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Epithelial response to a high-protein diet in rat colon

Overview of attention for article published in BMC Genomics, January 2017
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Title
Epithelial response to a high-protein diet in rat colon
Published in
BMC Genomics, January 2017
DOI 10.1186/s12864-017-3514-z
Pubmed ID
Authors

Martin Beaumont, Mireille Andriamihaja, Lucie Armand, Marta Grauso, Florence Jaffrézic, Denis Laloë, Marco Moroldo, Anne-Marie Davila, Daniel Tomé, François Blachier, Annaïg Lan

Abstract

High-protein diets (HPD) alter the large intestine microbiota composition in association with a metabolic shift towards protein degradation. Some amino acid-derived metabolites produced by the colon bacteria are beneficial for the mucosa while others are deleterious at high concentrations. The aim of the present work was to define the colonic epithelial response to an HPD. Transcriptome profiling was performed on colonocytes of rats fed an HPD or an isocaloric normal-protein diet (NPD) for 2 weeks. The HPD downregulated the expression of genes notably implicated in pathways related to cellular metabolism, NF-κB signaling, DNA repair, glutathione metabolism and cellular adhesion in colonocytes. In contrast, the HPD upregulated the expression of genes related to cell proliferation and chemical barrier function. These changes at the mRNA level in colonocytes were not associated with detrimental effects of the HPD on DNA integrity (comet assay), epithelium renewal (quantification of proliferation and apoptosis markers by immunohistochemistry and western blot) and colonic barrier integrity (Ussing chamber experiments). The modifications of the luminal environment after an HPD were associated with maintenance of the colonic homeostasis that might be the result of adaptive processes in the epithelium related to the observed transcriptional regulations.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 21%
Student > Bachelor 6 14%
Researcher 4 9%
Student > Master 4 9%
Student > Doctoral Student 3 7%
Other 8 19%
Unknown 9 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 26%
Biochemistry, Genetics and Molecular Biology 7 16%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Immunology and Microbiology 2 5%
Nursing and Health Professions 2 5%
Other 4 9%
Unknown 15 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 February 2017.
All research outputs
#20,400,885
of 22,950,943 outputs
Outputs from BMC Genomics
#9,312
of 10,681 outputs
Outputs of similar age
#355,962
of 420,224 outputs
Outputs of similar age from BMC Genomics
#172
of 223 outputs
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So far Altmetric has tracked 10,681 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 223 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.