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HIV-1 Resistance - Implications For Clinicians. Joseph J. Eron Jr., MD Professor of Medicine University of North Carolina. Overview of Presentation. HIV-1 resistance to ARV; a consequence of viral replication and HIV biology Suppression of HIV replication limits resistance - PowerPoint PPT Presentation
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HIV-1 Resistance - Implications For Clinicians
Joseph J. Eron Jr., MD
Professor of Medicine
University of North Carolina
Overview of Presentation
• HIV-1 resistance to ARV; a consequence of viral replication and HIV biology
• Suppression of HIV replication limits resistance
• Clinical indications for resistance testing– Genotype vs. phenotype
• Clinical Importance of transmitted resistance
• Multiple causes of virologic failure of ART
• Resistance testing is one key to successful therapy in the treatment experienced patient
• Novel agents – novel resistance
Resistance Is a Matter of DegreeHigh-level resistance Little or no virologic response
Low-level / intermediate resistance
Suboptimal virologic response
Susceptible No reduced drug susceptibility
Types of Resistance Tests
• Genotype– HIV gene sequencing of the patient’s virus to detect
mutations known to confer drug resistance
• Phenotype– Measures ability of a recombinant virus derived from the
patient sample to grow in different concentrations of antiretroviral drugs
Hirsch et al. Clin Infect Dis. 2003;37:113-28.
Interpretation of Genotypic Assays
• Is an indirect measure of resistance– Requires knowledge of which mutation are associated with a
change in susceptibility
• Expert advice– May not be available– Experts’ views may be inconsistent
• Rules-based algorithms– Provided by most labs, third-party sites– Need regular updating
• Virtual Phenotype (VircoType)– Phenotypic information using genotype– Database of matched genotypes and phenotypes
Provider Knowledge of Specific Resistance Mutations
0
10
20
30
40
50
60
3TC:1
84V
Any N
NRTI
Any A
BC
> 2
ABC
1 TA
M
> 2
TAM
s
NFV:30
or 9
0
Pan N
RTI
Mutations
% P
rovi
ders
Rec
ogni
z ing
Spe
cific
Mut
atio
ns
Salama et al. Clin Infect Dis. 2003;36:101-4.
N = 100
Phenotypic SusceptibilityRelationship Between Drug Concentration and Viral Inhibition
Inhi
bitio
n of
Viru
s R
eplic
atio
n (%
)
50
0
100
Fold resistance
Wild-type IC50 Resistant IC50
Wild-typeResistant
Drug Concentration
Interpretation of Phenotypic Assays• Results reported as IC50 or fold-change (FC)
compared with IC50 of wild-type virus
• Individual results provided for each drug
• Thresholds to define reduced susceptibility– Biologic cutoff: based on biologic variations in treatment-
naive patients (usually 2 SD > median)
– Clinical cutoff:• As good as clinical data used to estimate cut points• Resistance is a continuum – precise breakpoints unlikely• Two relevant breaks?
– Decreased response and
– Minimal response
Current Guidelines for Resistance Testing
1. DHHS. Guidelines. Oct 10, 2006.2. Hirsch et al. Clin Infect Dis. 2003;37:113-28. 3. Vandamme et al. Antivir Ther. 2004;9:829-48.
DHHS[1] IAS-USA[2] EuroGuidelines [3]
Primary Infection Recommend Recommend Recommend
PEP (Source Pt) — — Recommend
Chronic Recommend RecommendRecommend/
Consider
Treatment Failure Recommend Recommend Recommend
Pregnancy — Recommend * Recommend *
Pediatric — — Recommend **
* Only if mother is viremic** Only if mother was viremic and on treatment at time of birth
Transmitted ARV Resistance
Clinically Important in the Developed World
Surveillance Essential in the Developing World
How Common is Drug Resistance at Diagnosis?• US Variant, Atypical and Resistant HIV Surveillance System (VARHS)
– Estimate prevalence of transmitted resistant mutations– Determine distribution of HIV subtypes
• March 2003 to October 2006; 11 states, 409 sites, n=3130
10%
5%
Any NRTI NNRTI PI MDR
M41L 45.1% of NRTIK103N 70.1% of NNRTIL90M 40.0% of PI95% Subtype B
Wheeler et al. 14th CROI. Los Angeles, 2007. Abs 648
6.9%
3.6%
2.4% 1.9%
FTC-301A: Impact of Baseline Resistance on Treatment Outcome
0
20
40
60
80
100
Any NNRTI NRTI K103N Any NNRTI NRTI K103N
Without baseline mutationWith baseline mutation
Borroto-Esoda et al. 11th CROI, 2004. Abs 672.
Mutation type:
Naive pts, baseline VL > 5000 copies/mL
FTC + ddI + EFV(n=270)
d4T + ddI + EFV(n=276)
Inci
denc
e (%
) of
V
irolo
gic
Fai
lure
Resistance and Virologic Failure
Multiple Causes of Virologic Failure
Replication in the Presence of Antiretrovirals Results in Resistance
Insufficient drug level
Resistant virus
Social/personal issuesRegimen issuesToxicities
Poor potency
Wrong dose
Host genetics
Poor absorption
Rapid clearance
Poor activation
Drug interactions
Poor adherence
Viral replication in the presence of drug
Resistant virus
Treatment-Experienced Patients: ARV Treatment Failure
ART resistance testing. National resource center. Available at: http://www.aidsetc.org/aidsetc?page=et-01-00. Accessed November 29, 2006.
Pre-existing resistance
Partiallyeffectiveregimen
Highly effectiveregimen
Adherence
Res
ista
nce
Impact of Suboptimal Adherence
Bangsberg et al. AIDS 2003;17:1925-32.
Resistance Testing in Treatment Experienced Patients• Detectable plasma HIV RNA on therapy
• First Question ‘Is it time to switch therapy?’– Obtain resistance testing
• The greater the resistance the more useful phenotype or virtual phenotype
– Assess clinical situation• Adherence• Previous treatment history – ARV tolerability and toxicity
• Balance clinical urgency with availability of active agents including new drugs and expanded access
• New agents – especially those in a new class are likely to have the most activity
With New Agents in Existing Classes (PI and NNRTI) Resistance Patterns
Are More ComplexDarunavir (DRV)
Tipranavir (TPV)
Etravirine (ETV)
New Agents in Existing Classes
• Mutations to older agents are likely to be present– Majority variants
– Minority variants
• Some degree of cross resistance can be anticipated– Cross resistance increases with the number and type of
mutations
• The activity of a new agent from a new class is likely to be more predictable even with state of the art resistance testing
TORO Studies - Enfuvirtide
9
32
44 4652
08
19 20 19
0
20
40
60
80
100
0 1 2 3 4Baseline 'Active' Drugs in OB
% N
on-S
TI
Pat
ient
s w
ith V
L <
400
copi
es/m
L at
Wee
k 48
ENF + OB (n=541) OB (n=286)
Miralles et al. AIDS 2005;19:2178-9.Lalezari et al. NEJM 2003;348:2185-85.Lazzarin et al. NEJM 2003;348:2186-95.
DC+Switch=Failure *p<0.05
*
**
* *
ENF+OB: 98 179 152 83 27 OB: 49 88 84 46 16
TORO Studies - Enfuvirtide
9
32
44 4652
08
19 20 19
0
20
40
60
80
100
0 1 2 3 4Baseline 'Active' Drugs in OB
% N
on-S
TI
Pat
ient
s w
ith V
L <
400
copi
es/m
L at
Wee
k 48
ENF + OB (n=541) OB (n=286)
Miralles et al. AIDS 2005;19:2178-9.Lalezari et al. NEJM 2003;348:2185-85.Lazzarin et al. NEJM 2003;348:2186-95.
DC+Switch=Failure *p<0.05
*
**
* *
ENF+OB: 98 179 152 83 27 OB: 49 88 84 46 16
TORO Studies - Enfuvirtide
9
32
44 4652
08
19 20 19
0
20
40
60
80
100
0 1 2 3 4Baseline 'Active' Drugs in OB
% N
on-S
TI
Pat
ient
s w
ith V
L <
400
copi
es/m
L at
Wee
k 48
ENF + OB (n=541) OB (n=286)
Miralles et al. AIDS 2005;19:2178-9.Lalezari et al. NEJM 2003;348:2185-85.Lazzarin et al. NEJM 2003;348:2186-95.
DC+Switch=Failure *p<0.05
*
**
* *
ENF+OB: 98 179 152 83 27 OB: 49 88 84 46 16
CCR5 Inhibitors
• HIV-1 entry into CD4 cells is dependent on a second receptor: CCR5 (R5 viruses) or CXCR4 (X4 viruses)
• Early in HIV disease course most individuals have only R5 virus detectable
• In more advanced disease and highly treatment experienced patients dual tropic virus or mixtures of R5 and X4 viruses are more common
• CCR5 Inhibitors bind to host receptor (CCR5) blocking entry– Maraviroc and vicriviroc
– Both have shown substantial activity in patients
Association Between Emergence of SI Virus and CD4+ Cell Count
• NSI virus predominates early in disease
• Dual/mixed virus detected in approximately 50% of patients over time
• CD4+ cell count decline accelerates following detection of SI in patients in whom NSI-only virus was previously detected
• Will emergence of X4 variants on R5 inhibitor therapy lead to CD4 cell decline?
-36
Mea
n (S
E)
CD
4+ C
ell C
ount
(c
ells
/mm
3 )
Koot et al. Ann Intern Med. 1993;118:681-688.
NSI
NSI → SI
800
600
400
200
-12-24 0 12 24 36
Time (Months)
0-48
SI
HIV-1 Resistance to CCR5 Antagonists• Two mechanisms
– Selection for (emergence of) viral variants that use CXCR4 (dual tropic viruses or mixed populations)• Occurs about 2/3 of the time• As yet NOT associated with rapid fall in CD4 cell count
– Alterations (mutations) in HIV gp 120• No Change in viral tropism• Allows virus to use CCR5 with inhibitor bound• Plateau in antiviral effect as opposed to change in IC50
– The drug is unable to fully inhibit virus regardless of concentrations achieved
Integrase Inhibitors
• Integrase mechanism has 3 steps– Association with dsHIV DNA – pre-integration complex
– 3’ processing by integrase enzyme
– Strand transfer of HIV DNA into host chromosome
• Potent inhibitors of stand transfer now in development– Raltegravir – Phase III studies recently presented
– Elvitegravir – Phase II studies
Integrase Inhibitor Resistance
• Primary mutations surround the catalytic site
• Raltegravir– Resistance emerged in 3/4 patients with virologic failure
who had genotype results
– Two major pathways with apparent primary mutations but one or more additional mutations• Likely compensatory for fitness
– Cross resistance between integrase inhibitors is not yet known
Summary
• Antiretroviral resistance is a consequence of HIV replication and defines an active antiretroviral
• Resistance Impacts all stages of antiretroviral treatment typically with increasing complexity with increasing antiretroviral treatment experience
• In treatment experienced patients resistance information guides regimen selection but also influences the timing of therapy switch
• New agents with new mechanisms present challenges for the identification, quantification and clinical impact of resistance