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β Cell death and dysfunction during type 1 diabetes development in at-risk individuals
Kevan C. Herold, … , Jerry P. Palmer, the Type 1 Diabetes TrialNet Study Group
Kevan C. Herold, … , Jerry P. Palmer, the Type 1 Diabetes TrialNet Study Group
Published February 2, 2015
Citation Information: J Clin Invest. 2015;125(3):1163-1173. https://doi.org/10.1172/JCI78142.
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Clinical Research and Public Health

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

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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.

BACKGROUND. 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.

METHODS. 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.

RESULTS. 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.

CONCLUSION. 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.

TRIAL REGISTRATION. Clinicaltrials.gov NCT00097292.

FUNDING. Funding was from the NIH, the Juvenile Diabetes Research Foundation, and the American Diabetes Association.

Authors

Kevan C. Herold, Sahar Usmani-Brown, Tara Ghazi, Jasmin Lebastchi, Craig A. Beam, Melena D. Bellin, Michel Ledizet, Jay M. Sosenko, Jeffrey P. Krischer, Jerry P. Palmer

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Figure 5

Insulin secretion during the repeat OGTTs in individuals at high risk for T1D.

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Insulin secretion during the repeat OGTTs in individuals at high risk fo...
(A) The insulin secretory AUC (n = 10 each, mean ± SEM) and (B) change in the AUC (second visit to first visit) are shown for each subgroup. There was not a significant change in the ISR AUC between the 2 visits. (C) The time of the peak rate of insulin secretion (ISR) during the 2-hour OGTT is shown for the first and second visits for the 3 subgroups of high-risk subjects. The time of peak insulin secretion was not significantly different at the first visit, at a time when all participants had an abnormal OGTT. Those who returned with normal glucose tolerance had an earlier time of peak insulin secretion when they returned (the lines represent median values, P = 0.0004, Kruskal-Wallis, overall group comparison; *P < 0.05, ***P < 0.001, Dunn’s multiple comparison test). (D) The percentage of total insulin secreted within the first hour of the second OGTT is shown. The high-risk subjects who returned with normal OGTT secreted a significantly greater proportion of insulin in the first hour compared with those who returned with an abnormal OGTT or diabetic OGTT (P = 0.0005, ANOVA; **P < 0.01, Bonferroni multiple comparisons test) (mean ± SEM).

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ISSN: 0021-9738 (print), 1558-8238 (online)

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