Skip to main content

Thank you for visiting You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Agrp neuron activity is required for alcohol-induced overeating

A Corrigendum to this article was published on 19 May 2017

This article has been updated


Alcohol intake associates with overeating in humans. This overeating is a clinical concern, but its causes are puzzling, because alcohol (ethanol) is a calorie-dense nutrient, and calorie intake usually suppresses brain appetite signals. The biological factors necessary for ethanol-induced overeating remain unclear, and societal causes have been proposed. Here we show that core elements of the brain’s feeding circuits—the hypothalamic Agrp neurons that are normally activated by starvation and evoke intense hunger—display electrical and biochemical hyperactivity on exposure to dietary doses of ethanol in brain slices. Furthermore, by circuit-specific chemogenetic interference in vivo, we find that the Agrp cell activity is essential for ethanol-induced overeating in the absence of societal factors, in single-housed mice. These data reveal how a widely consumed nutrient can paradoxically sustain brain starvation signals, and identify a biological factor required for appetite evoked by alcohol.


Drinking an apéritif to stimulate appetite has been mentioned as a human practice since at least the 5th century AD1. Modern studies confirm that alcohol intake acutely stimulates eating, and correlates with obesity2,3,4,5,6. Due to the rising incidence of obesity and its co-morbidities, the link between alcohol intake and overeating is becoming a recognized clinical concern2,3,4. Popular explanations for alcohol-induced overeating include an alcohol-induced loss of self-control, leading to a disregard for societal constraints on eating4,6,7. Biological factors required for alcohol-induced overeating remain elusive2,3,4. In homoeostatic models of eating control, the brain’s appetite-stimulating signals are negatively regulated by nutrients8,9,10,11. An essential eating-stimulating signal is provided by Agrp neurons, a starvation-activated, molecularly distinct hypothalamic cell type12,13. The Agrp cells are found in mice and humans, and their chemogenetic or optogenetic stimulation is sufficient to cause rapid overeating, even in the absence of energy shortage14,15,16,17. Such eating despite energy sufficiency resembles the nutritionally paradoxical nature of alcohol-induced overeating. Although ethanol (EtOH, the active ingredient in alcoholic beverages) is the second most calorie-dense nutrient after fat, it stimulates rather than inhibits eating2,3,4. This suggests that EtOH creates a hunger state, but does not resolve whether EtOH highjacks normal homoeostatic signals of starvation, or evokes a different (for example, hedonic) hunger. Causal links between EtOH-induced overeating and brain hunger signals remain elusive. Establishing such a link would require a demonstration that EtOH-induced overeating is prevented by a selective interference with a molecularly defined hunger pathway.

Most molecular pathways associated with human obesity reside in the brain18, and are conserved in lower animals. Therefore, we hypothesized that EtOH may stimulate eating across species by distorting brain hunger signals. Here we probed this by: (1) determining EtOH impact on natural eating of animals isolated from social pressures, (2) examining EtOH action on genetically defined hunger signals and (3) establishing causality between specific hunger signals and EtOH-induced overeating. We present results suggesting that, in mice, EtOH sustains the activity of eating-stimulating hypothalamic Agrp cells, and Agrp cell activity is required for eating stimulation by EtOH.


Effect of EtOH on food intake in mice

First, to test if EtOH-induced overeating occurs in non-human mammals, we examined the effects of EtOH on food intake of mice. We used single-housed mice to minimize social confounders, male and female mice to examine gender differences, and intraperitoneal (i.p.) administration of EtOH for precise dosage and to remove taste confounders. In an ‘alcoholic weekend’ experiment, each animal was given EtOH for three days, and saline for 3 days before and after (see Methods for consideration of EtOH dosage). The food intake was significantly and reversibly increased on the EtOH days, and the magnitude of this increase was similar in males and females (Fig. 1a,b; statistics are given in the figure legends). The effect of EtOH on food intake was also apparent at finer (hourly) time points (Fig. 1c; Supplementary Fig. 2). These data suggest that alcohol-induced overeating is an evolutionarily conserved biological phenomenon occurring across mammals, irrespective of aesthetic beliefs and social conditioning.

Figure 1: Effect of EtOH on feeding in mice.
figure 1

(a) Effect of EtOH on daily food intake (one 2 g kg−1 i.p. EtOH injection per day for 3 days; see Methods). Values are averages per mouse per day. Pre=3 days before EtOH, post=3 days after ethanol (mice i.p. injected with saline on non-EtOH days). One-way repeated measures analysis of variance: males, treatment F(2, 10)=21.82, P=0.0002, n=6 mice; females, treatment F(2, 6)=7.628, P=0.0225, n=4 mice. Numbers between bars are P values from Tuckey’s multiple comparison corrections. Bars and error brackets are means±s.e.m. (b) EtOH-induced food intake in males versus females from experiment in A. Two-tailed unpaired t-test, t=0.7286, d.f.=8, P value indicated between bars. Numbers above bars are P values from one-sample t-tests: males, t=3.3672, d.f.=5; females, t=3.5242, d.f.=3. Bars and error brackets are means±s.e.m. (c) Food intake induced by EtOH injection (arrowed, 2 g kg−1), shown at hourly time points (n=4 male mice, ‘food intake increase’ was calculated by subtracting food intake after saline injection from food intake after EtOH injection, for each mouse and time point). Values are means±s.e.m.

Effect of EtOH on hypothalamic Agrp cells

Second, we sought to establish whether EtOH rapidly modulates endogenous hunger signals. To test if Agrp cell activity is modulated by EtOH, we injected a Cre-inducible ultrasensitive calcium activity reporter GCaMP6s (ref. 19) into the hypothalamic arcuate nucleus of Agrp-Cre mice (Fig. 2a; Methods). Subsequent imaging of the Agrp-GCaMP6s network in brains slices revealed rapid, dose-dependent and reversible EtOH-induced activation of Agrp neurons (Fig. 2b,c). After i.p. injection of EtOH concentrations similar to those used in our in vivo experiments, deep brain EtOH concentrations have been measured to reach 30–80 mM in rodents20,21,22,23 (see ‘Ethanol dosage’ in Methods for further discussion). We found that such EtOH concentrations produced similar Agrp cell activation (≈40% cytosolic calcium elevation, Fig. 2c) to that caused by fasting or physiological hunger hormones24.

Figure 2: Effects of EtOH on cytosolic biochemical signals of Agrp neurons.
figure 2

(a) Left, targeting scheme for the GCaMP6s. Centre, localization of GCaMP6s. 3V, third ventricle; Arc, arcuate nucleus; D, dorsal; L, lateral; LH, lateral hypothalamus; M, medial; VMH, ventromedial hypothalamus, V, ventral. Scale bar, 500 μm. Right, GCaMP6s in Agrp cells at higher zoom. Representative example from 10 brains. Scale bar, 30 μm. (b) GCaMP6s response of Agrp cells (n=17) to EtOH (top), corresponding means±s.e.m. (bottom). (c) Relation between EtOH concentration and peak GCaMP6s response of Agrp cells (from experiments such as shown in b), n=12–17 cells for each concentration. One-sample t-tests: 1 mM, t=9.727, d.f.=16; 50 mM, t=8.794, d.f.=11; 100 mM, t=12.64, d.f.=15; ***P<0.0001.

The calcium liberation implies activation of biochemical cascades in neurons25, but does not directly prove that the electrical spiking of Agrp neurons, the signal driving eating16, is increased. Thus, we also examined the electrical activity and membrane currents of Agrp cells in brain slices. In cell-attached electrical recordings (Methods), EtOH acutely and reversibly accelerated Agrp cell spiking (Fig. 3a). Similar effects were seen in whole-cell membrane potential recordings under pharmacological synaptic isolation (Fig. 3b,c), consistent with a direct postsynaptic action of EtOH. In contrast, non-Agrp arcuate neurons (that is, putative satiety cells16) were not excited by EtOH (Supplementary Fig. 1A). While this suggests a degree of cell-type selectivity of EtOH actions in the arcuate, we note that the unidirectional inhibition of satiety cells by hunger cells26,27 implies that such selectivity may not be critical for increasing eating (Discussion).

Figure 3: Effects of EtOH on membrane electrical properties of Agrp neurons.
figure 3

(a) Effect of 50 mM EtOH on spike rate in cell-attached recordings. Representative example of six cells. Firing before EtOH=1.85±0.35 Hz, after=3.72±0.52 Hz, paired t-test: t=4.613, d.f.=5, P=0.0058. (b) Effect of 50 mM EtOH on membrane potential, under synaptic blockade with of 10 μM CNQX and 50 μM PTX. Representative example of eight cells, spikes are truncated at +20 mV. Firing before EtOH 1.07±0.22 Hz, after=7.18±1.58 Hz, paired t-test: t=3.757, d.f.=7, P=0.0071. (c) Effect of 50 mM of EtOH on membrane potential in whole-cell recordings, under synaptic blockade with 1 μM TTX. Top, membrane potential response; Bottom, responses to hyperpolarizing current injections (resting potentials artificially aligned to dotted line to facilitate comparison). Representative example of eight cells. Mean depolarization was 9.38±0.82 mV, one-sample t-test: t=11.4, d.f.=7, P<0.0001. (d) Effect of 50 mM EtOH on whole-cell current–voltage relation. Left, membrane voltage ramps (representative example of 5 cells). Right, net EtOH-induced current (means±s.e.m., n=5 cells). (e) Effect of 50 mM EtOH on membrane potential (left, spikes are truncated at 0 mV), and net EtOH-induced current (right), in the presence of 10 mM intracellular BAPTA. Representative examples of nine cells. Firing before EtOH=0.96±0.21 Hz, after=0.92±0.20 Hz, paired t-test: t=1.110, d.f.=8, P=0.2994. (f) Effect of 50 mM EtOH on membrane potential (left, spikes are truncated at 0 mV), and net EtOH-induced current (right), in the presence of 70 μM KB-R7943. Representative example of n=8 cells. Firing before EtOH=0.64±0.19 Hz, after=0.62±0.17 Hz, paired t-test: t=0.4760, d.f.=7, P=0.6485.

We next addressed mechanisms of the EtOH-induced excitation. Membrane potential recordings revealed that EtOH-induced excitation involves membrane depolarization and increased conductance (Fig. 3b,c). Whole-cell current–voltage relations further showed that this conductance increase is due to an EtOH-activated non-selective ionic current (Fig. 3d, equilibrium potential=−32±3.1 mV; n=7 cells). Buffering cytosolic Ca2+ increases by 10 mM BAPTA in the pipette solution abolished EtOH-induced excitatory actions (Fig. 3e), suggesting that a rise in cytosolic calcium is required for EtOH action. Cytosolic calcium elevations can activate plasmalemmal 3Na+/Ca2+ exchanger (NCX), which can trigger membrane depolarization and excitation due to NCX electrogenicity28,29,30,31,32. Thus, we tested whether EtOH-induced excitation of Agrp neurons requires this transporter. Bath application of the selective NCX inhibitor KB-R7943 (refs 31, 33) prevented EtOH-induced excitation (Fig. 3f). Together, these data suggest that EtOH-induced excitation of Agrp cell membrane is mediated by cytosolic calcium signals and plasmalemmal NCX activity. Overall, these data demonstrate that EtOH evokes a functional remodelling in the brain’s biophysical generators of hunger drive, thereby sustaining false ‘starvation alarms’ despite extracellular nutrient sufficiency.

Effect of Agrp cell silencing on EtOH-induced eating

Third, to investigate whether Agrp cell activity is required for EtOH-induced overeating, we targeted Cre-dependent neuroinhibitory receptor hM4Di, or control protein ChR2-mCherry, to Agrp neurons in Agrp-Cre mice (Fig. 4a; Supplementary Fig. 1B). This made it possible to block Agrp-hM4Di neuron spiking by the physiologically inert hM4Di receptor ligand CNO (Fig. 4b,c). The CNO concentrations we used did not affect spiking of Agrp-ChR2 neurons (Supplementary Fig. 1B), nor eating in mice not expressing hM4Di (Supplementary Fig. 1C,D), confirming that CNO did not modulate the parameters under study without hM4Di. In the absence of CNO, EtOH increased food intake in mice with Agrp-hM4Di or Agrp-ChR2 neurons, (Fig. 4d), confirming that transgene expression per se does not prevent ethanol-associated eating. We then gave all mice CNO, to suppress Agrp neurons of Agrp-hM4Di mice. Under this condition, eating of Agrp-hM4Di mice is reduced (Fig. 4d), as previously reported17, but—importantly—despite this lower baseline, eating stimulation remains possible by eating-control neurons downstream of Agrp34. However, despite this existence of neurons that can increase eating in the absence of Agrp34,35, we found that in the presence of CNO, EtOH no longer stimulated food intake of Agrp-hM4Di mice (but stimulated it normally in control Agrp-ChR2 mice, Fig. 4d, left plot). While these findings do not preclude EtOH actions on targets other than Agrp, they do imply that such actions are insufficient to cause eating without Agrp cell activity.

Figure 4: EtOH-induced overeating requires Agrp neuron activity.
figure 4

(a) Left, targeting scheme for hM4Di-mCherry. Right, localization of hM4Di-mCherry. 3V, third ventricle; Arc, arcuate nucleus; D, dorsal; L, lateral; LH, lateral hypothalamus; M, medial; V: ventral. Inset, hM4Di-mCherry in Agrp cells at higher zoom. Scale bar, 500 μm. Representative example from four brains. (b) Effect of 5μM CNO on Agrp-hM4Di cell firing. Representative example of five cells. (c) Left, group data of membrane potential effect in experiment shown in b (n=5 cells). P value is from a paired t-test, t=6.689, d.f.=4. Right, Spike firing responses in experiment shown in b for all cells. (d) Left, effects of EtOH (2 g kg−1 i.p.) and CNO (5 mg kg−1 i.p.) on food intake of Agrp-Cre mice expressing hM4Di or ChR2 in Agrp cells. Food intake under each drug condition represents a mean of 3 days of drug treatment (same design as in Fig. 1a). Four male mice per group (age/gender-matched littermate pairs). Two-way repeated measures analysis of variance: treatment F(3, 18)=129.9, P<0.0001; genotype F(1, 6)=45.44, P=0.0005; interaction F(3, 18)=53.28, P<0.0001; numbers between bars are P values from Tuckey’s multiple comparison corrections. Right, Agrp cell-driven food intake (defined as reduction in food intake evoked by CNO in Agrp-hM4Di mice) in the presence and absence of EtOH (n=8 mice). Number above bars is P value from a two-tailed paired t-test, t=5.055, d.f.=7. Values shown are individual points and/or means±s.e.m.

Finally, we analysed whether EtOH controls the contribution of the natural activity of Agrp cells to eating in vivo. We hypothesized that if EtOH-activated Agrp neurons in vivo (as predicted by in vitro data, Figs 2 and 3), then EtOH should increase Agrp cell-dependent eating. Because CNO silences Agrp-hM4Di cells (Fig. 4b,c), the magnitude of the CNO effect on eating in Agrp-hM4Di mice reflects Agrp cell-mediated eating, that is, in vivo Agrp cell activity (if Agrp cell activity is low, its silencing will have a small effect on eating, and if Agrp cell activity is high, its silencing would have a large effect). We found that the effects of CNO on eating in Agrp-hM4Di mice were significantly greater in the presence of EtOH (Fig. 4d, right plot), consistent with the idea that EtOH increases Agrp cell contribution to eating in vivo (Discussion).

Together, these data identify Agrp cell activity as a critical process required for the EtOH action on food intake.


Agrp cell activity potently increases motivation for feeding, and has been called a neural correlate of hunger17. Thus our data suggests that alcohol sustains fundamental appetite signals, not just disinhibits their behavioural manifestation. Apart from the Agrp cells, other powerful controllers of food intake exist in the brain, for example, MC4R neurons of the paraventricular hypothalamus36, Vgat neurons of the lateral hypothalamus37 and neurons of the parabrachial nucleus34. Crucially, the control of feeding by some of these modules does not require Agrp neurons35. Therefore, alcohol actions on the latter non-Agrp eating controllers would be expected to alter eating even when Agrp cells are silenced. However, we found that when Agrp cells were chemogenetically silenced, alcohol no loger modulated food intake. Thus, we propose that the alcohol-associated activity of Agrp neurons—mediated either by direct alcohol actions described here, or via a still-unknown upstream element—is the critical step in alcohol-induced overeating.

There are previous reports of ethanol actions on diverse cellular targets, including eating-regulating systems such as midbrain dopamine neurons, and on diverse and ubiquitously expressed molecular targets, such as neuronal GABA and NMDA receptors38,39,40,41,42. We believe that these previous reports are compatible with our findings and conclusions. First, our finding that the Agrp cells are an essential locus of alcohol-induced eating does rule out that there are other sites in the brain, where alcohol can plausibly influence eating. Second, similar to previous studies of other neurons, we found that ethanol acts on Agrp neurons by modulating fairly ubiquitous molecular operators (calcium and NCX), rather than a process that is unique to Agrp cells. We propose that this lack of specificity at the cellular and molecular levels is compatible with a specific action at the whole-system level, due to the non-random, directed interactions between different neuronal controllers of behaviour43. Non-random neuronal connectivity has been reported throughout the brain43, including appetite systems (for example, Agrp cells inhibit POMC cells but not vice versa27). Such a unidirectional network connectivity would ‘filter’ non-selective actions at the cellular/molecular levels (for example, direct ethanol-induced excitation of both hunger and satiety cells) into a behaviour-selective action (that is, eating versus non-eating) at the system output level. Testing this proposal by developing tools for disrupting directed connectivity, in conjunction with cell-type specific in vivo recordings, is an interesting direction for future work, especially considering that Agrp neurons can be modulated differently in vitro and in vivo.

Overall, our findings provide an explanation for how a commonly consumed nutrient may generate a positive feedback on energy intake, offering new mechanistic and conceptual insights into pathological overeating behaviour linked to morbid disorders.


Animals and feeding studies

All animal procedures followed United Kingdom regulations (Animals, Scientific Procedures Act 1986) and were approved by local welfare committees and veterinarians. Adult (10–12-week old) male and female mice on the C57/BL6 background were used for all experiments.

For experiments involving transgene expression in Agrp neurons, we used, where indicated, two previously described and characterized transgenic mouse lines: Agrp-IRES-Cre (Jax no. 012899 (ref. 44)) and NPY-hrGFP (Jax no. 006417 (ref. 45)). Mice were kept on a standard 12 h light–dark cycle (lights on at 7:00), and on standard mouse chow (LabDiet 5021) and water ad libitum. Room temperature was kept at 22 °C. During food intake measurements, the chow was provided in ‘anti-spill’ cylindrical hoppers (TSE Systems). In Fig. 1a,b,d, measurements were performed in home cages by lowering the hoppers onto cage floor through a modified cage lid, and food intake was measured daily by manual weighing of the hoppers. In Fig. 1c, food was weighed automatically in suspended-hopper cages (TSE PhenoMaster) equipped with custom-elevated floors (with openings to maintain hopper suspension) that brought food closer to the floor to facilitate access despite potential ethanol-induced motor incoordination46. When placed in unfamiliar cages, mice were allowed to acclimatize for at least one week before measurements.

Drugs (EtOH 2 g kg−1, CNO 5 mg kg−1) were sterile-filtered and injected i.p. at 12.65 μl g−1 total volume (0.9% NaCl saline was used as vehicle). Control i.p. injections contained saline only (12.65 μl g−1). Mice were injected at 19:00 (the beginning of the dark phase) and subsequent eating was measured by weighing the food consumed at different times after injection. In an alternative experimental design (which produced similar data to the main findings), mice received a single 1 g kg−1 EtOH i.p. injection at 16:00 and food intake was monitored using standard TSE Phenomaster cages (Supplementary Fig. 2).

Ethanol dosage

For in vivo experiments, we used EtOH doses of 2 g kg−1 in Figs 1 and 4, and 1 g kg−1 in Supplementary Fig. 2; for in vitro experiments, we used 10–100 mM EtOH. These doses were based on the following considerations. First, the i.p. EtOH doses we used are compatible with studies of mouse behaviour47, and have been reported to elevate deep brain EtOH concentrations to 20–80 mM in rodents in vivo20,21,22,23, which we here mimicked in brain slices. We confirmed these reports of deep brain ethanol elevations using a custom EtOH sensor in the arcuate nucleus (Supplementary Fig. 3).

Second, these doses resemble those relevant for humans (after correcting for body weight). Specifically, these doses would approximately represent the amounts reported to be consumed by 27% of young UK people at least once per week (>18 units alcohol, according to a UK government survey for 2012: Assuming that 1 alcohol unit contains 8 g EtOH, the 18 units consumed by a 70 kg human equates to an ethanol dose of 2.06 g kg−1. The blood EtOH concentration of a 70 kg human male was estimated (Widmark formula) to be 50 mM after consuming the 18 units of alcohol. Since EtOH readily crosses membranes and rapidly equilibrates across the blood–brain barrier, similar EtOH concentrations occur in the blood and the brain, and in different brain regions20,23.

Network activity imaging

For calcium imaging of Agrp cell activity, AAVs carrying Cre-dependent GCamp6s (rAAV9.CAG.Flex.GCaMP6s.WPRE.SV40; titre 2.74 × 1013 gc ml−1, Penn Vector Core) were stereotaxically injected into the arcuate nucleus of the Agrp-Cre mice. Two 100 nl injections of the GCaMP6s virus were made at: −1.4 mm from Bregma; ±0.3 mm from midline; and −5.80 and −5.70 mm from skull surface. Cre dependency of viral expression was confirmed by injections of the Cre-dependent AAV into the brains of Cre-negative mice (n=3 mice). Acute coronal brain slices were prepared 10–14 days after AAV injection, and confocal imaging and analysis of GCaMP6s signals was performed as previously described48.

Single-neuron electrophysiology

Acute coronal brain slices were prepared and cell-attached and whole-cell recordings performed as previously described49. Briefly, fluorescent neurons were visualized an upright Olympus BX51WI microscope equipped with an oblique condenser, a xenon lamp and appropriate filter sets. Somatic recordings were carried out at 37 °C using a HEKA EPC 10 USB patch-clamp amplifier controlled by Patchmaster software (HEKA Elektronik, Germany), after slices were allowed to equilibrate in the recording chamber for 10–15 min. Arcuate Agrp neurons were identified for slice electrical recordings using either Cre-dependent fluorescent transgenes in Agrp-Cre mice (hD4Di-mCherry, ChR2-mCherry); or NPY-hrGFP mice since all NPY expression in arcuate neurons co-localizes with Agrp50.


To target the CNO-activated inhibitory receptor hM4Di to Agrp cells17,51, Cre-dependent AAV (rAAV8/hSyn-DIO-hM4D(Gi)-mCherry; titre 5.30 × 1012 gc ml−1, Penn Vector Core) was stereotaxically injected into the arcuate hypothalamus of the Agrp-Cre transgenic mice. Two 100 nl injections of rAAV8/hSyn-DIO-hm4(Gi)-mCherry or a control Cre-dependent protein (AAV2/EF1a-DIO-ChR2(E123T/T159C)-mCherry, 7.3 × 1012 gc ml−1, UNC Vector Core) were made at: −1.4 mm from bregma; ±0.3 mm from midline; and −5.80 and −5.70 mm from skull surface. Agrp-Cre mice were first injected with saline during the first 3 days (12.65 μl g−1 body weight, i.p.) at dark onset. They were then supplied with a single dose of CNO (5 mg kg−1 body weight in saline i.p.) at dark onset during the next 3 days.

Drugs and solutions

EtOH (absolute analytical reagent grade) was from Fisher Scientific. CNO and KB-R7943 were from Tocris Bioscience. For synaptic isolation, we used CNQX 10 μM, TTX 1μM, and D-AP5 50 μM (Sigma Aldrich UK) and PTX 50 μM (Tocris Bioscience). All other drugs were from Sigma. Artificial cerebrospinal fluid was gassed continuously with 95% O2, 5% CO2 and contained the following (in mM) 125 NaCl, 2.5 KCl, 1 MgCl2, 2 CaCl2, 1.2 NaH2PO4, 21 NaHCO3, 1 D-(+)-glucose. For whole-cell recordings, patch-clamp pipettes were filled with intracellular solution containing the following (in mM): 120 K-Gluc, 10 KCl, 10 HEPES, 0.1 EGTA, 4 K2ATP, 2 Na2ATP, 0.3 Na2GTP, 2MgCl2, pH 7.3 with KOH.

In Fig. 3, KB-R7943 was applied extracellularly and 10 mM BAPTA was applied intracellularly, as in ref. 32.


To confirm hM4Di-mCherry transgene targeting to the arcuate nucleus, mice were perfused with 4% paraformaldehyde, and dissected brains were cryoprotected in 30% sucrose solution for a minimum of 48 h. Free floating cryosections (50 μM) of the arcuate nucleus and cell nuclei were counterstained with Hoescht.

Statistical analyses

Statistical tests and descriptive statistics were performed as described in the figure legends. In general, we found that 20–30% of Agrp neurons did not respond to EtOH application in our in vitro preparation (for example, see Fig. 2b); these non-responding cells were included in group analysis of calcium responses to assess net effect of EtOH on all Agrp neurons (Fig. 2c), but excluded from group quantification of electrical responses to measure EtOH response size at the level of individual cells (Fig. 3a–d). In parametric tests, normality was assessed with Shapiro–Wilk, Lilliefors, Anderson–Darling and Kolmogorov-Smirnov (KS) tests, and variances were assessed for homogeneity using Levene’s, Brown–Forsyth and F-tests. The analysis was performed using Origin 2015 (OriginLab) or GraphPad Prism 6.

Data availability

The data that support the findings of this study are available from the authors on reasonable request.

Additional information

How to cite this article: Cains, S. et al. Agrp neuron activity is required for alcohol-induced overeating. Nat. Commun. 8, 14014 doi: 10.1038/ncomms14014 (2017).

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Change history

  • 19 May 2017

    The original version of this Article contained an error in the email address of the corresponding author Sarah Cains. The correct email is The error has been corrected in the HTML and PDF versions of the Article.


  1. St Diadochos of Photiki. in The Philokalia. Volume 1 (Faber and Faber, New York (1979).

  2. Yeomans, M. R. Alcohol, appetite and energy balance: is alcohol intake a risk factor for obesity? Physiol. Behav. 100, 82–89 (2010).

    CAS  Article  Google Scholar 

  3. Gatineau, M. & Mathrani, S. Obesity and alcohol: an overview. Available at (Public Health England, National Obesity Observatory (NOO), 2012).

  4. International Aliance for Responsible Drinking (IARD) Health Review: Drinking and Obesity, 2016. Available at

  5. Eiler, W. J. 2nd et al. The aperitif effect: alcohol's effects on the brain's response to food aromas in women. Obesity 23, 1386–1393 (2015).

    CAS  Article  Google Scholar 

  6. Caton, S. J., Nolan, L. J. & Hetherington, M. M. Alcohol, appetite and loss of restraint. Curr. Obes. Rep. 4, 99–105 (2015).

    Article  Google Scholar 

  7. Stevens, P. Binge drinking ‘link to overeating’, BBC News - Health. (24 April 2014).

  8. Saper, C. B., Chou, T. C. & Elmquist, J. K. The need to feed: homeostatic and hedonic control of eating. Neuron 36, 199–211 (2002).

    CAS  Article  Google Scholar 

  9. Parton, L. E. et al. Glucose sensing by POMC neurons regulates glucose homeostasis and is impaired in obesity. Nature 449, 228–232 (2007).

    ADS  CAS  Article  Google Scholar 

  10. Claret, M. et al. AMPK is essential for energy homeostasis regulation and glucose sensing by POMC and AgRP neurons. J. Clin. Invest. 117, 2325–2336 (2007).

    CAS  Article  Google Scholar 

  11. Chen, Y. & Knight, Z. A. Making sense of the sensory regulation of hunger neurons. BioEssays 38, 316–324 (2016).

    Article  Google Scholar 

  12. Luquet, S., Perez, F. A., Hnasko, T. S. & Palmiter, R. D. NPY/AgRP neurons are essential for feeding in adult mice but can be ablated in neonates. Science 310, 683–685 (2005).

    ADS  CAS  Article  Google Scholar 

  13. Gropp, E. et al. Agouti-related peptide-expressing neurons are mandatory for feeding. Nat. Neurosci. 8, 1289–1291 (2005).

    CAS  Article  Google Scholar 

  14. Elias, C. F. et al. Chemically defined projections linking the mediobasal hypothalamus and the lateral hypothalamic area. J. Comp. Neurol. 402, 442–459 (1998).

    CAS  Article  Google Scholar 

  15. Goldstone, A. P., Unmehopa, U. A., Bloom, S. R. & Swaab, D. F. Hypothalamic NPY and agouti-related protein are increased in human illness but not in Prader-Willi syndrome and other obese subjects. J. Clin. Endocrinol. Metab. 87, 927–937 (2002).

    CAS  Article  Google Scholar 

  16. Aponte, Y., Atasoy, D. & Sternson, S. M. AGRP neurons are sufficient to orchestrate feeding behavior rapidly and without training. Nat. Neurosci. 14, 351–355 (2011).

    CAS  Article  Google Scholar 

  17. Krashes, M. J. et al. Rapid, reversible activation of AgRP neurons drives feeding behavior in mice. J. Clin. Invest. 121, 1424–1428 (2011).

    CAS  Article  Google Scholar 

  18. Locke, A. E. et al. Genetic studies of body mass index yield new insights for obesity biology. Nature 518, 197–206 (2015).

    CAS  Article  Google Scholar 

  19. Chen, T. W. et al. Ultrasensitive fluorescent proteins for imaging neuronal activity. Nature 499, 295–300 (2013).

    ADS  CAS  Article  Google Scholar 

  20. Ferraro, T. N., Weyers, P., Carrozza, D. P. & Vogel, W. H. Continuous monitoring of brain ethanol levels by intracerebral microdialysis. Alcohol. 7, 129–132 (1990).

    CAS  Article  Google Scholar 

  21. Nurmi, M., Kiianmaa, K. & Sinclair, J. D. Brain ethanol in AA, ANA, and Wistar rats monitored with one-minute microdialysis. Alcohol. 11, 315–321 (1994).

    CAS  Article  Google Scholar 

  22. Yoshimoto, K. & Komura, S. Monitoring of ethanol levels in the rat nucleus accumbens by brain microdialysis. Alcohol Alcohol. 28, 171–174 (1993).

    CAS  PubMed  Google Scholar 

  23. Smolen, T. N. & Smolen, A. Blood and brain ethanol concentrations during absorption and distribution in long-sleep and short-sleep mice. Alcohol. 6, 33–38 (1989).

    CAS  Article  Google Scholar 

  24. Betley, J. N. et al. Neurons for hunger and thirst transmit a negative-valence teaching signal. Nature 521, 180–185 (2015).

    ADS  CAS  Article  Google Scholar 

  25. Berridge, M. J. Neuronal calcium signaling. Neuron 21, 13–26 (1998).

    CAS  Article  Google Scholar 

  26. Roseberry, A. G., Liu, H., Jackson, A. C., Cai, X. & Friedman, J. M. Neuropeptide Y-mediated inhibition of proopiomelanocortin neurons in the arcuate nucleus shows enhanced desensitization in ob/ob mice. Neuron 41, 711–722 (2004).

    CAS  Article  Google Scholar 

  27. Atasoy, D., Betley, J. N., Su, H. H. & Sternson, S. M. Deconstruction of a neural circuit for hunger. Nature 488, 172–177.

  28. Smith, B. N. & Armstrong, W. E. The ionic dependence of the histamine-induced depolarization of vasopressin neurones in the rat supraoptic nucleus. J. Physiol. 495, 465–478 (1996).

    CAS  Article  Google Scholar 

  29. Lee, K. & Boden, P. R. Characterization of the inward current induced by metabotropic glutamate receptor stimulation in rat ventromedial hypothalamic neurones. J. Physiol. 504, 649–663 (1997).

    CAS  Article  Google Scholar 

  30. Blaustein, M. P. & Lederer, W. J. Sodium/calcium exchange: its physiological implications. Physiol. Rev. 79, 763–854 (1999).

    CAS  Article  Google Scholar 

  31. Eriksson, K. S., Sergeeva, O., Brown, R. E. & Haas, H. L. Orexin/hypocretin excites the histaminergic neurons of the tuberomammillary nucleus. J. Neurosci. 21, 9273–9279 (2001).

    CAS  Article  Google Scholar 

  32. Burdakov, D., Liss, B. & Ashcroft, F. M. Orexin excites GABAergic neurons of the arcuate nucleus by activating the sodium--calcium exchanger. J. Neurosci. 23, 4951–4957 (2003).

    CAS  Article  Google Scholar 

  33. Iwamoto, T. & Shigekawa, M. Differential inhibition of Na+/Ca2+ exchanger isoforms by divalent cations and isothiourea derivative. Am. J. Physiol. 275, C423–C430 (1998).

    CAS  Article  Google Scholar 

  34. Wu, Q., Boyle, M. P. & Palmiter, R. D. Loss of GABAergic signaling AgRP neurons to the parabrachial nucleus leads to starvation. Cell 137, (2009).

  35. Wu, Q., Clark, M. S. & Palmiter, R. D. Deciphering a neuronal circuit that mediates appetite. Nature 483, 594–597 (2012).

    ADS  CAS  Article  Google Scholar 

  36. Garfield, A. S. et al. A neural basis for melanocortin-4 receptor-regulated appetite. Nat. Neurosci. 18, 863–871 (2015).

    CAS  Article  Google Scholar 

  37. Jennings, J. H. et al. Visualizing hypothalamic network dynamics for appetitive and consummatory behaviors. Cell 160, 516–527 (2015).

    CAS  Article  Google Scholar 

  38. Bloom, F. E. & Siggins, G. R. Electrophysiological action of ethanol at the cellular level. Alcohol 4, 331–337 (1987).

    CAS  Article  Google Scholar 

  39. Lovinger, D. M., White, G. & Weight, F. F. Ethanol inhibits NMDA-activated ion current in hippocampal neurons. Science 243, 1721–1724 (1989).

    ADS  CAS  Article  Google Scholar 

  40. Brodie, M. S., Pesold, C. & Appel, S. B. Ethanol directly excites dopaminergic ventral tegmental area reward neurons. Alcohol. Clin. Exp. Res. 23, 1848–1852 (1999).

    CAS  Article  Google Scholar 

  41. Volkow, N. D., Wang, G. J. & Baler, R. D. Reward, dopamine and the control of food intake: implications for obesity. Trends Cogn. Sci. 15, 37–46 (2011).

    CAS  Article  Google Scholar 

  42. Davies, M. The role of GABAA receptors in mediating the effects of alcohol in the central nervous system. J. Psychiatry Neurosci. 28, 263–274 (2003).

    PubMed  PubMed Central  Google Scholar 

  43. Sporns, O. The non-random brain: efficiency, economy, and complex dynamics. Front. Comput. Neurosci. 5, 5 (2011).

    Article  Google Scholar 

  44. Tong, Q., Ye, C. P., Jones, J. E., Elmquist, J. K. & Lowell, B. B. Synaptic release of GABA by AgRP neurons is required for normal regulation of energy balance. Nat. Neurosci. 11, 998–1000 (2008).

    CAS  Article  Google Scholar 

  45. van den Pol, A. N. et al. Neuromedin B and gastrin-releasing peptide excite arcuate nucleus neuropeptide Y neurons in a novel transgenic mouse expressing strong Renilla green fluorescent protein in NPY neurons. J. Neurosci. 29, 4622–4639 (2009).

    CAS  Article  Google Scholar 

  46. Dar, M. S. Modulation of ethanol-induced motor incoordination by mouse striatal A(1) adenosinergic receptor. Brain Res. Bull. 55, 513–520 (2001).

    CAS  Article  Google Scholar 

  47. Frye, G. D. & Breese, G. R. An evaluation of the locomotor stimulating action of ethanol in rats and mice. Psychopharmacology (Berl) 75, 372–379 (1981).

    CAS  Article  Google Scholar 

  48. Apergis-Schoute, J. et al. Optogenetic evidence for inhibitory signaling from orexin to MCH neurons via local microcircuits. J. Neurosci. 35, 5435–5441 (2015).

    CAS  Article  Google Scholar 

  49. Karnani, M. M. et al. Activation of central orexin/hypocretin neurons by dietary amino acids. Neuron 72, 616–629 (2011).

    CAS  Article  Google Scholar 

  50. Hahn, T. M., Breininger, J. F., Baskin, D. G. & Schwartz, M. W. Coexpression of Agrp and NPY in fasting-activated hypothalamic neurons. Nat. Neurosci. 1, 271–272 (1998).

    CAS  Article  Google Scholar 

  51. Armbruster, B. N., Li, X., Pausch, M. H., Herlitze, S. & Roth, B. L. Evolving the lock to fit the key to create a family of G protein-coupled receptors potently activated by an inert ligand. Proc. Natl Acad. Sci. USA 104, 5163–5168 (2007).

    ADS  Article  Google Scholar 

Download references


We thank Panagiota Iordanidou for assistance with histology and animal management, and Antonio González for assistance with automated metabolical cages. This work was supported by the Francis Crick Institute which receives its core funding from Cancer Research UK (FC001055), the UK Medical Research Council (FC001055), and the Wellcome Trust (FC001055).

Author information

Authors and Affiliations



C.B. and S.C. designed and performed the experiments and data analyses except those shown in Supplementary Fig. 3, M.K. and R.R. carried out the work shown in Supplementary Fig. 3, D.B. obtained funding and wrote the text.

Corresponding author

Correspondence to Sarah Cains.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Supplementary information

Supplementary Information

Supplementary Figures (PDF 1146 kb)

Rights and permissions

This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Cains, S., Blomeley, C., Kollo, M. et al. Agrp neuron activity is required for alcohol-induced overeating. Nat Commun 8, 14014 (2017).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:

Further reading


By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.


Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing