The DOI matches its Crossref record; 106 of the 106 references it cites were found in a registry or an index.
Review: Activation patterns of microglia and their identification in the human brain
Abstract
Microglia in the central nervous system are usually maintained in a quiescent state. When activated, they can perform many diverse functions which may be either beneficial or harmful depending on the situation. Although microglial activation may be accompanied by changes in morphology, morphological changes cannot accurately predict the function being undertaken by a microglial cell. Studies of peripheral macrophages and in vitro and animal studies of microglia have resulted in the definition of specific activation states: M 1 (classical activation) and M 2 (sometimes subdivided into alternative activation and acquired deactivation). Some authors have suggested that these might be an overlapping continuum of functions rather than discrete categories. In this review, we consider translational aspects of our knowledge of microglia: specifically, we discuss the question as to what extent different activation states of microglia exist in the human central nervous system, which tools can be used to identify them and emerging evidence for such changes in ageing and in A lzheimer's disease.
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Cites
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Role of pro-inflammatory cytokines released from microglia in Alzheimer's disease.
(2015) · Europe PMC (PubMed Central) · doi:10.3978/j.issn.2305-5839.2015.03.49 · Cited by 1,288
Metadata
- Authors
- Boche, D., Perry, V. H., & Nicoll, J. A. R.
- Venue
- Neuropathology and Applied Neurobiology
- Publisher
- Wiley
- Published
- 2013-01-22
- Volume
- 39
- Issue
- 1
- Pages
- 3-18
- ISSN
- 0305-1846 (ISSN-L)
- 1365-2990
- OpenAlex
- W2108435419
- Cited by
- 912
- References
- 106
- FWCI
- 19.85
- Type
- journal article
- Language
- en
- Open access
- closed
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- Boche, D., Perry, V. H., & Nicoll, J. A. R. (2013). Review: Activation patterns of microglia and their identification in the human brain. Neuropathology and Applied Neurobiology. https://doi.org/10.1111/nan.12011
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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