(PROJECT 1) The four dengue virus serotypes (DENV1-4) cause the most important mosquito-borne viral disease of humans, with ~100 million cases annually, yet no approved vaccines or antivirals exist. Factors that determine disease outcome following DENV infection are not well understood and are thought to be mediated in part by host immune responses. Viral factors and host innate immune interactions likely influence the quality of the adaptive immune response, which can either protection provide or cause enhancement in a subsequent DENV infection. Project 1 of the Dengue Human Immunology Project Consortium (DHIPC) focuses on characterizing immune signatures associated with infection outcomes and disease severity in natural DENV infections. The overall approach of Project 1 is to take advantage of unique sample sets from long-term ongoing studies of dengue in Nicaragua to enable discovery of immune factors associated with symptomatic DENV infection, severe dengue disease, and specific adaptive immune responses. Project 1 will continue the Nicaraguan Pediatric Dengue Cohort Study (PDCS) to collect samples from well-documented natural repeat DENV infections. It will also leverage an on-going hospital-based study of dengue in Nicaragua to enable investigation of severe vs. mild dengue disease and will conduct an index cluster study to provide samples from asymptomatic viremic individuals. Detailed clinical data will accompany all samples. In conjunction with the world-class DHIPC Cores, a systems biology approach will be used to construct a signature of innate immune responses during natural DENV infection. The constellation of complementary cutting-edge genomic, transcriptomic, proteomic, seromic, and immunophenotyping methods will enable the human immune response to dengue to be dissected with unprecedented detail and sophistication.
Aim 1 will characterize immune profiles in DENV infections with different clinical outcomes: asymptomatic and symptomatic DENV infection using the index cluster study and mild vs. severe disease in the PDCS and the hospital-based study.
Aim 2 will characterize immune profiles in primary and secondary DENV infections, in specific serotype order of infection.
Aim 3 will investigate the association between innate immune signatures and antibody and cell-mediated immune responses. Antibody neutralization, isotype, and repertoire will be evaluated, as well as the magnitude and serotype-specificity or cross-reactivity of the B cell response within Project 1. T cell responses will be evaluated for multi-functionality by intracellular cytokine staining. Overall, Project 1 will enable identification of biomarkers and immune signatures predictive of infection and disease outcome and thus contribute to improving clinical management, vaccine design and development of novel antiviral therapies against dengue.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program--Cooperative Agreements (U19)
Project #
5U19AI118610-04
Application #
9494381
Study Section
Special Emphasis Panel (ZAI1)
Project Start
Project End
Budget Start
2018-06-01
Budget End
2019-05-31
Support Year
4
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Icahn School of Medicine at Mount Sinai
Department
Type
DUNS #
078861598
City
New York
State
NY
Country
United States
Zip Code
10029
Patil, Veena S; Madrigal, Ariel; Schmiedel, Benjamin J et al. (2018) Precursors of human CD4+ cytotoxic T lymphocytes identified by single-cell transcriptome analysis. Sci Immunol 3:
Manganaro, Lara; Hong, Patrick; Hernandez, Matthew M et al. (2018) IL-15 regulates susceptibility of CD4+ T cells to HIV infection. Proc Natl Acad Sci U S A 115:E9659-E9667
Andrade, Paulina; Coloma, Josefina; Harris, Eva (2018) ELISPOT-Based ""Multi-Color FluoroSpot"" to Study Type-Specific and Cross-Reactive Responses in Memory B Cells after Dengue and Zika Virus Infections. Methods Mol Biol 1808:151-163
Wang, Daifeng; Liu, Shuang; Warrell, Jonathan et al. (2018) Comprehensive functional genomic resource and integrative model for the human brain. Science 362:
Michlmayr, Daniela; Pak, Theodore R; Rahman, Adeeb H et al. (2018) Comprehensive innate immune profiling of chikungunya virus infection in pediatric cases. Mol Syst Biol 14:e7862
Tsai, Wen-Yang; Youn, Han Ha; Tyson, Jasmine et al. (2018) Use of Urea Wash ELISA to Distinguish Zika and Dengue Virus Infections. Emerg Infect Dis 24:1355-1359
Young, George R; Terry, Sandra N; Manganaro, Lara et al. (2018) HIV-1 Infection of Primary CD4+ T Cells Regulates the Expression of Specific Human Endogenous Retrovirus HERV-K (HML-2) Elements. J Virol 92:
Tan, Yi; Pickett, Brett E; Shrivastava, Susmita et al. (2018) Differing epidemiological dynamics of Chikungunya virus in the Americas during the 2014-2015 epidemic. PLoS Negl Trop Dis 12:e0006670
Lin, Luan; Chen, Quan; Hirsch, Jeanne P et al. (2018) Temporal genetic association and temporal genetic causality methods for dissecting complex networks. Nat Commun 9:3980
Amir, El-Ad David; Guo, Xinzheng V; Mayovska, Oksana et al. (2018) Average Overlap Frequency: A simple metric to evaluate staining quality and community identification in high dimensional mass cytometry experiments. J Immunol Methods 453:20-29

Showing the most recent 10 out of 42 publications