The live attenuated yellow fever virus vaccine (YFV-17D) that confers life-long protective immunity is one of the most effective vaccines ever developed. The knowledge gained from understanding the molecular mechanisms of how this vaccine works will provide the platform to rationally develop new vaccines against emerging diseases including dengue virus that is now a major global epidemic. Project 1 (Ahmed/Wilson) will focus on immune memory, using a novel in vivo labeling technique in humans will measure the homeostasis and longevity of YFV-specific T cells, track the migration of YFV-17D-induced T cells to mucosal sites, and examine the relationship between CD4 T follicular helper cells (TFH) response and the type of antibody produced after both YFV-17D vaccination and dengue infection. Project 2 (Pulendran/Rice) will determine the molecular mechanisms by which the yellow fever vaccine strain YFV-17D and the pathogenic Asibi strain, as well as dengue virus, stimulate innate immunity to program adaptive immune responses. They will also examine a new paradigm of how the immune system can sense viruses by detecting stress signals in the environment, and modulate adaptive immunity. Project 3 (Goronzy) will examine signaling checkpoints that are important for CD4 T cell memory differentiation and that are compromised in the elderly and relate the epigenetic changes to these critical signaling checkpoints, in particular the AMPK and SIRT1 signaling pathways. A great limitation in human vaccine studies is the low frequency of antigen-specific cells and their inherent heterogeneity, which is amplified in the elderly who respond poorly to vaccination. The goal of the Technology Development Project (TDP) (Haining/Greenleaf) is to develop and apply sensitive assays to measure the transcriptional profiles and epigenetic state in rare cell populations or even single cells. This technology will be applied to each of the Research Projects. The human samples for the Research Projects and TDP will be provided by Core C (Mulligan/Yu/Chokephaibulkit) which is located at two sites: 1) The Emory Hope Clinic where volunteers will be enrolled into the YFV-17D studies. 2) Dengue Clinical Unit, at Siriraj Hospital, Bangkok, Thailand where dengue infected patients will be enrolled.

Public Health Relevance

Vaccines are one of the most cost-effective weapons to prevent infectious diseases and protect public health. A better understanding of the fundamental immunological mechanisms that constitute one of world's most effective vaccines (YFV-17D) would guide the rational design of future vaccines, including for the increasing elderly population. Dengue infection is a global epidemic, understanding the innate and adaptive immune responses to dengue infection would lead to the development of a much needed vaccine.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program--Cooperative Agreements (U19)
Project #
2U19AI057266-11
Application #
8709050
Study Section
Special Emphasis Panel (ZAI1-LAR-I (J1))
Program Officer
Quill, Helen R
Project Start
2003-09-01
Project End
2019-04-30
Budget Start
2014-05-01
Budget End
2015-04-30
Support Year
11
Fiscal Year
2014
Total Cost
$2,884,146
Indirect Cost
$714,275
Name
Emory University
Department
Microbiology/Immun/Virology
Type
Schools of Medicine
DUNS #
066469933
City
Atlanta
State
GA
Country
United States
Zip Code
30322
Kim, C; Fang, F; Weyand, C M et al. (2017) The life cycle of a T cell after vaccination - where does immune ageing strike? Clin Exp Immunol 187:71-81
Goronzy, Jörg J; Weyand, Cornelia M (2017) Successful and Maladaptive T Cell Aging. Immunity 46:364-378
Wang, Taia T; Sewatanon, Jaturong; Memoli, Matthew J et al. (2017) IgG antibodies to dengue enhanced for Fc?RIIIA binding determine disease severity. Science 355:395-398
Kazmin, Dmitri; Nakaya, Helder I; Lee, Eva K et al. (2017) Systems analysis of protective immune responses to RTS,S malaria vaccination in humans. Proc Natl Acad Sci U S A 114:2425-2430
Yan, Yan; Qiu, Shangzhao; Jin, Zhuxuan et al. (2017) Detecting subnetwork-level dynamic correlations. Bioinformatics 33:256-265
Litzenburger, Ulrike M; Buenrostro, Jason D; Wu, Beijing et al. (2017) Single-cell epigenomic variability reveals functional cancer heterogeneity. Genome Biol 18:15
Bowen, James R; Quicke, Kendra M; Maddur, Mohan S et al. (2017) Zika Virus Antagonizes Type I Interferon Responses during Infection of Human Dendritic Cells. PLoS Pathog 13:e1006164
Corces, M Ryan; Trevino, Alexandro E; Hamilton, Emily G et al. (2017) An improved ATAC-seq protocol reduces background and enables interrogation of frozen tissues. Nat Methods 14:959-962
Yanes, Rolando E; Gustafson, Claire E; Weyand, Cornelia M et al. (2017) Lymphocyte generation and population homeostasis throughout life. Semin Hematol 54:33-38
Schep, Alicia N; Wu, Beijing; Buenrostro, Jason D et al. (2017) chromVAR: inferring transcription-factor-associated accessibility from single-cell epigenomic data. Nat Methods 14:975-978

Showing the most recent 10 out of 227 publications