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Serum N-glycan profile shift during human ageing

Overview of attention for article published in Experimental Gerontology, August 2010
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 X user
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1 patent
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1 Facebook page
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1 YouTube creator

Citations

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108 Dimensions

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103 Mendeley
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1 CiteULike
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Title
Serum N-glycan profile shift during human ageing
Published in
Experimental Gerontology, August 2010
DOI 10.1016/j.exger.2010.08.009
Pubmed ID
Authors

Valerie Vanhooren, Sylviane Dewaele, Claude Libert, Sebastiaan Engelborghs, Peter Paul De Deyn, Olivier Toussaint, Florence Debacq-Chainiaux, Michel Poulain, Youri Glupczynski, Claudio Franceschi, Koos Jaspers, Ingrid van der Pluijm, Jan Hoeijmakers, Cuiying Chitty Chen

Abstract

Biomarkers indicating biological age are of significant interest for prevention, diagnosis and monitoring (and the treatment) of age-related diseases. We previously reported an alteration of serum N-glycan profile in old humans using "DNA Sequencer Adapted-Fluorophore Assisted Carbohydrate Electrophoresis" (DSA-FACE). To validate the shift in serum N-glycan profile during ageing, we studied serum N-glycan profiles in different age groups of healthy volunteers, patients with dementia, and patients with Cockayne syndrome, a genetic DNA repair disorder involving neurodegeneration and premature ageing. We found that the log of the ratio of two glycans (NGA2F and NA2F), named GlycoAgeTest, remained steady up to the age of 40years and thereafter gradually increased to reach its highest level in nonagenarians. Patients with dementia or Cockayne syndrome had a higher GlycoAgeTest level than age-matched healthy individuals. We thus demonstrate that the value of GlycoAgeTest is better than chronological age for estimating the physiological age of a human individual, and that it could be used as an ageing biomarker for healthy humans. Our data indicate that the GlycoAgeTest could be used as a non-invasive surrogate marker for general health, for forecasting disease progression during ageing, and for monitoring the efficacy of anti-ageing food compounds.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Spain 1 <1%
United States 1 <1%
Germany 1 <1%
Unknown 99 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 19%
Researcher 18 17%
Student > Master 14 14%
Student > Bachelor 11 11%
Student > Doctoral Student 6 6%
Other 21 20%
Unknown 13 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 27%
Biochemistry, Genetics and Molecular Biology 24 23%
Medicine and Dentistry 11 11%
Chemistry 5 5%
Neuroscience 4 4%
Other 15 15%
Unknown 16 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 30 April 2022.
All research outputs
#7,778,510
of 25,374,647 outputs
Outputs from Experimental Gerontology
#1,187
of 2,796 outputs
Outputs of similar age
#35,626
of 103,528 outputs
Outputs of similar age from Experimental Gerontology
#9
of 17 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,796 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has gotten more attention than average, scoring higher than 57% 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 103,528 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.