The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Antibodies Targeted to the Brain with Image-Guided Focused Ultrasound Reduces Amyloid-β Plaque Load in the TgCRND8 Mouse Model of Alzheimer's Disease
Open accessAbstract
Immunotherapy for Alzheimer's disease (AD) relies on antibodies directed against toxic amyloid-beta peptide (Abeta), which circulate in the bloodstream and remove Abeta from the brain. In mouse models of AD, the administration of anti-Abeta antibodies directly into the brain, in comparison to the bloodstream, was shown to be more efficient at reducing Abeta plaque pathology. Therefore, delivering anti-Abeta antibodies to the brain of AD patients may also improve treatment efficiency. Transcranial focused ultrasound (FUS) is known to transiently-enhance the permeability of the blood-brain barrier (BBB), allowing intravenously administered therapeutics to enter the brain. Our goal was to establish that anti-Abeta antibodies delivered to the brain using magnetic resonance imaging-guided FUS (MRIgFUS) can reduce plaque pathology. To test this, TgCRND8 mice received intravenous injections of MRI and FUS contrast agents, as well as anti-Abeta antibody, BAM-10. MRIgFUS was then applied transcranially. Within minutes, the MRI contrast agent entered the brain, and BAM-10 was later found bound to Abeta plaques in targeted cortical areas. Four days post-treatment, Abeta pathology was significantly reduced in TgCRND8 mice. In conclusion, this is the first report to demonstrate that MRIgFUS delivery of anti-Abeta antibodies provides the combined advantages of using a low dose of antibody and rapidly reducing plaque pathology.
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
Amyloid oligomers exacerbate tau pathology in a mouse model of tauopathy
Selenica, M.-L. B., Brownlow, M., Jimenez, J. P., Lee, D. C., Pena, G., Dickey, C. A., Gordon, M. N., & Morgan, D. (2013) · Neurodegenerative Diseases · doi:10.1159/000337230 · Cited by 10,359
Shankar, G. M., Li, S., Mehta, T. H., Garcia-Munoz, A., Shepardson, N. E., Smith, I., Brett, F. M., Farrell, M. A., Rowan, M. J., Lemere, C. A., et al. (2008) · Nature Medicine · doi:10.1038/nm1782 · Cited by 3,685
Bard, F., Cannon, C., Barbour, R., Burke, R.-L., Games, D., Grajeda, H., Guido, T., Hu, K., Huang, J., Johnson-Wood, K., et al. (2000) · Nature Medicine · doi:10.1038/78682 · Cited by 2,012 · cited 2×
“Previous passive immunization studies in AD mouse models, where plaque pathology was reduced [4,14–16,28], required the systemic administration of anti-Ab antibodies at concentrations that were 10-fold higher and repeated weekly over several months.”
BackgroundDeMattos, R. B., Bales, K. R., Cummins, D. J., Dodart, J.-C., Paul, S. M., & Holtzman, D. M. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.151261398 · Cited by 1,298
Chishti, M. A., Yang, D.-S., Janus, C., Phinney, A. L., Horne, P., Pearson, J., Strome, R., Zuker, N., Loukides, J., French, J., et al. (2001) · Journal of Biological Chemistry · doi:10.1074/jbc.m100710200 · Cited by 955
Immunization reverses memory deficits without reducing brain Aβ burden in Alzheimer's disease model
Dodart, J.-C., Bales, K. R., Gannon, K. S., Greene, S. J., DeMattos, R. B., Mathis, C., DeLong, C. A., Wu, S., Wu, X., Holtzman, D. M., et al. (2002) · Nature Neuroscience · doi:10.1038/nn842 · Cited by 858
Reversible memory loss in a mouse transgenic model of Alzheimer’s disease
Kotilinek, L. A., Bacskai, B., Westerman, M., Kawarabayashi, T., Younkin, L., Hyman, B. T., Younkin, S., & Ashe, K. H. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-15-06331.2002 · Cited by 420
Thakker, D. R., Weatherspoon, M. R., Harrison, J., Keene, T. E., Lane, D. S., Kaemmerer, W. F., Stewart, G. R., & Shafer, L. L. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0813404106 · Cited by 124
Cited by
Blood-brain barrier opening in Alzheimer’s disease using MR-guided focused ultrasound
Lipsman, N., Meng, Y., Bethune, A. J., Huang, Y., Lam, B., Masellis, M., Herrmann, N., Heyn, C., Aubert, I., Boutet, A., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04529-6 · Cited by 950
Self-citationThe blood-brain barrier: Physiology and strategies for drug delivery
Pandit, R., Chen, L., & Götz, J. (2020) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2019.11.009 · Cited by 651
Scanning ultrasound removes amyloid-β and restores memory in an Alzheimer’s disease mouse model
Leinenga, G., & Götz, J. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aaa2512 · Cited by 498
Abrahao, A., Meng, Y., Llinas, M., Huang, Y., Hamani, C., Mainprize, T., Aubert, I., Heyn, C., Black, S. E., Hynynen, K., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12426-9 · Cited by 476
Self-citationO’Reilly, M. A., & Hynynen, K. (2012) · Radiology · doi:10.1148/radiol.11111417 · Cited by 401
Self-citation
Metadata
- Authors
- Jordão, J. F., Ayala-Grosso, C. A., Markham, K., Huang, Y., Chopra, R., McLaurin, J., Hynynen, K., & Aubert, I.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2010-05-11
- Volume
- 5
- Issue
- 5
- Pages
- e10549
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2054714985
- Cited by
- 378
- References
- 8
- FWCI
- 9.10
- Type
- journal article
- Language
- en
- Open access
- gold
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: Antibodies Targeted to the Brain with Image-Guided Focused Ultrasound Reduces Amyloid-β Plaque Load in the TgCRND8 Mouse Model of Alzheimer's Disease. https://app.cochat.ai/papers/10.1371/journal.pone.0010549
- The paper
- Jordão, J. F., Ayala-Grosso, C. A., Markham, K., Huang, Y., Chopra, R., McLaurin, J., Hynynen, K., & Aubert, I. (2010). Antibodies Targeted to the Brain with Image-Guided Focused Ultrasound Reduces Amyloid-β Plaque Load in the TgCRND8 Mouse Model of Alzheimer's Disease. PLoS ONE. https://doi.org/10.1371/journal.pone.0010549
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.