Human adaptive responses to influenza vaccination and infection are complex, and can be impaired in a variety of conditions, including pregnancy and advanced age, for reasons that are still unclear. We will carry out extensive analyses of lymphocyte phenotypic repertoires, including those of NK cells, and the BCR and TCR sequence repertoires expressed by influenza-specific B cells and T cells, in clinical cohorts designed to include key vulnerable populations, pregnant women and the elderly, known to have impaired responses to influenza vaccination or infection. To evaluate potential specific defects in stages of germinal center reactions, and the proliferation and selection of influenza-specific lymphocytes that eventually become detectable in the blood, we will carry out serial fine-needle aspirations (FNAs) from draining lymph nodes after vaccination, and in tonsils from individuals receiving intranasal vaccine. Paired lymph node and blood data should enable detection of defects in responses that have previously not been accessible to study in humans. We will use this approach to identify key changes in immune responses with adjuvant (MF59) in influenza vaccination for the elderly, and correlate these with resultant antibody quality. An additional goal of this Project will be to leverage prior extensive influenza-specific TCR and BCR sequencing efforts in the Davis, Boyd and Robinson labs, as well as public data, to assemble databases of confirmed influenza-specific receptor sequences to test specific hypotheses. With new computational approaches, we will identify and validate convergent or public receptors that share sequence features indicating that they bind similar epitopes. We will test whether the frequency, diversity, or particular epitope targets of such receptor sequences can predict vaccine responses, and, more importantly, protection against live influenza viral challenge. Two different influenza viral challenge cohorts will be used to validate our TCR and BCR predictors of vaccine protection. This project will provide better understanding of age-related and pregnancy-related alterations in influenza vaccine responses, as well as new knowledge about vaccine responses in secondary lymphoid tissues including lymph nodes and tonsils. In the longer term, working within this U19, Project 2 will contribute to global efforts to improve quantitative and predictive understanding of the human immune system. This knowledge should help to shape strategies for improving and testing the next generation of influenza vaccines to prevent future epidemics and pandemics. Many of these new approaches may also provide a template for developing more effective vaccines in general.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program--Cooperative Agreements (U19)
Project #
5U19AI057229-17
Application #
9894726
Study Section
Special Emphasis Panel (ZAI1)
Project Start
Project End
Budget Start
2020-04-01
Budget End
2021-03-31
Support Year
17
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Stanford University
Department
Type
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305
Goltsev, Yury; Samusik, Nikolay; Kennedy-Darling, Julia et al. (2018) Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imaging. Cell 174:968-981.e15
Gee, Marvin H; Sibener, Leah V; Birnbaum, Michael E et al. (2018) Stress-testing the relationship between T cell receptor/peptide-MHC affinity and cross-reactivity using peptide velcro. Proc Natl Acad Sci U S A 115:E7369-E7378
Cheung, Peggie; Vallania, Francesco; Warsinske, Hayley C et al. (2018) Single-Cell Chromatin Modification Profiling Reveals Increased Epigenetic Variations with Aging. Cell 173:1385-1397.e14
Mamedov, Murad R; Scholzen, Anja; Nair, Ramesh V et al. (2018) A Macrophage Colony-Stimulating-Factor-Producing ?? T Cell Subset Prevents Malarial Parasitemic Recurrence. Immunity 48:350-363.e7
Kooreman, Nigel G; Kim, Youngkyun; de Almeida, Patricia E et al. (2018) Autologous iPSC-Based Vaccines Elicit Anti-tumor Responses In Vivo. Cell Stem Cell 22:501-513.e7
Haynes, Winston A; Tomczak, Aurelie; Khatri, Purvesh (2018) Gene annotation bias impedes biomedical research. Sci Rep 8:1362
Sweeney, Timothy E; Thomas, Neal J; Howrylak, Judie A et al. (2018) Multicohort Analysis of Whole-Blood Gene Expression Data Does Not Form a Robust Diagnostic for Acute Respiratory Distress Syndrome. Crit Care Med 46:244-251
Kronstad, Lisa M; Seiler, Christof; Vergara, Rosemary et al. (2018) Differential Induction of IFN-? and Modulation of CD112 and CD54 Expression Govern the Magnitude of NK Cell IFN-? Response to Influenza A Viruses. J Immunol 201:2117-2131
Wilk, Aaron J; Blish, Catherine A (2018) Diversification of human NK cells: Lessons from deep profiling. J Leukoc Biol 103:629-641
Sweeney, Timothy E; Wynn, James L; Cernada, María et al. (2018) Validation of the Sepsis MetaScore for Diagnosis of Neonatal Sepsis. J Pediatric Infect Dis Soc 7:129-135

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