Reducing false-positive SARS-CoV-2 diagnoses using long-range RT-qPCR
Quantitative polymerase chain reaction (qPCR) is a sensitive molecular method for the detection of genetic material and regarded as the gold-standard for diagnostic testing. To detect respiratory RNA virus infections, a reverse transcription (RT) step is implemented to create cDNA molecules that can serve as template in the qPCR step. However, positive RT-qPCR results can be found long after patient recovery, in part because the RT-qPCR can detect residual viral RNA genome fragments. To minimize the detection of such fragments, we here modified the RT-qPCR assay by replacing the routinely used random hexamers with an oligonucleotide that binds to the 3' end of the viral genome. We demonstrate that this method allows us to distinguish between infectious and non-infectious samples. Moreover, in clinical samples obtained over 15 days after the onset of symptoms, we observe that the modified RT-qPCR protocol yields significantly fewer positive results compared to a commercial RT-qPCR test. No significantly different results were found compared to the commercial test when SARS-CoV-2 clinical samples were tested within 5 days of the onset of symptoms, suggesting that the modification has a similar sensitivity for detecting infectious viral RNA. Overall, these findings may help differentiate between incorrectly-positive, persistently positive, and reinfection cases in COVID-19 patients.