Advances in risk predictive performance of pre-symptomatic type 1 diabetes via the multiplex Antibody-Detection-by-Agglutination-PCR assay

Front Endocrinol (Lausanne). 2024 Feb 8:15:1340436. doi: 10.3389/fendo.2024.1340436. eCollection 2024.

Abstract

Introduction: Achieving early diagnosis of pre-symptomatic type 1 diabetes is critical to reduce potentially life-threatening diabetic ketoacidosis (DKA) at symptom onset, link patients to FDA approved therapeutics that can delay disease progression and support novel interventional drugs development. The presence of two or more islet autoantibodies in pre-symptomatic type 1 diabetes patients indicates high-risk of progression to clinical manifestation.

Method: Herein, we characterized the capability of multiplex ADAP assay to predict type 1 diabetes progression. We obtained retrospective coded sera from a cohort of 48 progressors and 44 non-progressors from the NIDDK DPT-1 study.

Result: The multiplex ADAP assay and radiobinding assays had positive predictive value (PPV)/negative predictive value (NPV) of 68%/92% and 67%/66% respectively. The improved NPV stemmed from 12 progressors tested positive for multiple islet autoantibodies by multiplex ADAP assay but not by RBA. Furthermore, 6 out of these 12 patients tested positive for multiple islet autoantibodies by RBA in subsequent sampling events with a median delay of 2.8 years compared to multiplex ADAP assay.

Discussion: In summary, multiplex ADAP assay could be an ideal tool for type 1 diabetes risk testing due to its sample-sparing nature (4µL), non-radioactiveness, compatibility with widely available real-time qPCR instruments and favorable risk prediction capability.

Keywords: autoimmune diseases; immunology; islet autoantibodies; pediatrics; type 1 diabetes mellitus.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Agglutination
  • Autoantibodies
  • Diabetes Mellitus, Type 1*
  • Diabetic Ketoacidosis*
  • Humans
  • Polymerase Chain Reaction
  • Retrospective Studies

Substances

  • Autoantibodies

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported in part by the JDRF RSC-2022-1102-M-N to Enable Biosciences. This work was supported in part by the NIH SBIR 2R44DK110005-02 to Enable Biosciences. DT, BH, JC, PR, DS, and C-tT were supported by the JDRF and NIH grants above.