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Proteomic analysis of aged microglia: shifts in transcription, bioenergetics, and nutrient response

Overview of attention for article published in Journal of Neuroinflammation, May 2017
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Title
Proteomic analysis of aged microglia: shifts in transcription, bioenergetics, and nutrient response
Published in
Journal of Neuroinflammation, May 2017
DOI 10.1186/s12974-017-0840-7
Pubmed ID
Authors

Antwoine Flowers, Harris Bell-Temin, Ahmad Jalloh, Stanley M. Stevens, Paula C. Bickford

Abstract

Age is the primary risk factor for many diseases. As such, age is a critical co-factor for examination in order to understand the progression and potential intervention in disease progression. Studies examining both the phenotype and transcriptome of aged microglia demonstrated a propensity for the development of a pro-inflammatory phenotype. Less well studied is the concomitant blunting of anti-inflammatory aspects of microglial function with age which also impact plasticity and repair in the CNS. This study utilizes mass spectrometry-based proteomics to compare primary microglia from young and aged animals. This study revealed alterations in three clusters of inter-related proteins. The three pathways were inflammatory signaling, mitochondrial function, and cellular metabolism. Analysis of these clusters identified the protein rapamycin-insensitive companion of mTOR (RICTOR), a component of the mTORC2 complex, as a novel upstream regulator of several biological functions that are altered with age and potentially linked to phenotype development. A decrease in mTORC2-dependent AKT S473 phosphorylation, as assessed by insulin growth factor (IGF) treatment, was observed in aged microglia. This novel finding was confirmed by genetic manipulation of the microglial cell line. BV2 cells with diminished RICTOR displayed a phenotype that was strikingly similar to that of aged microglia. This finding is particularly relevant as the mTOR pathway already has a number of pharmacological modulators used clinically. The results suggest that microglia from aged mice show changes in cellular metabolism and energy regulation that might underlie the alterations in inflammatory signaling. Modulation of one pathway identified in our bioinformatic analysis, RICTOR, may provide an avenue by which deleterious aspects of the aging microglia can be attenuated. If successful, this could mean potentially delaying or diminishing the progress of diseases for which progressive inflammation is involved.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 136 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 21%
Student > Ph. D. Student 27 20%
Student > Master 15 11%
Student > Bachelor 12 9%
Student > Postgraduate 6 4%
Other 15 11%
Unknown 33 24%
Readers by discipline Count As %
Neuroscience 32 24%
Biochemistry, Genetics and Molecular Biology 22 16%
Agricultural and Biological Sciences 19 14%
Immunology and Microbiology 6 4%
Chemistry 3 2%
Other 18 13%
Unknown 36 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 May 2017.
All research outputs
#17,890,958
of 22,968,808 outputs
Outputs from Journal of Neuroinflammation
#1,953
of 2,650 outputs
Outputs of similar age
#221,972
of 310,917 outputs
Outputs of similar age from Journal of Neuroinflammation
#39
of 52 outputs
Altmetric has tracked 22,968,808 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,650 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 21st percentile – i.e., 21% 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 310,917 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.