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Network analysis of temporal functionalities of the gut induced by perturbations in new-born piglets

Overview of attention for article published in BMC Genomics, July 2015
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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)

Mentioned by

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1 policy source
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12 tweeters

Citations

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7 Dimensions

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45 Mendeley
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Title
Network analysis of temporal functionalities of the gut induced by perturbations in new-born piglets
Published in
BMC Genomics, July 2015
DOI 10.1186/s12864-015-1733-8
Pubmed ID
Authors

Nirupama Benis, Dirkjan Schokker, Maria Suarez-Diez, Vitor AP Martins dos Santos, Hauke Smidt, Mari A Smits

Abstract

Evidence is accumulating that perturbation of early life microbial colonization of the gut induces long-lasting adverse health effects in individuals. Understanding the mechanisms behind these effects will facilitate modulation of intestinal health. The objective of this study was to identify biological processes involved in these long lasting effects and the (molecular) factors that regulate them. We used an antibiotic and the same antibiotic in combination with stress on piglets as an early life perturbation. Then we used host gene expression data from the gut (jejunum) tissue and community-scale analysis of gut microbiota from the same location of the gut, at three different time-points to gauge the reaction to the perturbation. We analysed the data by a new combination of existing tools. First, we analysed the data in two dimensions, treatment and time, with quadratic regression analysis. Then we applied network-based data integration approaches to find correlations between host gene expression and the resident microbial species. The use of a new combination of data analysis tools allowed us to identify significant long-lasting differences in jejunal gene expression patterns resulting from the early life perturbations. In addition, we were able to identify potential key gene regulators (hubs) for these long-lasting effects. Furthermore, data integration also showed that there are a handful of bacterial groups that were associated with temporal changes in gene expression. The applied systems-biology approach allowed us to take the first steps in unravelling biological processes involved in long lasting effects in the gut due to early life perturbations. The observed data are consistent with the hypothesis that these long lasting effects are due to differences in the programming of the gut immune system as induced by the temporary early life changes in the composition and/or diversity of microbiota in the gut.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 20%
Student > Ph. D. Student 7 16%
Researcher 6 13%
Student > Bachelor 3 7%
Professor > Associate Professor 3 7%
Other 8 18%
Unknown 9 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 31%
Biochemistry, Genetics and Molecular Biology 5 11%
Veterinary Science and Veterinary Medicine 3 7%
Engineering 3 7%
Medicine and Dentistry 2 4%
Other 7 16%
Unknown 11 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 July 2021.
All research outputs
#2,809,417
of 21,453,375 outputs
Outputs from BMC Genomics
#1,065
of 10,322 outputs
Outputs of similar age
#38,176
of 248,792 outputs
Outputs of similar age from BMC Genomics
#1
of 1 outputs
Altmetric has tracked 21,453,375 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,322 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 89% 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 248,792 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them