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Panpradist N, Kline EC, Atkinson RG, Roller M, Wang Q, Hull IT, Kotnik JH, Oreskovic AK, Bennett C, Leon D, Lyon V, Gilligan-Steinberg SD, Han PD, Drain PK, Starita LM, Thompson MJ, Lutz BR. Harmony COVID-19: A ready-to-use kit, low-cost detector, and smartphone app for point-of-care SARS-CoV-2 RNA detection. SCIENCE ADVANCES 2021; 7:eabj1281. [PMID: 34910507 PMCID: PMC8673764 DOI: 10.1126/sciadv.abj1281] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 10/26/2021] [Indexed: 05/22/2023]
Abstract
RNA amplification tests sensitively detect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, but their complexity and cost are prohibitive for expanding coronavirus disease 2019 (COVID-19) testing. We developed “Harmony COVID-19,” a point-of-care test using inexpensive consumables, ready-to-use reagents, and a simple device. Our ready-to-use, multiplexed reverse transcription, loop-mediated isothermal amplification (RT-LAMP) can detect down to 0.38 SARS-CoV-2 RNA copies/μl and can report in 17 min for high–viral load samples (5000 copies/μl). Harmony detected 97 or 83% of contrived samples with ≥0.5 viral particles/μl in nasal matrix or saliva, respectively. Evaluation in clinical nasal specimens (n = 101) showed 100% detection of RNA extracted from specimens with ≥0.5 SARS-CoV-2 RNA copies/μl, with 100% specificity in specimens positive for other respiratory pathogens. Extraction-free analysis (n = 29) had 95% success in specimens with ≥1 RNA copies/μl. Usability testing performed first time by health care workers showed 95% accuracy.
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Affiliation(s)
- Nuttada Panpradist
- Department of Bioengineering, University of Washington, Seattle, WA, USA
- Global Health for Women, Adolescents, and Children, School of Public Health, University of Washington, Seattle, WA, USA
| | - Enos C. Kline
- Department of Bioengineering, University of Washington, Seattle, WA, USA
| | - Robert G. Atkinson
- Department of Bioengineering, University of Washington, Seattle, WA, USA
| | - Michael Roller
- Department of Bioengineering, University of Washington, Seattle, WA, USA
| | - Qin Wang
- Department of Bioengineering, University of Washington, Seattle, WA, USA
| | - Ian T. Hull
- Department of Bioengineering, University of Washington, Seattle, WA, USA
| | - Jack H. Kotnik
- Department of Bioengineering, University of Washington, Seattle, WA, USA
- Department of Family Medicine, University of Washington, Seattle, WA, USA
| | - Amy K. Oreskovic
- Department of Bioengineering, University of Washington, Seattle, WA, USA
| | - Crissa Bennett
- Department of Bioengineering, University of Washington, Seattle, WA, USA
| | - Daniel Leon
- Department of Bioengineering, University of Washington, Seattle, WA, USA
| | - Victoria Lyon
- Department of Family Medicine, University of Washington, Seattle, WA, USA
| | | | - Peter D. Han
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Paul K. Drain
- Departments of Global Health, Medicine, and Epidemiology, University of Washington, Seattle, WA, USA
| | - Lea M. Starita
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | | | - Barry R. Lutz
- Department of Bioengineering, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
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