The DOI matches its Crossref record; 234 of the 234 references it cites were found in a registry or an index.
Brain fuel metabolism, aging, and Alzheimer’s disease
Open accessAbstract
Lower brain glucose metabolism is present before the onset of clinically-measurable cognitive decline in two groups of people at risk of Alzheimer’s disease (AD) - carriers of apoE4, and in those with a maternal family history of AD. Supported by emerging evidence from in vitro and animal studies, these reports suggest that brain hypometabolism may precede and contribute to the neuropathological cascade leading cognitive decline in AD. The reason for brain hypometabolism is unclear but may include defects in glucose transport at the blood-brain barrier, glycolysis, and/or mitochondrial function. Methodological issues presently preclude knowing with certainty whether or not aging in the absence of cognitive impairment is necessarily associated with lower brain glucose metabolism. Nevertheless, aging appears to increase the risk of deteriorating systemic control of glucose utilization which, in turn, may increase the risk of declining brain glucose uptake, at least in some regions. A contributing role of deteriorating glucose availability to or metabolism by the brain in AD does not exclude the opposite effect, i.e. that neurodegenerative processes in AD further decrease brain glucose metabolism because of reduced synaptic functionality and, hence, reduced energy needs, thereby completing a vicious cycle. Strategies to reduce the risk of AD by breaking this cycle should aim to – (i) improve insulin sensitivity by improving systemic glucose utilization, or (ii) bypass deteriorating brain glucose metabolism using approaches that safely induce mild, sustainable ketonemia.
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
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980
Mitochondrial Dysfunction and Oxidative Stress in Neurodegenerative Diseases
Lin, M. T., & Beal, M. F. (2006) · Nature · doi:10.1038/nature05292 · Cited by 6,455
Sokoloff, L., Reivich, M., Kennedy, C., Rosiers, M. H. D., Patlak, C. S., Pettigrew, K. D., Sakurada, O., & Shinohara, M. (1977) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.1977.tb10649.x · Cited by 6,000
Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade
Jack, C. R., Knopman, D. S., Jagust, W. J., Shaw, L. M., Aisen, P. S., Weiner, M. W., Petersen, R. C., & Trojanowski, J. Q. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70299-6 · Cited by 4,806
Querfurth, H. W., & LaFerla, F. M. (2010) · New England Journal of Medicine · doi:10.1056/nejmra0909142 · Cited by 4,569
Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS–ADRDA criteria
Dubois, B., Feldman, H. H., Jacova, C., DeKosky, S. T., Barberger-Gateau, P., Cummings, J., Delacourte, A., Galasko, D., Gauthier, S., Jicha, G., et al. (2007) · The Lancet Neurology · doi:10.1016/s1474-4422(07)70178-3 · Cited by 4,411
Self-citationTerry, R. D., Masliah, E., Salmon, D. P., Butters, N., DeTeresa, R., Hill, R., Hansen, L. A., & Katzman, R. (1991) · Annals of Neurology · doi:10.1002/ana.410300410 · Cited by 4,397
Interplay between Cortical Spreading Depolarization and Seizures
Kramer, D. R., Fujii, T., Ohiorhenuan, I., & Liu, C. Y. (2017) · Stereotactic and Functional Neurosurgery · doi:10.1159/000452841 · Cited by 3,696
Blennow, K., de Leon, M. J., & Zetterberg, H. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69113-7 · Cited by 3,134
Phelps, M. E., Huang, S. C., Hoffman, E. J., Selin, C., Sokoloff, L., & Kuhl, D. E. (1979) · Annals of Neurology · doi:10.1002/ana.410060502 · Cited by 2,418
Cited by
Blood–brain barrier breakdown in Alzheimer disease and other neurodegenerative disorders
Sweeney, M. D., Sagare, A. P., & Zlokovic, B. V. (2018) · Nature Reviews Neurology · doi:10.1038/nrneurol.2017.188 · Cited by 3,076
Inflammation as a central mechanism in Alzheimer's disease
Kinney, J. W., Bemiller, S. M., Murtishaw, A. S., Leisgang, A. M., Salazar, A. M., & Lamb, B. T. (2018) · Alzheimer's & Dementia: Translational Research & Clinical Interventions · doi:10.1016/j.trci.2018.06.014 · Cited by 2,253
“[243] Cunnane S, Nugent S, Roy M, Courchesne-Loyer A, Croteau E,”
Iturria-Medina, Y., Sotero, R. C., Toussaint, P. J., Mateos-Pérez, J. M., Evans, A. C., Initiative, T. A. D. N., Weiner, M. W., Aisen, P., Petersen, R., Jack, C. R., et al. (2016) · Nature Communications · doi:10.1038/ncomms11934 · Cited by 1,202
Vascular dysfunction—The disregarded partner of Alzheimer's disease
Sweeney, M. D., Montagne, A., Sagare, A. P., Nation, D. A., Schneider, L. S., Chui, H. C., Harrington, M. G., Pa, J., Law, M., Wang, D. J. J., et al. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.07.222 · Cited by 711
Alzheimer’s disease: A matter of blood–brain barrier dysfunction?
Montagne, A., Zhao, Z., & Zlokovic, B. V. (2017) · Journal of Experimental Medicine · doi:10.1084/jem.20171406 · Cited by 672
Metadata
- Authors
- Cunnane, S., Nugent, S., Roy, M., Courchesne-Loyer, A., Croteau, E., Tremblay, S., Castellano, A., Pifferi, F., Bocti, C., Paquet, N., Begdouri, H., Bentourkia, M., Turcotte, E., Allard, M., Barberger-Gateau, P., Fulop, T., & Rapoport, S. I.
- Venue
- Nutrition
- Publisher
- Elsevier BV
- Published
- 2011-01
- Volume
- 27
- Issue
- 1
- Pages
- 3-20
- ISSN
- 0899-9007 (ISSN-L)
- OpenAlex
- W1988453006
- Cited by
- 614
- References
- 234
- FWCI
- 12.76
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Brain fuel metabolism, aging, and Alzheimer’s disease. https://app.cochat.ai/papers/10.1016/j.nut.2010.07.021
- The paper
- Cunnane, S., Nugent, S., Roy, M., Courchesne-Loyer, A., Croteau, E., Tremblay, S., Castellano, A., Pifferi, F., Bocti, C., Paquet, N., Begdouri, H., Bentourkia, M., Turcotte, E., Allard, M., Barberger-Gateau, P., Fulop, T., & Rapoport, S. I. (2011). Brain fuel metabolism, aging, and Alzheimer’s disease. Nutrition. https://doi.org/10.1016/j.nut.2010.07.021
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.
