Early HIV-‐specific CD8
+
T cell
responses in treated and
untreated hyper acute HIV
infec=on in the FRESH cohort
Zaza M&ne Ndhlovu, PhD
Instructor in Medicine Ragon
Ins&tute of MGH, MIT and Harvard
Senior Lecturer University of KwaZulu
•
HIV incidence in young women in KwaZulu-‐Natal and in
sub-‐Saharan Africa
•
The FRESH cohort-‐ a unique cohort to address gaps in
HIV preven&on, pathogenesis and cure research
•
Insights on early CD8 and CD4 T cell responses during
untreated and treated hyperacute HIV infec&on
•
Implica&ons for HIV preven&on and cure strategies in
resource-‐limited seQngs
KwaZulu-‐Natal and Durban, South Africa
Western Cape Eastern Cape Northern Cape North West Free State Northern Province Gauteng KwaZulu Natal Mpumalanga DurbanEastern and southern Africa: high new HIV
infec=ons among young women aged 15-‐24 years
• There is a need to beRer understand the reasons for high incidence
among young women
• Current strategies are subop&mal-‐ new biomedical interven&ons
Acute HIV-‐1 infec=on-‐ what lessons can we learn?
Year 1
Vira l lo
ad
Viral set point is a predictor for:
-‐ Rate of disease progression
-‐ Risk of transmission
Key ques(ons:
• What behavioural, socioeconomic and biomedical factors are responsible for such
high incidence among young women?
• What is the nature of the transmiRed/founder virus?
• What do immune responses in acute HIV-‐1 infec&on look like and why do they
FRESH study cohort
•
FRESH
:
F
emales
R
ising through
E
duca&on,
S
upport and
H
ealth
•
Recruit women 18 to 23 at very high risk of HIV
infec&on
•
Objec=ves
1.
Provide an intensive empowerment, life-‐skills and
job readiness curriculum.
2.
Iden&fy persons in the earliest stages of acute
infec&on.
– Study an&viral immune mechanisms
Study setup and sample collec=on
•
Phase I: Surveillance
– Twice weekly HIV RNA PCR tes&ng via finger s&ck blood
draws
– Quarterly blood and mucosal sampling of the female
genital tract
•
Phase II: Acute Infec&on
WEEK 0 1 2 3 4 6 8 12 24 36 48 100 152 PBMC Plasma X X X X X X X X X X X X X SWABS CVL Cytobrush X X X X X X X X X X X X
Empowerment Program
!
Acute infec=ons detected (N=32)
• Median: 124 days; range 0-‐684
As of Sept 29, 2015:
• 699 enrolled
• 32 acute infec&ons (397 uninfected /
ac&ve)
• Incidence 8.5 (95% CI=5.8-‐12.0) per 100
Viral and cellular dynamics
in hyperacute HIV infec&on
0 60 120 180 240 300 -43 2 3 4 5 6 7 8 9 0 200 600 800 1000 1200 1400 400 Days Pl a s m a R N A (l o g 10 c opie s /m l) CD4 Co u n t ( c e lls /mm 3 ) 127-33-0097-079 RNA CD4
FRESH studies
•
The FRESH study design allows us to address
cri&cal ques&ons in:
•
HIV preven&on research-‐
•
Risk factors for HIV acquisi&on (Anahtar et al,
2015,
Immunity
) (Byrne, Anahtar et al,
Lancet ID
,
in press)
•
Innate immune responses (Kløverpris et al, 2016,
Immunity
•
Early B cell responses
•
Early CD8 T cell responses (Ndhlovu et al, 2015,
Immunity
Dynamics of T cell responses in primary HIV
infec=on: experimental approach
Longitudinal analysis of HIV induced T cell responses
Recently ac&vated T cells (CD38+, HLA-‐DR+)
Recently s&mulated cycling T cells (Ki67+, Bcl-‐2 nega&ve) HIV an&gen-‐specific T cells (Elispot, ICS and tetramer)
HIV infec&on induces massive ac&va&on
(CD38+HLA-‐DR+) of CD8+ T cells
Pre-infection Day10 Log VL 7.1 Day3 Log VL 6.3 Day17 Log VL 5.3 Day56 Log VL 4.2 HLA-DR CD38 0.1 6.8 20.1 42.7 1.8
The timing and strength of the initial CD8+ T
cell responses impact viral load set point
3.0 3.5 4.0 4.5 5.0 5.5 0 10 20 30 40 Spearman r= 0.8 p=0.003
Log10 viral load set point
Days to peak CD8+ T cell activation 3.0 3.5 4.0 4.5 5.0 5.5 20 40 60 80 100 Spearman r= !0.8 p=0.006
Log10 viral load set point
Percent acitvated CD8+T
Hyperacute CD8+ T cells are highly prolifera&ve
and pro-‐apopto&c (Ki67+BCL2low)
Pre-infection Day10 Log VL 7.1 Day3 Log VL 6.3 Day17 Log VL 5.3 Day56 Log VL 4.2 BCL-2 Ki 67 0.2 0.6 98.1 1.2 6.0 1.4 85.1 7.2 2.1 69.9 13.8 14.4 1.6 45.2 27.1 26.3 1.6 84.6 14.4 0.2 10 20 30 40 50 60 70 80 90 100 0 10 20 30 40 50 036 186 102 039 267 309 093 271 198 268 208 DFOPV Percent Ki67 high BCL-2 low 3.5 4.5 5.5 10 20 30 40 50 Spearman r= !0.7 p=0.03
Log10 viral load set point
Percent Ki67
high
BCL-2
low
Paucity of IFN-‐
γ
produc&on
in hyperacute infec&on
2/22/16 0 Ki67+ BCL2- IFN-γ 16 10 20 30 *** Proportion of responding CD8+ T cells HIV-‐ specific?Tetramer staining CD8+ T cells
at peak ac&va&on
2/22/16 17 43.8 68.9 70.2 3.8 3.9 10.5 32.4 56.0 8.6 9.2 HLA-DR Te tra me r CD38 CD8HIV specific CD8 T cells are defective in
IFN-gamma secretion during acute HIV infection
HIV CMV 0 20 40 60 80 100 P=0.01
% of teramer+ cells secreting
Assessment of bystander activation during
hyperacute HIV infection
HIV CMV EBV Flu
0 20 40 60 80 100 Kruskal-Wallis p=0.001 CD38+HLA-DR+T etramer+ CD8 T cells HLA-DR CD8 Te tra m er CD38 HIV-specific CMV-specific Flu-specific Donor093 8.6 0.5 0.1 62.6 25.3 3.0 CD 38 CD 38 HLA-DR HLA-DR
HIV-specific CD8 T cells fail to upregulate
survival molecules during acute HIV infection
HIV CMV EBV Flu
0 20 40 60 80 100 Kruskal-Wallis p=0.001 P=0.01 P=0.02 P=0.01 CD127+T etramer+ CD8 T cells
Marked apoptosis of HIV-specific CD8 T cells
during hyperacute HIV infection
Pre infec Peak activ Post activ
0 10 20 30 40 P=0.02 P=0.03 % AnnexinV+PI+ CD8 T cells HIV-specific H IV te tra m er Annexin V CD8 2.1 50.0 CMV-specific CM V te tra m er 1.2 15.2 Apoptosis
CD8 responses in hyperacute HIV Infection
10.2 Te tra m er CD8 64.4 HLA-DR CD 38 Activation 3.0 3.5 4.0 4.5 5.0 5.5 0 10 20 30 40 Spearman r= 0.8 p=0.003Log10 viral load set point
Days to peak CD8+ T cell activation 3.0 3.5 4.0 4.5 5.0 5.5 20 40 60 80 100 Spearman r= !0.8 p=0.006
Log10 viral load set point
Percent acitvated CD8+T
cells
Impact on viral replication
HIV CMV EBV Flu
0 20 40 60 80 100 Kruskal-Wallis p=0.001 P=0.01 P=0.02 P=0.01 CD127+T etramer+ CD8 T cells Poor survival HIV-specific H IV te tra m er Annexin V CD8 2.1 50.0 CMV-specific CM V te tra m er 1.2 15.2 Apoptosis
HIV CMV EBV Flu
0 20 40 60 80 100 Kruskal-Wallis p=0.001 CD38+HLA-DR+T etramer+ CD8 T cells Bystander Activation Ndhlovu et al Immunity 2015
CD4 T cell responses
CD4+ T cell ac&va&on
during acute HIV infec&on
0 102 103 104 105 HLA-DR 101 102 103 104 CD38 0.992 0 102 103 104 105 101 102 103 104 3.31 0 102 103 104 105 101 102 103 104 4.3 0 102 103 104 105 101 102 103 104 1.53 0 102 103 104 105 101 102 103 104 1.32 Pre-infection Day 3
Fiebig I Day 10Fiebig I Day 56Fiebig V1
LogVL:4.1 LogVL:6.9 LogVL:6.11 LogVL:5.3
Day 17 Fiebig I 0 20 40 60 80 100100 150 200 0 4 8 12 036 186 102 039 267 309 093 271 198 268 208
Days following onset of plasma viremia (DFOPV)
Percent activated CD4+ cells
(CD38+HLA
CD4+ T prolifera&on
during hyperacute HIV infec&on
0 102 103 104 105 BCL-2 0 102 103 104 105 Ki67 0.79 0.79 87 11.4 0 102 103 104 105 0 102 103 104 105 3.33 0.274 77.6 18.8 0 102 103 104 105 0 102 103 104 105 6.17 0.346 72.1 21.2 0 102 103 104 105 0 102 103 104 105 1.99 0.773 72.4 24.8 0 102 103 104 105 0 102 103 104 105 0.972 0.505 83.7 14.6
LogVL:4.1 LogVL:6.9 LogVL:6.11 LogVL:5.3
Day 56 Fiebig VI Day 17 Fiebig I Day 10 Fiebig I Day 3 Fiebig I Pre-infection 0 20 40 60 80 100100 150 200 0 2 4 6 8 036 186 102 039 267 309 093 271 198 268 208
Days following onset of plasma viremia (DFOPV)
Percent Ki67
high
BCL-2
low
Dynamics of HIV-specific CD4+ T cell
responses during acute HIV infection
1-6 7-13 14-2 0 21-2 7 28-3 4 35-5 6 57-8 4 0.00 0.05 0.10 0.15 0.20
Days post Fiebeg 1
% IFN-γ + CD4+ T cells Gag Nef Env
Comparison between activated CD4+ T
cells and gamma secreting cells
Activated IFN-γ+ICS 0 2 4 6 8 10 Proportion of responding CD4+ T cells
Number of HLA-DRB1 variants that
can present each peptide
Fr eque nc y of r esponde rs (% ) 80 HLA DRB 1*11:01 HLA DRB 1*13:01 HLA DRB 1*03:01 119 HLA DRB 1*13:01 83 HLA DRB 1*13:01 163 HLA DRB 1*11:02 HLA DRB 1*13:01 37 HLA DRB 1*11:02 HLA DRB 1*03:01 HLA DRB 1*03:02 HLA DRB 1*11:01 38 HLA DRB 1*11:02 41 HLA DRB 1*13:01 HLA DRB 1*11:01 HLA DRB 1*07:01 HLA DRB 1*01:01 HLA DRB 1*03:01 HLA DRB 1*03:02 HLA DRB 1*13:03 59 HLA DRB 1*11:02 40 HLA DRB 1*13:01 HLA DRB 1*03:01 64 HLA DRB 1*13:01 32 HLA DRB 1*07:01 5 HLA DRB 1*13:01 10 HLA DRB 1*07:01 HLA DRB 1*13:01 HLA DRB 1*15:01 4 HLA DRB 1*01:01 HLA DRB 1*13:03 6 HLA DRB 1*11:01 HLA DRB 1*03:01 HLA DRB 1*13:01 369 HLA DRB 1*11:01 25 HLA DRB 1*03:01 HLA DRB 1*07:01 63 HLA DRB 1*03:01 79 HLA DRB 1*03:01 81 HLA DRB 1*03:01 292 HLA DRB 1*03:01 301 HLA DRB 1*03:01 353 HLA DRB 1*03:01 365 HLA DRB 1*03:01 HLA DRB 1*11:01 55 HLA DRB 1*03:01 46 HLA DRB 1*07:01 HLA DRB 1*03:01 290 HLA DRB 1*13:01 289 HLA DRB 1*15:01 92 HLA DRB 1*13:03
Class II tetramer staining
0 102 103 104 105
<Alexa Fluor 700-A>: CD4
0 102 103 104 105 <PE-A>: DRB1101- DV16 0.1 0 102 103 104 105
<Alexa Fluor 700-A>: CD4
0 102 103 104 105 <APC-A>: DRB1101- DV16 0.1 0 102 103 104 105 <APC-A>: DRB1101- DV16 0 102 103 104 105 <PE-A>: DRB1101- DV16 0.0 0.1 0.0 99.9
Activation profile of HIV-specific CD4 T
cells
0 102 103 104 105 <Alexa Fluor 700-A>: CD4 0 102 103 104 105 <APC-A>: DRB1101- DV16 0.03 0 102 103 104 105 <APC-H7-A>: HLADR 0 102 103 104 105 <PE-Cy7-A>: CD38 0 102 103 104 105
<Alexa Fluor 700-A>: CD4
0 102 103 104 105 <APC-A>: DRB1101- DV16 0.06 0 102 103 104 105 <APC-H7-A>: HLADR 0 102 103 104 105 <PE-Cy7-A>: CD38 Acute HIV Chronic HIV
Phenotypic profile of HIV-specific CD4
+T cells in
acute and chronic HIV infection
0 102 103 104 105 <FITC-A>: CXCR5 0 102 103 104 105 <Pacific Blue-A>: PD-1 0 102 103 104 105 <FITC-A>: CXCR5 0 102 103 104 105 <Pacific Blue-A>: PD-1
Conclusions
• CD8+ T cell immune responses during acute HIV-‐1 infec&on is
broader than previously thought (Ndhlovu et al, 2015,
Immunity)
– Acute HIV infec&on rapidly induces massive ac&va&on and
prolifera&on of CD8+ and CD4+T cells
– The magnitude and &ming of CD8+ T cell ac&va&on impact viral load
set point
– A high propor&on of ac&vated CD8+ cells are HIV-‐specific
• HIV-‐specific CD8+ and CD4+ T cells are defec&ve for cytokine
secre&on, memory genera&on and prone to apoptosis during acute HIV infec&on following ex-‐vivo s&mula&on
• There is measurable expansion of HIV-‐specific peripheral TfH
-5 0 0 5 0 1 0 0 1 02 1 03 1 04 1 05 1 06 1 07 1 08 0 2 0 0 4 0 0 6 0 0 8 0 0 1 0 0 0 F R E S H A c u te 1 D a y s P la s m a R N A ( c o p ie s /m l) C D 4 C o u n t (U /L ) R N A C D 4 -5 0 0 5 0 1 0 0 1 02 1 03 1 04 1 05 1 06 1 07 1 08 0 5 0 0 1 0 0 0 D a y s P la s m a R N A ( c o p ie s /m l) 3 5 0 C D 4 C o u n t (U /L ) F R E S H R x P a tie n t 1 P la sm a R N A C D 4 C o u n t
The impact of early treatment
on generation and maintenance of
HIV-specific T cell responses?
Treatment during hyperacute phase blunts peak
viremia
Raltegravir intensifica=on reduces =me to full
suppression
Impact of early ART on T cell responses
Inves&gate if very early ART treatment
suppresses the subsequent development of HIV
specific CD8 cell responses by removing the
an&genic s&mulus, OR.
If early ART treatment might help preserve HIV
specific CD4 to CD8 and B cell responses.
Very early ART limit CD4 T cell loss
Preinfection Nadir CD4 Rebound CD4
0 500 1000 1500 2000 CD4 Count (cell/mm 3 ) p=0.01 ns ns
Preinfection Nadir CD4 Rebound CD4
0 500 1000 1500 CD4 Count (cell/mm 3) p=0.0001 p=0.001 p=0.01
CD8
+T cell responses in early treated subject
0 102 103 104 105 HLA-DR 0 102 103 104 105 CD38 Gate % CD8 23.1 TetPE 3.56e-3 0 102 103 104 105 0 102 103 104 105 Gate % CD8 46.3 TetPE 5.67 0 102 103 104 105 0 102 103 104 105 Gate % CD8 43.1 TetPE 9.8 0 102 103 104 105 0 102 103 104 105 Gate % CD8 34.4 TetPE 5.7 0 102 103 104 105 0 102 103 104 105 5.7 Day 56 Log VL <2.0 0 102 103 104 105 0 102 103 104 105 9.8 Day 21 Log VL <2.0 Day 4 Log VL 3.5 Pre-infection 0 102 103 104 105 0 102 103 104 105 5.7 0 102 103 104 105 CD8 0 102 103 104 105 Tetramer 0.0 -150 -75 00 25 50 75 100 125 150 2 3 4 5 6 7 8 0 200 400 600 800 1000 1200 1400 127-33-0628-451 RNA CD4 Days Pl a s m a R N A (l o g10 c opie s /m l) CD4 Co u n t ( c e ll/mm 3 ) Treatment initiationFrequency of individual tetramers
+CD8
+cells in early
treated and untreated subjects
Treated Untreated
0 5 10
15 p=0.01
Frequency of single tetramer+ cells
Increased CD127 expression on CD8+ T cells during early treated
hyperacute HIV infection
Treated Untreated 0 20 40 60 80 100 p=0.0001 CD127 + Te tr am er + CD8 + cells
HIV
-specific CD8
+T cells in early treated subjects
have a more more functionally competent
0 102 103 104 105 0 102 103 104 105 3.5 0 102 103 104 105 0 102 103 104 105 1.6 3.0 2.0 93.3 0 102 103 104 105 0 102 103 104 105 1.3 0 102 103 104 105 0 102 103 104 105 1.2 0.3 0.4 98.1 Treated Untreated IFN-‐gamma IFN-‐gamma CD8 CD8 Te tr am er Te tr am er Te tr am er Te tr am er
Conclusions
• Very early treated individuals have measurable T cell responses that
have a pro-‐survival phenotype
• Prompt an&gen withdrawal results in stable HIV-‐specific CD8 T cell
clonal repertoire.
The Ad26 mosaic vaccine yielded many more epitope-‐ specific responses than did the Ad26 M consensus, clade B + clade C, or op&mal natural clade C vaccines
Vaccinate FRESH subjects with Ad26 mosaic vaccine
Rhesus Monkeys
Proteinase K Lysis Cells
Pre-‐amplifica=on from cell lysate
Single well pre-‐amplifica=on of HIV and CD3
5’LTR gag pol env 3’LTR
Alu Alu
Total HIV DNA Integrated HIV DNA
U5 U3 gag pol en v 2-‐LTR circles HIV CD3
Real-‐=me nested PCR of pre-‐amplified products TaqMan Probes
(sensi=vity: 1 HIV DNA copy)
Frequency of cells harbouring HIV DNA
HIV copy number 2 X CD3 copy number
Assays to measure HIV Persistence
adapted from
Conclusions I
•
The FRESH study design allows us to address cri&cal
ques&ons in HIV preven&on research-‐
– such as the impact of cervicovaginal microbiota on female
genital inflamma&on (Anahtar et al, 2015, Immunity) and impact of IPC on HIV acquisi&on risk (Byrne, Anahtar et al, Lancet ID, in press)
•
FRESH study par&cipants ini&ated on cART during
hyperacute HIV infec&on may offer new insights on long-‐
term viral remission
•
Understanding of immune responses following cART
Acknowledgements
•
Ragon Ins=tute
– Dr. Bruce Walker – Galit Alter – Xu Yu•
HIV Pathogenesis
Programme/UKZN
– Prof. Thumbi Ndung’u
– Krista Dong – Amber Moodley – Nikoshia Mewalal – Karyn Pretorius – Philomena Kamya – Sannie Mahungela – Nasreen Ismael
–