Real-time PCR (rPCR) is a widely accepted diagnostic tool for the detection and quantification of nucleic acid targets. In order for these assays to achieve high sensitivity and specificity, primer and probe-template complementarity is essential; however, mismatches are often unavoidable and can result in false-negative results and errors in quantifying target sequences. Primer and probe sequences therefore require continual evaluation to ensure they remain fit for purpose. This paper describes the development of a linear model and associated computational tool (GoPrime) designed to predict the performance of rPCR primers and probes across multiple sequence data. Empirical data were generated using DNA oligonucleotides (n = 90) that systematically introduced variation in the primer and probe target regions of a diagnostic assay routinely used to detect foot-and-mouth disease virus (FMDV); an animal virus that exhibits a high degree of sequence variability. These assays revealed consistent impacts of patterns of substitutions in primer and probe-sites on rPCR cycle threshold (CT) and limit of detection (LOD). These data were used to populate GoPrime, which was subsequently used to predict rPCR results for DNA templates (n = 7) representing the natural sequence variability within FMDV. GoPrime was also applicable to other areas of the FMDV genome, with predictions for the likely targets of a FMDV-typing assay consistent with published experimental data. Although further work is required to improve these tools, including assessing the impact of primer-template mismatches in the reverse transcription step and the broader impact of mismatches for other assays, these data support the use of mathematical models for rapidly predicting the performance of rPCR primers and probes in silico.
The COVID-19 pandemic has illustrated the importance of rapid, accurate diagnostic testing for the effective triaging and cohorting of patients and timely tracking and tracing of cases. However, a surge in diagnostic testing quickly resulted in worldwide competition for the same sample preparation and real-time RT-PCR diagnostic reagents (rRT-PCR). Consequently, Hampshire Hospitals NHS Foundation Trust, UK sought to diversify their diagnostic portfolio by exploring alternative amplification chemistries including those that permit direct testing without RNA extraction. This study describes the validation of a SARS-CoV-2 RT-LAMP assay, which is an isothermal, autocycling, strand-displacement nucleic acid amplification technique which can be performed on extracted RNA (RNA RT-LAMP) or directly from swab (Direct RT-LAMP). Analytical specificity (ASp) of this new RT-LAMP assay was 100% and analytical sensitivity (ASe) was between 1⨯10 1 and 1⨯10 2 copies when using a synthetic DNA target. The overall diagnostic sensitivity (DSe) and specificity (DSp) of RNA RT-LAMP was 97% and 99% respectively, relative to the standard of care (SoC) rRT-PCR. When a C T cut-off of 33 was employed, above which increasingly evidence suggests there is a very low risk of patients shedding infectious virus, the diagnostic sensitivity was 100%. The DSe and DSp of Direct-RT-LAMP was 67% and 97%, respectively. When setting C T cut-offs of ≤33 and ≤25, the DSe increased to 75% and 100%, respectively. Time from swab-to-result for a strong positive sample (C T < 25) was < 15 minutes. We propose that RNA RT-LAMP could replace rRT-PCR where there is a need for increase in throughput, whereas Direct RT-LAMP could be used as a screening tool for triaging patients into appropriate hospitals wards, at GP surgeries and in care homes, or for population screening to identify super shedders. Direct RT-LAMP could also be used during times of high prevalence to save critical extraction and rRT-PCR reagents by screening out those strong positives from diagnostic pipelines.
Introduction: Rapid, high throughput diagnostics are a valuable tool, allowing the detection of SARS-CoV-2 in populations, in order to identify and isolate people with asymptomatic and symptomatic infections. Reagent shortages and restricted access to high throughput testing solutions have limited the effectiveness of conventional assays such as reverse transcriptase quantitative PCR (RTqPCR), particularly throughout the first months of the pandemic. We investigated the use of LamPORE, where loop mediated isothermal amplification (LAMP) is coupled to nanopore sequencing technology, for the detection of SARS CoV 2 in symptomatic and asymptomatic populations. Methods: In an asymptomatic prospective cohort; health care workers across four sites (Birmingham, Southampton, Basingstoke and Manchester) self swabbed with nasopharyngeal swabs weekly for three weeks and supplied a saliva specimen daily. These samples were tested for SARS CoV 2 RNA using the Oxford Nanopore LamPORE system and a reference RTqPCR assay on extracted sample RNA. A second retrospective cohort of 848 patients with influenza like illness from March 2020 to June 2020, were similarly tested from nasopharyngeal swabs. Results: In the asymptomatic cohort a total of 1200 participants supplied 23,427 samples (3,966 swab, 19,461 saliva) over a three-week period. The incidence of SARS CoV 2 was 0.95% using LamPORE. Diagnostic sensitivity and specificity was > 99.5% in both swab and saliva asymptomatic samples as compared to the reference RTqPCR test. In the retrospective symptomatic cohort, the incidence was 13.4% and the sensitivity and specificity were 100%. Conclusions: LamPORE is a highly accurate methodology for the detection of SARS CoV 2 in both the symptomatic and asymptomatic population settings and can be used as an alternative to RTqPCR.