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Qualification Panels for West Nile Virus RNA Tests

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Qualification Panels for West Nile Virus RNA Tests Mark Manak, Ph.D. Boston Biomedica, Inc. West Bridgewater, MA SoGAT Langen, Germany July 3, 2003 WNV Controls/Panels Panel/Controls Design Designed to closely mimic a true serum sample Cultured Virus from an infected individual Heat Treated Diluted in Defibrinated Plasma (Basematrix) Panel/Controls Uses Method optimization and comparison Standardization of WNV RNA concentration Useful for quantitation Monitoring assay performance West Nile Virus Qualification Panels QWN702 - WNV Lineage 1, NY 1999 (flamingo CDC) QWN701 - WNV Lineage 2, Uganda 1937 15 Member Panel 2 10,000 copies/ml 2 1,000 copies/ml 3 100 copies/ml 3 30 copies/ml 2 300 copies/ml 3 Negative Randomly Assorted Semi blinded WNV Run Control: Accurun 365 Accurun 365 WNV Positive Run Control Manufactured from cultured West Nile Virus* Target level of 300 copies/ml Ideally suited to monitor assay precision Validation of analytical runs Run Control for Blood Screening Assays Accurun 865 WNV Negative Run Control * NY99 isolate, Lineage 2 RT-PCR Quantitative WNV Assay Specific Primers for WNV 5’UTR: Detects all known isolates of WNV Env: Lineage 1 only, more sensitive Closed-tube, Real-time fluorescent assay Quantified with TaqMan probe Broad linear dynamic range Between 300 – 10,000,000 copies/ml Ultrasensitive assay Sensitivity to 30 copies/ml WNV RNA Standards-RNA Transcripts WNV RNA Quantitation 10,000 Standard 1,000 300 30 Neg. Copies/ml Ultra 10,000 1,000 300 100 30 Neg. Reproducibility of Ultrasensitive Assay 50 (n = 12) 45 Ct Values 40 35 30 25 0.5 100 32.2 0.43 1.35 1.5 RNA Copies/ml 30 35.0 0.8 2.3 2.5 Ave. Ct STD %CV QWN702 Panel Quantitation 5’-LTR 140uL Panel Member QWN 701. 03 QWN 701. 12 QWN 701. 05 QWN 701. 10 QWN 701. 06 QWN 701. 15 QWN 701. 01 QWN 701. 07 QWN 701. 11 QWN 701. 04 QWN 701. 09 QWN 701. 14 QWN 701. 02 QWN 701. 08 Target 10,000 10,000 1,000 1,000 300 300 100 100 100 30 30 30 0 0 Ct 33.36 33.43 36.66 37.35 38.04 37.94 39.49 40.60 40.50 50 50 50 50 50 Env Primer 140uL Ct 29.24 29.10 32.96 32.76 32.92 34.12 33.21 35.97 35.43 36.14 50 50 50 50 Env CDC Ct 29.25 29.05 32.00 31.55 33.80 33.10 36.05 36.30 36.40 39.15 45.90 44.65 50 50 BBI Ultra Assay Ct 26.32 26.00 30.09 29.91 30.36 30.50 32.69 32.21 32.88 35.47 34.61 35.33 50 50 QWN 701. 13 0 50 50 50 50 Comparison of Assays WNV TaqMan Assay Ct vs. Copy number 50 Ct Value 5'-LTR 140uL Env-140uL Env-CDC BBI Ultra 45 40 35 30 25 10,000 1,000 300 100 30 RNA Quant (Copies/mL) Negative Specimens Material Serum Plasma Basematrix Source of materials American Red Cross No. of samples 128 100 92 Ct 50 50 50 Results Negative Negative Negative BBI Diagnostics BBI Diagnostics WNV Positive Samples Target 108 107 2.0x 107 5.7x 106 28.5% 13 106 2.1x 106 6.5x 105 31.3% 12 105 2.1x 105 3.9x 104 18.6% 18 104 2.9x 104 2.2x 104 78% 14 103 3.4x 103 2.6x 103 76.2% 10 Average 1.1x108 (Copy/mL) STDEV CV #Samples 2.1x 107 19.0% 8 WNV Titers in Avian and Mosquito Tissues Avian Brains ID ZL02-249 ZL02-251 ZL02-255 ZL02-257 ZL02-265 ZL02-754 ZL02-755 ZL02-756 ZL02-760 ZL02-761 copies/g 0 0 0 0 0 136,000,000 37,800,000 52,200,000 10,400,000 190,000,000 ID SU02-01735 SL02-01742 SL02-01782 EM02-04183 NF02-07432 NF02-07465 NF02-07483 SU02-10395 SU02-10402 SU02-10466 Mosquito Pools copies/ml 0 0 1,360 0 155,000 559,000 4,200,000 0 0 465,000 BBI WNV Panel and Controls • BBI Panels and Controls – ACCURUN WNV RNA Positive Control A365 (NY99 Strain) – ACCURUN WNV RNA Negative Control A865 – QWN702 WNV Qualification Panel (Lineage 1) (NY99 Strain) – QWN701 WNV Qualification Panel (Lineage 2) (Uganda Strain) – WNV Characterized Samples (US Source) • Panels and controls Uses – – – – – Assay Development Comparison/standardization of Assays Training of Laboratory Personnel Assay Validation Monitoring Assay Performance Acknowledgements BBI Biotech Xiuli Chen, Ph.D. Jienli Wu Ron Meixell Boston Biomedica Inc. Alan Doty Barbara Weiblen Harmesh Sharma American Red Cross Chyang Fang, Ph.D. MA State Health Depart. Barbara Werner, Ph.D. FDA Maria Rios, Ph.D. CDC Robert Lanciotti, Ph.D.

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