Kwakkel, G., Kollen, B. & Twisk, J. Impact of time on improvement of outcome after stroke. Stroke 37, 2348–2353 (2006).
Levard, D. et al. Filling the gaps on stroke research: focus on inflammation and immunity. Brain Behav. Immun. 91, 649–667 (2021).
DALYs, G. B. D. & Collaborators, H. Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 392, 1859–1922 (2018).
Diseases, G. B. D. & Injuries, C. Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 396, 1204–1222 (2020).
Nakamura, A. et al. PLA2G2E-mediated lipid metabolism triggers brain-autonomous neural repair after ischemic stroke. Neuron 111, 2995–3010 (2023).
Shichita, T., Ooboshi, H. & Yoshimura, A. Neuroimmune mechanisms and therapies mediating post-ischaemic brain injury and repair. Nat. Rev. Neurosci. 24, 299–312 (2023).
Amann, L., Masuda, T. & Prinz, M. Mechanisms of myeloid cell entry to the healthy and diseased central nervous system. Nat. Immunol. 24, 393–407 (2023).
Prinz, M., Jung, S. & Priller, J. Microglia biology: one century of evolving concepts. Cell 179, 292–311 (2019).
Prinz, M., Masuda, T., Wheeler, M. A. & Quintana, F. J. Microglia and central nervous system-associated macrophages-from origin to disease modulation. Annu. Rev. Immunol. 39, 251–277 (2021).
Tsuyama, J., Nakamura, A., Ooboshi, H., Yoshimura, A. & Shichita, T. Pivotal role of innate myeloid cells in cerebral post-ischemic sterile inflammation. Semin. Immunopathol. 40, 523–538 (2018).
Shichita, T. et al. MAFB prevents excess inflammation after ischemic stroke by accelerating clearance of damage signals through MSR1. Nat. Med. 23, 723–732 (2017).
Planas, A. M. Role of microglia in stroke. Glia 72, 1016–1053 (2024).
Crotti, A. & Ransohoff, R. M. Microglial physiology and pathophysiology: insights from genome-wide transcriptional profiling. Immunity 44, 505–515 (2016).
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, 2596–2605 (2007).
Hayes, C. A. et al. Insulin-like growth factor-1 and cognitive health: exploring cellular, preclinical, and clinical dimensions. Front. Neuroendocrinol. 76, 101161 (2025).
Ueno, M. et al. Layer V cortical neurons require microglial support for survival during postnatal development. Nat. Neurosci. 16, 543–551 (2013).
Wlodarczyk, A. et al. A novel microglial subset plays a key role in myelinogenesis in developing brain. EMBO J. 36, 3292–3308 (2017).
Beck, K. D., Powell-Braxton, L., Widmer, H. R., Valverde, J. & Hefti, F. Igf1 gene disruption results in reduced brain size, CNS hypomyelination, and loss of hippocampal granule and striatal parvalbumin-containing neurons. Neuron 14, 717–730 (1995).
Trejo, J. L. et al. Central actions of liver-derived insulin-like growth factor I underlying its pro-cognitive effects. Mol. Psychiatry 12, 1118–1128 (2007).
Williams, H. C., Carlson, S. W. & Saatman, K. E. A role for insulin-like growth factor-1 in hippocampal plasticity following traumatic brain injury. Vitam. Horm. 118, 423–455 (2022).
Dyer, A. H., Vahdatpour, C., Sanfeliu, A. & Tropea, D. The role of insulin-like growth factor 1 (IGF-1) in brain development, maturation and neuroplasticity. Neuroscience 325, 89–99 (2016).
Llorente, I. L. et al. Patient-derived glial enriched progenitors repair functional deficits due to white matter stroke and vascular dementia in rodents. Sci. Transl. Med. 13, eaaz6747 (2021).
Mastorakos, P. et al. Temporally distinct myeloid cell responses mediate damage and repair after cerebrovascular injury. Nat. Neurosci. 24, 245–258 (2021).
Lloyd, A. F. & Miron, V. E. The pro-remyelination properties of microglia in the central nervous system. Nat. Rev. Neurol. 15, 447–458 (2019).
Luan, W. et al. Microglia impede oligodendrocyte generation in aged brain. J. Inflamm. Res. 14, 6813–6831 (2021).
Szalay, G. et al. Microglia protect against brain injury and their selective elimination dysregulates neuronal network activity after stroke. Nat. Commun. 7, 11499 (2016).
Arbaizar-Rovirosa, M. et al. Aged lipid-laden microglia display impaired responses to stroke. EMBO Mol. Med. 15, e17175 (2023).
Ginhoux, F. et al. Fate mapping analysis reveals that adult microglia derive from primitive macrophages. Science 330, 841–845 (2010).
Nagata, T. et al. Cholesterol-functionalized DNA/RNA heteroduplexes cross the blood–brain barrier and knock down genes in the rodent CNS. Nat. Biotechnol. 39, 1529–1536 (2021).
Goldmann, T. et al. A new type of microglia gene targeting shows TAK1 to be pivotal in CNS autoimmune inflammation. Nat. Neurosci. 16, 1618–1626 (2013).
Kierdorf, K., Masuda, T., Jordao, M. J. C. & Prinz, M. Macrophages at CNS interfaces: ontogeny and function in health and disease. Nat. Rev. Neurosci. 20, 547–562 (2019).
Li, X. et al. Transcriptional and epigenetic decoding of the microglial aging process. Nat. Aging 3, 1288–1311 (2023).
Wang, X. et al. Growth/differentiation factor-15 and its role in peripheral nervous system lesion and regeneration. Cell Tissue Res. 362, 317–330 (2015).
Pruvost, M. et al. The stability of the myelinating oligodendrocyte transcriptome is regulated by the nuclear lamina. Cell Rep. 42, 112848 (2023).
Chen, K. Z. et al. Vimentin as a potential target for diverse nervous system diseases. Neural Regen. Res. 18, 969–975 (2023).
Yoon, S. et al. Homer1 promotes dendritic spine growth through ankyrin-G and its loss reshapes the synaptic proteome. Mol. Psychiatry 26, 1775–1789 (2021).
Zhu, X. et al. Role of Rph3A in brain injury induced by experimental cerebral ischemia–reperfusion model in rats. CNS Neurosci. Ther. 28, 1124–1138 (2022).
Ince-Dunn, G. et al. Regulation of thalamocortical patterning and synaptic maturation by NeuroD2. Neuron 49, 683–695 (2006).
Pannasch, U. et al. Connexin 30 sets synaptic strength by controlling astroglial synapse invasion. Nat. Neurosci. 17, 549–558 (2014).
Busceti, C. L. et al. Dickkopf-3 causes neuroprotection by inducing vascular endothelial growth factor. Front. Cell. Neurosci. 12, 292 (2018).
Lavialle, M. et al. Structural plasticity of perisynaptic astrocyte processes involves ezrin and metabotropic glutamate receptors. Proc. Natl Acad. Sci. USA 108, 12915–12919 (2011).
Murphy, T. H. & Corbett, D. Plasticity during stroke recovery: from synapse to behaviour. Nat. Rev. Neurosci. 10, 861–872 (2009).
Jia, W., Kamen, Y., Pivonkova, H. & Karadottir, R. T. Neuronal activity-dependent myelin repair after stroke. Neurosci. Lett. 703, 139–144 (2019).
Butovsky, O. et al. Identification of a unique TGF-β-dependent molecular and functional signature in microglia. Nat. Neurosci. 17, 131–143 (2014).
Bidwell, J. P. et al. Involvement of the nuclear matrix in the control of skeletal genes: the NMP1 (YY1), NMP2 (Cbfa1), and NMP4 (Nmp4/CIZ) transcription factors. Crit. Rev. Eukaryot. Gene Expr. 11, 279–297 (2001).
Masuda, T. et al. Novel Hexb-based tools for studying microglia in the CNS. Nat. Immunol. 21, 802–815 (2020).
Hung, G. et al. Characterization of target mRNA reduction through in situ RNA hybridization in multiple organ systems following systemic antisense treatment in animals. Nucleic Acid Ther. 23, 369–378 (2013).
Tasic, B. et al. Shared and distinct transcriptomic cell types across neocortical areas. Nature 563, 72–78 (2018).
Zheng, G. X. et al. Massively parallel digital transcriptional profiling of single cells. Nat. Commun. 8, 14049 (2017).
Hafemeister, C. & Satija, R. Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression. Genome Biol. 20, 296 (2019).
Hao, Y. et al. Integrated analysis of multimodal single-cell data. Cell 184, 3573–3587 (2021).
Stuart, T. et al. Comprehensive integration of single-cell data. Cell 177, 1888–1902 (2019).
Mumbach, M. et al. Enhancer connectome in primary human cells identifies target genes of disease-associated DNA elements. Nat. Genet. 49, 1602–1612 (2017).
Servant, N. et al. HiC-Pro: an optimized and flexible pipeline for Hi-C data processing. Genome Biol. 16, 259 (2015).
Bhattacharyya, S., Chandra, V., Vijayanand, P. & Ay, F. Identification of significant chromatin contacts from HiChIP data by FitHiChIP. Nat. Commun. 10, 4221 (2019).