Background: The pan-influenza A real-time RT-PCR detection assay developed by the Centers for Disease Control and Prevention (CDC) during the 2009 pandemic is widely utilized. A quantitative version of the assay may be useful to monitor influenza A infection and response to treatment. Objectives: To prove in principle the possibility that a virtual quantification tool (VQT) would allow conversion of CDC real-time RT-PCR cycle threshold (Ct) values in virus RNA copy number. Study design: A plasmid carrying the CDC real-time RT-PCR target region of the influenza A Matrix (M) gene was generated. In a multicenter study, a set of 5 ten-fold dilutions (equivalent to 1×102 to 1×106copies/reaction) were prepared and distributed to the 4 participating virology laboratories and then amplified to generate a virtual quantification standard curve. Clinical samples (n=120) were quantified in parallel by interpolation with locally generated standard curves and using the VQT. Results: A total of 40 standard curves were obtained by the participating centers (ten from each center). The intra- and inter-laboratory variability showed a coefficient of variation (CV) ≤5%. Influenza A virus quantification in 120 respiratory samples showed a significant correlation between interpolation with locally generated standard curves and the VQT (R2=0.9655). Bland Altman analysis showed that the majority (no. 111, 92.5%) of clinical samples had <0.5log10 variation. Conclusions: VQT proofs the concept that qualitative results from real-time RT-PCR assays can be converted into quantitative determination of virus load in clinical samples without running standard curves in parallel.
BACKGROUND: The pan-influenza A real-time RT-PCR detection assay developed by the Centers for Disease Control and Prevention (CDC) during the 2009 pandemic is widely utilized. A quantitative version of the assay may be useful to monitor influenza A infection and response to treatment. OBJECTIVES: To prove in principle the possibility that a virtual quantification tool (VQT) would allow conversion of CDC real-time RT-PCR cycle threshold (Ct) values in virus RNA copy number. STUDY DESIGN: A plasmid carrying the CDC real-time RT-PCR target region of the influenza A Matrix (M) gene was generated. In a multicenter study, a set of 5 ten-fold dilutions (equivalent to 1×10(2) to 1×10(6)copies/reaction) were prepared and distributed to the 4 participating virology laboratories and then amplified to generate a virtual quantification standard curve. Clinical samples (n=120) were quantified in parallel by interpolation with locally generated standard curves and using the VQT. RESULTS: A total of 40 standard curves were obtained by the participating centers (ten from each center). The intra- and inter-laboratory variability showed a coefficient of variation (CV) ≤5%. Influenza A virus quantification in 120 respiratory samples showed a significant correlation between interpolation with locally generated standard curves and the VQT (R(2)=0.9655). Bland Altman analysis showed that the majority (no. 111, 92.5%) of clinical samples had <0.5log(10) variation. CONCLUSIONS: VQT proofs the concept that qualitative results from real-time RT-PCR assays can be converted into quantitative determination of virus load in clinical samples without running standard curves in parallel.
Virtual quantification of influenza A virus load by real-time RT-PCR
Esposito, Susanna Maria Roberta;
2013
Abstract
BACKGROUND: The pan-influenza A real-time RT-PCR detection assay developed by the Centers for Disease Control and Prevention (CDC) during the 2009 pandemic is widely utilized. A quantitative version of the assay may be useful to monitor influenza A infection and response to treatment. OBJECTIVES: To prove in principle the possibility that a virtual quantification tool (VQT) would allow conversion of CDC real-time RT-PCR cycle threshold (Ct) values in virus RNA copy number. STUDY DESIGN: A plasmid carrying the CDC real-time RT-PCR target region of the influenza A Matrix (M) gene was generated. In a multicenter study, a set of 5 ten-fold dilutions (equivalent to 1×10(2) to 1×10(6)copies/reaction) were prepared and distributed to the 4 participating virology laboratories and then amplified to generate a virtual quantification standard curve. Clinical samples (n=120) were quantified in parallel by interpolation with locally generated standard curves and using the VQT. RESULTS: A total of 40 standard curves were obtained by the participating centers (ten from each center). The intra- and inter-laboratory variability showed a coefficient of variation (CV) ≤5%. Influenza A virus quantification in 120 respiratory samples showed a significant correlation between interpolation with locally generated standard curves and the VQT (R(2)=0.9655). Bland Altman analysis showed that the majority (no. 111, 92.5%) of clinical samples had <0.5log(10) variation. CONCLUSIONS: VQT proofs the concept that qualitative results from real-time RT-PCR assays can be converted into quantitative determination of virus load in clinical samples without running standard curves in parallel.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
