The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.
FGF21 Is a Sugar-Induced Hormone Associated with Sweet Intake and Preference in Humans
Open accessAbstract
The liking and selective ingestion of palatable foods-including sweets-is biologically controlled, and dysfunction of this regulation may promote unhealthy eating, obesity, and disease. The hepatokine fibroblast growth factor 21 (FGF21) reduces sweet consumption in rodents and primates, whereas knockout of Fgf21 increases sugar consumption in mice. To investigate the relevance of these findings in humans, we genotyped variants in the FGF21 locus in participants from the Danish Inter99 cohort (n = 6,514) and examined their relationship with a detailed range of food and ingestive behaviors. This revealed statistically significant associations between FGF21 rs838133 and increased consumption of candy, as well as nominal associations with increased alcohol intake and daily smoking. Moreover, in a separate clinical study, plasma FGF21 levels increased acutely after oral sucrose ingestion and were elevated in fasted sweet-disliking individuals. These data suggest the liver may secrete hormones that influence eating behavior.
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
“These single-nucleotide polymorphisms are also associated with increases in sweet-taste preference119 and greater waist-to-hip ratios120.”
From Metabolic messengers: FGF21 (2021) · cites this paper as [119]
In the citing paper
“Although variants around the FGF21 locus are associated with changes in macronutrient intake, they are not associated with obesity or type 2 diabetes (120).”
From Fibroblast Growth Factor 21: A Versatile Regulator of Metabolic Homeostasis (2018) · cites this paper as [120]
In the citing paper
“As was observed with increased carbohydrate intake (20, 127), statistically significant associations were identified between the FGF21 rs838133 allele and increased candy consumption (120).”
From Fibroblast Growth Factor 21: A Versatile Regulator of Metabolic Homeostasis (2018) · cites this paper as [120]
In the citing paper
“FGF21 also regulates sweet taste preference in primates and humans.”
From Fibroblast Growth Factor 21: A Versatile Regulator of Metabolic Homeostasis (2018) · cites this paper as [120]
In the citing paper
“A third report also identified SNPs at the FGF21 locus associating with a preference for sweets (120).”
From Fibroblast Growth Factor 21: A Versatile Regulator of Metabolic Homeostasis (2018) · cites this paper as [120]
In the citing paper
“another nutritional intervention was shown to robustly increase FGF21: alcohol consumption. Ample evidence, in both rodents and humans, demonstrates that ethanol intake increases FGF21 production, largely by the liver”
From FGF21 and the physiological regulation of macronutrient preference (2020) · cites this paper as [166]
In the citing paper
“Additional studies have since supported this relationship between FGF21 and macronutrient intake, including associations with alcohol intake”
From FGF21 and the physiological regulation of macronutrient preference (2020) · cites this paper as [166]
In the citing paper
“FGF21 sequence variants are linked with alterations in macronutrient preference and alcohol intake in humans”
From FGF21 and the physiological regulation of macronutrient preference (2020) · cites this paper as [166]
Citations
Cites
Genetic studies of body mass index yield new insights for obesity biology
Study, T. L. C., Locke, A. E., The ADIPOGen Consortium, The AGEN-BMI Working Group, The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The, G. L. G. C., The, I. C. B. P., The MAGIC Investigators, The MuTHER Consortium, et al. (2015) · Nature · doi:10.1038/nature14177 · Cited by 4,534
Mozaffarian, D. (2016) · Circulation · doi:10.1161/circulationaha.115.018585 · Cited by 2,216 · cited 2×
“Health is influenced by diet composition as well as total energy consumption (Mozaffarian, 2016; Solon-Biet et al., 2014).”
BackgroundFGF-21 as a novel metabolic regulator
Kharitonenkov, A., Shiyanova, T. L., Koester, A., Ford, A. M., Micanovic, R., Galbreath, E. J., Sandusky, G. E., Hammond, L. J., Moyers, J. S., Owens, R. A., et al. (2005) · Journal of Clinical Investigation · doi:10.1172/jci23606 · Cited by 2,125
the DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Morris, A. P., Voight, B. F., Teslovich, T. M., Ferreira, T., Segrè, A. V., Steinthorsdottir, V., Strawbridge, R. J., Khan, H., Grallert, H., et al. (2012) · Nature Genetics · doi:10.1038/ng.2383 · Cited by 1,912
New genetic loci link adipose and insulin biology to body fat distribution
The ADIPOGen Consortium, Shungin, D., The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The GEFOS Consortium, The GENIE Consortium, The, G. L. G. C., The, I. C. B. P., The International Endogene Consortium, Study, T. L. C., et al. (2015) · Nature · doi:10.1038/nature14132 · Cited by 1,580
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
Genome-wide meta-analyses identify multiple loci associated with smoking behavior
The Tobacco and Genetics Consortium (2010) · Nature Genetics · doi:10.1038/ng.571 · Cited by 1,098
Understanding the Physiology of FGF21
Fisher, F. M., & Maratos-Flier, E. (2016) · Annual Review of Physiology · doi:10.1146/annurev-physiol-021115-105339 · Cited by 912
Zhang, 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
Cited by
Sorted by citations
Physical activity and muscle-brain crosstalk
Pedersen, B. K. (2019) · Nature Reviews Endocrinology · doi:10.1038/s41574-019-0174-x · Cited by 772
Risk factors and prevention of hepatocellular carcinoma in the era of precision medicine
Fujiwara, N., Friedman, S. L., Goossens, N., & Hoshida, Y. (2018) · Journal of Hepatology · doi:10.1016/j.jhep.2017.09.016 · Cited by 659
Artificial sweeteners and cancer risk: Results from the NutriNet-Santé population-based cohort study
Debras, C., Chazelas, E., Srour, B., Druesne-Pecollo, N., Esseddik, Y., Szabo de Edelenyi, F., Agaësse, C., De Sa, A., Lutchia, R., Gigandet, S., et al. (2022) · PLOS Medicine · doi:10.1371/journal.pmed.1003950 · Cited by 333
“, the rs838133 variant of hepatokine fibroblast growth factor 21 [61]) could be integrated into a polygenic score that could be used as part of a Mendelian randomization study.”
MethodFlippo, K. H., & Potthoff, M. J. (2021) · Nature Metabolism · doi:10.1038/s42255-021-00354-2 · Cited by 311
Self-citationSupra-Additive Effects of Combining Fat and Carbohydrate on Food Reward
DiFeliceantonio, A. G., Coppin, G., Rigoux, L., Thanarajah, S. E., Dagher, A., Tittgemeyer, M., & Small, D. M. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.05.018 · Cited by 302
Metadata
- Authors
- Søberg, S., Sandholt, C. H., Jespersen, N. Z., Toft, U., Madsen, A. L., von Holstein-Rathlou, S., Grevengoed, T. J., Christensen, K. B., Bredie, W. L. P., Potthoff, M. J., Solomon, T. P. J., Scheele, C., Linneberg, A., Jørgensen, T., Pedersen, O., Hansen, T., Gillum, M. P., & Grarup, N.
- Affiliations
- University of Copenhagen (DK)
- Capital Region of Denmark (DK)
- University of Iowa (US)
- University of Birmingham (GB)
- Corresponding author
- Gillum, Matthew P.
- Grarup, Niels
- ORCID
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2017-05
- Volume
- 25
- Issue
- 5
- Pages
- 1045-1053.e6
- ISSN
- 1550-4131 (ISSN-L)
- OpenAlex
- W2611671707
- Cited by
- 216
- References
- 66
- Citations by year
- 2026: 16 · 2025: 14 · 2024: 18 · 2023: 20 · 2022: 25 · 2021: 33 · 2020: 33 · 2019: 23 · 2018: 19 · 2017: 13
- FWCI
- 9.83
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell Metabolism (publishedVersion)
- PubMed (publishedVersion)
- University of Southern Denmark Research Portal (University of Southern Denmark) (publishedVersion, other-oa)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
- VBN Forskningsportal (Aalborg Universitet) (submittedVersion)
- Funders
- TrygFonden
- Novo Nordisk Fonden (NNF15CC0018486)
- Novo Nordisk Foundation Center for Basic Metabolic Research
- Strategiske Forskningsråd (09 – 067009, 09 – 075724)
- Danmarks Frie Forskningsfond (4092-00240B)
- Danmarks Grundforskningsfond (DNRF55)
- 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, hepatokines, sugar consumption, sweet taste preference, food liking, sucrose intake, alcohol consumption, smoking, genetic variants, dietary habits, obesity, liver hormone
- MeSH terms
- Sugars, Adult, Appetite, Appetite Regulation, Candy, Female, Fibroblast Growth Factors, Food Preferences, Genotype, Humans, Male, Obesity, Polymorphism, Genetic, Taste, Cohort Studies, Young Adult
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