Technologies for Emerging Infectious Diseases
Nuttada Panpradist, PhD (she/her/hers)
Postdoctoral Fellow
Department of Global Health, University of Washington
Seattle, Washington, United States
Jack Henry Kotnik
Research Scientist
University of Washington, United States
Qin Wang
Research Assistant/ PhD Student
University of Washington, United States
Parker S Ruth
PhD Student
Stanford University, United States
Chunjong Park
PhD Student
University of Washington, United States
Samuel W A Stewart
Research Scientist
University of Washington, United States
Annika Sahota
Research Scientist
University of Washington, United States
Charalampos Mystakelis
Clinician
MedStar Georgetown University Hospital Pediatric Clinic, United States
David Nelson
Clinician
MedStar Georgetown University Hospital Pediatric Clinics, United States
Sejal Bavishi
clinician
MedStar Georgetown University Hospital Pediatric Clinics, United States
Ami Patel
clinician
MedStar Georgetown University Hospital Pediatric Clinics, United States
Barry R. Lutz, PhD (he/him/his)
Associate Professor
University of Washington, United States
Ruth Kanthula
Clinician
MedStar Georgetown University Hospital Pediatric Clinic, United States
During the initial phase following the peak of the COVID-19 pandemic in 2020, the District of Columbia was one of the top five states in the US with the greatest effort in testing per capita. However, most testing at that time required sending samples to process in the laboratories, and the results were available in 1-5 days and about 7 days during the peak of the 2020 pandemic. The delay in results could impact care providers’ decisions in providing access to care to an individual. The prolonged uncertainty caused anxiety and inconvenience for many individuals, hindering them from fulfilling essential responsibilities while complying with restrictions. To enhance the accessibility of real-time COVID-19 molecular testing, we developed a modified US CDC SARS-CoV-2 assay, consisting of reverse transcription polymerase chain reaction (RT-PCR) and visual detection of SARS-CoV-2 viral RNA through end-point fluorescence signal under a low-cost reader [1]. Furthermore, this assay allows for lyophilized reagents to be added directly to samples – ultimately simplifying the standard extraction workflow and allowing for a greater sample volume. Here we present the feasibility testing of this test at a pediatric clinic in DC and share lessons learned from this investigation.
Our study was approved by the MedStar Georgetown University Hospital Pediatric Clinics Ethics Review Committee. The study was conducted in two phases. During phase I, healthcare workers (HCWs) without experience were recruited to participate in this study without compensation. They were given the opportunity to test contrived swab specimens on this simplified RT-PCR assay. During this period, we investigated the failed modes and determined the root causes in order to upgrade the test kits. During phase II, participating HCWs were asked to perform the test on a new set of blinded specimens. A combination of instructional videos and guidebooks was provided, guiding the HCWs to complete a workflow to demonstrate the feasibility of this method. Each HCW conducted the tests blindly on three swab specimens, each containing varying amounts of deactivated SARS-CoV-2 virus, specifically 0, 2000, and 5000 copies/mL. Briefly, the testing process involved eluting swabs in provided buffers and using disposable plastic pipettes to transfer the eluate into three tubes containing in-house lyophilized RT-PCR reagents for three genes: SARS-CoV-2 N1, SARS-CoV-2 N2, and Human control RP. Then the tubes were subjected to a mini-PCR thermal cycler for RT-PCR. Upon completing the RT-PCR process, the HCWs used a newly developed mobile phone app to capture images of the reaction tubes. These images were then automatically analyzed by the app, and the tubes were classified as positive or negative results.
We thank Dr. Lisa Frenkel, Ingrid Beck, and Lutz laboratory members: Dr. Amy Oreskovic, Dr. Ian Hull, and Enos Kline, who contributed to the development and evaluation of the simplified CDC RT-PCR workflow for SARS-CoV-2 RNA detection. We thank the healthcare worker volunteers at MedStar Georgetown University Hospital Pediatric Clinics for participating in this study.