Islet Autoantibody Detection by Electrochemiluminescence (ECL) Assay

2015 ◽  
pp. 85-91 ◽  
Author(s):  
Liping Yu
Keyword(s):  
Islet Autoantibody ◽  
Autoantibody Detection

scholarly journals Islet Autoantibody Detection by Electrochemiluminescence (ECL) Assay

2017 ◽  
Vol 08 (06) ◽  
Author(s):  
Yong Gu ◽  
Zhiyuan Zhao ◽  
Hilary High ◽  
Tao Yang ◽  
Liping Yu
Keyword(s):  
Islet Autoantibody ◽  
Autoantibody Detection

Activation of autoreactive CD4+ T cells is synchronous to islet autoantibody seroconversion and shows an IFNγ signature

2014 ◽  
Vol 9 (S 01) ◽  
Author(s):  
D Kühn ◽  
AK Heninger ◽  
A Eugster ◽  
S Dietz ◽  
C Winkler ◽  
...  
Keyword(s):  
T Cells ◽  
Cd4 T Cells ◽  
Islet Autoantibody

Glycopeptide microarray for autoantibody detection in cancer

2011 ◽  
Vol 8 (4) ◽  
pp. 435-437 ◽  
Author(s):  
Celso A Reis ◽  
Diana Campos ◽  
Hugo Osório ◽  
Lúcio Lara Santos
Keyword(s):  
Autoantibody Detection

scholarly journals Expanding Assay Dynamics: A Combined Competitive and Direct Assay System for the Quantification of Proteins in Multiplexed Immunoassays

2008 ◽  
Vol 54 (6) ◽  
pp. 956-963 ◽  
Author(s):  
Michael Hartmann ◽  
Monika Schrenk ◽  
Anette Döttinger ◽  
Sarah Nagel ◽  
Johan Roeraade ◽  
...  
Keyword(s):  
Dynamic Range ◽  
Protein Microarray ◽  
Measurement Range ◽  
Multiplex Assay ◽  
Competitive System ◽  
Direct Immunoassay ◽  
Sandwich Configuration ◽  
Readout Channel ◽  
Autoantibody Detection ◽  
Detection And Quantification

Abstract Background: The concurrent detection and quantification of analytes that vary widely in concentration present a principal problem in multiplexed assay systems. Combining competitive and sandwich immunoassays permits coverage of a wide concentration range, and both highly abundant molecules and analytes present in low concentration can be quantified within the same assay. Methods: The use of different fluorescence readout channels allows the parallel use of a competitive system and a sandwich configuration. The 2 generated assay signals are combined and used to calculate the amount of analyte. The measurement range can be adjusted by varying the competitor concentration, and an extension of the assay system’s dynamic range is possible. Results: We implemented the method in a planar protein microarray–based autoimmune assay to detect autoantibodies against 13 autoantigens and to measure the concentration of a highly abundant protein, total human IgG, in one assay. Our results for autoantibody detection and IgG quantification agreed with results obtained with commercially available assays. The use of 2 readout channels in the protein microarray–based system reduced spot-to-spot variation and intraassay variation. Conclusions: By combining a direct immunoassay with a competitive system, analytes present in widely varying concentrations can be quantified within a single multiplex assay. Introducing a second readout channel for analyte quantification is an effective tool for spot-to-spot normalization and helps to lower intraassay variation.

243-OR: Integrating Genetic Risk Score and Islet Autoantibody Characteristics in the Predictive Model for Type 1 Diabetes in the TrialNet Study

Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 243-OR
Author(s):  
LAURIC A. FERRAT ◽  
ANDREA STECK ◽  
HEMANG M. PARIKH ◽  
LU YOU ◽  
SUNA ONENGUT-GUMUSCU ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Predictive Model ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Islet Autoantibody

scholarly journals Stratification of Type 1 Diabetes Risk on the Basis of Islet Autoantibody Characteristics

Diabetes ◽  
2004 ◽  
Vol 53 (2) ◽  
pp. 384-392 ◽  
Author(s):  
P. Achenbach ◽  
K. Warncke ◽  
J. Reiter ◽  
H. E. Naserke ◽  
A. J.K. Williams ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Diabetes Risk ◽  
Islet Autoantibody

scholarly journals An Age-Related Exponential Decline in the Risk of Multiple Islet Autoantibody Seroconversion During Childhood

2021 ◽  
Author(s):  
Ezio Bonifacio ◽  
Andreas Weiß ◽  
Christiane Winkler ◽  
Markus Hippich ◽  
Marian J. Rewers ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Confidence Interval ◽  
Islet Autoantibodies ◽  
Islet Autoimmunity ◽  
Islet Autoantibody ◽  
Age Related ◽  
At Risk Children ◽  
Exponential Decline ◽  
Design And Methods

<b>Objective</b>. Islet autoimmunity develops prior to clinical type 1 diabetes and includes multiple and single autoantibody phenotypes. The objective was to determine age-related risks of islet autoantibodies that reflect etiology and improve screening for pre-symptomatic type 1 diabetes. <p><b>Research Design and Methods</b>. The Environmental Determinants of Diabetes in the Young study prospectively followed 8,556 genetically at-risk children at 3–6-month intervals from birth for the development of islet autoantibodies and type 1 diabetes. The age-related change in the risk of developing islet autoantibodies was determined using landmark and regression models. </p> <p><b>Results</b>. The 5-year risk of developing multiple islet autoantibodies was 4.3% (95% confidence interval, 3.8–4.7) at 7.5 months of age and declined to 1.1% (95% confidence interval, 0.8–1.3) at a landmark age of 6.25 years (<i>P</i><0.0001). Risk decline was slight or absent in single insulin- and GAD-autoantibody phenotypes. The influence of sex, <i>HLA</i> and other susceptibility genes on risk subsided with increasing age and was abrogated by age six years. Highest sensitivity and positive predictive value of multiple islet autoantibody phenotypes for type 1 diabetes was achieved by autoantibody screening at 2 years and again at 5–7 years of age. </p> <p><b>Conclusions</b>. The risk of developing islet autoimmunity declines exponentially with age and the influence of major genetic factors on this risk is limited to the first few years of life. </p>

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