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The UC San Diego AntiViral Research Center sponsors weekly
presentations by infectious disease clinicians, physicians and
researchers. The goal of these presentations is to provide the most
current research, clinical practices and trends in HIV, HBV, HCV, TB
and other infectious diseases of global significance.
The slides from the AIDS Clinical Rounds presentation that you are
about to view are intended for the educational purposes of our
audience. They may not be used for other purposes without the
presenter’s express permission.
AIDS CLINICAL ROUNDS
What%can%we%learn%%
from%HIV%superinfec6on?%
Gabriel%Wagner,%MD%
Division%of%Infec6ous%Diseases%
University%of%California%San%Diego%
Outline%
•  Introduc6on%
•  How%common%is%superinfec6on?%
•  What%are%the%individual%consequences?%
•  What%does%it%portend%for%ra6onal%vaccine%
design?%
Outline%
•  Introduc6on%
•  How%common%is%superinfec6on?%
•  What%are%the%individual%consequences?%
•  What%does%it%portend%for%ra6onal%vaccine%
design?%
Types%of%HIV%Dual%Infec6on%
M.Pacold%
Strain 1 + Strain 2
Coinfection
(CI)
Time
Strain 1 Strain 2
Superinfection
(SI)
Time
Intrasubtype
(same subtype)
or
Intersubtype
(different subtypes)
HIVI1%M%Subtypes%Global%Distribu6on%
Hemelaar%J.%Trends'Mol'Med'2012%
Artenstein%et%al.%JID%1995;171:805I10%%
Previous%Inves6ga6ve%Methods%
•  Single%genome%sequencing%(SGS):%obtain%the%sequences%
of%20I30%individual%HIV%genomes%
•  Lacks%sensi6vity%required%to%discern%low%minority%
popula6ons%(<5%)%
•  Cannot%be%used%in%large%cohorts%
Next%Genera6on%Sequencing%
•  Shorter%reads,%but%many%more%of%them%
•  High%coverage%depth%suitable%for%detec6ng%
minority%variants%(<1%)%[Archer%et%al.,%PLOS'One'2012;%7(11)]%%
[Modified%from%Bushman%et%al.,%AIDS%2008]%
400
100
50
960 000
250 000 000
519 000 000
hbp://www.genomeweb.com/sequencing/surveyIilluminaIsolidIandI454IgainIgroundIresearchIlabsImostIusersImullIaddi6on%
Dual%infec6on%detec6on%
•  Blood%→%%HIVI1%RNA%→%cDNA%→!PCR%3%regions%
•  454%sequencing%(Roche)%
•  Bioinforma6cs%and%phylogene6c%analyses%
•  DI:%nucleo6de%divergence>%2.5%%(RT,%gag)%and%>%
5%%(env),%confirmed%by%phylogene6c%bootstrap%
env: C2-V3-C3
(416 bp)
pol: RT
(534 bp)
gag: p24
(253 bp)
Pacold%et%al.,%AIDS'2012,%26:157–165%
Phylogenies:%Dual%vs.%Monoinfec6on%
P265%env,%3rd%year%of%infec6on%
Divergence:%16%%
D381%env,%6th%year%of%infec6on%
Divergence:%14%%
High%
bootstrap%
support%for%
dual%
infec6on%
Outline%
•  Introduc6on%
•  How%common%is%superinfec6on?%
•  What%are%the%individual%consequences?%
•  What%does%it%portend%for%ra6onal%vaccine%
design?%
Redd%et%al.%JID%2012;206:267–74%
•  Heterosexual%open,%rural%cohort%
•  7%out%of%149%iden6fied%with%interI%or%intraIsubtype%superinfec6on%
•  Rate%of%HIV%superinfec6on:%1.44%per%100%PYs%
•  Unadjusted%primary%HIV%incidence%rate:%1.15%per%100%PYs%
•  Adjusted%primary%incidence%3.28%per%100%PYs%(borderline%sta6s6cal%significance)%
•  Seroincident%cohort%of%highIrisk%women%in%Mombasa,%Kenya%
•  21%out%of%129%iden6fied%with%interI%or%intraIsubtype%superinfec6on%
•  Rate%of%HIV%superinfec6on:%2.61%per%100%Pys%
•  Primary%HIV%incidence%rate:%5.75%per%100%PYs%
•  Superinfec6on%incidence%significantly%lower%than%primary%HIV%incidence,%
with%a%hazard%ra6o%of%0.47%(CI%0.29–0.75,%p%=%0.0019)%
•  Lower%incidence%of%superinfec6on%was%only%observed%>%6%months%
aner%ini6al%infec6on.%
Rates%of%HIV%dual%infec6on%in%SD%
•  Of%118%cohort%par6cipants:%
– 7%coIinfec6ons%(5.9%,%95%%CI%2.4%−11.8%)%%
– 10%superinfec6ons%over%201.6%personIyears,%
resul6ng%in%overall%incidence%of%superinfec6on%of%
4.96!per!100!person.years!(95%%CI%2.67–9.22)%
•  7%superinfec6ons%occurred%in%the%first%year%(6.3%%firstI
year%incidence,%95%%CI%2.6%−12.6%),%and%3%in%the%
second%year%(2.9%%secondIyear%incidence,%95%%CI%0.6%
−8.2%)%
•  Primary%HIV%incidence:%4.37!per!100!person.years!(95%%
CI%3.56–5.36)%
Wagner%et%al.,'JID%2014%Apr%1;209(7):1032I8%
SD%Primary%Infec6on%Cohort%
Wagner%et%al.,'JID%2014%Apr%1;209(7):1032I8%
Wagner%et%al.,'JID%2014%Apr%1;209(7):1032I8%
Cumula6ve%Prevalence%
Throughout%215%personIyears%of%followIup,%the%cumula6ve%prevalence%of%
HIVI1%dual%infec6on%(coIinfec6ons%and%superinfec6ons)%was%14.4%%(95%%CI%
8.6%−22.1%).%
Wagner%et%al.,'JID%2014%Apr%1;209(7):1032I8%
Timing%of%superinfec6on:%Mombasa%cohort%
Ronen%et%al.,'PLOS'Pathog'2013%9(8):%e1003593.%
Outline%
•  Introduc6on%
•  How%common%is%superinfec6on?%
•  What%are%the%individual%consequences?%
•  What%does%it%portend%for%ra6onal%vaccine%
design?%
Figure 2: Kaplan-Meier curves of time from seroconversion to AIDS or death in
dually and singly infected patients
Goblieb%et%al.,%Lancet%2004;%363:%619–22%
Figure 2: Kaplan-Meier curves of time from seroconversion to AIDS or death in
dually and singly infected patients
Goblieb%et%al.,%Lancet%2004;%363:%619–22%
Figure!3.%%Changes%in%CD4%TIcell%counts%rela6ve%to%adjusted%baseline%as%es6mated%by%
linear%mixed%modeling.%P%values%of%comparisons%of%changes%from%baseline%between%
the%groups%were%calculated%by%fipng%linear%mixed%models.%The%diagonal%lines%show%
the%longitudinal%slopes%of%CD4%TIcell%count,%as%es6mated%by%the%linear%mixed%
modeling.%
Cornelissen%et%al.,%CID%2012;54(4):539–47%%
Fig.!2.%(a)%Viral%load%and%(b)%CD4%progressions%of%the%three%infec6on%groups.%Mean%VL%and%
mean%square%root%CD4%per%month%of%infec6on%for%each%group%are%plobed,%and%the%linear%
mixed%model%fit%is%shown%for%each%group.%Red%arrows%indicate%the%6ming%of%SI%for%each%of%
the%seven%SI%par6cipants.%SI,%superinfec6on;%VL,%viral%load.%
Pacold%et%al.,%AIDS%2012,%26:157–165%%%
Table S1 – Sociodemographic and clinical characteristics of the cohort at the time of initial
infection detection* at cohort enrollment
Ronen%et%al.,%AIDS%2014,%28:2281–2286%%
Figure 1. Effect of superinfection on viral load and CD4+ cells.
Ronen%et%al.,%AIDS%2014,%28:2281–2286%
Figure 1c. Effect of superinfection on clinical events.
Ronen%et%al.,%AIDS%2014,%28:2281–2286%
HIV%dual%infec6on%and%
neurocogni6ve%impairment%
•  HIVIassociated%neurocogni6ve%disorder%(HAND):%
–  Con6nues%to%be%prevalent%among%infected%individuals%
on%an6retroviral%therapy%(ART)%
–  Associated%with%lower%CD4%counts%and%AIDS%
•  Neurological%sequelae%of%DI%are%unknown%
•  Used%nextIgenera6on%sequencing%to:%
–  Describe%prevalence%of%DI%among%ARTIsuppressed%
par6cipants%of%the%CHARTER%cohort%
–  Examine%rela6onship%between%HAND%and%DI%
Background%
•  HIV-associated neurocognitive impairment
– high prevalence despite post-ART era
– associated with decreased T-cell counts and
worsened progression to AIDS
Vivithanaporn%et%al.,%Neurology%2010%
myhivclinic.org%from%McArthur%J%et%al.%Ann'Neurol.%2010;67;%An6nori%A%et%al.%Neurology.%2007;69%
CHARTER%
•  CNS%HIV%An6Retroviral%Therapy%Effects%Research%
– Large%mul6Isite%neuroAIDS%cohort%
– 1600%crossIsec6onal,%652%longitudinal%
– Comprehensive%neuromedical%and%neurobehavioral%
assessments%
•  WellIestablished%neuropsychological%tes6ng%babery%
resul6ng%in%demographically%adjusted%TIscores%corrected%
for%age,%educa6on,%sex,%and%ethnicity%(including%norms%for%
Spanish%speakers)*%
*Heaton%RK,%et%al.%Neurology%2010;%75:2087–96.%
Methods%
•  CHARTER participants (N=38) with longitudinal follow-up
on ART.
PBMC → HIV DNA → PCR 4 coding regions
•  Next generation sequencing (454, Roche)
•  Bioinformatics and phylogenetic analysis
env: C2-V3
(416 bp)
pol: PR and RT
(297 and 534 bp)
gag: p24
(253 bp)
Propor6on%of%HIV%dual%infec6on%and%
neurocogni6ve%impairment%%
The image cannot be displayed. Your computer may not have enough memory to open the image, or the image may have been corrupted. Restart your computer, and then open the file again. If the red x still appears, you may have to delete the image and then insert it again.
•  High%prevalence%of%HIV%dual%infec6on%(24%)%among%chronically%infected%
individuals%on%ART.%%
•  Impaired%individuals%had%higher%propor6on%of%HIV%dual%infec6on%p'=%0.058%
Wagner%et%al.,%Poster%471,%CROI%2014,%Atlanta,%GA%%
Neurocogni6ve%impairment%and%
HIV%dual%infec6on%
Effect!of!dual!infec?on!on!global!neurocogni?ve!impairment!
Adjusted!Analysis!
OR!(95%!CI)! P!value!
HIV!dual!infec?on! 35.913%(1.84,5978.725)% 0.014!
Current!CD4! 0.995%(0.989,0.998)% 0.001%
Es?mated!Dura?on!HIV!(months)! 0.992%(0.978,1.004)% 0.199%
Log10!CSF!Viral!Load! 5.1859497e+37%(0,NA)% 0.086%
Wagner%et%al.,%Poster%471,%CROI%2014,%Atlanta,%GA%%
Outline%
•  Introduc6on%
•  How%common%is%superinfec6on?%
•  What%are%the%individual%consequences?%
•  What%does%it%portend%for%ra6onal%vaccine%
design?%
NAb%Response%During%Primary%HIVI1%Infec6on%
Richman%et'al.,%PNAS%2003%
Vaccines%and%Superinfec6on%
•  Neutralizing%an6bodies%(NAbs):%single%clearest%correlate%
of%protec6on%from%reIinfec6on%with%most%viruses%and%of%
protec6on%mediated%by%viral%vaccines1%
•  Recent%studies%underscore%need%for%beber%
understanding%of%natural%development%of%NAbs%for%
vaccine%design2,3%
–  Level%required%to%protect%from%an%infec6on%challenge%
•  Superinfec6on:%unique%opportunity%to%study%correlates%
of%protec6on%
1Plotkin%SA.%C'R'Acad'Sci'III'1999,322:943I951%
2Klein%et%al.,%Nature'2012;%492:118I122%
3Walker%et%al.,%Nature%2011;%477:466I470%
Superinfec6on%resembles%primary%infec6on:%
similarity%to%consensus%of%early%SI%env'
Sheward%et%al.,%JID%2015%Mar%9.%pii:%jiv136%
•  SI%viruses%are%not%more%similar%to%primary%virus%(colored%line)%than%would%be%
expected%for%unlinked%sequences%(grey%lines),%indica6ng%absence%of%recombina6on.%%
•  HL%plot%of%early%SI%single%genome%env'sequences%indica6ve%of%a%“star”%phylogeny%of%
near%iden6cal%sequences.%Red%6cks%represent%nonIsynonymous%muta6ons.%
Superinfec6on%resembles%primary%infec6on:%
shorter,%less%glycosylated%variable%env%regions%
Sheward%et%al.,%JID%2015%Mar%9.%pii:%jiv136%
•  Superinfec6ng%T/F%viruses%have%env'with%shorter%(A),%less%glycosylated%(B)%variable%
regions%compared%to%matched%chronic%viruses%sampled%at%3%years%post%infec6on.%
NAb%Response%During%HIVI1%Superinfec6on%
Smith%et'al.,%Virology%2006%
Comparing%NAb%ac6vity%in%HIV%
superinfec6on%vs.%monoinfec6on%
• CaseIcontrol%study%of%NAb%ac6vity%against%
autologous%and%heterologous%viruses%before%
and%aner%superinfec6on%%
– Compared%to%monoinfected%controls%matched%to%
dura6on%of%infec6on%within%3%months%
•  10%superinfec6on%cases%
•  19%monoinfec6on%controls%
Neutraliza6on%breadth%and%potency%
•  Monogram:%neutraliza6on%assays%against%autologous%and%
heterologous%pseudoviruses.%
•  Infec6vity%inhibi6on%>%IC50%6ter%>%neut%score%(breadth%and%
potency)%
%
1Richman%et%al.,%PNAS%2003;%100,7:4144I4149%
2Simek%et%al.,%J.Virol.%2009;%83(14):7337%
Tier%1%(neutraliza6onIsuscep6ble)%
viruses:%
%
SFI162%(subtype%B)%
NL4I3%(subtype%B)%
%
Tier%2%(moderately%neutraliza6onI
resistant)%viruses:%
%
94UG103%(subtype%A)%
92BR020%(subtype%B)%
JRICSF%(subtype%B)%
MGRMIC026%(subtype%C)%
93IN905%(subtype%C)%
92TH021%(CRF%AE)%
NAb%response%against%6er%1%subtype%B%viruses%
•  Significantly%lower%NAb%against%6er%1%subtype%B%viruses%among%those%
who%will%later%acquire%intrasubtype%B%superinfec6on.%
Wagner%et%al.,%Oral%CI129,%CROI%2013%
Pre-superinfection NAb against NL43
Monoinfection Pre-Superinfection
10
100
1000
NL43logIC50
p = 0.08
Pre-superinfection NAb against SF162
Monoinfection Pre-Superinfection
10
100
1000
SF162logIC50
p = 0.01
NAb%response%against%autologous%viruses%
*Note:%Subject%censoring%due%to%start%of%ART.%
*%
Monoinfection After SI
100
1000
10000
100000
10
24-MonthViruslogIC50
p = 0.017
12%Months%PostIInfec6on% 24%Months%PostIInfec6on%
Monoinfection Before SI After SI
10
100
1000
10000
100000
3-MonthViruslogIC50
p = 0.055
p = 0.071
•  Superinfec6on%cases%mounted%lower%NAb%against%3Imonth%autologous%
virus%and%24Imonth%contemporaneous%autologous%virus%than%
monoinfected%controls.%
Development!of!autologous!NAb!to!early/founder!virus!Env!is!slow!or!absent!prior!to!
superinfec?on.!Plasma%NAb%IC50%6ters%to%early/founder%virus%Env%were%determined%over%the%
course%of%the%first%year%of%infec6on%for%3%superinfected%(dashed%lines)%and%10%nonIsuperinfected%
matched%controls%(solid%lines).%Asterisks%mark%6me%at%which%superinfec6on%was%detected%in%the%
superinfected%cases.%
Low%autologous%NAb%prior%to%intrasubtype%C%superinfec6on%
Basu%et%al.,%Retrovirology%2012,%9:76%
Figure!5.!Cross.neutralizing!Breadth!and!Potency!against!HIV.1!Subtype!C!Env!Reference!Panel.!
Bolded%individuals%represent%superinfected%individuals%with%evidence%of%superinfec6on%from%
outsider%partnerships%(ZM282M,%ZM211F%and%ZM247F)%or%nonIsuperinfected%controls%who%selfI
reported%outside%partnerships.%Panel%included%Envs%of%both%Tier%1b%and%Tier%2%sensi6vi6es.%%
Heterologous%NAb%breadth%and%potency%%
against%subtype%C%virus%panel%
Basu%et%al.,%Retrovirology%2012,%9:76%
Superinfec6on%and%HLA%haplotypes%
•  Frequency%analysis%of%HLA%alleles%among%
monoinfected%and%superinfected%SD%cohort%
par6cipants:%
–  HLAIB*35%and%HLAIC*04%associated%with%a%
significantly%increased%risk%of%HIV%superinfec6on.%
•  In%mul6variable%analysis,%HLAIA*29,%HLAIA*32,%
and%HLAIC*04%were%significantly%associated%with%
increased%superinfec6on%risk.%%
–  Increased%risk%was%independent%of%sexual%risk%
behavior,%CD4+%TIcell%count%and%VL.%%
Overall%Conclusions%
•  High%rates%of%intrasubtype%B%HIV%dual%infec6on%in%
highIrisk%cohort%
–  Different%rates%depending%on%cohort%studied%
–  Most%cases%occur%in%first%two%years%
•  Superinfec6on%is%associated%with%higher%VL,%lower%
CD4%and%neurocogni6ve%impairment.%
•  Superinfec6on%associated%with%lower%NAb%
response%in%first%2%years%aner%primary%infec6on.%
•  Intrasubtype%B%superinfec6on%is%associated%with%
specific%HLA%alleles.%
Acknowledgments%
UCSD%
Davey%Smith%
Doug%Richman%
Caroline%Ignacio%
Melissa%Laird%(PacBio)%
Ben%Murrell%
Antoine%Chaillon%
Scob%Letendre%
Allen%McCutchan%
Donald%Franklin%
Florin%Vaida%
Siqi%Liu%
%
%
%
Funding%
U.S.%Department%of%Veterans%Affairs%
Na6onal%Ins6tutes%of%Health%
Interna6onal%AIDS%Vaccine%Ini6a6ve%
Na6onal%Science%Founda6on%
James%B.%Pendleton%Charitable%Trust%
Monogram%Biosciences%
Terri%Wrin%
Pham%Phung%
Yolanda%Lie%
All%Par6cipants%in%the%San%Diego%
Primary%Infec6on%Cohort%and%
CHARTER.%
The%Scripps%Research%Ins6tute%
Pascal%Poignard%
Elise%Landais%

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