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PNAS

Effects of aging on circadian patterns of gene expression in the human prefrontal cortex

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, December 2015
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
15 news outlets
blogs
4 blogs
twitter
37 X users
facebook
3 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
210 Dimensions

Readers on

mendeley
274 Mendeley
citeulike
1 CiteULike
Title
Effects of aging on circadian patterns of gene expression in the human prefrontal cortex
Published in
Proceedings of the National Academy of Sciences of the United States of America, December 2015
DOI 10.1073/pnas.1508249112
Pubmed ID
Authors

Cho-Yi Chen, Ryan W. Logan, Tianzhou Ma, David A. Lewis, George C. Tseng, Etienne Sibille, Colleen A. McClung

Abstract

With aging, significant changes in circadian rhythms occur, including a shift in phase toward a "morning" chronotype and a loss of rhythmicity in circulating hormones. However, the effects of aging on molecular rhythms in the human brain have remained elusive. Here, we used a previously described time-of-death analysis to identify transcripts throughout the genome that have a significant circadian rhythm in expression in the human prefrontal cortex [Brodmann's area 11 (BA11) and BA47]. Expression levels were determined by microarray analysis in 146 individuals. Rhythmicity in expression was found in ∼10% of detected transcripts (P < 0.05). Using a metaanalysis across the two brain areas, we identified a core set of 235 genes (q < 0.05) with significant circadian rhythms of expression. These 235 genes showed 92% concordance in the phase of expression between the two areas. In addition to the canonical core circadian genes, a number of other genes were found to exhibit rhythmic expression in the brain. Notably, we identified more than 1,000 genes (1,186 in BA11; 1,591 in BA47) that exhibited age-dependent rhythmicity or alterations in rhythmicity patterns with aging. Interestingly, a set of transcripts gained rhythmicity in older individuals, which may represent a compensatory mechanism due to a loss of canonical clock function. Thus, we confirm that rhythmic gene expression can be reliably measured in human brain and identified for the first time (to our knowledge) significant changes in molecular rhythms with aging that may contribute to altered cognition, sleep, and mood in later life.

X Demographics

X Demographics

The data shown below were collected from the profiles of 37 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 274 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 2 <1%
Sweden 2 <1%
United Kingdom 2 <1%
Czechia 1 <1%
Spain 1 <1%
United States 1 <1%
Luxembourg 1 <1%
Iraq 1 <1%
Unknown 263 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 55 20%
Researcher 44 16%
Student > Master 29 11%
Student > Bachelor 29 11%
Student > Doctoral Student 15 5%
Other 49 18%
Unknown 53 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 18%
Neuroscience 43 16%
Biochemistry, Genetics and Molecular Biology 37 14%
Medicine and Dentistry 26 9%
Psychology 16 6%
Other 29 11%
Unknown 75 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 159. 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 01 August 2022.
All research outputs
#244,413
of 24,625,114 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#4,605
of 101,438 outputs
Outputs of similar age
#4,135
of 400,902 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#85
of 832 outputs
Altmetric has tracked 24,625,114 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 101,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one has done particularly well, scoring higher than 95% 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 400,902 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 98% of its contemporaries.
We're also able to compare this research output to 832 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.