Glial cell transcriptome analyses in 3xTg-AD mice: Effects of aging, disease progression, and anti-Aβ immunotherapy
Open accessAbstract
Background: To investigate how changes in expression of glial genes relate to a progression of Alzheimer's disease (AD) pathology, and how anti-Aβ immunotherapy impact these changes, we conducted a transcriptomic analysis for brains from cohorts of 2-, 10-, and 20 month old 3xTg-AD mice, and a cross-sectional study in groups of 20 month-old mice treated with active DNA Aβ42 immunization, passive immunotherapy, untreated, and wild-type (wt) controls. Methods: Twenty-four Formalin-Fixed Paraffin-Embedded (FFPE) mouse brain sections were used for the gene expression analyses (nanostring). Adjacent sections from these and additional mouse brains were stained for microglia using antibodies detecting IbaI and Gal3. For a semi-quantitative analysis of increased tau and amyloid pathology with aging and disease progression, a comparison of ELISA results from brains of 12 and 20 months old 3xTg-AD mice were shown. Results: Based on the different comparisons of transcript numbers found the 3xTg-AD age groups with the senescent 20 months old wt control mouse brains, and the 20 months old 3xTg-AD mouse brains with the 20 months old wt control mouse brains, genes were assigned as upregulated due to aging, or due to disease progression, or due to both. The immunohistochemistry of microglia markers revealed that Gal3 might be an important marker for phagocytosing microglia around amyloid plaques. The comparison of the two anti-Aβ immunotherapy approaches showed a differential downregulation of inflammatory glial genes. Conclusion: These results are relevant for future clinical trials using active anti-amyloid immunotherapy.
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Strong evidence has implicated the complement system in the pathogenesis of Alzheimer's disease.
“Strong evidence has implicated the complement system in the pathogenesis of Alzheimer’s disease [72–76]”
From Age, sex and Alzheimer’s disease: a longitudinal study of 3xTg-AD mice reveals sex-specific disease trajectories and inflammatory responses mirrored in postmortem brains from Alzheimer’s patients (2024) · cites this paper as [75]
The Results (Differential expression of glial genes in brain; page unavailable) identify complement genes as upregulated in 3xTg-AD mice and complement activation among pathways enriched in AD-pathology-associated genes. This implicates the complement system in the mouse model, but the paper’s transcriptomic findings do not establish the broader claim of strong evidence for its role in Alzheimer’s disease pathogenesis. (LLM, conf=0.83)
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NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease
Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Dunn, B., Haeberlein, S. B., Holtzman, D. M., Jagust, W., Jessen, F., Karlawish, J., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.02.018 · Cited by 10,537 · see citing works
Clinical effects of Aβ immunization (AN1792) in patients with AD in an interrupted trial
Gilman, S., Koller, M., Black, R. S., Jenkins, L., Griffith, S. G., Fox, N. C., Eisner, L., Kirby, L., Rovira, M. B., Forette, F., et al. (2005) · Neurology · doi:10.1212/01.wnl.0000159740.16984.3c · Cited by 1,329 · see citing works
Friedman, B. A., Srinivasan, K., Ayalon, G., Meilandt, W. J., Lin, H., Huntley, M. A., Cao, Y., Lee, S.-H., Haddick, P. C. G., Ngu, H., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2017.12.066 · Cited by 662 · cited 2× · see citing works
“Microglial activation stages can be defined by transcriptional profiles [18,33,42].”
BackgroundTolar, M., Abushakra, S., Hey, J. A., Porsteinsson, A., & Sabbagh, M. (2020) · Alzheimer's Research & Therapy · doi:10.1186/s13195-020-00663-w · Cited by 354 · cited 1× · see citing works
“[5] Tolar M, Abushakra S, Hey JA, Porsteinsson A, Sabbagh M.”
BackgroundAducanumab produced a clinically meaningful benefit in association with amyloid lowering
Cummings, J., Aisen, P., Lemere, C., Atri, A., Sabbagh, M., & Salloway, S. (2021) · Alzheimer's Research & Therapy · doi:10.1186/s13195-021-00838-z · Cited by 224 · see citing works
Flagged first, then by citations
Research works printed but not linked: 37
- [2]Panza F. Frisardi V. Solfrizzi V. Imbimbo B.P. Logroscino G. Santamato A. Immunotherapy for Alzheimer's disease: from anti-β-amyloid to tau-based immunization strategies Immunotherapy 4 2 2012 213 238 22339463
- [3]Imbimbo BP, Lucca U, Watling M. Can anti-β-amyloid monoclonal antibodies work in autosomal dominant Alzheimer disease? Neurol Genet. 2020; 7(1):e535. PMC7862085 33575481
- [4]Tian Hui Kwan A. Arfaie S. Therriault J. Rosa-Neto P. Gauthier S. Lessons learnt from the second generation of anti-amyloid monoclonal antibodies clinical trials Dement Geriatr Cogn Disord 49 4 2021 334 348 33321511
- [7]Heneka M.T. Carson M.J. Khoury J.E. Landreth G.E. Brosseron F. Feinstein D.L. Neuroinflammation in Alzheimer's disease Lancet Neurol 14 4 2015 388 405 25792098 PMC5909703
- [8]Schenk D. Amyloid-beta immunotherapy for Alzheimer's disease: the end of the beginning Nat Rev Neurosci 3 2002 824 828 12360327
- [9]Orgogozo J.M. Gilman S. Dartigues J.F. Subacute meningoencephalitis in a subset of patients with AD after Abeta42 immunization Neurology 61 1 2003 46 54 12847155
- [11]Lambracht-Washington D. Qu B.X. Fu M. DNA beta-amyloid(1–42) trimer immunization for Alzheimer disease in a wild-type mouse model JAMA 302 16 2009 1796 1802 19861672 PMC2896011
- [12]Lambracht-Washington D. Qu B.-X. Fu M. Anderson L.D. Stüve O. Eagar T.N. DNA immunization against amyloid beta 42 has high potential as safe therapy for Alzheimer's disease as it diminishes antigen-specific Th1 and Th17 cell proliferation Cell Mol Neurobiol 31 6 2011 PMC3349443 21625960
- [13]Lambracht-Washington D. Rosenberg R.N. A noninflammatory immune response in aged DNA Aβ42-immunized mice supports its safety for possible use as immunotherapy in AD patients Neurobiol Aging 36 3 2015 1274 1281 25725942 PMC4389281
- [14]Lambracht-Washington D. Fu M. Wight-Carter M. Riegel M. Rosenberg R.N. Dodel R. Evaluation of a DNA Aβ42 vaccine in aged NZW rabbits: antibody kinetics and immune profile after intradermal immunization with full-length DNA Aβ42 trimer J Alzheimers Dis 57 1 2017 97 112 28222511 PMC5345648
- [15]Lambracht-Washington D. Fu M. Frost P. Evaluation of a DNA Aβ42 vaccine in adult rhesus monkeys (Macaca mulatta): antibody kinetics and immune profile after intradermal immunization with full-length DNA Aβ42 trimer Alzheimers Res Ther 9 1 2017 30 28441965 PMC5405538
- [16]Rosenberg R.N. Lambracht-Washington D. Active immunotherapy to prevent Alzheimer disease - A DNA amyloid β 1–42 trimer vaccine JAMA Neurol 77 3 2020 289 290 31816028
- [17]Liddelow S.A. Marsh S.E. Stevens B. Microglia and astrocytes in disease: dynamic duo or partners in crime? Trends Immunol 41 9 2020 820 835 32819809
- [18]Hansen D.V. Hanson J.E. Sheng M. Microglia in Alzheimer's disease J Cell Biol 217 2 2018 459 472 29196460 PMC5800817
- [19]Liddelow S.A. Barres B.A. Reactive astrocytes: production, function, and therapeutic potential Immunity 46 6 2017 957 967 28636962
- [20]Carroll J.A. Race B. Williams K. Striebel J. Chesebro B. RNA-seq and network analysis reveal unique glial gene expression signatures during prion infection Mol Brain 13 1 2020 PMC7206698 32381108
- [21]Paolicelli R.C. Bolasco G. Pagani F. Maggi L. Scianni M. Panzanelli P. Synaptic pruning by microglia is necessary for normal brain development Science 333 6048 2011 1456 1458 21778362
- [22]Zabel M. Schrag M. Crofton A. Tung S. Beaufond P. Van Ornam J. A shift in microglial β-amyloid binding in Alzheimer's disease is associated with cerebral amyloid angiopathy Brain Pathol 23 4 2013 390 401 23134465 PMC3586773
- [23]Zrzavy T. Machado-Santos J. Christine S. Baumgartner C. Weiner H.L. Butovsky O. Dominant role of microglial and macrophage innate immune responses in human ischemic infarcts Brain Pathol 28 6 2018 791 805 29222823 PMC6334527
- [24]Lalancette-Hebert M. Gowing G. Simard A. Weng Y.C. Kriz J. Selective ablation of proliferating microglial cells exacerbates ischemic injury in the brain J Neurosci 27 10 2007 2596 2605 17344397 PMC6672496
- [25]Trotta T. Antonietta Panaro M. Cianciulli A. Mori G. Di Benedetto A. Porro C. Microglia-derived extracellular vesicles in Alzheimer's disease: A double-edged sword Biochem Pharmacol 148 2018 184 192 29305855
- [26]Kilkenny C. Browne W.J. Cuthill I.C. Emerson M. Altman D.G. Improving bioscience research reporting: the ARRIVE guidelines for reporting animal research PLoS Biol 8 6 2010 e1000412 20613859 PMC2893951
- [27]Rosenberg R.N. Fu M. Lambracht-Washington D. Active full-length DNA Aβ42 immunization in 3xTg-AD mice reduces not only amyloid deposition but also tau pathology Alzheimers Res Ther 10 1 2018 115 30454039 PMC6245829
- [28]Lambracht-Washington D, Fu M, Hynan LS, et al. Changes in the brain transcriptome after DNA Aβ42 trimer immunization in a 3xTg-AD mouse model. Neurobiol Dis. 2021; 148:105221. PMC7845550 33316368
- [29]Qu B.-X. Lambracht-Washington D. Fu M. Eagar T.N. Stüve O. Rosenberg R.N. Analysis of three plasmid systems for use in DNA Aβ42 immunization as therapy for Alzheimer's disease Vaccine 28 32 2010 5280 5287 20562015 PMC2926979
- [30]Szklarczyk D, Gable AL, Lyon D, et al. STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Res. 2019; 47(D1):D607-D613. PMC6323986 30476243
- [31]Eden E. Navon R. Steinfeld I. Lipson D. Yakhini Z. GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists BMC Bioinf 10 1 2009 PMC2644678 19192299
- [32]Safaiyan S. Besson-Girard S. Kaya T. Cantuti-Castelvetri L. Liu L.u. Ji H. White matter aging drives microglial diversity Neuron 109 7 2021 1100 1117.e10 33606969
- [33]Kong W, Zhang J, Mou X, et al. Integrating gene expression and protein interaction data for signaling pathway prediction of Alzheimer's disease. Comput Math Methods Med. 2014; 2014: 340758. PMC4000644 24812571
- [34]Keren-Shaul H. Spinrad A. Weiner A. Matcovitch-Natan O. Dvir-Szternfeld R. Ulland T.K. A Unique microglia type associated with restricting development of Alzheimer's disease Cell 169 7 2017 1276 1290.e17 28602351
- [35]Hohsfield L.A. Najafi A.R. Ghorbanian Y. Soni N. Hingco E.E. Kim S.J. Effects of long-term and brain-wide colonization of peripheral bone marrow-derived myeloid cells in the CNS J Neuroinflammation 17 1 2020 PMC7504855 32951604
- [36]Ahmad M.H. Fatima M. Mondal A.C. Influence of microglia and astrocyte activation in the neuroinflammatory pathogenesis of Alzheimer's disease: Rational insights for the therapeutic approaches J Clin Neurosci 59 2019 6 11 30385170
- [37]Arranz A.M. De Strooper B. The role of astroglia in Alzheimer's disease: pathophysiology and clinical implications Lancet Neurol 18 4 2019 406 414 30795987
- [38]Li M.D. Burns T.C. Kumar S. Morgan A.A. Sloan S.A. Palmer T.D. Aging-like changes in the transcriptome of irradiated microglia Glia 63 5 2015 754 767 25690519 PMC4625786
- [39]Saura C.A. Parra-Damas A. Enriquez-Barreto L. Gene expression parallels synaptic excitability and plasticity changes in Alzheimer's disease Front Cell Neurosci 9 2015 318 26379494 PMC4548151
- [40]Rothman S.M. Tanis K.Q. Gandhi P. Malkov V. Marcus J. Pearson M. Human Alzheimer's disease gene expression signatures and immune profile in APP mouse models: a discrete transcriptomic view of Aβ plaque pathology J Neuroinflammation 15 1 2018 PMC6127905 30189875
- [41]Mathys H. Davila-Velderrain J. Peng Z. Gao F. Mohammadi S. Young J.Z. Single-cell transcriptomic analysis of Alzheimer's disease Nature 570 7761 2019 332 337 31042697 PMC6865822
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Barber, A. J., del Genio, C. L., Swain, A. B., Pizzi, E. M., Watson, S. C., Tapiavala, V. N., Zanazzi, G. J., & Gaur, A. B. (2024) · Alzheimer's Research & Therapy · doi:10.1186/s13195-024-01492-x · Cited by 41 · see citing works
- Authors
- Lambracht-Washington, D., Fu, M., Manouchehri, N., Hynan, L. S., Stuve, O., & Rosenberg, R. N.
- Affiliations
- The University of Texas Southwestern Medical Center (US)
- Venue
- Aging Brain
- Publisher
- Elsevier BV
- Published
- 2023
- Volume
- 3
- Pages
- 100066
- ISSN
- 2589-9589 (ISSN-L)
- PMC
- PMC9997156
- OpenAlex
- W4317938504
- Cited by
- 9
- References
- 5
- Citations by year
- 2026: 1 · 2024: 8
- FWCI
- 2.99
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Aging Brain (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Institutes of Health
- Topics
- Health Sciences › Medicine › Physiology › 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, glial cells, 3xTg-AD mice, aging, disease progression, anti-amyloid immunotherapy, passive immunotherapy, microglia, galectin-3, Iba1, amyloid plaques, tau pathology, neuroinflammation, gene expression
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