Toll-like receptor blocker slows beta cell death in type 1 diabetes

2012 ◽  
Vol 30 (2) ◽  
pp. 124-124 ◽  
Author(s):  
Susan Aldridge
Diabetologia ◽  
2016 ◽  
Vol 60 (3) ◽  
pp. 464-474 ◽  
Author(s):  
Xue Jiang ◽  
Yawen Zhou ◽  
Kelvin K. L. Wu ◽  
Zhanrui Chen ◽  
Aimin Xu ◽  
...  

2019 ◽  
Vol 20 (16) ◽  
pp. 3857 ◽  
Author(s):  
Kimber Simmons ◽  
Alexandra Fouts ◽  
Laura Pyle ◽  
Pamela Clark ◽  
Fran Dong ◽  
...  

Islet autoantibody (iAb)-positive individuals have a high risk of progression to type 1 diabetes (T1D), although the rate of progression is highly variable and factors involved in the rate of progression are largely unknown. The ratio of unmethylated/methylated insulin DNA levels (unmethylated INS ratio) has been shown to be higher in participants at high risk of T1D compared to healthy controls. We aimed to evaluate whether an unmethylated INS ratio may be a useful biomarker of beta cell death and rate of progression to T1D. In TrialNet participants who were followed in the Pathway to Prevention Study and progressed to diabetes (n = 57, median age of onset 15.3 years), we measured unmethylated INS ratio and autoantibodies by electrochemiluminescence (ECL) assays (ECL-IAA, ECL-GADA, and ECL-IA2) and radioimmunoassays (RIA) (mIAA, GADA, IA2A, and ZnT8A) longitudinally for 24 months prior to diagnosis. Linear models were used to test the association between unmethylated INS ratio and the age at T1D diagnosis and unmethylated INS ratio and iAb over time. Close to diabetes onset, the unmethylated INS ratio was associated with mIAA (p = 0.003), ECL-IAA (p = 0.002), and IA2A (p = 0.01) levels, but not with GADA, ECL-GADA, ECL-IA2, or ZnT8A levels. No significant associations were found at baseline (24 months prior to T1D diagnosis). Only mIAA levels were significantly associated with an unmethylated INS ratio over time, with a 0.24 change in the ratio for each 0.1 change in mIAA z-score (p = 0.02). Adjusting for a baseline unmethylated INS ratio, an increased rate of change in unmethylated INS ratio from baseline to diabetes onset was associated with a five-year decrease in age at T1D diagnosis (p = 0.04).


Diabetologia ◽  
2013 ◽  
Vol 57 (3) ◽  
pp. 512-521 ◽  
Author(s):  
Anne Jörns ◽  
Tanja Arndt ◽  
Andreas Meyer zu Vilsendorf ◽  
Jürgen Klempnauer ◽  
Dirk Wedekind ◽  
...  

2020 ◽  
Vol 105 (3) ◽  
pp. 781-791 ◽  
Author(s):  
Cate Speake ◽  
Alyssa Ylescupidez ◽  
Daniel Neiman ◽  
Ruth Shemer ◽  
Benjamin Glaser ◽  
...  

Abstract Context There is an unmet need for biomarkers of pancreatic beta-cell death to improve early diagnosis of type 1 diabetes, enroll subjects into clinical trials, and assess treatment response. To address this need, several groups developed assays measuring insulin deoxyribonucleic acid (DNA) with unmethylated CpG sites in cell-free DNA. Unmethylated insulin DNA should be derived predominantly from beta-cells and indicate ongoing beta-cell death. Objective To assess the performance of three unmethylated insulin DNA assays. Design and Participants Plasma or serum samples from 13 subjects undergoing total pancreatectomy and islet autotransplantation were coded and provided to investigators to measure unmethylated insulin DNA. Samples included a negative control taken post-pancreatectomy but pretransplant, and a positive control taken immediately following islet infusion. We assessed technical reproducibility, linearity, and persistence of detection of unmethylated insulin DNA for each assay. Results All assays discriminated between the negative sample and samples taken directly from the islet transplant bag; 2 of 3 discriminated negative samples from those taken immediately after islet infusion. When high levels of unmethylated insulin DNA were present, technical reproducibility was generally good for all assays. Conclusions The measurement of beta cell cell-free DNA, including insulin, is a promising approach, warranting further testing and development in those with or at-risk for type 1 diabetes, as well as in other settings where understanding the frequency or kinetics of beta cell death could be useful.


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