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The aging lung: tissue telomere shortening in health and disease

Overview of attention for article published in Respiratory Research, May 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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23 X users
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1 Wikipedia page

Citations

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45 Dimensions

Readers on

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75 Mendeley
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Title
The aging lung: tissue telomere shortening in health and disease
Published in
Respiratory Research, May 2018
DOI 10.1186/s12931-018-0794-z
Pubmed ID
Authors

Stephanie Everaerts, Elise J. Lammertyn, Dries S. Martens, Laurens J. De Sadeleer, Karen Maes, Aernoud A. van Batenburg, Roel Goldschmeding, Coline H. M. van Moorsel, Lieven J. Dupont, Wim A. Wuyts, Robin Vos, Ghislaine Gayan-Ramirez, Naftali Kaminski, James C. Hogg, Wim Janssens, Geert M. Verleden, Tim S. Nawrot, Stijn E. Verleden, John E. McDonough, Bart M. Vanaudenaerde

Abstract

Telomere shortening has been associated with several lung diseases. However, telomere length is generally measured in peripheral blood leucocytes rather than in lung tissue, where disease occurs. Consequently, telomere dynamics have not been established for the normal human lung nor for diseased lung tissue. We hypothesized an age- and disease-dependent shortening of lung tissue telomeres. At time of (re-)transplantation or autopsy, 70 explant lungs were collected: from unused donors (normal, n = 13) and patients with cystic fibrosis (CF, n = 12), chronic obstructive pulmonary disease (COPD, n = 11), chronic hypersensitivity pneumonitis (cHP, n = 9), bronchiolitis obliterans syndrome (BOS) after prior transplantation (n = 11) and restrictive allograft syndrome (RAS) after prior transplantation (n = 14). Lungs were inflated, frozen and then scanned using CT. Four tissue cores from distinct lung regions were sampled for analysis. Disease severity was evaluated using CT and micro CT imaging. DNA was extracted from the samples and average relative telomere length (RTL) was determined using real-time qPCR. The normal lungs showed a decrease in RTL with age (p < 0.0001). Of the diseased lungs, only BOS and RAS showed significant RTL decrease with increasing lung age (p = 0.0220 and p = 0.0272 respectively). Furthermore, we found that RTL showed considerable variability between samples within both normal and diseased lungs. cHP, BOS and RAS lungs had significant shorter RTL in comparison with normal lungs, after adjustment for lung age, sex and BMI (p < 0.0001, p = 0.0051 and p = 0.0301 respectively). When investigating the relation between RTL and regional disease severity in CF, cHP and RAS, no association was found. These results show a progressive decline in telomere length with age in normal, BOS and RAS lungs. cHP, BOS and RAS lungs demonstrated shorter RTL compared to normal lungs. Lung tissue RTL does not associate with regional disease severity within the lung. Therefore, tissue RTL does not seem to fully reflect peripheral blood telomere length.

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 16%
Researcher 9 12%
Student > Doctoral Student 7 9%
Professor > Associate Professor 6 8%
Student > Bachelor 4 5%
Other 15 20%
Unknown 22 29%
Readers by discipline Count As %
Medicine and Dentistry 25 33%
Biochemistry, Genetics and Molecular Biology 8 11%
Agricultural and Biological Sciences 4 5%
Immunology and Microbiology 3 4%
Materials Science 2 3%
Other 5 7%
Unknown 28 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 11 June 2018.
All research outputs
#2,531,154
of 25,382,440 outputs
Outputs from Respiratory Research
#268
of 3,062 outputs
Outputs of similar age
#50,887
of 339,382 outputs
Outputs of similar age from Respiratory Research
#8
of 80 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,062 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done particularly well, scoring higher than 91% 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 339,382 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 80 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 90% of its contemporaries.