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Early correlation of microglial activation with enhanced tumor necrosis factor-alpha and monocyte chemoattractant protein-1 expression specifically within the entorhinal cortex of triple transgenic Alzheimer's disease mice
Open accessAbstract
Background: Alzheimer's disease is a complex neurodegenerative disorder characterized pathologically by a temporal and spatial progression of beta-amyloid (Aβ) deposition, neurofibrillary tangle formation, and synaptic degeneration. Inflammatory processes have been implicated in initiating and/or propagating AD-associated pathology within the brain, as inflammatory cytokine expression and other markers of inflammation are pronounced in individuals with AD pathology. The current study examines whether inflammatory processes are evident early in the disease process in the 3xTg-AD mouse model and if regional differences in inflammatory profiles exist. Methods: Coronal brain sections were used to identify Aβ in 2, 3, and 6-month 3xTg-AD and non-transgenic control mice. Quantitative real-time RT-PCR was performed on microdissected entorhinal cortex and hippocampus tissue of 2, 3, and 6-month 3xTg-AD and non-transgenic mice. Microglial/macrophage cell numbers were quantified using unbiased stereology in 3xTg-AD and non-transgenic entorhinal cortex and hippocampus containing sections. Results: We observed human Aβ deposition at 3 months in 3xTg-AD mice which is enhanced by 6 months of age. Interestingly, we observed a 14.8-fold up-regulation of TNF-α and 10.8-fold up-regulation of MCP-1 in the entorhinal cortex of 3xTg-AD mice but no change was detected over time in the hippocampus or in either region of non-transgenic mice. Additionally, this increase correlated with a specific increase in F4/80-positive microglia and macrophages in 3xTg-AD entorhinal cortex. Conclusion: Our data provide evidence for early induction of inflammatory processes in a model that develops amyloid and neurofibrillary tangle pathology. Additionally, our results link inflammatory processes within the entorhinal cortex, which represents one of the earliest AD-affected brain regions.
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“Similar to previous findings in AD brains and mouse models, 39 -42 the levels of CCL2 and TNF␣ mRNAs were elevated in the APPPS1;Cx3cr1 ϩ/ϩ mouse brain.”
From CX3CR1 Deficiency Alters Microglial Activation and Reduces Beta-Amyloid Deposition in Two Alzheimer's Disease Mouse Models (2010) · cites this paper as [42]
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Citations
Cites
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
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
Glutamate neurotoxicity and diseases of the nervous system
Choi, D. W. (1988) · Neuron · doi:10.1016/0896-6273(88)90162-6 · Cited by 8,188
Alzheimer's Disease Is a Synaptic Failure
Selkoe, D. J. (2002) · Science · doi:10.1126/science.1074069 · Cited by 4,420
Triple-Transgenic Model of Alzheimer’s Disease with Plaques and Tangles
Oddo, S., Caccamo, A., Shepherd, J. D., Murphy, M. P., Golde, T. E., Kayed, R., Metherate, R., Mattson, M. P., Akbari, Y., & LaFerla, F. M. (2003) · Neuron · doi:10.1016/s0896-6273(03)00434-3 · Cited by 4,126
Self-citationStaging of alzheimer's disease-related neurofibrillary changes
Braak, H., & Braak, E. (1995) · Neurobiology of Aging · doi:10.1016/0197-4580(95)00021-6 · Cited by 2,357
Profound Loss of Layer II Entorhinal Cortex Neurons Occurs in Very Mild Alzheimer’s Disease
Gómez-Isla, T., Price, J. L., McKeel Jr., D. W., Morris, J. C., Growdon, J. H., & Hyman, B. T. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-14-04491.1996 · Cited by 1,796 · cited 1×
“Moreover, individuals diagnosed with mild cognitive impairment, a forme fruste of AD, display decreased entorhinal and hippocampal volume, primarily associated with diminished neuron number as compared to non-cognitively impaired controls [7-10].”
Microglia as a source and target of cytokines
Hanisch, U. (2002) · Glia · doi:10.1002/glia.10161 · Cited by 1,645
Nonsteroidal Antiinflammatory Drugs and the Risk of Alzheimer's Disease
in 't Veld, B. A., Ruitenberg, A., Hofman, A., Launer, L. J., van Duijn, C. M., Stijnen, T., Breteler, M. M. B., & Stricker, B. H. C. (2001) · New England Journal of Medicine · doi:10.1056/nejmoa010178 · Cited by 1,196
Risk of Alzheimer's disease and duration of NSAID use
Stewart, W. F., Kawas, C., Corrada, M., & Metter, E. J. (1997) · Neurology · doi:10.1212/wnl.48.3.626 · Cited by 1,132
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Nwafor, D. C., Chakraborty, S., Jun, S., Brichacek, A. L., Dransfeld, M., Gemoets, D. E., Dakhlallah, D. A., & Brown, C. M. (2020) · Behavioural Brain Research · doi:10.1016/j.bbr.2020.112983 · Cited by 3
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Monnet‐Tschudi, F., & FitzGerald, R. (2018) · OECD series on adverse outcome pathways · doi:10.1787/95f569ad-en · Cited by 4
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Garg, G., Singh, A., Patel, P., Kumar, M., Thakur, S., & Kurmi, B. D. (2025) · BioNanoScience · doi:10.1007/s12668-025-02232-7 · Cited by 1
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Bamisi, O., Oluwalabani, A. O., Arogundade, T. T., & Olajide, O. J. (2024) · Neurotoxicology and Teratology · doi:10.1016/j.ntt.2024.107394 · Cited by 1
Ikezu, T. (2016) · Springer eBooks · doi:10.1007/978-3-319-44022-4_30 · Cited by 1
Chabrier, M. A., Neely, K. M., Castello, N. A., & LaFerla, F. M. (2011) · Royal Society of Chemistry eBooks · doi:10.1039/bk9781849731843-00001 · Cited by 1
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Petersen, R. B., & Srinageshwar, B. (2020) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.738103685.793575919
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Gu, X., Zhou, J., Zhou, Y., Wang, H., Si, N., Ren, W., Zhao, W., Fan, X., Gao, W., Wei, X., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13979065
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Ikezu, T. (2024) · Springer eBooks · doi:10.1007/978-3-031-68237-7_22
Animal Models in Neuro Ophthalmology
Normando, E. M., Sher, A., Patel, R. P., Arora, N., & Cordeiro, M. F. (2025) · Springer eBooks · doi:10.1007/978-3-031-72156-4_19
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Hoang, D. A., Le, D. A., Do, T. M. H., & Than, V. T. (2025) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2025.06.024
Fshr gene depletion prevents recognition memory loss, fat accrual and bone loss in Alzheimer’s mice
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Gu, X., Zhou, J., Zhou, Y., Wang, H., Si, N., Ren, W., Zhao, W., Fan, X., Gao, W., Wei, X., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13979062
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Kapadia, M., Mian, M. F., Ma, D., Hutton, C. P., Azam, A. B., Narkaj, K., Cao, C., Brown, B., Michalski, B., Morgan, D., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13619932
Jagadeesan, N., Roules, G. C., Chandrashekar, D. V., Yang, J., Kolluru, S., & Sumbria, R. K. (2024) · Figshare · doi:10.6084/m9.figshare.26694846
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Jagadeesan, N., Roules, G. C., Chandrashekar, D. V., Yang, J., Kolluru, S., & Sumbria, R. K. (2024) · Figshare · doi:10.6084/m9.figshare.26694828
Jagadeesan, N., Roules, G. C., Chandrashekar, D. V., Yang, J., Kolluru, S., & Sumbria, R. K. (2024) · Figshare · doi:10.6084/m9.figshare.26694855
Shaikh, A., Ahmad, F., Murthy, J., Teoh, S. L., & Yahaya, M. F. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27021059
Loustalot, F. (2015) · theses.fr (ABES) · doi:10.70675/549d8b77z73a1z461fza271zec31f12874d2
Marqueurs périphériques de l'inflammation et déclin cognitif au cours de la maladie d'Alzheimer
Julian, A. (2018) · theses.fr (ABES) · doi:10.70675/0f58e0a1z28d9z40b7z886fz752caf42c261
Age, inflammation and Abeta itself influence Abeta degradation in Alzheimer's Disease
van Rijn, J. M. (2014) · Utrecht University Repository (Utrecht University)
Metadata
- Authors
- Janelsins, M. C., Mastrangelo, M. A., Oddo, S., LaFerla, F. M., Federoff, H. J., & Bowers, W. J.
- Affiliations
- University of Rochester Medicine (US)
- University of California, Irvine (US)
- Corresponding author
- Bowers, William J
- Venue
- Journal of Neuroinflammation
- Published
- 2005-10-18
- Volume
- 2
- Issue
- 1
- Pages
- 23-23
- ISSN
- 1742-2094 (ISSN-L)
- PMC
- PMC1276812
- OpenAlex
- W2163115168
- Cited by
- 260
- References
- 41
- Citations by year
- 2026: 2 · 2025: 9 · 2024: 22 · 2023: 13 · 2022: 13 · 2021: 8 · 2020: 18 · 2019: 13 · 2018: 14 · 2017: 14 · 2016: 12 · 2015: 18 · 2014: 11 · 2013: 13 · 2012: 15
- FWCI
- 4.44
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Journal of Neuroinflammation (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Institutes of Health
- National Institute on Aging (R01AG020204, R01AG023593)
- National Institute of Neurological Disorders and Stroke (F31NS049995)
- Topics
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
- Keywords
- Alzheimer's disease, microglial activation, neuroinflammation, 3xTg-AD mice, entorhinal cortex, hippocampus, amyloid-beta deposition, TNF-α, MCP-1, microglia/macrophages, F4/80, neurofibrillary tangles
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