Dataset Information

Diagnostic power of one-step and two-step RT-qPCR methods to SARS‑CoV‑2 detection.

ABSTRACT:

Background

Coronavirus-2019 (COVID-2019) is a novel coronavirus known as Acute Respiratory Syndrome (SARS-CoV-2). The premier standard test for SARS-CoV-2 diagnosis is a one-step RT-qPCR method, which requires specific probes and reagents. Therefore, detection on a large scale is expensive and cannot be very accurate.

Methods

A cost-effective technique based on SYBR green was evaluated in the current study. The specific primers for S and N genes were designed, then performed the cross-reactivity test with other coronavirus and respiratory viruses positive samples. Moreover, the analytical sensitivity test was carried out with 8 dilutions (1:10). Lastly, the SARS-CoV-2 clinical samples (n = 210) were tested by these two methods, and receiver operating characteristic (ROC) analysis was performed to investigate the incremental diagnostic value of each gene in the study methods.

Results

The two-step method detected up to 6th dilutions of the SARS-CoV-2 samples and did not show any amplification of the positive samples of other respiratory viruses. ROC analysis revealed a diagnostic ability of the two-step method for SARS-CoV-2 with an area under the ROC curve of ≥ 0.7 (P ˂ 0.05) and relatively high sensitivity and specificity. The combination of N and S genes increased the sensitivity up to 88%, specificity up to 86%, and area under the ROC curve up to 0.85 (95% confidence interval (95% CI) 0.72 to 0.93, P = 0.0461).

Conclusion

Our findings indicated that the two-step method has comparable sensitivity and specificity to the one-step method. Therefore, this method can be considered a potential diagnostic method for diagnosing and monitoring COVID-19 patients. It suggests that when the one-step RT-qPCR method is not available, the two-step RT-qPCR can be used to identify SARS-CoV-2.

SUBMITTER: Malekshahi A

PROVIDER: S-EPMC9152310 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Diagnostic power of one-step and two-step RT-qPCR methods to SARS‑CoV‑2 detection.

Malekshahi Asra A Khanizadeh Sayyad S Fallahi Shirzad S Talei Gholamreza G Birjandi Mehdi M Hajizadeh Faezeh F

BMC infectious diseases 20220531 1

<h4>Background</h4>Coronavirus-2019 (COVID-2019) is a novel coronavirus known as Acute Respiratory Syndrome (SARS-CoV-2). The premier standard test for SARS-CoV-2 diagnosis is a one-step RT-qPCR method, which requires specific probes and reagents. Therefore, detection on a large scale is expensive and cannot be very accurate.<h4>Methods</h4>A cost-effective technique based on SYBR green was evaluated in the current study. The specific primers for S and N genes were designed, then performed the c ...[more]

PMID: 35641907

Similar Datasets

Project description:BackgroundSensitive, rapid, and accessible diagnostics continue to be critical to track the COVID-19 pandemic caused by the SARS-CoV-2 virus. RT-qPCR is the gold standard test, and comparison of methodologies and reagents, utilizing patient samples, is important to establish reliable diagnostic pipelines.MethodsHere, we assessed indirect methods that require RNA extraction with direct RT-qPCR on patient samples. Four different RNA extraction kits (Qiagen, Invitrogen, BGI and Norgen Biotek) were compared. For detection, we assessed two recently developed Taqman-based modules (BGI and Norgen Biotek), a SYBR green-based approach (NEB Luna Universal One-Step Kit) with published and newly-developed primers, and clinical results (Seegene STARMag RNA extraction system and Allplex 2019-nCoV RT-qPCR assay). We also tested and optimized direct, extraction-free detection using these RT-qPCR systems and performed a cost analysis of the different methods evaluated here.ResultsMost RNA isolation procedures performed similarly, and while all RT-qPCR modules effectively detected purified viral RNA, the BGI system provided overall superior performance (lower detection limit, lower Ct values and higher sensitivity), generating comparable results to original clinical diagnostic data, and identifying samples ranging from 65 copies to 2.1 × 105 copies of viral genome/μl. However, the BGI detection system is more expensive than other options tested here. With direct RT-qPCR, simply adding an RNase inhibitor greatly improved detection, without the need for any other treatments (e.g. lysis buffers or boiling). The best direct methods detected ~ 10 fold less virus than indirect methods, but this simplified approach reduced sample handling, as well as assay time and cost.ConclusionsWith extracted RNA, the BGI RT-qPCR detection system exhibited superior performance over the Norgen system, matching initial clinical diagnosis with the Seegene Allplex assay. The BGI system was also suitable for direct, extraction-free analysis, providing 78.4% sensitivity. The Norgen system, however, still accurately detected samples with a clinical Ct < 33 from extracted RNA, provided significant cost savings, and was superior to SYBR green assays that exhibited reduced specificity.

Dataset Information

Diagnostic power of one-step and two-step RT-qPCR methods to SARS‑CoV‑2 detection.

Background

Methods

Results

Conclusion

Publications

Diagnostic power of one-step and two-step RT-qPCR methods to SARS‑CoV‑2 detection.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets