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Metabolic Regulation in Progression to Autoimmune Diabetes

Overview of attention for article published in PLoS Computational Biology, October 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

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2 X users
patent
2 patents
facebook
1 Facebook page

Citations

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74 Dimensions

Readers on

mendeley
106 Mendeley
citeulike
4 CiteULike
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Title
Metabolic Regulation in Progression to Autoimmune Diabetes
Published in
PLoS Computational Biology, October 2011
DOI 10.1371/journal.pcbi.1002257
Pubmed ID
Authors

Marko Sysi-Aho, Andrey Ermolov, Peddinti V. Gopalacharyulu, Abhishek Tripathi, Tuulikki Seppänen-Laakso, Johanna Maukonen, Ismo Mattila, Suvi T. Ruohonen, Laura Vähätalo, Laxman Yetukuri, Taina Härkönen, Erno Lindfors, Janne Nikkilä, Jorma Ilonen, Olli Simell, Maria Saarela, Mikael Knip, Samuel Kaski, Eriika Savontaus, Matej Orešič

Abstract

Recent evidence from serum metabolomics indicates that specific metabolic disturbances precede β-cell autoimmunity in humans and can be used to identify those children who subsequently progress to type 1 diabetes. The mechanisms behind these disturbances are unknown. Here we show the specificity of the pre-autoimmune metabolic changes, as indicated by their conservation in a murine model of type 1 diabetes. We performed a study in non-obese prediabetic (NOD) mice which recapitulated the design of the human study and derived the metabolic states from longitudinal lipidomics data. We show that female NOD mice who later progress to autoimmune diabetes exhibit the same lipidomic pattern as prediabetic children. These metabolic changes are accompanied by enhanced glucose-stimulated insulin secretion, normoglycemia, upregulation of insulinotropic amino acids in islets, elevated plasma leptin and adiponectin, and diminished gut microbial diversity of the Clostridium leptum group. Together, the findings indicate that autoimmune diabetes is preceded by a state of increased metabolic demands on the islets resulting in elevated insulin secretion and suggest alternative metabolic related pathways as therapeutic targets to prevent diabetes.

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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 2 2%
Portugal 1 <1%
India 1 <1%
Mexico 1 <1%
United States 1 <1%
Unknown 100 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 25%
Student > Ph. D. Student 23 22%
Student > Master 7 7%
Student > Bachelor 7 7%
Other 6 6%
Other 18 17%
Unknown 18 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 29%
Biochemistry, Genetics and Molecular Biology 10 9%
Medicine and Dentistry 10 9%
Chemistry 8 8%
Immunology and Microbiology 7 7%
Other 17 16%
Unknown 23 22%
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 14 November 2016.
All research outputs
#7,199,952
of 25,806,080 outputs
Outputs from PLoS Computational Biology
#4,810
of 9,043 outputs
Outputs of similar age
#41,809
of 153,565 outputs
Outputs of similar age from PLoS Computational Biology
#48
of 130 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 9,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 46th percentile – i.e., 46% 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 153,565 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 72% of its contemporaries.
We're also able to compare this research output to 130 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 62% of its contemporaries.