The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
A Molecular Basis for Insulin Resistance
Open accessAbstract
Tumor necrosis factor alpha (TNFalpha) or chronic hyperinsulinemia that induce insulin resistance trigger increased Ser/Thr phosphorylation of the insulin receptor (IR) and of its major insulin receptor substrates, IRS-1 and IRS-2. To unravel the molecular basis for this uncoupling in insulin signaling, we undertook to study the interaction of Ser/Thr-phosphorylated IRS-1 and IRS-2 with the insulin receptor. We could demonstrate that, similar to IRS-1, IRS-2 also interacts with the juxtamembrane (JM) domain (amino acids 943-984) but not with the carboxyl-terminal region (amino acids 1245-1331) of IR expressed in bacteria as His6 fusion peptides. Moreover, incubation of rat hepatoma Fao cells with TNFalpha, bacterial sphingomyelinase, or other Ser(P)/Thr(P)-elevating agents reduced insulin-induced Tyr phosphorylation of IRS-1 and IRS-2, markedly elevated their Ser(P)/Thr(P) levels, and significantly reduced their ability to interact with the JM region of IR. Withdrawal of TNFalpha for periods as short as 30 min reversed its inhibitory effects on IR-IRS interactions. Similar inhibitory effects were obtained when Fao cells were subjected to prolonged (20-60 min) pretreatment with insulin. Incubation of the cell extracts with alkaline phosphatase reversed the inhibitory effects of insulin. These findings suggest that insulin resistance is associated with enhanced Ser/Thr phosphorylation of IRS-1 and IRS-2, which impairs their interaction with the JM region of IR. Such impaired interactions abolish the ability of IRS-1 and IRS-2 to undergo insulin-induced Tyr phosphorylation and further propagate the insulin receptor signal. Moreover, the reversibility of the TNFalpha effects and the ability to mimic its action by exogenously added sphingomyelinase argue against the involvement of a proteolytic cascade in mediating the acute inhibitory effects of TNFalpha on insulin action.
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
Liu, Z.-G., Hsu, H., Goeddel, D. V., & Karin, M. (1996) · Cell · doi:10.1016/s0092-8674(00)81375-6 · Cited by 1,937
Structure of the insulin receptor substrate IRS-1 defines a unique signal transduction protein
Sun, X. J., Rothenberg, P., Kahn, C. R., Backer, J. M., Araki, E., Wilden, P. A., Cahill, D. A., Goldstein, B. J., & White, M. F. (1991) · Nature · doi:10.1038/352073a0 · Cited by 1,574
Two tumour necrosis factor receptors: structure and function
Vandenabeele, P., Declercq, W., Beyaert, R., & Fiers, W. (1995) · Trends in Cell Biology · doi:10.1016/s0962-8924(00)89088-1 · Cited by 799
Expression and function of IRS-1 in insulin signal transmission.
Sun, X. J., Miralpeix, M., Myers, M. G., Glasheen, E. M., Backer, J. M., Kahn, C. R., & White, M. F. (1992) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)41723-1 · Cited by 326
Cited by
Inflammation and metabolic disorders
Hotamisligil, G. S. (2006) · Nature · doi:10.1038/nature05485 · Cited by 9,199
Inflammation, stress, and diabetes
Wellen, K. E., & Hotamisligil, G. S. (2005) · Journal of Clinical Investigation · doi:10.1172/jci25102 · Cited by 4,143
Critical nodes in signalling pathways: insights into insulin action
Taniguchi, C. M., Emanuelli, B., & Kahn, C. R. (2006) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1837 · Cited by 2,760
Oxidative Stress and Stress-Activated Signaling Pathways: A Unifying Hypothesis of Type 2 Diabetes
Evans, J. L., Goldfine, I. D., Maddux, B. A., & Grodsky, G. M. (2002) · Endocrine Reviews · doi:10.1210/er.2001-0039 · Cited by 2,232
Yuan, M., Konstantopoulos, N., Lee, J., Hansen, L., Li, Z.-W., Karin, M., & Shoelson, S. E. (2001) · Science · doi:10.1126/science.1061620 · Cited by 1,884
Metadata
- Authors
- Paz, K., Hemi, R., LeRoith, D., Karasik, A., Elhanany, E., Kanety, H., & Zick, Y.
- Venue
- Journal of Biological Chemistry
- Publisher
- Elsevier BV
- Published
- 1997-11
- Volume
- 272
- Issue
- 47
- Pages
- 29911-29918
- ISSN
- 0021-9258 (ISSN-L)
- OpenAlex
- W2003659422
- Cited by
- 549
- References
- 4
- FWCI
- 5.63
- Type
- journal article
- Language
- en
- Open access
- hybrid
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Molecular Basis for Insulin Resistance. https://app.cochat.ai/papers/10.1074/jbc.272.47.29911
- The paper
- Paz, K., Hemi, R., LeRoith, D., Karasik, A., Elhanany, E., Kanety, H., & Zick, Y. (1997). A Molecular Basis for Insulin Resistance. Journal of Biological Chemistry. https://doi.org/10.1074/jbc.272.47.29911
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.