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The influence of a short-term gluten-free diet on the human gut microbiome

Overview of attention for article published in Genome Medicine, April 2016
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
2 news outlets
blogs
5 blogs
twitter
116 X users
facebook
27 Facebook pages
googleplus
3 Google+ users
reddit
1 Redditor
video
1 YouTube creator

Citations

dimensions_citation
205 Dimensions

Readers on

mendeley
487 Mendeley
citeulike
2 CiteULike
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Title
The influence of a short-term gluten-free diet on the human gut microbiome
Published in
Genome Medicine, April 2016
DOI 10.1186/s13073-016-0295-y
Pubmed ID
Authors

Marc Jan Bonder, Ettje F. Tigchelaar, Xianghang Cai, Gosia Trynka, Maria C. Cenit, Barbara Hrdlickova, Huanzi Zhong, Tommi Vatanen, Dirk Gevers, Cisca Wijmenga, Yang Wang, Alexandra Zhernakova

Abstract

A gluten-free diet (GFD) is the most commonly adopted special diet worldwide. It is an effective treatment for coeliac disease and is also often followed by individuals to alleviate gastrointestinal complaints. It is known there is an important link between diet and the gut microbiome, but it is largely unknown how a switch to a GFD affects the human gut microbiome. We studied changes in the gut microbiomes of 21 healthy volunteers who followed a GFD for four weeks. We collected nine stool samples from each participant: one at baseline, four during the GFD period, and four when they returned to their habitual diet (HD), making a total of 189 samples. We determined microbiome profiles using 16S rRNA sequencing and then processed the samples for taxonomic and imputed functional composition. Additionally, in all 189 samples, six gut health-related biomarkers were measured. Inter-individual variation in the gut microbiota remained stable during this short-term GFD intervention. A number of taxon-specific differences were seen during the GFD: the most striking shift was seen for the family Veillonellaceae (class Clostridia), which was significantly reduced during the intervention (p = 2.81 × 10(-05)). Seven other taxa also showed significant changes; the majority of them are known to play a role in starch metabolism. We saw stronger differences in pathway activities: 21 predicted pathway activity scores showed significant association to the change in diet. We observed strong relations between the predicted activity of pathways and biomarker measurements. A GFD changes the gut microbiome composition and alters the activity of microbial pathways.

X Demographics

X Demographics

The data shown below were collected from the profiles of 116 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 487 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Chile 1 <1%
Norway 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
Denmark 1 <1%
Spain 1 <1%
Poland 1 <1%
Other 0 0%
Unknown 478 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 71 15%
Researcher 67 14%
Student > Bachelor 64 13%
Student > Ph. D. Student 55 11%
Other 34 7%
Other 73 15%
Unknown 123 25%
Readers by discipline Count As %
Medicine and Dentistry 79 16%
Agricultural and Biological Sciences 68 14%
Biochemistry, Genetics and Molecular Biology 57 12%
Nursing and Health Professions 47 10%
Immunology and Microbiology 25 5%
Other 67 14%
Unknown 144 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 128. 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 09 October 2023.
All research outputs
#330,221
of 25,711,518 outputs
Outputs from Genome Medicine
#52
of 1,608 outputs
Outputs of similar age
#5,921
of 314,463 outputs
Outputs of similar age from Genome Medicine
#7
of 38 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,608 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has done particularly well, scoring higher than 96% 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 314,463 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 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.