Abstract
Overconsumption of palatable food may initiate neuroadaptive responses in brain reward circuitry that may contribute to eating disorders. Here we report that high-fat diet (HFD) consumption impedes threat-cue-induced suppression of sucrose-seeking in mice. This compulsive sucrose-seeking was due to enhanced cue-triggered neuronal activity in the anterior paraventricular thalamus (aPVT) resulting from HFD-induced microglia activation. Thus, metabolic inflammation in the aPVT produces an adaptive response to threat cues, leading to compulsive food-seeking.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$209.00 per year
only $17.42 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
Code availability
No custom software code was used.
References
Small, D. M. & DiFeliceantonio, A. G. Processed foods and food reward. Science 363, 346–347 (2019).
Kolling, N., Behrens, T. E., Mars, R. B. & Rushworth, M. F. Neural mechanisms of foraging. Science 336, 95–98 (2012).
Pearson, J. M., Watson, K. K. & Platt, M. L. Decision making: the neuroethological turn. Neuron 82, 950–965 (2014).
Avena, N. M., Rada, P. & Hoebel, B. G. Sugar and fat bingeing have notable differences in addictive-like behavior. J. Nutr. 139, 623–628 (2009).
Kenny, P. J. Reward mechanisms in obesity: new insights and future directions. Neuron 69, 664–679 (2011).
Decarie-Spain, L. et al. Nucleus accumbens inflammation mediates anxiodepressive behavior and compulsive sucrose seeking elicited by saturated dietary fat. Mol. Metab. 10, 1–13 (2018).
Johnson, P. M. & Kenny, P. J. Dopamine D2 receptors in addiction-like reward dysfunction and compulsive eating in obese rats. Nat. Neurosci. 13, 635–641 (2010).
Nieh, E. H. et al. Decoding neural circuits that control compulsive sucrose seeking. Cell 160, 528–541 (2015).
Jean-Richard-Dit-Bressel, P., Tran, J., Didachos, A. & McNally, G. P. Instrumental aversion coding in the basolateral amygdala and its reversion by a benzodiazepine. Neuropsychopharmacology 47, 1199–1209 (2022).
Jean-Richard-Dit-Bressel, P., Ma, C., Bradfield, L. A., Killcross, S. & McNally, G. P. Punishment insensitivity emerges from impaired contingency detection, not aversion insensitivity or reward dominance. eLife 8, https://doi.org/10.7554/eLife.52765 (2019).
Cheng, J. et al. Anterior paraventricular thalamus to nucleus accumbens projection is involved in feeding behavior in a novel environment. Front. Mol. Neurosci. 11, 202 (2018).
Christoffel, D. J. et al. Input-specific modulation of murine nucleus accumbens differentially regulates hedonic feeding. Nat. Commun. 12, 2135 (2021).
Do-Monte, F. H., Minier-Toribio, A., Quinones-Laracuente, K., Medina-Colon, E. M. & Quirk, G. J. Thalamic regulation of sucrose seeking during unexpected reward omission. Neuron 94, 388–400 (2017).
Karmi, A. et al. Increased brain fatty acid uptake in metabolic syndrome. Diabetes 59, 2171–2177 (2010).
Cai, D. & Khor, S. ‘Hypothalamic microinflammation’ paradigm in aging and metabolic diseases. Cell Metab. 30, 19–35 (2019).
Do-Monte, F. H., Quinones-Laracuente, K. & Quirk, G. J. A temporal shift in the circuits mediating retrieval of fear memory. Nature 519, 460–463 (2015).
Zhu, Y. et al. Dynamic salience processing in paraventricular thalamus gates associative learning. Science 362, 423–429 (2018).
Choi, E. A., Jean-Richard-Dit-Bressel, P., Clifford, C. W. G. & McNally, G. P. Paraventricular thalamus controls behavior during motivational conflict. J. Neurosci. 39, 4945–4958 (2019).
Badimon, A. et al. Negative feedback control of neuronal activity by microglia. Nature 586, 417–423 (2020).
Labouebe, G., Boutrel, B., Tarussio, D. & Thorens, B. Glucose-responsive neurons of the paraventricular thalamus control sucrose-seeking behavior. Nat. Neurosci. 19, 999–1002 (2016).
Zhang, X. & van den Pol, A. N. Rapid binge-like eating and body weight gain driven by zona incerta GABA neuron activation. Science 356, 853–859 (2017).
Gao, C. et al. Two genetically, anatomically and functionally distinct cell types segregate across anteroposterior axis of paraventricular thalamus. Nat. Neurosci. 23, 217–228 (2020).
Elmore, M. R. et al. Colony-stimulating factor 1 receptor signaling is necessary for microglia viability, unmasking a microglia progenitor cell in the adult brain. Neuron 82, 380–397 (2014).
Kleinridders, A. et al. MyD88 signaling in the CNS is required for development of fatty acid-induced leptin resistance and diet-induced obesity. Cell Metab. 10, 249–259 (2009).
Stachniak, T. J., Ghosh, A. & Sternson, S. M. Chemogenetic synaptic silencing of neural circuits localizes a hypothalamus→midbrain pathway for feeding behavior. Neuron 82, 797–808 (2014).
Listenberger, L. L., Ory, D. S. & Schaffer, J. E. Palmitate-induced apoptosis can occur through a ceramide-independent pathway. J. Biol. Chem. 276, 14890–14895 (2001).
Zhou, L. J. et al. Microglia are indispensable for synaptic plasticity in the spinal dorsal horn and chronic pain. Cell Rep. 27, 3844–3859 (2019).
Li, C. et al. Toll-like receptor 4 deficiency causes reduced exploratory behavior in mice under approach-avoidance conflict. Neurosci. Bull. 32, 127–136 (2016).
Alhadeff, A. L. et al. Natural and drug rewards engage distinct pathways that converge on coordinated hypothalamic and reward circuits. Neuron 103, 891–908 (2019).
Shen, Y. et al. Postnatal activation of TLR4 in astrocytes promotes excitatory synaptogenesis in hippocampal neurons. J. Cell Biol. 215, 719–734 (2016).
Zhou, Y. D. et al. Arrested maturation of excitatory synapses in autosomal dominant lateral temporal lobe epilepsy. Nat. Med. 15, 1208–1214 (2009).
He, Y. et al. Amyloid beta oligomers suppress excitatory transmitter release via presynaptic depletion of phosphatidylinositol-4,5-bisphosphate. Nat. Commun. 10, 1193 (2019).
Yamamuro, K. et al. A prefrontal–paraventricular thalamus circuit requires juvenile social experience to regulate adult sociability in mice. Nat. Neurosci. 23, 1240–1252 (2020).
Jean-Richard-Dit-Bressel, P., Clifford, C. W. G. & McNally, G. P. Analyzing event-related transients: confidence intervals, permutation tests, and consecutive thresholds. Front. Mol. Neurosci. 13, 14 (2020).
Pascoli, V. et al. Stochastic synaptic plasticity underlying compulsion in a model of addiction. Nature 564, 366–371 (2018).
Acknowledgements
We thank the excellent technical assistance of the Imaging Facility at Zhejiang University School of Medicine. This work was supported by a MOST grant 2019YFA0801900 (Y.-D.Z.), National Natural Science Foundation of China grants 81770839 and 81821091 (Y.-D.Z.), 81971139 (Y.S.) and 81901374 (J.C.) and National Key Research and Development Program grant 2021YFC2701901 (J.F.).
Author information
Authors and Affiliations
Contributions
Y.-D.Z. and Y.S. designed the study. Y.-D.Z. and J.C. wrote the paper. J.C., X.M., C.L., R.U., X.W., Z.Y., J.L., S.L. and Y.S. analyzed the data. J.C., X.M., C.L., Z.Y. and J.L. performed behavioral studies. X.M. performed electrophysiology and fiber photometry experiments. J.C., X.M., C.L., R.U., X.W., J.L. and S.L. performed immunostaining and biochemical studies. Z.C. and J.F. contributed intellectually to the manuscript. All authors commented on the manuscript.
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing interests.
Peer review
Peer review information
Nature Neuroscience thanks Gavan McNally, Chun-Xia Yi and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Extended data
Extended Data Fig. 1 Compulsive eating behavior in HFD mice appears before a greater body weight gain in these mice than in chow mice.
a, Quantification of the numbers of lever presses in the 30-min baseline (BL, solid bars) and 30-min test (open bars) sessions of the sucrose self-administration test in mice fed chow (n = 14 mice) or HFD for 3 days (n = 9 mice), 1 week (1-wk, n = 8 mice), 2 weeks (2-wks, n = 7 mice), 4 weeks (4-wks, n = 10 mice), or 8 weeks (8-wks, n = 11 mice). b, Bar graph showing the ratios of test lever presses to baseline lever presses in animal groups shown in a. BL, baseline. c, Quantification of the body weight of mice fed chow (n = 11 mice), chow + PLX3397 (n = 10 mice), HFD (n = 11 mice), or HFD + PLX3397 (n = 10 mice) in a period of 30 days. d, Bar graphs showing the body weight of mice in c at 7 days (left), 14 days (middle), and 28 days (right) following their respective treatment. e, Quantification of calorie (Kcal) intake of mice fed chow (n = 4 cages, 20 mice), chow + PLX3397 (n = 3 cages, 18 mice), HFD (n = 4 cages, 20 mice), or HFD + PLX3397 (n = 3 cages, 18 mice) for 14 days. * P < 0.05, ** P < 0.01, *** P < 0.001. Data are mean ± SEM. See Supplementary Tables 1 and 2 for further details of statistical data analysis.
Extended Data Fig. 2 Mice fed HFD perform normally in the spontaneous sucrose consumption, EPM, and open field tests.
a, Representative tracings of chow and HFD mice performing the spontaneous sucrose consumption test in an open field apparatus. b-e, Quantification of the number of entries (b), the time spent (c), and the total distance (d) and speed (e) of travel per feeding zone during the sucrose consumption test for chow and HFD mice. n = 10 mice for each group. f, Bar graph showing the consumption of 10% and 30% sucrose during the test for chow and HFD mice. n = 10 mice for each group. g, Representative tracings of chow and HFD mice performing the EPM test. Open arms are horizontal in the panel. h, Quantification of the number of entries into the open arms (left) and the time spent in the open arms (right) for chow and HFD mice. n = 12 mice for each group. i, Representative tracings of control and HFD mice performing the open field test. j, Quantification of the number of central entries (left), the time spent in the central area (middle), and the total distance travelled (right) for control and HFD mice. n = 12 mice for each group. Data are mean ± SEM. See Supplementary Table 2 for further details of statistical data analysis.
Extended Data Fig. 3 The aPVT shows increased neuronal activities following the compulsive sucrose seeking test but not the spontaneous sucrose consumption and fear conditioning tests in HFD mice compared to chow mice.
a, Representative images of c-fos+ cells (green) in the aPVT and pPVT areas in mice fed chow or HFD for 1 week. b, Quantification of the densities of c-fos+ cells in the aPVT (n = 10 sections/3 mice for Chow group and 8 sections/3 mice for HFD group) and pPVT (n = 6 sections/3 mice for Chow group and 9 sections/3 mice for HFD group) in chow and HFD mice. c, Representative images of c-fos+ cells in various brain regions of chow and HFD mice. d, Quantification of the densities of c-fos+ cells in various brain areas of chow (Cg2_PrL: n = 4 sections/3 mice; M2: n = 8 sections/3 mice; AcbSh: n = 8 sections/3 mice; LSD + LSV: n = 11 sections/3 mice; BLA: n = 4 sections/3 mice; VMH: n = 4 sections/3 mice; DMH: n = 3 sections/3 mice; MePV_Aco: n = 4 sections/3 mice) and HFD (Cg2_PrL: n = 10 sections/3 mice; M2: n = 6 sections/3 mice; AcbSh: n = 8 sections/3 mice; LSD + LSV: n = 7 sections/3 mice; BLA: n = 3 sections/3 mice; VMH: n = 4 sections/3 mice; DMH: n = 3 sections/3 mice; MePV_Aco: n = 3 sections/3 mice) mice. e, Representative images (left) and quantification of the number (right) of c-fos+ cells in the aPVT in chow (n = 22 sections/4 mice) and HFD (n = 19 sections/5 mice) mice after the spontaneous sucrose consumption test. f, Representative images (left) and quantification of the number (right) of c-fos+ cells in the aPVT in chow (n = 10 sections/3 mice) and HFD (n = 14 sections/4 mice) mice the fear conditioning test. Scale bars, 100 μm. * P < 0.05, ** P < 0.01. Data are mean ± SEM. See Supplementary Table 2 for further details of statistical data analysis.
Extended Data Fig. 4 The CaMKIIα neurons in the aPVT do not respond to visual cues and foot-shocks in chow and HFD mice before and after fear conditioning.
a, b, Average GCaMP6f responses to visual cues followed by foot-shocks, visual cues only, and foot-shocks only from CaMKIIɑ+ neurons in the aPVT in chow and HFD mice before (a) and after (b) fear conditioning. n = 9 mice for Chow group and 8 mice for HFD group. c, d, Heatmap of ΔF/F for all individual trials from chow and HFD mice before (c) and after (d) fear conditioning. e, f, Quantification of the area under the curve (AUC) of GCaMP6f responses in the period of 6 s in chow and HFD mice before (e) and after (f) fear conditioning. n = 9 mice for Chow group and 8 mice for HFD group. Data are mean ± SEM. See Supplementary Table 2 for further details of statistical data analysis.
Extended Data Fig. 5 Activating the excitatory neurons in the aPVT does not alter Pavlovian fear, nor does it change the pain sensitivities in mice.
a, Bar graph showing the time spent freezing during a 10-s period before (precue) and after (postcue) presentation of a cue light in fear-conditioned control and ChR2 mice under the conditions of laser on/off. n = 7 mice for each group. b, Bar graph showing the foot-shock currents required to elicit flinching, jumping, and vocalizing in control and ChR2 mice under conditions of laser on/off. n = 4 mice for Ctrl group and 7 mice for ChR2 group. Data are mean ± SEM. See Supplementary Table 1 for further details of statistical data analysis.
Extended Data Fig. 6 Time course of microglia activation following HFD feeding and the interaction between activated neurons and microglia in the aPVT in HFD mice.
a, Representative images of the Iba-1+ cells (green) in the aPVT in mice fed chow, HFD for 3 days (3-day HFD), HFD for 1 week (1-wk HFD), and HFD for 4 weeks (4-wks HFD). Scale bar, 100 μm. b, Quantification of the number of the Iba-1+ microglia in the aPVT from chow (n = 8 sections/3 mice), 3-day HFD (n = 9 sections/3 mice), 1-wk HFD (n = 9 sections/3 mice), and 4-wks HFD (n = 9 sections/3 mice) groups. c, Representative images of the Iba-1+ cells (blue) and the c-fos+ (green) CaMKIIα (red) neurons in the aPVT in chow and HFD mice infused with ACSF or an anti-CSF-1 antibody. Scale bar, 50 μm. d, Quantification of the contact area between the c-fos+ CaMKIIα neurons and the Iba-1+ microglia in chow and HFD mice infused with ACSF or the anti-CSF-1 antibody. e, Quantification of the numbers of the c-fos+ CaMKIIα neurons that are located in three continuous concentric shells (0-2, 2-5, 5-10 μm) centered on individual Iba-1+ microglia in the aPVT of chow and HFD mice infused with ACSF or the anti-CSF-1 antibody. In d and e, n = 7 sections/2 mice, 15 sections/3 mice, 16 sections/3 mice, and 11 sections/3 mice for Chow + ACSF, Chow + anti-CSF-1, HFD + ACSF, and HFD + anti-CSF-1 groups, respectively. * P < 0.05, ** P < 0.01, *** P < 0.001. Data are mean ± SEM. See Supplementary Tables 1 and 2 for further details of statistical analysis.
Extended Data Fig. 7 Intraventricular administration of PA into the D3V induces microglia proliferation in the aPVT but not in the hypothalamus and promotes compulsive sucrose seeking in chow mice without changing their body weight.
a, Schematic of the experimental approaches of intraventricular (i.c.v.) delivery of PA-BSA complexes and behavioral training and testing sessions. b, c, Representative images of Iba-1+ microglia (b) and quantification of the density of Iba-1+ microglia (c) in the aPVT of chow mice after i.c.v administration of BSA (n = 10 sections/4 mice), 500 μM PA in BSA (n = 8 sections/4 mice), or 800 μM PA in BSA (n = 8 sections/4 mice). Bar, 100 μm. d, e, Quantification of the numbers of lever presses in the baseline (BL, solid bars) and test (open bars) sessions (d) and the ratio of test lever presses to baseline lever presses (e) in the cued sucrose self-administration test in chow mice treated with BSA (n = 9 mice), 500 μM PA in BSA (n = 9 mice), or 800 μM PA in BSA (n = 8 mice). f, Representative images showing the Iba-1+ microglia in the ARC and VMH after i.c.v administration of BSA, 500 μM PA in BSA, or 800 μM PA in BSA. Scale bar, 100 μm. g, h, Bar graphs showing the numbers of Iba-1+ microglia in the ARC (g) and VHM (h) after i.c.v. administration of BSA (n = 17 sections/5 mice), 500 μM PA in BSA (n = 14 sections/3 mice), or 800 μM PA in BSA (n = 15 sections/4 mice). i, Bar graphs showing the body weight of mice after i.c.v. administration of BSA (n = 6 mice), 500 μM PA in BSA (n = 5 mice), or 800 μM PA in BSA (n = 5 mice) for 1 day (left), 7 days (middle), and 14 days (right). * P < 0.05, *** P < 0.001. Data are mean ± SEM. See Supplementary Tables 1 and 2 for further details of statistical data analysis.
Extended Data Fig. 8 Enhanced neuronal activation in the aPVT and DMH is suppressed by PLX3397 treatment in mice fed HFD.
a-d, Representative images (left) and quantification of the number (right) of c-fos+ cells (green) in the aPVT (a), pPVT (b), DMH (c), and VMH (d) in mice from chow (aPVT: n = 12 sections/4 mice; pPVT: n = 12 sections/4 mice; DMH: n = 9 sections/3 mice; VMH: n = 9 sections/3 mice), chow + PLX3397 (aPVT: n = 19 sections/5 mice; pPVT: n = 16 sections/5 mice; DMH: n = 15 sections/5 mice; VMH: n = 11 sections/3 mice), HFD (aPVT: n = 15 sections/4 mice; pPVT: n = 18 sections/5 mice; DMH: n = 15 sections/4 mice; VMH: n = 14 sections/4 mice), and HFD + PLX3397 (aPVT: n = 18 sections/5 mice; pPVT: n = 20 sections/5 mice; DMH: n = 15 sections/4 mice; VMH: n = 12 sections/4 mice) groups. Scale bars, 100 μm. * P < 0.05, *** P < 0.001. Data are mean ± SEM. See Supplementary Table 2 for further details of statistical data analysis.
Extended Data Fig. 9 Neither the cannula implantation nor the repetitive injections affect microglial activation and neuronal number and morphology in the aPVT in mice fed chow.
a, Representative images of the aPVT Iba-1+ cells (green) in mice from the no cannula implantation (no cannula), cannula implantation without infusion (no injection), cannula implantation with one injection of ACSF (ACSF 1x), cannula implantation with one injection of an anti-CSF-1 antibody (anti-CSF-1 1x), and cannula implantation with 5 injections of the anti-CSF-1 antibody (anti-CSF-1 5x) groups. Scale bar, 100 μm. b, Quantification of the number of the Iba-1+ microglia in the aPVT in mice from the groups in a. n = 8, 9, 8, 9, and 8 sections/3 mice for No cannula, No injection, ACSF 1x, anti-CSF-1 1x, and anti-CSF-1 5x groups, respectively. c, Representative images of the Nissl-stained sections of the aPVT in mice from the no cannula, no injection, ACSF 1x, anti-CSF-1 1x, and anti-CSF-1 5x groups. Scale bars, 1 mm and 200 μm. d, Quantification of the number of the Nissl-stained neurons in the aPVT in mice from the groups in c. n = 9 sections/3 mice for each group. e, Representative images of the CaMKIIα neurons in the aPVT in mice from the no cannula, no injection, ACSF 1x, anti-CSF-1 1x, and anti-CSF-1 5x groups. Scale bar, 50 μm. f, Quantification of the number of the neurite intersections of the CaMKIIα neurons at different distance from the soma in the aPVT in mice from the groups in e. n = 10, 9, 8, 10, and 8 sections/3 mice for no cannula, no injection, ACSF 1x, anti-CSF-1 1x, and anti-CSF-1 5x groups, respectively. Data are mean ± SEM. See Supplementary Tables 1 and 2 for further details of statistical data analysis.
Extended Data Fig. 10 Partial depletion of microglia in the aPVT does not alter the Pavlovian fear, nor does it change the pain sensitivity in HFD mice.
a, Bar graph showing the time spent freezing during a 10-s period before (precue) and after (postcue) presentation of a cue light in fear-conditioned HFD mice infused with ACSF (n = 5 mice) or anti-CSF-1 antibody (n = 6 mice) in the aPVT. b, Bar graph showing the foot-shock currents required to elicit flinching, jumping, and vocalizing in HFD mice infused with ACSF (n = 6 mice) or anti-CSF-1 antibody (n = 7 mice). * P < 0.05, *** P < 0.001. Data are mean ± SEM. See Supplementary Tables 1 and 2 for further details of statistical data analysis.
Supplementary information
Supplementary Information
Supplementary Figs. 1–3 and Tables 1 and 2
Supplementary Data 1
Statistical Source Data for Supplementary Figs. 2 and 3
Source data
Figure. 1
Statistical Source Data
Figure. 2
Statistical Source Data
Figure. 3
Statistical Source Data
Cheng Extended Data Fig. 1
Statistical Source Data
Cheng Extended Data Fig. 2
Statistical Source Data
Cheng Extended Data Fig. 3
Statistical Source Data
Cheng Extended Data Fig. 4
Statistical Source Data
Cheng Extended Data Fig. 5
Statistical Source Data
Cheng Extended Data Fig. 6
Statistical Source Data
Cheng Extended Data Fig. 7
Statistical Source Data
Cheng Extended Data Fig. 8
Statistical Source Data
Cheng Extended Data Fig. 9
Statistical Source Data
Cheng Extended Data Fig. 10
Statistical Source Data
Rights and permissions
About this article
Cite this article
Cheng, J., Ma, X., Li, C. et al. Diet-induced inflammation in the anterior paraventricular thalamus induces compulsive sucrose-seeking. Nat Neurosci 25, 1009–1013 (2022). https://doi.org/10.1038/s41593-022-01129-y
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41593-022-01129-y
This article is cited by
-
Noteworthy perspectives on microglia in neuropsychiatric disorders
Journal of Neuroinflammation (2023)