The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Remodeling of the arcuate nucleus energy-balance circuit is inhibited in obese mice
Open accessAbstract
In the CNS, the hypothalamic arcuate nucleus (ARN) energy-balance circuit plays a key role in regulating body weight. Recent studies have shown that neurogenesis occurs in the adult hypothalamus, revealing that the ARN energy-balance circuit is more plastic than originally believed. Changes in diet result in altered gene expression and neuronal activity in the ARN, some of which may reflect hypothalamic plasticity. To explore this possibility, we examined the turnover of hypothalamic neurons in mice with obesity secondary to either high-fat diet (HFD) consumption or leptin deficiency. We found substantial turnover of neurons in the ARN that resulted in ongoing cellular remodeling. Feeding mice HFD suppressed neurogenesis, as demonstrated by the observation that these mice both generated fewer new neurons and retained more old neurons. This suppression of neuronal turnover was associated with increased apoptosis of newborn neurons. Leptin-deficient mice also generated fewer new neurons, an observation that was explained in part by a loss of hypothalamic neural stem cells. These data demonstrate that there is substantial postnatal turnover of the arcuate neuronal circuitry in the mouse and reveal the unexpected capacity of diet and leptin deficiency to inhibit this neuronal remodeling. This insight has important implications for our understanding of nutritional regulation of energy balance and brain function.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Positional cloning of the mouse obese gene and its human homologue
Zhang, Y., Proenca, R., Maffei, M., Barone, M., Leopold, L., & Friedman, J. M. (1994) · Nature · doi:10.1038/372425a0 · Cited by 13,419
Central nervous system control of food intake and body weight
Morton, G. J., Cummings, D. E., Baskin, D. G., Barsh, G. S., & Schwartz, M. W. (2006) · Nature · doi:10.1038/nature05026 · Cited by 2,503
Frederich, R. C., Hamann, A., Anderson, S., Löllmann, B., Lowell, B. B., & Flier, J. S. (1995) · Nature Medicine · doi:10.1038/nm1295-1311 · Cited by 1,660
Self-citationCerebrospinal fluid leptin levels: Relationship to plasma levels and to adiposity in humans
Schwartz, M. W., Peskind, E., Raskind, M., Boyko, E. J., & Porte, D. (1996) · Nature Medicine · doi:10.1038/nm0596-589 · Cited by 1,014
Brain-derived neurotrophic factor regulates energy balance downstream of melanocortin-4 receptor
Xu, B., Goulding, E. H., Zang, K., Cepoi, D., Cone, R. D., Jones, K. R., Tecott, L. H., & Reichardt, L. F. (2003) · Nature Neuroscience · doi:10.1038/nn1073 · Cited by 896
Two defects contribute to hypothalamic leptin resistance in mice with diet-induced obesity
El-Haschimi, K., Pierroz, D. D., Hileman, S. M., Bjørbæk, C., & Flier, J. S. (2000) · Journal of Clinical Investigation · doi:10.1172/jci9842 · Cited by 887
Self-citationMori, H., Hanada, R., Hanada, T., Aki, D., Mashima, R., Nishinakamura, H., Torisu, T., Chien, K. R., Yasukawa, H., & Yoshimura, A. (2004) · Nature Medicine · doi:10.1038/nm1071 · Cited by 651
Neuronal PTP1B regulates body weight, adiposity and leptin action
Bence, K. K., Delibegovic, M., Xue, B., Gorgun, C. Z., Hotamisligil, G. S., Neel, B. G., & Kahn, B. B. (2006) · Nature Medicine · doi:10.1038/nm1435 · Cited by 633
Cited by
Hypothalamic stem cells control ageing speed partly through exosomal miRNAs
Zhang, Y., Kim, M. S., Jia, B., Yan, J., Zuniga-Hertz, J. P., Han, C., & Cai, D. (2017) · Nature · doi:10.1038/nature23282 · Cited by 564
Regulation of lipid stores and metabolism by lipophagy
Liu, K., & Czaja, M. J. (2013) · Cell Death & Differentiation · doi:10.1038/cdd.2012.63 · Cited by 542
Hypothalamic inflammation in obesity and metabolic disease
Jais, A., & Brüning, J. C. (2017) · Journal of Clinical Investigation · doi:10.1172/jci88878 · Cited by 474
Robins, S. C., Stewart, I., McNay, D. E., Taylor, V., Giachino, C., Goetz, M., Ninkovic, J., Briancon, N., Maratos-Flier, E., Flier, J. S., et al. (2013) · Nature Communications · doi:10.1038/ncomms3049 · Cited by 306
Self-citationNeuroinflammation and neurodegeneration in overnutrition-induced diseases
Cai, D. (2013) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2012.11.003 · Cited by 256
Inhibiting microglia expansion prevents diet-induced hypothalamic and peripheral inflammation
André, C., Guzman-Quevedo, O., Rey, C., Rémus-Borel, J., Clark, S., Castellanos-Jankiewicz, A., Ladeveze, E., Leste-Lasserre, T., Nadjar, A., Abrous, D. N., et al. (2017) · Diabetes · doi:10.2337/db16-0586 · Cited by 182
Brain regulation of energy balance and body weight
Rui, L. (2013) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-013-9261-9 · Cited by 168
C. Vaughn, A., M. Cooper, E., M. DiLorenzo, P., J. O’Loughlin, L., E. Konkel, M., H. Peters, J., Hajnal, A., Sen, T., Hye Lee, S., B. de La Serre, C., et al. (2017) · Acta Neurobiologiae Experimentalis · doi:10.21307/ane-2017-033 · Cited by 166
Bouret, S., Levin, B. E., & Ozanne, S. E. (2015) · Physiological Reviews · doi:10.1152/physrev.00007.2014 · Cited by 157
Obesity: pathophysiology and therapeutic interventions
Kong, Y., Yang, H., Nie, R., Zhang, X., Zuo, F., Zhang, H., & Nian, X. (2025) · Molecular Biomedicine · doi:10.1186/s43556-025-00264-9 · Cited by 89
Furube, E., Morita, M., & Miyata, S. (2015) · Cell and Tissue Research · doi:10.1007/s00441-015-2201-0 · Cited by 47
Exercise, obesity and CNS control of metabolic homeostasis: a review
Smith, J. K. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.00574 · Cited by 40
Metadata
- Authors
- McNay, D. E. G., Briançon, N., Kokoeva, M. V., Maratos-Flier, E., & Flier, J. S.
- Venue
- Journal of Clinical Investigation
- Published
- 2012-01-03
- Volume
- 122
- Issue
- 1
- Pages
- 142-152
- ISSN
- 0021-9738 (ISSN-L)
- OpenAlex
- W2156796753
- Cited by
- 316
- References
- 8
- FWCI
- 11.06
- Type
- journal article
- Language
- en
- Open access
- green
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
