Influenza viruses are major respiratory tract pathogens that present significant risks to individuals of all ages, particularly during pandemics. These risks would be greatly amplified should the lethal avian influenza strains, such as H5N1 and H7N9, become capable of human-to-human transmission, or if a new recombinant strain were engineered as a bioterror agent. Although vaccination can prevent influenza-associated morbidity and mortality, it does not do so in some people, even in healthy adults. This proposal seeks to leverage technological advances in the Robinson and Blish laboratories to build on findings from prior CCHI studies at Stanford that highlighted environmental exposures and the diversity and maturity of the lymphocyte repertoire as critical factors influencing vaccine responses. We hypothesize that prior environmental exposures influence the maturity and diversity of the immune repertoire and responses to different vaccines and play a greater role than genetics in generating effective vaccine-induced immunity against influenza. To investigate this hypothesis, we will use technologies recently developed in the Robinson and Blish laboratories to comprehensively define the phenotypic and functional repertoires of B cells, T cells and NK cells responding to influenza vaccination. We will couple our unique ability to measure the diversity, clonality, and functions of T, B, and NK cell populations at the single-cell level with the resources, expertise, and emerging technologies provided by the other U19 Projects and Cores (e.g., blood samples and clinical data from an extensive twin cohort assembled by the Clinical Core; CyTOF provided by the HIMC and developed by Project 4).
In Aim 1, we will evaluate B cell, T cell and NK cell responses to influenza vaccination in monozygotic and dizygotic twins to determine the role of genetics and environment in the response to vaccination, comparing concordance in monozygotic twin pairs to that in dizygotic twin pairs.
In Aim 2, we will determine how the vaccination method influences lymphocyte diversity and maturity, by comparing the B, T, and NK cell repertoire and responsiveness between monozygotic twin pairs receiving intranasally administered live attenuated vaccine (LAIV) and those receiving parenterally administered inactivated flu vaccine (TIV).
In Aim 3, we will perform an integrated analysis of the datasets from this and other U19 Projects and Cores to determine the optimal levels of immune diversity and maturity that predict effective vaccination. Thus, by dissecting an extensive twin cohort with state-of-the-art tools, we propose to deliver a singularly detailed, integrated picture of the mechanisms governing human immune responses to influenza vaccination.

Public Health Relevance

These studies will greatly advance our understanding of the complex interplay between genetics, environment, and the diversity and functional properties of effective immune responses to influenza vaccination. By using cutting-edge tools to dissect immune responses in an extensive twin cohort, we aim to identify mechanisms that could be harnessed to improve preventive and therapeutic strategies for influenza and other viral infections.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program--Cooperative Agreements (U19)
Project #
5U19AI057229-13
Application #
9041497
Study Section
Special Emphasis Panel (ZAI1)
Project Start
Project End
Budget Start
2016-04-01
Budget End
2017-03-31
Support Year
13
Fiscal Year
2016
Total Cost
Indirect Cost
Name
Stanford University
Department
Type
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94304
Sibener, Leah V; Fernandes, Ricardo A; Kolawole, Elizabeth M et al. (2018) Isolation of a Structural Mechanism for Uncoupling T Cell Receptor Signaling from Peptide-MHC Binding. Cell 174:672-687.e27
Ju, Chia-Hsin; Blum, Lisa K; Kongpachith, Sarah et al. (2018) Plasmablast antibody repertoires in elderly influenza vaccine responders exhibit restricted diversity but increased breadth of binding across influenza strains. Clin Immunol 193:70-79
Sweeney, Timothy E; Perumal, Thanneer M; Henao, Ricardo et al. (2018) A community approach to mortality prediction in sepsis via gene expression analysis. Nat Commun 9:694
Davis, Mark M; Tato, Cristina M (2018) Will Systems Biology Deliver Its Promise and Contribute to the Development of New or Improved Vaccines? Seeing the Forest Rather than a Few Trees. Cold Spring Harb Perspect Biol 10:
Gee, Marvin H; Han, Arnold; Lofgren, Shane M et al. (2018) Antigen Identification for Orphan T Cell Receptors Expressed on Tumor-Infiltrating Lymphocytes. Cell 172:549-563.e16
Keeffe, Jennifer R; Van Rompay, Koen K A; Olsen, Priscilla C et al. (2018) A Combination of Two Human Monoclonal Antibodies Prevents Zika Virus Escape Mutations in Non-human Primates. Cell Rep 25:1385-1394.e7
Wagar, Lisa E; DiFazio, Robert M; Davis, Mark M (2018) Advanced model systems and tools for basic and translational human immunology. Genome Med 10:73
Good, Zinaida; Sarno, Jolanda; Jager, Astraea et al. (2018) Single-cell developmental classification of B cell precursor acute lymphoblastic leukemia at diagnosis reveals predictors of relapse. Nat Med 24:474-483
Satpathy, Ansuman T; Saligrama, Naresha; Buenrostro, Jason D et al. (2018) Transcript-indexed ATAC-seq for precision immune profiling. Nat Med 24:580-590
Vallania, Francesco; Tam, Andrew; Lofgren, Shane et al. (2018) Leveraging heterogeneity across multiple datasets increases cell-mixture deconvolution accuracy and reduces biological and technical biases. Nat Commun 9:4735

Showing the most recent 10 out of 249 publications