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Abstract
A fast and highly specific detection of COVID-19 infections is essential in managing the virus dissemination networks. The most relevant technologies developed for SARS-CoV-2 detection, along with their advantages and limitations, will be presented and fully explored. Additionally, some of the newest and emerging COVID-19 diagnosis tools, such as biosensing platforms, will also be introduced. Considering the extreme relevance that all these technologies assume in pandemic control, it is of the utmost relevance to have an intrinsic knowledge of the parameters that need to be taken into consideration before choosing the most adequate test for a particular situation. Moreover, the new variants of the virus and their potential impact on the detection method’s effectiveness will be discussed. In order to better manage the pandemic, it is essential to maintain continuous research into the SARS-CoV-2 genome and updated genomic surveillance at the global level. This will allow for timely detection of new mutations and viral variants, which may affect the performance of COVID-19 detection tests.
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Programmable design of isothermal nucleic acid diagnostic assays through abstraction-based models. Nat Commun 2022; 13:1635. [PMID: 35347157 PMCID: PMC8960814 DOI: 10.1038/s41467-022-29101-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Accepted: 02/24/2022] [Indexed: 02/07/2023] Open
Abstract
Accelerating the design of nucleic acid amplification methods remains a critical challenge in the development of molecular tools to identify biomarkers to diagnose both infectious and non-communicable diseases. Many of the principles that underpin these mechanisms are often complex and can require iterative optimisation. Here we focus on creating a generalisable isothermal nucleic acid amplification methodology, describing the systematic implementation of abstraction-based models for the algorithmic design and application of assays. We demonstrate the simplicity, ease and flexibility of our approach using a software tool that provides amplification schemes de novo, based upon a user-input target sequence. The abstraction of reaction network predicts multiple reaction pathways across different strategies, facilitating assay optimisation for specific applications, including the ready design of multiplexed tests for short nucleic acid sequence miRNAs or for difficult pathogenic targets, such as highly mutating viruses. Detecting nucleic acids often requires choosing between different amplification mechanisms. Here the authors present a generalisable and programmable isothermal methodology, demonstrated in clinical applications, including for multiplexed detection of short miRNAs.
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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: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [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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