The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
ChREBP, a Transcriptional Regulator of Glucose and Lipid Metabolism
Abstract
Dysregulations in hepatic lipid synthesis are often associated with obesity and type 2 diabetes, and therefore a perfect understanding of the regulation of this metabolic pathway appears essential to identify potential therapeutic targets. Recently, the transcription factor ChREBP (carbohydrate-responsive element-binding protein) has emerged as a major mediator of glucose action on lipogenic gene expression and as a key determinant of lipid synthesis in vivo. Indeed, liver-specific inhibition of ChREBP improves hepatic steatosis and insulin resistance in obese ob/ob mice. Since ChREBP cellular localization is a determinant of its functional activity, a better knowledge of the mechanisms involved in regulating its nucleo-cytoplasmic shuttling and/or its post-translational activation is crucial in both physiology and physiopathology. Here, we review some of the studies that have begun to elucidate the regulation and function of this key transcription factor in liver.
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
Donnelly, K. L., Smith, C. I., Schwarzenberg, S. J., Jessurun, J., Boldt, M. D., & Parks, E. J. (2005) · Journal of Clinical Investigation · doi:10.1172/jci23621 · Cited by 3,604
Nonalcoholic Fatty Liver Disease
Marchesini, G., Brizi, M., Bianchi, G., Tomassetti, S., Bugianesi, E., Lenzi, M., McCullough, A. J., Natale, S., Forlani, G., & Melchionda, N. (2001) · Diabetes · doi:10.2337/diabetes.50.8.1844 · Cited by 2,581
Liang, G., Yang, J., Horton, J. D., Hammer, R. E., Goldstein, J. L., & Brown, M. S. (2002) · Journal of Biological Chemistry · doi:10.1074/jbc.m111421200 · Cited by 669
Abu-Elheiga, L., Oh, W., Kordari, P., & Wakil, S. J. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1733877100 · Cited by 389
Dentin, R. (2005) · Journal of Clinical Investigation · doi:10.1172/jci25256 · Cited by 315
Self-citationVaulont, S., Munnich, A., Decaux, J. F., & Kahn, A. (1986) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(19)57443-9 · Cited by 147
Cited by
Mechanisms of Insulin Action and Insulin Resistance
Petersen, M. C., & Shulman, G. I. (2018) · Physiological Reviews · doi:10.1152/physrev.00063.2017 · Cited by 3,028
Role of Bile Acids and Bile Acid Receptors in Metabolic Regulation
Lefebvre, P., Cariou, B., Lien, F., Kuipers, F., & Staels, B. (2009) · Physiological Reviews · doi:10.1152/physrev.00010.2008 · Cited by 1,678
Bile acid signaling in metabolic disease and drug therapy
Li, T., & Chiang, J. Y. L. (2014) · Pharmacological Reviews · doi:10.1124/pr.113.008201 · Cited by 935
The randle cycle revisited: a new head for an old hat.
Hue, L., & Taegtmeyer, H. (2009) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00093.2009 · Cited by 743
Kammoun, H. L., Chabanon, H., Hainault, I., Luquet, S., Magnan, C., Koike, T., Ferré, P., & Foufelle, F. (2009) · Journal of Clinical Investigation · doi:10.1172/jci37007 · Cited by 732
Stress, Inflammation, and Defense of Homeostasis
Chovatiya, R., & Medzhitov, R. (2014) · Molecular Cell · doi:10.1016/j.molcel.2014.03.030 · Cited by 704
Hyperinsulinemia Drives Diet-Induced Obesity Independently of Brain Insulin Production
Mehran, A. E., Templeman, N. M., Brigidi, G. S., Lim, G. E., Chu, K.-Y., Hu, X., Botezelli, J. D., Asadi, A., Hoffman, B. G., Kieffer, T. J., et al. (2012) · Cell Metabolism · doi:10.1016/j.cmet.2012.10.019 · Cited by 498
N-3 polyunsaturated fatty acid regulation of hepatic gene transcription
Jump, D. B. (2008) · Current Opinion in Lipidology · doi:10.1097/mol.0b013e3282ffaf6a · Cited by 443
AMP-activated protein kinase and its downstream transcriptional pathways
Cantó, C., & Auwerx, J. (2010) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-010-0454-z · Cited by 421
Nuclear Retention of mRNA in Mammalian Tissues
Bahar Halpern, K., Caspi, I., Lemze, D., Levy, M., Landen, S., Elinav, E., Ulitsky, I., & Itzkovitz, S. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.11.036 · Cited by 258
Stoltzman, C. A., Peterson, C. W., Breen, K. T., Muoio, D. M., Billin, A. N., & Ayer, D. E. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0712199105 · Cited by 283
The role of ChREBP in carbohydrate sensing and NAFLD development
Régnier, M., Carbinatti, T., Parlati, L., Benhamed, F., & Postic, C. (2023) · Nature Reviews Endocrinology · doi:10.1038/s41574-023-00809-4 · Cited by 101
Self-citationThe glucose-sensing transcription factor MLX promotes myogenesis via myokine signaling
Hunt, L. C., Xu, B., Finkelstein, D., Fan, Y., Carroll, P. A., Cheng, P.-F., Eisenman, R. N., & Demontis, F. (2015) · Genes & Development · doi:10.1101/gad.267419.115 · Cited by 64
Metadata
- Authors
- Postic, C., Dentin, R., Denechaud, P.-D., & Girard, J.
- Venue
- Annual Review of Nutrition
- Publisher
- Annual Reviews
- Published
- 2007-08-01
- Volume
- 27
- Issue
- 1
- Pages
- 179-192
- ISSN
- 0199-9885 (ISSN-L)
- 1545-4312
- OpenAlex
- W2139450675
- Cited by
- 283
- References
- 6
- FWCI
- 1.11
- Type
- journal article
- Language
- en
- Open access
- closed
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.