Antibody-Detection-by-Agglutination-PCR (ADAP): An Ultra-Sensitive, High-Throughput, Multiplexable Tool for T1D Diagnosis and Monitoring

Information

  • Research Project
  • 9185244
  • ApplicationId
    9185244
  • Core Project Number
    R43DK111005
  • Full Project Number
    1R43DK111005-01
  • Serial Number
    111005
  • FOA Number
    RFA-DK-15-024
  • Sub Project Id
  • Project Start Date
    8/1/2016 - 8 years ago
  • Project End Date
    1/31/2017 - 8 years ago
  • Program Officer Name
    ARREAZA-RUBIN, GUILLERMO
  • Budget Start Date
    8/1/2016 - 8 years ago
  • Budget End Date
    1/31/2017 - 8 years ago
  • Fiscal Year
    2016
  • Support Year
    01
  • Suffix
  • Award Notice Date
    7/18/2016 - 8 years ago
Organizations

Antibody-Detection-by-Agglutination-PCR (ADAP): An Ultra-Sensitive, High-Throughput, Multiplexable Tool for T1D Diagnosis and Monitoring

PROJECT SUMMARY/ABSTRACT Accurate and timely detection of circulating autoantibodies against pancreatic islet antigens is critical to both research and clinical care for patients with type 1 diabetes (T1D). However this measurement remains highly variable across commercially available assays, and such assays also may not adequately detect particularly low but clinically relevant levels of circulating autoantibodies. This deficit translates into missed opportunities for both the timely initiation of the most appropriate treatment regimens and to support much needed research into novel and improved disease-modifying interventions. Additionally, large-scale public health screening efforts for T1D are hampered by the low throughput nature of current bioassays, and/or their requirement for expensive and specialized instrumentation. We have developed a proprietary patent-pending PCR-based technology termed Antibody Detection by Agglutination-PCR (ADAP). ADAP is a high-throughput assay that can be used for simultaneous detection of multiple antibodies while requiring only a very small amount of patient serum (2 ?L). ADAP also detects autoantibodies with 1,000 to 10,000 times greater sensitivity than the currently used immunometric and radio-immuno assays, and can be readily integrated into common quantitative PCR (qPCR) workflows using pre-existing instrumentation that is available at many hospitals, clinics and public health screening sites. Importantly, ADAP represents a significant departure from less effective PCR-driven platforms such as immuno-PCR, overcoming many of the deficits inherent to this class of assays to afford a high-throughput, ultrasensitive, robust, reliable, and specific detection method. In this Phase 1 application, we propose to develop an ADAP-based assay kit for detection of the four autoantibodies that form the basis for T1D diagnosis. The corresponding GAD65, IA-2, insulin, and ZnT8 antigens will be barcoded by conjugation to unique single-stranded DNA sequences. Agglutination of an antigen upon incubation with its cognate antibody brings the DNA sequences near to each other. An appropriate ?bridge oligo? is then supplied which, upon ligation, affords an amplifiable DNA duplex. This antigen-autoantibody binding event provides a PCR amplicon that enables ultrasensitive detection with minimal background signal. Next we will use these appropriately validated reagents for analysis of patient serum samples in the context of T1D, both before and after diagnosis. Finally, it is increasingly appreciated that high-affinity autoantibodies are privileged indicators of disease severity. In anticipation of the diagnostic value of this new finding, we also propose to create an innovative variant of the ADAP assay which we term ?ADAP to enable high throughput quantification of high-affinity autoantibodies. Deployment of such an assay may allow more accurate determination of T1D prognosis, and enable improved choices of therapeutic interventions. In summary, we seek to establish the ADAP T1D assay kit not only as an effective alternative to current T1D diagnostic platforms, but one with significantly expanded capabilities in terms of sensitivity, speed, reproducibility and multiplexability that can be cost-effectively integrated into existing laboratory and clinical workflows.

IC Name
NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES
  • Activity
    R43
  • Administering IC
    DK
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    224423
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    847
  • Ed Inst. Type
  • Funding ICs
    NIDDK:224423\
  • Funding Mechanism
    SBIR-STTR RPGs
  • Study Section
    ZDK1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    ENABLE BIOSCIENCES, INC.
  • Organization Department
  • Organization DUNS
    079962225
  • Organization City
    MENLO PARK
  • Organization State
    CA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    940256908
  • Organization District
    UNITED STATES