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Adipose tissue microbiota in humans: an open issue

Overview of attention for article published in International Journal of Obesity, July 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)

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9 X users
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1 Facebook page

Citations

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18 Dimensions

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41 Mendeley
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1 CiteULike
Title
Adipose tissue microbiota in humans: an open issue
Published in
International Journal of Obesity, July 2016
DOI 10.1038/ijo.2016.111
Pubmed ID
Authors

A Zulian, R Cancello, E Cesana, E Rizzi, C Consolandi, M Severgnini, V Panizzo, A M Di Blasio, G Micheletto, C Invitti

Abstract

BackgroundA specific "adipose tissue" microbiota has been recently identified in mice and hypothesized in humans. The purpose of this study was to verify the presence of microbiota of human whole adipose tissue and isolated adipocytes by combining culture-dependent and independent methods.MethodsStandard microbiological cultural techniques and 16S ribosomal RNA (16S rRNA) gene sequencing (Illumina technology) on DNA and RNA were employed to study a) whole abdominal subcutaneous (SAT) and visceral (VAT) adipose tissue from 14 obese and 5 normal-weight subjects, b) mature adipocytes isolated from SAT and VAT after collagenase digestion or mechanical separation. To optimize the 16S rRNA gene detection we used different DNA extraction methods (lysis with proteinase K, proteinase K+lysozyme and microbeads) and amplification procedures (semi quantitative standard PCR and real time quantitative PCR).ResultsMicrobiological cultures were negative in all analyzed samples. In enzymatically isolated adipocytes, 90% of the sequenced bacterial DNA belonged to Clostridium histolyticum, the bacterium from which the collagenase enzyme was isolated. Bacterial 16S rRNA gene was not detected from DNA and RNA of whole SAT and VAT, as well as of mechanically isolated mature adipocytes, even after blocking with a specific primer the non-specific amplification of human mitochondrial 12S rRNA.ConclusionOur results do not support the presence of a human adipose tissue microbiota. In addition, they emphasized the technical problems encountered when applying metagenomic studies to human tissues with very low or absent bacterial load.International Journal of Obesity accepted article preview online, 14 June 2016. doi:10.1038/ijo.2016.111.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 29%
Student > Ph. D. Student 8 20%
Student > Bachelor 5 12%
Student > Master 4 10%
Student > Doctoral Student 2 5%
Other 2 5%
Unknown 8 20%
Readers by discipline Count As %
Medicine and Dentistry 10 24%
Biochemistry, Genetics and Molecular Biology 7 17%
Agricultural and Biological Sciences 7 17%
Immunology and Microbiology 2 5%
Nursing and Health Professions 1 2%
Other 4 10%
Unknown 10 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 19 January 2018.
All research outputs
#6,623,716
of 24,143,470 outputs
Outputs from International Journal of Obesity
#2,322
of 4,426 outputs
Outputs of similar age
#105,895
of 361,593 outputs
Outputs of similar age from International Journal of Obesity
#35
of 45 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,426 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.8. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 361,593 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.