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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  

(2)

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

 

 

 

 

(3)

KwaZulu-­‐Natal  and  Durban,  South  Africa  

Western Cape Eastern Cape Northern Cape North West Free State Northern Province Gauteng KwaZulu Natal Mpumalanga Durban
(4)

Eastern  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    

(5)

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    

(6)

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  

   

(7)

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  

(8)

Empowerment Program

!

(9)

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  

(10)

 

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
(11)

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    

(12)

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)  

(13)

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

(14)

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

(15)

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

(16)

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?  
(17)

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 CD8
(18)

HIV 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

(19)

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

(20)

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

(21)

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

(22)

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=0.003

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

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

(23)

CD4  T  cell  responses    

(24)

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

(25)

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

(26)

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

(27)

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

(28)

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        

(29)

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

(30)

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

(31)

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

(32)

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  

(33)

-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?

(34)

Treatment  during  hyperacute  phase  blunts  peak  

viremia  

(35)

Raltegravir  intensifica=on  reduces  =me  to  full  

suppression  

(36)

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.    

(37)

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

(38)

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 initiation
(39)

Frequency 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

(40)

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

(41)

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  

(42)

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.    

(43)
(44)

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

(45)

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    

(46)

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  

(47)

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  

FRESH  Par&cipants  

2/22/16  

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The experience, matured in large projects, realized mainly in Africa, has included earthworks and asphalt works, site supervision and management, road planning,

Our findings can be summarized as follows: We show that employment growth and per-capita income growth over the period 1970-2012 was higher in Appalachian counties that received