Lee, H. G., Lee, J. H., Flausino, L. E. & Quintana, F. J. Neuroinflammation: an astrocyte perspective. Sci. Transl. Med. 15, eadi7828 (2023). Article CAS PubMed Google Scholar Clark, I. C. et al. Barcoded viral tracing of single-cell interactions in central nervous system inflammation. Science 372, eabf1230 (2021). Article CAS PubMed PubMed Central Google Scholar
Lee, H. G., Lee, J. H., Flausino, L. E. & Quintana, F. J. Neuroinflammation: an astrocyte perspective. Sci. Transl. Med. 15, eadi7828 (2023).
Google Scholar
Clark, I. C. et al. Barcoded viral tracing of single-cell interactions in central nervous system inflammation. Science 372, eabf1230 (2021).
Google Scholar
Nakandakari-Higa, S. et al. Universal recording of immune cell interactions in vivo. Nature 627, 399–406 (2024).
Google Scholar
Soto, J. S. et al. Astrocyte-neuron subproteomes and obsessive-compulsive disorder mechanisms. Nature 616, 764–773 (2023).
Google Scholar
Kim, A.-R. et al. Enhanced protein-protein interaction discovery via AlphaFold-Multimer. Preprint at bioRxiv https://doi.org/10.1101/2024.02.19.580970 (2024).
Allen, N. J. & Lyons, D. A. Glia as architects of central nervous system formation and function. Science 362, 181–185 (2018).
Google Scholar
Sanmarco, L. M. et al. Gut-licensed IFNγ+ NK cells drive LAMP1+TRAIL+ anti-inflammatory astrocytes. Nature 590, 473–479 (2021).
Google Scholar
Wheeler, M. A. et al. MAFG-driven astrocytes promote CNS inflammation. Nature 578, 593–599 (2020).
Google Scholar
Lee, H. G. et al. Disease-associated astrocyte epigenetic memory promotes CNS pathology. Nature 627, 865–872 (2024).
Google Scholar
Roche, P. A. & Furuta, K. The ins and outs of MHC class II-mediated antigen processing and presentation. Nat. Rev. Immunol. 15, 203–216 (2015).
Google Scholar
Falcao, A. M. et al. Disease-specific oligodendrocyte lineage cells arise in multiple sclerosis. Nat. Med. 24, 1837–1844 (2018).
Google Scholar
Ponath, G. et al. Myelin phagocytosis by astrocytes after myelin damage promotes lesion pathology. Brain 140, 399–413 (2017).
Google Scholar
Stuve, O. et al. The role of the MHC class II transactivator in class II expression and antigen presentation by astrocytes and in susceptibility to central nervous system autoimmune disease. J. Immunol. 169, 6720–6732 (2002).
Google Scholar
Fontana, A., Fierz, W. & Wekerle, H. Astrocytes present myelin basic protein to encephalitogenic T-cell lines. Nature 307, 273–276 (1984).
Google Scholar
Goverman, J. Autoimmune T cell responses in the central nervous system. Nat. Rev. Immunol. 9, 393–407 (2009).
Google Scholar
Laman, J. D., Molloy, M. & Noelle, R. J. Switching off autoimmunity. Science 385, 827–829 (2024).
Google Scholar
Haimon, Z. et al. Cognate microglia-T cell interactions shape the functional regulatory T cell pool in experimental autoimmune encephalomyelitis pathology. Nat. Immunol. 23, 1749–1762 (2022).
Google Scholar
Becher, B., Bechmann, I. & Greter, M. Antigen presentation in autoimmunity and CNS inflammation: how T lymphocytes recognize the brain. J. Mol. Med. 84, 532–543 (2006).
Google Scholar
Grigg, J. B. et al. Antigen-presenting innate lymphoid cells orchestrate neuroinflammation. Nature 600, 707–712 (2021).
Google Scholar
Zhang, J. et al. Rapid generation of dendritic cell specific transgenic mice by lentiviral vectors. Transgenic Res. 18, 921–931 (2009).
Google Scholar
Savina, A. & Amigorena, S. Phagocytosis and antigen presentation in dendritic cells. Immunol. Rev. 219, 143–156 (2007).
Google Scholar
Korn, T., Bettelli, E., Oukka, M. & Kuchroo, V. K. IL-17 and Th17 cells. Annu. Rev. Immunol. 27, 485–517 (2009).
Google Scholar
Elgueta, R. et al. Molecular mechanism and function of CD40/CD40L engagement in the immune system. Immunol. Rev. 229, 152–172 (2009).
Google Scholar
Brasaemle, D. L. Thematic review series: adipocyte biology. The perilipin family of structural lipid droplet proteins: stabilization of lipid droplets and control of lipolysis. J. Lipid Res. 48, 2547–2559 (2007).
Google Scholar
Argenty, J. et al. Quantitative interactomic of CD40 in primary B cells. hLife 2, 88–93 (2024).
Google Scholar
Pasqual, G. et al. Monitoring T cell-dendritic cell interactions in vivo by intercellular enzymatic labelling. Nature 553, 496–500 (2018).
Google Scholar
Aarts, S. et al. The CD40-CD40L dyad in experimental autoimmune encephalomyelitis and multiple sclerosis. Front. Immunol. 8, 1791 (2017).
Google Scholar
Hayden, M. S. & Ghosh, S. Shared principles in NF-κB signaling. Cell 132, 344–362 (2008).
Google Scholar
Absinta, M. et al. A lymphocyte-microglia-astrocyte axis in chronic active multiple sclerosis. Nature 597, 709–714 (2021).
Google Scholar
Schirmer, L. et al. Neuronal vulnerability and multilineage diversity in multiple sclerosis. Nature 573, 75–82 (2019).
Google Scholar
Lee, J. H. et al. Astrocytes phagocytose adult hippocampal synapses for circuit homeostasis. Nature 590, 612–617 (2021).
Google Scholar
Tan, L., Gordon, K. B., Mueller, J. P., Matis, L. A. & Miller, S. D. Presentation of proteolipid protein epitopes and B7-1-dependent activation of encephalitogenic T cells by IFN-γ-activated SJL/J astrocytes. J. Immunol. 160, 4271–4279 (1998).
Google Scholar
Gerritse, K. et al. CD40-CD40 ligand interactions in experimental allergic encephalomyelitis and multiple sclerosis. Proc. Natl Acad. Sci. USA 93, 2499–2504 (1996).
Google Scholar
International Multiple Sclerosis Genetics Consortium. Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility. Science https://doi.org/10.1126/science.aav7188 (2019).
Korn, T. & Kallies, A. T cell responses in the central nervous system. Nat. Rev. Immunol. 17, 179–194 (2017).
Google Scholar
Chen, X. et al. Microglia-mediated T cell infiltration drives neurodegeneration in tauopathy. Nature 615, 668–677 (2023).
Google Scholar
Andersen, B. M. et al. Barcoded viral tracing identifies immunosuppressive astrocyte-glioma interactions. Nature 644, 1097–1106 (2025).
Google Scholar
Faust Akl, C. et al. Glioblastoma-instructed astrocytes suppress tumour-specific T cell immunity. Nature 643, 219–229 (2025).
Google Scholar
Park, D. S. et al. iPS-cell-derived microglia promote brain organoid maturation via cholesterol transfer. Nature 623, 397–405 (2023).
Google Scholar
Haney, M. S. et al. APOE4/4 is linked to damaging lipid droplets in Alzheimer’s disease microglia. Nature 628, 154–161 (2024).
Google Scholar
Ioannou, M. S. et al. Neuron-astrocyte metabolic coupling protects against activity-induced fatty acid toxicity. Cell 177, 1522–1535.e14 (2019).
Google Scholar
Bosch, M. et al. Mammalian lipid droplets are innate immune hubs integrating cell metabolism and host defense. Science 370, eaay8085 (2020).
Google Scholar
Zhao, J. et al. Neuroinvasive virus facilitates viral replication by employing lipid droplets to reduce arachidonic acid-induced ferroptosis. J. Biol. Chem. 300, 107168 (2024).
Google Scholar
Pasciuto, E. et al. Microglia require CD4 T cells to complete the fetal-to-adult transition. Cell 182, 625–640.e24 (2020).
Google Scholar
Yoshida, T. M. et al. The subfornical organ is a nucleus for gut-derived T cells that regulate behaviour. Nature 643, 499–508 (2025).
Google Scholar
Carriba, P. & Davies, A. M. CD40 is a major regulator of dendrite growth from developing excitatory and inhibitory neurons. eLife 6, e30442 (2017).
Google Scholar
Knight, M., Braverman, J., Asfaha, K., Gronert, K. & Stanley, S. Lipid droplet formation in Mycobacterium tuberculosis infected macrophages requires IFN-γ/HIF-1α signaling and supports host defense. PLoS Pathog. 14, e1006874 (2018).
Google Scholar
Liu, P. S. et al. CD40 signal rewires fatty acid and glutamine metabolism for stimulating macrophage anti-tumorigenic functions. Nat. Immunol. 24, 452–462 (2023).
Google Scholar
Meijer, M. et al. Epigenomic priming of immune genes implicates oligodendroglia in multiple sclerosis susceptibility. Neuron 110, 1193–1210.e13 (2022).
Google Scholar
Kadowaki, A. et al. CLEC16A in astrocytes promotes mitophagy and limits pathology in a multiple sclerosis mouse model. Nat. Neurosci. 28, 470–486 (2025).
Google Scholar
Hao, Y. et al. Dictionary learning for integrative, multimodal and scalable single-cell analysis. Nat. Biotechnol. 42, 293–304 (2024).
Google Scholar
Aran, D. et al. Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage. Nat. Immunol. 20, 163–172 (2019).
Google Scholar
Becker, M. Y. & Rojas, I. A graph layout algorithm for drawing metabolic pathways. Bioinformatics 17, 461–467 (2001).
Google Scholar
Gilles, J. F., Dos Santos, M., Boudier, T., Bolte, S. & Heck, N. DiAna, an ImageJ tool for object-based 3D co-localization and distance analysis. Methods 115, 55–64 (2017).
Google Scholar
Arshadi, C., Gunther, U., Eddison, M., Harrington, K. I. S. & Ferreira, T. A. SNT: a unifying toolbox for quantification of neuronal anatomy. Nat. Methods 18, 374–377 (2021).
Google Scholar
Foo, L. C. Purification of rat and mouse astrocytes by immunopanning. Cold Spring Harb. Protoc. 2013, 421–432 (2013).
Google Scholar
Thompson, A. J. et al. Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol. 17, 162–173 (2018).
Google Scholar
Mirdita, M. et al. ColabFold: making protein folding accessible to all. Nat. Methods 19, 679–682 (2022).
Google Scholar
Evans, R. et al. Protein complex prediction with AlphaFold-Multimer. Preprint at bioRxiv https://doi.org/10.1101/2021.10.04.463034 (2022).
Eng, J. K., McCormack, A. L. & Yates, J. R. An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database. J. Am. Soc. Mass. Spectrom. 5, 976–989 (1994).
Google Scholar
Joon-Hyuk, L. & Zhaorong, L. Data repository for “Antigen presentation by CD40+ MHC-II+ astrocytes 2 promote s CNS autoimmunity” [data set]. Zenodo https://doi.org/10.5281/zenodo.19803100 (2026).
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