The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Diet‐induced insulin resistance promotes amyloidosis in a transgenic mouse model of Alzheimer's disease
Abstract
Recent epidemiological evidence indicates that insulin resistance, a proximal cause of Type II diabetes [a non‐insulin dependent form of diabetes mellitus (NIDDM)], is associated with an increased relative risk for Alzheimer's disease (AD). In this study we examined the role of dietary conditions leading to NIDDM‐like insulin resistance on amyloidosis in Tg2576 mice, which model AD‐like neuropathology. We found that diet‐induced insulin resistance promoted amyloidogenic β‐amyloid (Aβ) Aβ 1–40 and Aβ 1–42 peptide generation in the brain that corresponded with increased γ‐secretase activities and decreased insulin degrading enzyme (IDE) activities. Moreover, increased Aβ production also coincided with increased AD‐type amyloid plaque burden in the brain and impaired performance in a spatial water maze task. Further exploration of the apparent interrelationship of insulin resistance to brain amyloidosis revealed a functional decrease in insulin receptor (IR)‐mediated signal transduction in the brain, as suggested by decreased IR β‐subunit (IRβ) Y 1162/1163 autophosphorylation and reduced phosphatidylinositol 3 (PI3)‐kinase/pS 473 ‐AKT/Protein kinase (PK)‐B in these same brain regions. This latter finding is of particular interest given the known inhibitory role of AKT/PKB on glycogen synthase kinase (GSK)‐3α activity, which has previously been shown to promote Aβ peptide generation. Most interestingly, we found that decreased pS 21 ‐GSK‐3α and pS 9 ‐GSK‐ 3β phosphorylation, which is an index of GSK activation, positively correlated with the generation of brain C‐terminal fragment (CTF)‐γ cleavage product of amyloid precursor protein, an index of γ‐secretase activity, in the brain of insulin‐resistant relative to normoglycemic Tg2576 mice. Our study is consistent with the hypothesis that insulin resistance may be an underlying mechanism responsible for the observed increased relative risk for AD neuropathology, and presents the first evidence to suggest that IR signaling can influence Aβ production in the brain.
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
Correlative Memory Deficits, Aβ Elevation, and Amyloid Plaques in Transgenic Mice
Hsiao, K., Chapman, P., Nilsen, S., Eckman, C., Harigaya, Y., Younkin, S., Yang, F., & Cole, G. (1996) · Science · doi:10.1126/science.274.5284.99 · Cited by 4,210
Spatial localization does not require the presence of local cues
Morris, R. G. M. (1981) · Learning and Motivation · doi:10.1016/0023-9690(81)90020-5 · Cited by 2,699
Alzheimer Disease in the US Population: Prevalence Estimates Using the 2000 Census
Hebert, L. E., Scherr, P. A., Bienias, J. L., Bennett, D. A., & Evans, D. A. (2003) · Archives of Neurology · doi:10.1001/archneur.60.8.1119 · Cited by 2,168
15-year longitudinal study of blood pressure and dementia
Skoog, I., Nilsson, L., Persson, G., Lernfelt, B., Landahl, S., Palmertz, B., Andreasson, L.-A., Odén, A., & Svanborg, A. (1996) · The Lancet · doi:10.1016/s0140-6736(96)90608-x · Cited by 1,726
Forette, F., Seux, M.-L., Staessen, J. A., Thijs, L., Birkenhäger, W. H., Babarskiene, M.-R., Babeanu, S., Bossini, A., Gil-Extremera, B., Girerd, X., et al. (1998) · The Lancet · doi:10.1016/s0140-6736(98)03086-4 · Cited by 1,441
Farris, W., Mansourian, S., Chang, Y., Lindsley, L., Eckman, E. A., Frosch, M. P., Eckman, C. B., Tanzi, R. E., Selkoe, D. J., & Guénette, S. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0230450100 · Cited by 1,286
GSK-3α regulates production of Alzheimer's disease amyloid-β peptides
Phiel, C. J., Wilson, C. A., Lee, V. M.-Y., & Klein, P. S. (2003) · Nature · doi:10.1038/nature01640 · Cited by 1,196
Kawarabayashi, T., Younkin, L. H., Saido, T. C., Shoji, M., Ashe, K. H., & Younkin, S. G. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-02-00372.2001 · Cited by 1,053
Molteni, R., Barnard, R. J., Ying, Z., Roberts, C. K., & Gómez-Pinilla, F. (2002) · Neuroscience · doi:10.1016/s0306-4522(02)00123-9 · Cited by 916
Hypercholesterolemia Accelerates the Alzheimer's Amyloid Pathology in a Transgenic Mouse Model
Refolo, L. M., Pappolla, M. A., Malester, B., LaFrancois, J., Bryant-Thomas, T., Wang, R., Tint, G. S., Sambamurti, K., & Duff, K. (2000) · Neurobiology of Disease · doi:10.1006/nbdi.2000.0304 · Cited by 783
Cited by
Ageing as a risk factor for neurodegenerative disease
Hou, Y., Dan, X., Babbar, M., Wei, Y., Hasselbalch, S. G., Croteau, D. L., & Bohr, V. A. (2019) · Nature Reviews Neurology · doi:10.1038/s41582-019-0244-7 · Cited by 3,310
Talbot, K., Wang, H.-Y., Kazi, H., Han, L.-Y., Bakshi, K. P., Stucky, A., Fuino, R. L., Kawaguchi, K. R., Samoyedny, A. J., Wilson, R. S., et al. (2012) · Journal of Clinical Investigation · doi:10.1172/jci59903 · Cited by 1,871
Insulin and neurodegenerative disease: shared and specific mechanisms
Craft, S., & Stennis Watson, G. (2004) · The Lancet Neurology · doi:10.1016/s1474-4422(04)00681-7 · Cited by 830
Glycogen synthase kinase-3 (GSK3): Inflammation, diseases, and therapeutics
Jope, R. S., Yuskaitis, C. J., & Beurel, E. (2007) · Neurochemical Research · doi:10.1007/s11064-006-9128-5 · Cited by 774
Moloney, A. M., Griffin, R. J., Timmons, S., O’Connor, R., Ravid, R., & O’Neill, C. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.04.002 · Cited by 764
Metadata
- Authors
- Ho, L., Qin, W., Pompl, P. N., Xiang, Z., Wang, J., Zhao, Z., Peng, Y., Cambareri, G., Rocher, A., Mobbs, C. V., Hof, P. R., & Pasinetti, G. M.
- Venue
- The FASEB Journal
- Publisher
- Wiley
- Published
- 2004-03-19
- Volume
- 18
- Issue
- 7
- Pages
- 902-904
- ISSN
- 0892-6638 (ISSN-L)
- 1530-6860
- OpenAlex
- W2109958697
- Cited by
- 630
- References
- 50
- FWCI
- 13.11
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Diet‐induced insulin resistance promotes amyloidosis in a transgenic mouse model of Alzheimer's disease. https://app.cochat.ai/papers/10.1096/fj.03-0978fje
- The paper
- Ho, L., Qin, W., Pompl, P. N., Xiang, Z., Wang, J., Zhao, Z., Peng, Y., Cambareri, G., Rocher, A., Mobbs, C. V., Hof, P. R., & Pasinetti, G. M. (2004). Diet‐induced insulin resistance promotes amyloidosis in a transgenic mouse model of Alzheimer's disease. The FASEB Journal. https://doi.org/10.1096/fj.03-0978fje
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.