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Dry loop-mediated isothermal amplification assay for detection of SARS-CoV-2 from clinical specimens

Overview of attention for article published in Fujita Medical Journal, July 2022
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  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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Title
Dry loop-mediated isothermal amplification assay for detection of SARS-CoV-2 from clinical specimens
Published in
Fujita Medical Journal, July 2022
DOI 10.20407/fmj.2022-003
Pubmed ID
Authors

Yuki Higashimoto, Masaru Ihira, Yoshiki Kawamura, Masato Inaba, Kazuya Shirato, Tadaki Suzuki, Hideki Hasegawa, Tsutomu Kageyama, Yohei Doi, Tadayoshi Hata, Tetsushi Yoshikawa

Abstract

To establish a point-of-care test for coronavirus disease 2019 (COVID-19), we developed a dry loop-mediated isothermal amplification (LAMP) method to detect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA. We carried out reverse transcription (RT)-LAMP using the Loopamp SARS-CoV-2 Detection kit (Eiken Chemical, Tokyo, Japan). The entire mixture, except for the primers, is dried and immobilized inside the tube lid. To determine the specificity of the kit, 22 viruses associated with respiratory infections, including SARS-CoV-2, were tested. The sensitivity of this assay, determined by either a real-time turbidity assay or colorimetric change of the reaction mixture, as evaluated by the naked eye or under illumination with ultraviolet light, was 10 copies/reaction. No LAMP product was detected in reactions performed with RNA from any pathogens other than SARS-CoV-2. After completing an initial validation analysis, we analyzed 24 nasopharyngeal swab specimens collected from patients suspected to have COVID-19. Of the 24 samples, 19 (79.2%) were determined by real-time RT-PCR analysis as being positive for SARS-CoV-2 RNA. Using the Loopamp SARS-CoV-2 Detection kit, we detected SARS-CoV-2 RNA in 15 (62.5%) of the 24 samples. Thus, the sensitivity, specificity, positive predictive value, and negative predictive values of the Loopamp 2019-CoV-2 detection reagent kit were 78.9%, 100%, 100%, and 55.6%, respectively. The dry LAMP method for detecting SARS-CoV-2 RNA is fast and easy to use, and its reagents can be stored at 4°C, solving the cold chain problem; thus, it represents a promising tool for COVID-19 diagnosis in developing countries.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 21%
Other 3 16%
Student > Ph. D. Student 3 16%
Student > Doctoral Student 1 5%
Student > Bachelor 1 5%
Other 0 0%
Unknown 7 37%
Readers by discipline Count As %
Medicine and Dentistry 3 16%
Biochemistry, Genetics and Molecular Biology 2 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Environmental Science 1 5%
Nursing and Health Professions 1 5%
Other 3 16%
Unknown 8 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 May 2023.
All research outputs
#15,563,959
of 25,983,475 outputs
Outputs from Fujita Medical Journal
#7
of 54 outputs
Outputs of similar age
#197,506
of 437,963 outputs
Outputs of similar age from Fujita Medical Journal
#1
of 5 outputs
Altmetric has tracked 25,983,475 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 54 research outputs from this source. They receive a mean Attention Score of 1.2. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 437,963 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them