The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Innate immune memory in the brain shapes neurological disease hallmarks
Open accessAbstract
Innate immune memory is a vital mechanism of myeloid cell plasticity that occurs in response to environmental stimuli and alters subsequent immune responses. Two types of immunological imprinting can be distinguished-training and tolerance. These are epigenetically mediated and enhance or suppress subsequent inflammation, respectively. Whether immune memory occurs in tissue-resident macrophages in vivo and how it may affect pathology remains largely unknown. Here we demonstrate that peripherally applied inflammatory stimuli induce acute immune training and tolerance in the brain and lead to differential epigenetic reprogramming of brain-resident macrophages (microglia) that persists for at least six months. Strikingly, in a mouse model of Alzheimer's pathology, immune training exacerbates cerebral β-amyloidosis and immune tolerance alleviates it; similarly, peripheral immune stimulation modifies pathological features after stroke. Our results identify immune memory in the brain as an important modifier of neuropathology.
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“Next we tested the effect of Aβ42 and LPS on oxidative stress response in microglial cells as amyloid and inflammation trigger and exacerbate pathological changes in AD brain (Wendeln et al., 2018).”
From Alzheimer's-associated PU.1 expression levels regulate microglial inflammatory response (2021) · cites this paper as Wendeln et al., 2018
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“peripheral insults that cause a systemic inflammatory response might affect ongoing inflammation in the CNS mainly by microglial activation, production of inflammatory molecules, as well as recruitment of peripheral immune cells into the brain, thus shaping a cerebral inflammatory milieu that may seriously affect neuronal function (50, 52, 53).”
From The Role of Short-Chain Fatty Acids From Gut Microbiota in Gut-Brain Communication (2020) · cites this paper as [53]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“However, nonspecific microglia activation induced by lipopolysaccharide does not have the same amyloid-promoting effect as myelin dysfunction, as increases, decreases or no changes in amyloid burden have been reported48–51.”
From Myelin dysfunction drives amyloid-β deposition in models of Alzheimer’s disease (2023) · cites this paper as [49]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“A Hif1a epigenetic and transcriptomic signature was recently identified in microglia following immune training by peripheral LPS administration in APP/PS1 mice65.”
From Transcriptional signature in microglia associated with Aβ plaque phagocytosis (2021) · cites this paper as [65]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
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“Animal and in-vitro studies demonstrate that inflammatory stimuli may initiate long-term priming of the microglia, peripheral CD4+ and CD8+ T cells to a proinflammatory state, (352-354) potentially increasing amyloid plaque deposition.(355)”
From Dementia prevention, intervention, and care: 2024 report of the Lancet standing Commission (2024) · cites this paper as [355]
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“Our data suggest that PU.1 may contribute to this mechanism of innate immune memory in the brain (Wendeln et al., 2018).”
From Alzheimer's-associated PU.1 expression levels regulate microglial inflammatory response (2021) · cites this paper as Wendeln et al., 2018
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“although it is important to note that the efficiency of individual phagocytic processes can be dependent on experimental conditions65–67.”
From Transcriptional signature in microglia associated with Aβ plaque phagocytosis (2021) · cites this paper as [65]
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“We found little overlap between the Hif1a module reported in65 and the Hif1a regulon identified here (Supplementary Fig. 13d)”
From Transcriptional signature in microglia associated with Aβ plaque phagocytosis (2021) · cites this paper as [65]
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“In healthy mice, peripherally applied LPS can differentially reprogram the epigenome of microglia by inducing either acute immune training or tolerance pending upon the number of injections [102].”
From What would it take to prove that a chronic infection is a causal agent in Alzheimer’s disease? (2025) · cites this paper as [102]
In the citing paper
“and systemic endotoxin precipitates brain pathology in mice expressing prions [74], APP variants [33] or TAU variants [69] or mice with α-synuclein injected in the brain [46].”
From The endotoxin hypothesis of neurodegeneration (2019) · cites this paper as [33]
In the citing paper
“Microglial markers such as purinergic receptor P2Y G-protein coupled 12 (P2ryl2), transmembrane protein 119 (Tmem119), and Fc receptor-like S, scavenger receptor (Fcrls), are used to define microglia homeostatic state.”
From Transcriptional and Epigenetic Regulation of Microglia in Health and Disease (2019) · cites this paper as [11]
In the citing paper
“Whereas, inflammatory marker Clec7a is used to define microglia in neurodegenerative state [11].”
From Transcriptional and Epigenetic Regulation of Microglia in Health and Disease (2019) · cites this paper as [11]
In the citing paper
“Immune memory in microglia and macrophages are shaped by epigenetically mediated alterations in the enhancer repertoire of targeted genes [11, 32].”
From Transcriptional and Epigenetic Regulation of Microglia in Health and Disease (2019) · cites this paper as [11]
In the citing paper
“In addition, APP mice with four-time LPS treatment showed increased H3K4me1 levels in putative enhancers related to phagocytic function [11].”
From Transcriptional and Epigenetic Regulation of Microglia in Health and Disease (2019) · cites this paper as [11]
In the citing paper
“Cerebral beta-amyloidosis activates HIF-1a and mTOR pathways, which leads to transcriptional and functional alterations associated with increased inflammatory and immune response genes in MGnD [11].”
From Transcriptional and Epigenetic Regulation of Microglia in Health and Disease (2019) · cites this paper as [11]
In the citing paper
“Peripheral immune stimulation and cerebral beta-amyloidosis can lead to epigenetic modification in microglia.”
From Transcriptional and Epigenetic Regulation of Microglia in Health and Disease (2019) · cites this paper as [11]
In the citing paper
“These data suggest the differential effect of immune training versus tolerance due to multiple peripheral immune stimulation, which is reflected in the epigenetic landscape of MGnD in AD mouse models.”
From Transcriptional and Epigenetic Regulation of Microglia in Health and Disease (2019) · cites this paper as [11]
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Citations
Cites
limma powers differential expression analyses for RNA-sequencing and microarray studies
Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv007 · Cited by 40,458
WGCNA: an R package for weighted correlation network analysis
Langfelder, P., & Horvath, S. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-559 · Cited by 27,252
Leek, J. T., Johnson, W. E., Parker, H. S., Jaffe, A. E., & Storey, J. D. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts034 · Cited by 6,231
A Unique Microglia Type Associated with Restricting Development of Alzheimer’s Disease
Keren-Shaul, H., Spinrad, A., Weiner, A., Matcovitch-Natan, O., Dvir-Szternfeld, R., Ulland, T. K., David, E., Baruch, K., Lara-Astaiso, D., Toth, B., et al. (2017) · Cell · doi:10.1016/j.cell.2017.05.018 · Cited by 5,493
Meta-Analysis of 74,046 Individuals Identifies 11 New Susceptibility Loci for Alzheimer’s Disease
(EADI), E. A. D. I., Lambert, J.-C., (GERAD), G. A. E. R. I. A. D., Alzheimer's Disease Genetic Consortium (ADGC), (CHARGE), C. F. H. A. A. R. I. G. E., Ibrahim-Verbaas, C. A., Harold, D., Naj, A. C., Sims, R., Bellenguez, C., et al. (2013) · Nature Genetics · doi:10.1038/ng.2802 · Cited by 4,336
Full-length RNA-seq from single cells using Smart-seq2
Picelli, S., Faridani, O. R., Björklund, Å. K., Winberg, G., Sagasser, S., & Sandberg, R. (2014) · Nature Protocols · doi:10.1038/nprot.2014.006 · Cited by 4,137
Krasemann, S., Madore, C., Cialic, R., Baufeld, C., Calcagno, N., El Fatimy, R., Beckers, L., O’Loughlin, E., Xu, Y., Fanek, Z., et al. (2017) · Immunity · doi:10.1016/j.immuni.2017.08.008 · Cited by 2,979
Trained immunity: A program of innate immune memory in health and– disease
Netea, M. G., Joosten, L. A. B., Latz, E., Mills, K. H. G., Natoli, G., Stunnenberg, H. G., O’Neill, L. A. J., & Xavier, R. J. (2016) · Science · doi:10.1126/science.aaf1098 · Cited by 2,768
The immunology of stroke: from mechanisms to translation
Iadecola, C., & Anrather, J. (2011) · Nature Medicine · doi:10.1038/nm.2399 · Cited by 2,596
Mills, E. L., Kelly, B., Logan, A., Costa, A. S. H., Varma, M., Bryant, C. E., Tourlomousis, P., Däbritz, J. H. M., Gottlieb, E., Latorre, I., et al. (2016) · Cell · doi:10.1016/j.cell.2016.08.064 · Cited by 2,291
BEDTools: The Swiss‐Army Tool for Genome Feature Analysis
Quinlan, A. R. (2014) · Current Protocols in Bioinformatics · doi:10.1002/0471250953.bi1112s47 · Cited by 2,286
mTOR- and HIF-1α–mediated aerobic glycolysis as metabolic basis for trained immunity
Cheng, S.-C., Quintin, J., Cramer, R. A., Shepardson, K. M., Saeed, S., Kumar, V., Giamarellos-Bourboulis, E. J., Martens, J. H. A., Rao, N. A., Aghajanirefah, A., et al. (2014) · Science · doi:10.1126/science.1250684 · Cited by 2,224
Tissue-Resident Macrophage Enhancer Landscapes Are Shaped by the Local Microenvironment
Lavin, Y., Winter, D., Blecher-Gonen, R., David, E., Keren-Shaul, H., Merad, M., Jung, S., & Amit, I. (2014) · Cell · doi:10.1016/j.cell.2014.11.018 · Cited by 2,167
HIF-1α is essential for myeloid cell-mediated inflammation
Cramer, T., Yamanishi, Y., Clausen, B. E., Förster, I., Pawlinski, R., Mackman, N., Haase, V. H., Jaenisch, R., Corr, M., Nizet, V., et al. (2003) · Cell · doi:10.1016/s0092-8674(03)00154-5 · Cited by 2,046
Epigenetic programming of monocyte-to-macrophage differentiation and trained innate immunity
Saeed, S., Quintin, J., Kerstens, H. H. D., Rao, N. A., Aghajanirefah, A., Matarese, F., Cheng, S.-C., Ratter, J., Berentsen, K., van der Ent, M. A., et al. (2014) · Science · doi:10.1126/science.1251086 · Cited by 1,761 · cited 7×
“Lactate concentration in the medium was determined using a Lactate Assay Kit (BioVision) following the manufacturer’s instructions and was correlated to DiOC6(3) fluorescence values from cells of the same animal using IBM SPSS Statistics 22 software.”
MethodInfluentialKleinnijenhuis, J., Quintin, J., Preijers, F., Joosten, L. A. B., Ifrim, D. C., Saeed, S., Jacobs, C., van Loenhout, J., de Jong, D., Stunnenberg, H. G., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1202870109 · Cited by 1,728
Two amyloid precursor protein transgenic mouse models with Alzheimer disease-like pathology
Sturchler-Pierrat, C., Abramowski, D., Duke, M., Wiederhold, K.-H., Mistl, C., Rothacher, S., Ledermann, B., Bürki, K., Frey, P., Paganetti, P. A., et al. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.24.13287 · Cited by 1,507 · cited 1×
“com/immunity/fulltext/S10747613(18)30075-X (2018).”
Self-citationInnate immune activation in neurodegenerative disease
Heneka, M. T., Kummer, M. P., & Latz, E. (2014) · Nature Reviews Immunology · doi:10.1038/nri3705 · Cited by 1,437
Microglia and brain macrophages in the molecular age: from origin to neuropsychiatric disease
Prinz, M., & Priller, J. (2014) · Nature Reviews Neuroscience · doi:10.1038/nrn3722 · Cited by 1,329
Self-citationEndotoxin tolerance: new mechanisms, molecules and clinical significance
Biswas, S. K., & Lopez-Collazo, E. (2009) · Trends in Immunology · doi:10.1016/j.it.2009.07.009 · Cited by 1,318
Gosselin, D., Link, V. M., Romanoski, C. E., Fonseca, G. J., Eichenfield, D. Z., Spann, N. J., Stender, J. D., Chun, H. B., Garner, H., Geissmann, F., et al. (2014) · Cell · doi:10.1016/j.cell.2014.11.023 · Cited by 1,307
TREM2 Maintains Microglial Metabolic Fitness in Alzheimer’s Disease
Ulland, T. K., Song, W. M., Huang, S. C.-C., Ulrich, J. D., Sergushichev, A., Beatty, W. L., Loboda, A. A., Zhou, Y., Cairns, N. J., Kambal, A., et al. (2017) · Cell · doi:10.1016/j.cell.2017.07.023 · Cited by 1,263
An environment-dependent transcriptional network specifies human microglia identity
Gosselin, D., Skola, D., Coufal, N. G., Holtman, I. R., Schlachetzki, J. C. M., Sajti, E., Jaeger, B. N., O’Connor, C., Fitzpatrick, C., Pasillas, M. P., et al. (2017) · Science · doi:10.1126/science.aal3222 · Cited by 1,220
ApoE4 markedly exacerbates tau-mediated neurodegeneration in a mouse model of tauopathy
Initiative, A. D. N., Shi, Y., Yamada, K., Liddelow, S. A., Smith, S. T., Zhao, L., Luo, W., Tsai, R. M., Spina, S., Grinberg, L. T., et al. (2017) · Nature · doi:10.1038/nature24016 · Cited by 1,220
Arts, R. J. W., Moorlag, S. J. C. F. M., Novakovic, B., Li, Y., Wang, S.-Y., Oosting, M., Kumar, V., Xavier, R. J., Wijmenga, C., Joosten, L. A. B., et al. (2018) · Cell Host & Microbe · doi:10.1016/j.chom.2017.12.010 · Cited by 1,217
BCG Educates Hematopoietic Stem Cells to Generate Protective Innate Immunity against Tuberculosis
Kaufmann, E., Sanz, J., Dunn, J. L., Khan, N., Mendonça, L. E., Pacis, A., Tzelepis, F., Pernet, E., Dumaine, A., Grenier, J.-C., et al. (2018) · Cell · doi:10.1016/j.cell.2017.12.031 · Cited by 1,191
Systemic infections and inflammation affect chronic neurodegeneration
Perry, V. H., Cunningham, C., & Holmes, C. (2007) · Nature Reviews Immunology · doi:10.1038/nri2015 · Cited by 1,027
Innate immunity in Alzheimer's disease
Heneka, M. T., Golenbock, D. T., & Latz, E. (2015) · Nature Immunology · doi:10.1038/ni.3102 · Cited by 902
Latent Enhancers Activated by Stimulation in Differentiated Cells
Ostuni, R., Piccolo, V., Barozzi, I., Polletti, S., Termanini, A., Bonifacio, S., Curina, A., Prosperini, E., Ghisletti, S., & Natoli, G. (2013) · Cell · doi:10.1016/j.cell.2012.12.018 · Cited by 867
Inflammatory memory sensitizes skin epithelial stem cells to tissue damage
Naik, S., Larsen, S. B., Gomez, N. C., Alaverdyan, K., Sendoel, A., Yuan, S., Polak, L., Kulukian, A., Chai, S., & Fuchs, E. (2017) · Nature · doi:10.1038/nature24271 · Cited by 745
β-Glucan Reverses the Epigenetic State of LPS-Induced Immunological Tolerance
Novakovic, B., Habibi, E., Wang, S.-Y., Arts, R. J. W., Davar, R., Megchelenbrink, W., Kim, B., Kuznetsova, T., Kox, M., Zwaag, J., et al. (2016) · Cell · doi:10.1016/j.cell.2016.09.034 · Cited by 712
A new type of microglia gene targeting shows TAK1 to be pivotal in CNS autoimmune inflammation
Goldmann, T., Wieghofer, P., Müller, P. F., Wolf, Y., Varol, D., Yona, S., Brendecke, S. M., Kierdorf, K., Staszewski, O., Datta, M., et al. (2013) · Nature Neuroscience · doi:10.1038/nn.3531 · Cited by 688
Self-citationKaikkonen, M. U., Spann, N. J., Heinz, S., Romanoski, C. E., Allison, K. A., Stender, J. D., Chun, H. B., Tough, D. F., Prinjha, R. K., Benner, C., et al. (2013) · Molecular Cell · doi:10.1016/j.molcel.2013.07.010 · Cited by 672
Saederup, N., Cardona, A. E., Croft, K., Mizutani, M., Cotleur, A. C., Tsou, C.-L., Ransohoff, R. M., & Charo, I. F. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013693 · Cited by 599
A new fate mapping system reveals context-dependent random or clonal expansion of microglia
Tay, T. L., Mai, D., Dautzenberg, J., Fernández-Klett, F., Lin, G., Sagar, Datta, M., Drougard, A., Stempfl, T., Ardura-Fabregat, A., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4547 · Cited by 597
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Eisele, Y. S., Obermüller, U., Heilbronner, G., Baumann, F., Kaeser, S. A., Wolburg, H., Walker, L. C., Staufenbiel, M., Heikenwalder, M., & Jucker, M. (2010) · Science · doi:10.1126/science.1194516 · Cited by 568
Self-citationMicroglia turnover with aging and in an Alzheimer’s model via long-term in vivo single-cell imaging
Füger, P., Hefendehl, J. K., Veeraraghavalu, K., Wendeln, A.-C., Schlosser, C., Obermüller, U., Wegenast-Braun, B. M., Neher, J. J., Martus, P., Kohsaka, S., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4631 · Cited by 401
Self-citationDNA methylation changes in plasticity genes accompany the formation and maintenance of memory
Halder, R., Hennion, M., Vidal, R. O., Shomroni, O., Rahman, R.-U., Rajput, A., Centeno, T. P., van Bebber, F., Capece, V., Vizcaino, J. C. G., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4194 · Cited by 358
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Neher, J. J., Emmrich, J., Fricker, M., Mander, P. K., Théry, C., & Brown, G. C. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1308679110 · Cited by 357
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Banks, W. A., & Robinson, S. M. (2010) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2009.09.001 · Cited by 356
Quantitative assay by flow cytometry of the mitochondrial membrane potential in intact cells
Rottenberg, H., & Wu, S. (1998) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/s0167-4889(98)00088-3 · Cited by 274
Caron, E., Self, A. J., & Hall, A. K. (2000) · Current Biology · doi:10.1016/s0960-9822(00)00641-2 · Cited by 272
Innate immune memory: a paradigm shift in understanding host defense
Netea, M. G., Latz, E., Mills, K. H. G., & O'Neill, L. A. J. (2015) · Nature Immunology · doi:10.1038/ni.3178 · Cited by 269
Changes in Experimental Stroke Outcome across the Life Span
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Datta, M., Staszewski, O., Raschi, E., Frosch, M., Hagemeyer, N., Tay, T. L., Blank, T., Kreutzfeldt, M., Merkler, D., Ziegler-Waldkirch, S., et al. (2018) · Immunity · doi:10.1016/j.immuni.2018.02.016 · Cited by 206
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Sturchler, C., & Staufenbiel, M. (2000) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2000.tb06915.x · Cited by 171
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Li, Y., Yan, J., De, P. K. R., Chang, H., 山内, 明., Christopherson, K. W., Paranavitana, N. C., Peng, X., Kim, C., Munugulavadla, V., et al. (2007) · The Journal of Immunology · doi:10.4049/jimmunol.179.12.8322 · Cited by 124
Varvel, N. H., Grathwohl, S. A., Degenhardt, K., Resch, C., Bosch, A., Jucker, M., & Neher, J. J. (2015) · Journal of Experimental Medicine · doi:10.1084/jem.20150478 · Cited by 99
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Hefendehl, J. K., Milford, D., Eicke, D., Wegenast‐Braun, B. M., Calhoun, M. E., Grathwohl, S. A., Jucker, M., & Liebig, C. (2011) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2011.10.029 · Cited by 30
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“It is now widely known that peripheral insults that cause a systemic inflammatory response might affect ongoing inflammation in the CNS mainly by microglial activation, production of inflammatory molecules, as well as recruitment of peripheral immune cells into the brain, thus shaping a cerebral inflammatory milieu th…”
BackgroundDefining trained immunity and its role in health and disease
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Metadata
- Authors
- Wendeln, A.-C., Degenhardt, K., Kaurani, L., Gertig, M., Ulas, T., Jain, G., Wagner, J., Häsler, L. M., Wild, K., Skodras, A., Blank, T., Staszewski, O., Datta, M., Centeno, T. P., Capece, V., Islam, M. R., Kerimoglu, C., Staufenbiel, M., Schultze, J. L., Beyer, M., Prinz, M., Jucker, M., Fischer, A., & Neher, J. J.
- Affiliations
- German Center for Neurodegenerative Diseases (DE)
- University of Bonn (DE)
- University of Freiburg (DE)
- Corresponding author
- Neher, Jonas J.
- ORCID
- Venue
- Nature
- Published
- 2018-04
- Volume
- 556
- Issue
- 7701
- Pages
- 332-338
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC6038912
- OpenAlex
- W2796983933
- Cited by
- 956
- References
- 51
- Citations by year
- 2026: 117 · 2025: 102 · 2024: 120 · 2023: 106 · 2022: 121 · 2021: 135 · 2020: 104 · 2019: 90 · 2018: 60
- FWCI
- 43.97
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DZNE Pub (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Life Sciences › Immunology and Microbiology › Immunology › Immune responses and vaccinations
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Inflammasome and immune disorders
- Keywords
- trained immunity, immunological imprinting, immune tolerance, microglia, epigenetic reprogramming, neuroinflammation, Alzheimer's disease, beta-amyloidosis, stroke, neuropathology
- MeSH terms
- Alzheimer Disease, Amyloidosis, Animals, Brain, Disease Models, Animal, Female, Gene Expression Regulation, Humans, Immune Tolerance, Immunity, Innate, Immunologic Memory, Inflammation, Male, Nervous System Diseases, Microglia, Stroke, Epigenesis, Genetic, Mice
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