↓ Skip to main content

Aging

Article Metrics

Aging of mice is associated with p16(Ink4a)- and β-galactosidase-positive macrophage accumulation that can be induced in young mice by senescent cells

Overview of attention for article published in Aging, July 2016
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 2,465)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Citations

dimensions_citation
150 Dimensions

Readers on

mendeley
270 Mendeley
citeulike
1 CiteULike
Title
Aging of mice is associated with p16(Ink4a)- and β-galactosidase-positive macrophage accumulation that can be induced in young mice by senescent cells
Published in
Aging, July 2016
DOI 10.18632/aging.100991
Pubmed ID
Authors

Brandon M. Hall, Vitaly Balan, Anatoli S. Gleiberman, Evguenia Strom, Peter Krasnov, Lauren P. Virtuoso, Elena Rydkina, Slavoljub Vujcic, Karina Balan, Ilya Gitlin, Katerina Leonova, Alexander Polinsky, Olga B. Chernova, Andrei V. Gudkov

Abstract

Senescent cells (SCs) have been considered a source of age-related chronic sterile systemic inflammation and a target for anti-aging therapies. To understand mechanisms controlling the amount of SCs, we analyzed the phenomenon of rapid clearance of human senescent fibroblasts implanted into SCID mice, which can be overcome when SCs were embedded into alginate beads preventing them from immunocyte attack. To identify putative SC killers, we analyzed the content of cell populations in lavage and capsules formed around the SC-containing beads. One of the major cell types attracted by secretory factors of SCs was a subpopulation of macrophages characterized by p16(Ink4a) gene expression and β-galactosidase activity at pH6.0 (β-gal(pH6)), thus resembling SCs. Consistently, mice with p16(Ink4a) promoter-driven luciferase, developed bright luminescence of their peritoneal cavity within two weeks following implantation of SCs embedded in alginate beads. p16(Ink4a)/β-gal(pH6)-expressing cells had surface biomarkers of macrophages F4/80 and were sensitive to liposomal clodronate used for the selective killing of cells capable of phagocytosis. At the same time, clodronate failed to kill bona fide SCs generated in vitro by genotoxic stress. Old mice with elevated proportion of p16(Ink4a)/β-gal(pH6)-positive cells in their tissues demonstrated reduction of both following systemic clodronate treatment, indicating that a significant proportion of cells previously considered to be SCs are actually a subclass of macrophages. These observations point at a significant role of p16(Ink4a)/β-gal(pH6)-positive macrophages in aging, which previously was attributed solely to SCs. They require re-interpretation of the mechanisms underlying rejuvenating effects following eradication of p16(Ink4a)/β-gal(pH6)-positive cells and reconsideration of potential cellular target for anti-aging treatment.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 270 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 1 <1%
Sweden 1 <1%
Unknown 268 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 61 23%
Researcher 50 19%
Student > Master 36 13%
Student > Bachelor 34 13%
Student > Doctoral Student 16 6%
Other 26 10%
Unknown 47 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 84 31%
Agricultural and Biological Sciences 47 17%
Medicine and Dentistry 29 11%
Immunology and Microbiology 15 6%
Neuroscience 9 3%
Other 28 10%
Unknown 58 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 482. 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 02 September 2019.
All research outputs
#28,814
of 17,391,055 outputs
Outputs from Aging
#4
of 2,465 outputs
Outputs of similar age
#916
of 271,301 outputs
Outputs of similar age from Aging
#1
of 38 outputs
Altmetric has tracked 17,391,055 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,465 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has done particularly well, scoring higher than 99% of its peers.
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 271,301 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.