SBIR/STTR Research Award

Development of An Automated High-Throughput Dried Blood Spot Assay to Facilitate Large Scale Screening for Type 1 Diabetes Risk

Award identifier 2d730ecd8398d1a02885a01d30966e0383a56c842fbac29f3b3159735606f80dAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,487,764

Program and phase

SBIR · Phase II – Direct to Phase II

Award year

2019

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
Enable Biosciences Inc.
Proposal award date
2019-09-19
Contract end date
2021-07-31
UEI
D82RA1JMEBA8
Solicitation number
PA18-574
Topic code
NIDDK

Research abstract

Type 1 diabetes (T1D) is a chronic autoimmune disease that affects millions of children and adults in the US. Up to 40% of T1D patients are diagnosed in the emergency room with life-threatening diabetic ketoacidosis (DKA), resulting in severe clinical complications and a substantial economic burden. Programs that screen for blood-borne markers of early-stage T1D (anti-islet cell autoantibodies) can significantly diminish the incidence of DKA and improve patient quality of life. However, large-scale implementation of such screening campaigns is hindered by the high cost and low throughput of radioimmunoassay (RIA), the gold-standard method for measuring anti-islet autoantibodies. Moreover, a significant portion of screening program costs are associated with phlebotomy, cold-chain storage and shipping. To address this, Enable Biosciences aims to develop a cost-effective, multiplex, high- throughput and non-radioactive immunoassay to diagnose T1D and screen for individuals at risk for T1D using low-cost easy-to-collect dried blood spots (DBS). The successful development of this high- throughput dried blood spot T1D assay can substantially increase the effectiveness of general population- based T1D screening programs. In a JDRF- and Stanford-supported initiative, we were gratified that a serum-based Enable assay achieved the highest performance for anti-GAD, anti-IA2 and a close second-to-highest performance for anti-insulin antibodies in the recent blinded 2018 Islet-cell Autoantibody Standardization Program (IASP) competition out of 50 participating laboratories. The IASP data were generated with an automated Enable serum assay using a custom-made Enable analyzer created in collaboration with Hamilton Robotics. Furthermore, we showed that our manual DBS- based Enable assay correlated strongly with a serum-based assay (R=0.90-0.96). The concordance as evaluated by Cohen’s test showed kappa between 0.85-0.89. The positive and negative agreements for all three aforementioned autoantibodies range from 85%-99%. Notably, we also demonstrated less than 10% degradation of assay signals when DBS cards were stored at 37°C for 4 weeks. Building on these solid technical achievements, which we consider as our “Phase I-like Results” described in detail in this proposal, we aim to further automate our DBS assay procedures for high-throughput functionality including DBS elution and DBS eluent testing using diverse samples, such as those from Stanford University School of Medicine. We expect to deliver an integrated DBS T1D autoantibody assay (elution/testing automation device and reagent kits) to serve large screening centers and CLIA- laboratories. We further plan to obtain CE Mark classification and FDA approval to further decentralize DBS T1D autoantibody testing to be able to address the important needs of communities, clinicians and researchers worldwide.Type 1 diabetes is an incurable autoimmune disease that affects millions of Americans. Screening children and young adults in the general population for their risk of developing type 1 diabetes may help prevent sudden death due to severe disease and help efforts to find a cure. Enable Biosciences is automating methods to measure the presence of blood-borne markers of type 1 diabetes risk using tiny spots of dried blood on paper cards to ease collection, storage and shipping of samples, lowering costs and making it much easier for anyone to get tested while simultaneously helping researchers to develop better therapies.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

9 SBIR/STTR records share this UEI (2016–2023). Reported award amounts total $9,045,093. Reported amounts are not federal obligations.

Phases: Phase II, Phase I, Phase II – Direct to Phase II

Agencies: Department of Health and Human Services, National Science Foundation

Agency intelligence

Department of Health and Human Services

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