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Inflammation leads to distinct populations of extracellular vesicles from microglia

Overview of attention for article published in Journal of Neuroinflammation, May 2018
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Title
Inflammation leads to distinct populations of extracellular vesicles from microglia
Published in
Journal of Neuroinflammation, May 2018
DOI 10.1186/s12974-018-1204-7
Pubmed ID
Authors

Yiyi Yang, Antonio Boza-Serrano, Christopher J. R. Dunning, Bettina Hjelm Clausen, Kate Lykke Lambertsen, Tomas Deierborg

Abstract

Activated microglia play an essential role in inflammatory responses elicited in the central nervous system (CNS). Microglia-derived extracellular vesicles (EVs) are suggested to be involved in propagation of inflammatory signals and in the modulation of cell-to-cell communication. However, there is a lack of knowledge on the regulation of EVs and how this in turn facilitates the communication between cells in the brain. Here, we characterized microglial EVs under inflammatory conditions and investigated the effects of inflammation on the EV size, quantity, and protein content. We have utilized western blot, nanoparticle tracking analysis (NTA), and mass spectrometry to characterize EVs and examine the alterations of secreted EVs from a microglial cell line (BV2) following lipopolysaccharide (LPS) and tumor necrosis factor (TNF) inhibitor (etanercept) treatments, or either alone. The inflammatory responses were measured with multiplex cytokine ELISA and western blot. We also subjected TNF knockout mice to experimental stroke (permanent middle cerebral artery occlusion) and validated the effect of TNF inhibition on EV release. Our analysis of EVs originating from activated BV2 microglia revealed a significant increase in the intravesicular levels of TNF and interleukin (IL)-6. We also observed that the number of EVs released was reduced both in vitro and in vivo when inflammation was inhibited via the TNF pathway. Finally, via mass spectrometry, we identified 49 unique proteins in EVs released from LPS-activated microglia compared to control EVs (58 proteins in EVs released from LPS-activated microglia and 37 from control EVs). According to Gene Ontology (GO) analysis, we found a large increase of proteins related to translation and transcription in EVs from LPS. Importantly, we showed a distinct profile of proteins found in EVs released from LPS treated cells compared to control. We demonstrate altered EV production in BV2 microglial cells and altered cytokine levels and protein composition carried by EVs in response to LPS challenge. Our findings provide new insights into the potential roles of EVs that could be related to the pathogenesis in neuroinflammatory diseases.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 182 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 20%
Student > Bachelor 22 12%
Student > Master 18 10%
Researcher 16 9%
Student > Doctoral Student 10 5%
Other 21 12%
Unknown 59 32%
Readers by discipline Count As %
Neuroscience 38 21%
Biochemistry, Genetics and Molecular Biology 24 13%
Agricultural and Biological Sciences 15 8%
Medicine and Dentistry 12 7%
Immunology and Microbiology 6 3%
Other 19 10%
Unknown 68 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 November 2019.
All research outputs
#14,130,357
of 23,085,832 outputs
Outputs from Journal of Neuroinflammation
#1,526
of 2,660 outputs
Outputs of similar age
#180,712
of 330,903 outputs
Outputs of similar age from Journal of Neuroinflammation
#40
of 81 outputs
Altmetric has tracked 23,085,832 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,660 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 330,903 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.