The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Inhibition of Notch uncouples Akt activation from hepatic lipid accumulation by decreasing mTorc1 stability
Open accessAbstract
Increased hepatic lipid content is an early correlate of insulin resistance and can be caused by nutrient-induced activation of mammalian target of rapamycin (mTor). This activation of mTor increases basal Akt activity, leading to a self-perpetuating lipogenic cycle. We have previously shown that the developmental Notch pathway has metabolic functions in adult mouse liver. Acute or chronic inhibition of Notch dampens hepatic glucose production and increases Akt activity and may therefore be predicted to increase hepatic lipid content. Here we now show that constitutive liver-specific ablation of Notch signaling, or its acute inhibition with a decoy Notch1 receptor, prevents hepatosteatosis by blocking mTor complex 1 (mTorc1) activity. Conversely, Notch gain of function causes fatty liver through constitutive activation of mTorc1, an effect that is reversible by treatment with rapamycin. We demonstrate that Notch signaling increases mTorc1 complex stability, augmenting mTorc1 function and sterol regulatory element binding transcription factor 1c (Srebp1c)-mediated lipogenesis. These data identify Notch as a therapeutically actionable branch point of metabolic signaling at which Akt activation in the liver can be uncoupled from hepatosteatosis.
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
AMPK Phosphorylation of Raptor Mediates a Metabolic Checkpoint
Gwinn, D. M., Shackelford, D. B., Egan, D. F., Mihaylova, M. M., Mery, A., Vasquez, D. S., Turk, B. E., & Shaw, R. J. (2008) · Molecular Cell · doi:10.1016/j.molcel.2008.03.003 · Cited by 3,849
mTOR and cancer: insights into a complex relationship
Sabatini, D. M. (2006) · Nature Reviews Cancer · doi:10.1038/nrc1974 · Cited by 1,322
Peterson, T. R., Laplante, M., Thoreen, C. C., Sancak, Y., Kang, S. A., Kuehl, W. M., Gray, N. S., & Sabatini, D. M. (2009) · Cell · doi:10.1016/j.cell.2009.03.046 · Cited by 1,202
Rapamycin-Induced Insulin Resistance Is Mediated by mTORC2 Loss and Uncoupled from Longevity
Lamming, D. W., Ye, L., Katajisto, P., Goncalves, M. D., Saitoh, M., Stevens, D. M., Davis, J. G., Salmon, A. B., Richardson, A., Ahima, R. S., et al. (2012) · Science · doi:10.1126/science.1215135 · Cited by 1,199
Li, S., Brown, M. S., & Goldstein, J. L. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0914798107 · Cited by 733
Houde, V. P., Brûlé, S., Festuccia, W. T., Blanchard, P.-G., Bellmann, K., Deshaies, Y., & Marette, A. (2010) · Diabetes · doi:10.2337/db09-1324 · Cited by 456
Hepatic Hdac3 promotes gluconeogenesis by repressing lipid synthesis and sequestration
Sun, Z., Miller, R. A., Patel, R. T., Chen, J., Dhir, R., Wang, H., Zhang, D., Graham, M. J., Unterman, T. G., Shulman, G. I., et al. (2012) · Nature Medicine · doi:10.1038/nm.2744 · Cited by 335
A Foxo/Notch pathway controls myogenic differentiation and fiber type specification
Kitamura, T., Kitamura, Y. I., Funahashi, Y., Shawber, C. J., Castrillon, D. H., Kollipara, R., DePinho, R. A., Kitajewski, J., & Accili, D. (2007) · Journal of Clinical Investigation · doi:10.1172/jci32054 · Cited by 285
Self-citation
Cited by
SREBP-regulated lipid metabolism: convergent physiology - divergent pathophysiology
Shimano, H., & Sato, R. (2017) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2017.91 · Cited by 1,174
Making new contacts: the mTOR network in metabolism and signalling crosstalk
Shimobayashi, M., & Hall, M. N. (2014) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3757 · Cited by 1,053
Biochemical and cellular properties of insulin receptor signalling
Haeusler, R. A., McGraw, T. E., & Accili, D. (2018) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2017.89 · Cited by 739
Self-citationMechanisms of Fibrosis Development in Nonalcoholic Steatohepatitis
Schwabe, R. F., Tabas, I., & Pajvani, U. B. (2020) · Gastroenterology · doi:10.1053/j.gastro.2019.11.311 · Cited by 671
Self-citationType 2 diabetes mellitus in adults: pathogenesis, prevention and therapy
Lu, X., Xie, Q., Pan, X., Zhang, R., Zhang, X., Peng, G., Zhang, Y., Shen, S., & Tong, N. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01951-9 · Cited by 665
Metadata
- Authors
- Pajvani, U. B., Qiang, L., Kangsamaksin, T., Kitajewski, J., Ginsberg, H. N., & Accili, D.
- Venue
- Nature Medicine
- Published
- 2013-07-07
- Volume
- 19
- Issue
- 8
- Pages
- 1054-1060
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- OpenAlex
- W2087524781
- Cited by
- 168
- References
- 8
- FWCI
- 6.99
- 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.
