Skip to main content

Thank you for visiting nature.com. 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.

  • Article
  • Published:

A hypothalamic circuit that modulates feeding and parenting behaviours

Abstract

Across mammalian species, new mothers undergo behavioural changes to nurture their offspring and meet the caloric demands of milk production1,2,3,4,5. Although many neural circuits underlying feeding and parenting behaviours are well characterized6,7,8,9, it is unclear how these different circuits interact and adapt during lactation. Here we performed transcriptomic profiling of the arcuate nucleus (ARC) and the medial preoptic area (MPOA) of the mouse hypothalamus in response to lactation and hunger. Furthermore, we showed that heightened appetite in lactating mice was accompanied by increased activity of hunger-promoting agouti-related peptide (AgRP) neurons in the ARC (ARCAgRP neurons). To assess the strength of hunger versus maternal drives, we designed a conflict assay in which female mice chose between a food source or pups and nesting material. Although food-deprived lactating mothers prioritized parenting over feeding, hunger reduced the duration and disrupted the sequences of parenting behaviours in both lactating and virgin females. We found that ARCAgRP neurons inhibit bombesin receptor subtype 3 (BRS3) neurons in the MPOA (MPOABRS3 neurons), which become more active postpartum and govern parenting and satiety. Activation of this ARCAgRP-to-MPOABRS3 circuit shifted behaviours from parenting to food-seeking. Thus, hypothalamic networks are modulated by physiological states and work antagonistically during the prioritization of competing motivated behaviours.

This is a preview of subscription content, access via your institution

Access options

Buy this article

USD 39.95

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Lactating mice exhibit increased appetite and ARCAgRP neuronal activity.
Fig. 2: Hunger delays and reduces parenting behaviours in virgin females and lactating mothers.
Fig. 3: ARCAgRP→MPOA activation or MPOA Parent-TRAP inhibition shifts behaviours from parenting to feeding.
Fig. 4: MPOABRS3 neurons regulate parenting and feeding behaviours.
Fig. 5: ARCAgRP neurons inhibit MPOABRS3 neurons, which show postpartum plasticity and projections to various brain regions.

Similar content being viewed by others

Data availability

Data are provided in all main and extended figures and accompanying Source Data. Our raw sequencing data are deposited in the Gene Expression Omnibus (GEO) with the accession number GSE295610. Other public sequencing data analysed in our study are from GEO with the accession numbers GSE93374 and GSE113576. Our processed sequencing data are available at Zenodo (https://doi.org/10.5281/zenodo.15319501)68Source data are provided with this paper.

Code availability

Code used to analyse scRNA-seq data was derived from https://satijalab.org/seurat/. Code used to analyse FED3 data was from https://github.com/earnestt1234/FED3_Viz. Custom code for our study is available at Zenodo (https://doi.org/10.5281/zenodo.15319501)68.

References

  1. Prentice, A. M. & Prentice, A. Energy costs of lactation. Annu. Rev. Nutr. 8, 63–79 (1988).

    Article  CAS  PubMed  Google Scholar 

  2. Fleming, A. S. & Rosenblatt, J. S. Maternal behavior in the virgin and lactating rat. J. Comp. Physiol. Psychol. 86, 957–972 (1974).

    Article  CAS  PubMed  Google Scholar 

  3. Brunton, P. J. & Russell, J. A. The expectant brain: adapting for motherhood. Nat. Rev. Neurosci. 9, 11–25 (2008).

    Article  CAS  PubMed  Google Scholar 

  4. Numan, M. & Woodside, B. Maternity: neural mechanisms, motivational processes, and physiological adaptations. Behav. Neurosci. 124, 715–741 (2010).

    Article  PubMed  Google Scholar 

  5. Woodside, B., Budin, R., Wellman, M. K. & Abizaid, A. Many mouths to feed: the control of food intake during lactation. Front. Neuroendocrinol. 33, 301–314 (2012).

    Article  CAS  PubMed  Google Scholar 

  6. Sohn, J. W., Elmquist, J. K. & Williams, K. W. Neuronal circuits that regulate feeding behavior and metabolism. Trends Neurosci. 36, 504–512 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Ahn, B. H., Kim, M. & Kim, S. Y. Brain circuits for promoting homeostatic and non-homeostatic appetites. Exp. Mol. Med. 54, 349–357 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Alcantara, I. C., Tapia, A. P. M., Aponte, Y. & Krashes, M. J. Acts of appetite: neural circuits governing the appetitive, consummatory, and terminating phases of feeding. Nat. Metab. 4, 836–847 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  9. Kohl, J. Parenting—a paradigm for investigating the neural circuit basis of behavior. Curr. Opin. Neurobiol. 60, 84–91 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Burnett, C. J. et al. Hunger-driven motivational state competition. Neuron 92, 187–201 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Burnett, C. J. et al. Need-based prioritization of behavior. eLife 8, e44527 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  12. Sutton, A. K. & Krashes, M. J. Integrating hunger with rival motivations. Trends Endocrinol. Metab. 31, 495–507 (2020).

    Article  CAS  Google Scholar 

  13. Barajas-Azpeleta, R., Tastekin, I. & Ribeiro, C. Neuroscience: How the brain prioritizes behaviors. Curr. Biol. 31, R1125–R1127 (2021).

    Article  CAS  PubMed  Google Scholar 

  14. Kovac, M. P. & Davis, W. J. Neural mechanism underlying behavioral choice in Pleurobranchaea. J. Neurophysiol. 43, 469–487 (1980).

    Article  CAS  PubMed  Google Scholar 

  15. Hong, W., Kim, D. W. & Anderson, D. J. Antagonistic control of social versus repetitive self-grooming behaviors by separable amygdala neuronal subsets. Cell 158, 1348–1361 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Cheriyamkunnel, S. J. et al. A neuronal mechanism controlling the choice between feeding and sexual behaviors in Drosophila. Curr. Biol. 31, 4231–4245.e4 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Mei, L., Yan, R., Yin, L., Sullivan, R. M. & Lin, D. Antagonistic circuits mediating infanticide and maternal care in female mice. Nature 618, 1006–1016 (2023).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  18. de Araujo Salgado, I. et al. Toggling between food-seeking and self-preservation behaviors via hypothalamic response networks. Neuron 111, 2899–2917.e6 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  19. Marlin, B. J., Mitre, M., D’Amour J, A., Chao, M. V. & Froemke, R. C. Oxytocin enables maternal behaviour by balancing cortical inhibition. Nature 520, 499–504 (2015).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  20. Stolzenberg, D. S. & Champagne, F. A. Hormonal and non-hormonal bases of maternal behavior: The role of experience and epigenetic mechanisms. Horm. Behav. 77, 204–210 (2016).

    Article  CAS  PubMed  Google Scholar 

  21. Ammari, R. et al. Hormone-mediated neural remodeling orchestrates parenting onset during pregnancy. Science 382, 76–81 (2023).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  22. Matikainen-Ankney, B. A. et al. An open-source device for measuring food intake and operant behavior in rodent home-cages. eLife 10, e66173 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Campbell, J. N. et al. A molecular census of arcuate hypothalamus and median eminence cell types. Nat. Neurosci. 20, 484–496 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. 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).

    Article  CAS  PubMed  Google Scholar 

  26. Takahashi, K. A. & Cone, R. D. Fasting induces a large, leptin-dependent increase in the intrinsic action potential frequency of orexigenic arcuate nucleus neuropeptide Y/Agouti-related protein neurons. Endocrinology 146, 1043–1047 (2005).

    Article  CAS  PubMed  Google Scholar 

  27. Mandelblat-Cerf, Y. et al. Arcuate hypothalamic AgRP and putative POMC neurons show opposite changes in spiking across multiple timescales. eLife 4, e07122 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  28. Chen, Y., Lin, Y. C., Kuo, T. W. & Knight, Z. A. Sensory detection of food rapidly modulates arcuate feeding circuits. Cell 160, 829–841 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

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

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  30. Padilla, S. L. et al. Agouti-related peptide neural circuits mediate adaptive behaviors in the starved state. Nat. Neurosci. 19, 734–741 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Alhadeff, A. L. et al. A Neural circuit for the suppression of pain by a competing need state. Cell 173, 140–152.e15 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Li, X. Y. et al. AGRP neurons project to the medial preoptic area and modulate maternal nest-building. J. Neurosci. 39, 456–471 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Numan, M. Medial preoptic area and maternal behavior in the female rat. J. Comp. Physiol. Psychol. 87, 746–759 (1974).

    Article  CAS  PubMed  Google Scholar 

  34. Numan, M., Numan, M. J., Marzella, S. R. & Palumbo, A. Expression of c-fos, fos B, and egr-1 in the medial preoptic area and bed nucleus of the stria terminalis during maternal behavior in rats. Brain Res. 792, 348–352 (1998).

    Article  CAS  PubMed  Google Scholar 

  35. Wu, Z., Autry, A. E., Bergan, J. F., Watabe-Uchida, M. & Dulac, C. G. Galanin neurons in the medial preoptic area govern parental behaviour. Nature 509, 325–330 (2014).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  36. Kohl, J. et al. Functional circuit architecture underlying parental behaviour. Nature 556, 326–331 (2018).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  37. Fang, Y. Y., Yamaguchi, T., Song, S. C., Tritsch, N. X. & Lin, D. A hypothalamic midbrain pathway essential for driving maternal behaviors. Neuron 98, 192–207.e10 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Brown, R. S. E. et al. Prolactin action in the medial preoptic area is necessary for postpartum maternal nursing behavior. Proc. Natl Acad. Sci. USA 114, 10779–10784 (2017).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  39. Yoshihara, C. et al. Calcitonin receptor signaling in the medial preoptic area enables risk-taking maternal care. Cell Rep. 35, 109204 (2021).

    Article  CAS  PubMed  Google Scholar 

  40. Atasoy, D., Betley, J. N., Su, H. H. & Sternson, S. M. Deconstruction of a neural circuit for hunger. Nature 488, 172–177 (2012).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  41. Betley, J. N., Cao, Z. F., Ritola, K. D. & Sternson, S. M. Parallel, redundant circuit organization for homeostatic control of feeding behavior. Cell 155, 1337–1350 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Moffitt, J. R. et al. Molecular, spatial, and functional single-cell profiling of the hypothalamic preoptic region. Science 362, eaau5324 (2018).

    Article  ADS  PubMed  PubMed Central  Google Scholar 

  43. Guenthner, C. J., Miyamichi, K., Yang, H. H., Heller, H. C. & Luo, L. Permanent genetic access to transiently active neurons via TRAP: targeted recombination in active populations. Neuron 78, 773–784 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. DeNardo, L. A. et al. Temporal evolution of cortical ensembles promoting remote memory retrieval. Nat. Neurosci. 22, 460–469 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Cazzulino, A. S., Martinez, R., Tomm, N. K. & Denny, C. A. Improved specificity of hippocampal memory trace labeling. Hippocampus 26, 752–762 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. McHenry, J. A. et al. Hormonal gain control of a medial preoptic area social reward circuit. Nat. Neurosci. 20, 449–458 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Ohki-Hamazaki, H. et al. Mice lacking bombesin receptor subtype-3 develop metabolic defects and obesity. Nature 390, 165–169 (1997).

    Article  ADS  CAS  PubMed  Google Scholar 

  48. Guan, X. M. et al. Antiobesity effect of MK-5046, a novel bombesin receptor subtype-3 agonist. J. Pharmacol. Exp. Ther. 336, 356–364 (2011).

    Article  CAS  PubMed  Google Scholar 

  49. Pinol, R. A. et al. Preoptic BRS3 neurons increase body temperature and heart rate via multiple pathways. Cell Metab. 33, 1389–1403.e6 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Motta, S. C. et al. Ventral premammillary nucleus as a critical sensory relay to the maternal aggression network. Proc. Natl Acad. Sci. USA 110, 14438–14443 (2013).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  51. Donato, J. Jr. et al. Lesions of the ventral premammillary nucleus disrupt the dynamic changes in Kiss1 and GnRH expression characteristic of the proestrus-estrus transition. Neuroscience 241, 67–79 (2013).

    Article  CAS  PubMed  Google Scholar 

  52. Donato, J. Jr. et al. The ventral premammillary nucleus links fasting-induced changes in leptin levels and coordinated luteinizing hormone secretion. J. Neurosci. 29, 5240–5250 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Mei, L., Osakada, T. & Lin, D. Hypothalamic control of innate social behaviors. Science 382, 399–404 (2023).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  54. Chen, P., Li, C., Haskell-Luevano, C., Cone, R. D. & Smith, M. S. Altered expression of agouti-related protein and its colocalization with neuropeptide Y in the arcuate nucleus of the hypothalamus during lactation. Endocrinology 140, 2645–2650 (1999).

    Article  CAS  PubMed  Google Scholar 

  55. Phillips, C. T. & Palmiter, R. D. Role of agouti-related protein-expressing neurons in lactation. Endocrinology 149, 544–550 (2008).

    Article  CAS  PubMed  Google Scholar 

  56. Suzuki, Y. et al. Changes in mRNA expression of arcuate nucleus appetite-regulating peptides during lactation in rats. J. Mol. Endocrinol. 52, 97–109 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. Catalbas, K. et al. Hypothalamic AgRP neurons regulate the hyperphagia of lactation. Mol. Metab. 86, 101975 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Szymczak-Workman, A. L., Vignali, K. M. & Vignali, D. A. Verification of 2 A peptide cleavage. Cold Spring Harb. Protoc. 2012, 255–257 (2012).

    Article  PubMed  Google Scholar 

  59. Raymond, C. S. & Soriano, P. High-efficiency FLP and PhiC31 site-specific recombination in mammalian cells. PLoS ONE 2, e162 (2007).

    Article  ADS  PubMed  PubMed Central  Google Scholar 

  60. Mickelsen, L. E. et al. Neurochemical heterogeneity among lateral hypothalamic hypocretin/orexin and melanin-concentrating hormone neurons identified through single-cell gene expression analysis. eNeuro https://doi.org/10.1523/ENEURO.0013-17.2017 (2017).

  61. Mickelsen, L. E. et al. Cellular taxonomy and spatial organization of the murine ventral posterior hypothalamus. eLife 9, e58901 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  62. Zheng, G. X. et al. Massively parallel digital transcriptional profiling of single cells. Nat. Commun. 8, 14049 (2017).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  63. Hao, Y. et al. Integrated analysis of multimodal single-cell data. Cell 184, 3573–3587.e29 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  64. Saunders, A. et al. Molecular diversity and specializations among the cells of the adult mouse brain. Cell 174, 1015–1030.e16 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  65. Friard, O. & Gamba, M. BORIS: a free, versatile open-source event-logging software for video/audio coding and live observations. Methods Ecol. Evol. 7, 1325–1330 (2016).

    Article  Google Scholar 

  66. Gao, C. et al. Molecular and spatial profiling of the paraventricular nucleus of the thalamus. eLife 12, e81818 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  67. Stirling, D. R. et al. CellProfiler 4: improvements in speed, utility and usability. BMC Bioinformatics 22, 433 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  68. Alcantara, I. C., Papas, B. N., & Krashes, M. J. Single-cell RNA-sequencing of the ARC and MPOA across satiety and lactation states in female mice. Zenodo https://doi.org/10.5281/zenodo.15319501 (2025).

Download references

Acknowledgements

The authors thank A. Fleischmann, W. Li, W. S. Young, and members of the M.J.K. and A. Lutas laboratories for discussions and support; G. Parham for assisting with coding and data analysis; and A. Franks for assisting with mouse husbandry. This research was funded by the Intramural Research Program of the National Institutes of Health, the National Institute of Diabetes and Digestive and Kidney Diseases (ZIA-DK075087, ZIA-DK075088) and the National Institute of Environmental Health Sciences (ZIC-ES102545).

Author information

Authors and Affiliations

Authors

Contributions

I.C.A. and M.J.K. conceived the project and designed the experiments. I.C.A. and C.L. performed stereotaxic surgeries. I.C.A., S.R.G., A.I.G. and E.O.K. performed behavioural experiments and fibre photometry recordings. R.A.P. performed cold exposure experiments paired fibre photometry recordings. C.L. performed slice electrophysiological recordings. I.C.A. analysed behavioural data. I.C.A., C.L. and R.A.P. analysed neuronal activity data. I.C.A., L.E.M., C.M.M. and G.C. collected samples for scRNA-seq. I.C.A., C.G., B.N.P. and J.-L.L. analysed the scRNA-seq data. I.C.A., C.G. and I.M.C. performed RNAscope and analysed the data. I.C.A., A.I.G. and M.J.K. performed histology and antibody staining. A.I.G. performed cell counting and axonal projection density analysis. C.X. and M.L.R. generated the Brs3-T2A-FlpO mouse line. I.C.A., C.L., B.N.P., A.I.G. and I.d.A.S. prepared the figures. I.C.A. wrote the manuscript, which all authors reviewed and edited.

Corresponding author

Correspondence to Michael J. Krashes.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature thanks Dayu Lin and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available.

Additional information

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

Extended data figures and tables

Extended Data Fig. 1 Lactating mice exhibit increased appetite during dark and light cycles.

a, mean daily food intake of control (n = 8) and lactating (n = 14) mice during baseline, pregnancy, lactation, and post-weaning. b-c, daily food intake of representative lactating mouse with 9 pups (b) or 3 pups (c). d-i, daily food intake measurement using FED3 in the dark cycle (d-e) and light cycle (f-g) of control (n = 6) and lactating (n = 5) mice during baseline, pregnancy, lactation, and post-weaning. h-i, same data as e and g but replotted to compare light vs. dark cycle food intake in control (h) and lactating (i) mice. Plots show mean ± s.e.m. Data analyzed using two-way RM-ANOVA with Šidák’s multiple comparisons test (a, e, g, h, i). Statistical details in Source Data.

Source data

Extended Data Fig. 2 Agrp+ neuronal cluster in the ARC exhibits the most changes in gene expression upon fasting.

a, heat map of relative expression of marker genes in each ARC neuronal cluster with dendrogram (top) showing similarities between clusters. b, comparison of our ARC clusters (columns) with ARC clusters from a previous scRNA-seq publication (rows). c, comparison of fasted virgin vs. fed virgin groups showing the contribution of each cluster to the first 8 principal components (PCs), highlighting the top contributor, cluster 0. Dashed red line shows contribution if all cluster contributed equally. d, FeaturePlot showing ARC neurons and clusters in UMAP space with Agrp and Npy expression.

Source data

Extended Data Fig. 3 Hunger delays and reduces parenting behaviors in virgin females and lactating mothers in the dark cycle.

a, schematic of the timing of fasting, refeeding, and conflict assay for fasted and refed groups. b, percent of animals that either performed pup retrieval or feeding as their first behavior (nvirgin = 7 mice, nlactating = 6 mice). c-f, probability density of pup retrieval and feeding events throughout the conflict assay (all trials). 1 total pellet consumed by 1 virgin female (refed) at time = 32.65 min is not shown to avoid skewing the visualization. g, transition probabilities between pup retrieval and feeding events in fasted virgin females and fasted lactating mothers. Only the feeding events prior to the completion of pup retrieval were used for the calculation. h, food intake. i, number of pups retrieved. j, latency to retrieve the first pup. k, nest score. l, preference index. m, food intake (# pellets) vs. % time in parenting chamber of virgin and lactating females in the fasted condition. Bar graphs show mean ± s.e.m. Box plots show median, upper/lower quartiles, and upper/lower extremes. Data analyzed using two-way RM-ANOVA with Šidák’s multiple comparisons test (h-l) or simple linear regression (m). Statistical details in Source Data.

Source data

Extended Data Fig. 4 Photostimulation of ARCAgRP projections to MPOA expressing ChR2 or eYFP.

a-i, ARCAgRP-ChR2. a, schematic of stimulation paradigms in fed mice. Created in BioRender. Alcantara, I. (2025) https://BioRender.com/09eqaav. b, 30 min food intake across different stimulation paradigms at 10 and 1 mW light intensity; “no stim” data are identical for 10 and 1 mW comparisons (n = 10 virgin females). c-d conflict assay without food (n = 8 virgin females). c, number of pups retrieved. d, number of pups attacked. e, nest score. f-i, conflict assay in Npy-KO background (n = 6 virgin females). f, food intake. g, number of pups retrieved. h, number of pups attacked. i, nest score. j-o, ARCAgRP-eYFP. j, histology. k, food intake. l-o, conflict assay. l, food intake. m, nest score. n, number of pups retrieved. o, preference index. Scale bars = 200 μm. Bar graphs show mean ± s.e.m. Box plots show median, upper/lower quartiles, and upper/lower extremes. Data analyzed using one-way RM-ANOVA with Šidák’s multiple comparisons test (b), one-sided paired t-test (c-e, g-h), two-sided paired t-tests (f, i, k) or one-way RM-ANOVA with Tukey’s multiple comparisons test (l-o). Statistical details in Source Data.

Source data

Extended Data Fig. 5 Inhibition of parenting neurons in MPOA reduces parenting in fed lactating mothers.

a, number of pups retrieved. b, nest score. c-d, food intake over time in Parent-TRAP (c) and Negative-TRAP (d) animals. e, total food intake at 40 min time point. f-g, preference index over time in Parent-TRAP (f) and Negative-TRAP (g) animals (n = 7 Parent-TRAP lactating mothers, n = 6 Negative TRAP lactating mothers). Bar and line graphs show mean ± s.e.m. Box plots show median, upper/lower quartiles, and upper/lower extremes. Data analyzed using two-way RM-ANOVA with Šidák’s multiple comparisons test. P-values in c-d, f-g indicate the treatment effect of CNO. Statistical details in Source Data.

Source data

Extended Data Fig. 6 MPOA neuronal clusters co-express several genetic markers for parenting-promoting neurons.

a, heat map of relative expression of marker genes in each MPOA neuronal cluster with dendrogram (top) showing similarities between clusters. b, comparison of our MPOA clusters (columns) with MPOA clusters from a previous scRNA-seq publication (rows). c, comparison of fed lactating vs. fed virgin groups showing the contribution of each cluster to the first 9 PCs. d, comparison of fasted virgin vs. fed virgin groups showing the contribution of each cluster to the first 10 PCs. e, DotPlot of clusters 3, 5, and 14 showing expression of Slc17a6 (Vglut2), Slc32a1 (Vgat), top 5 enriched genes in cluster 3 (Pde1c, Ptprk, Esr1, Dgkb, Grm8), parenting markers (Gal, Calcr, Prlr, Pgr, Brs3), and NPY receptors (Npy1r, Npy2r). f, fractions of neurons that are Brs3+, i.e. contains at least 1 unique molecular identifier (UMI), per MPOA cluster. g, left: co-expression matrix showing fraction of Gene A+ MPOA neurons that are also Gene B+, highlighting co-expression with Brs3 (e.g., 0.38 of Brs3+ neurons are Slc17a6+); right: fractions of MPOA neurons that are positive for select genes.

Source data

Extended Data Fig. 7 Inhibition of Esr1, Calcr, Crh, or MC4R neurons in MPOA with hM4Di.

a-d, conflict assay: histology (scale bars = 200 μm) (1), food intake (2), number of pups retrieved (3), nest score (4), and preference index (5) of animals expressing hM4Di in MPOAEsr1 (a, n = 8 virgin females), MPOACalcr (b, n = 10 virgin females), MPOACrh (c, n = 6 virgin females), or MPOAMC4R (d, n = 6 lactating mothers). Bar graphs show mean ± s.e.m. Box plots show median, upper/lower quartiles, and upper/lower extremes. Data analyzed using two-way RM-ANOVA with Fisher’s LSD test. Statistical details in Source Data.

Source data

Extended Data Fig. 8 Photometry MPOABRS3 expressing eYFP or GCaMP6s during parenting, feeding, and cold exposure.

a-e, MPOABRS3-eYFP fiber photometry of virgin females (n = 5). a, histology (scale bar = 200 μm). b-d, signal in response to pup (b), object (c), or food (d). e, mean response to all 3 stimuli. f-n, MPOABRS3-GCaMP6s fiber photometry in lactating mothers (n = 6). f, signal in response to pup or object in the fed condition. g, mean response to pup or object. h, signal aligned to pup presentation. i, mean response to pup in the fasted state. j, signal aligned to food presentation. k, mean response to food. l-m, representative traces in the fed (l) and fasted (m) states aligned to behaviors. n, mean signal during behaviors. o-q, MPOABRS3-GCaMP6s neurons in virgin females (n = 7) during cold exposure. o, experimental setup. Created in BioRender. Alcantara, I. (2025) https://BioRender.com/09eqaav. p, GCaMP6s signal (bottom) aligned to changes in ambient temperature (top). q, mean signal at 30 °C or 15 °C at time = 5 to 30 min. Bar and line graphs show mean ± s.e.m. Box plots show median, upper/lower quartiles, and upper/lower extremes. Data analyzed using two-way RM-ANOVA with Šidák’s multiple comparisons test (e, n) or two-tailed paired t-tests (g, i, k, q). P-values in n indicate the effect of hunger states and behavior types to the variance by two-way RM-ANOVA. Statistical details in Source Data.

Source data

Extended Data Fig. 9 Generation of the Brs3-T2A-FlpO line.

a, schematic of the Brs3-T2A-FlpO locus with genotyping strategy by PCR (n = 3 FlpO/+ mice); x475 = wild-type forward primer, x803 = FlpO forward primer, x564 = reverse primer. b, sequences of guide RNAs and long single-stranded DNA template. c, schematic of Flp-dependent GCaMP6s virus injection in MPOA of Brs3-T2A-FlpO line (n = 3 mice). d, representative confocal images from RNAscope experiment showing expression of Flp-dependent GCaMP mRNA and colocalization with Brs3 mRNA in MPOA (scale bar = 50 μm). e, representative images from n = 3 mice showing expression pattern of tdTomato in Brs3-T2A-FlpO mouse line crossed with RC::FLTG reporter along anterior/posterior axis relative to Bregma (scale bars = 200 μm).

Extended Data Fig. 10 Intrinsic properties of MPOABRS3 neurons in virgin females and lactating mothers measured by whole-cell patch clamp.

a, proportion of cells in depolarization block (DB) in virgin and lactating mice (nvirgin = 46 cells, nlactating = 40 cells, n = 6 mice each group). b, current required to hold cells at −70 mV. c, rheobase at −70 mV. d, capacitance. e, resistance. f, inter-spike membrane potential. Data analyzed using two-way RM-ANOVA with Šidák’s multiple comparisons test (b-f). Statistical details in Source Data.

Source data

Supplementary information

Source data

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Alcantara, I.C., Li, C., Gao, C. et al. A hypothalamic circuit that modulates feeding and parenting behaviours. Nature 645, 981–990 (2025). https://doi.org/10.1038/s41586-025-09268-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Version of record:

  • Issue date:

  • DOI: https://doi.org/10.1038/s41586-025-09268-5

This article is cited by

Search

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