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Gut Microbiota Interacts with Markers of Adipose Tissue Browning, Insulin Action and Plasma Acetate in Morbid Obesity

Overview of attention for article published in Molecular Nutrition & Food Research, December 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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1 blog
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2 X users
facebook
1 Facebook page

Citations

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80 Dimensions

Readers on

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142 Mendeley
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Title
Gut Microbiota Interacts with Markers of Adipose Tissue Browning, Insulin Action and Plasma Acetate in Morbid Obesity
Published in
Molecular Nutrition & Food Research, December 2017
DOI 10.1002/mnfr.201700721
Pubmed ID
Authors

José María Moreno‐Navarrete, Matteo Serino, Vincent Blasco‐Baque, Vincent Azalbert, Richard H. Barton, Marina Cardellini, Jèssica Latorre, Francisco Ortega, Mònica Sabater‐Masdeu, Rémy Burcelin, Marc‐Emmanuel Dumas, Wifredo Ricart, Massimo Federici, José Manuel Fernández‐Real

Abstract

To examine the potential relationship among gene expression markers of adipose tissue browning, gut microbiota and insulin sensitivity in humans. Gut microbiota composition and gene markers of browning were analysed in subcutaneous (SAT) and visceral (VAT) adipose tissue from morbidly obese subjects (n = 34). Plasma acetate was measured through (1) H NMR and insulin sensitivity using euglycemic hyperinsulinemic clamp. Subjects with insulin resistance showed an increase in the relative abundance (RA) of the phyla Bacteroidetes and Proteobacteria while RA of Firmicutes was decreased. In all subjects, Firmicutes RA was negatively correlated with HbA1c and fasting triglycerides, whereas Proteobacteria RA was negatively correlated with insulin sensitivity. Firmicutes RA was positively associated with markers of brown adipocytes (PRDM16, UCP1 and DIO2) in SAT, but not in VAT. Multivariate regression analysis indicated that Firmicutes RA contributed significantly to SAT PRDM16, UCP1 and DIO2 mRNA variance after controlling for age, BMI, HbA1c or insulin sensitivity. Interestingly, Firmicutes RA, specifically those bacteria belonging to Ruminococcaceae family, was positively associated with plasma acetate levels, which were also linked to SAT PRDM16 mRNA and insulin sensitivity. Gut microbiota composition is linked to adipose tissue browning and insulin action in morbidly obese subjects, possibly through circulating acetate. This article is protected by copyright. All rights reserved.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 142 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 20%
Student > Master 18 13%
Student > Bachelor 13 9%
Student > Ph. D. Student 12 8%
Student > Doctoral Student 8 6%
Other 18 13%
Unknown 45 32%
Readers by discipline Count As %
Medicine and Dentistry 23 16%
Biochemistry, Genetics and Molecular Biology 21 15%
Agricultural and Biological Sciences 18 13%
Nursing and Health Professions 10 7%
Immunology and Microbiology 8 6%
Other 11 8%
Unknown 51 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 10 November 2017.
All research outputs
#4,334,558
of 24,508,104 outputs
Outputs from Molecular Nutrition & Food Research
#765
of 2,654 outputs
Outputs of similar age
#88,647
of 451,511 outputs
Outputs of similar age from Molecular Nutrition & Food Research
#13
of 58 outputs
Altmetric has tracked 24,508,104 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,654 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has gotten more attention than average, scoring higher than 70% 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 451,511 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 80% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.