcuate nucleus in AGRPChR2 females to optogenetically stimulate AGRP neurons. Consistent with previous results (Aponte et al., 2011; Atasoy et al., 2012), light stimulation induced c-Fos expression in AGRP neurons (Fig. 3A; N = 3) and feeding (N = 27, no light: 0.18 ± 0.01 g vs light: 0.37 ± 0.03 g, paired two-tailed t test, t = 13.51, df = 26, p < 0.0001; Fig. 3B). Subsequently, we analyzed maternal behaviors of AGRPChR2 females toward scattered pups with or without light stimulation (Fig. 3C). As a control, we implanted AGRPCre females with optic fibers and showed that photostimulation in these animals had no adverse effects on pup contact, pup retrieval or maternal nest-building (N = 7, pup contact, latency, no light: 59.36 ± 28.4 s vs light: 34.04 ± 20.06 s, Wilcoxon matched-pairs signed rank test, sum of signed ranks = −28, p = 0.0156, count, no light: 17.33 ± 2.23 vs light: 17.1 ± 2.84, paired two-tailed t test, p = 0.857; Fig. 3D; pup retrieval, %trial, no light: 100% vs light: 100%, score, no light: 3 vs light: 2.95 ± 0.05, Wilcoxon matched-pairs signed rank test, sum of signed ranks = −1, p > 0.999; Fig. 3E; nest-building, %trial, no light: 66.67 ± 12.6% vs light: 61.9 ± 15.31%, Wilcoxon matched-pairs signed rank test, sum of signed ranks = −4, p > 0.625, total duration, no light: 34.2 ± 14.41 s vs light: 35.18 ± 14.19 s, paired two-tailed t test, t = 0.0727, df = 6, p = 0.944; Fig. 3F), indicating that light delivery alone does not impede maternal care.
In AGRPChR2 females tested as virgins, optogenetic stimulation did not affect pup contact or pup retrieval (Wilcoxon matched-pairs signed rank test, N = 27, pup contact, latency, no light: 16.62 ± 4.23 s vs light: 20.48 ± 6.24 s, sum of signed ranks = 68, p = 0.427, count, no light: 13.79 ± 1.43 vs light: 12.12 ± 1.15, sum of signed ranks = −126, p = 0.112; Fig. 3G; pup retrieval, %trial, no light: 96.3 ± 2.05% vs light: 97.53 ± 1.71%, sum of signed ranks = 3, p > 0.999, score, no light: 2.83 ± 0.08 vs light: 2.60 ± 0.13, sum of signed ranks = −39, p = 0.0859; Fig. 3H), but strongly suppressed maternal nest-building resulting in a drop in the occurrence of the behavior and at the same time a ∼60% decrease in the total duration of nest-building (Wilcoxon matched-pairs signed rank test, N = 27, %trial, no light: 90.12 ± 3.48% vs light: 74.07 ± 5.44%, sum of signed ranks = −79, p = 0.0258, total duration, no light: 103.9 ± 11.77 s vs light: 45.43 ± 7.41 s, sum of signed ranks = −318, p < 0.0001; Fig. 3I). Correspondingly, nest quality score was also significantly decreased when scattered nest materials were provided at the beginning of the behavioral test (N = 8, no light: 3.85 ± 0.53 vs light: 2.69 ± 0.45, Wilcoxon matched-pairs signed rank test, sum of signed ranks = 24, p = 0.0469).
Because parturition is known to improve maternal behaviors in rodents (Bridges, 1975; Dulac et al., 2014; Wu et al., 2014), we therefore also tested the effects of activating AGRP neurons on maternal behaviors in mothers. To do so, we mated AGRPChR2 females to deliver pups and tested their behaviors toward their own pups during lactation. In mother AGRPChR2 females, light stimulation similarly reduced the total duration of maternal nest-building without affecting the occurrence of the behavior or impairing pup contact or pup retrieval (Wilcoxon matched-pairs signed rank test, N = 10, pup contact, latency, no light: 8.09 ± 2.08 s vs light: 11.07 ± 3.38 s, sum of signed ranks = 7, p = 0.770, count, no light: 13.17 ± 3.62 vs light: 11 ± 2.53, p = 0.336; Fig. 3J; pup retrieval, %trial, no light: 100% vs light: 100%, score, no light: 2.99 ± 0.007 vs light: 3, sum of signed ranks = 3, p = 0.5; Fig. 3K; nest-building, %trial, no light: 76.67 ± 7.12% vs light: 60 ± 10.89%, sum of signed ranks = −14, p = 0.188, total duration, light: 75.81 ± 18.83 s vs light: 24.5 ± 8.78 s, p = 0.0195; Fig. 3L). Crucially, locomotion speed, core body temperature and other home cage activities were not changed under light stimulation in either virgin or mother AGRPChR2 females (Table 2). Together, these results show that optogenetic activation of AGRP neurons strongly suppress maternal nest-building.
Table 2.
Unit | No light | Light | Statistical test | p | N | ||
---|---|---|---|---|---|---|---|
Locomotion speed | mm/s | 92.9 ± 13.9 | 92.5 ± 13.6 | Mann Whitney test | U: 332 | 0.98 | 19 |
Core body temperature | °C | 37.5 ± 0.3 | 37.6 ± 0.3 | Wilcoxon matched-pairs signed rank test | W: 1 | 0.5 | 3 |
Rearing | s | 25.5 ± 6.7 | 25.7 ± 9.5 | Wilcoxon matched-pairs signed rank test | W: 54 | 0.1 | 19 |
Digging | s | 70.2 ± 16.0 | 46.2 ± 13.3 | Wilcoxon matched-pairs signed rank test | W: 61 | 0.3 | 19 |
Grooming | s | 6.8 ± 2.8 | 5.5 ± 2.7 | Wilcoxon matched-pairs signed rank test | W: 19 | 0.73 | 19 |
W, Sum of signed rank.
Activation of AGRP→mPOA projections suppresses maternal nest-building
To test whether activating AGRP projections to the mPOA or other brain areas alone can affect maternal care, we implanted optic fibers into the mPOA, PVH or LHA in virgin AGRPChR2 females and tested their behaviors toward scattered pups with or without light stimulation (Fig. 4A,E,I). As expected, activation of AGRP→PVH or AGRP→LHA projections elicited robust food intake (paired two-tailed t test, PVH, N = 8, no light: 0.04 ± 0.01 g vs light: 0.22 ± 0.02 g, t = 10.09, df = 7, p < 0.0001; Fig. 4F; LHA, N = 8, no light: 0.05 ± 0.01 g vs light: 0.24 ± 0.04 g, paired two-tailed t test, t = 4.593, df = 6, p = 0.0037; Fig. 4J). In comparison, activation of AGRP→mPOA projections elicited feeding in a subset of tested animals (4 of 8; N = 8, no light: 0.03 ± 0.01 g vs light: 0.15 ± 0.05 g, paired two-tailed t test, t = 2.247, df = 7, p = 0.0594; Fig. 4B). Furthermore, stimulation of AGRP→mPOA or AGRP→PVH projections but not AGRP→LHA projections suppressed total duration of maternal nest-building (mPOA, N = 18, Wilcoxon matched-pairs signed rank test, %trial, no light: 87.04 ± 3.94% vs light: 77.78 ± 7.13%, sum of signed ranks = −24, p = 0.125, total duration, no light: 85.32 ± 13.49 s vs light: 46.49 ± 13.21 s, sum of signed ranks = −131, p = 0.0028; Fig. 4D; PVH, N = 8, %trial, no light: 95.83 ± 4.17% vs light: 75 ± 8.33%, Wilcoxon matched-pairs signed rank test, sum of signed ranks = −15, p = 0.188, total duration, no light: 77.04 ± 13.76 s vs light: 28.64 ± 6.02 s, paired two-tailed t test, t = 3.132, df = 7, p = 0.0166; Fig. 4H; LHA, N = 7, Wilcoxon matched-pairs signed rank test, %trial, no light: 61.9 ± 1.84% vs light: 66.67 ± 7.27%, sum of signed ranks = 7, p = 0.594, total duration, no light: 25.7 ± 12.7 s vs light: 26.85 ± 7.89 s, sum of signed rank = 28, p = 0.9375; Fig. 4L). In addition, stimulating AGRP→mPOA but not the other two pathways also led to a slight decrease in pup retrieval score (mPOA, N = 18, Wilcoxon matched-pairs signed rank test, %trial, no light: 94.44 ± 4.04% vs light: 92.59 ± 4.31%, sum of signed ranks = −1, p > 0.999, score, no light: 2.74 ± 0.13 vs light: 2.46 ± 0.16, sum of signed ranks = −45, p = 0.0195; Fig. 4C; PVH, N = 8, Wilcoxon matched-pairs signed rank test, %trial, no light: 95.83 ± 4.17% vs light: 75 ± 8.33%, sum of signed ranks = −15, p = 0.188, score, no light: 2.92 ± 0.08 vs light: 2.65 ± 0.17, sum of signed ranks = −9, p = 0.312; Fig. 4G; LHA, N = 7, paired two-tailed t test, %trial, no light: 71.43 ± 11.34% vs light: 71.43 ± 11.34%, t = 0, df = 6, p = 1, score, no light: 2.23 ± 0.26 vs light: 2.43 ± 0.21, t = 0.8572, df = 6, p = 0.4242; Fig. 4K), which is reminiscent of pup retrieval deficits observed with acute FD (Table 1). Thus, activation of AGRP→mPOA or AGRP→PVH projections but not AGRP→LHA projections suppresses maternal nest-building.
Chemogenetic inhibition of mPOA Vgat+ neurons reduces maternal nest-building
One potential confounding factor with the above terminal stimulation experiments is that it is difficult to discern whether the observed behavioral effects could be because of unintended stimulation of AGRP fibers of passage to other brain areas, especially considering the proximity of mPOA and PVH and with other targets of AGRP neurons (Betley et al., 2013). As such, we sought to directly target mPOA neurons to see whether the observed suppression on maternal nest-building by stimulation of AGRP→mPOA projections can be reproduced by inhibition of mPOA neurons. To do this, we first performed single-cell RT-PCR after whole-cell recordings (Fig. 5A) and found that all light-responsive mPOA neurons expressed Vgat (9 of 9; Fig. 5B), even though the mPOA contains both Vgat+ and Vglut2+ neurons (Wei et al., 2018). Next, we locally injected adeno-associated viruses (AAVs) encoding Cre-inducible HM4D, or mCherry as the control, into the mPOA of Vgat-Ires-Cre females (Fig. 5C,D). Post hoc histological analysis revealed that viral expression was mostly restricted to the mPOA with an estimated spread of ∼960 ± 54 μm along the anterior–posterior axis and an infection rate of ∼20 ± 2% of Nissl+ cells in the targeted region (N = 3). As expected, CNO perfusion in brain slices lowered the membrane potential of HM4D infected neurons and reduced the firing rates of these neurons (5/5; Fig. 5E; Krashes et al., 2013). Behaviorally, we found that CNO administration compared with saline significantly reduced the total duration of maternal nest-building but not the occurrence of the behavior in HM4D transduced animals but not the controls (control, N = 14, Wilcoxon matched-pairs signed rank test, %trial, saline 75 ± 8.69% vs CNO 75 ± 8.69%, sum of signed rank = 0, p = 1, total duration, saline 47.43 ± 10.12 s vs CNO 52.44 ± 13.39 s, sum of signed rank = 9, p = 0.7869; HM4D, N = 12, %trial, saline 87.5 ± 6.53% vs CNO 75 ± 7.54%, Wilcoxon matched-pairs signed rank test, sum of signed rank = −9, p = 0.375, total duration, saline 53.71 ± 9.09 s vs CNO 29.58 ± 5.54 s, paired two-tailed test, t = 2.832, df = 11, p = 0.0163; Fig. 5G). By comparison, CNO administration did not affect pup retrieval in either group (Wilcoxon matched-pairs signed rank test, control, N = 14, %trial, saline 96.43 ± 3.57% vs CNO 96.43 ± 3.57%, sum of signed rank = 0, p = 1, score, saline 2.79 ± 0.12 vs CNO 2.78 ± 0.11, sum of signed rank = 2, p = 0.875; HM4D, N = 12, %trial, saline 100% vs CNO 87.5 ± 6.53%, sum of signed rank = −6, p = 0.25, score, saline 2.99 ± 0.01 vs CNO 2.63 ± 0.17, sum of signed rank = −13, p = 0.125; Fig. 5F). These results mirror behavioral deficits observed when we optogenetically stimulating AGRP→mPOA projections. On the other hand, food intake was not affected by CNO in either HM4D or control group (>2 h, mCherry, N = 4, saline 0.22 ± 0.07 g vs CNO, 0.19 ± 0.03 g, Wilcoxon matched-pairs signed rank test, sum of signed ranks = 0, p > 0.9999; HM4D, N = 12, saline 0.24 ± 0.03 g vs CNO 0.24 ± 0.04 g, paired two-tailed t test, t = 0.02054, df = 11, p = 0.984), which raises the possibility that increased food intake observed in a subset of animals when stimulating AGRP→mPOA projections (Fig. 4B) may be because of additional activation of AGRP projections to other brain areas.
Along this line, we also chemogenetically inhibited LHA Vglut2+ neurons, another population of hypothalamic neurons critical for feeding and innate drives (Jennings et al., 2013; Y. Li et al., 2018). To this end, we bilaterally injected AAVs encoding Cre-inducible HM4D, or mCherry as the control, into the LHA of Vglut2-Ires-Cre females (Fig. 6A–C). Post hoc histological analysis revealed that HM4D expression was mostly restricted to the LHA with an estimated spread of ∼918 ± 28 μm along the anterior–posterior axis (N = 11) and an estimated infection rate of ∼25 ± 2% of Nissl+ cells in the region (N = 3). Behaviorally, we found that CNO administration compared with saline significantly increased food intake in HM4D transduced animals but not the controls (paired two-tailed t test, control, N = 8, 1 h, saline 0.15 ± 0.05 g vs CNO 0.18 ± 0.05 g, t = 0.6759, df = 7, p = 0.521, 2 h, saline 0.20 ± 0.06 g vs CNO 0.29 ± 0.08 g, t = 1.138 df = 7, p = 0.293, 3 h, saline 0.37 ± 0.09 g vs CNO 0.37 ± 0.09 g, t = 0.02530, df = 7, p = 0.981, 6 h, saline 0.64 ± 0.11 g vs CNO 0.68 ± 0.11 g, t = 0.3572, df = 7, p = 0.732; HM4D, N = 11, 1 h, saline 0.17 ± 0.04 g vs CNO 0.28 ± 0.05 g, t = 1.638, df = 10, p = 0.132, 2 h, saline 0.22 ± 0.04 g vs CNO 0.40 ± 0.07 g, t = 2.223 df = 10, p = 0.0504, 3 h, saline 0.31 ± 0.05 g vs CNO 0.51 ± 0.07 g, t = 2.307, df = 10, p = 0.0437, 6 h, saline 0.59 ± 0.07 g vs CNO 0.78 ± 0.10 g, t = 1.608, df = 10, p = 0.139; Fig. 6D). By contrast, CNO administration had little effects on pup contact, pup retrieval or maternal nest-building (pup contact: latency, mCherry, N = 8, saline 3.93 ± 1.39 s vs CNO 4.55 ± 1.27 s, Wilcoxon matched-pairs signed rank test, sum of signed ranks = 10, p = 0.547, HM4D, N = 11, saline 5.09 ± 0.81 s vs CNO 7.27 ± 1.62 s, paired two-tailed t test, t = 1.216, df = 10, p = 0.253; count, paired two-tailed t test, mCherry, N = 8, saline 38.06 ± 5.63 vs CNO 39.63 ± 6.60, t = 0.374, df = 7, p = 0.720, HM4D, N = 11, saline 39.55 ± 4.82 vs CNO 34.73 ± 3.74, t = 0.796, df = 10, p = 0.445; Fig. 6E; pup retrieval: %trial, mCherry, N = 8, saline 100% vs CNO 100%, p = 1, HM4D, N = 11, saline 100% vs CNO 95.45 ± 4.55%, Wilcoxon matched-pairs signed rank test, sum of signed rank = −1, p > 0.999; score, Wilcoxon matched-pairs signed rank test, mCherry, N = 8, saline 2.88 ± 0.13 vs CNO 3, sum of signed ranks = 1, p > 0.999, HM4D, N = 11, saline 2.77 ± 0.12 vs CNO 2.77 ± 0.12, sum of signed ranks = 1, p > 0.999; Fig. 6F; nest-building: %trial, Wilcoxon matched-pairs signed rank test, mCherry, N = 8, saline 93.75 ± 6.25% vs CNO 100%, sum of signed ranks = 1, p > 0.999, HM4D, N = 11, saline 90.91 ± 6.10% vs CNO 90.91 ± 6.10%, sum of signed ranks = 0, p > 0.999, total duration, paired two-tailed t test, mCherry, N = 8, saline 63.91 ± 15.16 vs CNO 71.94 ± 16.9, t = 0.576, df = 7, p = 0.582, HM4D, N = 11, saline 70.46 ± 14.86 vs CNO 66.2 ± 11.12, t = 0.313, df = 10, p = 0.761; Fig. 6G). These results suggest that LHA Vglut2+ neurons unlikely regulate maternal care. Thus, although AGRP projections to other brain regions such as PVN may also play a role in modulating maternal care, these results nevertheless suggest at some levels the functional selectivity of AGRP→mPOA projections.
Thermal challenge induced nest-building is not inhibited by AGRP→mPOA projections.
Furthermore, as nest-building occurs not only as a component of maternal care but also as a thermal regulatory behavior (Bult and Lynch, 1997; Tan et al., 2016), we want to know whether suppression of nest-building by AGRP→mPOA projections is restricted to the context of maternal care. To answer this question, we exposed virgin AGRPChR2 females implanted with bilateral optic fibers in the mPOA to 16°C air temperature for 4.5 h in a cage with scattered nest materials (Fig. 7A) while optogenetically stimulating AGRP→mPOA projections during alternating 1.5 h segments (Fig. 7B). Compared with the control condition, the percentage of trial that nest-building occurred and the total duration that an animal spent on nest-building was not reliably affected by optogenetic stimulation of AGRP terminals in the mPOA (%animal, Fisher's test, first, no light: 7/8 vs light: 4/8, p = 0.282, second, no light: 6/8 vs light: 6/8, p = 1, third, no light: 5/8 vs light: 5/8, p = 1; Fig. 7C; total duration, N = 8, first, no light: 30.91 ± 18.02 s vs light: 27.91 ± 14.13 s, Wilcoxon matched-pairs signed rank test, sum of signed ranks = −2, p = 0.945, second, no light: 43.28 ± 17.33 s vs light: 41.3 ± 13.99 s, paired two-tailed t test, t = 0.086, df = 7, p = 0.934, third, no light: 20.98 ± 7.52 s vs light: 9.98 ± 4.55 s, Wilcoxon matched-pairs signed rank test, sum of signed ranks = 14, p = 0.297; Fig. 7D). Together, these results support the notion that AGRP→mPOA projections modulate nest-building particularly in the context of maternal care.
Distinctive subsets of mPOA Vgat+ neurons underlie pup retrieval and maternal nest-building
In experiments described above, we show that optogenetic stimulation of AGRP→mPOA projections has minimum effects on pup retrieval but strongly inhibits maternal nest-building. Yet, we and others have shown previously that destruction of the mPOA or ablation of ∼80% of mPOA Vgat+ neurons impairs both pup retrieval and maternal nest-building (Tsuneoka et al., 2013; Wei et al., 2018). To integrate these seemingly inconsistent results, we optogenetically activated and inhibited mPOA Vgat+ neurons (Fig. 8) and compared the behavioral outcome with optogenetic manipulation of mPOA Esr1+ neurons, which make up ∼50% of the mPOA Vgat+ neurons and are known to promote pup-retrieval (Fang et al., 2018; Wei et al., 2018).
To this end, we first injected AAVs encoding Cre-dependent ChR2 unilaterally into the mPOA of Vgat-Cre females and implanted optic fibers (Fig. 8A). Phasic activation of mPOA Vgat+ neurons (12 mW, 10 ms, 40 Hz, 15 s) in the presence of pups elicited light-locked display of pup retrieval behavior (mCherry, N = 5, 0, ChR2, N = 8, 58.11 ± 12.7%, unpaired two-tailed t test, t = 3.558, df = 11, p = 0.0045; Fig. 8B), which is similar to activation of mPOA Esr1+ neurons. Interestingly, the efficacy for light to induce pup retrieval was greater in Vgat-Cre females (Vgat-Cre, 8/8 vs Esr1-Cre, 5/10, p = 0.0359, Fisher's test; Wei et al., 2018). Surprisingly, when animals were tested in the presence of nest materials, optogenetic stimulation of mPOA Vgat+ neurons but not Esr1+ neurons also promoted nest-building behavior (Vgat-Cre, 8/9 vs Esr1-Cre, 1/7, Fisher's exact test, p = 0.0034) with a behavioral onset latency of 5.92 ± 0.63 s after light delivery (Vgat, mCherry, N = 5, 2.5 ± 2.5%, ChR2, N = 9, 43.23 ± 9.74%, unpaired two-tailed t test, t = 3.034, df = 12, p = 0.0104; Esr1, mCherry, N = 4, 0%, ChR2, N = 7, 5.36 ± 5.36%, Mann–Whitney test, U = 12, p > 0.999, Vgat ChR2 vs Esr1 ChR2, Mann–Whitney test, U = 7, p = 0.0067; Fig. 8C). These results indicate that the non-Esr1+ subset of mPOA Vgat+ neurons may play a more prominent role in driving maternal nest-building. Indeed, a recent study (Fang et al., 2018) using single-unit recordings in the mPOA has identified distinctive neuronal activation patterns in the mPOA associated with pup retrieval and maternal nest-building. In particular, ∼20% of mPOA neurons recorded in the study were activated during pup retrieval while ∼5% were activated during maternal nest-building. Furthermore, Esr1+ neurons were only activated during pup directed behaviors. Together, these results suggest that distinctive subsets of mPOA Vgat+ neurons likely underlie pup retrieval and maternal nest-building.
To test whether activities in mPOA Vgat+ neurons are in fact required for pup retrieval and maternal nest-building, we optogenetically inhibited these neurons by injecting AAVs encoding Cre-dependent GtACR1(Govorunova et al., 2015), a light gated chloride channel, bilaterally into the mPOA of Vgat-Ires-Cre females (Fig. 8D). Post hoc analysis revealed that expression of GtACR1 was mostly restricted to the mPOA (Fig. 8E) with an estimated spread of ∼747 ± 33 μm along the anterior–posterior axis and an infection rate of ∼28 ± 2% of Nissl+ cells in the targeted region (N = 3). Control animals were injected with AAVs encoding Cre-dependent EYFP. GtACR1 mediated neuronal inhibition has the advantage of subsecond precision (Fig. 8F) compared with HM4D (∼minutes to hours) and the advantage of reversibility compared with neuronal ablation and is therefore presumed to be more specific and less subjected to compensatory mechanisms or desensitization issues in vivo.
GtACR1 and control EYFP females were mated to produce pups and were subsequently tested during lactation or postpartum. Optogenetic inhibition of mPOA Vgat+ neurons during pup approaching greatly reduced the occurrence of pup retrieval behavior and the number of pups that was retrieved to the nest without affecting pup contact behaviors (paired two-tailed t test; pup contact, EYFP, 0 mW 18.5 ± 6.75 vs 12 mW 13.33 ± 2.80, t = 1.246, df = 2, p = 0.3389, GtACR1, 0 mW 10.5 ± 3.78 vs 12 mW 12.63 ± 2.01, t = 0.419, df = 3, p = 0.703; Fig. 8G; pup retrieval, %trail, EYFP 0 mW 100% vs 12 mW 100%, p = 1, GtACR1, 0 mW 100% vs 12 mW 25 ± 14.43%, t = 5.196, df = 3, p = 0.0138, #pups retrieved, EYFP, 0 mW 2.67 ± 0.33 vs 12 mW 2.83 ± 0.17, t = 1, df = 2, p = 0.423, GtACR1, 0 mW 2.38 ± 0.38 vs 12 mW 0.13 ± 0.13, t = 6.971, df = 3, p = 0.0061; Fig. 8H; EYFP, N = 3, GtACR1, N = 4). Meanwhile, optogenetic inhibition of mPOA Vgat+ neurons after a pup retrieval had already been initiated greatly reduced the likelihood that the carried pup was brought to the nest (EYFP N = 3, 95.24 ± 4.76%, GtACR1, N = 4, 31.8 ± 8.09%, unpaired two-tailed t test, t = 6.116, df = 5, p = 0.0017; Fig. 8I) without changing the average duration of the carry (EYFP, N = 3, 2.81 ± 1.59 s, GtACR1, N = 5, 2.56 ± 0.46 s, unpaired two-tailed t test, t = 0.226, df = 6, p = 0.83). Not surprisingly, similar behavioral deficits in pup retrieval were also observed with optogenetic inhibition of mPOA Esr1+ neurons (Wei et al., 2018). More importantly, optogenetic inhibition of mPOA Vgat+ neurons during maternal nest-building also interrupted the behavior as evidenced by reduced time that animals spent building the nest after light delivery, decreased mean duration of the nest-building bout and a shortened latency to terminate the behavior in GtACR1 animals compared with controls (EYFP, N = 5, GtACR1, N = 6, unpaired two-tailed t test, mean duration, EYFP 4.48 ± 0.75 s vs GtACR1 2.60 ± 0.26 s, t = 2.551, df = 9, p = 0.0312, latency to stop, EYFP 4.94 ± 0.60 s vs GtACR1 1.76 ± 0.51 s, t = 4.051, df = 9, p = 0.0029; Fig. 8J), indicating that activities in mPOA Vgat+ neurons are indeed required to maintain maternal nest-building. Together, we suggest that optogenetic stimulation of AGRP terminals in the mPOA selectively interfere with maternal nest-building perhaps by more prominently affecting neural subsets and/or activities that are associated with maternal nest-building.
Discussion
In order for animals to initiate ethologically appropriate behaviors, they must typically decide between behavioral repertoires driven by multiple and often conflicting internal states. Despite recent progress on neural substrates that regulate individual behaviors (Wu et al., 2012; Allen et al., 2017; Andermann and Lowell, 2017; Chung et al., 2017; Mu et al., 2017; Sternson and Eiselt, 2017; Zhao et al., 2017; Augustine et al., 2018; Campos et al., 2018, etc.), how these neural pathways interact to coherently and optimally modulate behavioral outputs, in particular to achieve a balance between behaviors that serve immediate physiological needs versus those that benefit the propagation of the species, remains largely unclear. Here, we characterized a direct pathway from AGRP neurons, a neuronal population known to drive hunger behaviors, to the mPOA, a brain region critical for maternal care. We show that activation of AGRP neurons or AGRP→mPOA projections in females dramatically inhibits maternal nest-building while leaving mostly intact pup retrieval behavior, demonstrating a previously unappreciated potential for AGRP neurons to directly modulate maternal care.
One caveat of our study is that despite extensive experimental efforts we could not provide explicit evidence that AGRP neurons projecting to the mPOA are activated during hunger, because of difficulties of retrograde viral tracing methods to label such a subset of AGRP neurons and sensitivity issues in terminal recordings of Ca2+ transients. This caveat highlights current technical challenges to study projections of moderate density in deep brain tissues. The only study (Betley et al., 2015) that has achieved long term in vivo recording of activities of individual AGRP neurons reports that 54 of 61 identified AGRP neurons show elevated GCamp6 signals after FD, demonstrating that the vast majority of AGRP neurons are activated during hunger. In addition, the stimulation parameter that we used in this study has been shown to promote a level of neuronal activation that is similar to that after ∼24 h of FD (Mandelblat-Cerf et al., 2015; Jikomes et al., 2016). Furthermore, photostimulation of AGRP neurons or AGRP terminals mimic the effects of acute FD on the maternal nest-building, suggesting that activation of AGRP neurons likely mediate some effects of hunger on maternal care. The reason that the moderate inhibitory effects of hunger on pup retrieval cannot be recapitulated by optogenetic activation of AGRP neurons or terminals could be because of activation of other neural or endocrine systems along with AGRP neurons during starvation.
Interestingly, in both hunger and optogenetic stimulation of AGRP neurons/terminals pup retrieval is affected to a lesser extent than maternal nest-building. What might be the neural mechanisms that allow pup retrieval and maternal nest-building to be differentially modulated, given that the mPOA critically regulates both (Jacobson et al., 1980; Tsuneoka et al., 2013)? A recent study shows that pup retrieval and maternal nest-building are associated with different neuronal activity patterns in the mPOA and neurons that are activated during pup retrieval tends to be inhibited during nest-building (Fang et al., 2018). Correspondingly, we show that optogenetic activation of mPOA Vgat+ neurons elicits both pup retrieval and nest-building while stimulation of mPOA Esr1+ neurons, which account for ∼50% of Vgat+ neurons, elicits only pup retrieval. Therefore, although the mPOA as a whole regulates both pup retrieval and maternal nest-building, distinct neuronal subsets likely underlie either behavior. Consistently, lesion or optogenetic inhibition of mPOA Vgat+ neurons disrupt both pup retrieval and maternal nest-building. One discrepancy here is that chemogenetic inhibition of mPOA Vgat+ neurons only suppressed maternal nest-building in our study (Fig. 5). This discrepancy may be caused by the low infection rate of the HM4D virus (∼20 ± 2% of mPOA Nissl+ cells) compared with those achieved in optogenetic inhibition experiments (∼28 ± 2% of mPOA Nissl+ cells) or ablation experiments (∼80% of mPOA Vgat+ neurons; Wei et al., 2018). It could also be because of incomplete neuronal suppression in HM4D experiments compared with optogenetic inhibition or ablation experiments. Regardless, we suggest that AGRP neurons may preferentially inhibit mPOA neurons underlying maternal nest-building thereby rendering maternal nest-building more sensitive to hunger modulation.
Noteworthy, heterogeneity of mPOA neurons in terms of genetic marker expression, projection patterns and behavioral functions have been extensively demonstrated (Tsuneoka et al., 2013, 2017; Wu et al., 2014; Kohl et al., 2018; Moffitt et al., 2018). For example, mPOA neurons that express the neuropeptide Galanin can be further divided to several different subpopulations and promote pup grooming via projections to different downstream targets, each of which mediates a distinctive motor or motivational aspect of the behavior (Kohl et al., 2018; Moffitt et al., 2018). Intriguingly, the arcuate nucleus provides a large fraction of inputs to mPOA Galanin+ neurons and ablation of mPOA Galanin+ neurons also results in decreased maternal nest-building (Wu et al., 2014; Kohl et al., 2018). It is attempting to speculate that perhaps a subset of mPOA Galanin+ neurons regulate maternal nest-building, a possibility that remains to be tested experimentally. In general, better understanding of mPOA neuronal types through gene expression profiling at single-cell resolution coupled with functional investigation is needed to further deconvolute the diverse roles that the mPOA plays in maternal care and other behaviors (C. Li et al., 2018; Moffitt et al., 2018; Wei et al., 2018).
Finally, what might be the ethological significance to selectively reduce maternal nest-building but not pup retrieval? Mammalian pups depend on care provided by others to survive. Ethologically, retrieving pups that have wandered away from the nest protect pups from predation while building/maintaining a secure nest protect pups from coldness, hence both behaviors increase the survival rate of the young. Indeed, higher levels of maternal nest-building were positively linked to more and better-health offspring being produced in house mice over a long period of time (Bult and Lynch, 1997). Even so, one can imagine that in the wild retrieval of pups that have wondered away may be more pressing, failure of which more likely result in immediate loss of pups, therefore may be of higher priority to a female, even during hunger. Consistent with this view, we have previously found that presence of pups strongly delayed and decreased food consumption in virgin female mice and even suppressed feeding induced by optogenetic activation of AGRP neurons (Han et al., 2017). Moreover, chemogenetic activation of mPOA Vglut2+ but not Vgat+ neurons were sufficient to suppress hunger-induced feeding (Han et al., 2017). Together with data presented here, we propose a model (Fig. 9) where during hunger activation of AGRP neurons results in elevated inhibition of mPOA Vgat+ neurons and suppression of maternal nest-building, whereas in parallel activation of mPOA Vglut2+ neurons and other brain regions by pup-derived sensory cues delays feedings. Such reciprocal antagonism allows a female to balance feeding with different components of maternal care, possibly to maximize fitness. In summary, our results offer new insight into neural organization of behaviors and neural mechanisms that coordinate behavioral selection.
Footnotes
This work is supported by Grants from the National Nature Science Foundation of China [31471065 (X.-H.X.), 31871066 (X.-H.X.), 31771169 (W.L.S.)], Ministry of Science and Technology Office China 973 program(2015CB559201 to X.-H.X.), the Thousand Young Talents Program of China, the Strategic Priority Research Program of the Chinese Academy of Sciences (XDB02030005 and XDBS01010200 to X.-H.X.), and as part of the CAS interdisciplinary innovation team. We thank members of the Xu Laboratory for comments on the paper, and Drs. Ju Huang, Yan-Gang Sun, and Hua-Tai Xu for assistance with animals.
The authors declare no competing financial interests.
References
- Alhadeff AL, Su Z, Hernandez E, Klima ML, Phillips SZ, Holland RA, Guo C, Hantman AW, De Jonghe BC, Betley JN (2018) A neural circuit for the suppression of pain by a competing need state. Cell 173:140–152.e15. 10.1016/j.cell.2018.02.057 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Allen WE, DeNardo LA, Chen MZ, Liu CD, Loh KM, Fenno LE, Ramakrishnan C, Deisseroth K, Luo L (2017) Thirst-associated preoptic neurons encode an aversive motivational drive. Science 357:1149–1155. 10.1126/science.aan6747 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Andermann ML, Lowell BB (2017) Toward a wiring diagram understanding of appetite control. Neuron 95:757–778. 10.1016/j.neuron.2017.06.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Aponte Y, Atasoy D, Sternson SM (2011) AGRP neurons are sufficient to orchestrate feeding behavior rapidly and without training. Nat Neurosci 14:351–355. 10.1038/nn.2739 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Atasoy D, Betley JN, Su HH, Sternson SM (2012) Deconstruction of a neural circuit for hunger. Nature 488:172–177. 10.1038/nature11270 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Augustine V, Gokce SK, Lee S, Wang B, Davidson TJ, Reimann F, Gribble F, Deisseroth K, Lois C, Oka Y (2018) Hierarchical neural architecture underlying thirst regulation. Nature 555:204–209. 10.1038/nature25488 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Betley JN, Cao ZF, Ritola KD, Sternson SM (2013) Parallel, redundant circuit organization for homeostatic control of feeding behavior. Cell 155:1337–1350. 10.1016/j.cell.2013.11.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Betley JN, Xu S, Cao ZFH, Gong R, Magnus CJ, Yu Y, Sternson SM (2015) Neurons for hunger and thirst transmit a negative-valence teaching signal. Nature 521:180–185. 10.1038/nature14416 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Beutler LR, Chen Y, Ahn JS, Lin YC, Essner RA, Knight ZA (2017) Dynamics of gut–brain communication underlying hunger. Neuron 96:461–475.e5. 10.1016/j.neuron.2017.09.043 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bridges RS. (1975) Long-term effects of pregnancy and parturition upon maternal responsiveness in the rat. Physiol Behav 14:245–249. 10.1016/0031-9384(75)90028-1 [DOI] [PubMed] [Google Scholar]
- Broberger C, Johansen J, Johansson C, Schalling M, Hökfelt T (1998) The neuropeptide Y/agouti gene-related protein (AGRP) brain circuitry in normal, anorectic, and monosodium glutamate-treated mice. Proc Natl Acad Sci U S A 95:15043–15048. 10.1073/pnas.95.25.15043 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bult A, Lynch CB (1997) Nesting and fitness: lifetime reproductive success in house mice bidirectionally selected for thermoregulatory nest-building behavior. Behav Genet 27:231–240. 10.1023/A:1025610130282 [DOI] [PubMed] [Google Scholar]
- Burnett CJ, Li C, Webber E, Tsaousidou E, Xue SY, Brüning JC, Krashes MJ (2016) Hunger-driven motivational state competition. Neuron 92:187–201. 10.1016/j.neuron.2016.08.032 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Campos CA, Bowen AJ, Roman CW, Palmiter RD (2018) Encoding of danger by parabrachial CGRP neurons. Nature 555:617–622. 10.1038/nature25511 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Carter ME, Soden ME, Zweifel LS, Palmiter RD (2013) Genetic identification of a neural circuit that suppresses appetite. Nature 503:111–114. 10.1038/nature12596 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chao HT, Chen H, Samaco RC, Xue M, Chahrour M, Yoo J, Neul JL, Gong S, Lu HC, Heintz N, Ekker M, Rubenstein JL, Noebels JL, Rosenmund C, Zoghbi HY (2010) Dysfunction in GABA signalling mediates autism-like stereotypies and rett syndrome phenotypes. Nature 468:263–269. 10.1038/nature09582 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chen Y, Lin YC, Kuo TW, Knight ZA (2015) Sensory detection of food rapidly modulates arcuate feeding circuits. Cell 160:829–841. 10.1016/j.cell.2015.01.033 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chung S, Weber F, Zhong P, Tan CL, Nguyen TN, Beier KT, Hörmann N, Chang WC, Zhang Z, Do JP, Yao S, Krashes MJ, Tasic B, Cetin A, Zeng H, Knight ZA, Luo L, Dan Y (2017) Identification of preoptic sleep neurons using retrograde labelling and gene profiling. Nature 545:477–481. 10.1038/nature22350 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cowley MA, Smith RG, Diano S, Tschöp M, Pronchuk N, Grove KL, Strasburger CJ, Bidlingmaier M, Esterman M, Heiman ML, Garcia-Segura LM, Nillni EA, Mendez P, Low MJ, Sotonyi P, Friedman JM, Liu H, Pinto S, Colmers WF, Cone RD, et al. (2003) The distribution and mechanism of action of ghrelin in the CNS demonstrates a novel hypothalamic circuit regulating energy homeostasis. Neuron 37:649–661. 10.1016/S0896-6273(03)00063-1 [DOI] [PubMed] [Google Scholar]
- Cowley MA, Smart JL, Rubinstein M, Cerdán MG, Diano S, Horvath TL, Cone RD, Low MJ (2001) Leptin activates anorexigenic POMC neurons through a neural network in the arcuate nucleus. Nature 411:480–484. 10.1038/35078085 [DOI] [PubMed] [Google Scholar]
- Dulac C, O'Connell LA, Wu Z (2014) Neural control of maternal and paternal behaviors. Science 345:765–770. 10.1126/science.1253291 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fang YY, Yamaguchi T, Song SC, Tritsch NX, Lin D (2018) A hypothalamic midbrain pathway essential for driving maternal behaviors. Neuron 98:192–207.e10. 10.1016/j.neuron.2018.02.019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Govorunova EG, Sineshchekov OA, Janz R, Liu X, Spudich JL (2015) NEUROSCIENCE. natural light-gated anion channels: a family of microbial rhodopsins for advanced optogenetics. Science 349:647–650. 10.1126/science.aaa7484 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hahn TM, Breininger JF, Baskin DG, Schwartz MW (1998) Coexpression of agrp and NPY in fasting-activated hypothalamic neurons. Nat Neurosci 1:271–272. 10.1038/1082 [DOI] [PubMed] [Google Scholar]
- Han Y, Li XY, Wang SR, Wei YC, Xu XH (2017) Presence of pups suppresses hunger-induced feeding in virgin adult mice of both sexes. Neuroscience 362:228–238. 10.1016/j.neuroscience.2017.08.047 [DOI] [PubMed] [Google Scholar]
- Jacobson CD, Terkel J, Gorski RA, Sawyer CH (1980) Effects of small medial preoptic area lesions on maternal behavior: retrieving and nest building in the rat. Brain Res 194:471–478. 10.1016/0006-8993(80)91226-3 [DOI] [PubMed] [Google Scholar]
- Jennings JH, Rizzi G, Stamatakis AM, Ung RL, Stuber GD (2013) The inhibitory circuit architecture of the lateral hypothalamus orchestrates feeding. Science 341:1517–1521. 10.1126/science.1241812 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jikomes N, Ramesh RN, Mandelblat-Cerf Y, Andermann ML (2016) Preemptive stimulation of AgRP neurons in fed mice enables conditioned food seeking under threat. Curr Biol CB 26:2500–2507. 10.1016/j.cub.2016.07.019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kamegai J, Tamura H, Shimizu T, Ishii S, Sugihara H, Wakabayashi I (2000) Central effect of ghrelin, an endogenous growth hormone secretagogue, on hypothalamic peptide gene expression. Endocrinology 141:4797–4800. 10.1210/endo.141.12.7920 [DOI] [PubMed] [Google Scholar]
- Kohl J, Babayan BM, Rubinstein ND, Autry AE, Marin-Rodriguez B, Kapoor V, Miyamishi K, Zweifel LS, Luo L, Uchida N, Dulac C (2018) Functional circuit architecture underlying parental behaviour. Nature 556:326–331. 10.1038/s41586-018-0027-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Krashes MJ, Koda S, Ye C, Rogan SC, Adams AC, Cusher DS, Maratos-Flier E, Roth BL, Lowell BB (2011) Rapid, reversible activation of AgRP neurons drives feeding behavior in mice. J Clin Invest 121:1424–1428. 10.1172/JCI46229 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Krashes MJ, Shah BP, Koda S, Lowell BB (2013) Rapid versus delayed stimulation of feeding by the endogenously released AgRP neuron mediators GABA, NPY, and AgRP. Cell Metab 18:588–595. 10.1016/j.cmet.2013.09.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kuroda KO, Numan M (2014) The medial preoptic area and the regulation of parental behavior. Neurosci Bull 30:863–865. 10.1007/s12264-014-1462-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li C, Wang S, Chen Y, Zhang X (2018) Somatosensory neuron typing with high-coverage single-cell RNA sequencing and functional analysis. Neurosci Bull 34:200–207. 10.1007/s12264-017-0147-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li Y, Zeng J, Zhang J, Yue C, Zhong W, Liu Z, Feng Q, Luo M (2018) Hypothalamic circuits for predation and evasion. Neuron 97:911–924.e5. 10.1016/j.neuron.2018.01.005 [DOI] [PubMed] [Google Scholar]
- Livneh Y, Ramesh RN, Burgess CR, Levandowski KM, Madara JC, Fenselau H, Goldey GJ, Diaz VE, Jikomes N, Resch JM, Lowell BB, Andermann ML (2017) Homeostatic circuits selectively gate food cue responses in insular cortex. Nature 546:611–616. 10.1038/nature22375 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Luquet S, Perez FA, Hnasko TS, Palmiter RD (2005) NPY/AgRP neurons are essential for feeding in adult mice but can be ablated in neonates. Science 310:683–685. 10.1126/science.1115524 [DOI] [PubMed] [Google Scholar]
- Madisen L, Mao T, Koch H, Zhuo JM, Berenyi A, Fujisawa S, Hsu YW, Garcia AJ 3rd, Gu X, Zanella S, Kidney J, Gu H, Mao Y, Hooks BM, Boyden ES, Buzsáki G, Ramirez JM, Jones AR, Svoboda K, Han X, et al. (2012) A toolbox of Cre-dependent optogenetic transgenic mice for light-induced activation and silencing. Nat Neurosci 15:793–802. 10.1038/nn.3078 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mandelblat-Cerf Y, Ramesh RN, Burgess CR, Patella P, Yang Z, Lowell BB, Andermann ML (2015) Arcuate hypothalamic AgRP and putative POMC neurons show opposite changes in spiking across multiple timescales. eLife 4:e07122. 10.7554/eLife.07122 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Moffitt JR, Bambah-Mukku D, Eichhorn SW, Vaughn E, Shekhar K, Perez JD, Rubinstein ND, Hao J, Regev A, Dulac C, Zhuang X (2018) Molecular, spatial and functional single-cell profiling of the hypothalamic preoptic region. Science 362:eaau5324. 10.1126/science.aau5324 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mu D, Deng J, Liu KF, Wu ZY, Shi YF, Guo WM, Mao QQ, Liu XJ, Li H, Sun YG (2017) A central neural circuit for itch sensation. Science 357:695–699. 10.1126/science.aaf4918 [DOI] [PubMed] [Google Scholar]
- Newman SW. (1999) The medial extended amygdala in male reproductive behavior. A node in the mammalian social behavior network. Ann N Y Acad Sci 877:242–257. 10.1111/j.1749-6632.1999.tb09271.x [DOI] [PubMed] [Google Scholar]
- Numan M. (1974) Medial preoptic area and maternal behavior in the female rat. J Comp Physiol Psychol 87:746–759. 10.1037/h0036974 [DOI] [PubMed] [Google Scholar]
- Padilla SL, Qiu J, Soden ME, Sanz E, Nestor CC, Barker FD, Quintana A, Zweifel LS, Rønnekleiv OK, Kelly MJ, Palmiter RD (2016) Agouti-related peptide neural circuits mediate adaptive behaviors in the starved state. Nat Neurosci 19:734–741. 10.1038/nn.4274 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Padilla SL, Qiu J, Nestor CC, Zhang C, Smith AW, Whiddon BB, Rønnekleiv OK, Kelly MJ, Palmiter RD (2017) AgRP to Kiss1 neuron signaling links nutritional state and fertility. Proc Natl Acad Sci U S A 114:2413–2418. 10.1073/pnas.1621065114 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Palou M, Sánchez J, Rodríguez AM, Priego T, Picó C, Palou A (2009) Induction of NPY/AgRP orexigenic peptide expression in rat hypothalamus is an early event in fasting: relationship with circulating leptin, insulin and glucose. Cell Physiol Biochem 23:115–124. 10.1159/000204100 [DOI] [PubMed] [Google Scholar]
- Petreanu L, Huber D, Sobczyk A, Svoboda K (2007) Channelrhodopsin-2-assisted circuit mapping of long-range callosal projections. Nat Neurosci 10:663–668. 10.1038/nn1891 [DOI] [PubMed] [Google Scholar]
- Pfeffer CK, Xue M, He M, Huang ZJ, Scanziani M (2013) Inhibition of inhibition in visual cortex: the logic of connections between molecularly distinct interneurons. Nat Neurosci 16:1068–1076. 10.1038/nn.3446 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pinto S, Roseberry AG, Liu H, Diano S, Shanabrough M, Cai X, Friedman JM, Horvath TL (2004) Rapid rewiring of arcuate nucleus feeding circuits by leptin. Science 304:110–115. 10.1126/science.1089459 [DOI] [PubMed] [Google Scholar]
- Scott N, Prigge M, Yizhar O, Kimchi T (2015) A sexually dimorphic hypothalamic circuit controls maternal care and oxytocin secretion. Nature 525:519–522. 10.1038/nature15378 [DOI] [PubMed] [Google Scholar]
- Sternson SM, Eiselt AK (2017) Three pillars for the neural control of appetite. Annu Rev Physiol 79:401–423. 10.1146/annurev-physiol-021115-104948 [DOI] [PubMed] [Google Scholar]
- Su Z, Alhadeff AL, Betley JN (2017) Nutritive, post-ingestive signals are the primary regulators of AgRP neuron activity. Cell Rep 21:2724–2736. 10.1016/j.celrep.2017.11.036 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tan CL, Cooke EK, Leib DE, Lin YC, Daly GE, Zimmerman CA, Knight ZA (2016) Warm-sensitive neurons that control body temperature. Cell 167:47–59.e15. 10.1016/j.cell.2016.08.028 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tsuneoka Y, Maruyama T, Yoshida S, Nishimori K, Kato T, Numan M, Kuroda KO (2013) Functional, anatomical, and neurochemical differentiation of medial preoptic area subregions in relation to maternal behavior in the mouse. J Comp Neurol 521:1633–1663. 10.1002/cne.23251 [DOI] [PubMed] [Google Scholar]
- Tsuneoka Y, Yoshida S, Takase K, Oda S, Kuroda M, Funato H (2017) Neurotransmitters and neuropeptides in gonadal steroid receptor-expressing cells in medial preoptic area subregions of the male mouse. Sci Rep 7:9809. 10.1038/s41598-017-10213-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Valtorta F, Pennuto M, Bonanomi D, Benfenati F (2004) Synaptophysin: leading actor or walk-on role in synaptic vesicle exocytosis? Bioessays 26:445–453. 10.1002/bies.20012 [DOI] [PubMed] [Google Scholar]
- Varela L, Horvath TL (2012) Leptin and insulin pathways in POMC and AgRP neurons that modulate energy balance and glucose homeostasis. EMBO Rep 13:1079–1086. 10.1038/embor.2012.174 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wei YC, Wang SR, Jiao ZL, Zhang W, Lin JK, Li XY, Li SS, Zhang X, Xu XH (2018) Medial preoptic area in mice is capable of mediating sexually dimorphic behaviors regardless of gender. Nat Commun 9:279. 10.1038/s41467-017-02648-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wu Q, Boyle MP, Palmiter RD (2009) Loss of GABAergic signaling by AgRP neurons to the parabrachial nucleus leads to starvation. Cell 137:1225–1234. 10.1016/j.cell.2009.04.022 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wu Q, Clark MS, Palmiter RD (2012) Deciphering a neuronal circuit that mediates appetite. Nature 483:594–597. 10.1038/nature10899 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wu Z, Autry AE, Bergan JF, Watabe-Uchida M, Dulac CG (2014) Galanin neurons in the medial preoptic area govern parental behaviour. Nature 509:325–330. 10.1038/nature13307 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Xu W, Südhof TC (2013) A neural circuit for memory specificity and generalization. Science 339:1290–1295. 10.1126/science.1229534 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Xu X, Coats JK, Yang CF, Wang A, Ahmed OM, Alvarado M, Izumi T, Shah NM (2012) Modular genetic control of sexually dimorphic behaviors. Cell 148:596–607. 10.1016/j.cell.2011.12.018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yang CF, Shah NM (2014) Representing sex in the brain, one module at a time. Neuron 82:261–278. 10.1016/j.neuron.2014.03.029 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zha X, Xu X (2015) Dissecting the hypothalamic pathways that underlie innate behaviors. Neurosci Bull 31:629–648. 10.1007/s12264-015-1564-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhao ZD, Yang WZ, Gao C, Fu X, Zhang W, Zhou Q, Chen W, Ni X, Lin JK, Yang J, Xu XH, Shen WL (2017) A hypothalamic circuit that controls body temperature. Proc Natl Acad Sci U S A 114:2042–2047. 10.1073/pnas.1616255114 [DOI] [PMC free article] [PubMed] [Google Scholar]