The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
FGF21 Signals to Glutamatergic Neurons in the Ventromedial Hypothalamus to Suppress Carbohydrate Intake
Open accessAbstract
Fibroblast growth factor 21 (FGF21) is an endocrine hormone produced by the liver that regulates nutrient and metabolic homeostasis. FGF21 production is increased in response to macronutrient imbalance and signals to the brain to suppress sugar intake and sweet-taste preference. However, the central targets mediating these effects have been unclear. Here, we identify FGF21 target cells in the hypothalamus and reveal that FGF21 signaling to glutamatergic neurons is both necessary and sufficient to mediate FGF21-induced sugar suppression and sweet-taste preference. Moreover, we show that FGF21 acts directly in the ventromedial hypothalamus (VMH) to specifically regulate sucrose intake, but not non-nutritive sweet-taste preference, body weight, or energy expenditure. Finally, our data demonstrate that FGF21 affects neuronal activity by increasing activation and excitability of neurons in the VMH. Thus, FGF21 signaling to glutamatergic neurons in the VMH is an important component of the neurocircuitry that functions to regulate sucrose intake.
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In the citing paper
“KLB expression is primarily restricted to specific metabolic tissues (for example, the liver, pancreas and adipose tissue)5, and lower expression is observed in the brain22,48–50. Despite some reports to the contrary51,52, KLB is not expressed in muscle5,41.”
From Metabolic messengers: FGF21 (2021) · cites this paper as [48]
In the citing paper
“In contrast to the reported restriction of KLB expression to the suprachiasmatic nucleus49, KLB is expressed in numerous cell types and regions throughout the hypothalamus48 (and CNS).”
From Metabolic messengers: FGF21 (2021) · cites this paper as [48]
In the citing paper
“FGF21 accomplishes this action by increasing the excitability of KLB+ neurons in the VMH48.”
From Metabolic messengers: FGF21 (2021) · cites this paper as [48]
In the citing paper
“While physiological FGF21 signalling to glutamatergic neurons in the paraventricular nucleus regulates basal sucrose intake22,48, FGF21 signalling to glutamatergic neurons in the ventromedial hypothalamus (VMH) is required for FGF21-mediated suppression of simple-sugar intake48.”
From Metabolic messengers: FGF21 (2021) · cites this paper as [48]
In the citing paper
“FGF21 increases the sensitivity of both glucose-excited and glucose-inhibited neurons in the VMH in response to increased, but not decreased, glucose concentrations48.”
From Metabolic messengers: FGF21 (2021) · cites this paper as [48]
In the citing paper
“Recent work has demonstrated that FGF21 signals directly to glutamatergic, but not GABAergic or dopaminergic, neurons in regulating simple-sugar intake and sweet-taste preference48.”
From Metabolic messengers: FGF21 (2021) · cites this paper as [48]
In the citing paper
“these same neurons are dispensable in FGF21-mediated increases in energy expenditure.”
From Metabolic messengers: FGF21 (2021) · cites this paper as [48]
In the citing paper
“These findings indicate that FGF21 signals through distinct populations of neurons, thereby mediating effects on macronutrient intake and energy expenditure48.”
From Metabolic messengers: FGF21 (2021) · cites this paper as [48]
In the citing paper
“FGF21 signaling to the ventromedial hypothalamus (VMH) is required for its effects on lowering carbohydrate intake but not non-nutritive sweet-taste preference or body weight.”
From Hepatokines and metabolism: Deciphering communication from the liver (2021) · cites this paper as [173]
In the citing paper
“Recent research demonstrated that FGF21 signaling to glutamatergic neurons lowers carbohydrate intake and non-nutritive sweet-taste preference in mice [173].”
From Hepatokines and metabolism: Deciphering communication from the liver (2021) · cites this paper as [173]
In the citing paper
“FGF21 enhances the activity of VMH glucose-sensing neurons in response to glucose presumably to regulate carbohydrate intake [173].”
From Hepatokines and metabolism: Deciphering communication from the liver (2021) · cites this paper as [173]
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Cites
NIH Image to ImageJ: 25 years of image analysis
Schneider, C. A., Rasband, W. S., & Eliceiri, K. W. (2012) · Nature Methods · doi:10.1038/nmeth.2089 · Cited by 64,638
Comprehensive Integration of Single-Cell Data
Stuart, T., Butler, A., Hoffman, P., Hafemeister, C., Papalexi, E., Mauck, W. M., Hao, Y., Stoeckius, M., Smibert, P., & Satija, R. (2019) · Cell · doi:10.1016/j.cell.2019.05.031 · Cited by 15,453
A robust and high-throughput Cre reporting and characterization system for the whole mouse brain
Madisen, L., Zwingman, T. A., Sunkin, S. M., Oh, S. W., Zariwala, H. A., Gu, H., Ng, L. L., Palmiter, R. D., Hawrylycz, M. J., Jones, A. R., et al. (2010) · Nature Neuroscience · doi:10.1038/nn.2467 · Cited by 6,907
A resource of Cre driver lines for genetic targeting of GABAergic neurons in cerebral cortex
Taniguchi, H., He, M., Wu, P., Kim, S., Paik, R., Sugino, K., Kvitsani, D., Fu, Y., Lu, J., Lin, Y., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.07.026 · Cited by 1,828
Chan, K. Y., Jang, M. J., Yoo, B. B., Greenbaum, A., Ravi, N., Wu, W.-L., Sánchez-Guardado, L., Lois, C., Mazmanian, S. K., Deverman, B. E., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4593 · Cited by 1,578
Leptin Action on GABAergic Neurons Prevents Obesity and Reduces Inhibitory Tone to POMC Neurons
Vong, L., Ye, C., Yang, Z., Choi, B. J., Chua, S. C., & Lowell, B. B. (2011) · Neuron · doi:10.1016/j.neuron.2011.05.028 · Cited by 1,237
Divergence of Melanocortin Pathways in the Control of Food Intake and Energy Expenditure
Balthasar, N., Dalgaard, L. T., Lee, C. E., Yu, J. H., Funahashi, H., Williams, T. B., Ferreira, M. A. R., Tang, V., McGovern, R. A., Kenny, C. D., et al. (2005) · Cell · doi:10.1016/j.cell.2005.08.035 · Cited by 1,107
Solon-Biet, S. M., McMahon, A. C., Ballard, J. W. O., Ruohonen, K., Wu, L. E., Cogger, V. C., Warren, A., Huang, X., Pichaud, N., Melvin, R. G., et al. (2014) · Cell Metabolism · doi:10.1016/j.cmet.2014.02.009 · Cited by 904
The effects of LY2405319, an FGF21 analog, in obese human subjects with type 2 diabetes
Gaich, G., Chien, J. Y., Fu, H., Glass, L. C., Deeg, M. A., Holland, W. L., Kharitonenkov, A., Bumol, T., Schilske, H. K., & Moller, D. E. (2013) · Cell Metabolism · doi:10.1016/j.cmet.2013.08.005 · Cited by 885
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Timper, K., & Brüning, J. C. (2017) · Disease Models & Mechanisms · doi:10.1242/dmm.026609 · Cited by 851
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Christaki, E. V., Pervanidou, P., Papassotiriou, I., Mantzou, A., Giannakakis, G. A., Boschiero, D., & Chrousos, G. P. (2022) · Children · doi:10.3390/children9060821 · Cited by 6
Wang, J., Beecher, K., Chehrehasa, F., & Moody, H. (2022) · Reviews in the Neurosciences · doi:10.1515/revneuro-2022-0072 · Cited by 4
Kuo, Y., Tsai, H.-Y., Kuo, Y., Tzeng, S., Chen, P.-S., Hsu, P., Lin, Y., & Chen, P. (2023) · Life Sciences · doi:10.1016/j.lfs.2023.121900 · Cited by 5
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Meng, J., Chen, X., & Zhu, Y. (2025) · Endocrinology · doi:10.1210/endocr/bqaf176 · Cited by 4
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Ramne, S., Seco, T. D. D. C., Kuentzel, K. B., Grevengoed, T. J., Hjerresen, J. P., Möritz, T., Hansen, T. F., Raben, A., & Grarup, N. (2025) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00265.2025 · Cited by 2
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Yunker, A. G., Alves, J. M., LUO, S. H., ANGELO, B. C., DEFENDIS, A. W., Pickering, T. A., Jann, K., Monterosso, J. R., & Page, K. A. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.05.29.446318
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Wu, C.-T., Larson, K. R., Sims, L. C., & Ryan, K. K. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.07.07.547884
Reilly, J. (2023) · Queensland University of Technology · doi:10.5204/thesis.eprints.242770
Бажан, Н. М., & En, M. (2023) · Успехи физиологических наук · doi:10.31857/s0301179823040033
Jakovleva, T., Kazantseva, A., Mamontova, K. Y., & Bazhan, N. (2024) · Journal of Evolutionary Biochemistry and Physiology · doi:10.1134/s0022093024020315
Jakovleva, T., Kazantseva, A. Y., Mamontova, K. Y., & Бажан, Н. М. (2024) · Российский физиологический журнал им И М Сеченова · doi:10.31857/s0869813924040054
Zheng, L., Sasaki, T., Ni, L., Takahashi, Y., Yamauchi, Y., Shimizu, M., & Sato, R. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.18.638653
Yoshida, Y., Shinomiya, A., Oikawa, M., Shimada, T., Hanaki, K., & Watanabe, Y. (2025) · YAKUGAKU ZASSHI · doi:10.1248/yakushi.24-00177-3
Bruse, J., Marbach, C., Polizzi, A., Landré, T., Salvi, J., Alquier‐Bacquie, V., Shiou-Ping, C., Huillet, M., Rives, C., Martin, C. M. P., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.22.683899
Yoshida, Y., Shinomiya, A., Hanaki, K., & Watanabe, Y. (2025) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2025.152874
Wu, X., Jia, J., Deng, X., Ma, X., Yuan, G., Yang, L., & Li, H. (2025) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s524997
Brenner, C., Tiwari, V., Chen, Y.-M., & Chen, I.-C. (2025) · medRxiv · doi:10.64898/2025.12.10.25342016
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Juber, M. C., King-McAlpin, S., Buscaglia, P., Sebag, J. A., & Potthoff, M. J. (2026) · Endocrinology · doi:10.1210/endocr/bqag040
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Carbinatti, T. (2024) · theses.fr (ABES) · doi:10.70675/5d147ab4zad37z4f6bzac51z32a08efeaa51
Bruse, J., Marbach, C., Polizzi, A., Landré, T., Salvi, J., Alquier‐Bacquie, V., Chen, S.-P., Huillet, M., Rives, C., Céline, M., et al. (2026) · EMBO Reports · doi:10.1038/s44319-026-00790-9
Guo, S., Liu, X., Xi, Y., Qi, J., Yang, Z., Han, X., Ling, W., Bai, L., Huang, A., Hu, S., et al. (2026) · Poultry Science · doi:10.1016/j.psj.2026.107025
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Morys, F., Nielsen, D. E., Liu, L., Kanyamibwa, A., Attar, A., Meng, T., Shishikura, M., Horstmann, A., & Dagher, A. (2026) · Clinical Nutrition · doi:10.1016/j.clnu.2026.106798
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Saavedra, J. E., Gallo-Villegas, J., & Calderón, J. C. (2026) · Journal of physiology and biochemistry · doi:10.1007/s13105-026-01233-8
Martín‐Chamorro, R. A., Pomar, C. A., Palou, A., Picó, C., & Rodríguez, A. M. (2026) · The FASEB Journal · doi:10.1096/fj.202603380r
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Metadata
- Authors
- Jensen-Cody, S. O., Flippo, K. H., Claflin, K. E., Yavuz, Y., Sapouckey, S. A., Walters, G. C., Usachev, Y. M., Atasoy, D., Gillum, M. P., & Potthoff, M. J.
- Affiliations
- University of Iowa (US)
- University of Copenhagen (DK)
- Corresponding author
- Gillum, Matthew P.
- Potthoff, Matthew J.
- ORCID
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 32
- Issue
- 2
- Pages
- 273-286.e6
- ISSN
- 1550-4131 (ISSN-L)
- PMC
- PMC7734879
- OpenAlex
- W3039069992
- Cited by
- 166
- References
- 71
- Citations by year
- 2026: 26 · 2025: 38 · 2024: 18 · 2023: 24 · 2022: 32 · 2021: 21 · 2020: 7
- FWCI
- 6.81
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell Metabolism (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, other-oa)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- U.S. Department of Veterans Affairs
- National Institutes of Health
- American Heart Association
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fibroblast Growth Factor Research
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Regulation of Appetite and Obesity
- Health Sciences › Nursing › Nutrition and Dietetics › Biochemical Analysis and Sensing Techniques
- Keywords
- FGF21, ventromedial hypothalamus, glutamatergic neurons, sucrose intake, carbohydrate intake, sweet taste preference, neuronal excitability
- MeSH terms
- Animals, Energy Intake, Carbohydrates, Female, Fibroblast Growth Factors, Male, Mice, Inbred C57BL, Mice, Transgenic, Neurons, Signal Transduction, Mice
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