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Integrated Model of Metabolism and Autoimmune Response in β-Cell Death and Progression to Type 1 Diabetes

Overview of attention for article published in PLOS ONE, December 2012
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Title
Integrated Model of Metabolism and Autoimmune Response in β-Cell Death and Progression to Type 1 Diabetes
Published in
PLOS ONE, December 2012
DOI 10.1371/journal.pone.0051909
Pubmed ID
Authors

Tijana Marinković, Marko Sysi-Aho, Matej Orešič

Abstract

Progression to type 1 diabetes is characterized by complex interactions of environmental, metabolic and immune system factors, involving both degenerative pathways leading to loss of pancreatic β-cells as well as protective pathways. The interplay between the degenerative and protective pathways may hold the key to disease outcomes, but no models have so far captured the two together. Here we propose a mathematical framework, an ordinary differential equation (ODE) model, which integrates metabolism and the immune system in early stages of disease process. We hypothesize that depending on the degree of regulation, autoimmunity may also play a protective role in the initial response to stressors. We assume that β-cell destruction follows two paths of loss: degenerative and autoimmune-induced loss. The two paths are mutually competing, leading to termination of the degenerative loss and further to elimination of the stress signal and the autoimmune response, and ultimately stopping the β-cell loss. The model describes well our observations from clinical and non-clinical studies and allows exploration of how the rate of β-cell loss depends on the amplitude and duration of autoimmune response.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 29%
Lecturer 1 6%
Student > Bachelor 1 6%
Other 1 6%
Student > Ph. D. Student 1 6%
Other 3 18%
Unknown 5 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 12%
Medicine and Dentistry 2 12%
Engineering 2 12%
Mathematics 1 6%
Business, Management and Accounting 1 6%
Other 4 24%
Unknown 5 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 15 December 2012.
All research outputs
#20,176,348
of 22,689,790 outputs
Outputs from PLOS ONE
#172,810
of 193,655 outputs
Outputs of similar age
#247,347
of 278,890 outputs
Outputs of similar age from PLOS ONE
#4,004
of 4,825 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,655 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 4,825 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.