dbGaP Study Accession: phs002573

NIH Institute/Center: NIAAA

RADx Data Program: RADx-rad

Release Date: 06/06/2022

DOI: 10.60773/e8nb-ns15

Updated Date: 05/26/2023

Study Description: The goal of the project was to develop a pipeline for automatic detection and tracing of active SARS-CoV-2 infection in a cost-effective, highly accurate, real-time, portable, and super-encrypted manner. This integrated approach first captured viral particles from patient samples to activate fluorescence reporters, followed by signal detection using a smartphone fluorimeter, along with blockchain-based data processing and tracing. Designer DNA net nanostructures were deployed that match the spatial pattern of trimeric spike glycoprotein clusters on the viral outer surface for specific and rapid SARS-CoV-2 virion detection, smartphone-based point-of-care device for portable signal reading, and blockchain encryption for privacy protection during result recording and track tracing, therefore, this detection and tracing model allowed a direct, automatic, and cost-effective detection, a highly flexible result acquisition process and a super-encrypted data transition and tracing system.

Principal Investigator: Peng, Lu

Has Data Files: Yes

Study Domain: Medical Device/Tool Development; Virological Testing

Data Collection Method: Smartphone; Molecular (Nucleic Acid/PCR) Testing Device

Keywords: Blockchain Encryption; Automatic Detection and Tracing

Study Design: Case-Control

Multi-Center Study: TRUE

Study Sites: University of Illinois at Urbana Champaign and Louisiana State University

Data Types: Immunological; Other

Data Types, Other: Performance of the SARS-CoV-2 sensor is being tested using pseudo or UV-inactivated SARS-CoV-2 viruses that are spiked in saliva; Contact tracing is using Bluetooth of smartphones and the records will be encrypted and stored in Blockchain at the server side; Limit of detection (LoD) and virus dose response data are quantified using relative fluorescence unit (r.f.u.) in a portable fluorimeter

Study Start Date: 12/21/2020

Study End Date: 11/30/2022

Species: Non-Human Data; Human Data

Estimated Cohort Size: 95

Study Population Focus: N/A

Publication URL: https://pubmed.ncbi.nlm.nih.gov/34433933/; https://pubmed.ncbi.nlm.nih.gov/35013618/; https://pubmed.ncbi.nlm.nih.gov/35220716/; https://pubmed.ncbi.nlm.nih.gov/36832064/; https://pubmed.ncbi.nlm.nih.gov/36905862/; https://pubmed.ncbi.nlm.nih.gov/36963325/; https://pubmed.ncbi.nlm.nih.gov/37205441/; https://pubmed.ncbi.nlm.nih.gov/37264756/; https://pubmed.ncbi.nlm.nih.gov/34281959/; https://pubmed.ncbi.nlm.nih.gov/34840515/

Acknowledgement Statement: This study was supported through funding, 7U01AA029348-03, for the National Institute on Alcohol Abuse and Alcoholism (NIAAA) as part of the RADx-rad program. Approved users should acknowledge the provision of data access by dbGaP for accession phs002573.v1.p1, and the NIH RADx Data Hub. Approved users should also acknowledge the specific version(s) of the dataset(s) obtained from the NIH RADx Data Hub.

Funding Opportunity Announcement (FOA) Number: PA-21-268

NIH Grant or Contract Number(s): 7U01AA029348-03

Consent/Data Use Limitations: General Research Use