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Progression of LAMP as a Result of the COVID-19 Pandemic: Is PCR Finally Rivaled?
Mannier, Cassidy; Yoon, Jeong-Yeol.
  • Mannier C; Department of Biomedical Engineering, the University of Arizona, Tucson, AZ 85721, USA.
  • Yoon JY; Department of Biomedical Engineering, the University of Arizona, Tucson, AZ 85721, USA.
Biosensors (Basel) ; 12(7)2022 Jul 06.
Article in English | MEDLINE | ID: covidwho-1917292
ABSTRACT
Reflecting on the past three years and the coronavirus disease 19 (COVID-19) pandemic, varying global tactics offer insights into the most effective public-health responses. In the US, specifically, rapid and widespread testing was quickly prioritized to lower restrictions sooner. Essentially, only two types of COVID-19 diagnostic tests were publicly employed during the peak pandemic the rapid antigen test and reverse transcription polymerase chain reaction (RT-PCR). However, neither test ideally suited the situation, as rapid antigen tests are far too inaccurate, and RT-PCR tests require skilled personnel and sophisticated equipment, leading to long wait times. Loop-mediated isothermal amplification (LAMP) is another exceptionally accurate nucleic acid amplification test (NAAT) that offers far quicker time to results. However, RT-LAMP COVID-19 tests have not been embraced as extensively as rapid antigen tests or RT-PCR. This review will investigate the performance of current RT-LAMP-based COVID-19 tests and summarize the reasons behind the hesitancy to embrace RT-LAMP instead of RT-PCR. We will also look at other LAMP platforms to explore possible improvements in the accuracy and portability of LAMP, which could be applied to COVID-19 diagnostics and future public-health outbreaks.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Diagnostic study / Prognostic study Topics: Long Covid Limits: Humans Language: English Year: 2022 Document Type: Article Affiliation country: Bios12070492

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Diagnostic study / Prognostic study Topics: Long Covid Limits: Humans Language: English Year: 2022 Document Type: Article Affiliation country: Bios12070492