Evidence map›Paper›PMID 33007999›Full record

ArticleDiagnostics (Basel, Switzerland)2020

Peptide Nucleic Acid (PNA)-Enhanced Specificity of a Dual-Target Real-Time Quantitative Polymerase Chain Reaction (RT-qPCR) Assay for the Detection and Differentiation of SARS-CoV-2 from Related Viruses.

Won-Suk Choi, Ju Hwan Jeong, Halcyon Dawn G Nicolas, Sol Oh, Khristine Joy C Antigua, Ji-Hyun Park, Beomkyu Kim, Sun-Woo Yoon, Kyeong Seob Shin, Young Ki Choi and 2 more

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Won-Suk ChoiDepartment of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju 28644, Korea.
Ju Hwan JeongDepartment of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju 28644, Korea.
Halcyon Dawn G NicolasDepartment of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju 28644, Korea.ORCID 0000-0001-9409-2900
Sol OhDepartment of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju 28644, Korea.
Khristine Joy C AntiguaDepartment of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju 28644, Korea.ORCID 0000-0003-0711-1873
Ji-Hyun ParkDepartment of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju 28644, Korea.
Beomkyu KimDepartment of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju 28644, Korea.
Sun-Woo YoonInfectious Diseases Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, Korea.
Kyeong Seob ShinDepartment of Laboratory Medicine, Chungbuk National University College of Medicine, Cheongju 28644, Korea.
Young Ki ChoiDepartment of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju 28644, Korea.
Yun Hee BaekDepartment of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju 28644, Korea.
Min-Suk SongDepartment of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju 28644, Korea.ORCID 0000-0001-6073-0783

Funding

Chungcheongbuk-do and Cheongju City M.-S.S.National Research Foundation of Korea NRF-2018M3A9H4055769
6 · The paper itself

Abstract

The threat posed by coronaviruses to human health has necessitated the development of a highly specific and sensitive viral detection method that could differentiate between the currently circulating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and other SARS-related coronaviruses (SARSr-CoVs). In this study, we developed a peptide nucleic acid (PNA)-based real-time quantitative polymerase chain reaction (RT-qPCR) assay targeting the N gene to efficiently discriminate SARS-CoV-2 from other SARSr-CoVs in human clinical samples. Without compromising the sensitivity, this method significantly enhanced the specificity of SARS-CoV-2 detection by 100-fold as compared to conventional RT-qPCR. In addition, we designed an RT-qPCR method for the sensitive and universal detection of ORF3ab-E genes of SARSr-CoV with a limit of detection (LOD) of 3.3 RNA copies per microliter. Thus, the developed assay serves as a confirmative dual-target detection method. Our PNA-mediated dual-target RT-qPCR assay can detect clinical SARS-CoV-2 samples in the range of 18.10-35.19 Ct values with an 82.6-100% detection rate. Furthermore, our assay showed no cross-reactions with other coronaviruses such as human coronaviruses (229E, NL63, and OC43) and Middle East respiratory syndrome coronavirus, influenza viruses (Type B, H1N1, H3N2, HPAI H5Nx, and H7N9), and other respiratory disease-causing viruses (MPV, RSV A, RSV B, PIV, AdV, and HRV). We, thus, developed a PNA-based RT-qPCR assay that differentiates emerging pathogens such as SARS-CoV-2 from closely related viruses such as SARSr-CoV and allows diagnosis of infections related to already identified or new coronavirus strains.

Indexed as

dual-target detectionPNART-qPCRSARS-CoV-2SARS related-CoV

Identifiers

PMID33007999
PMCPMC7601008

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.