anti-hiv antibody responses reflect the quantifiable hiv reservoir size sulggi lee, m.d., ph.d....
TRANSCRIPT
Anti-HIV Antibody Responses Reflect the Quantifiable
HIV Reservoir Size
Sulggi Lee, M.D., Ph.D.Assistant Professor of Medicine
University of California, San FranciscoJuly 20, 2015
Chronic/Latent Viral Infections Lead to Prolonged Antibody Responses
VZV Antibody Half-Life ~ 50 Years
Amanna NEJM 2007
0.0001
0.001
0.01
0.1
1
10
100
1000
10000
0 1 2 3 4 5 6 7
Time on HAART (years)
Lat
entl
y In
fect
ed C
ells
(In
fect
ious
Uni
ts p
er 1
06 ce
lls)
The Size of the HIV Reservoir is Also Stable During Long-Term ART
-
Time to eradication> 73.4 years
0.00001
Siliciano Nat Med 2003
Anti-HIV Antibody Levels May Distinguish Individuals With Different HIV Reservoir Sizes
Burbelo JID 2014
Antib
ody
Leve
lsLi
ght U
nits
(LU
)
Anti-gp41 Levels
*
*
*
*
Anti-HIV Antibody Levels May Be Sensitive Measures of the Reservoir Size Over Time
Longitudinal data from Burbelo JID 2014
Anti –gp41 Levels
Median
Years of ART
Antib
ody
Leve
lsLi
ght U
nits
(LU
)
Pre-ART
0
Hypothesis: Antibody Levels in Blood at Steady-State Reflect Total Body Reservoir Size
Y
Y
Y
Y
Y
Y
Y
YY
Y
Y
Y
Y
CD4+
Primary Infection
Establishment of Infection in
Lymphoid Tissue
Antibody Production
Current Issues in Measuring HIV Reservoir
• How to measure the success of HIV cure treatments if no scalable, precise assay of the reservoir?
• The HIV reservoir is much larger in tissue than in blood– A reliable measure that reflects the HIV reservoir in tissue?
• Most measures of the HIV reservoir are virologic assays, not cell-based assays measuring host response to virus
Eriksson PLoS Pathogens 2013, Ho Cell 2013, Chun JID 2008, Yukl JID 2010
Study Design
• Aim: Determine whether anti-HIV antibody levels reflect the size of the latent reservoir
• Participants: 61 HIV+ individuals who– Initiated ART during chronic infection– Have been ART-suppressed for at least 3 years
P I V Q N I Q G Q M V H Q A I S P R T L N A W V K V V E E K A F S P E V I P M F S A L S E G A T P Q D L N T M L N T V G G H Q A A M Q M L K E T I N E E A A E W D R V H P V H A G P I A P G Q M R E P R G S D I A G T T S T L Q E Q I G W M T N N P P I P V G E I Y K R W I I L G L N K I V R M Y S P T S I L D I R Q G P K E P F R D Y V D R F Y K T L R A E Q A S Q E V K N W M T E T L L V Q N A N P D C K T I L K A L G P A A T L E E M M T A C Q G V
G G P G H K A R V L*
Luciferase
Luciferase
One letter code for amino acids
YY
Y Y
YY
Y
C
C
C
C
L
L
LL = linear epitopeC= conformational epitopes
Novel Luciferase Immunoprecipitation Systems (LIPS) Assay Detects Conformational Antibodies
Question: Are HIV Reservoir Measures Associated with Anti-HIV Antibody Levels?
• gp120• gp41• reverse transcriptase• integrase• protease• matrix• p24
12 Measures of the HIV Reservoir 7 Anti-HIV Antibody Levels
Erikkson PLoS Pathogens 2013, Lewin J Virol 1999, Burbelo JID 2014
Permutation Testing To test the association between
reservoir and antibody measures, adjusted for multiple comparisons
• Total HIV DNA • CD4+ T cells (rtPCR)• PBMCs (ddPCR)• Resting CD4+ T cells (ddPCR)
• Integrated HIV DNA • CD4+ T cells (rtPCR)• PBMCs (aluPCR)• Resting CD4+ T cells (aluPCR)
• 2-LTR HIV DNA • CD4+ T cells (rtPCR)• PBMCs (ddPCR)• Resting CD4+ T cells (ddPCR)
• Unspliced HIV RNA• CD4+ T cells (rtPCR)
• Plasma HIV RNA • Plasma (rtPCR single copy assay)
• Infectious Units per Million • Resting CD4+ T cells (VOA)
Study Participant Characteristics
Characteristics N=61Gender (Male) 59 (96%)*
Age (years) 56 (50-61)
Pre-ART HIV RNA (log10copies/mL) 3.9 (3.5-4.1)
Nadir CD4+ T cell count (cells/mm3) 215 (124-343)
Duration of ART (years) 6 (3-11)
Proximal CD4+ T cell count (cells/mm3) 670 (541-809)
*Number (%) Median and Interquartile Range shown
Measures of the HIV DNA (Total, Integrated) are Correlated with Anti-HIV Antibody Levels
gp120 gp41 RT INT PR MA p24Total HIV DNA
CD4+ T cells (rtPCR) 0.16 -0.03 0.16 0.18 0.17 0.11 -0.08
PBMCs (ddPCR) 0.44 0.48 0.30 0.40 0.40 0.23 0.16
Resting CD4+ T cells (ddPCR) 0.51 0.28 0.62 0.57 0.60 0.54 0.29
Integrated HIV DNA CD4+ T cells (rtPCR) 0.21 0.07 0.20 0.11 0.27 0.06 0.06
PBMCs (aluPCR) 0.80 0.73 0.76 0.70 0.54 0.53 0.41
Resting CD4+ T cells (aluPCR) 0.50 0.72 0.82 0.50 0.25 0.34 0.25
Measures of the “Active” or Replication-Competent Reservoir are Weakly Correlated with Anti-gp120 Levels
gp120 gp41 RT INT PR MA p242-LTR HIV DNA
CD4+ T cells (rtPCR) 0.05 -0.12 -0.10 -0.10 0.14 0.17 -0.07
PBMCs (ddPCR) 0.47 0.26 0.33 0.56 0.46 0.39 0.01
Resting CD4+ T cells (ddPCR) -0.05 0.14 0.09 0.01 0.02 0.09 -0.14
Unspliced HIV RNA CD4+ T cells (rtPCR) 0.40 0.15 0.09 0.12 0.05 0.07 0.10
Plasma HIV RNA Plasma (rtPCR SCA) -0.03 -0.24 -0.15 -0.10 -0.16 -0.06 -0.01
Infectious Units (Per 106) Resting CD4+ T cells (VOA) 0.45 0.43 0.20 0.31 0.30 0.25 0.02
Overall, HIV Reservoir Measures Strongly Correlate with Anti-gp120, -gp41, and -RT Levels
gp120 gp41 RT INT PR MA p24All HIV Reservoir Measures
Correlation (R) 0.80 0.73 0.82 0.70 0.60 0.54 0.41P 0.009 0.04 0.007 0.05 0.20 0.34 0.68
* Adjustment for age, nadir CD4+ T cell count, proximal CD4+ T cell count, years of ART suppression, pre-ART viral load did not significantly alter these results.
Conclusions
• We observed a strong association between measures of the latent HIV reservoir and anti-HIV antibody levels
• Overall, anti-gp120, -gp41, and -RT were most strongly correlated with HIV reservoir size
• Total and integrated HIV DNA were strongly associated with antibody levels against Env and Pol proteins
• Measures of the “active” (CA-US RNA, 2-LTR DNA) and replication-competent (VOA) reservoir were weakly associated with anti-gp120 levels
Remaining Questions• Can viral RNA or proteins be produced in cells with
defective proviruses?– And elicit a host immune response?
• Is there preferential B cell response?– Relative “importance” of Env > Pol > Gag antigens?
• Why are HIV CA-DNA and CA-RNA but not plasma RNA correlated with anti-HIV antibody levels?– Do antibody levels do a good job of quantifying the HIV
tissue reservoir?
Can Anti-HIV Antibody Levels Monitor Response to HIV Cure Strategies?
Antibody Levels Pre-Treatment Antibody Levels Post-Treatment
Acknowledgements• UCSF
– Steven Deeks– Saunak Sen
• NIH/NIDCR– Peter Burbelo
• Johns Hopkins– Robert Siliciano– Janet Siliciano
• University of Melbourne– Sharon Lewin
• UCSD– Douglas Richman– Matthew Strain
• University of Pennsylvania– Una O’Doherty
• University of Sydney– Sarah Palmer
• University of Montreal– Nicolas Chomont– Remi Fromentin