The DOI matches its Crossref record; 253 of the 255 references it cites were found in a registry or an index.
Brain insulin signalling in metabolic homeostasis and disease
Abstract
Insulin signalling in the central nervous system regulates energy homeostasis by controlling metabolism in several organs and by coordinating organ crosstalk. Studies performed in rodents, non-human primates and humans over more than five decades using intracerebroventricular, direct hypothalamic or intranasal application of insulin provide evidence that brain insulin action might reduce food intake and, more importantly, regulates energy homeostasis by orchestrating nutrient partitioning. This Review discusses the metabolic pathways that are under the control of brain insulin action and explains how brain insulin resistance contributes to metabolic disease in obesity, the metabolic syndrome and type 2 diabetes mellitus.
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
“Over the last decade, the brain was characterized as an insulin-sensitive organ1.”
From Brain insulin action on peripheral insulin sensitivity in women depends on menstrual cycle phase (2023) · cites this paper as [1]
In the citing paper
“Insulin action in the human brain modulates eating behaviour, whole-body metabolism and body fat distribution1,2.”
From Brain insulin action on peripheral insulin sensitivity in women depends on menstrual cycle phase (2023) · cites this paper as [1]
In the citing paper
“acts in specialized neurons and glia cells1”
From Brain insulin action on peripheral insulin sensitivity in women depends on menstrual cycle phase (2023) · cites this paper as [1]
In the citing paper
“The most prominent phenotype linked to human brain insulin resistance is obesity1”
From Brain insulin action on peripheral insulin sensitivity in women depends on menstrual cycle phase (2023) · cites this paper as [1]
In the citing paper
“Insulin receptors are highly expressed in the brain, not only in the hypothalamus, olfactory bulb, hippocampus, and striatum, but also in cerebral cortex, and cerebellum.175”
From The blood–brain barrier: Structure, regulation and drug delivery (2023) · cites this paper as [175]
Citations
Cites
Brown Adipose Tissue: Function and Physiological Significance
CANNON, B., & NEDERGAARD, J. (2004) · Physiological Reviews · doi:10.1152/physrev.00015.2003 · Cited by 6,433
Iliff, J. J., Wang, M., Liao, Y., Plogg, B. A., Peng, W., Gundersen, G. A., Benveniste, H., Vates, G. E., Deane, R., Goldman, S. A., et al. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3003748 · Cited by 5,824
What we can do and what we cannot do with fMRI
Logothetis, N. K. (2008) · Nature · doi:10.1038/nature06976 · Cited by 3,612
Newgard, C. B., An, J., Bain, J. R., Muehlbauer, M. J., Stevens, R. D., Lien, L. F., Haqq, A. M., Shah, S. H., Arlotto, M., Slentz, C. A., et al. (2009) · Cell Metabolism · doi:10.1016/j.cmet.2009.02.002 · Cited by 3,165
Metabolite profiles and the risk of developing diabetes
Wang, T. J., Larson, M. G., Vasan, R. S., Cheng, S., Rhee, E. P., McCabe, E., Lewis, G. D., Fox, C. S., Jacques, P. F., Fernandez, C., et al. (2011) · Nature Medicine · doi:10.1038/nm.2307 · Cited by 3,143
Antibiotic resistance is ancient
D’Costa, V. M., King, C. E., Kalan, L., Morar, M., Sung, W. W. L., Schwarz, C., Froese, D., Zazula, G., Calmels, F., Debruyne, R., et al. (2011) · Nature · doi:10.1038/nature10388 · Cited by 2,720
Role of Brain Insulin Receptor in Control of Body Weight and Reproduction
Brüning, J. C., Gautam, D., Burks, D. J., Gillette, J., Schubert, M., Orban, P. C., Klein, R., Krone, W., Müller-Wieland, D., & Kahn, C. R. (2000) · Science · doi:10.1126/science.289.5487.2122 · Cited by 2,235
Sniffing neuropeptides: A transnasal approach to the human brain
Born, J., Lange, T., Kern, W., McGregor, G. P., Bickel, U., & Fehm, H. L. (2002) · Nature Neuroscience · doi:10.1038/nn0602-849 · Cited by 1,356
Hypothalamic IKKβ/NF-κB and ER Stress Link Overnutrition to Energy Imbalance and Obesity
Zhang, X., Zhang, G., Zhang, H., Karin, M., Bai, H., & Cai, D. (2008) · Cell · doi:10.1016/j.cell.2008.07.043 · Cited by 1,350
Mechanism of hepatic insulin resistance in non-alcoholic fatty liver disease
Samuel, V. T., Liu, Z.-X., Qu, X., Elder, B. D., Bilz, S., Befroy, D., Romanelli, A. J., & Shulman, G. I. (2004) · Journal of Biological Chemistry · doi:10.1074/jbc.m313478200 · Cited by 1,322
Research works printed but not linked: 1
- Blinkow, S. & Glezer, I. in The Human Brain in Figures and Tables (ed. Blinkow, F. G.) 237–253 (Plenum Press, 1968).
Cited by
Sorted by citations
The blood–brain barrier: Structure, regulation and drug delivery
Wu, D., Chen, Q., Chen, X., Han, F., Chen, Z., & Wang, Y. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01481-w · Cited by 1,906
“175 Insulin could bind to the α -subunits of insulin receptors which locate outside of the cells, inducing the β -subunits which locate in the inside of the cells 176 When compared to insulin, insulin-like growth factor 1 (IGF1) showed relative lower binding af fi nity to insulin receptors.”
BackgroundDewanjee, S., Chakraborty, P., Bhattacharya, H., Chacko, L., Singh, B., Chaudhary, A., Javvaji, K., Pradhan, S. R., Vallamkondu, J., Dey, A., et al. (2022) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2022.09.032 · Cited by 243
Lima, J. E. B. F., Moreira, N. C. S., & Sakamoto-Hojo, E. T. (2022) · Mutation Research/Genetic Toxicology and Environmental Mutagenesis · doi:10.1016/j.mrgentox.2021.503437 · Cited by 203
Insulin resistance in depression: A large meta-analysis of metabolic parameters and variation
Fernandes, B. S., Salagre, E., Enduru, N., Grande, I., Vieta, E., & Zhao, Z. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104758 · Cited by 175
Insulin resistance in ischemic stroke: Mechanisms and therapeutic approaches
Ding, P.-F., Zhang, H., Wang, J., Gao, Y., Mao, J.-N., Hang, C., & Li, W. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.1092431 · Cited by 143
Metadata
- Authors
- Scherer, T., Sakamoto, K., & Buettner, C.
- Affiliations
- Medical University of Vienna (AT)
- Rutgers, The State University of New Jersey (US)
- Corresponding author
- Scherer, Thomas
- Buettner, Christoph
- Venue
- Nature Reviews Endocrinology
- Published
- 2021-06-09
- Volume
- 17
- Issue
- 8
- Pages
- 468-483
- ISSN
- 1759-5029 (ISSN-L)
- 1759-5037
- OpenAlex
- W3167467420
- Cited by
- 205
- References
- 255
- Citations by year
- 2026: 38 · 2025: 36 · 2024: 61 · 2023: 35 · 2022: 30 · 2021: 5
- FWCI
- 4.15
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nature Reviews Endocrinology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Regulation of Appetite and Obesity
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Health Sciences › Medicine › Reproductive Medicine › Hypothalamic control of reproductive hormones
- Keywords
- insulin resistance, energy homeostasis, nutrient partitioning, food intake regulation, obesity, metabolic syndrome, type 2 diabetes, hypothalamus, intranasal insulin, organ crosstalk, metabolic disease treatment
- MeSH terms
- Animals, Brain, Diabetes Mellitus, Type 2, Energy Metabolism, Homeostasis, Humans, Insulin, Insulin Resistance, Metabolic Diseases, Signal Transduction, Metabolic Syndrome
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
