generation of novel chagas vaccines: evolving -
TRANSCRIPT
Generation of Novel Chagas VaccinesEvolving Studies / Work in Progress
Christopher S. Eickhoff1, Matthew Ardito2, Eric Gustafson3,
William Martin2, and Daniel F. Hoft1
1 Saint Louis University
St. Louis, MO
2EpiVax, Inc.
Providence, RI
3 University of Rhode Island
Providence, RI
Presentation Summary
1) Chagas disease background
2) Study design & prototype vaccines
3) Future directions
Chagas DiseaseNeglected infection of poverty
• most common cause of heart disease deaths
in endemic areas (10-50,000 deaths/yr)
• drug treatment:•Benznidazole/Nifurtimox
-highly successful during acute infection
-promising in reducing disease progression
**- side effects: 30-40%=stop therapy
• available vaccines : NONE
Trypanosoma cruzi
• 11-18 million infected (300,000 in U.S.)
• 40-100 million at risk
• life-long chronic infection
T. cruzi mouse model
• develop acute disease & mortality
• models developed for studying mucosal and
systemic infection
• develop cardiac disease/inflammation (ECG/H&E)
• availability of ‘humanized’ mice (HLA-A2/DR1 tg)
Chagas Immunity
Mouse data:
• CD4+ and CD8+ T cells critical for protection
Human data:
• T- and B- cell responses against several T.
cruzi proteins
• CD8+ IFN- + T cells correlate with decreased
disease progression
GOAL Design a Chagas vaccine targeting
CD4+ and CD8+ T cell responses
Overall Study Design
Identify key CD4+ & CD8+ T cell epitopes & clusters (multiple HLA),
synthesize peptides
Validation using HLA binding assays &
in vitro assays with T. cruzi+ human T cells
Generate synthetic epitope-
based DNA vaccines
Vaccinate HLA A2+DR1+ Tg mice
Protection against acute T. cruzi
challenge
(prophylactic vaccine)
Protection against disease
progression
(therapeutic vaccine)
iVAX Tools
EpiMatrix – Maps T cell epitopes across HLA
(8 common class II alleles, 6 class I
supertypes)
iVAX Tools
EpiAssembler – assembles overlapping
epitopes to encode immunogenic
consensus sequences (ICS)
T. cruzi genome/proteome
• Published 2005:
– genome of a single reference strain
– proteomes of all 4 T. cruzi life stages
• Excellent resource for many aspects of T.
cruzi research, including vaccine
development
T. cruzi genome/proteome
• Revealed the presence of several large
gene families– The trans-sialidase (TS) gene family is the largest:
>1,400 members
>5% of genome
Trans-sialidase (TS) • transfers sialic acid from
host to parasite
• necessary for parasite
infectivity
• virulence factor
• immunogenic (mice &
humans)
Functional and non-functional TS genes
Only 12 of the 1,400 TS gene family members
encode active enzyme.
Do T cell epitopes present in diverse non-functional
TS genes play a role in parasite persistence and
immunoevasion?
Identified 2,900
unique 9mers
392 conserved in
≥50% F-TS genes
Total of 11 class II ICS
clusters identified
* Top 5-6 sequences predicted by EpiMatrix for each of the
supertype class I alleles selected for further analysis
Functional
TS genes
(12)
Non-functional
TS genes
(723)
Identified 196,664
unique 9mers
750 conserved in
≥5% NF-TS genes
Total of 12 class II ICS
clusters identified
Epitope identification in F-TS and NF-TS genes
Conservatrix
EpiMatrix / EpiAssembler
F-TS Prototype vaccinesT cell responses induced by full length TS vaccination
HLA A2+DR1+ tg
Week 0 Week 2 Week 5 Week 8
DNA i.m DNA i.m. Adenovirus s.c. IFN- ELISPOT
CD4+ Spleen cells CD8+ Spleen cells
-Vaccination with native F-TS induces CD4+ and CD8+ T cell
responses against F-TS class II clusters (DRB*0101) &A0201 peptides predicted by EpiMatrix.
T. cruzi genome - 25,011 genes
T. cruzi proteome Mass spec data
(AMA/Tryp/BFT) - 2,185 genes
Potentially secreted proteins (SignalP,LipoP,Phobius)
204 genes
Class I 9mer EpiMatrix
Class II EpiMatrix/ClustiMer
BLAST analysis
HLA binding assays
IFN- ELISPOT with Chagasic T cells
Prepare ‘string-of-beads’ epitope based
vaccines & test in HLA A2+DR1+ Tg mice
Whole-genome-derived epitope identification
Validation of selected Class II clusters (Class II binding assays)
Whole genome-derived epitope identification
Seq-1 Surface protease gp63 KRDILTKEKRSIILNSLLPRAFGMH 4 25 40.27Seq-2 Surface protein GGIPLLLRAPLLMLAAVASFFGF 3 23 52.83Seq-3 Hypothetical conserved protein HIPFVFFFSITSSSKNSSQSR 2 21 57.35Seq-5 Dynein light chain GPGLRELKKLKILSLGRNVIRKIE 2 24 52.72Seq-6a Hypothetical conserved protein AEEVLKAAAPALFLSK 2 16 22.49Seq-6b Hypothetical conserved protein APALFLSKNKSAEEESV 2 17 25.06Seq-8 Hypothetical conserved protein RGLVLLLSFITSPLSLQQAFE 2 21 42.77Seq-9 Hypothetical conserved protein PTETLQLLTNILQNFPSLFKSV 2 22 42.1Seq-10 Hypothetical conserved protein HIAVKYVKLVYLLRANPSLSTPSL 1 24 89.66
Seq-15a Hypothetical conserved protein RNDVLIMESLLRQLRVS 1 17 21Seq-15b Hypothetical conserved protein ESLLRQLRVS ISNALRLASRT 1 21 64.16Seq-16 ATPdependent Clp protease ARPLKRLVQSVLLNRLALMLLDGR 1 24 59.32
Seq-17a Proteosome regulatory nonATPase ERQVDALVHLLSVIRSFFSL 1 20 46.08Seq-17b Proteosome regulatory nonATPase SVIRSFFSLLPKAKTTRM 1 18 36.61
10<IC50<100
IC50<10
Weak/Non-binder
Moderate binder
Strong binder
Cluster
Score
DRB*
0101
DRB*
0401
DRB*
0701
DRB*
1501
IC50>100
SEQUENCE
ID
TriTrypDB
gene description Sequence
#
genes
AA
length
• EpiMatrix predicted HLA binding with high success
(93% to HLA DRB*0101&1501; overall 70%)
Future Directions
• Continue synthesizing and validating
selected peptides– HLA binding assays
– In vitro studies with T. cruzi infected human
T cells
• Generate synthetic epitope vaccines
• Test in HLA A2+DR1+ tg animals as
prophylactic v. therapeutic vaccines
AcknowledgmentsSaint Louis University
St. Louis, MO
EpiVax, Inc.
Providence, RI
University of Rhode Island
Providence, RI
Daniel Hoft
Nicole Sullivan
Jenny Blase
Matthew Ardito
William Martin
Frances Terry
Annie De Groot
Eric Gustafson
Joseph Desrosiers
Sheba Meymandi – Olive View Chagas Clinic
NIH RO1-AI040196 to D.F.H.
3U19AI082642-02S1, Translational Immunology Research and Accelerated
[vaccine] Development Program