↓ Skip to main content

Gut microbiota changes in the extreme decades of human life: a focus on centenarians

Overview of attention for article published in Cellular and Molecular Life Sciences, October 2017
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
policy
1 policy source
twitter
24 X users
patent
2 patents
facebook
4 Facebook pages

Citations

dimensions_citation
174 Dimensions

Readers on

mendeley
334 Mendeley
Title
Gut microbiota changes in the extreme decades of human life: a focus on centenarians
Published in
Cellular and Molecular Life Sciences, October 2017
DOI 10.1007/s00018-017-2674-y
Pubmed ID
Authors

Aurelia Santoro, Rita Ostan, Marco Candela, Elena Biagi, Patrizia Brigidi, Miriam Capri, Claudio Franceschi

Abstract

The gut microbiota (GM) is a complex, evolutionarily molded ecological system, which contributes to a variety of physiological functions. The GM is highly dynamic, being sensitive to environmental stimuli, and its composition changes over the host's entire lifespan. However, the basic question of how much these changes may be ascribed to variables such as population, diet, genetics and gender, and/or to the aging process per se is still largely unanswered. We argue that comparison among studies on centenarians-the best model of healthy aging and longevity-recruited from different geographical areas/populations (different genetics and dietary habits) can help to disentangle the contribution of aging and non-aging-related variables to GM remodeling with age. The current review focuses on the role of population, gender and host genetics as possible drivers of GM modification along the human aging process. The feedback impact of age-associated GM variation on the GM-brain axis and GM metabolomics is also discussed. We likewise address the role of GM in neurodegenerative diseases such as Parkinson's and Alzheimer's, and its possible therapeutic use, taking advantage of the fact that centenarians are characterized by an extreme (healthy) phenotype versus patients suffering from age-related pathologies. Finally, it is argued that longitudinal studies combining metagenomics sequencing and in-depth phylogenetic analysis with a comprehensive phenotypic characterization of centenarians and patients using up-to-date omics (metabolomics, transcriptomics and meta-transcriptomics) are urgently needed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 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 334 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 334 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 48 14%
Researcher 40 12%
Student > Bachelor 40 12%
Student > Ph. D. Student 39 12%
Unspecified 29 9%
Other 47 14%
Unknown 91 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 46 14%
Medicine and Dentistry 40 12%
Unspecified 29 9%
Agricultural and Biological Sciences 28 8%
Immunology and Microbiology 18 5%
Other 67 20%
Unknown 106 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 March 2024.
All research outputs
#1,057,307
of 25,508,813 outputs
Outputs from Cellular and Molecular Life Sciences
#92
of 5,907 outputs
Outputs of similar age
#21,871
of 336,925 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#2
of 71 outputs
Altmetric has tracked 25,508,813 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,907 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done particularly well, scoring higher than 98% 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 336,925 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 93% of its contemporaries.
We're also able to compare this research output to 71 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 98% of its contemporaries.