# Systems Vaccinology Approaches to Define and Predict Immunity in Response to Nontyphoidal Salmonella Conjugate Vaccines

> **NIH NIH K01** · UNIVERSITY OF MARYLAND BALTIMORE · 2022 · $129,222

## Abstract

PROJECT SUMMARY
This proposal is for a Mentored Research Scientist Development Award (K01) for Scott Baliban, Ph.D. Training:
My long-term career goal is to become an independent investigator in systems vaccinology, focusing on defining
the elements that support protective immune responses to pediatric bacterial infections and using this knowledge
to predict infection and vaccination outcomes. My current research expertise involves developing mouse models
of bacterial infectious disease and exploring functional and protective aspects of vaccine-induced antibody
responses. This application presents a five-year career development program meant to expand my vaccinology
toolkit with new areas of expertise in bioinformatics and computational biology. Specifically, I will receive training
in analyzing rich and complex data sets using multi-omics data integration and machine learning. My mentoring
and advising team are experts in all areas of my proposed research, and I have designed a rigorous training
plan that will ensure my success throughout the award. Research: The global rise in pediatric infections caused
by invasive nontyphoidal Salmonella (iNTS) serovars Typhimurium and Enteritidis has created an urgent public
health crisis. We have developed novel glycoconjugate vaccines consisting of the iNTS surface polysaccharide
(core-O-polysaccharide [COPS]) linked to the flagellar monomer protein (FliC). COPS:FliC conjugates are
immunogenic and protective in animal models; however, less is known about the mechanisms that support
successful immunization as well as the in vivo effector function of protective vaccine-induced antibodies. My
preliminary data demonstrate that infant mice respond sub-optimally to COPS:FliC immunization as compared
to adult vaccine recipients and that COPS:FliC-induced antibodies are sufficient for robust protection against
lethal iNTS challenge. In Aim 1, using S. Enteritidis COPS:FliC as an exemplar conjugate vaccine, I will build a
predictive model of vaccine responsiveness based on both gene expression and metabolite perturbations after
vaccination. In Aim 2, I will decipher the in vivo functionality of human anti-COPS:FliC antibodies using the infant
mouse model of fatal iNTS challenge. Outlook: This study will identify vaccine-induced molecular pathways that
correlate with COPS:FliC vaccination outcomes. It will also establish the in vivo importance of specific antibody
effector functions for protection against in infant mice. These findings will support an R01 application where I will
derive more accurate predictive models of COPS:FliC response quality by assessing the temporal dynamics of
metabolomic and transcriptomic responses to vaccination in mice. This approach will be extended to S.
Typhimurium COPS:FliC conjugates, and ultimately the predictive models will be verified in vaccinated human
infants. I will also investigate mechanistic antibody correlates of protection in the infant mouse model with the
goal of devel...

## Key facts

- **NIH application ID:** 10428968
- **Project number:** 1K01AI168587-01
- **Recipient organization:** UNIVERSITY OF MARYLAND BALTIMORE
- **Principal Investigator:** Scott M. Baliban
- **Activity code:** K01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $129,222
- **Award type:** 1
- **Project period:** 2022-02-01 → 2027-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10428968

## Citation

> US National Institutes of Health, RePORTER application 10428968, Systems Vaccinology Approaches to Define and Predict Immunity in Response to Nontyphoidal Salmonella Conjugate Vaccines (1K01AI168587-01). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10428968. Licensed CC0.

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