Time-Dependent Changes in Microglia Transcriptional Networks Following Traumatic Brain Injury
Open accessAbstract
The neuroinflammatory response to traumatic brain injury (TBI) is critical to both neurotoxicity and neuroprotection, and has been proposed as a potentially modifiable driver of secondary injury in animal and human studies. Attempts to broadly target immune activation have been unsuccessful in improving outcomes, in part because the precise cellular and molecular mechanisms driving injury and outcome at acute, subacute, and chronic time points after TBI remain poorly defined. Microglia play a critical role in neuroinflammation and their persistent activation may contribute to long-term functional deficits. Activated microglia are characterized by morphological transformation and transcriptomic changes associated with specific inflammatory states. We analyzed the temporal course of changes in inflammatory genes of microglia isolated from injured brains at 2, 14, and 60 days after controlled cortical impact (CCI) in mice, a well-established model of focal cerebral contusion. We identified a time dependent, injury-associated change in the microglial gene expression profile toward a reduced ability to sense tissue damage, perform housekeeping, and maintain homeostasis in the early stages following CCI, with recovery and transition to a specialized inflammatory state over time. This later state starts at 14 days post-injury and is characterized by a biphasic pattern of IFNγ, IL-4, and IL-10 gene expression changes, with concurrent proinflammatory and anti-inflammatory gene changes. Our transcriptomic data sets are an important step to understand microglial role in TBI pathogenesis at the molecular level and identify common pathways that affect outcome. More studies to evaluate gene expression at the single cell level and focusing on subacute and chronic timepoint are warranted.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
Microglia associated with the long-term inflammatory phenotype following TBI are commonly defined as MHC-II/CD86/Cd11b positive, with upregulated expression of NOX24, Tlr4, Trem2, CD68, Clec7a, and Stat1, and higher expression of interferon- and immune-associated signaling genes.
“Microglia associated with the long-term inflammatory phenotype following TBI are commonly defined as MHC-II/CD86/Cd11b positive, with upregulated expression of NOX24, Tlr4, Trem2, CD68, Clec7a, and Stat1, and higher expression of interferon- and immune-associated signaling genes [100,112,115,116].”
From Untangling senescent and damage‐associated microglia in the aging and diseased brain (2023) · cites this paper as [115]
p21 levels may decrease in 'late' senescence or when senescence has been achieved, whereas high levels of p16 are thought to be maintained throughout senescence.
“p21 levels may also decrease in ‘late’ senescence or when senescence has been achieved [115,158], whereas high levels of p16 are thought to be maintained throughout senescence [158,159].”
From Untangling senescent and damage‐associated microglia in the aging and diseased brain (2023) · cites this paper as [115]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 99 · Cited by 110
- Authors
- Izzy, S., Liu, Q., Fang, Z., Lule, S., Wu, L., Chung, J. Y., Sarro-Schwartz, A., Brown-Whalen, A., Perner, C., Hickman, S. E., Kaplan, D. L., Patsopoulos, N. A., El Khoury, J., & Whalen, M. J.
- Affiliations
- Brigham and Women's Hospital (US)
- Shanghai Medical College of Fudan University (CN)
- Broad Institute (US)
- Harvard University (US)
- Tufts University (US)
- Corresponding author
- Whalen, Michael J.
- ORCID
- Venue
- Frontiers in Cellular Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2019-08-08
- Volume
- 13
- Pages
- 307-307
- ISSN
- 1662-5102 (ISSN-L)
- PMC
- PMC6694299
- OpenAlex
- W2968346446
- Cited by
- 110
- References
- 99
- Citations by year
- 2026: 10 · 2025: 18 · 2024: 21 · 2023: 7 · 2022: 21 · 2021: 22 · 2020: 11
- FWCI
- 9.64
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Cellular Neuroscience (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- National Institute on Aging (RF1AG051506)
- National Institute of Neurological Disorders and Stroke (R01NS092847)
- Topics
- Health Sciences › Medicine › Neurology › Traumatic Brain Injury and Neurovascular Disturbances
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Health Sciences › Medicine › Epidemiology › Traumatic Brain Injury Research
- Keywords
- traumatic brain injury, microglia, neuroinflammation, microglial gene expression, controlled cortical impact, cerebral contusion, interferon-gamma, IL-4, IL-10, microglial activation, transcriptomic networks
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