qualification panels for west nile virus rna tests mark manak, ph.d. boston biomedica, inc. west...
TRANSCRIPT
Qualification Panels for West Nile Virus RNA Tests
Mark Manak, Ph.D.Boston Biomedica, Inc.West Bridgewater, MA
SoGATLangen, Germany
July 3, 2003
WNV Controls/Panels
Panel/Controls DesignDesigned to closely mimic a true serum sample Cultured Virus from an infected individualHeat TreatedDiluted in Defibrinated Plasma (Basematrix)
Panel/Controls UsesMethod optimization and comparisonStandardization of WNV RNA concentrationUseful for quantitationMonitoring 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 3 100 copies/ml
2 1,000 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 runsRun Control for Blood Screening Assays
Accurun 865 WNV Negative Run Control
* NY99 isolate, Lineage 2
RT-PCR Quantitative WNV Assay
Specific Primers for WNV5’UTR: Detects all known isolates of WNVEnv: Lineage 1 only, more sensitive
Closed-tube, Real-time fluorescent assayQuantified with TaqMan probe
Broad linear dynamic rangeBetween 300 – 10,000,000 copies/ml
Ultrasensitive assay Sensitivity to 30 copies/ml
WNV RNA Standards-RNA Transcripts
WNV RNA Quantitation
Standard
Ultra
1,000300
10,000
10,0001,000
30
300100
Copies/ml30Neg.
Neg.
Reproducibility of Ultrasensitive Assay
25
30
35
40
45
50
0.5 1.5 2.5
RNA Copies/ml
Ct
Val
ues
100 30
Ave. Ct 32.2 35.0STD 0.43 0.8%CV 1.35 2.3
(n = 12)
QWN702 Panel Quantitation
Panel Member Target
5’-LTR140uL
Env Primer140uL
EnvCDC
BBI Ultra Assay
Ct Ct Ct Ct
QWN 701. 03 10,000 33.36 29.24 29.25 26.32
QWN 701. 12 10,000 33.43 29.10 29.05 26.00
QWN 701. 05 1,000 36.66 32.96 32.00 30.09
QWN 701. 10 1,000 37.35 32.76 31.55 29.91
QWN 701. 06 300 38.04 32.92 33.80 30.36
QWN 701. 15 300 37.94 34.12 33.10 30.50
QWN 701. 01 100 39.49 33.21 36.05 32.69
QWN 701. 07 100 40.60 35.97 36.30 32.21
QWN 701. 11 100 40.50 35.43 36.40 32.88
QWN 701. 04 30 50 36.14 39.15 35.47
QWN 701. 09 30 50 50 45.90 34.61
QWN 701. 14 30 50 50 44.65 35.33
QWN 701. 02 0 50 50 50 50
QWN 701. 08 0 50 50 50 50
QWN 701. 13 0 50 50 50 50
Comparison of Assays
WNV TaqMan Assay Ct vs. Copy number
25
30
35
40
45
50
10,000 1,000 300 100 30
RNA Quant (Copies/mL)
Ct V
alue
5'-LTR 140uL
Env-140uL
Env-CDC
BBI Ultra
Negative Specimens
MaterialSource of materials
No. of samples
Ct Results
SerumAmerican Red Cross
128 50 Negative
PlasmaBBI Diagnostics
100 50 Negative
BasematrixBBI Diagnostics
92 50 Negative
WNV Positive Samples
Target 108 107 106 105 104 103
Average (Copy/mL)
1.1x108 2.0x 107 2.1x 106 2.1x 105 2.9x 104 3.4x 103
STDEV 2.1x 107 5.7x 106 6.5x 105 3.9x 104 2.2x 104 2.6x 103
CV 19.0% 28.5% 31.3% 18.6% 78% 76.2%
#Samples 8 13 12 18 14 10
WNV Titers in Avian and Mosquito Tissues
Avian Brains Mosquito Pools ID copies/g ID copies/ml ZL02-249 0 SU02-01735 0 ZL02-251 0 SL02-01742 0 ZL02-255 0 SL02-01782 1,360 ZL02-257 0 EM02-04183 0 ZL02-265 0 NF02-07432 155,000ZL02-754 136,000,000 NF02-07465 559,000ZL02-755 37,800,000 NF02-07483 4,200,000 ZL02-756 52,200,000 SU02-10395 0 ZL02-760 10,400,000 SU02-10402 0 ZL02-761 190,000,000 SU02-10466 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
Boston Biomedica Inc.Alan Doty
Barbara Weiblen Harmesh Sharma
American Red CrossChyang Fang, Ph.D.
MA State Health Depart.Barbara Werner, Ph.D.
FDAMaria Rios, Ph.D.
CDCRobert Lanciotti, Ph.D.
BBI Biotech Xiuli Chen, Ph.D. Jienli Wu Ron Meixell