Redefining Microglial Identity in Health and Disease at Single-Cell Resolution
Abstract
Microglia have long been considered a homogenous cell population that uniformly responds to extrinsic factors. Here, we describe how the recent development of single-cell technologies has revealed the heterogeneity of both human and mouse microglia and identified distinct microglial states linked to specific developmental, aging, and disease stages. We discuss progress and future developments in data analysis, essential tools for the comprehension of big data derived from single-cell omics, and the necessity of integrating such data with functional studies to correlate genetic cues with the relevant biological functions of microglia. Defining the functional correlates of distinct microglia states is fundamental to dissecting the 'microglial etiology' of aging and complex neurological diseases and identifying novel therapeutic and diagnostic targets.
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Recent single-cell technologies have revealed multiple microglial states in human and mouse brains related to specific developmental, aging, and disease processes.
“recent developments in single-cell technologies have revealed multiple microglial states in human and mouse brains related to specific developmental, aging, and disease processes.”
From Microglia in neurodegenerative diseases: mechanism and potential therapeutic targets (2023) · cites this paper as [4]
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Spatial transcriptomic survey of human embryonic cerebral cortex by single-cell RNA-seq analysis
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Human fetal microglia acquire homeostatic immune-sensing properties early in development
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Functionalization of Brain Region-specific Spheroids with Isogenic Microglia-like Cells
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A single-nuclei RNA sequencing study of Mendelian and sporadic AD in the human brain
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Cell-Type-Specific Complement Expression in the Healthy and Diseased Retina
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A data-driven approach links microglia to pathology and prognosis in amyotrophic lateral sclerosis
Cooper-Knock, J., Green, C., Altschuler, G., Wei, W., Bury, J. J., Heath, P. R., Wyles, M., Gelsthorpe, C., Highley, J. R., Lorente-Pons, A., et al. (2017) · Acta Neuropathologica Communications · doi:10.1186/s40478-017-0424-x · Cited by 80 · see citing works
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Mangale, V., Syage, A. R., Ekiz, H. A., Skinner, D. D., Cheng, Y., Stone, C. L., Brown, R. M., O'Connell, R. M., Green, K. N., & Lane, T. E. (2020) · Glia · doi:10.1002/glia.23844 · Cited by 71 · see citing works
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Midbrain microglia mediate a specific immunosuppressive response under inflammatory conditions
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Defects of mitochondrial RNA turnover lead to the accumulation of double-stranded RNA in vivo
Pająk, A., Laine, I., Clemente, P., Elfissi, N., Schober, F. A., Maffezzini, C., Calvo-Garrido, J., Wibom, R., Filograna, R., Dhir, A., et al. (2019) · PLoS Genetics · doi:10.1371/journal.pgen.1008240 · Cited by 55 · see citing works
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Microglia in Neurodegenerative Disorders
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Huang, K. W., & Sabatini, B. L. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.00065 · Cited by 46 · see citing works
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Quality assessment of single-cell RNA sequencing data by coverage skewness analysisPreprint
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Microglia in neurodegenerative diseases: mechanism and potential therapeutic targets
Gao, C., Jiang, J., Tan, Y., & Chen, S. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01588-0 · Cited by 1,616 · see citing works
Cholesterol Metabolism in Aging and Age-Related Disorders
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Microglia in Parkinson’s Disease
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The meninges host a distinct compartment of regulatory T cells that preserves brain homeostasis
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Microglia Heterogeneity in Alzheimer’s Disease: Insights From Single-Cell Technologies
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Microglia in Health and Disease: The Strength to Be Diverse and Reactive
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Epigenetic Modulation of Microglia Function and Phenotypes in Neurodegenerative Diseases
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Ensheathing glia promote increased lifespan and healthy brain aging
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Cell competition for neuron-derived trophic factor controls the turnover and lifespan of microglia
Yu, T., Kuang, H., Wu, X., Huang, Y., Wang, J., & Wen, Z. (2023) · Science Advances · doi:10.1126/sciadv.adf9790 · Cited by 21 · see citing works
Type I interferon signalling and interferon‐responsive microglia in health and disease
López‐Atalaya, J. P., & Bhojwani-Cabrera, A. M. (2025) · FEBS Journal · doi:10.1111/febs.70126 · Cited by 19 · see citing works
Pathogenesis and therapeutic applications of microglia receptors in Alzheimer’s disease
Fu, J., Wang, R., He, J., Liu, X., Wang, X., Yao, J., Liu, Y., Ran, C., Ye, Q., & He, Y. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1508023 · Cited by 16 · see citing works
Pramanik, S., Harini Devi, M., Chakrabarty, S., Paylar, B., Pradhan, A., Thaker, M., Ayyadhury, S., Manavalan, A., Olsson, P., Pramanik, G., et al. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105834 · Cited by 18 · see citing works
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Wang, Y., Zhang, M., & Li, W. (2025) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2025.10.018 · Cited by 12 · see citing works
Anton, P. E., Maphis, N. M., Linsenbardt, D. N., & Coleman, L. G. (2025) · Advances in experimental medicine and biology · doi:10.1007/978-3-031-81908-7_10 · Cited by 12 · see citing works
Belančić, A., Janković, T., Gkrinia, E. M. M., Kristić, I., Bumber, J. R., Rački, V., Pilipović, K., Vitezić, D., & Mršić‐Pelčić, J. (2025) · Neurology International · doi:10.3390/neurolint17030041 · Cited by 11 · see citing works
Microglial reprogramming by Hv1 antagonism protects neurons from inflammatory and glutamate toxicity
Hernández-Espinosa, D. R., Gale, J. R., Scrabis, M. G., & Aizenman, E. (2023) · Journal of Neurochemistry · doi:10.1111/jnc.15760 · Cited by 11 · see citing works
Hematopoietic stem cell gene therapy to halt neurodegeneration
Biffi, A. (2024) · Neurotherapeutics · doi:10.1016/j.neurot.2024.e00440 · Cited by 9 · see citing works
Korshoj, L. E., Shi, W., Duan, B., & Kielian, T. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.670931 · Cited by 8 · see citing works
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Ocañas, S. R., Pham, K. D., Blankenship, H. E., Machalinski, A. H., Chucair‐Elliott, A. J., & Freeman, W. M. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.07.15.452509 · Cited by 8 · see citing works
Zheng, Y., Xu, W., Suo, Z., Qu, Y., Lin, L., Zhang, E., Han, D., Wu, M., Hongyi, L. I., Zheng, H., et al. (2025) · Journal of Neuroinflammation · doi:10.1186/s12974-025-03566-5 · Cited by 8 · see citing works
Specificity and efficiency of tamoxifen-mediated Cre induction is equivalent regardless of age
Kellogg, C. M., Pham, K. D., Ko, S.-H., Cox, J. E. J., Machalinski, A. H., Stout, M. B., Sharpe, A. L., Beckstead, M. J., Chucair‐Elliott, A. J., Ocañas, S. R., et al. (2023) · iScience · doi:10.1016/j.isci.2023.108413 · Cited by 9 · see citing works
Autophagy-NLRP3 Inflammasome Crosstalk in Microglia: A Therapeutic Target for Multiple Sclerosis
Lu, J.-Q., Wang, H.-Q., Fang, M.-R., Ye, X.-M., & Song, K.-Y. (2026) · Inflammation · doi:10.1007/s10753-025-02355-9 · Cited by 6 · see citing works
Tan, Z., Xia, R., Zhao, X., Yang, Z., Liu, H., & Wang, W. (2024) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2024.103980 · Cited by 7 · see citing works
Microglia heterogeneity and therapeutic strategies in Parkinson’s disease
Tian, J., Liu, X., Wang, Z., Shi, X., Dai, C., & Yang, L. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1739341 · Cited by 6 · see citing works
Applications of single‐cell multi‐omics sequencing in deep understanding of brain diseases
Zhang, X., Lü, P., & Shen, X. (2022) · Clinical and Translational Discovery · doi:10.1002/ctd2.95 · Cited by 5 · see citing works
Nair, V. S., Plazzi, G., & Tucci, V. (2026) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2026.102283 · Cited by 5 · see citing works
Post-traumatic Neuroinflammation: Relevance to Pediatrics
Ashwal, S., Siebold, L., Krueger, A. C., & Wilson, C. G. (2021) · Pediatric Neurology · doi:10.1016/j.pediatrneurol.2021.04.010 · Cited by 4 · see citing works
Targeting Wnt signaling in Alzheimer’s disease: mechanisms and therapeutic opportunities
Zhao, X., Yang, R., Wu, J., & Sima, J. (2026) · Aging Research · doi:10.26599/agr.2026.9340068 · Cited by 1 · see citing works
Multiscale Approximations to Understand the Complex Role of Microglia in Alzheimer's Disease
Martínez-Tazo, P., Mejias‐Ortega, M., López-López, V., Bhojwani-Cabrera, A. M., Saxton, E., Canals, S., Hardingham, G. E., Gutiérrez, A., López‐Atalaya, J. P., & Santis, S. D. (2026) · European Journal of Neuroscience · doi:10.1111/ejn.70536 · Cited by 1 · see citing works
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Consistent specificity and efficiency of tamoxifen-mediated cre induction across agesPreprint
Kellogg, C. M., Pham, K. D., Ko, S., Cox, J. E. J., Machalinski, A. H., Stout, M. B., Sharpe, A. L., Beckstead, M. J., Chucair‐Elliott, A. J., Ocañas, S. R., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.19.558482 · Cited by 1 · see citing works
Microglial reprogramming by Hv1 antagonism provides protection from inflammatory neurotoxicityPreprint
Hernández-Espinosa, D. R., Gale, J. R., Scrabis, M. G., & Aizenman, E. (2022) · Research Square · doi:10.21203/rs.3.rs-1527316/v1
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Targeting microglia: A new strategy for the treatment of Alzheimer's disease
Zheng, M., Yang, M., Su, W., Tian, L., & Gao, W. (2026) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2026.578966
Microglial advances in psychiatric disorders
de Jesus, J. R., Ribeiro, I. S., Pereira, M. V. S., Aquino, W. C. P., & Alfredo, L. H. M. (2026) · Advances in immunology · doi:10.1016/bs.ai.2026.04.007
CD11c + microglia promote dysfunctional T cell activation in diffuse midline gliomaPreprint
Balevičiūtė, A., Cuesta‐Marti, C., Hincks, J., Hogan, M. M., Sharvin, B. L., McDermott, M., O'Reilly, J., Tofani, G. S. S., du Chatinier, A., Moloney, G. M., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.09.18.752751
The role of IRF5 as an immune regulator
Menocal, L., Huang, A. Y. Y., Rachelkar, A., & Barnes, B. J. (2026) · Biochemical Society Transactions · doi:10.1042/bst20250394
- Authors
- Provenzano, F., Pérez, M. J., & Deleidi, M.
- Affiliations
- German Center for Neurodegenerative Diseases (DE)
- Corresponding author
- Deleidi, Michela
- Venue
- Trends in Molecular Medicine
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 27
- Issue
- 1
- Pages
- 47-59
- ISSN
- 1471-4914 (ISSN-L)
- OpenAlex
- W3090755257
- Cited by
- 45
- References
- 109
- Citations by year
- 2026: 10 · 2025: 10 · 2024: 6 · 2023: 8 · 2022: 3 · 2021: 8
- FWCI
- 0.48
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Trends in Molecular Medicine (publishedVersion)
- PubMed (publishedVersion)
- DZNE Pub (submittedVersion)
- Funders
- Horizon 2020
- Helmholtz Association
- Topics
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
- Keywords
- microglia, microglial heterogeneity, microglial states, single-cell omics, aging, neurological disorders, microglial development, single-cell data analysis, therapeutic target
- MeSH terms
- Animals, Disease Susceptibility, Homeostasis, Humans, Microglia, Genomics, Proteomics, Metabolomics, Single-Cell Analysis
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.
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