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. 2022 Jun 1:531:309-317.
doi: 10.1016/j.cca.2022.04.997. Epub 2022 Apr 29.

Semi-nested RT-PCR enables sensitive and high-throughput detection of SARS-CoV-2 based on melting analysis

Affiliations

Semi-nested RT-PCR enables sensitive and high-throughput detection of SARS-CoV-2 based on melting analysis

Ngoc Anh Thi Nguyen et al. Clin Chim Acta. .

Abstract

Background: Asymptomatic transmission was found to be the Achilles' heel of the symptom-based screening strategy, necessitating the implementation of mass testing to efficiently contain the transmission of COVID-19 pandemic. However, the global shortage of molecular reagents and the low throughput of available realtime PCR facilities were major limiting factors.

Methods: A novel semi-nested and heptaplex (7-plex) RT-PCR assay with melting analysis for detection of SARS-CoV-2 RNA has been established for either individual testing or 96-sample pooled testing. The complex melting spectrum collected from the heptaplex RT-PCR amplicons was interpreted with the support of an artificial intelligence algorithm for the detection of SARS-CoV-2 RNA. The analytical and clinical performance of the semi-nested RT-PCR assay was evaluated using RNAs synthesized in-vitro and those isolated from nasopharyngeal samples.

Results: The LOD of the assay for individual testing was estimated to be 7.2 copies/reaction. Clinical performance evaluation indicated a sensitivity of 100% (95% CI: 97.83-100) and a specificity of 99.87% (95% CI: 99.55-99.98). More importantly, the assay supports a breakthrough sample pooling method, which makes possible parallel screening of up to 96 samples in one real-time PCR well without loss of sensitivity. As a result, up to 8,820 individual pre-amplified samples could be screened for SARS-CoV-2 within each 96-well plate of realtime PCR using the pooled testing procedure.

Conclusion: The novel semi-nested RT-PCR assay provides a solution for highly multiplex (7-plex) detection of SARS-CoV-2 and enables 96-sample pooled detection for increase of testing capacity. .

Keywords: Artificial intelligent; COVID-19; High-throughput PCR; Melting analysis; Pooling; Semi-nested.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Authors state no conflict of interest.

The corresponding author of current manuscript, Tho Huu Ho, is also the inventor of the pending patent application (PCT/IB2021/052120), which described the novel method of pooling after the pre-amplification step for high-throughput molecular testing.

Vietnam Military Medical University - VMMU (Hanoi, Vietnam) and Mien Dong Sai Gon Clinics - MDSC (Dong Nai, Vietnam) provide major funding for this work, and are the co-applicants of mentioned pending patent application.

VMMU and MDSC had granted Ampharco U.S.A (Dong Nai, Vietnam) to use the pending application for manufacturing of the test kits (named “AmphaBio HT-HiThroughput PCR COVID-19 kit”), which then were approved by Vietnam Ministry of Health on May 7th, 2021 for emergency use in response to COVID-19 pandemic situation.

Figures

None
Graphical abstract
Fig. 1
Fig. 1
Overview of the assay. A: (1) cDNA was synthesized from viral RNA and then pre-amplified using a conventional thermocycler (2.5 h); Pre-amplified cDNA samples were either (2) individually amplified or (3) pooled then amplified in a single-tube PCR reaction (1.5 h), prior to (4) Melting Analysis for the detection of SARS-CoV-2; (5) If a pool is reported as negative with SARS-CoV-2, all samples included in that pool are reported negative; (6) If a pool is positive with SARS-CoV-2, the pre-amplified cDNA samples included in the positive pool are sub-pool tested and/or individually tested following the plan created by the cloud-based application. B: Principles of the heptaplex semi-nested PCR, which includes the pre-amplification and melting semi-nested PCR reaction; Fo: outer forward primer, Ro: outer reverse primer, Fi: inner forward primer.
Fig. 2
Fig. 2
Detection of SARS-CoV-2 RNA with the semi-nested RT-PCR assay. (A) Representative raw melting spectra resulted from 2 samples positive with SARS-CoV-2 RNA (blue lines: Positive samples), 6 samples negative with SARS-CoV-2 RNA (orange lines: Negative samples), positive control (red line) and negative control (green line); and (B) Output generated with the cloud-based application that interprets the melting spectra collected from each well of the realtime PCR instrument.

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