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Commensal bacteria make GPCR ligands that mimic human signalling molecules

Overview of attention for article published in Nature, August 2017
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Citations

dimensions_citation
376 Dimensions

Readers on

mendeley
902 Mendeley
citeulike
6 CiteULike
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Title
Commensal bacteria make GPCR ligands that mimic human signalling molecules
Published in
Nature, August 2017
DOI 10.1038/nature23874
Pubmed ID
Authors

Louis J. Cohen, Daria Esterhazy, Seong-Hwan Kim, Christophe Lemetre, Rhiannon R. Aguilar, Emma A. Gordon, Amanda J. Pickard, Justin R. Cross, Ana B. Emiliano, Sun M. Han, John Chu, Xavier Vila-Farres, Jeremy Kaplitt, Aneta Rogoz, Paula Y. Calle, Craig Hunter, J. Kipchirchir Bitok, Sean F. Brady

Abstract

Commensal bacteria are believed to have important roles in human health. The mechanisms by which they affect mammalian physiology remain poorly understood, but bacterial metabolites are likely to be key components of host interactions. Here we use bioinformatics and synthetic biology to mine the human microbiota for N-acyl amides that interact with G-protein-coupled receptors (GPCRs). We found that N-acyl amide synthase genes are enriched in gastrointestinal bacteria and the lipids that they encode interact with GPCRs that regulate gastrointestinal tract physiology. Mouse and cell-based models demonstrate that commensal GPR119 agonists regulate metabolic hormones and glucose homeostasis as efficiently as human ligands, although future studies are needed to define their potential physiological role in humans. Our results suggest that chemical mimicry of eukaryotic signalling molecules may be common among commensal bacteria and that manipulation of microbiota genes encoding metabolites that elicit host cellular responses represents a possible small-molecule therapeutic modality (microbiome-biosynthetic gene therapy).

X Demographics

X Demographics

The data shown below were collected from the profiles of 1,045 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 902 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 902 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 193 21%
Student > Ph. D. Student 176 20%
Student > Master 94 10%
Student > Bachelor 79 9%
Student > Doctoral Student 47 5%
Other 156 17%
Unknown 157 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 209 23%
Agricultural and Biological Sciences 200 22%
Immunology and Microbiology 90 10%
Medicine and Dentistry 78 9%
Chemistry 48 5%
Other 90 10%
Unknown 187 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 745. 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 02 January 2024.
All research outputs
#28,467
of 26,486,749 outputs
Outputs from Nature
#2,612
of 100,709 outputs
Outputs of similar age
#473
of 328,997 outputs
Outputs of similar age from Nature
#38
of 834 outputs
Altmetric has tracked 26,486,749 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 100,709 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 103.2. This one has done particularly well, scoring higher than 97% 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 328,997 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 99% of its contemporaries.
We're also able to compare this research output to 834 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 95% of its contemporaries.