The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
Traumatic brain injury in aged animals increases lesion size and chronically alters microglial/macrophage classical and alternative activation states
Open accessAbstract
Traumatic brain injury (TBI) causes chronic microglial activation that contributes to subsequent neurodegeneration, with clinical outcomes declining as a function of aging. Microglia/macrophages (MG/Mɸ) have multiple phenotypes, including a classically activated, proinflammatory (M1) state that might contribute to neurotoxicity, and an alternatively activated (M2) state that might promote repair. In this study we used gene expression, immunohistochemical, and stereological analyses to show that TBI in aged versus young mice caused larger lesions associated with an M1/M2 balance switch and increased numbers of reactive (bushy and hypertrophic) MG/Mɸ in the cortex, hippocampus, and thalamus. Chitinase3-like 3 (Ym1), an M2 phenotype marker, displayed heterogeneous expression after TBI with amoeboid-like Ym1-positive MG/Mɸ at the contusion site and ramified Ym1-positive MG/Mɸ at distant sites; this distribution was age-related. Aged-injured mice also showed increased MG/Mɸ expression of major histocompatibility complex II and NADPH oxidase, and reduced antioxidant enzyme expression which was associated with lesion size and neurodegeneration. Thus, altered relative M1/M2 activation and an nicotinamide adenine dinucleotide phosphate oxidase (NADPH oxidase)-mediated shift in redox state might contribute to worse outcomes observed in older TBI animals by creating a more proinflammatory M1 MG/Mɸ activation state.
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“The mode of activation following TBI is somewhat age-dependent and may be less neuroprotective and more toxic in older animals [109].”
From Untangling senescent and damage‐associated microglia in the aging and diseased brain (2023) · cites this paper as [109]
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“Elderly individuals are at greater risk to suffer significant cognitive impairment and early morbidity following TBI, potentially due to an already present dysfunction in the microglial compartment [109,122,123].”
From Untangling senescent and damage‐associated microglia in the aging and diseased brain (2023) · cites this paper as [109]
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Cites
The chemokine system in diverse forms of macrophage activation and polarization
MANTOVANI, A., SICA, A., SOZZANI, S., ALLAVENA, P., VECCHI, A., & LOCATI, M. (2004) · Trends in Immunology · doi:10.1016/j.it.2004.09.015 · Cited by 6,534
Alternative activation of macrophages
Gordon, S. (2003) · Nature Reviews Immunology · doi:10.1038/nri978 · Cited by 6,189
Microglia-mediated neurotoxicity: uncovering the molecular mechanisms
Block, M. L., Zecca, L., & Hong, J.-S. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2038 · Cited by 4,110
National Center for Injury Prevention and Control (U.S.). Division of Injury Response., Faul, M., Wald, M. M., Wu, L., & Coronado, V. G. (2010) · doi:10.15620/cdc.5571 · Cited by 3,494
Kigerl, K. A., Gensel, J. C., Ankeny, D. P., Alexander, J. K., Donnelly, D. J., & Popovich, P. G. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.3257-09.2009 · Cited by 2,130
Microglia and inflammation-mediated neurodegeneration: Multiple triggers with a common mechanism
Block, M. L., & Hong, J.-S. (2005) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2005.06.004 · Cited by 1,557
Microglial Activation and Chronic Neurodegeneration
Lull, M. E., & Block, M. L. (2010) · Neurotherapeutics · doi:10.1016/j.nurt.2010.05.014 · Cited by 1,047 · cited 4×
“…species (ROS) by phagocytic cells including MG. NADPH oxidase has been implicated as a common and essential mechanism of MGmediated neurotoxicity (Lull and Block, 2010), and NADPH oxidase plays a critical role in the modulation of MG/MΦ activation phenotype and subsequent inflammatory…”
BackgroundInfluentialHeterogeneity of Microglial Activation in the Innate Immune Response in the Brain
Colton, C. A. (2009) · Journal of Neuroimmune Pharmacology · doi:10.1007/s11481-009-9164-4 · Cited by 916
Godbout, J. P., Chen, J., Abraham, J., Richwine, A. F., Berg, B. M., Kelley, K. W., & Johnson, R. W. (2005) · The FASEB Journal · doi:10.1096/fj.05-3776fje · Cited by 813
Neuroinflammation after traumatic brain injury: Opportunities for therapeutic intervention
Kumar, A., & Loane, D. J. (2012) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2012.06.008 · Cited by 710
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Neuroinflammation and M2 Microglia: The Good, the Bad, and the Inflamed
Cherry, J. D., Olschowka, J. A., & O’Banion, M. K. (2014) · Journal of Neuroinflammation · doi:10.1186/1742-2094-11-98 · Cited by 1,748
Neuroinflammation: The Devil Is in the Details
DiSabato, D. J., Quan, N., & Godbout, J. P. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13607 · Cited by 1,640
Overview of General and Discriminating Markers of Differential Microglia Phenotypes
Jurga, A. M., Paleczna, M., & Kuter, K. Z. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.00198 · Cited by 1,000
Modulators of microglial activation and polarization after intracerebral haemorrhage
Lan, X., Han, X., Li, Q., Yang, Q.-W., & Wang, J. (2017) · Nature Reviews Neurology · doi:10.1038/nrneurol.2017.69 · Cited by 915
Microglia in the TBI brain: The good, the bad, and the dysregulated
Loane, D. J., & Kumar, A. (2015) · Experimental Neurology · doi:10.1016/j.expneurol.2015.08.018 · Cited by 850
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Metadata
- Authors
- Kumar, A., Stoica, B. A., Sabirzhanov, B., Burns, M. P., Faden, A. I., & Loane, D. J.
- Affiliations
- University of Maryland, Baltimore (US)
- Georgetown University Medical Center (US)
- Corresponding author
- Loane, David J.
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2013-05
- Volume
- 34
- Issue
- 5
- Pages
- 1397-1411
- ISSN
- 0197-4580 (ISSN-L)
- PMC
- PMC3572914
- OpenAlex
- W2043020388
- Cited by
- 244
- References
- 69
- Citations by year
- 2026: 7 · 2025: 8 · 2024: 13 · 2023: 10 · 2022: 14 · 2021: 16 · 2020: 21 · 2019: 15 · 2018: 21 · 2017: 24 · 2016: 33 · 2015: 27 · 2014: 25 · 2013: 10
- FWCI
- 12.91
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neurobiology of Aging (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Capital Area Rehabilitation Research Network (R24HD050845)
- Topics
- Health Sciences › Medicine › Clinical Neurology › Traumatic Brain Injury and Neurovascular Disturbances
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Health Sciences › Medicine › Clinical Neurology › Traumatic Brain Injury Research
- Keywords
- traumatic brain injury, aging, microglial activation, macrophages, macrophage polarization, Ym1, NADPH oxidase, MHC class II, antioxidant enzymes, neurodegeneration, lesion size, reactive microglia, redox state, proinflammation
- MeSH terms
- Aging, Animals, Brain, Brain Injuries, Cells, Cultured, Chronic Disease, Macrophage Activation, Macrophages, Male, Mice, Inbred C57BL, Microglia, Mice
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