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β Cell death and dysfunction during type 1 diabetes development in at-risk individuals

Overview of attention for article published in Journal of Clinical Investigation, February 2015
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

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Article details
Title
β Cell death and dysfunction during type 1 diabetes development in at-risk individuals
Published in
Journal of Clinical Investigation, February 2015
DOI 10.1172/jci78142
Pubmed ID
Authors
Abstract

Role of the funding source: Funding from the NIH was used for support of the participating clinical centers and the coordinating center. The funding source did not participate in the collection or the analysis of the data. The β cell killing that characterizes type 1 diabetes (T1D) is thought to begin years before patients present clinically with metabolic decompensation; however, this primary pathologic process of the disease has not been measured. Here, we measured β cell death with an assay that detects β cell-derived unmethylated insulin (INS) DNA. Using this assay, we performed an observational study of 50 participants from 2 cohorts at risk for developing T1D from the TrialNet Pathway to Prevention study and of 4 subjects who received islet autotransplants. In at-risk subjects, those who progressed to T1D had average levels of unmethylated INS DNA that were elevated modestly compared with those of healthy control subjects. In at-risk individuals that progressed to T1D, the observed increases in unmethylated INS DNA were associated with decreases in insulin secretion, indicating that the changes in unmethylated INS DNA are indicative of β cell killing. Subjects at high risk for T1D had levels of unmethylated INS DNA that were higher than those of healthy controls and higher than the levels of unmethylated INS DNA in the at-risk progressor and at-risk nonprogressor groups followed for 4 years. Evaluation of insulin secretory kinetics also distinguished high-risk subjects who progressed to overt disease from those who did not. We conclude that a blood test that measures unmethylated INS DNA serves as a marker of active β cell killing as the result of T1D-associated autoimmunity. Together, the data support the concept that β cell killing occurs sporadically during the years prior to diagnosis of T1D and is more intense in the peridiagnosis period. Clinicaltrials.gov NCT00097292. Funding was from the NIH, the Juvenile Diabetes Research Foundation, and the American Diabetes Association.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
Japan 1 <1%
United Kingdom 1 <1%
China 1 <1%
Unknown 158 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 30 19%
Researcher 23 14%
Other 21 13%
Student > Bachelor 13 8%
Student > Master 10 6%
Other 29 18%
Unknown 36 22%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 39 24%
Agricultural and Biological Sciences 29 18%
Biochemistry, Genetics and Molecular Biology 25 15%
Immunology and Microbiology 7 4%
Engineering 5 3%
Other 18 11%
Unknown 39 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 291. 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 03 March 2026.
All research outputs
#120,373
of 25,374,647 outputs
Outputs from Journal of Clinical Investigation
#120
of 17,180 outputs
Outputs of similar age
#1,325
of 360,372 outputs
Outputs of similar age from Journal of Clinical Investigation
#2
of 116 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,180 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.7. This one has done particularly well, scoring higher than 99% 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 360,372 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 99% of its contemporaries.
We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.