The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
Defining the Nutritional and Metabolic Context of FGF21 Using the Geometric Framework
Open accessAbstract
Fibroblast growth factor 21 (FGF21) is the first known endocrine signal activated by protein restriction. Although FGF21 is robustly elevated in low-protein environments, increased FGF21 is also seen in various other contexts such as fasting, overfeeding, ketogenic diets, and high-carbohydrate diets, leaving its nutritional context and physiological role unresolved and controversial. Here, we use the Geometric Framework, a nutritional modeling platform, to help reconcile these apparently conflicting findings in mice confined to one of 25 diets that varied in protein, carbohydrate, and fat content. We show that FGF21 was elevated under low protein intakes and maximally when low protein was coupled with high carbohydrate intakes. Our results explain how elevation of FGF21 occurs both under starvation and hyperphagia, and show that the metabolic outcomes associated with elevated FGF21 depend on the nutritional context, differing according to whether the animal is in a state of under- or overfeeding.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“a thorough analysis of macronutrient intake has revealed that fat intake does not significantly alter FGF21 expression in rodents28.”
From Metabolic messengers: FGF21 (2021) · cites this paper as [28]
In the citing paper
“FGF21 is maximally induced under a nutritional state of a combined high-sugar/low-protein condition28.”
From Metabolic messengers: FGF21 (2021) · cites this paper as [28]
In the citing paper
“maximal levels of circulating FGF21 increase in response to a combination of low-protein and high-carbohydrate conditions [152,158,165].”
From Hepatokines and metabolism: Deciphering communication from the liver (2021) · cites this paper as [152]
In the citing paper
“several recent studies confirmed that hepatic FGF21 increases in response to other nutritional stimuli, including conditions of macronutrient imbalance [152], and in response to alcohol intake [138,140,153].”
From Hepatokines and metabolism: Deciphering communication from the liver (2021) · cites this paper as [152]
In the citing paper
“Low-protein diets (73, 85), amino acid starvation (25, 121), and the amino acid–depleting drug asparaginase (138) also induce plasma FGF21 levels.”
From Fibroblast Growth Factor 21: A Versatile Regulator of Metabolic Homeostasis (2018) · cites this paper as [121]
In the citing paper
“This study found that FGF21 was elevated robustly by low protein and that this induction was maximized when low-protein intake was coupled with high-carbohydrate intake (121).”
From Fibroblast Growth Factor 21: A Versatile Regulator of Metabolic Homeostasis (2018) · cites this paper as [121]
In the citing paper
“Circulating FGF21 levels are robustly increased by diets that are high in carbohydrate but low in protein”
From FGF21 and the physiological regulation of macronutrient preference (2020) · cites this paper as [145]
In the citing paper
“their data suggest that protein intake is the primary driver of circulating FGF21 levels, but that maximal FGF21 occurs in mice consuming diets that were both low in protein and high in carbohydrate”
From FGF21 and the physiological regulation of macronutrient preference (2020) · cites this paper as [145]
In the citing paper
“Both acute carbohydrate ingestion and long-term exposure to high-carbohydrate diets significantly increase liver FGF21 mRNA expression and circulating FGF21 levels”
From FGF21 and the physiological regulation of macronutrient preference (2020) · cites this paper as [145]
In the citing paper
“liver FGF21 production seems to be robustly stimulated by an imbalance in macronutrients, particularly settings of high-carbohydrate but low-protein intake”
From FGF21 and the physiological regulation of macronutrient preference (2020) · cites this paper as [145]
In the citing paper
“liver FGF21 expression and circulating FGF21 protein levels are increased by the restriction of protein intake in mice, rats, and humans”
From FGF21 and the physiological regulation of macronutrient preference (2020) · cites this paper as [145]
In the citing paper
“the effect of high carbohydrate and low protein to increase FGF21 appears to be regulated independently”
From FGF21 and the physiological regulation of macronutrient preference (2020) · cites this paper as [145]
In the citing paper
“This increase in FGF21 is directly related to reduced protein intake, as it occurs in settings of both low and high carbohydrate and low and high fat”
From FGF21 and the physiological regulation of macronutrient preference (2020) · cites this paper as [145]
In the citing paper
“reductions in dietary protein intake—or the intake of specific amino acids—increase liver FGF21 mRNA expression and circulating FGF21 protein levels”
From FGF21 and the physiological regulation of macronutrient preference (2020) · cites this paper as [145]
Citations
Cites
mTOR Signaling in Growth Control and Disease
Laplante, M., & Sabatini, D. M. (2012) · Cell · doi:10.1016/j.cell.2012.03.017 · Cited by 8,509
Extending Healthy Life Span—From Yeast to Humans
Fontana, L., Partridge, L., & Longo, V. D. (2010) · Science · doi:10.1126/science.1172539 · Cited by 3,023
Inagaki, T., Dutchak, P., Zhao, G., Ding, X., Gautron, L., Parameswara, V., Li, Y., Goetz, R., Mohammadi, M., Esser, V., et al. (2007) · Cell Metabolism · doi:10.1016/j.cmet.2007.05.003 · Cited by 1,504
Badman, M. K., Pissios, P., Kennedy, A. R., Koukos, G., Flier, J. S., & Maratos-Flier, E. (2007) · Cell Metabolism · doi:10.1016/j.cmet.2007.05.002 · Cited by 1,495
FGF21 regulates PGC-1α and browning of white adipose tissues in adaptive thermogenesis
Fisher, F. M., Kleiner, S., Douris, N., Fox, E. C., Mepani, R. J., Verdeguer, F., Wu, J., Kharitonenkov, A., Flier, J. S., Maratos-Flier, E., et al. (2012) · Genes & Development · doi:10.1101/gad.177857.111 · Cited by 1,478 · cited 2×
“Consistent with these results, recent evidence has shown that FGF21 increases expression of UCP1 in adipose tissue to induce thermogenesis (Fisher et al., 2012) and can explain the suppression of hepatic gluconeogenesis (Sarruf et al., 2010; Xu et al., 2009) in this condition.”
Xu, J., Lloyd, D. J., Hale, C., Stanislaus, S., Chen, M., Sivits, G., Vonderfecht, S., Hecht, R., Li, Y.-S., Lindberg, R. A., et al. (2009) · Diabetes · doi:10.2337/db08-0392 · Cited by 1,151
Lifespan and reproduction in Drosophila : New insights from nutritional geometry
Lee, K. P., Simpson, S. J., Clissold, F. J., Brooks, R., Ballard, J. W. O., Taylor, P. W., Soran, N., & Raubenheimer, D. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0710787105 · Cited by 1,032
Self-citationZhang, X., Yeung, D. C. Y., Karpisek, M., Stejskal, D., Zhou, Z.-G., Liu, F., Wong, R. L. C., Chow, W.-S., Tso, A. W. K., Lam, K. S. L., et al. (2008) · Diabetes · doi:10.2337/db07-1476 · Cited by 908
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
Self-citationA Creatine-Driven Substrate Cycle Enhances Energy Expenditure and Thermogenesis in Beige Fat
Kazak, L., Chouchani, E. T., Jedrychowski, M. P., Erickson, B. K., Shinoda, K., Cohen, P., Vetrivelan, R., Lu, G. Z., Laznik-Bogoslavski, D., Hasenfuss, S. C., et al. (2015) · Cell · doi:10.1016/j.cell.2015.09.035 · Cited by 787
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–200 of 212
Kalafut, K. C., Mitchell, S. J., MacArthur, M. R., & Mitchell, J. R. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.839341 · Cited by 22
Hunt, N. J., Wahl, D., Westwood, L. J., Lockwood, G. P., Couteur, D. G. L., & Cogger, V. C. (2022) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2022.114537 · Cited by 21
Self-citationRelationship between FGF21 and drug or nondrug therapy of type 2 diabetes mellitus
Guo, C. Y., Zhao, L., Li, Y., Deng, X., & Yuan, G. (2020) · Journal of Cellular Physiology · doi:10.1002/jcp.29879 · Cited by 21
FGF21 prevents low-protein diet-induced renal inflammation in aged mice
Fang, H., Ghosh, S., Sims, L. C., Stone, K. P., Hill, C. M., Spires, D. R., Ilatovskaya, D. V., Morrison, C. D., Gettys, T. W., & Stadler, K. (2021) · American Journal of Physiology-Renal Physiology · doi:10.1152/ajprenal.00107.2021 · Cited by 20
Self-citationAssociation between macronutrients intake distribution and bone mineral density
Gao, S., Qian, X., Huang, S., Deng, W., Li, Z., & Hu, Y. (2022) · Clinical Nutrition · doi:10.1016/j.clnu.2022.05.019 · Cited by 21
Meal sugar-protein balance determines postprandial FGF21 response in humans
Ramne, S., Duizer, L., Nielsen, M. S., Jørgensen, N. R., Svenningsen, J. S., Grarup, N., Sjödin, A. M., Raben, A., & Gillum, M. P. (2023) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00241.2023 · Cited by 20
Liu, X., Wang, Y., Zhao, S., & Li, X. (2017) · BioMed Research International · doi:10.1155/2017/1648715 · Cited by 19
Effects and possible mechanisms of intermittent fasting on health and disease: a narrative review
Li, Z., Huang, L., Luo, Y., Yu, B., & Tian, G. (2023) · Nutrition Reviews · doi:10.1093/nutrit/nuad026 · Cited by 21
Towards a biological geriatric assessment
Tuttle, C. S. L., & Maier, A. B. (2017) · Experimental Gerontology · doi:10.1016/j.exger.2017.09.017 · Cited by 20
Laeger, T., Castaño-Martinez, T., Werno, M. W., Japtok, L., Baumeier, C., Jonas, W., Kleuser, B., & Schürmann, A. (2018) · Diabetologia · doi:10.1007/s00125-018-4595-1 · Cited by 17
García-Flores, L. A., Green, C. L., Mitchell, S. E., Promislow, D., Lusseau, D., Douglas, A., & Speakman, J. R. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2101977118 · Cited by 16
Resource allocation in mammalian systems
Baghdassarian, H. M., & Lewis, N. E. (2024) · Biotechnology Advances · doi:10.1016/j.biotechadv.2023.108305 · Cited by 17
Moro, J., Chaumontet, C., Even, P. C., Blais, A., Piedcoq, J., Gaudichon, C., Tomé, D., & Azzout‐Marniche, D. (2021) · Scientific Reports · doi:10.1038/s41598-021-91274-4 · Cited by 17
Johansson, H.-E., Edholm, D., Kullberg, J., Rosqvist, F., Rudling, M., Straniero, S., Karlsson, F. A., Ahlström, H. K., Sundbom, M., & Risérus, U. (2019) · Nutrition and Diabetes · doi:10.1038/s41387-019-0100-2 · Cited by 17
Protein-Restricted Diets and Their Impact on Metabolic Health and Aging
Kim, S. Q., Spann, R. A., Hill, C. M., Berryman, C. E., Berthoud, H., McDougal, D. H., He, Y., Münzberg, H., Yu, S., & Morrison, C. D. (2025) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-121624-114918 · Cited by 17
Self-citationHepatic interoception in health and disease
Berthoud, H., Münzberg, H., Morrison, C. D., & Neuhuber, W. (2024) · Autonomic Neuroscience · doi:10.1016/j.autneu.2024.103174 · Cited by 17
Self-citationFibroblast growth factor 21 and protein energy wasting in hemodialysis patients
Post, A., Groothof, D., Schutten, J. C., Kelly, D., Swarte, J. C., Flores-Guerrero, J. L., van der Veen, Y., Kema, I. P., Özyilmaz, A., Enya, A., et al. (2021) · Clinical Nutrition · doi:10.1016/j.clnu.2021.01.036 · Cited by 16
Garcia‐Caraballo, S., Comhair, T. M., Dejong, C. H. C., Lamers, W. H., & Köhler, E. (2017) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2017.04.022 · Cited by 16
Role of peptide hormones in the adaptation to altered dietary protein intake
Rose, A. J. (2019) · Nutrients · doi:10.3390/nu11091990 · Cited by 15
Comprehensive evaluation of caloric restriction-induced changes in the metabolome profile of mice
Xie, D., Huang, J., Zhang, Q., Zhao, S., Xue, H., Yu, Q., Sun, Z., Li, J., Yang, X., Shao, M., et al. (2022) · Nutrition & Metabolism · doi:10.1186/s12986-022-00674-4 · Cited by 15
FGF21 mediating the Sex-dependent Response to Dietary Macronutrients
Sauza, K. A. S., & Ryan, K. K. (2024) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgae363 · Cited by 14
Different duck products protein on rat physiology and gut microbiota
Wei, T., Dang, Y., Cao, J., Wu, Z. F., He, J., Sun, Y., Pan, D., & Tian, Z. (2019) · Journal of Proteomics · doi:10.1016/j.jprot.2019.103436 · Cited by 14
Kiluk, P., Baran, A. M., Kaminski, T. W., Maciaszek, M., & Flisiak, I. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8122206 · Cited by 15
Fotheringham, A. K., Solon‐Biet, S. M., Bielefeldt‐Ohmann, H., McCarthy, D. A., McMahon, A. C., Ruohonen, K., Li, I., Sullivan, M. A., Whiddett, R. O., Borg, D. J., et al. (2021) · iScience · doi:10.1016/j.isci.2021.103308 · Cited by 14
Self-citationEffects of dietary macronutrients on the hepatic transcriptome and serum metabolome in mice
Wu, Y., Green, C. L., Wang, G., Yang, D., Li, L., Li, B., Wang, L., Li, M., Li, J., Xu, Y., et al. (2022) · Aging Cell · doi:10.1111/acel.13585 · Cited by 13
Even, P. C., Gehring, J., & Tomé, D. (2021) · Obesity Reviews · doi:10.1111/obr.13194 · Cited by 17
Modulation of frailty syndrome by diet: A review of evidence from mouse studies
Mitchell, S. J., Mitchell, G. J., & Mitchell, J. R. (2019) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2019.04.003 · Cited by 11
Protein Restriction in Metabolic Health: Lessons from Rodent Models
Na, K., & Park, Y. J. (2024) · Nutrients · doi:10.3390/nu16020229 · Cited by 12
Richter, M. M., Thomsen, M. N., Skytte, M. J., Kjeldsen, S. A. S., Samkani, A., Frystyk, J., Magkos, F., Holst, J. J., Madsbad, S., Krarup, T., et al. (2024) · Journal of the Endocrine Society · doi:10.1210/jendso/bvae008 · Cited by 13
Kim, S. Q., Spann, R. A., Khan, M. S. H., Berthoud, H., Münzberg, H., Albaugh, V. L., He, Y., McDougal, D. H., Soto, P. L., Yu, S., et al. (2024) · Neuropharmacology · doi:10.1016/j.neuropharm.2024.110010 · Cited by 10
Self-citationThe Geometric Framework for Nutrition and Its Application to Rodent Models
Senior, A. M., Raubenheimer, D., Couteur, D. G. L., & Simpson, S. J. (2024) · Annual Review of Animal Biosciences · doi:10.1146/annurev-animal-111523-102327 · Cited by 12
Self-citationHew, J. J., Parungao, R., Tsai, K. H. ‐., Shi, H., Ma, D., Nicholls, C. M., Li, Z., Solon‐Biet, S. M., D'Souza, M. I., Couteur, D. G. L., et al. (2020) · British Journal Of Nutrition · doi:10.1017/s0007114520000276 · Cited by 12
Self-citationAlemán, G., Castro, A. L., Vigil‐Martínez, A., Torre-Villalvazo, I., Díaz‐Villaseñor, A., Noriega, L. G., Vera, I., Ordáz, G., Torres, N., & Tovar, A. R. (2019) · Genes & Nutrition · doi:10.1186/s12263-019-0642-x · Cited by 12
Maternal macronutrient intake effects on offspring macronutrient targets and metabolism
Freire, T., Clark, X., Pulpitel, T., Bell-Anderson, K. S., Ribeiro, R. V., Raubenheimer, D., Crean, A. J., Simpson, S. J., & Solon‐Biet, S. M. (2024) · Obesity · doi:10.1002/oby.23995 · Cited by 11
Self-citationMacronutrient interactions and models of obesity: Insights from nutritional geometry
Wali, J. A., Ni, D., Raubenheimer, D., & Simpson, S. J. (2024) · BioEssays · doi:10.1002/bies.202400071 · Cited by 11
Self-citationQian, Z., Zhang, Y., Yang, N., Nie, H., Yang, Z. L., Luo, P., Wei, X., Guan, Y., Huang, Y., Yan, J., et al. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.984828 · Cited by 11
Mráziková, L., Hojná, S., Vaculová, P., Strnad, Š., Vrkoslav, V., Pelantová, H., Kuzma, M., Železná, B., Kuneš, J., & Maletı́nská, L. (2023) · Nutrients · doi:10.3390/nu15020280 · Cited by 11
Wisse, L. E., Visser, D., ter Braak, T. J., Bakkali, A., Struys, E. A., Morrison, C. D., van der Knaap, M. S., & Abbink, T. E. M. (2020) · Nutritional Neuroscience · doi:10.1080/1028415x.2020.1846356 · Cited by 10
Self-citationMistry, J., Silvennoinen, S., Zaman, F., Sävendahl, L., Mariniello, K., Hall, C., Howard, S., Dunkel, L., Sankilampi, U., & Guasti, L. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1105602 · Cited by 7
Parsing the Potential Neuroendocrine Actions of FGF21 in Primates
Gillum, M. P. (2018) · Endocrinology · doi:10.1210/en.2018-00208 · Cited by 9
Yan, J., Ren, C., Dong, Y., Wali, J. A., Song, H., Zhang, Y., Zhang, H., Kou, G., Raubenheimer, D., & Cui, Z. (2023) · Nutrients · doi:10.3390/nu15010251 · Cited by 12
Self-citationZaman, K., Mun, H., Solon‐Biet, S. M., Senior, A. M., Raubenheimer, D., Simpson, S. J., & Conigrave, A. D. (2024) · Journal of Nutrition · doi:10.1016/j.tjnut.2024.04.007 · Cited by 9
Self-citationLow- and high-protein diets do not alter ex vivo insulin action in skeletal muscle
Li, Z., Rasmussen, M. L., Li, J., Henríquez‐Olguín, C., Knudsen, J. R., Søgaard, O. S., Madsen, A. B., & Jensen, T. E. (2018) · Physiological Reports · doi:10.14814/phy2.13798 · Cited by 8
Zone-specific damage of the olfactory epithelium under protein restriction
Tuerdi, A., Kikuta, S., Kinoshita, M., Kamogashira, T., Kondo, K., & Yamasoba, T. (2020) · Scientific Reports · doi:10.1038/s41598-020-79249-3 · Cited by 10
Solomon, T. P. J., Carter, S., Haus, J. M., Karstoft, K., von Holstein‐Rathlou, S., Nielsen, M. S., & Gillum, M. P. (2022) · PeerJ · doi:10.7717/peerj.12755 · Cited by 10
Yen, H., Hsieh, S., Chen, C., Yang, W., Lee, P., Lin, M., Chen, C., & Yang, P. (2020) · Scientific Reports · doi:10.1038/s41598-020-62395-z · Cited by 9
Hunger and Satiety: Linking Mechanisms, Behavior and Evolution
Raubenheimer, D., & Simpson, S. J. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-809633-8.20881-9 · Cited by 9
Self-citationFibroblast growth factor 21 and dietary interventions: what we know and what we need to know next
Jin, T. (2022) · Medical Review · doi:10.1515/mr-2022-0019 · Cited by 8
Huang, Y., Zhang, Y., Yang, N., Qian, Z., Fang, Z., Zeng, L., Huang, Y., Li, H., Luo, M., Yan, J., et al. (2024) · GeroScience · doi:10.1007/s11357-024-01463-y · Cited by 8
Hua, L., Zhao, L., Mao, Z., Li, W., Li, J., Jiang, X., Che, L., Xu, S., Lin, Y., Fang, Z., et al. (2021) · Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology · doi:10.1186/s40104-021-00564-4 · Cited by 9
The geometric framework: An approach for studying the impact of nutrition on healthy aging
Solon‐Biet, S. M., Wahl, D., Raubenheimer, D., Cogger, V. C., Couteur, D. G. L., & Simpson, S. J. (2018) · Drug Discovery Today Disease Models · doi:10.1016/j.ddmod.2019.03.002 · Cited by 8
Self-citationLü, P., Yang, G., Jiang, L., He, W., Wu, W., Qi, L., Shen, S., Rao, J., Zhang, P., Xue, Z., et al. (2020) · Experimental Biology and Medicine · doi:10.1177/1535370220976530 · Cited by 8
Li, X., Zheng, K., Gu, W., Hou, X., Guan, Y., Liu, L., Hou, L., Geng, J., & Song, G. (2023) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s410457 · Cited by 7
Vahid, F., Hajizadeghan, K., & Khodabakhshi, A. (2023) · Biomedicines · doi:10.3390/biomedicines11071845 · Cited by 8
Wu, C.-T., Larson, K. R., Sims, L. C., & Ryan, K. K. (2023) · Physiology & Behavior · doi:10.1016/j.physbeh.2023.114368 · Cited by 7
Fadhul, T., Park, S., Ali, H., Alsiraj, Y., Wali, J. A., Simpson, S. J., & Softic, S. (2024) · Nutrients · doi:10.3390/nu17010124 · Cited by 7
Self-citationNolte, W., Weikard, R., Albrecht, E., Hammon, H. M., & Kühn, C. (2021) · Genomics · doi:10.1016/j.ygeno.2021.12.004 · Cited by 7
High Fat Low Carbohydrate Diet Is Linked to CNS Autoimmunity Protection
Ni, D., Tan, J., Reyes, J. G. A., Senior, A. M., Andrews, C. J., Taitz, J., Potier‐Villette, C., Wishart, C. L., Spiteri, A. G., Piccio, L. M., et al. (2025) · Advanced Science · doi:10.1002/advs.202412236 · Cited by 6
Self-citationGehring, J., Azzout‐Marniche, D., Chaumontet, C., Piedcoq, J., Gaudichon, C., & Even, P. C. (2021) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00246.2021 · Cited by 7
Nutrigonometry III: curvature, area and differences between performance landscapes
Morimoto, J., Conceição, P., & Smoczyk, K. (2022) · Royal Society Open Science · doi:10.1098/rsos.221326 · Cited by 5
Juvenile protein restriction compresses sexual dimorphism in micePreprint
Joly, A., Rebiffé, L., Lambert, A., Caillon, E., Hughes, S., Gillet, B., Zergane, M., Rahioui, I., Silva, P. D., Rigaud, C., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.09.663702 · Cited by 5
Gut Microbiota Modulates Fgf21 Expression and Metabolic Phenotypes Induced by Ketogenic Diet
Wei, X., Lu, Y., & Hong, S. (2024) · Nutrients · doi:10.3390/nu16234028 · Cited by 5
Wang, T., Lin, H., Deng, Y., Chen, W., Xu, Y., Wang, L., Zhou, A.-J., Zhang, Y., Wang, Z., Jin, X., et al. (2025) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2025.109893 · Cited by 7
Dietary macronutrient content and energy intake in the mouse: hedonic or homeostatic override?
Simpson, S. J., Senior, A. M., Solon‐Biet, S. M., Couteur, D. G. L., & Raubenheimer, D. (2025) · Obesity · doi:10.1002/oby.24312 · Cited by 5
Self-citationGut-to-brain signaling restricts dietary protein intake during recovery from catabolic states
Jaschke, N., Luchsinger, J. R., Chen, Z., Wulfmeyer, V. C., de la Rosa, X., Hahn, O., Zhang, C., Bachtel, N. D., Cullen, J. L., Rachner, T. D., et al. (2025) · Cell · doi:10.1016/j.cell.2025.10.005 · Cited by 8
Yadao, D.-R. R., Mackenzie, S., & Bergdahl, A. (2018) · The Journal of Physiology · doi:10.1113/jp276274 · Cited by 5
Vankrunkelsven, W., Thiessen, S., Derde, S., Vervoort, E., Derese, I., Pintelon, I., Matheussen, H., Jans, A., Goossens, C., Langouche, L., et al. (2023) · Skeletal Muscle · doi:10.1186/s13395-023-00320-4 · Cited by 5
LC-N2G: a local consistency approach for nutrigenomics data analysis
Xu, X., Solon‐Biet, S. M., Senior, A. M., Raubenheimer, D., Simpson, S. J., Fontana, L., Mueller, S., & Yang, J. Y. H. (2020) · BMC Bioinformatics · doi:10.1186/s12859-020-03861-3 · Cited by 5
Self-citationThe hallmarks of protein and amino acid restriction in aging and longevity
Knopf, B. A., & Lamming, D. W. (2026) · Cell Press Blue · doi:10.1016/j.cpblue.2026.100079 · Cited by 4
Vaezi, S., Freeling, J., de Vargas, B. O., Weidauer, L. A., Shoemaker, M. E., Sanders, W. M., & Dey, M. (2025) · Clinical Nutrition · doi:10.1016/j.clnu.2025.10.010 · Cited by 4
Illiano, J., Green, C. L., Chao, A., Zhu, G., Lopez, L., Schaepkens, O., Jang, C., Lamming, D. W., & Harris, D. A. (2025) · Cell Reports Medicine · doi:10.1016/j.xcrm.2025.102471 · Cited by 4
Post, A., Dam, W., Groothof, D., Franssen, C. F. M., Bakker, S. J. L., & Dullaart, R. P. F. (2025) · Journal of Internal Medicine · doi:10.1111/joim.20099 · Cited by 4
Godoy-Lugo, J. A., Young, K. E., Vaddi, P., Batamack, Y., Aldridge, J., Fernandez‐Kim, S. O., Albarado, D. C., Burke, S. J., Stephens, J. M., Morrison, C. D., et al. (2025) · GeroScience · doi:10.1007/s11357-025-01853-w · Cited by 4
Self-citationNutrigonometry IV: Thales’ theorem to measure the rules of dietary compromise in animals
Morimoto, J. (2023) · Scientific Reports · doi:10.1038/s41598-023-34722-7 · Cited by 3
Sholl, J., & Raubenheimer, D. (2023) · The British Journal for the Philosophy of Science · doi:10.1086/728785 · Cited by 4
Self-citationEcology, Protein Leverage, and Public Health
Raubenheimer, D., & Simpson, S. J. (2022) · Wiley eBooks · doi:10.1002/9781119695257.ch6 · Cited by 3
Self-citationZhang, X., Li, Z., Wang, S., & Chen, Y. (2025) · Nutrients · doi:10.3390/nu17071179 · Cited by 2
Lail, H. L., Lawrence, R. C., Pinheiro, F., Price, E., & Wanders, D. (2026) · PLoS ONE · doi:10.1371/journal.pone.0343503 · Cited by 2
Fibroblast Growth Factor 21 as a Regulator of Energy Metabolism in the Liver and Adipose Tissue
Matikainen, N., & Söderlund, S. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-816093-0.00013-6 · Cited by 2
Chiu, L.-T., Hung, C.-D., Lin, L., Lin, Y., & Hsu, B. (2022) · International Journal of Hypertension · doi:10.1155/2022/7098458 · Cited by 2
Fadhul, T., Park, S., Ali, H., Alsiraj, Y., Wali, J. A., Simpson, S. J., & Softic, S. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.11.26.625441 · Cited by 2
Self-citationThe myokine FGF21 associates with enhanced survival in ALS and mitigates stress-induced cytotoxicity
Guha, A., Si, Y., Smith, R., Singh, B. K., Zogu, B., Yadav, A., Smith, K. A., Kazamel, M., Jiang, N., Ho, R., et al. (2025) · Aging · doi:10.18632/aging.206298 · Cited by 3
Wang, Z., Wang, L., Hou, Y.-C., Zhang, X., Tian, H., & Huang, J.-H. (2025) · Food Bioscience · doi:10.1016/j.fbio.2025.107987 · Cited by 1
Macronutrient mixtures and interactions in health and disease
Simpson, S. J., Couteur, D. G. L., Small, L., Brandon, A. E., & Raubenheimer, D. (2026) · Nature Reviews Endocrinology · doi:10.1038/s41574-026-01266-5 · Cited by 1
Self-citationWali, J. A., Ramos-Nieves, J. M., Binia, A., & van der Beek, E. M. (2026) · Advances in Nutrition · doi:10.1016/j.advnut.2026.100713 · Cited by 1
Self-citationA Framework for Uncovering the Roles of Calories and Macronutrients in Health and Aging
Solon‐Biet, S. M., Wahl, D., Raubenheimer, D., Couteur, D. G. L., Simpson, S. J., & Cogger, V. C. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-811353-0.00008-7 · Cited by 1
Self-citationModeling nutrition and brain aging in rodents
Wahl, D., Gokarn, R., Solon‐Biet, S. M., Cogger, V. C., LaRocca, T. J., Raubenheimer, D., Simpson, S. J., & Couteur, D. G. L. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-818000-6.00046-9 · Cited by 1
Self-citationOliveira‐Santos, A. A., Salvatori, R., Bueno, A. C., Nogueira, M. C., Campos, V. C., Melo, M. A., Oliveira, C. R. P., Barros-Oliveira, C. S., Marinho, C. G., Damascena, N. P., et al. (2021) · Endocrine · doi:10.1007/s12020-021-02700-6 · Cited by 1
Larson, K. R., Jayakrishnan, D., Sauza, K. A. S., Goodson, M. L., CHAFFIN, A. T. B., Davidyan, A., Pathak, S. J., Fang, Y., Magaña, D. G., Miller, B. F., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.06.27.546599 · Cited by 1
The myokine FGF21 associates with enhanced survival in ALS and mitigates stress-induced cytotoxicityPreprint
Guha, A., Si, Y., Smith, R., Kazamel, M., Jiang, N., Smith, K. A., Thalacker‐Mercer, A. E., Singh, B. K., Ho, R., Andrabi, S. A., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.11.611693 · Cited by 1
Leptin deficient rats develop nonalcoholic steatohepatitis with unique disease progressionPreprint
Lü, P., Yang, G., He, W., Wu, W., Qi, L., Shen, S., Rao, J., Fan, G., Xue, Z., Zhang, P., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/594978
Regulation of Energy Balance by Dietary Protein
Zapata, R. C. (2018) · Libraries and Cultural Resources (University of Calgary) · doi:10.11575/prism/32820
Harrison, T., McCullough, D., Lane, K. E., Boddy, L. M., Stewart, C. E., Enright, K. J., Amirabdollahian, F., Schmidt, M., & Davies, I. G. (2018) · Proceedings of The Nutrition Society · doi:10.1017/s0029665118002148
Restriction of essential amino acids dictates the systemic response to dietary protein dilutionPreprint
Yap, Y. W., Rusu, P. M., Chan, A. Y., Fam, B. C., Jungmann, A., Solon‐Biet, S. M., Barlow, C. K., Creek, D. J., Huang, C., Schittenhelm, R. B., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/848143
Self-citationWu, C.-T., Larson, K. R., Sims, L. C., & Ryan, K. K. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.07.07.547884
Бажан, Н. М., & En, M. (2023) · Успехи физиологических наук · doi:10.31857/s0301179823040033
Gunanegara, R. F., Dewanto, A., & Sunarti, S. (2024) · Malaysian Journal of Nutrition · doi:10.31246/mjn-2024-0012
Shahzil, M., Hasan, F., Kazmi, S. K., Gangwani, M. K., Shabbar, U.-E.-S., Chaudhary, A. J., Khaqan, M. A., Faisal, M. S., Williams, K. N., Mohan, B. P., et al. (2025) · JGH Open · doi:10.1002/jgh3.70131
Hunger and satiety: Linking mechanisms, behavior, ecology and evolution
Raubenheimer, D., & Simpson, S. J. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-29068-8.00088-x
Self-citation
Metadata
- Authors
- Solon-Biet, S. M., Cogger, V. C., Pulpitel, T., Heblinski, M., Wahl, D., McMahon, A. C., Warren, A., Durrant-Whyte, J., Walters, K. A., Krycer, J. R., Ponton, F., Gokarn, R., Wali, J. A., Ruohonen, K., Conigrave, A. D., James, D. E., Raubenheimer, D., Morrison, C. D., Le Couteur, D. G., & Simpson, S. J.
- Affiliations
- The University of Sydney (AU)
- Pennington Biomedical Research Center (US)
- Corresponding author
- Simpson, Stephen J.
- ORCID
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2016-10
- Volume
- 24
- Issue
- 4
- Pages
- 555-565
- ISSN
- 1550-4131 (ISSN-L)
- OpenAlex
- W2526341840
- Cited by
- 212
- References
- 63
- Citations by year
- 2026: 7 · 2025: 22 · 2024: 21 · 2023: 20 · 2022: 29 · 2021: 21 · 2020: 20 · 2019: 24 · 2018: 22 · 2017: 24 · 2016: 2
- FWCI
- 12.48
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Health and Medical Research Council (NHMRC) of Australia (571328, 571408)
- Ageing and Alzheimers Institute (AAAI) of Concord Hospital
- Australian Research Council (160101119)
- National Medical Health and Research Council of Australia (1110098)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fibroblast Growth Factor Research
- Health Sciences › Medicine › Physiology (medical) › Dietary Effects on Health
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Regulation of Appetite and Obesity
- Keywords
- FGF21, protein restriction, geometric framework, dietary protein, carbohydrate intake, fasting, overfeeding, hyperphagia, starvation, ketogenic diet, high-carbohydrate diet
- MeSH terms
- Uncoupling Protein 1, Animals, Animal Nutritional Physiological Phenomena, Appetite, Dietary Proteins, Energy Metabolism, Female, Fibroblast Growth Factors, Gene Expression Regulation, Glucose, Insulin-Like Growth Factor I, Male, Mice, Inbred C57BL, Models, Biological, Phenotype, Activating Transcription Factors
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review