Drivers of individual variation in influenza vaccine response and protection from infection

Active Project Grant Awarded Last action

Award ID
R01AI170116
Recipient
Awarding agency
Obligated
$10,217,682

Award facts

Assistance listing
93.855 Allergy and Infectious Diseases Research
Completion date 87% complete
Place of performance
Chicago, IL 60637, USA

Award details come from USAspending.gov.

Description

Abstract
The induction of protective immune responses through vaccination is central to the management of many pathogens. For antigenically variable pathogens such as influenza, protective immune responses impose a major selective pressure on viral populations and indirectly influence vaccine strain selection and vaccine effectiveness. Our poor understanding of the generation and maintenance of protective immunity to influenza hinders vaccine development and the accuracy of evolutionary forecasts. Antibody titers to the hemagglutinin (HA) surface protein were established as a correlate of protection 50 years ago, and more recent evidence shows many anti-HA antibodies directly and indirectly contribute to viral neutralization. However, HA titers remain only moderately predictive of an individual's risk of infection on exposure, and the contributions of other immune responses are less well understood. Understanding the causes in addition to correlates of protection could increase the accuracy of forecasts of viral fitness and provide reliable endpoints for vaccine development. Here, we propose complementary approaches to identify the correlates and drivers underlying protection from infection and heterogeneity in vaccine responses. We will integrate diverse variables, including infection and vaccination history, baseline antigen-specific and antigen-agnostic immune states, intrinsic characteristics including age, SEX, and body mass to predict responses to influenza vaccination and extract mechanistic insight. In order to address our specific aims, we will leverage data from existing, longitudinal studies of immune parameters following influenza virus infections and vaccination in humans. First we will use computational and multimodal single-cell approaches to investigate how vaccination and infection impact host immune status. Emerging evidence, including our own data, suggests that vaccination and infection can establish new antigen-agnostic immune set points that affect future vaccine responses. Next we propose to integrate complementary computational approaches, spanning machine learning, causal mediation analysis, and mechanistic modeling to predict and develop causal mechanistic insight into vaccine responsiveness and protection from severe and mild infection. We will develop and distribute a suite of accompanying tools to make these novel approaches accessible to bench and computational biologists. Improved prediction of immune responses, especially protective immune responses, could lead to more effective vaccination strategies that mitigate vaccine failure in different subpopulations and improve the public health impact of influenza vaccination. The methods and tools that we develop can provide foundational frameworks to dissect responses to other vaccines and pathogens.

Transactions

Action Obligated Date
Amendment $1,372,970
Amendment $0
Amendment $0
Amendment $1,391,997
Amendment $1,417,855
Amendment $1,455,916
Amendment $1,455,916
Amendment $1,561,514
Original award $1,561,514

Subawards

Subrecipient Amount Awarded
Subrecipient not on record Sarah Cobey, Ph.D. Associate Professor, Department of Ecology and Evolution University of Chicago Statement of Work for NIH grant application entitled… $2,367,164
Subrecipient not on record Scope of Work As a subcontractor to the University of Chicago, we will perform the following activities in support of the proposal “Drivers of individual… $359,072
University Of Georgia Research Foundation, Inc. and responsibilities, is the state's flagship institution of higher education. The University of Georgia is classified as a Research I university based on its… $940,923
ST. Jude Children's Research Hospital Dr. Schultz-Cherry will provide immunological and other data as requested on her human cohorts to model the immune responses to influenza infection and… $546,000
The University Of Hong Kong 􀀌􀀕􀀒􀀁􀀄􀀆􀀍􀀁􀀠􀀒􀀎􀀙􀀁􀀘􀀒􀀑􀀁􀀏􀀥􀀁􀀐􀀛􀀪􀀉􀀅􀀁􀀃􀀛􀀣􀀘􀀖􀀚􀀔􀀁􀀣􀀖􀀘􀀘􀀁􀀐􀀛􀀚􀀠􀀞􀀖􀀏􀀡􀀠􀀒􀀁􀀑􀀎􀀠􀀎􀀁􀀎􀀚􀀑􀀁􀀟􀀎􀀙􀀜􀀘􀀒􀀟􀀁􀀠􀀛􀀁􀀠􀀕􀀒􀀁􀀜􀀞􀀛􀀜􀀛􀀟􀀒􀀑􀀁􀀜􀀞􀀛􀀗􀀒􀀐􀀠􀀧􀀁… $484,251

Quick answers

Who received award R01AI170116?

R01AI170116 was awarded to The University Of Chicago by National Institute of Allergy and Infectious Diseases (National Institutes of Health) on July 14, 2022.

How much is award R01AI170116 worth?

$10,217,682 has been obligated on R01AI170116.

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