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Results of donor screening with nucleic acid amplification tests (NAT)
and implications for HIV research, diagnosis and surveillance
Michael P. Busch, MD, PhDProfessor of Laboratory Medicine, UCSF
Director, Blood Systems Research Institute
Overview of presentation
1. RNA dynamics in primary HIV infection and projected yield of NAT in low and high incidence populations
2. Design of NAT assays for blood screening
3. Yield and cost effectiveness of NAT screening of blood donors
4. Applications of donor NAT assays in research settings
HIV Viremia during early infection
HIV RNA (plasma)HIV Antibody
11
0 10 20 30 40 50 60 70 80 90 100
HIV p24 Ag
16 22
Ramp-up viremia
DT = 21.5 hrs
1st gen2nd gen
3rd gen
p24 Ag EIA -
HIV MP-NAT -
HIV ID-NAT -
Peak viremia: 106-108 gEq/mL
“blip” viremia
Viral set-point: 102 -105 gEq/mL
AIDS, 17:1871-9, 2003.
AIDS, 17:1871-9, 2003
Time Table of HIV Stage Progression based on 51 Seroconverting Plasma Donors
StageMarker Duration in Days
(95% CI)**RNA p24 Ag Ab (EIA) WB
I + - - - - 5.0 (3.1, 8.1)
II + + - - - 5.3 (3.7, 7.7)
III + + - + - 3.2 (2.1, 4.8)
IV + +/- - + IND 5.6 (3.8, 8.1)
V + +/- +/- + + * 69.5 (39.7, 121.7)
VI + +/- + + + open-ended
* without p31 band ** calculations are based on a parametric Markov model
AIDS, 17:1871-9, 2003.
Individual Rates and Linear Regression Model of HIV RNA Production during Early Infection.
LOG HIV RNA [gEq/mL]
1
2
3
4
5
6
7
8
9
-10 -5 0 5 10 15 20Day
N = 97 Samples from 44 Plasma donorsDT: 21.5 hrs (95% CI: 19.2-24.6)
Projected WP Closure and Yield of p24 Ag, MP and ID NAT Assays Relative to a Sensitive HIV-EA
Antibody Test in the Detection of WP HIV Infection
Assay Sensitivity
[gEq / mL]
WP Closure
[days]
Yield, WP HIV Infections per 1,000 Persons Tested in Various Screening Settings
[ Representative Incidence Rate / Person-Years ]
Blood Donors
[ 2 / 100,000 = 0.002% ]
STD Clinic
[ 1 / 1,000 = 0.1% ]
High Risk Clinic
[ 1 / 10 = 10% ]
p24 Ag 10,000 6 0.00033 0.016 1.6
MP NAT 1,000 9 0.00049 0.025 2.5
ID NAT 50 13 0.00071 0.036 3.6
AIDS, 17:1871-9, 2003
Proposed Laboratory Stages of Primary HIV Infection
with Semiquantitative Plot of HIV Assay Reactivities
Representative HIV Conversion Panels with Pre-Ramp-Up “Blip” Viremia
(RNA “blip” observed in 7/19 informative panels)
Days from First MP-PCR+ Test
p24 Ag HIV-1 Ab
HIV-1 RNA (copies / mL)
# Pos /
# Replicate PCR
- 21 Neg Neg < 100 1 / 10
- 19 Neg Neg < 100 7 / 8
- 14 Neg Neg < 100 0 / 8
- 11 Neg Neg < 100 0 / 8
- 7 Neg Neg < 100 0 / 8
- 4 Neg Neg < 100 3 / 8
0 Neg Neg 260 5 / 5
3 Neg Neg 27,000
7 Pos Neg 370,000
9 Pos Neg 2,800,000
16 Pos REACT 410,000
Alpha / BCP Case 1012
New Test Implementation and Declining Risk of Viral Infections from Transfusion
Busch et al. JAMA 2003; 289: 959-962
Advances in NAT systems for blood donor screening
• Fully automated platforms– Bar coded tubes to validated electronic results
• Generic extraction of RNA/DNA• Internal controls to verify amplification• Multiplex or parallel detection of mulitple viruses
(Taqman, beacon or DKA strategies)• Primers selected to amplify divergent subtypes• Rapid response to emerging pathogens
TIGRISFully Automated NAT System
Procleix Specimen ProcessingTarget Capture/Magnetic Microparticle Separation
Viral Lysis Treat specimens with heat and detergent Release nucleic acid
Nucleic Acid Capture Hybridize target sequence to capture probes Hybridize capture probe to oligomer sequence bind to magnetic particle
Removal of unwanted specimen Apply magnetic field to separate target from residual sample Remove residual specimen by washing
Magnetic Microparticle
TTTTTTTTTTTTTT
TTTTTTTTTTTTTT
TTTTTTTTTTTTTT
Ma
gn
e t
3’ AAAAAA…AAACAUCUAAC…CGU 5’
5’ GUAGAUUG…GCA 3’
Capture Oligo
Target RNA orDNA
TT
TT
TT
TT
TT
TT
TT
TT
TT
TT
TT
TT
TT
TT
Procleix Detection Dual Kinetics Analysis (DKA)
Used to differentiate Internal Control (IC) signal from target signal
Utilizes Acridinium Ester (AE) labeled probes with differential kinetics of light-off
Ortho Fluoro Acridinium Ester labeled probe = flasher probe, hybridizes to IC
2’Methyl Acridinium Ester labeled probes = Glower probes, hybridize to West Nile virus amplicon
ETF Algorithm deconvolutes light-off and calculates each signal
0
2000
4000
6000
8000
10000
12000
14000
16000
1 4 7 10
13
16
19
22
25
28
31
34
37
40
43
46
49
Interval
RLU
Flasher
Background
Glower
Analytical Sensitivity, HIV-1Chiron Procleix™ HIV-1/HCV Assay and HIV-1 Discriminatory Assay
02 04 06 08 0
1 0 01 2 0
0 1 3 1 0 3 0 1 0 0 3 0 0
HIV/HCV, Lot AHIV Discr, Lot AHIV/HCV, Lot BHIV Discr, Lot B
50% detection at 8 Copies/ml
Copies/ml
Pos
itivi
ty r
ate
Roche Fully Automated TaqScreen™ System
COBAS AmpliPrep
COBAS TaqMan
Hamilton Pipettor
TaqMan™ 5' Nuclease AssayFluorescence Energy Transfer Probe
Q
Qh
R
R
R
Primer ProbeR Fluorescence Emission
Quenched
R = ReporterQ = Quencher
R Fluorescence EmissionDetected
h Q
Testing Algorithm for Plasma Pools usingChiron/G-P Procleix™ Assays
Plasma PoolsPlasma Pools
Non-Reactive PoolsNon-Reactive PoolsReactive PoolsReactive Pools
Non-Reactive SamplesNon-Reactive SamplesReactive SamplesReactive Samples
Discriminated SamplesDiscriminated Samples Non-Discriminated SamplesNon-Discriminated Samples
HIV-1 and HCV Discriminatory ProbesHIV-1 and HCV Discriminatory Probes
Chiron Procleix HIV-1/HCV AssayChiron Procleix HIV-1/HCV Assay
Chiron Procleix HIV-1/HCV AssayChiron Procleix HIV-1/HCV Assay
Constituent SamplesConstituent Samples
Results of NAT Screening in U.S.
Virus Dates Units tested NAT+/Ab-
HCV 4-10/99 to 12/04
53.3 million 230 (1/230,000)
HIV 4/99-12/00 to 12/04
50.3 million 18(1/3.1 million)
HBV 8/02 to 12/04
1.7 million 5(1/330,000)
WNV 7/03 to 11/04
4.8 million 968(1/5,000)
Stramer, Glynn, Kleinman, Caglioti, Strong, Busch . NEJM, 2004Gandhi, Strong, Kleinman et al. Blood102 (11):192A, 2003
Morb Mortal Wkly Rep 52:1160
Correlation of routine HIV NAT screening with supplemental HIV serological data
5,972 HIV-EIA RR of 7.6 million donations at BSL, 04/99 - 07/03
NAT Result
Pos
Ind
Neg
Total
Pos
(dHIV R)
267
(93%)
2**
(0.1%)
0
269
Neg (mTMA on
MPs)
18*
286
2216
2218
3468
3468
5702
Western Blot Result
* 9/18 autologous donations, 6/9 from 3 donors. 1 false positive WB, f/u EIA R, WB(-), NAT(-). ** 1 w/ 1+ p24 band-only; 1 w/ +/- p24, p55, gp120 & 2+ gp160 bands.
Total
EIA signal/cutoff and WB band data for 18 BSL donor samples that tested WB-pos /
NAT-negNAT HIV EIA HIV S/CO HIV S/CO HIV S/CO GS_BLOT E18 E24 E31 GS40 E41 E51 E55 E65 E120 E160
NR R POS + + +/- + + + + + + +NR R 2.246 1.874 1.781 POS - + - - - - - - - +NR R POS ++ ++ ++ ++ ++ ++ ++ ++ ++ ++NR R 7.813 6.281 5.905 POS +/- ++ ++ ++ ++ ++ ++ ++ ++ ++NR R 8.031 6.678 7.331 POS ++ ++ ++ ++ ++ ++ ++ ++ ++ ++NR R 7.592 7.197 6.945 POS ++ ++ ++ ++ ++ ++ ++ ++ ++ ++NR R 7.577 7.278 7.281 POS +/- + ++ ++ ++ + ++ ++ + ++NR R POS - ++ + ++ + + ++ ++ + ++NR R 6.722 6.878 6.879 POS + ++ ++ ++ ++ ++ ++ ++ ++ ++NR R 7.624 6.28 6.089 POS ++ ++ ++ ++ ++ + ++ ++ ++ ++NR R 7.93 8.062 7.843 POS ++ ++ ++ ++ ++ + ++ + ++ ++NR R 7.519 7.888 7.473 POS ++ ++ ++ ++ ++ ++ ++ ++ ++ ++NR R 6.994 7.003 7.385 POS + ++ ++ ++ ++ + ++ ++ ++ ++NR R 7.331 6.898 7.427 POS +/- ++ ++ ++ + ++ ++ + ++ ++NR R 7.314 6.691 6.965 POS +/- ++ +/- ++ + +/- ++ ++ ++ ++NR R 6.985 6.196 7.042 POS +/- ++ ++ ++ ++ +/- ++ ++ ++ ++NR R 7.492 6.574 6.716 POS + ++ ++ ++ ++ + ++ + ++ ++NR R 7.577 7.105 6.563 POS ++ ++ ++ ++ ++ ++ ++ ++ ++ ++
17 infected donors with probable very low-level viremia 1 donor with false positive WB
0
5 0
1 0 0
1 5 0
2 0 0
2 5 0
3 0 0
3 5 0
4 0 0
4 5 0
J u l y A u g S e p O c t
M P - N A T I D - N A T
Yield of WNV NAT screening of 4,585,573 donations from July-October, 2003
ARC & ABC (~95% of U.S. collections)
944 confirmed viremic donors.: - 770 detectable by MP-NAT - 174 ID-NAT-only (BSI and ARC screened 36,269 donations)
Incremental WP Closure and Projected Yield (U.S.) of ID over MP-NAT Screening
Assumes 20 member pools: 20-fold differential sensitivity of ID-NAT and MP-NAT (e.g., 5 gEq/mL vs. 100 gEq/mL)
Does not include detection by ID-NAT of intermittent, low-level viremic episodes preceding ramp-up viremia
WP Closure (days)
Yieldper 107
HCV 3.2 2.5 (1:4,000,000)
HIV 3.9 2.5 (1:4,000,000)
HBV 12.3 14.5 (1:690,000)
Risk (per unit) of transmission of major viruses calculated using I x WP model
HIVHIV 1 : 1,200,0001 : 1,200,000 1 : 1,800,0001 : 1,800,000 1 : 2,800,000 1 : 2,800,000
HCVHCV 1 : 230,0001 : 230,000 1 : 1,600,0001 : 1,600,000 1 : 2,300,0001 : 2,300,000
HBVHBV 1 : 220,0001 : 220,000 1 : 260,0001 : 260,000 1 : 500,0001 : 500,000
pre-NATpre-NAT MP-NATMP-NAT ID-NATID-NAT
Yield and Cost-Effectiveness of Enhanced Blood Screening Procedures
$ / Test Yield / 107 Units
$ / QALY
HIV Ab $ 2 1,000 3,600
HCV Ab $ 3 2,400 - 94,400
HIV p24 Ag $ 4 5 (1) > 1,880,000
HIV/HCV MP-NAT $ 15 3 / 45 4,300,000
HIV/HCV ID-NAT $ 30 6 / 48 7,300,000
Incremental CE of ID-NAT over MP-NAT: $15 million / QALY
Jackson, Busch, Stramer, AuBuchon. Transfusion, 2003.
Application of donor NAT screening assays in HIV research, diagnostic and public health settings
• Pathogenesis and treatment studies (AIEDRP)– Mechanisms of viral clearance/control– Immune and viral evolution during primary infection– Response of early vs delayed therapy– Antiviral vs immune enhancement strategies
• Vaccine trials– Establish incidence in enrolled populations– Discriminate vaccine response from breakthrough Tx– Precisely define infection dates for assessment of
efficacy• PEP trial
– Real-time NAT sensitivity and specificity
Yield of RNA and LS-EIA screening for enrollment
into AIEDRP primary HIV infection study (SF Options Project 6/96 to 12/04)
HIV RNA -309
HIV RNA +71
Antibody -/Ind380
Antibody -0-6 months
91
LS-EIA NR28
LS-EIA R31
Antibody -7-12 months
59
Doc. HIV -< 1year ago
150
LS EIA NR263
LS-EIA R194
No Doc. HIV Test457
Antibody +607
Screened987
71 of 486 cases of primary infection detected in viremic pre-SC stages
40 EIA-, 31 WBind
Use of NAT Testing to Determine Time of Infection in Two Phase III Trials of an HIV Vaccine (VAX004/005)
• 30 of 711 infections (1.8%) detected by SC occurred in volunteers who were already viremic at baseline - would have been misclassified as vaccine failures
– Based on 15-day (+/-5) NAT+/Ab- WP, baseline annualized HIV incidence estimated at 5.4% (1.2%-13.7%, combined 95%CI).
• Additional 34% of infections had their date of infection changed based on NAT - important in the time-to-event analyses of efficacy
• No vaccine effect on rate of detection of RNA+/Ab- samples – no evidence for accelerated or retarded seroconversion