The Challenge of an HIV Cure - Demystifying Medicine · The Challenge of an HIV Cure HIV provirus...
Transcript of The Challenge of an HIV Cure - Demystifying Medicine · The Challenge of an HIV Cure HIV provirus...
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The Challenge of an HIV Cure
HIV provirus integration and expression on long-term suppressive therapy
John M. CoffinTufts University
National Cancer Institute at Frederick
HIV Drug Resistance Program
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1. To understand the role of HIV in causing AIDS
2. To understand how antiretroviral drugs control, but do not cure HIV infection
3. To understand the role of persistently infected, dividing, cells in HIV persistence
Objectives
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1. Financial:Tocagen, Inc. SAB member and shareholder
2. Off-label or unapproved drug recommendations:None
Disclosures
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Global Burden of HIV Infection
UNAIDS,2015
Total: 36.7 million [34.0-39.8 million]
On Therapy 38,200
People undergoing antiretroviral therapy: 17 million
On Therapy: 2.1 million
On Therapy: 320,000
On Therapy: 1.8 million
On Therapy: 10.2 million
On Therapy: 1.4 million
On Therapy: 1.1 million
WHO, 2015
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Challenges of HIV Infection
• Current antiviral therapies that can fully suppress viralreplication and allow infected people to live a mostly normallife, but there are still both individual andand global challenges.
• Only about half the affected population has access to drugs,particularly in the worst-hit areas.
• Effective means of blocking transmission (PREP) are known, butnot widely used. A vaccine is still a dream.
• Development of resistance to antiviral drugs is still a majorissue, particularly in poorly-resourced areas.
• Antiviral drugs effectively suppress HIV infection, but will nevercure it.
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Timothy Brown was cured with a bone marrow transplant.
Why can’t we cure HIV Infection in everyone?
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Years on ART
-1 0 1 2 3 4 5 6
Pla
sma
HIV
-1 R
NA
(cop
ies/
ml)
10-1
100
101
102
103
104
105
106
107
Clinical LOD(50 copies/mL)
Initiate ART
Phase It½ = 1.5 days
Phase IIt½ = 28 days
Phase IIIt½ = 273 days
Courtesy Ben Hilldorfer, UPitt
HIV-1 RNA Decays in Four phases after Initiating ART
Phase IVt½ = ∞
1.0E-07
1.0E-06
1.0E-05
1.0E-04
1.0E-03
1.0E-02
1.0E-01
1.0E+00
1.0E+01
0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0
101
100
10-1
10-2
10-3
10-4
10-5
10-6
10-7 HIV
DN
A in
PB
MC
(rel
ativ
e to
sta
rt of
AR
T)
HIV-1 DNA Decays Much Less Than Plasma Virus RNA after Initiating ART
Interrupt therapy
7 ≥10Years
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Two Features of HIV Biology are Helpful in Understanding Persistence
• Generation of genetic diversity during ongoingvirus replication.
• Stable integration of DNA copy (provirus) of theviral genome at one of millions of sites in thehost cell DNA
• The first important point is to distinguishbetween two models: ongoing low-levelreplication and latent proviruses in long-livedcells.
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Inferring Virus Replication from Genetic Diversity
van Zyl et al Retrovirology 2018
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Clonal Expansion of RNA and DNA SequencesDuring Suppressive ART(NO Evidence for Evolution)
- 3 weeks
6 weeks
2.7 years
6.7 years
7.2 years
Reference*G>A hypermutantstop codon
*
99
99
99
99
90
99
99
4899
99
64
99
26
27
53
15
88
25
21
6
3
32
15
79
65
16
91
69
26
37
63
59
98
32
85
66
51
57
3
52
41
44
31
63
3
29
26
22
25
4
22
13
0
3
1
23
0
5
0
26
16
5
4
0
0
0
21
0
0
5
21
1
15
0
1
0
0
0
00
0
5
Different clonal populations of RNA and DNA appear after years of therapy
*Highly variable from patient to patient
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PT 3
pre- Rx (0.7%)
7 yr rebound (0.8%)
Pt 4
pre- Rx (1.0%)
5 yr rebound (0.6%)
0.0050.005
divergence = 0.2% divergence = 0.01%
No Evolution from Pre-therapy in Rebound Viremia After Long-term ART
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• The problem with the previous studies was thatthe high diversity of HIV in chronically-infectedindividuals made it difficult to detect additionaldiversification on ART.
• Therefore we studied HIV populations in a set ofinfected people who were diagnosed andstarted on antiretroviral therapy (ART) within afew weeks of infection, when the viruspopulation has had very little time to evolve.
• Although very difficult to identify, thesepatients provide a much stronger signal todetect HIV evolution.
Is There Ongoing HIV Replication on ART?
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No Evidence for Ongoing HIV Replication on ART? (At least in blood)
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• No evidence for on-going cycles of viral replication in individuals fully suppressed on ART
• Implies that the HIV reservoir is not maintained by on-going cycles of viral replication and therefore developing more potent ART will not cure HIV infection
• Others have proposed that ongoing replication during ART is not seen in blood, but does occur in the lymphoid compartment
• What’s going on in lymph nodes?
Summary and Implications
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Does HIV Replication Persist in
Lymphoid Tissues During ART?
• Sequenced paired lymph node and PBMC samples in four suppressed individuals and compared to pre-ART populations
• Sequenced longitudinal lymph node samples from individuals on ART
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Proviral Populations Are Not Different in PB
and LN After 5 Years of Suppression on ART
Diversity: Pre ART PB: 0.5%Long-term ART PB: 0.1%Long-term ART LN: 0.3%
0 days before ART (PBMC DNA)5.4 years on ART (PBMC DNA)5.4 years on ART (LNMC DNA)
6 nts
Probable clone
Probable clone
hypermutants
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hypermutants
No Difference in HIV Populations Across
Lymph Nodes
6 nts
Right Inguinal LNLeft Inguinal LN
Panmixia: p=0.6Diversity: Right LN: 1.6%
Left LN: 1.3%
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• No evidence for on-going cycles of viral replication in lymph nodes of adults fully suppressed on ART
• No evidence for “compartmentalization” of infected cells among lymph nodes and peripheral blood
• The HIV reservoir is not maintained by on-going cycles of viral replication and therefore developing more potent ART will not cure HIV infection
• Are identical sequences expanded clones or are they identical HIV variants (founder virus maybe?) with different integration sites?
Summary and Implications
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NO Evidence for a Role of HIV Replication in Maintaining the True Reservoir
What does maintain the reservoir?
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The Persistent Steady State
Long - lived cells
Short - lived cells
ART
Pre-ART
Erosion Proliferation
The number of infected cells remains about the same, but clonal populations appear
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• HIV DNA can irreversibly integrate at many millions of possiblesites in the cell gnome, and sites of integration can uniquely“tag” single infected cells and their progeny.
• In long-lived HIV-infected cells, sites of integration aredetermined both by initial preferences (i.e.., “hot spots”), byselection after integration, and by chance.
• The assay we used (thanks to Rick Bushman and CharlesBangham) involves shearing infected cell DNA, ligating linkers,PCR amplification with LTR and linker-specific primers, andpaired-end Illumina sequencing.
• Integration site is adjacent to LTR primer, and breakpoint is netto linker-specific primer.
• Multiple sequences with the Identical integration site andmultiple breakpoints imply clonal expansion of the cell afterinfection.
Integration Site Preferences 1.
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• We have assessed integration site distribution in cultured cells(PBMC, stem cells, various cell lines (>150,000 sites each) or inHIV infected patients during suppressive ART, and comparedwith gene expression (RNA-seq).
• In the next slides, cumulative integration sites in each intervalof chromosome 16 are shown in red, and the expression levelof each gene or region in blue.
• As you will see, the distribution of integration sites is highlysimilar, even between freshly isolated PBMCs and highlyaneuploid epithelial cell lines, like HeLa.
Multi-Scale Analysis of HIV Integration inand ex Vivo
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Jurkat Chromosome 16, 1-8882254
HeLa Chromosome 16, 1-8882254
HEK 293Chromosome 16, 1-8882254
PHA+ PBMC Chromosome 16, 1-8882254
A. Whole Chromosome 16 (350 kb/bin)
Patient 1 Chromosome 16, 1-8882254
All Patients Chromosome 16, 1-8882254
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Jurkat Chromosome 16, 9263001 -19263000
HeLa Chromosome 16, 9263001 -19263000
HEK 293Chromosome 16, 9263001 -19263000
PHA+ PBMC Chromosome 16, 9263001 -19263000
B. Chromosome 16 ca 10X from A (40 kb/bin)
Patient 1 Chromosome 16, 9263000 -19262999
All Patients Chromosome 16, 9263000 -19262999
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Jurkat Chromosome 16, 13763001-1476300
HeLa Chromosome 16, 13763001-1476300
HEK 293Chromosome 16, 13763001-1476300
PHA+ PBMC Chromosome 16, 13763001-1476300
C. Chromosome 16 10X from B (4kb/bin)
Patient 1 Chromosome 16, 13763001-1476300
All Patients Chromosome 16, 13763001-1476300
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Translation Start Site
Transcription
Intron 6Intron 5Intron 4
PBMC
Integration Sites in MKL2 in Patient 1
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Integration Site Preferences 2.Selection for Specific Regions
• In long-lived HIV-infected cells, sites of integration aredetermined both by initial preferences (i.e.., “hot spots”) andby selection after integration.
• Integrations in MKL2 (and a couple of other genes) in patient 1are clearly due to selection for preferential growth or survivaldue to effects of provirus on host gene expression,reminiscent of well-known models of retroviral oncogenesis.
• Only a very small fraction of proviruses seem to be involved insuch effects. What does the overall distribution look like?
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Integration Site Analysis Identifies Highly Expanded Clonesin Patient 1
Maldarelli et al. Science 2014
Expanded clones with fewer than 7
integrants
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Are all HIV Integrations in Patients on ART in Expanded Clones?
• We think it likely that they are, but we sample only about 10-6
of the CD4+ T cell population.
• We might be able to figure it out if we knew the underlyingdistribution of clones, but this is a very difficult problem…
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What does the City Look Like?
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Oh
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Clonal Expansion of Infected Cells
can Arise in Several Ways
• Direct effects of the integrated provirus on cell multiplication or survival
• Chance outgrowth of a memory cell during homeostatic replacement
• Antigen driven expansion during an active immune response
The latter two effects have nothing to do with the provirus, but it serves tomark all descendants of an originally infected cell.
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Case Report: Patient 1: Persistence and Rebound of HIV Viremia on cART
Rebound
TreatmentInterruption
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Cancer diagnosis
HIV Viremia: Persistence and Rebound on cART
Therapy switch
1nt
63
53
53
33
45
6236
71
100
45
5658
99
Prior to changein cART
WT Virus
M184VK103N
ResistanceMutations
Present
After changein cART
WT Virus
ResistanceMutations
Present
99
1nt
99
96
After changein cART
WT VirusONLY
1nt
100
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AMBI-1 Full Provirus is Intact
Encodes Infectious virus!
Amplify in overlapping fragments and sequence
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Log
cop
ies/
ml
The Predominant Virus in Plasma is Produced by the AMBI-1 Provirus
*Bootstrap values >.85
AMBI-1 provirus
P6-RT Sequences
HIV RNA 12.14.09 Plasma
HIV DNA 12.09.11 CD4 DNA
HIV RNA 12.09.11 Plasma
HIV RNA 07.23.12 Plasma
HIV RNA 08.31.12 Plasma
1
10
100
1,000
10,000
100,000
6/1/08 10/14/09 2/26/11 7/10/12
Predominant Plasma
Clone (PPC)
Date
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A Highly Expanded HIV Clone Carries anInfectious Provirus
This is the first known case where we could identify and characterize a clone of latently-infected cells responsible
for infectious virus in blood
Only a small fraction of cells express virus RNA (not shown).What is the epigenetic state of this provirus?
(We don’t know yet. It’s not DNA methylation)
What is driving clonal expansion?(We know a little bit)
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Despite the potential for viral cytopathic effect and immune-mediated killing of expressing cells,
cell clones can both expand and harbor intact proviruses that produce infectious virus over time.
Ca 1% of cells with the AMBI-1 provirus express small amounts of RNA at any one time.
(M. Kearney)
Persistent Clone
Persistent Clone is responsible for Residual Viremia
cART blocks new infections
Antigen
Cells infected with an intact provirus can expand and produce infectious HIV
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Summary
• We found no evidence for either ongoing replication or
compartmentalization of HIV in blood or lymph nodes during
suppressive ART, implying that infection is primarily maintained as
long-lived cells infected prior to ART.
• Integration site may influence persistence and clonal expansion and
therefore, the virus that rebounds
• Expanded clones CAN contain infectious proviruses, and are almost
certainly the source of rebound virus when therapy is stopped.
• Curing HIV infection will require completely new strategies for
eliminating or otherwise dealing with this expanding persisting
reservoir, which must be very large, and is highly variable from one
patient to the next.
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Acknowledgments• Translational Research Unit
– Mary Kearney
• Jon Spindler
• Wei Shao
• Andrew Musick
• Ann Weigand
• Michael Bale
• Retroviral Replication Laboratory
– Stephen Hughes• Andrea Ferris
• Clinical Retrovirology Section
– Frank Maldarelli
• Shawn Hill
• Francesco Simonetti
• Leidos Biomedical Inc– Xiaolin Wu
• Amber Guo• Daaria Wells
– HMMC• Jeff Lifson• Brandon Keele• Rob Gorelick
• University of Pittsburgh– John Mellors
• Michelle Sobolewski
• UCSF DARE Collaboratory– Steve Deeks
NCI Contract No. HHSN261200800001E
NIH Bench to Bedside Program
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And the Patient Participants!
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