The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
The Dual Nature of Microglia in Alzheimer’s Disease: A Microglia-Neuron Crosstalk Perspective
Abstract
Microglia are critical players in the neuroimmune system, and their involvement in Alzheimer’s disease (AD) pathogenesis is increasingly being recognized. However, whether microglia play a positive or negative role in AD remains largely controversial and the precise molecular targets for intervention are not well defined. This partly results from the opposing roles of microglia in AD pathology, and is mainly reflected in the microglia-neuron interaction. Microglia can prune synapses resulting in excessive synapse loss and neuronal dysfunction, but they can also promote synapse formation, enhancing neural network plasticity. Neuroimmune crosstalk accelerates microglial activation, which induces neuron death and enhances the microglial phagocytosis of β-amyloid to protect neurons. Moreover, microglia have dual opposing roles in developing the major pathological features in AD, such as amyloid deposition and blood-brain barrier permeability. This review summarizes the dual opposing role of microglia in AD from the perspective of the interaction between neurons and microglia. Additionally, current AD treatments targeting microglia and the advantages and disadvantages of developing microglia-targeted therapeutic strategies are discussed.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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
“microglial-sEVs, play two distinct roles in various phases of CNS diseases [38–40].”
From M2 microglia-derived small extracellular vesicles modulate NSC fate after ischemic stroke via miR-25-3p/miR-93-5p-TGFBR/PTEN/FOXO3 axis (2025) · cites this paper as [40]
Citations
Cites
Neurotoxic reactive astrocytes are induced by activated microglia
Liddelow, S. A., Guttenplan, K. A., Clarke, L. E., Bennett, F. C., Bohlen, C. J., Schirmer, L., Bennett, M. L., Münch, A. E., Chung, W.-S., Peterson, T. C., et al. (2017) · Nature · doi:10.1038/nature21029 · Cited by 7,971
Complement and microglia mediate early synapse loss in Alzheimer mouse models
Hong, S., Beja-Glasser, V. F., Nfonoyim, B. M., Frouin, A., Li, S., Ramakrishnan, S., Merry, K. M., Shi, Q., Rosenthal, A., Barres, B. A., et al. (2016) · Science · doi:10.1126/science.aad8373 · Cited by 3,343
Neuroinflammation and microglial activation in Alzheimer disease: where do we go from here?
Leng, F., & Edison, P. (2021) · Nature Reviews Neurology · doi:10.1038/s41582-020-00435-y · Cited by 3,179
Microglia in neurodegeneration
Hickman, S., Izzy, S., Sen, P., Morsett, L., & El Khoury, J. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0242-x · Cited by 1,710
Microglia Shape Adult Hippocampal Neurogenesis through Apoptosis-Coupled Phagocytosis
Sierra, A., Encinas, J. M., Deudero, J. J. P., Chancey, J. H., Enikolopov, G., Overstreet-Wadiche, L. S., Tsirka, S. E., & Maletic-Savatic, M. (2010) · Cell Stem Cell · doi:10.1016/j.stem.2010.08.014 · Cited by 1,622
Gamma frequency entrainment attenuates amyloid load and modifies microglia
Iaccarino, H. F., Singer, A. C., Martorell, A. J., Rudenko, A., Gao, F., Gillingham, T. Z., Mathys, H., Seo, J., Kritskiy, O., Abdurrob, F., et al. (2016) · Nature · doi:10.1038/nature20587 · Cited by 1,328
Microglia-derived ASC specks cross-seed amyloid-β in Alzheimer’s disease
Venegas, C., Kumar, S., Franklin, B. S., Dierkes, T., Brinkschulte, R., Tejera, D., Vieira-Saecker, A., Schwartz, S., Santarelli, F., Kummer, M. P., et al. (2017) · Nature · doi:10.1038/nature25158 · Cited by 983
Spangenberg, E., Severson, P. L., Hohsfield, L. A., Crapser, J., Zhang, J., Burton, E. A., Zhang, Y., Spevak, W., Lin, J., Phan, N. Y., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-11674-z · Cited by 939
Sala Frigerio, C., Wolfs, L., Fattorelli, N., Thrupp, N., Voytyuk, I., Schmidt, I., Mancuso, R., Chen, W.-T., Woodbury, M. E., Srivastava, G., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.03.099 · Cited by 926
Dual microglia effects on blood brain barrier permeability induced by systemic inflammation
Haruwaka, K., Ikegami, A., Tachibana, Y., Ohno, N., Konishi, H., Hashimoto, A., Matsumoto, M., Kato, D., Ono, R., Kiyama, H., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-13812-z · Cited by 923
Flagged first, then by citations
Research works printed but not linked: 98
- 10.1016/j.jalz.2014.03.009 · DOI
- 10.1006/exnr.1996.0043 · DOI · Paper page
- 10.1038/s41380-018-0258-3 · DOI · Paper page
- 10.1016/j.neurobiolaging.2009.11.022 · DOI · Paper page
- 10.1038/s41586-020-2777-8 · DOI · Paper page
- 10.1111/imm.13264 · DOI
- 10.1016/j.ynstr.2018.05.003 · DOI
- 10.1186/s40478-016-0339-y · DOI
- 10.1084/jem.188.3.431 · DOI
- 10.1093/brain/awz288 · DOI
- 10.1016/j.neuron.2014.11.020 · DOI · Paper page
- 10.1186/1750-1326-7-36 · DOI · Paper page
- 10.1038/ncomms7176 · DOI · Paper page
- 10.1186/s12974-015-0366-9 · DOI · Paper page
- 10.1038/ncomms12504 · DOI
- 10.1111/bpa.12456 · DOI · Paper page
- 10.1016/j.jalz.2015.12.005 · DOI
- 10.1016/j.tins.2019.02.007 · DOI · Paper page
- 10.1016/j.bbi.2016.12.014 · DOI · Paper page
- 10.1038/s41467-021-22301-1 · DOI · Paper page
- 10.1073/pnas.2017742118 · DOI
- 10.1111/cns.12983 · DOI
- 10.1016/j.arr.2020.101192 · DOI
- 10.1186/s40478-019-0828-x · DOI · Paper page
- 10.1016/j.celrep.2020.02.025 · DOI · Paper page
- 10.1186/s12974-017-0972-9 · DOI
- 10.1016/0006-291X(84)91209-9 · DOI · Paper page
- 10.1021/acschemneuro.8b00029 · DOI
- 10.1093/hmg/ddaa179 · DOI
- 10.1038/s41593-020-00796-z · DOI
- 10.1038/ni.1636 · DOI · Paper page
- 10.1073/pnas.0909586107 · DOI
- 10.1038/s41583-018-0113-1 · DOI · Paper page
- 10.15252/embj.201899430 · DOI
- 10.1038/s41380-020-0671-2 · DOI
- 10.1038/s41392-021-00586-4 · DOI
- 10.1002/14651858.CD006378.pub2 · DOI
- 10.1177/1073858418783959 · DOI · Paper page
- 10.1038/cdd.2013.180 · DOI
- 10.1002/ana.23626 · DOI
- 10.1016/j.cell.2017.05.018 · DOI · Paper page
- 10.1038/mp.2016.103 · DOI · Paper page
- 10.1007/s13311-019-00792-7 · DOI
- 10.1016/j.immuni.2017.08.008 · DOI · Paper page
- 10.1002/glia.23719 · DOI
- 10.1007/s00702-008-0067-y · DOI
- 10.1016/j.celrep.2020.107530 · DOI · Paper page
- 10.1016/j.neuron.2018.09.017 · DOI
- 10.1073/pnas.1922788117 · DOI · Paper page
- 10.1186/s13024-021-00453-4 · DOI
- 10.15252/embj.2019104136 · DOI
- 10.1016/j.devcel.2012.10.027 · DOI
- 10.1007/s00401-018-1815-1 · DOI · Paper page
- 10.1038/s41593-019-0511-3 · DOI
- 10.1038/s41467-020-19861-z · DOI
- 10.1093/brain/awz241 · DOI · Paper page
- 10.1038/s41380-018-0108-3 · DOI · Paper page
- 10.4049/jimmunol.177.10.7303 · DOI
- 10.1016/j.celrep.2017.09.039 · DOI · Paper page
- 10.1038/s41593-020-00756-7 · DOI
- 10.1016/j.neuron.2019.01.014 · DOI · Paper page
- 10.1523/JNEUROSCI.0487-19.2019 · DOI
- 10.1523/JNEUROSCI.3946-13.2013 · DOI
- 10.1126/science.1088417 · DOI · Paper page
- 10.1111/bpa.12717 · DOI
- 10.1016/j.neuron.2017.05.037 · DOI · Paper page
- 10.1111/imm.12163 · DOI · Paper page
- 10.1002/glia.22728 · DOI
- 10.3389/fncel.2018.00404 · DOI
- 10.1186/s13195-020-00747-7 · DOI
- 10.1146/annurev-pathol-031620-113409 · DOI
- 10.1523/JNEUROSCI.1136-17.2017 · DOI · Paper page
- 10.1212/WNL.0000000000003904 · DOI · Paper page
- 10.1523/JNEUROSCI.3667-11.2011 · DOI · Paper page
- 10.1016/j.bbi.2018.07.023 · DOI
- 10.1186/s12974-020-02024-8 · DOI
- 10.1016/j.it.2020.02.002 · DOI · Paper page
- 10.15252/embj.2020105380 · DOI
- 10.1073/pnas.1719808115 · DOI
- 10.15252/embr.201846171 · DOI · Paper page
- 10.1038/s41593-019-0514-0 · DOI · Paper page
- 10.3389/fncel.2020.592607 · DOI
- 10.1038/nrneurol.2017.188 · DOI · Paper page
- 10.1093/jnen/59.12.1118 · DOI
- 10.1177/0271678X19900097 · DOI
- 10.1016/j.neuron.2019.11.029 · DOI
- 10.1083/jcb.201609093 · DOI
- 10.1084/jem.20200785 · DOI · Paper page
- 10.1111/bpa.12478 · DOI
- 10.1146/annurev-neuro-070918-050306 · DOI · Paper page
- 10.1016/j.arr.2020.101202 · DOI
- 10.1007/s12035-017-0467-9 · DOI
- 10.1016/j.neuron.2016.05.003 · DOI · Paper page
- 10.1038/nn.3641 · DOI · Paper page
- 10.1038/s41467-020-19264-0 · DOI · Paper page
- 10.1016/j.neuron.2018.01.031 · DOI · Paper page
- 10.1038/s41467-019-09118-9 · DOI · Paper page
- 10.1038/s41591-019-0695-9 · DOI · Paper page
Cited by
Sorted by citations
Yin, X.-Y., Tang, X.-H., Wang, S.-X., Zhao, Y.-C., Jia, M., Yang, J.-J., Ji, M.-H., & Shen, J.-C. (2023) · Journal of Neuroinflammation · doi:10.1186/s12974-023-02756-3 · Cited by 138
Zhang, Q., Yi, Y., Chen, T., Ai, Y., Chen, Z., Liu, G., Tang, Z., Chen, J., Xu, T., Chen, X., et al. (2025) · Journal of Nanobiotechnology · doi:10.1186/s12951-025-03390-2 · Cited by 27
Metadata
- Authors
- Xie, Z., Meng, J., Wu, Z., Nakanishi, H., Hayashi, Y., Kong, W., Lan, F., Narengaowa, Yang, Q., Qing, H., & Ni, J.
- Affiliations
- Key Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Department of Biology, Beijing Institute of Technology, Beijing, China
- Department of Neurology and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, China
- Department of Aging Science and Pharmacology, Faculty of Dental Science, Kyushu University, Fukuoka, Japan
- Department of Pharmacology, Faculty of Pharmacy, Yasuda Women’s University, Hiroshima, Japan
- Department of Physiology, Nihon University School of Dentistry, Tokyo, Japan
- Research Center for Resource Peptide Drugs, Shanxi Engineering & Technological Research Center for Conversation & Utilization of Regional Biological Resources, Yanan University, Yanan, China
- ORCID
- Venue
- The Neuroscientist
- Publisher
- SAGE Publications
- Published
- 2022-03-29
- Volume
- 29
- Issue
- 5
- Pages
- 616-638
- ISSN
- 1073-8584
- 1089-4098
- Cited by
- 19
- References
- 57
- Language
- en
- Funders
- Beijing Natural Science Foundation (7212066)
- Organization Department of CPC Yan’an Municipal Committee (203010108)
- National Natural Science Foundation of China (32070954)
- Yan’an University (YDBK2019-41)
- China Postdoctoral Science Foundation (2021M692266)
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