The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
The noradrenaline precursor L-DOPS reduces pathology in a mouse model of Alzheimer’s disease
Open accessAbstract
Damage to noradrenergic neurons in the locus coeruleus (LC) is a hallmark of Alzheimer's disease (AD) and may contribute to disease progression. In 5xFAD transgenic mice, which accumulate amyloid burden at early ages, the LC undergoes stress as evidenced by increased astrocyte activation, neuronal hypertrophy, reduced levels of LC-enriched messenger RNAs (mRNAs), and increased inflammatory gene expression. Central nervous system (CNS) noradrenaline (NA) levels in 5-month-old male 5xFAD mice were increased using the NA precursor L-threo-3,4-dihydroxyphenylserine (L-DOPS). After 1 month, L-DOPS treatment improved learning in the Morris water maze test compared with vehicle-treated mice. L-DOPS increased CNS NA levels, and average latency times in the water maze test were inversely correlated to NA levels. L-DOPS reduced astrocyte activation and Thioflavin-S staining; increased mRNA levels of neprilysin and insulin degrading enzyme, and of several neurotrophins; and increased brain-derived neurotrophic factor protein levels. These data demonstrate the presence of LC stress in a robust mouse model of AD, and suggest that raising CNS NA levels could provide benefit in AD.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“a reduced plaque burden has been shown to be accompanied by a reduced glial activation [6], [60].”
From Galantamine Slows Down Plaque Formation and Behavioral Decline in the 5XFAD Mouse Model of Alzheimer’s Disease (2014) · cites this paper as [60]
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
The Mouse Brain in Stereotaxic Coordinates
Paxinos, G. (2001) · Cited by 12,859
Oakley, H., Cole, S. L., Logan, S., Maus, E., Shao, P., Craft, J., Guillozet-Bongaarts, A., Ohno, M., Disterhoft, J., Van Eldik, L., et al. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.1202-06.2006 · Cited by 3,530 · cited 3×
“In these studies we used 5xFAD mice (Oakley et al., 2006), which harbor 3 mutations in the amyloid precursor protein (APP) gene and 2 in the presenilin-1 (PS1) gene; they accumulate soluble Aβ1–42 and develop plaques by 4 to 5 weeks age, and show frank neuronal damage including intraneuronal accumulation of Aβ1–42 and…”
BackgroundMethodThe locus coeruleus and noradrenergic modulation of cognition
Sara, S. J. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2573 · Cited by 1,848
The essential role of hippocampal CA1 NMDA receptor-dependent synaptic plasticity in spatial memory.
Tsien, J. Z., Huerta, P. T., & Tonegawa, S. (1996) · Cell · doi:10.1016/s0092-8674(00)81827-9 · Cited by 1,782 · cited 1×
“Our findings that L-DOPS also reduced amyloid burden and inflammation in the hippocampus is consistent with the fact that learning in the Morris water maze test is considered to be dependent on hippocampal function (Tsien et al., 1996).”
ResultTrkB signalling pathways in LTP and learning
Minichiello, L. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2738 · Cited by 1,055
Zarow, C., Lyness, S. A., Mortimer, J. A., & Chui, H. C. (2003) · Archives of Neurology · doi:10.1001/archneur.60.3.337 · Cited by 1,003
Inflammatory processes in Alzheimer's disease
Heneka, M. T., & O'Banion, M. K. (2007) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2006.11.017 · Cited by 782
Peng, S., Wuu, J., Mufson, E. J., & Fahnestock, M. (2005) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2005.03135.x · Cited by 691
Heneka, M. T., Nadrigny, F., Regen, T., Martinez-Hernandez, A., Dumitrescu‐Ozimek, L., Terwel, D., Jardanhazi‐Kurutz, D., Walter, J., Kirchhoff, F., Hanisch, U., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0909586107 · Cited by 532
Disease‐specific patterns of locus coeruleus cell loss
German, D. C., Manaye, K. F., White, C. L., Woodward, D. J., McIntire, D. D., Smith, W. K., Kalaria, R. N., & Mann, D. M. A. (1992) · Annals of Neurology · doi:10.1002/ana.410320510 · Cited by 512
Flagged first, then by citations
Research works printed but not linked: 1
- Holm, 2003, Crucial role of TrkB ligands in the survival and phenotypic differentiation of developing locus coeruleus noradrenergic neurons, Development, 130, 3535, 10.1242/dev.00565 · DOI
Cited by
Sorted by citations
Items 101–116 of 116
Матухно, А. Е., Tkacheva, P. V., Voinov, V. B., Lysenko, L. V., Evsyukova, E. V., Taisaeva, A. O., & Борисович, Б. И. (2025) · Neuroscience and Behavioral Physiology · doi:10.1007/s11055-025-01811-1 · Cited by 1
Atomoxetine Drug Properties for Repurposing as a Candidate Alzheimer’s Disease Therapeutic Agent
Demsey, L. L., Burch, D., Lin, E., Quach, D., Podvin, S., Boyarko, B., Levey, A. I., Weinshenker, D., Edland, S. D., Galasko, D. R., et al. (2025) · ACS Pharmacology & Translational Science · doi:10.1021/acsptsci.5c00502 · Cited by 2
Female‐biased astrocytic priming shapes early locus coeruleus vulnerability in an Aβ oligomer milieu
Kushwaha, S., Choudhury, R. R., Bhat, P., Kumaran, S. S., & Karunakaran, S. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71168 · Cited by 1
Hernandez, N. M., Silva-Pérez, M. A., & Chin, J. (2026) · PLoS ONE · doi:10.1371/journal.pone.0340611 · Cited by 1
L-Dops and the Treatment of Neurogenic Orthostatic Hypotension
Vichayanrat, E., Low, D. A., Asahina, M., Owens, A. P., Iodice, V., Galizia, G., & Mathias, C. J. (2013) · Future Neurology · doi:10.2217/fnl.13.28 · Cited by 1
Zeng, F., Fan, Y., Brown, R. W., Gill, W. D., Price, J. B., Jones, T. C., & Zhu, M. (2021) · ASN NEURO · doi:10.1177/17590914211055064 · Cited by 1
Rapid Microbial Profiling through Multimodal Biosensors for Transversal Analysis
Lee, J.-H., Chin, S. M., Chan, D. C., Liao, J. C., Yang, S. S., Zhang, N., & Wong, P. K. (2024) · Analytical Chemistry · doi:10.1021/acs.analchem.4c02449 · Cited by 1
Majewska, A. K., Le, L., Feidler, A. M., Li, H., Kara-Pabani, K., Lamantia, C. E., & O’Banion, M. K. (2024) · Research Square · doi:10.21203/rs.3.rs-3976896/v1 · Cited by 1
Feinstein, D. L., & Heneka, M. T. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-805088-0.00016-5
Self-citationMultitaper Time-frequency Peak-based Longitudinal Sleep Analysis in 5XFAD Mouse ModelPreprint
Kim, C., Drew, V. J., Park, M.-C., & Kim, T. (2021) · Research Square · doi:10.21203/rs.3.rs-779142/v1
Human Nervous System Disorders
(2019) · Advances in bioinformatics and biomedical engineering book series · doi:10.4018/978-1-5225-8066-9.ch018
Hernandez, A. C. M. (2011) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-3555
Lim, E. Y., Salinas, A., Ye, L., Yang, Y., & Paukert, M. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.06.27.497832
Матухно, А. Е., Tkacheva, P. V., Voinov, V. B., Lysenko, L. V., Evsyukova, E. V., Taisaeva, A. O., & Борисович, Б. И. (2024) · Журнал высшей нервной деятельности им И П Павлова · doi:10.31857/s0044467724060084
Heo, E. Y., Salinas‐Birt, A., Ye, L., Sajadi, S., Sarker, M. K., Yang, Y., & Paukert, M. (2025) · iScience · doi:10.1016/j.isci.2025.113120
Reboxetine Treatment Reduces Hippocampal Gliosis in the P301S Tauopathy Mouse Model
Gutiérrez, I. L., Yanes-Castilla, C., MacDowell, K. S., Caso, J. R., García‐Bueno, B., Ulecia-Morón, C., Leza, J. C., & Madrigal, J. L. M. (2026) · ASN NEURO · doi:10.1080/17590914.2026.2630485
Metadata
- Authors
- Kalinin, S., Polak, P. E., Lin, S. X., Sakharkar, A. J., Pandey, S. C., & Feinstein, D. L.
- Affiliations
- University of Illinois Chicago (US)
- Corresponding author
- Feinstein, Douglas L.
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2012-08
- Volume
- 33
- Issue
- 8
- Pages
- 1651-1663
- ISSN
- 0197-4580 (ISSN-L)
- PMC
- PMC3646366
- OpenAlex
- W1991513124
- Cited by
- 116
- References
- 59
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 7 · 2023: 2 · 2022: 9 · 2021: 10 · 2020: 7 · 2019: 9 · 2018: 6 · 2017: 15 · 2016: 11 · 2015: 4 · 2014: 9 · 2013: 9 · 2012: 5
- FWCI
- 5.67
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neurobiology of Aging (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Department of Veterans Affairs
- American Alzheimer's Association
- NIH (RO1-AA010005)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- Alzheimer's disease, norepinephrine, locus coeruleus, 5xFAD mice, amyloid, astrocyte activation, neuroinflammation, learning disabilities, brain-derived neurotrophic factor, neprilysin, insulin-degrading enzyme, neurotrophins, noradrenergic neurons
- MeSH terms
- Alzheimer Disease, Animals, Antiparkinson Agents, Locus Coeruleus, Male, Mice, Transgenic, Norepinephrine, Droxidopa, Treatment Outcome, Maze Learning, Mice, Adrenergic Neurons
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