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Microbial metabolites regulate host lipid metabolism through NR5A–Hedgehog signalling

Overview of attention for article published in Nature Cell Biology, April 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 (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Citations

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79 Dimensions

Readers on

mendeley
107 Mendeley
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1 CiteULike
Title
Microbial metabolites regulate host lipid metabolism through NR5A–Hedgehog signalling
Published in
Nature Cell Biology, April 2017
DOI 10.1038/ncb3515
Pubmed ID
Authors

Chih-Chun Janet Lin, Meng C. Wang

Abstract

Microorganisms and their hosts share the same environment, and microbial metabolic molecules (metabolites) exert crucial effects on host physiology. Environmental factors not only shape the composition of the host's resident microorganisms, but also modulate their metabolism. However, the exact molecular relationship among the environment, microbial metabolites and host metabolism remains largely unknown. Here, we discovered that environmental methionine tunes bacterial methyl metabolism to regulate host mitochondrial dynamics and lipid metabolism in Caenorhabditis elegans through an endocrine crosstalk involving NR5A nuclear receptor and Hedgehog signalling. We discovered that methionine deficiency in bacterial medium decreases the production of bacterial metabolites that are essential for phosphatidylcholine synthesis in C. elegans. Reductions of diundecanoyl and dilauroyl phosphatidylcholines attenuate NHR-25, a NR5A nuclear receptor, and release its transcriptional suppression of GRL-21, a Hedgehog-like protein. The induction of GRL-21 consequently inhibits the PTR-24 Patched receptor cell non-autonomously, resulting in mitochondrial fragmentation and lipid accumulation. Together, our work reveals an environment-microorganism-host metabolic axis regulating host mitochondrial dynamics and lipid metabolism, and discovers NR5A-Hedgehog intercellular signalling that controls these metabolic responses with critical consequences for host health and survival.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Japan 1 <1%
Italy 1 <1%
Unknown 104 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 21%
Student > Ph. D. Student 21 20%
Student > Doctoral Student 8 7%
Professor > Associate Professor 6 6%
Student > Bachelor 6 6%
Other 23 21%
Unknown 21 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 41 38%
Agricultural and Biological Sciences 22 21%
Immunology and Microbiology 4 4%
Engineering 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 9 8%
Unknown 25 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 12 January 2018.
All research outputs
#1,111,834
of 23,652,325 outputs
Outputs from Nature Cell Biology
#635
of 3,897 outputs
Outputs of similar age
#23,353
of 310,798 outputs
Outputs of similar age from Nature Cell Biology
#21
of 60 outputs
Altmetric has tracked 23,652,325 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 3,897 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.4. This one has done well, scoring higher than 83% 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 310,798 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 92% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.