A luciferase-based immunoprecipitation system assay for IAA using Nluc-proinsulin shows improved discrimination of diabetes risk in children and young adults

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Abstract Summary

Background: Insulin autoantibodies (IAA) are a key early marker of islet autoimmunity, particularly prevalent in young children who progress rapidly to Type 1 diabetes. Radiobinding assays (RBAs) are used to measure IAA but have limited specificity and sustainability. We evaluated the performance of novel Luciferase-based Immunoprecipitation System (LIPS) assays to measure IAA.

Methods: Luciferase-tagged proinsulin (Nluc-PI) was evaluated in 150 new-onset Type 1 diabetes patients (median age 10.4 years, range 1.3-20.7yrs) and 609 first-degree relatives (FDRs) (median follow-up 16.4 years, 0-31.6yrs), including 83 who progressed to diabetes and/or had multiple islet autoantibodies and 435 IAA negative FDRs. Thresholds were set at the 97.5th percentile of 267 healthy schoolchildren. Affinity measurements were available for 112 FDRs found IAA positive by RBA.

Results The sensitivity of Nluc-PIAA in new-onset patients (76%) was comparable to that of 125I-IAA (72%, p=0.17). The partial (>90%) area under the receiver operator characteristics curve was 0.057 for 125I-IAA and 0.075 for NLuc-PIAA (p=0.004). Of 22 125I-IAA positive FDRs who developed diabetes under 35 years of age, 86% were PIAA positive (p>0.05) compared with only 48% of the 25 125I-IAA positive FDRs who developed diabetes over 35 years (p=0.0009). The LIPS assay was more specific as only 16% of 90 single 125I-IAA positive FDRs who have not progressed to diabetes were Nluc-PIAA positive. Of 73 FDRs with high/moderate affinity 125I-IAA, 64% were Nluc-PIAA positive compared with only 18% of 39 FDRs with low affinity 125I-IAA (p<0.0001). In 125I-IAA positive FDRs, the 10-year diabetes-risk was 35% if Nluc-PIAA positive and 11% if Nluc-PIAA negative (p<0.0001).

Conclusion:  The high-throughput LIPS assay uses one fifth the serum of RBAs, with shorter assay duration. Nluc-PIAA LIPS has improved disease specificity with comparable sensitivity to the RBA in patients, identifies relatives at highest diabetes risk and should allow improved targeting of therapeutic interventions.

Submission ID :
IDS34154
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University of Bristol
San Raffaele Scientific Institute
Helmholtz Zentrum München
University of Bristol
IRCCS San Raffaele Scientific Institute
University of Bristol
University of Bristol
IRCCS San Raffaele Scientific Institute
IRCCS San Raffaele Scientific Institute
University of Bristol

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Event dates:
Thursday 25 October - Monday 29 October 2018

Abstract submission deadline:
Monday 14 May 2018

Abstract notification:
July 2018

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Monday 3 September 2018

Registration deadline:
Monday 15 October 2018

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